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MAAP #22X: AI to detect gold mining deforestation across the Amazon – 2024 update

Posted on by Matt Finer
Intro Image. Amazon Mining Watch interactive map.

As gold prices continue to increase (over 30% during the last 12 months), small-scale gold mining activity has emerged as one of the major deforestation drivers across the Amazon. 

It often targets remote areas, thus impacting carbon-rich primary forests within protected areas and Indigenous territories. Moreover, in many cases, we presume that this mining is illegal based on its location within conservation areas (such as protected areas and Indigenous territories) and outside mining concessions.

Given the vastness of the Amazon, however, it has been a challenge to accurately monitor mining deforestation across all nine countries of the biome in a timely manner.

In MAAP #212, we presented the initial results of the new AI-based dashboard (known as Amazon Mining Watch) designed to address this issue. AMW is a partnership between Earth Genome, Amazon Conservation, and the Pulitzer Center’s Rainforest Investigations Network.

This online tool (see Intro Image) analyzes satellite imagery archives to estimate annual mining deforestation footprints across the entire Amazon, from 2018 to 2024 (Note 1). Although the data is not designed for precise area measurements, they can be used to give general estimates. The algorithm is based on 10-meter resolution imagery from the European Space Agency’s Sentinel-2 satellite and produces 480-meter resolution pixelated mining deforestation alerts.

By analyzing the annual mining deforestation footprints across years (since 2018), we are able to detect annual trends and estimate the overall cumulative impact. Here, we present an update focused on the newly added 2024 data.

This data reveals that gold mining is actively causing deforestation in all nine countries of the Amazon (see Base Map below). The countries with the highest levels of new gold mining deforestation in 2024 are 1) Brazil, 2) Guyana, 3) Suriname, 4) Venezuela, and 5) Peru.

As a note regarding future steps, the Amazon Mining Watch partnership is currently working to enhance the functionality of the dashboard, to increase the frequency of the information produced (quarterly mining alerts), and facilitate the production of targeted, high-quality reports on key monitoring areas anywhere in the Amazon. The AMW will be a one-stop shop platform including real-time visualization of: 1) AI-based detection of mining deforestation across all nine Amazonian countries; 2) Hotspots of urgent mining cases, including river-based mining; and 3) the socio-environmental costs of illegal gold mining with the Conservation Strategy Fund (CSF) Mining Impacts Calculator.

Base Map. Mining deforestation footprints, 2018-2024. Data: AMW, Amazon Conservation/MAAP.

MAJOR FINDINGS

Amazon & National Scale Patterns

The Base Map below presents the gold mining footprint across the Amazon, as detected by the AMW algorithm. This data serves as our estimate of gold mining deforestation.

Yellow indicates the accumulated mining deforestation footprint for the years 2018- 2023; that is, all areas that the algorithm classified as a mining site vs other types of terrain, such as forest or agriculture. Red indicates the new mining areas detected in 2024.

Three major Amazon gold mining regions stand out: southeast Brazil (between the Tapajos, Xingu, and Tocantis Rivers), Guyana Shield (Venezuela, Guyana, Suriname, and French Guiana), and southern Peru (Madre de Dios).

 

 

 

 

Graph 1. Amazon mining deforestation footprint. Data: AMW

Graph 1 quantifies the spatial data detected by the AMW algorithm. 

The cumulative mining deforestation footprint in 2024 was 2.02 million hectares (4.99 million acres)

For context, the initial mining deforestation footprint was around 970,000 hectares in 2018, the first year of Amazon Mining Watch data.

Between 2019 and 2024, we estimate that the gold mining deforestation grew by 1.06 million hectares (2.61 million acres).

Thus, over half (52.3%) of the cumulative footprint has occurred in just the past six years.

 

 

 

 

Graph 2 shows that, of the total accumulated mining (2.02 million hectares), over half has occurred in Brazil (55.3%), followed by Guyana (15.4%), Suriname (12.4%), Venezuela (7.3%), and Peru (7.0%).

Graph 2. Gold mining deforestation across the Amazon, by country. Data: AMW, Amazon Conservation/MAAP

Graph 3 digs deeper into the AMW data, revealing additional trends between years. This data highlights the annual changes in detected mining deforestation. Note the trend across the entire Amazon at the top in green for overall context, followed by each country. Note that Brazil (orange line) accounts for much of the annual mining (over 50%).

In 2024, we documented the new gold mining deforestation of 111,603 hectares (275,777 acres). This total represents a decrease of 35% relative to the previous year 2023 and 45% relative to the peak year 2022.

The countries with the highest levels of new gold mining deforestation in 2024 were 1) Brazil (57,240 ha), 2) Guyana (19,372 ha), 3) Suriname (15,323 ha), 4) Venezuela (9,531 ha), and 5) Peru (6,020 ha). However, all five of these countries saw a major decrease in 2024, between 33% (Brazil and Suriname) and 46% (Peru).

Graph 3. Annual changes in new mining deforestation. Data: AMW
Figure 1. Protected areas & Indigenous territories impacted by mining deforestation. Data: AMW, ACA/MAAP.

Protected Areas & Indigenous Territories

We estimate that 36% of the accumulated mining deforestation in 2024 (over 725,000 hectares) occurred within protected areas and Indigenous territories (Figure 1; Note 2), where much of it is likely illegal.

Notably, the vast majority of this overall mining deforestation in protected areas and Indigenous territories has occurred in Brazil (88%).

 

 

 

 

 

 

 

 

 

Figure 2a. Top 10 impacted protected areas & Indigenous territories. Data: AMW, ACA/MAAP.

Figure 2a illustrates the top ten for both protected areas and Indigenous territories, in terms of both accumulated mining deforestation footprint and new mining deforestation in 2024. Figures 2b-d show zooms of the three main mining areas: southeast Brazil (2b), Guyana Shield (2c), and southern Peru (2d).

The top nine most impacted protected areas (in terms of accumulated footprint) are all in Brazil, led by Tapajós Environmental Protection Area. This area has lost over 377,000 hectares, followed by Amanã and Crepori National Forests, Rio Novo National Park, Urupadi, Jamanxim, and Itaituba National Forests, Jamanxim National Park, and Altamira National Forest. The top ten is rounded out by Yapacana National Park in Venezuela.

The three most impacted Indigenous territories are also in Brazil: Kayapó, Mundurucu, and Yanomami. Together, these three territories had a mining footprint of nearly 120,000 hectares. Fourth on the list is Ikabaru in Venezuela, followed by three in southern Peru (San Jose de Karene, Barranco Chico, and Kotsimba) with mining impact of over 17,000 hectares. Rounding out the top ten are Sai Cinza and Trincheira/Bacajá in Brazil, and San Jacinto in Peru.

We also estimate the expansion of over 38,000 hectares of new mining deforestation in protected areas and Indigenous territories in 2024. The protected area with the highest levels of new mining deforestation in 2024 was Tapajós Environmental Protection Area (nearly 19,000 hectares), followed by Amanã and Urupadi National Forests in Brazil, Rio Novo and Jamanxim National Parks in Brazil, Crepori National Forest in Brazil, Campos Amazonicos National Park in Brazil, Yapacan National Park in Venezuela, Guyane Regional Park in French Guiana, and Brownsberg Nature Reserve in Suriname.

Finally, the Indigenous territory with the highest levels of new mining deforestation in 2024 was Kayapó in Brazil (over 2,100 hectares), followed by Ikabaru in Venezuela, Yanomami, Aripuana, and Mundurucu in Brazil, Baramita in Guyana, Kuruáya in Brazil, Isseneru and Kamarang Keng, San Jose de Karene in Peu. It is worth noting that Kayapó, Mundurucu, and Yanomami territories in Brazil all experienced declines in the mining deforestation rate in 2024. For example, Yanomami went from its peak in 2021 to the lowest on record in 2024.

Most impacted areas in eastern Brazilian Amazon

Figure 2b. Most impacted areas in eastern Brazilian Amazon. Data: AMW, Amazon Conservation/MAAP.

Most impacted areas in the Guyana Shield

Figure 2c. Most impacted areas in the Guyana Shield. Data: AMW, Amazon Conservation/MAAP.

Most impacted areas in the southern Peruvian Amazon

Figure 2d. Most impacted areas in the southern Peruvian Amazon. Data: AMW, Amazon Conservation/MAAP.

Conclusion & Policy Implications

Despite a recent downward trend in mining across the region, small-scale mining continues to be a major driver of deforestation and ecosystem degradation in the Amazon.

Our analysis shows that over one-third of this mining occurs within protected areas and Indigenous territories, the vast majority in Brazil. However, since the return of the Lula administration in 2023, Brazil has been ramping up enforcement efforts. This has contributed to the rapid decrease in area lost to mining across the Amazon, given Brazil’s outsized contribution to regional figures. This highlights again the importance of protected areas and Indigenous territories as a crucial policy instrument for the protection of the region’s ecosystems.

Although advances have been made in reducing illegal mining from protected areas in southern Peru, it continues to impact several Indigenous territories (MAAP #208, MAAP #196), particularly those surrounding the government-designated Mining Corridor. In fact, the most affected Indigenous territory in Peru, San Jose de Karene, has already lost over a third of its total area to illegal gold mining.  These territories are part of a regional organization known as FENAMAD, which has been supporting legal actions to help the government make decisions for a rapid response to illicit activities (such as illegal mining) that affect indigenous territories. This process led to the execution of five government-led operations between 2022 and 2024, in three communities: Barranco Chico, Kotsimba and San José de Karene (MAAP #208).

In Ecuador, mining deforestation continues to threaten numerous sites, including protected areas and Indigenous territories, along the Andes-Amazon transition zone (MAAP #206, MAAP #221, MAAP #219). An upcoming series of reports will detail these threats.

AMW is an emerging and powerful new tool, but it does have some caveats. One is that any mining activity less than 500 square meters may not be accurately detected. For example, we have been monitoring small-scale mining in several protected areas, such as Madidi National Park in Bolivia and Puinawai National Park in Colombia, that are not yet detected by the algorithm. In these cases, direct real-time monitoring with satellites is still needed. These areas will soon be added to the AMW as mining “Hotspots” (MAAP#197).

This is also the case for river-based mining that does not cause a large footprint on the ground. Imagery with very high resolution has revealed active river barge mining in northern Peru (MAAP #189) and along the Colombia/Brazil border (MAAP#197). These areas will also soon be added to the AMW as mining “Hotspots”.

As effective as enforcement might be, it will have to compete in 2025 with an activity that is more lucrative than ever, with the price of gold now over 3,000 US$ an ounce, driven by global economic uncertainty. While the threat has receded, it is likely to roar back in at the first opportunity or sign that enforcement is lowering its guard. Tools such as the Amazon Mining Watch, which will eventually publish quarterly updates of newly detected mining deforestation areas, can help governments and local community defenders alike to spot new fronts of gold mining and take action as fast as possible, as well as to valuate socio environmental damages to assess the required (financial) efforts to restore damages caused by illegal mining.

The only tool of this kind to be truly regional in coverage, the AMW can also help foster regional cooperation, in particular in transfrontier areas where a lack of interoperability between official monitoring systems might hamper interventions that are aimed at combating a phenomenon that is linked to other nature crimes and is mostly controlled by international organized crime. 

In the coming years, the MAAP and AMW teams will continue to publish both quarterly and annual reports of the dynamic mining situation in each country and across the Amazon.

Notes

1. Note that in this report, we focus on mining activity that causes deforestation. The vast majority is artisanal or small-scale gold mining, but other mining activities have also been detected, such as iron, aluminum, and nickel mines in Brazil and Colombia. Additional critical gold mining areas in rivers that are not yet causing deforestation (such as in northern Peru, southeast Colombia, and northwest Brazil; see MAAP #197), are not included in this report. This information is not yet displayed in Amazon Mining Watch, but future updates will include river-based mining hotspots. 

2. Our data source for protected areas and Indigenous territories is from RAISG (Amazon Network of Georeferenced Socio-Environmental Information), a consortium of civil society organizations in the Amazon countries. This source (accessed in December 2024) contains spatial data for 5,943 protected areas and Indigenous territories, covering 414.9 million hectares across the Amazon.

Acknowledgments

This report was made possible by the generous support of the Gordon and Betty Moore Foundation.

We thanks colleagues from partner organizations around the Amazon for helpful comments on the report, including: Earth Genome, Conservación Amazónica (ACCA & ACEAA) & Federación Nativa del Río Madre de Dios y Afluentes (FENAMAD), Fundación EcoCiencia, Fundación para la Conservación y el Desarrollo Sostenible (FCDS), and Instituto Centro de Vida (ICV) & Instituto Socioambiental (ISA).

This report was made possible by the generous support of the Gordon and Betty Moore Foundation.

MAAP #224: Illegal Deforestation in the Colombian Amazon – Chiribiquete National Park & Llanos del Yarí – Yaguará II Indigenous Reserve

Posted on by Matt Finer
Graph 1. Deforestation in the Colombian Amazon, 2013-2024. Data: IDEAM, UMD/GFW

The Colombian Environment Ministry recently announced that, after the country experienced its lowest deforestation in over 20 years in 2023, forest clearing rose 35% in 2024 (Graph 1). In addition, the Ministry reported an increase in medium-sized clearing, indicating relatively organized and funded operations (Note 1).

Over the past 10 years, 60% of the national deforestation has occurred in the Colombian Amazon. As Graph 1 indicates, there was a large increase in 2017 following the peace accords with the guerrilla group FARC, and a subsequent decrease in 2022 and 2023 (Note 2). Initial estimates indicate an increase for 2024 (Note 3). Overall, there have been nearly 1,200,000 hectares of deforestation across the Colombian Amazon over the past 10 years.

Much of the clearing in the Colombian Amazon is likely illegal (Law of 2021), occurring in national protected areas and Indigenous reserves.

Base Map: Focal area of the report. Data: ACA/MAAP, FCDS.

Here, we highlight recent 2024-25 deforestation in two key areas in the core of the Colombian Amazon: Chiribiquete National Park (Parque Nacional Natural Serranía de Chiribiquete) and the adjacent Llanos del Yarí – Yaguará II Indigenous Reserve (Resguardo Indígena Llanos del Yarí – Yaguará II). See the Base Map for additional context.

These areas are affected by several deforestation pressures, such as the expansion of road infrastructure, extensive livestock farming, pasture expansion, land grabbing, and illicit crops (coca). These pressures often interact, with access roads facilitating livestock farming and pasture expansion, which then facilitates land grabbing.

These drivers have led to the deforestation of over 7,100 hectares in Chiribiquete National Park since its most recent expansion in 2018 (see Annex 1).

Most recently, we estimate the deforestation of 525 hectares in Chiribiquete National Park (concentrated in the northern sector) during 2024-25, plus an additional 856 hectares in Llanos del Yarí – Yaguará II Indigenous Reserve. Note that most of the deforestation follows access roads.

Below, we illustrate the key cases of recent deforestation in both areas, highlighting the role of access roads as facilitators of illegal clearing. These case studies feature satellite images and overflight photos.

Any deforestation in these areas is noteworthy not only due to its impacts on primary forests, biodiversity, and Indigenous groups, but also on carbon reserves. In an upcoming report, we reveal that Chiribiquete National Park is one of the Amazon’s most important and significant carbon sinks.

This report was conducted in collaboration with our Colombian partner Foundation for Conservation and Sustainable Development (Fundación para la Conservación y el Desarrollo Sostenible – FCDS), and with financial support from the Overbrook Foundation.

Illegal Deforestation Cases

Zoom 1. Chiribiquete National Park. Data: ACA/MAAP, FCDS.

Chiribiquete National Park: Sector el Camuya

Zoom 1 shows the deforestation of 198 hectares during 2024 and early 2025 (indicated by red circles), along the Tunia-Ajaju road in the northwest sector of Chiribiquete National Park.

This road extends 45.3 kilometers into the park.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Photo 1A. Data: FCDS.

In January 2025, FCDS conducted a low-altitude overflight over this sector (see Photos 1A-C).

These photos bring an added level of spatial resolution and perspective, providing greater insight into the cause of the recent deforestation.

Photo 1A highlights deforestation associated with the opening of access roads in the park.

 

 

 

 

 

 

Photo 1B. Data: FCDS.

Photos 1B-C illustrate more clearly the fresh deforestation for expansion of the agricultural frontier.

 

 

 

 

 

 

 

 

 

Photo 1C. Data: FCDS.

 

 

 

 

 

 

 

 

 

 

 

Zoom 2. Chiribiquete National Park. Data: ACA/MAAP, FCDS.

Chiribiquete National Park: Sector El Palmar

Zoom 2 shows the deforestation of 179 hectares during 2024 and early 2025 (indicated by red circles), along the Cachicamo-Tunia road in the northern sector of Chiribiquete National Park.

This road extends 21 kilometers inside the park.

 

 

 

 

 

 

 

 

 

 

Zoom 3. Chiribiquete National Park. Data: ACA/MAAP, FCDS.

Chiribiquete National Park: Sector Norte

Zoom 3 shows the deforestation of 148 hectares during 2024 and early 2025 (indicated by red circles) along or near new access roads in the northeast sector of Chiribiquete National Park.

We estimate the construction of 15.2 kilometers inside the park during this period (also indicated by red circles).

 

 

 

 

 

 

 

 

 

 

Zoom 4. Yarí – Yaguará II Indigenous Reserve. Data: ACA/MAAP, FCDS.

Yarí – Yaguará II Indigenous Reserve 

Zoom 4 shows the major deforestation of 1,070 hectares during 2024 and early 2025 along or near a new illegal road in the northern part of Yarí – Yaguará II Indigenous Reserve.

This road extends 22 kilometers inside the reserve.

 

 

 

 

 

 

 

 

 

 

 

Photo 4D. Data: FCDS.

In January 2025, FCDS conducted a low-altitude overflight over this area, confirming and documenting the new patches of deforestation (see Photos 4D-E).

As noted above, these photos bring an added level of spatial resolution and perspective, providing greater insight into the cause of the recent deforestation.

Both Photos 4D-E indicate the expansion of livestock agricultural activities.

 

 

 

 

 

 

 

Photo 4E. Data: FCDS.

 

 

 

 

 

 

 

 

 

 

 

Policy Implications

The recent deforestation in protected areas and Indigenous territories described above highlights the shortcomings of several current policies of the State of Colombia, which have failed to stem the expansion of cattle ranching and illicit crops as a first step towards land grabbing and permanent deforestation. Several steps could be taken to overcome that failure:

  • Improved coordination between public entities concerned with law enforcement against drivers of deforestation, shortening investigation processes and leading to more effective and comprehensive responses.
  • The inclusion of targets for the reduction of deforestation and the mitigation of impacts on natural forests in agreements for the cessation of hostilities and the de-escalation of the conflict between the national government and armed groups.
  • Monitoring and regulation of public investments for the expansion of livestock farming by local and national governments, to reduce public incentives for deforestation.

Annex 1.

Annex 1. Data: FCDS

Notes

1 Griffin, O (2025) Colombia deforestation rose 35% in 2024, minister says

https://www.reuters.com/business/environment/colombia-deforestation-rose-35-2024-minister-says-2025-02-20/

2 Based on data from Colombia’s Institute of Hydrology, Meteorology and Environmental Studies (Instituto de Hidrología, Meteorología y Estudios Ambientales – IDEAM), a government agency of the Ministry of Environment and Sustainable Development.

3 Based on data from the University of Maryland/Global Forest Watch.

Acknowledgments

This report was conducted in collaboration with our Colombian partner Foundation for Conservation and Sustainable Development (Fundación para la Conservación y el Desarrollo Sostenible – FCDS), and with financial support from the Overbrook Foundation.

MAAP #217: Carbon across the Amazon (part 2): Peak Carbon Areas

Posted on by dcadmin
Figure 1. Example of peak carbon areas in southern Peru and adjacent western Brazil. Data: Planet.

In part 1 of this series (MAAP #215), we introduced a critical new resource (Planet Forest Carbon Diligence) that provides wall-to-wall estimates for aboveground carbon density at an unprecedented 30-meter resolution. This data uniquely merges machine learning, satellite imagery, airborne lasers, and a global biomass dataset from GEDI, a NASA mission.4

In that report, we showed that the Amazon contains 56.8 billion metric tons of aboveground carbon (as of 2022), and described key patterns across all nine countries of the Amazon biome over the past decade.

Here, in part 2, we focus on the peak carbon areas of the Amazon that are home to the highest aboveground carbon levels.

These peak carbon areas correspond to the upper one-third of aboveground carbon density levels (>140 metric tons per hectare).1

They likely have experienced minimal degradation (such as selective logging, fire, and edge/fragmentation effects)2 and are thus a good proxy for high-integrity forests.

Figure 1 shows an important example of peak carbon areas in southern Peru and adjacent western Brazil.

The peak carbon areas are often found in the remote primary forests of protected areas and Indigenous territories, but some are located in forestry concessions (specifically, logging concessions) or undesignated lands (also referred to as undesignated public forests).

Our goal in this report is to leverage unprecedented aboveground carbon data to reinforce the importance of these designated areas and draw attention to the remaining undesignated lands.

For example, peak carbon areas would be excellent candidates for the High Integrity Forest (HIFOR) initiative, a new financing instrument that uniquely focuses on maintaining intact tropical forests.3 HIFOR rewards the climate services that intact tropical forests provide, including ongoing net carbon removal from the atmosphere, and complements existing instruments to reduce emissions from deforestation and degradation (REDD+) by focusing on tropical forests that are largely undegraded.

Below, we detail the major findings and then zoom in on the peak carbon areas in the northeast and southwest Amazon.

Peak Carbon Areas in the Amazon   

The Base Map below illustrates our major findings.

The peak carbon areas (>140 metric tons per hectare; indicated in pink) are concentrated in the southwest and northeast Amazon, covering 27.8 million hectares (11 million ha in the southwest and 16.8 million ha in the northeast).
k

Base Map. Planet Forest Carbon Diligence across the Amazon biome for the year 2022. Data: Planet.

In the southwest Amazon, peak carbon levels are found in southern & central Peru, and adjacent western Brazil.

In the northeast Amazon, peak carbon levels are found in northeast Brazil, much of French Guiana, and parts of Suriname.

By country, Brazil and Peru have the largest area of peak carbon (10.9 million and 10.1 million hectares respectively), followed by French Guiana (4.7 million ha), and Suriname (2.1 million ha).

Protected areas and Indigenous territories cover much (61%) of the peak carbon area (16.9 million hectares).

The remaining 39% remains unprotected, and arguably threatened, in undesignated lands (9.4 million hectares) and forestry concessions (1.5 million ha), respectively.

In addition, high carbon areas (>70 metric tons per hectare; indicated by the greenish-yellow coloration in the Base Map) are found in all nine countries of the Amazon biome, notably Colombia, Ecuador, Bolivia, Venezuela, and Guyana.

Southwest Amazon

­Southern Peru

Figure 2a. Peak carbon area in the southern Peruvian Amazon. Data: Planet, SERNANP, RAISG.

Figure 2a zooms in on the peak carbon area covering 7.9 million hectares in southern Peru (regions of Madre de Dios, Cusco, and Ucayali) and adjacent southwest Brazil (Acre).

Several protected areas (such as Manu and Alto Purús National Parks, and Machiguenga Communal Reserve) anchor this area.

It is also home to numerous Indigenous territories (such as Mashco Piro, Madre de Dios, and Kugapakori, Nahua, Nanti & Others Indigenous Reserves).

 

 

 

 

 

 

 

 

 

 

Figure 2b highlights the major land designations within the peak carbon area of southern Peru.

Figure 2b. Peak carbon areas (outlined in pink), categorized by land designation in southern Peru and adjacent western Brazil. Data: Planet, NICFI, SERNANP, SERFOR, RAISG.

Protected areas and Indigenous territories cover 77% of this area (green and brown, respectively).

The remaining 23% could be considered threatened, as they are located in forestry concessions or undesignated lands (orange and red, respectively). Thus, these areas are ideal candidates for increased protection to maintain their peak carbon levels.

 

 

 

 

 

 

 

 

 

 

 

Central Peru

Figure 3a. Peak carbon area in the central Peruvian Amazon. Data: Planet, SERNANP, RAISG.

Figure 3a zooms in on the peak carbon area in the central Peruvian Amazon, which covers 3.1 million hectares in the regions of Ucayali, Loreto, Huánuco, Pasco, and San Martin.

Several protected areas (including Sierra del Divisor, Cordillera Azul, Rio Abiseo, and Yanachaga–Chemillén National Parks, and El Sira Communal Reserve) anchor this area.

It is also home to numerous Indigenous territories (such as Kakataibo, Isconahua, and Yavarí Tapiche Indigenous Reserves).

 

 

 

 

 

 

 

 

 

 

Figure 3b. Peak carbon areas (outlined in pink), categorized by land designation in central Peru. Data: Planet, NICFI, SERNANP, SERFOR, RAISG.

Figure 3b highlights the major land designations within the peak carbon area of central Peru.

Protected areas and Indigenous territories cover 69% of this area (green and brown, respectively).

The remaining 31% could be considered threatened, as they are located in forestry concessions or undesignated lands (orange and red, respectively), and are ideal candidates for increased protection.

 

 

 

 

 

 

 

 

 

 

 

 

 

Northeast Amazon

Figure 4a. Peak carbon area in the tri-border region of the northeast Amazon. Data: Planet, RAISG.

Figure 4a zooms in on the peak carbon area in the tri-border region of the northeast Amazon, which covers 16.8 million hectares in northern Brazil, French Guiana, and Suriname.

Several protected areas (including Montanhas do Tumucumaque National Park in northeast Brazil, Amazonien de Guyane National Park in French Guiana, and Central Suriname Nature Reserve) anchor this area.

It is also home to numerous Indigenous territories (such as Tumucumaque, Rio Paru de Este, and Wayãpi in northeast Brazil).

 

 

 

 

 

 

Figure 4b. Peak carbon areas (outlined in pink), categorized by land designation in northeast Amazon. Data: Planet, NICFI, RAISG.

Figure 4b highlights the major land designations within the peak carbon area of the northeast Amazon.

Protected areas and Indigenous territories cover just over half (51%) of this area (green and brown, respectively).

The remaining 49% could be considered threatened, as they are located in undesignated lands, and are ideal candidates for increased protection.

 

 

 

 

 

 

 

 

 

Notes

1 We selected this value (upper 33%) to capture the highest aboveground carbon areas and include a range of high carbon areas. Additional analyses could target different values, such as the highest 10% or 20% of aboveground carbon.

2  A recent paper documented a strong relationship between selective logging and aboveground carbon loss (Csillik et al. 2024, PNAS). The link between forest edges and carbon is presented in Silva Junior et al, Science Advances.

3 High Integrity Forest (HIFOR) units are a new tradable asset that recognizes and rewards the essential climate services and biodiversity conservation that intact tropical forests provide, including ongoing net removal of CO2 from the atmosphere. For more information see https://www.wcs.org/our-work/climate-change/forests-and-climate-change/hifor

4 For more information, see the “What is Forest Carbon Diligence?” section in this recent blog from Planet.

Citation

Finer M, Mamani N, Anderson C, Rosenthal A (2024) Carbon across the Amazon (part 2): Peak Carbon Areas. MAAP #217.

Acknowledgments

This report was made possible by the generous support of the Norwegian Agency for Development Cooperation (NORAD)

MAAP #219: Illegal mining expansion in the Ecuadorian Amazon (Punino area)

Posted on by dcadmin
Base Map. Mining deforestation in the heart of the Ecuadorian Amazon (Punino area). Data: ARCERNNR 2022, Planet-NICFI, EcoCiencia.

In a series of previous reports, we warned about the emergence and expansion of illegal mining deforestation in the heart of the Ecuadorian Amazon, in the area surrounding the ​​Punino River, located between the provinces of Napo and Orellana (MAAP #182, MAAP #151).

In the most recent report, we informed that this mining impact had reached 1,000 hectares (MAAP #206).

Here, we provide an update on the growing mining activity in and around the Punino River basin during the first half of 2024.

The Base Map shows an increase of 420 hectares in 2024 (indicated in red), bringing the total impact to 1,422 hectares (3,500 acres) since its inception in 2019 (yellow and red combined). This total is equivalent to more than 2,000 professional soccer fields.

The Base Map also shows that the vast majority (90%) of the mining deforestation is located outside the limits of the areas authorized for such activity (according to the mining registry updated to 2022). In other words, the vast majority of mining is likely illegal.

We emphasize that the mining deforestation has rapidly expanded to enter the limits of two protected areas: Sumaco-Napo Galeras National Park and El Chaco Municipal Conservation Area (see Figure 1, below).

In addition, the mining deforestation is actively expanding within the boundaries of Indigenous territories of the Kichwa nationality (see Figure 2, below).

Below we illustrate in more detail the rapid increase in mining deforestation, especially in these protected areas and Indigenous territories.

Mining expansion in the Punino area, 2019-2024

Chart 1 illustrates the steadily increasing mining deforestation in the Punino area over the past 5 years. The impact began in 2019, reaching 1,000 hectares by the end of 2023, and more recently reaching 1,422 hectares in June 2024.

Chart 1. Historical deforestation due to mining in the Punino area between November 2019 and June 2024

Expansion of illegal mining in protected areas

Figure 1 shows the expansion of mining deforestation in and around the two protected areas of the Punino zone. Note that mining has recently penetrated the boundaries of both Sumaco-Napo Galeras National Park (0.32 hectares) and El Chaco Municipal Conservation Area (144 hectares).

Figure 1. Protected areas affected by mining activity between 2019 and 2024 in the Punino area. Data: ARCERNNR 2022, MAATE 2024, NCI 2018, Planet-NICFI, EcoCiencia.

Figure 2 shows the initial encroachment (0.32 hectares) of mining deforestation in the boundaries of Sumaco Napo-Galeras National Park between September 2022 (left panel) and June 2024 (right panel).

Figure 2. Mining deforestation within the boundaries of Sumaco Napo-Galeras National Park, comparing September 2022 (left panel) with June 2024 (right panel). Data: MAATE 2024, Planet/NICFI, EcoCiencia.

Figure 3 shows the invasion and expansion of deforestation due to mining (144 hectares) within the boundaries of El Chaco Municipal Conservation Area between September 2023 (left panel) and June 2024 (right panel).

Figure 3. Mining deforestation within the boundaries of the El Chaco Municipal Conservation Area, comparing September 2023 (left panel) with June 2024 (right panel). Data: NCI 2018, Planet/NICFI, Ecociencia.

Expansion of illegal mining in indigenous territories

Figure 4 shows the expansion of mining deforestation (300 hectares) in relation to the Indigenous territories of the Kichwa nationality in the Punino area.

Figure 4. Indigenous territories affected by mining activity between 2019 and 2024 in the Punino area. Data: RAISG 2023, ARCERNNR 2022, Planet-NICFI, EcoCiencia.

Figure 5 shows the expansion of deforestation due to mining in the indigenous territories of the Kichwa nationality between September 2023 (left panel) and June 2024 (right panel).

Figure 5. Mining deforestation within indigenous territory of the Kichwa nationality, comparing September 2023 (left panel) with June 2024 (right panel). Data: RAISG 2023, Planet-NICFI, EcoCiencia.

Figure 6 shows the expansion of deforestation due to mining in indigenous territories of the Kichwa nationality south of the study area between November 2019 (left panel) and June 2024 (right panel).

Figure 6. Mining deforestation within indigenous territory of the Kichwa nationality, comparing November 2019 (left panel) with June 2024 (right panel). Data: RAISG 2023, Planet-NICFI, EcoCiencia.

 

Annex 1

Annex 1 shows the four watersheds impacted by mining activity: the Punino River basin and also the Sardinas River, Lumucha River and Supayacu River basins, which in turn form part of the Coca River macro-water system.

Annex 1. Water systems impacted by mining activity in the Punino area.

 

Annex 2

Annex 2 shows the construction of 91 kilometers of roads due to mining activity.

Annex 2. Construction of access roads associated with mining activity.

Acknowledgements

This report is part of a series focused on the Ecuadorian Amazon through a strategic collaboration between the EcoCiencia Foundation and Amazon Conservation, with the support of the Norwegian Agency for Development Cooperation (Norad).

MAAP #218: Killing of Environmental Defenders in the Peruvian Amazon

Posted on by dcadmin

 

Peruvian environmental defender Edwin Chota was murdered by illegal loggers in 2014 for attempting to protect his Indigenous community from Exploitation. See Illegal Logging section. Photo: NYT/Tomas Munita.

 

 

 

 

 

 

 

 

 

 

 

 

 

Amazon Conservation’s MAAP program specializes in reporting on the most urgent deforestation threats facing the Amazon and producing big-picture analyses of key Amazon-wide issues.

This report uniquely presents a view into the complicated but critical issue of murders of environmental defenders, examining the relationship between the location of these killings and deforestation in the Peruvian Amazon to provide a better understanding of the context of their deaths.

Between 2010 and 2022, an estimated 29 Peruvian environmentalists and Indigenous leaders were killed while defending various parts of Peru’s Amazon from invaders seeking to exploit its resources (RAISG 2022).

Importantly, the frequency of these murders has increased in recent years, with nearly half (14 out of 29) occurring since 2020.

Our findings indicate that these murders are connected to five major issues in the Peruvian Amazon:
Illegal gold mining, Illegal logging, Illicit crops (coca), Land trafficking, and Protesting.

This report focuses on the first three (Illegal gold mining, Illegal logging, and Illicit crops).

Base Map

Base Map. Location of the 29 environmental defenders murdered in Peru and the suspected causes related to major environmental threats in the region 2010-2022. Sources: IBC, MINJUS, SERNANP, Conservación Amazónica-ACCA.

The Base Map shows the location of the 29 documented environmental defenders killed in Peru between 2010-2022.

It also indicates the environmental threat related to each death as the suspected or confirmed motive for the crime: Illegal Gold Mining, Illegal Logging, Illicit Crops (coca), Land Trafficking, and Protest.

Note that many of the murders occurred in geographic clusters that coincide with the major environmental conflict of that specific area.

For example, gold mining is a major cause of conflict in the southern Peruvian Amazon, while illegal logging and illicit crops are more common threats in the central Peruvian Amazon.

Murders related to Illegal Gold Mining

Illegal gold mining has long been, and continues to be, a major issue in the southern Peruvian Amazon (Madre de Dios region), particularly in Indigenous territories and protected area buffer zones (MAAP#208).

For example, Figure 1 illustrates the extensive gold mining deforestation (indicated in orange) in the Tambopata National Reserve buffer zone and surrounding Indigenous territories.

Figure 1. Three cases of environmental defender deaths related to illegal mining. Sources: IBC, MINJUS, SERNANP, Conservación Amazónica-ACCA.

Since 2015, three environmental defenders have been killed within or near the Tambopata National Reserve buffer zone (see yellow dots in Figure 1). All three cases involved forestry concessionaires trying to defend their concession from illegal mining invasion.

In 2015, Alfredo Vracko Neuenschwander was killed near the critical mining area known as “La Pampa” located in the core of the buffer zone. Note that during the two years prior to his death, more than 1,700 hectares were deforested in La Pampa due to illegal gold mining (MAAP #1). Vracko, who was president of the Madre de Dios Federation of Forestry and Reforestation Concessionaires at the time, is believed to have been killed by illegal miners who were scheduled to be evicted from his forestry concession on the same day. However, his murder remains officially unsolved.

In 2020, Roberto Carlos Pacheco Villanueva was killed just outside the Tambopata buffer zone. Villanueva owned a forestry concession that had been illegally deforested and burned by invaders linked to illegal mining. Having filed legal complaints about the illegal use of his land, Villanueva faced numerous threats against his life in the years leading up to his murder. While still unsolved, it is believed that his murder was committed by the same miners who invaded his concession.

More recently, in 2022, Juan Julio Fernández Hanco was murdered just off the Interoceanic Highway near the edge of the Tambopata buffer zone. During this period (2021-2023), nearly 24,000 hectares were deforested due to gold mining in this area (MAAP #195). The investigation is ongoing, with the suspects being illegal miners who invaded Juan Julio’s reforestation concessions.

Murders related to Illegal Logging

Illegal logging has been a significant problem across the Peruvian Amazon for years. A recent report revealed that over 20% of timber harvested in Peru in 2021 came from illegal origins (OSINFOR, 2024). Loreto, Madre de Dios, Amazonas, and Ucayali were identified as the regions with the highest levels of unauthorized timber extraction.

Figure 2. Four environmental defender deaths related to illegal logging. Sources: IBC, MINJUS, DEVIDA, SERNANP, ACCA.

In 2014, illegal loggers murdered four men from the community of Alto Tamaya-Saweto, in one of the most well-known murder cases of Peruvian environmental defenders. These defenders (Edwin Chota Valera, Francisco Pinedo Ramírez, Jorge Ríos Pérez, and Leoncio Quintisima Meléndez) were killed along the Peru-Brazil border (see orange dots in Figure 2), following a decade of complaints from Chota about the presence of criminal logging groups in their community. Ten years later, in April 2024, a group of loggers were found guilty of the murders and sentenced to nearly 30 years in prison. This case has since been appealed with the expectation of going to Peru’s supreme court.

Murders related to Illicit Crops (Coca)

Official data indicates that the surface area of coca production in Peru continues to increase, particularly in the central Peruvian Amazon along the Andes Mountains (in the regions of Ucayali and Huánuco). Since 2010, ten environmental defenders have been killed in this area related to their fight against coca-related activities (see red dots in Figure 3).

Figure 3. Ten cases of environmental defender deaths related to illegal coca production. Sources: IBC, MINJUS, DEVIDA, SERNANP, Conservación Amazónica-ACCA.

Three environmental defenders (Santiago Vega Chota, Yenes Ríos Bonsano, and Herasmo García Grau) were killed in 2020 and 2021 within or near their communities of Sinchi Roca and Puerto Nuevo in the region of Ucayali, following their attempts to monitor their communities’ territories for coca production. Both communities are located within a coca production zone known as Aguaytía, which experienced a 158% increase in coca cultivation between 2018 and 2022 (DEVIDA 2022).

Between 2010 and 2020, four environmental defenders (Segundo José Reategui, Manuel Tapullima, Justo Gonzales Sangama, and Arbildo Melendez) were murdered in or near the Unipacuyacu Indigenous community. These four deaths have been linked to illegal coca production by outsiders on community lands that have not yet been officially titled by the government, which has facilitated these invasions. Unipacuyacu is located within the Pichis-Palcazu-Pachitea coca production zone spanning the Huánuco and Pasco regions, where coca cultivation increased by more than 450% between 2018 and 2022 (DEVIDA 2022).

Finally, three other environmental defenders (Jesús Berti Antaihua Quispe, Gemerson Pizango Narvaes, and Nusat Parisada Benavides de la Cruz) were killed in 2022 in their communities of Santa Teresa and Cleyton. These two indigenous communities are located within and just outside of the in an area outside of the El Sira Communal Reserve buffer zone. During the four years leading up to their deaths, coca production in El Sira and its buffer zone increased by over 500% (DEVIDA 2022). While unconfirmed, it is believed that these murders were committed by mafias tied to drug trafficking and illegal mining.

Regulatory Basis

Peru ranks among the countries with the highest number of environmental defender deaths worldwide (Global Witness 2023).

Peru’s National Plan for Human Rights 2018-2021, defines an environmental defender as someone who: As an individual or collective, carries out a legitimate activity, paid or not, consisting of demanding and promoting, within the legally permitted framework, in a peaceful and nonviolent manner, the effectiveness of violated rights. Their efforts are usually manifested publicly through demands and raised through regular process channels, conforming with the framework devoted to these fundamental rights.

To address the vulnerability of environmental defenders, the Peruvian government, specifically the Ministry of Justice and Human Rights (MINJUSDH), has developed regulations to ensure their protection. The most important of these are:

Regulation Title Importance
 

Supreme Decree N 002-2018-JUS

  

National Plan for Human Rights 2018-2021

 Establishes that environmental defenders are a group of special protection and requests that the state adopts measures to protect them.
 

Supreme Decree 004-2021-JUS

  

Intersectoral Mechanism for the Protection of Human Rights Defenders

 Establishes the principles, measures, and proceedings to guarantee the prevention, protection, and access to justice for human rights defenders prior to risk situations, being the highest ranking standard in the country.
 

Ministerial Resolution 255-2020-JUS

  

Registry on Risk Situations for Human Rights Defenders

 

 Recognizes, analyzes, and manages information about the risks that human rights defenders face, and adopts actions to prevent threats.

 

Peru has also taken an intersectoral approach by coordinating participation among eight ministries: Ministry of Justice and Human Rights, Ministry of the Interior, Ministry of the Environment, Ministry of Culture, Ministry of Woman and Vulnerable Populations, Ministry of External Relations, Ministry of Energy and Mines, and Ministry of Agriculture and Irrigation Development. A public implementing agency, the National Commission for Development and Life Without Drugs (DEVIDA), also cooperates with this effort.

Despite these efforts, defenders continue to face criminalization, legal harassment, and threats of violence and murder. This shows the urgent need to strengthen their protection and institutional support in Peru.

In response, the Peruvian Congress has recently enacted three new laws to further protect human rights defenders. These include (i) Bill 4686/2022-CR, a law that recognizes and protects defenders of environmental rights, and (ii) Bill 2069/2021-PE, a law for the protection and assistance of communal and/or Indigenous or native leaders at risk. Moving forward, how the ongoing Alto Tamaya-Saweto case proceeds through Peru’s Supreme Court will be crucial to future efforts to protect environmental and human rights defenders.

References

Comisión Nacional Para El Desarrollo y Vida Sin Drogas (DEVIDA). 2023. Perú: Monitoreo de cultivos de coca 2022.

Global Witness 2023. Casi 2.000 personas defensoras de la tierra y el medioambiente asesinadas entre 2012 y 2022 por proteger el planeta.

Organismo de Supervisión de los Recursos Forestales y de Fauna Silvestre (OSINFOR). 2024. Estimación del índice y porcentaje de tala y comercio ilegal de madera en el Perú 2021.

Red Amazónica de Información Socioambiental Georreferenciada (RAISG). 2022. Presiones, amenazas y violencia en la Amazonía peruana.

Acknowledgments

This report was prepared with support from the Instituto de Bien Común (IBC).

Citation

Montoya M, Bonilla A, Novoa S, Tipula P, Salisbury D, Quispe M, Finer M, Folhadella A, Cohen M (2024) Killing of Environmental Defenders in the Peruvian Amazon. MAAP:218.

MAAP #215: Unprecedented Look at Carbon across the Amazon (part 1)

Posted on by dcadmin
Figure 1. Example of Planet Forest Carbon Diligence, focused on southern Peru and adjacent western Brazil.

The Amazon biome has long been one of the world’s largest carbon sinks, helping stabilize the global climate.

Precisely estimating this carbon, however, has been a challenge. Fortunately, new satellite-based technologies are providing major advances, most notably NASA’s GEDI mission (see MAAP #213) and, most recently, Planet Forest Carbon Diligence.1

Here, we focus on the latter, analyzing Planet’s cutting-edge new dataset, featuring a 10-year historical time series (2013 – 2022) with wall-to-wall estimates for aboveground carbon density at 30-meter resolution.

As a result, we can produce high-resolution aboveground carbon maps and estimates for anywhere and everywhere across the vast Amazon (see Figure 1).

Through a generous sharing agreement with Planet, we have been granted access to this data across the entire Amazon biome for the analysis presented in the following three-part series:

  1. Estimate and illustrate total aboveground forest carbon across the Amazon biome in unprecedented detail (see results of this first report, below).
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  2. Highlight which parts of the Amazon are home to the highest aboveground carbon levels, including protected areas and Indigenous territories (see second report, MAAP #217).
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  3. Present emblematic deforestation cases that have resulted in the highest aboveground carbon emissions across the Amazon (see third report, MAAP #220).

Major Results

Carbon across the Amazon

Based on our analysis of Planet Forest Carbon Diligence, we estimate that the Amazon contained 56.8 billion metric tons of aboveground carbon, as of 2022 (see Base Map). Applying a standard root-to-shoot ratio conversion (26%), this estimate increases to 71.5 billion metric tons of above and belowground carbon. This total is equivalent to nearly two years of global carbon dioxide emissions at the peak 2022 level (37.15 billion metric tons).5

The peak carbon levels are largely concentrated in the southwest Amazon (southern Peru and adjacent western Brazil) and northeast Amazon (northeast Brazil, French Guiana, and Suriname).

Base Map. Planet Forest Carbon Diligence across the Amazon biome.

Total Carbon by Country

As shown in Graph 1, countries with the most aboveground carbon are 1) Brazil (57%; 32.1 billion metric tons), 2) Peru (15%; 8.3 billion metric tons), 3) Colombia (7%; 4 billion metric tons), 4) Venezuela (6%; 3.3 billion metric tons), and 5) Bolivia (6%; 3.2 billion metric tons). These countries are followed by Guyana (3%; 2 billion metric tons), Suriname (3%; 1.6 billion metric tons), Ecuador (2%; 1.2 billion metric tons), and French Guiana (2%; 1.1 billion metric tons).

Overall, we documented the total gain of 64.7 million metric tons of aboveground carbon across the Amazon during the ten years between 2013 and 2022.2 In other words, the Amazon is still functioning as a critical carbon sink.

The countries with the most aboveground carbon gain over the past ten years are 1) Brazil, 2) Colombia, 3) Suriname, 4) Guyana, and 5) French Guiana. Note that we show Brazil as a carbon sink (gain of 102.8 million metric tons), despite other recent studies showing it as a carbon source.3 Also note the important gains in aboveground carbon across several key High Forest cover, Low Deforestation (HFLD) countries, namely Colombia, Suriname, Guyana, and French Guiana.4

In contrast, the countries with the most aboveground carbon loss over the past ten years are 1) Bolivia, 2) Venezuela, 3) Peru, and 4) Ecuador.

Graph 1. Planet Forest Carbon Diligence data across the Amazon biome, comparing 2013-14 with 2021-22. Note that a “+” symbol indicates that the country gained aboveground carbon, while a “-“ symbol indicates that the country lost aboveground carbon.

Carbon Density by Country

Standardizing for area, Graph 2 shows that countries with the highest aboveground carbon density (that is, aboveground carbon per hectare as of 2021-22) are located in the northeast Amazon: French Guiana (134 metric tons/hectare), Suriname (122 metric tons/hectare), and Guyana (85 metric tons/hectare). Ecuador is also high (94 metric tons/hectare).

Note that countries in the northeast Amazon (French Guiana, Suriname, and Guyana) have lower total aboveground carbon due to their smaller size (Graph 1), but high aboveground carbon density per hectare (Graph 2). This also applies to Ecuador.

Graph 2. Planet Forest Carbon Diligence data for aboveground carbon density by country across the Amazon, comparing 2013-14 with 2021-22. Note that a “+” symbol indicates that the country gained aboveground carbon, while a “-“ symbol indicates that the country lost aboveground carbon.

Notes & Citations

1 Anderson C (2024) Forest Carbon Diligence: Breaking Down The Validation And Intercomparison Report. https://www.planet.com/pulse/forest-carbon-diligence-breaking-down-the-validation-and-intercomparison-report/

2 In terms of uncertainty, the data contains pixel-level estimates, but not yet at national levels. To minimize annual uncertainty at the country level, we averaged 2013 and 2014 for the baseline and 2021 and 2022 for the current state.

3 Recently, in MAAP #144, we showed Brazil as a carbon source, based on data from 2001 to 2020. In contrast, Planet Forest Carbon Diligence is based on data from 2013 to 2022. Thus, one interpretation of the difference is that most carbon loss occurred in the first decade of the 2000s, which is consistent with historical deforestation data showing peaks in the early 2000s. It also highlights the likely importance of the interplay between forest loss/degradation (carbon loss) and forest regeneration (carbon gain) in terms of whether a country is a carbon source or sink during a given timeframe.

4 HFDL, or “High Forest cover, Low Deforestation” describes countries with both a) high forest cover (>50%) and low deforestation rates (<0.22% per year). For more information on HFDL, see https://www.conservation.org/blog/what-on-earth-is-hfld-hint-its-about-forests

5 Annual carbon dioxide (CO₂) emissions worldwide from 1940 to 2023

Citation

Finer M, Mamani N, Anderson C, Rosenthal A (2024) Unprecedented Look at Carbon across the Amazon. MAAP  #215.

Acknowledgments

This report was made possible by the generous support of the Norwegian Agency for Development Cooperation (NORAD)

 

MAAP #214: Agriculture in the Amazon: New data reveals key patterns of crops & cattle pasture

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Figure 1. Agricultural and pasture data in a section of the Brazilian Amazon.

A burst of new data and online visualization tools are revealing key land use patterns across the Amazon, particularly regarding the critical topic of agriculture. This type of data is particularly important because agriculture is the leading cause of overall Amazonian deforestation.

These new datasets include:

  • Crops. The International Food Policy Research Institute (IFPRI), a leading agriculture and food systems research authority, recently launched the latest version of their innovative crop monitoring product, the Spatial Production Allocation Model (SPAM).1 This latest version, developed with support from WRI’s Land & Carbon Lab, features spatial data for 46 crops, including soybean, oil palm, coffee, and cocoa. This data is mapped at 10-kilometer resolution across the Amazon and updated through 2020.2
    j
  • Cattle pasture. The Atlas of Pastures,3 developed by the Federal University of Goiás, facilitates access to data regarding Brazilian cattle pastures generated by MapBiomas. This data is mapped at 30-kilometer resolution and updated through 2022. We use Collection 5 from Mapbiomas for the rest of the Amazonian countries.4
    j
  • Gold mining. New mining data is included for additional context. Amazon Mining Watch uses machine learning to map open-pit gold mining.5 This data is mapped at 10-kilometer resolution across the Amazon and updated through 2023.

We merged and analyzed these new datasets to provide our first overall estimate of Amazonian land use, the most detailed effort to date across all nine countries of the biome. Figure 1 shows an example of this merged data in a section of the Brazilian Amazon.

Below, we present and illustrate the following major findings across the Amazon, and then zoom in on several regions across the Amazon to show the data in greater detail.

Major Findings

The Base Map illustrates several major findings detailed below.

Base Map. Overview of the merged datasets noted above for crops, pasture, and gold mining. Double-click to enlarge. Data: IFRI/SPAM, Lapig/UFG, Mapbiomas, AMW, ACA/MAAP.

1) Crops
We found that 40 crops in the SPAM dataset overlap with the Amazon, covering over 106 million hectares (13% of the Amazon biome).

Soybean covers over 67.5 million hectares, mostly in southern Brazil and Bolivia. Maize covers slightly more area (70 million hectares) but we consider this a secondary rotational crop with soy (thus, there is considerable overlap between these two crops).

Oil palm covers nearly 8 million hectares, concentrated in eastern Brazil, central Peru, northern Ecuador, and northern Colombia.

In the Andean Amazon zones of Peru, Ecuador, and Colombia, cocoa covers over 8 million hectares and the two types of coffee (Arabica and Robusta) cover 6.7 million hectares.

Other major crops across the Amazon include rice (13.8 million hectares), sorghum (10.9 million hectares), cassava (9.8 million hectares), sugarcane (9.6 million hectares), and wheat (5.8 million hectares).

2) Cattle Pasture
Cattle Pasture covers 76.3 million hectares (9% of the Amazon biome). The vast majority (92%) of the pasture is in Brazil, followed by Colombia and Bolivia.

3) Crops & Cattle Pasture
Overall, accounting for overlaps between the data, we estimate that crops and pasture combined cover 115.8 million hectares. This total is the equivalent of 19% of the Amazon biome.

In comparison, open-pit gold mining covered 1.9 million hectares (0.23% of the Amazon biome).

Zooms across the Amazon

Eastern Brazilian Amazon

Figure 2 shows the transition from the soy frontier to the cattle pasture frontier in the eastern Brazilian Amazon. Also note a mix of other crops, such as oil palm, sugarcane, and cassava, and some gold mining.

Figure 2. Eastern Brazilian Amazon. Data: IFRI/SPAM, Lapig/UFG, Mapbiomas, AMW, ACA/MAAP.

Andean Amazon (Peru and Ecuador)

Figure 3. Andean Amazon. Data: IFRI/SPAM, Lapig/UFG, Mapbiomas, AMW, ACA/MAAP.

The land use patterns are quite different in the Andean Amazon regions of Peru and Ecuador.

Figure 3 shows, that instead of soy and cattle pasture, there is instead oil palm, rice, coffee, and cocoa.

Also note the extension of the cattle pasture frontier in the western Brazilian Amazon, towards Peru and Bolivia.

 

 

 

 

 

 

 

 

 

 

 

 

Northeast Amazon (Venezuela, Guyana, Suriname, French Guiana)

Figure 4 shows the general lack of crops in the core Amazon regions Guyana, Suriname, and French Guiana, which is surely a major factor they are all considered High Forest cover, Low Deforestation countries (HFLD). In contrast, note there is abundant gold mining activity throughout this region.

Figure 4. Northeastern Amazon. Data: IFRI/SPAM, Lapig/UFG, Mapbiomas, AMW, ACA/MAAP.

Methods

For the SPAM data, we used the physical area, which is measured in a hectare and represents the actual area where a crop is grown (not counting how often production was harvested from it). We only considered values ​​greater than or equal to 100 ha per pixel.

For the Base Map, due to their importance as primary economic crops, we layered soybean and oil palm as the top two layers, respectively. From there, crops were layered in order of their total physical area across the Amazon. Thus, the full extensions of some crops are not shown if they overlap pixels with other crops that have greater physical area. For overlaps with crops and pasture, we favored the crops.

Notes & Data Sources

1 International Food Policy Research Institute (IFPRI), 2024, “Global Spatially-Disaggregated Crop Production Statistics Data for 2020 Version 1.0” https://doi.org/10.7910/DVN/SWPENT, Harvard Dataverse, V1

Spatial Production Allocation Model (SPAM)
SPAM 2020 v1.0 Global data (Updated 2024-04-16)

2 Note that the spatial resolution is rather low (10-kilometers) so all crop coverage data above should be interpreted as referential only.

3 The Atlas of Pastures (Atlas das Pastagens), open to the public, was developed by the Image Processing and Geoprocessing Laboratory of the Federal University of Goiás (Lapig/UFG), to facilitate access to results and products generated within the MapBiomas initiative, regarding Brazilian pastures.

https://atlasdaspastagens.ufg.br/

4 MapBiomas Collection 5;  https://amazonia.mapbiomas.org/en/

5 See MAAP #212 for more information on Amazon Mining Watch.

Citation

Finer M, Ariñez A (2024) Agriculture in the Amazon: New data reveals key patterns of crops & cattle pasture. MAAP: 214.

MAAP #213: Estimating Carbon in Amazon Protected Areas & Indigenous Territories

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Intro Image. Screenshot of OBI-WAN forest carbon reporting app.

In a recent report (MAAP #199), we presented the updated version of NASA’s GEDI data,1 which uses lasers aboard the International Space Station to provide cutting-edge estimates of aboveground carbon globally, including our focal area, the Amazon.

These lasers, however, have not yet achieved full coverage, leaving considerable gaps in the data and resulting maps.

Here, we feature two new tools that allow us to fill in these gaps and provide detailed wall-to-wall estimates of aboveground biomass for specific areas, which can then be converted to aboveground carbon estimates.

The first is the OBI-WAN forest carbon reporting app (see Intro Image), which uses statistical inference to produce mean, total, and uncertainty estimates for biomass baselines at any given scale (from local to worldwide).2

The second is a fused product from GEDI and TanDEM-X missions.3 The combination of lidar (GEDI) and radar (TanDEM-X) has started to produce unmatched maps that combine the ability of lidar to retrieve forest structure and the ability of radar to offer wall-to-wall coverage at multiple resolutions (see Figures 1-5 below for examples at 25m resolution).

Employing these two tools, we focus on estimating aboveground carbon for select examples of two critical land designations in the Amazon: protected areas and indigenous territories. Both are critical to the long-term conservation of the core Amazon (MAAP #183). We hope that providing precise carbon data will provide additional incentives for their long-term conservation.

We select 5 focal areas (3 National Parks and 2 Indigenous Territories; see list below) across the Amazon to demonstrate the power of these datasets. Together, these five areas are currently home to over 1.4 billion metric tons of aboveground carbon.

  • Protected Areas (National Parks)
    Chirbiquete National Park (Colombian Amazon)
    Manu National Park (Peruvian Amazon)
    Madidi National Park (Bolivian Amazon)
    k
  • Indigenous Territories
    Kayapó Indigenous Territory (Brazilian Amazon)
    Barranco Chico Indigenous Territory (Peruvian Amazon)

Focal Areas

As noted above, the aboveground carbon estimates below are based on the aboveground biomass estimates from the OBI-WAN forest carbon reporting app and GEDI-TanDEM-X data. Figures 1 – 5 are based on GEDI-TanDEM-X, at 25 meter resolution.

National Parks

Chirbiquete National Park (Colombian Amazon)

Chirbiquete National Park covers over 4.2 million hectares in the heart of the Colombian Amazon (Guaviare and Caqueta departments). Both datasets converge in the estimate of around 600 metric tons of aboveground biomass, equating to over 300 million metric tons of aboveground carbon across the park (80.5 tons of carbon per hectare). Figure 1 shows the detailed spatial distribution of this biomass across Chirbiquete National Park. Note that the GEDI-TanDEM-X data misses the western tip of the park.

Figure 1. Aboveground biomass across Chiribiquete National Park (Colombian Amazon). Data: GEDI-TanDEM-X

 

Manu National Park (Peruvian Amazon)

Figure 2. Aboveground biomass across Manu National Park (Peruvian Amazon). Data: GEDI-TanDEM-X

Manu National Park covers over 1.7 million hectares in the southern Peruvian Amazon (Madre de Dios and Cusco regions).

Both datasets converge in the estimate of over 450 metric tons of aboveground biomass, equating to over 215 million metric tons of aboveground carbon across the territory (126.8 tons of carbon per hectare).

Figure 2 shows the detailed spatial distribution of this biomass across Manu National Park.

 

 

 

 

 

 

 

 

 

 

 

Madidi National Park (Bolivian Amazon)

Figure 3. Aboveground biomass across Madidi National Park (Bolivian Amazon). Data: GEDI-TanDEM-X

Madidi National Park and Integrated Management Area covers over 1.8 million hectares in the western Bolivian Amazon (La Paz department).

Both datasets converge in the estimate of over 350 metric tons of aboveground biomass, equating to over 160 million metric tons of aboveground carbon across the park (85.3 tons of carbon per hectare).

Figure 3 shows the detailed spatial distribution of this biomass across Madidi National Park. Note that the GEDI-TanDEM-X data misses the southern tip of the park.

 

 

 

 

 

 

 

 

 

 

Indigenous Territories

Kayapó Indigenous Territory (Brazilian Amazon)

Kayapó Indigenous Territory covers over 3.2 million hectares in the eastern Brazilian Amazon (Pará state). Both datasets converge in the estimate of over 413,000 metric tons of aboveground biomass, equating to over 198 million metric tons of aboveground carbon across the territory. Figure 4 shows the detailed spatial distribution of this biomass across Kayapó and four neighboring Indigenous Territories. Totaling across these five territories (10.4 million hectares), the data sets converge on over 1.5 billion metric tons of aboveground biomass, and 730 million metric tons of aboveground carbon (70 tons per hectare).

Figure 4. Aboveground biomass across Kayapó and neighboring Indigenous Territories (Brazilian Amazon). Data: GEDI-TanDEM-X

Barranco Chico Indigenous Territory (Peruvian Amazon)

Barranco Chico Indigenous Territory covers over 12,600 hectares in the southern Peruvian Amazon (Madre de Dios region). Both datasets converge in the estimate of over 2 million metric tons of aboveground biomass, equating to over 1 million metric tons of aboveground carbon. Figure 5 shows the detailed spatial distribution of this biomass across Barranco Chico and two neighboring Indigenous Territories (Puerto Luz and San Jose de Karene). Totaling across these three territories (nearly 90,000 hectares), the data sets converge on over 19 million metric tons of aboveground biomass, and over 9 million metric tons of aboveground carbon (102 tons per hectare).

Figure 5. Aboveground biomass across Barranco Chico and neighboring Indigenous Territories (Peruvian Amazon). Data: GEDI-TanDEM-X

Notes

1 GEDI L4B Gridded Aboveground Biomass Density, Version 2.1. This data is measured in megagrams of aboveground biomass per hectare (Mg/ha) at a 1-kilometer resolution, with the period of April 2019 – March 2023. This serves as our estimate for aboveground carbon reserves, with the science-based assumption that 48% of recorded biomass is carbon.

2 The approach relies on the foundational paper from Patterson et al., (2019) and it is used by the GEDI mission to estimate mean and total biomass worldwide (Dubayh et al., 2022, Armston et al., 2023). The method considers the spatial distribution of GEDI tracks within a given user-specify boundary to infer the sampling error component of the total uncertainty that also includes the error from the GEDI L4A models used to predict biomass from canopy height estimates (Keller et al., 2022). For more information on the OBI-WAN app, see Healey and Yang 2022.

3 GEDI-TanDEM-X (GTDX) is a fusion of GEDI Version 2 and TanDEM-X (TDX) Interferometric Synthetic Aperture Radar (InSAR) images (from Jan 2011 to December 2020). It also incorporates annual forest loss data to account for deforestation during this time. The GTDX aboveground biomass maps were produced based on a generalized hierarchical model-based (GHMB) framework that utilizes GEDI biomass as training data to establish models for estimating biomass based on the GTDX canopy height. The combination of lidar (GEDI) and radar (TanDEM-X) has started to produce unmatched maps that combine the ability of lidar to retrieve forest structure and the ability of radar to offer wall-to-wall coverage (Qi et al.,2023, Dubayah et a;., 2023). This fused product is a wall-to-wall gap-free map that was produced at multiple resolutions: 25m, 100m and 1ha. Ongoing processing over the Pantropic region will be made available over the next months but some geographies have been already mapped such as most of the Amazon Basin (Dubayah et al., 2023). The data we used is publicly available.

References

Armston, J., Dubayah, R. O., Healey, S. P., Yang, Z., Patterson, P. L., Saarela, S., Stahl, G., Duncanson, L., Kellner, J. R., Pascual, A., & Bruening, J. (2023). Global Ecosystem Dynamics Investigation (GEDI)GEDI L4B Country-level Summaries of Aboveground Biomass [CSV]. 0 MB. https://doi.org/10.3334/ORNLDAAC/2321

Dubayah, R. O., Armston, J., Healey, S. P., Yang, Z., Patterson, P. L., Saarela, S., Stahl, G., Duncanson, L., Kellner, J. R., Bruening, J., & Pascual, A. (2023). Global Ecosystem Dynamics Investigation (GEDI)GEDI L4B Gridded Aboveground Biomass Density, Version 2.1 [COG]. 0 MB. https://doi.org/10.3334/ORNLDAAC/2299

Dubayah, R., Armston, J., Healey, S. P., Bruening, J. M., Patterson, P. L., Kellner, J. R., Duncanson, L., Saarela, S., Ståhl, G., Yang, Z., Tang, H., Blair, J. B., Fatoyinbo, L., Goetz, S., Hancock, S., Hansen, M., Hofton, M., Hurtt, G., & Luthcke, S. (2022). GEDI launches a new era of biomass inference from space. Environmental Research Letters, 17(9), 095001. https://doi.org/10.1088/1748-9326/ac8694

Dubayah, R., Blair, J. B., Goetz, S., Fatoyinbo, L., Hansen, M., Healey, S., Hofton, M., Hurtt, G., Kellner, J., Luthcke, S., Armston, J., Tang, H., Duncanson, L., Hancock, S., Jantz, P., Marselis, S., Patterson, P. L., Qi, W., & Silva, C. (2020). The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography. Science of Remote Sensing, 1, 100002. https://doi.org/10.1016/j.srs.2020.100002

Healey S, Yang Z (2022) The OBIWAN App: Estimating Property-Level Carbon Storage Using NASA’s GEDI Lidar. https://www.fs.usda.gov/research/rmrs/understory/obiwan-app-estimating-property-level-carbon-storage-using-nasas-gedi-lidar

Kellner, J. R., Armston, J., & Duncanson, L. (2022). Algorithm Theoretical Basis Document for GEDI Footprint Aboveground Biomass Density. Earth and Space Science, 10(4), e2022EA002516. https://doi.org/10.1029/2022EA002516

Dubayah, R.O., W. Qi, J. Armston, T. Fatoyinbo, K. Papathanassiou, M. Pardini, A. Stovall, C. Choi, and V. Cazcarra-Bes. 2023. Pantropical Forest Height and Biomass from GEDI and TanDEM-X Data Fusion. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2298

Qi, W., J. Armston, C. Choi, A. Stovall, S. Saarela, M. Pardini, L. Fatoyinbo, K. Papathanasiou, and R. Dubayah. 2023. Mapping large-scale pantropical forest canopy height by integrating GEDI lidar and TanDEM-X InSAR data. Research Square. https://doi.org/10.21203/rs.3.rs-3306982/v1

Krieger, G., M. Zink, M. Bachmann, B. Bräutigam, D. Schulze, M. Martone, P. Rizzoli, U. Steinbrecher, J. Walter Antony, F. De Zan, I. Hajnsek, K. Papathanassiou, F. Kugler, M. Rodriguez Cassola, M. Younis, S. Baumgartner, P. López-Dekker, P. Prats, and A. Moreira. 2013. TanDEM-X: A radar interferometer with two formation-flying satellites. Acta Astronautica 89:83–98. https://doi.org/10.1016/j.actaastro.2013.03.008

Acknowledgments

We greatly thank the University of Maryland’s GEDI team for data access and reviewing this report. In particular, we thank Ralph Dubayah, Matheus Nunes, and Sean Healey.

This report was made possible by the generous support of the Norwegian Agency for Development Cooperation (NORAD)

Citation

Mamani N, Pascual A, Finer M (2024) Estimating Carbon in Amazon Protected Areas & Indigenous Territories. MAAP: 213

MAAP #212: Machine learning to detect mining deforestation across the Amazon

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Amazon Mining Watch. Screen shot of the interactive mining deforestation map, displaying data for 2023.

Gold Mining is one of the major deforestation drivers across the Amazon.*

It often targets remote areas, thus impacting carbon-rich primary forests. Moreover, in most cases, this mining is illegal, given that it is occurring in protected areas and indigenous territories.

Given the vastness of the Amazon, however, it has been a challenge to accurately monitor mining deforestation across the entire biome in a timely manner.

Here we present, for the first time, the results of a new machine learning based tool (known as Amazon Mining Watch)  that analyzes satellite imagery archives to detect mining deforestation across the entire Amazon.

Specifically, the tool produces 10-meter resolution mining deforestation alerts based on the European Space Agency’s Sentinel-2 satellite imagery. The alerts currently cover each year annually from 2018 to 2023.

This data reveals that gold mining is actively causing deforestation in all nine countries of the Amazon Biome (see Base Map below). The countries with the most overall mining deforestation are 1) Brazil, 2) Guyana, 3) Suriname, 4) Venezuela, and 5) Peru.

*Note that in this report we focus on mining activity that is causing deforestation. Additional critical gold mining areas in rivers (such as in northern Peru, southeast Colombia, and northwest Brazil; see MAAP #197), are not included in this report or detected/displayed in Amazon Mining Watch.

Major Findings

The Base Map below presents the mining deforestation data across the entire Amazon. Note that yellow indicates the historical mining footprint as of 2018, while red indicates the more recent mining deforestation between 2019 and 2023.

Although the alerts are pixels and not designed for precise area measurements, they can be used to give general estimates. For example, we estimate that as of 2018, there was a historical mining deforestation footprint of over 963,000 hectares across the entire Amazon. Between 2019 and 2023, we estimate that the mining deforestation footprint grew by over 944,000 hectares (2.3 million acres).

Thus, of the total accumulated mining deforestation footprint of over 1.9 million hectares (4.7 million acres), about half has occurred in just the past five years (see Annex).

In addition, we estimate that 38% (725,498 hectares) of the total mining deforestation occurred within protected areas and Indigenous territories.

Graph 1 shows, of the total accumulated mining, over half has occurred in Brazil (55%, covering over 1 million hectares), followed by Guyana (15%), Suriname (12%), Venezuela (7%), and Peru (7%, covering 135,625 hectares).

Base Map. Mining deforestation across the Amazon, based on data from Amazon Mining Watch, for the years 2018-2023. Data: AMW, ACA/MAAP.
Graph 1. Mining deforestation across the Amazon, by country. Data: AMW, ACA/MAAP.

Case Studies

In this section, we show a number of case studies highlighting the power of this data to see the evolution of mining deforestation in the following critical areas (see Insets A-E on Base Map). In these examples, note that yellow indicates the historical mining footprint as of 2018, purple indicates the expansion from 2019-2021, and red indicates the more recent mining deforestation between 2022 and 2023.

A. Southern Peruvian Amazon
B. Brazilian Amazon – Yanomami Indigenous Territory
C. Brazilian Amazon – Kayapó Indigenous Territory
D. Venezuelan Amazon – Yapacana National Park
E. Ecuadorian Amazon – Punino zone

A. Southern Peruvian Amazon

In southern Peru is one of the largest, and likely most emblematic, mining sites in the Amazon (see Inset A in Base Map). Figure 1 shows the dynamic evolution in this area, from several large core mining zones as of 2018, with more recent concentration in the designated Mining Corridor (large area where small-scale mining is permitted by the government as part of a formalization process).

Overall, we recorded over 135,000 hectares (333,590 acres) of mining deforestation in this area. Of this total, 62% (84,000 ha) was present as of 2018, while 38% (51,000 ha) has occurred in just the past five years (2019-2023).

We also highlight that of the total mining deforestation (135,000 ha), 59% has occurred within the Mining Corridor, while 41% (55,000 hectares) is outside the corridor and likely illegal. Note how mining deforestation threatens several protected areas, especially Tambopata National Reserve and Amarakaeri Communal Reserve.

See MAAP #208 for more information about mining deforestation at this site, and how illegal mining also threatens Native Communities.

Figure 1. Evolution of mining deforestation in the southern Peruvian Amazon. Data: AMW, ACA/MAAP.

B. Brazilian Amazon – Yanomami Indigenous Territory

In the northern Brazilian Amazon, the national government recently launched a series of raids against illegal gold mining in Yanomami Indigenous Territory (see Inset B in Base Map). Figure 2 shows a major escalation and expansion of gold mining deforestation since 2018, especially along the Uraricoera and Mucajai Rivers.

Specifically, we documented the total mining deforestation of over 19,000 hectares (47,000 acres) in Yanomami Indigenous Territory. It is critical to emphasize that the vast majority (93%) has occurred in just the past five years (2019-2023).

See MAAP #181 for more information about mining deforestation at this site.

Figure 2. Evolution of mining deforestation in Yanomami Indigenous Territory in Brazil. Data: AMW, ACA/MAAP.

C. Brazilian Amazon – Kayapó Indigenous Territory

In the eastern Brazilian Amazon, the Kayapó Indigenous Territory is also facing ongoing illegal mining (see Inset C in Base Map). Figure 3 shows the continuing expansion of mining deforestation, mostly in the eastern section of the territory.

We documented the total mining deforestation of nearly 50,000 hectares (123,550 acres) in Kayapó Indigenous Territory. Of this total, 60% (30,000 has) has occurred in just the past five years (2019-2023).

See MAAP #116 for more information about mining deforestation at this site, along with nearby Munduruku Indigenous Territory.

Figure 3. Evolution of mining deforestation in Kayapo Indigenous Territory in Brazil. Data: AMW, ACA/MAAP.

D. Venezuelan Amazon – Yapacana National Park

In Venezuela, we see the continued expansion of mining deforestation in Yapacana National Park (see Inset D in Base Map). Indeed, Figure 4 shows the steady expansion of gold mining deforestation at several sites in the southern section of the protected area.

We documented the total mining deforestation of over 6,000 hectares (14,800 acres) in Yapacana National Park. Of this total, just over half (52%; 3,000 has) has occurred in just the past five years (2019-2023).

See MAAP #173 and MAAP #207 for more information about mining deforestation at this site.

Figure 4. Evolution of mining deforestation in Yapacana National Park in Venezuela. Data: AMW, ACA/MAAP.

E. Ecuadorian Amazon – Punino River

In a series of reports, we have been showing the rapid increase in mining deforestation in the Ecuadorian Amazon (see MAAP #182). One of the main sites is around the Punino River in northern Ecuador (see Inset E in Base Map). Figure 5 shows the sudden emergence of gold mining deforestation near the river.

We documented the total mining deforestation of over 500 hectares (1,235 acres) in the Punino River area. Of this total, 100% is new, all starting in 2023.

See MAAP #206 for more information about mining deforestation at this site.

Figure 5. Evolution of mining deforestation in along the Punino River in Ecuador. Data: AMW, ACA/MAAP.

Annex

As noted above, of the total accumulated mining deforestation footprint of over 1.9 million hectares (4.7 million acres), about half has occurred in just the past five years.

Methods

All data for this report were obtained from Amazon Mining Watch. We only utilized patches with greater than 0.6 mean score. We used the 2018 data as our baseline. For 2019, we masked the previously reported 2018 data to only highlight the new mining that year. We then repeated this process for each subsequent year. For example, the 2023 data masked the 2018-2022 data, indicating only new mining deforestation that year.

Citation

Finer M, Ariñez A (2024) Machine learning to detect mining deforestation across the Amazon. MAAP: #212.

MAAP #196: Mining Impacts Calculator: Analysis in 3 Indigenous Communities of the Southern Peruvian Amazon

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Website of the Gold Mining Impact Calculator developed by CSF.

Illegal gold mining has generated massive deforestation in the southern Peruvian Amazon (MAAP #208). This activity also affects several of the main rivers (such as the Madre de Dios, Inambari, Tambopata, Malinowski and Colorado), and also their tributaries and secondary bodies of water. All of them are contaminated by excess sediment and the presence of toxic substances such as mercury and arsenic, which are dumped during the mineral extraction process.

Thus, illegal mining activity generates large economic losses due to the direct impact on ecosystem services and other more sustainable economic activities.

Quantifying these impacts in monetary terms has been a challenge for national authorities lacking adequate instruments capable of establishing economic values of the impact generated by illegal mining activity in the Amazon. In this context, in 2021 the Mining Impacts Calculator was presented, a digital economic valuation tool developed by the organization Conservation Strategy Fund (CSF). This tool allows users to calculate the social and environmental impact of illegal gold mining in the Amazon1, in order to improve decision-making, and establish changes and/or improvements in the regulatory framework around this activity.

This report shows the results of the application of the Calculator in recent (2022 and 2023) illegal mining areas within 3 native communities, all located in the buffer zone of the Amarakaeri Communal Reserve in southern Peru. This is an effort to show from a comprehensive perspective (economic and environmental) the implications of deforestation due to illegal mining in the Peruvian Amazon.

The economic calculations of the socio-environmental impacts were carried out using the Gold Mining Impact Calculator. The results show that from the beginning of 2022 to August 2023, there was a total economic loss amounting to 593 million dollars ($593,786,943) for the socio-environmental impacts, generated by deforestation, sedimentation and contamination of rivers by mercury in three indigenous communities of Madre de Dios. The details about the data that was entered into this tool to obtain the results mentioned in the report are explained in the methodology section.

Base Map

The Base Map shows the location of the case studies of this report, which is focused on quantifying the impact of illegal mining, through economic valuation, in 3 native communities in the buffer zone of the Amarakaeri Communal Reserve: San José de Karene, Puerto Luz, and Barranco Chico, all located in the province of Manu, department of Madre de Dios. Additionally, on the map, you can see historical, recent, and current deforestation.

Base Map. Location of the 3 native communities of the Amarakaeri Communal Reserve that are part of the study. Data: ACA/ACCA.

Impact in the San José de Karene Native Community

The native community of San José de Karene has lost 914 hectares from 2022 to August 2023 (See Map 2). In 2022, they lost 312 hectares and so far in 2023, until the month of August, 602 new hectares have been lost. It should be noted that the community currently has mining rights that overlap with its communal territory. When applying the Gold Mining Impact Calculator, it can be seen that the total socio-environmental impacts for 2022 were 86 million dollars ($86,258,492). On the other hand, so far in 2023, this figure increased significantly, reaching 166 million dollars ($166,657,897), as can be seen in Figure 1.

Map 2. Location of areas deforested by illegal mining in the San José de Karene native community (for 2022 and 2023, until August). Data: ACA.
Figure 1. Results of the Gold Mining Impact Calculator in the San José de Karene native community for the year 2022 and 2023 (until August). Source: Screenshot of the Gold Mining Impact Calculator.

Impact in the Puerto Luz Native Community

The native community of Puerto Luz has lost 270.6 hectares between 2022 and August 2023 (See Map 3). In 2022, they lost 100 hectares and so far from 2023 until the month of August they have lost 170.6 new hectares. The community currently has mining rights that overlap with its communal territory. Applying the tool, it is estimated that the total socio-environmental impacts for 2022 were 24 million dollars ($24,947,385), while so far in 2023 it was 44 million dollars ($44,205,548).

Map 3. Location of areas deforested by illegal mining in the Puerto Luz native community (for 2022 and 2023, until August). Data: ACA.

Figure 2. Results of the Calculator at the Puerto Luz native community for the year 2022 and the year 2023 (until August). Source: Screenshot of the Gold Mining Impact Calculator.

Impact in the Barranco Chico Native Community

The native community of Barranco Chico has lost 1093.3 hectares from 2022 to August 2023 (See Map 4). In 2022, they lost 277.3 hectares and so far from 2023 until the month of August they have lost 816 new hectares. The community currently has mining rights that overlap with its communal territory. Applying the Gold Mining Impact Calculator, it is observed that the total socio-environmental impacts for 2022 were 75 million dollars ($75,347,270), while so far in 2023 (August) it was 196 million dollars ( $196,370,351).

Map 4. Location of areas deforested by illegal mining in the native community Barranco Chico, Data: ACA.
Figure 3. Results of the Calculator for the Barranco Chico native community for the year 2022 and the year 2023 (until August). Source: Screenshot of the Gold Mining Impact Calculator.

Metodology

See the Spanish version of this report for full methodology and notes. The inputs to the calculator were as follows:

Acknowledgments

This report was prepared with the technical support of USAID through the Prevent Project. Prevent (Proyecto Prevenir in Spanish) works with the Government of Peru, civil society, and the private sector to prevent and combat environmental crimes for the conservation of the Peruvian Amazon, particularly in the regions of Loreto, Madre de Dios, and Ucayali.

Disclaimer: This publication is made possible by the generous support of the American people through USAID. The contents are the sole responsibility of the authors and do not necessarily reflect the views of USAID or the United States Government.

The CSF Gold Mining Impact Calculator is a tool based on scientific evidence. While CSF provides peer-validated information, it is not responsible for the consequences of using the calculator.

Citation

Mamani N, Huamán B, Novoa S, Morillo A, Torres M, Silva C, Finer M (2024) Gold Mining Impact Calculator: Analysis in 3 Indigenous Communities of the Southern Peruvian Amazon. MAAP: 196.