Mining and Logging Threat: Gold Mining

MAAP #98: Deforestation Hotspots in the Peruvian Amazon, 2018

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Base Map. 2018 Deforestación Hotspots. Data: PNCB/MINAM, SERNANP

Thanks to early warning forest loss alerts,* we are able to make an initial assessment of the 2018 deforestation hotspots in the Peruvian Amazon.

The Base Map highlights the medium (yellow) to high (red) hotspots. In this context, hotspots are the areas with the highest density of forest loss alerts.

Note that the most intense hotspots are concentrated in the southern Peruvian Amazon, particularly the Madre de Dios region. In previous years, intense hotspots were also concentrated in the central Peruvian Amazon.

Next, we focus on 5 hotspots of interest (Zooms A-E).

A. La Pampa (Madre de Dios)
B. Bahuaja Sonene National Park (surroundings) (Madre de Dios, Puno)
C. Iberia (Madre de Dios)
D. Organized Deforestation (Ucayali, Loreto)
E. Central Amazon (Ucayali, Huánuco)

*The data presented in this report is an estimate based on early warning data generated by the National Program of Forest Conservation for the Mitigation of Climate Change of the Ministry of the Environment of Peru (PNCB/MINAM). We also analyzed University of Maryland GLAD alerts, obtained from Global Forest Watch.

 

 

 

 

A. La Pampa (Madre de Dios)

Zoom A shows two important cases in the southern Peruvian Amazon (Madre de Dios region). First, gold mining deforestation south of the Interoceanic Highway in the area known as La Pampa. It is important to emphasize that the Peruvian government just started “Operation Mercury 2019” (Operación Mercurio 2019), a multi-sectoral and comprehensive mega-operation aimed at eradicating illegal mining and associated crime in La Pampa, as well as promote development in the region. Second, deforestation due to agricultural activity north of the highway. As in all the zoom maps below, pink indicates forest loss in 2018.

Zoom A. La Pampa. Data: PNCB/MINAM, SERNANP, ACCA, ESA

B. Bahuaja Sonene National Park (surroundings) (Madre de Dios, Puno)

Zoom B also shows two important cases in the southern Peruvian Amazon (regions of Madre de Dios and Puno), surrounding Bahuaja Sonone National Park. First, to the north of the park, is gold mining deforestation along the upper Malinowski River. The Peruvian protected areas agency (SERNANP) points out that they have limited the deforestation south of the river (direction towards the national park) due to their intensified patrols on that side. Second, to the south of the park, is non-mining (partly agricultural) deforestation.

Zoom B. Bahuaja Sonene (surroundings). Data: PNCB/MINAM, SERNANP, Planet

C. Iberia (Madre de Dios)

Zoom C takes us to the other side of Madre de Dios, around the town of Iberia, near the border with Brazil and Bolivia. This area is experiencing extensive deforestation due to agricultural activity. There most intense deforestation is just of Iberia, where a religious community of farmers (Arca Pacahuara) is reportedly establishing large corn plantations (References 1-2). Much of the 2018 (and 2017) deforestation is occurring within forest concessions, where agriculture is not permitted.

Zoom C. Iberia. Data: PNCB/MINAM, SERNANP, Planet

D. Organized Deforestation (Ucayali, Loreto)

In 2018 we documented two similar cases in the central Peruvian Amazon. Both have similar forms of organized deforestation, characterized by what seems to be agricultural plots arranged along new access roads. Zoom D shows the Masisea case (left panel, zoom D1) and the Sarayaku case (right panel, zoom D2). See MAAP #92 for more information.

Zoom D. Organized deforestation. Data: PNCB/MINAM, SERNANP, ESA

E. Central Amazon (Ucayali, Huánuco)

As in previous years, there was extensive deforestation in the central Peruvian Amazon (Ucayali and Huánuco regions). Zoom E shows an example: small and medium-scale deforestation surrounding a pair of large-scale oil palm plantations. Some of the recent deforestation is occurring within “Permanent Production Forests,” forestry-zoned areas where agriculture is not permitted. This area also corresponds to the proposed territorial title of the indigenous Shipibo community of Santa Clara de Uchunya (see here for more information).

Zoom E. Central Amazon. Data: PNCB/MINAM, SERNANP, ESA

Methodology

We conducted this analysis using the Kernel Density tool from Spatial Analyst Tool Box of ArcGIS, using the following parameters:

Search Radius: 15000 layer units (meters)
Kernel Density Function: Quartic kernel function
Cell Size in the map: 200 x 200 meters (4 hectares)
Everything else was left to the default setting.

The data presented in this report is an estimate based on early warning data generated by the National Program of Forest Conservation for the Mitigation of Climate Change of the Ministry of the Environment of Peru (PNCB/MINAM). We also analyzed University of Maryland GLAD alerts, obtained from Global Forest Watch.

References

1. CIFOR 2016

2. GOREMAD 2016

Planet Team (2017). Planet Application Program Interface: In Space for Life on Earth. San Francisco, CA. https://api.planet.com

Citation

Finer M, Mamani N (2018) Deforestation Hotspots in the Peruvian Amazon, 2018. MAAP: 98.

MAAP #96: Gold Mining Deforestation at Record High Levels in Southern Peruvian Amazon

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Gold mining deforestation has been at record high levels in both 2017 and 2018 in the southern Peruvian Amazon.

Based on an analysis of nearly 500 high-resolution satellite images (from Planet and DigitalGlobe), we estimate the deforestation of 18,440 hectares across southern Peru during these last two years. That is equivalent to 45,560 acres (or 34,400 American football fields) in just two years.

The Base Map highlights this recent deforestation, with 2017 in red and 2018 in pink. The Reference Map in Annex 1 shows our full study area.

Base Map. Gold mining deforestation in southern Peruvian Amazon. Data: USGS/NASA, MAAP, SERNANP.

2017 had the highest gold mining deforestation on record at the time: 9,160 hectares (22,635 acres). According to recent research led by CINCIA (Centro de Innovación Científica Amazónica), this was the highest annual total on record dating back to 1985*.

In 2018, we found the gold mining deforestation was even higher: 9,280 hectares (22,930 acres).

Thus, combined, 2017-18 had the highest two-year deforestation total on record: 18,440 hectares (45,565 acres).

Note the location of Zooms (A-C) shown in greater detail below. These zooms represent three of the most threatened areas: A) La Pampa, B) Upper Malinowski, and C) Camanti.

Click (or right click) to enlarge (or download) images.

*CINCIA reports 9,860 hectares of gold mining deforestation in 2017 (CINCIA 2018, Caballero Espejo et al 2018), an estimate even higher than ours.

Zoom A: La Pampa

Image A shows the gold mining deforestation of 1,685 hectares (4,164 acres) between 2017 (left panel) and 2018 (right panel) in an area known as La Pampa (Madre de Dios region). Red indicates the major deforestation fronts.

Image A. La Pampa. Data: Planet, MAAP

As seen in the Land Use Map below (Annex 2), most of the recent mining deforestation in La Pampa is clearly illegal, concentrated in reforestation concessions and the buffer zone of Tambopata National Reserve.

According to the web portal GEOCATMIN (Geological Information System and Mining Register), developed by INGEMMET (Geological Mining and Metallurgical Institute of Peru), all titled mining concessions in the area are currently “without mining activity.” None are in authorized Exploration or Exploitation phase. Most of the mining activity is outside these concessions and in areas not authorized for mining.

Zoom B: Upper Malinowski

Image B shows the gold mining deforestation of 760 hectares (1,878 acres) between 2017 (left panel) and 2018 (right panel) along the upper stretches of the Malinowski River in the Madre de Dios region. Red indicates the major deforestation fronts.

Image B. Upper Malinowski. Data: Planet, MAAP.

As seen in the Land Use Map below (Annex 2), the recent gold mining deforestation along the Upper Malinowski is advancing in the Kotsimba Native Community and within the buffer zone of Bahuaja Sonene National Park.

According to GEOCATMIN, all titled mining concessions in the area are currently “without mining activity.” None are in authorized Exploration or Exploitation phase. Most of the mining activity is outside these concessions and in areas not authorized for mining.

Zoom C: Camanti

Image 4 shows the gold mining deforestation of 335 hectares (828 acres) between 2016 (left panel) and 2018 (right panel) in the Camanti area of the Cusco region. Red indicates the major deforestation fronts. Note the increasing proximity of the mining to Amarakaeri Communal Reserve.

Image C. Camanti. Data: Planet, MAAP.

As seen in the Land Use Map below (Annex 2), the recent gold mining in the Camanti area is advancing in mining concessions that are “in process” of titling. According to GEOCATMIN, there are no titled concessions in the area that are in Exploration or Exploitation phase.

Annex 1: Reference Map

Annex 1 features a Reference Map of our full study area. The background is white to better indicate the mining deforestation areas. It also serves as a reference map with additional labels.

Reference Map. Gold mining deforestation in southern Peruvian Amazon. Data: MAAP, SERNANP

Annex 2: Land Use Map

Annex 2 features a Land Use Map with detailed data on mining concessions and other important land designations. The mining concession data comes from the web portal GEOCATMIN (Geological Information System and Mining Register), developed by INGEMMET (Geological Mining and Metallurgical Institute of Peru). We downloaded the data on January 2, 2019.

Land use Map. Data: INGEMMET, IBC, MINAGRI, SERNANP, Planet, UMD/GLAD, MINAM/PNCB

Methodology

We analyzed high-resolution satellite imagery (DigitalGlobe and Planet) for both 2017 and 2018 and digitized all new gold mining deforestation. Given the widespread mining across a large area, we also used automated forest loss alerts based on medium resolution Landsat imagery (PNCB/MINAM) to guide our analysis.

References

Centro de Innovación Científica Amazónica (CINCIA) (2018) Tres décadas de deforestación por minería aurífera en la Amazonía suroriental peruana. Resumen de Investigación No. 1.

Caballero Espejo et al. (2018) Deforestation and Forest Degradation Due to Gold Mining in the Peruvian Amazon: A 34-Year Perspective.  Remote Sens. 2018, 10 (12), 1903; https://doi.org/10.3390/rs10121903

Asner GP and Tupayachi R (2016) Environ. Res. Lett. 12 094004.

Planet Team (2017). Planet Application Program Interface: In Space for Life on Earth. San Francisco, CA. https://api.planet.com

Acknowledgements

We thank the following colleagues for helpful comments: Miles Silman (Wake Forest Univ), Sidney Novoa (ACCA), Ronald Catpo (ACCA), Efrain Samochuallpa (ACCA), Daniela Pogliani (ACCA), Alfredo Cóndor (ACCA), and Lorena Durand (ACCA).

Citation

Finer M, Mamani N (2018) Gold Mining Deforestation at Record High Levels in Southern Peruvian Amazon. MAAP: 96.

MAAP Synthesis #3: Deforestation in the Andean Amazon (Trends, Hotspots, Drivers)

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Satellite image of the deforestation produced by United Cacao. Source: DigitalGlobe (Nextview)

MAAP, an initiative of the organization Amazon Conservation, uses cutting-edge satellite technology to monitor deforestation in near real-time in the megadiverse Andean Amazon (Peru, Colombia, Ecuador, and Bolivia).

The monitoring is based on 5 satellite systems: Landsat (NASA/USGS), Sentinel (European Space Agency), PeruSAT-1, and the companies Planet and DigitalGlobe. For more information about our innovative methodology, see this recent paper in Science Magazine.

Launched in 2015, MAAP has published nearly 100 high-impact reports on the major Amazonian deforestation issues of the day.

Here, we present our third annual synthesis report with the objective to concisely describe the bigger picture: Deforestation trends, patterns, hotspots and drivers across the Andean Amazon.

Our principal findings include:

Trends: Deforestation across the Andean Amazon has reached 4.2 million hectares (10.4 million acres) since 2001. Annual deforestation has been increasing in recent years, with a peak in 2017 (426,000 hectares). Peru has had the highest annual deforestation, followed by surging Colombia (in fact, Colombia surpassed Peru in 2017). The vast majority of the deforestation events are small-scale (‹5 hectares).

Hotspots: We present the first regional-scale deforestation hotspots map for the Andean Amazon, allowing for spatial comparisons between Peru, Colombia, and Ecuador.  We discuss six of the most important hotspots.

Drivers: We present MAAP Interactive, a dynamic map with detailed information on the major deforestation drivers: gold mining, agriculture (oil palm and cacao), cattle ranching, logging, and dams. Agriculture and ranching cause the most widespread impact across the region, while gold mining is most intense southern Peru.

Climate Change. We estimated the loss of 59 million metric tons of carbon in the Peruvian Amazon during the last five years (2013-17) due to forest loss. In contrast, we also show that protected areas and indigenous lands have safeguarded 3.17 billion metric tons of carbon.

I. Deforestation Trends

Image 1 shows forest loss trends in the Andean Amazon between 2001 and 2017.*  The left graph shows data by country, while the right graph shows data by forest loss event size.

Image 1. Annual forest loss by country and size. Data: Hansen/UMD/Google/USGS/NASA, UMD/GLAD, Global Forest Watch, MINAM/PNCB, RAISG.

Trends by Country

Over the past 17 years (2001-2017), deforestation has surpassed 4.2 million hectares (10.4 million acres) in the Andean Amazon (see green line). Of this total, 50% is Peru (2.1 million hectares/5.2 million acres), 41% Colombia (1.7 million hectares/4.27 million acres), and 9% Ecuador (887,000 acres/359,000 hectares). This analysis did not include Bolivia.

Since 2007, there has been an increasing deforestation trend, peaking during the past two years (2016-17). In fact, 2017 has the highest annual forest loss on record with 426,000 hectares (over one million acres), more than double the total forest loss in 2006.

Peru had the highest average annual Amazonian deforestation between 2009 and 2016. The past four years have the highest annual deforestation totals on record in the country, with peaks in 2014 (177,566 hectares/439,000 acres) and 2016 (164,662 hectares/406,888 acres). According to new data from the Peruvian Environment Ministry, there was an important decline in 2017 (155,914 hectares/385,272 acres), but it is still the fourth highest annual total on record.

There has been a surge of deforestation in Colombia during the past two years. Note that in 2017, Colombia surpassed Peru with a record high of 214,700 hectares (530,400 acres) deforested.

Deforestation is also increasing in Ecuador, with highs of 32,000 hectares (79,000 acres) in 2016 and 55,500 hectares (137,000) acres in 2017.

For context, Brazil has had an average deforestation loss rate of 639,403 hectares (1.58 million acres) over the past several years.

* Data: Colombia & Ecuador: Hansen/UMD/Google/USGS/NASA; Peru: MINAM/PNCB, UMD/GLAD. While this information includes natural forest loss events, it serves as our best estimate of deforestation resulting from anthropogenic causes.  It is estimated that the non-anthropic loss comprises approximately 3.5% of the total loss. Note that the analysis does not include Bolivia.

Trends by Size

The pattern related to the size of deforestation events in the Andean Amazon remained relatively consistent over the last 17 years. Most noteworthy: the vast majority (74%) of the deforestation events are small-scale (‹5 hectares). Only 2% of deforestation events are large-scale (>100 hectares). The remaining 24% are medium-scale (5-100 hectares).

These results are important for conservation efforts.  Addressing this complex situation – in which most of the deforestation events are small-scale – requires significantly more attention and resources.  In addition, while large-scale deforestation (usually associated with agro-industrial practices) is not that common, it nonetheless represents a serious latent threat, due to the fact that only a small number of agro-industrial projects (for example, oil palm) are able to rapidly destroy thousands of acres of primary forest.

II. Deforestation Hotspots

Image 2: Deforestation hotspots 2015-2017. Data: Hansen/UMD/Google/USGS/NASA.

We present the first regional-scale deforestation hotspots map across the Andean Amazon (Colombia, Ecuador, Peru).  Image 2 shows the results for the past three, 2015 – 2017.

The most critical zones (“high” deforestation density) are indicated in red. They include:

A. Central Peruvian Amazon: Over the last 10 years, this zone, located in the Ucayali and Huánuco regions, has consistently had one of the largest concentrations of deforestation in Peru (Inset A).  Its principal drivers include oil palm and cattle grazing.

B. Southern Peruvian Amazon: This zone, located in the Madre de Dios region, is impacted by gold mining (Inset B1), and increasingly by small- and medium-scale agriculture along the Interoceanic Highway (Inset B2).

C. Central Peruvian Amazon: A new oil palm plantation located in the San Martín region has been identified as a recent large-scale deforestation event in this zone (Inset C).

D. Southwestern Colombian Amazon: Cattle grazing is the principal deforestation driver documented in this zone, located in the departments of Caquetá and Putumayo (Inset D).

E. Northern Colombian Amazon: There is expanding deforestation along a new road in this zone, located in the department of Guaviare (Inset E).

F. Northern Ecuadoran Amazon: This zone is located in the Orellana province, where small- and medium-scale agriculture, including oil palm, is the principal driver of deforestation (Inset F).

 

 

III. Drivers of Deforestation     

MAAP Interactive (screenshot)

One of the main objectives of MAAP is to improve the availability of precise and up-to-date information regarding the current drivers (causes) of deforestation in the Andean Amazon.  Indeed, one of our most important advances has been the use of high-resolution imagery to identify current deforestation drivers.

In order to improve the analysis and understanding of the identified drivers, we have created an Interactive Map that displays the spatial location of each driver associated with every MAAP report.  An important characteristic of this map is the ability to filter the data by driver, by selecting the boxes of interest.

Image 3 shows a screenshot of the Interactive Map.  Note that it contains detailed information on these principal drivers: gold mining, oil palm, cacao, small-scale agriculture, cattle pasture, logging roads, and dams.  It also includes natural causes such as floods, forest fires, and blowdowns.  In addition, it highlights deforestation events in protected areas.

Below, we discuss the principal drivers of deforestation and degradation in greater detail.

 

 

 

 

Agriculture – oil palm, cacao, and other crops

Image 4: Interactive Map, agriculture. Data: MAAP.

Image 4 shows the results of the interactive map when applying the agriculture-related filters.

Legend:
Oil palm (bright green)
Cacao (brown)
Other crops (dark green)

Agricultural activity is one of the principal causes of deforestation in the Andean Amazon.

The majority of agriculture-related deforestation is caused by small- and medium-scale plantations (‹50 hectares).

Deforestation for large-scale, agro-industrial plantations is much less common, but represents a critical latent threat.

 

 

 

 

 

Large-scale Agriculture

We have documented five major deforestation events produced by large-scale plantations since 2007:  four of these occurred in Peru (three of which are related to oil palm and one to cacao) and one in Bolivia (resulting from sugar cane plantations).

First, between 2007 and 2011, two large-scale oil palm plantations caused the deforestation of 7,000 hectares on the border between Loreto and San Martín (MAAP #16).  Subsequent plantations in the surrounding area caused the additional deforestation of 9,800 hectares.

It is importnat to note that the Peruvian company Grupo Palmas is now working towards a zero deforestation value chain and has a new sustainability policy (see Case C of MAAP #64).

Next, between 2012 and 2015, two other large-scale oil palm plantations deforested 12,000 hectares in Ucayali  (MAAP #4, MAAP #41).

Between 2013 and 2015, the company United Cacao deforested 2,380 hectares for cacao plantations in Loreto (MAAP #9, MAAP #13, MAAP #27, MAAP #35).

Deforestation from large-scale agriculture decreased in Peru between 2016 and 2017, but there was one notable event: an oil palm plantation of 740 hectares in San Martín (MAAP #78).

Another notable case of deforestation related to large-scale agriculture has been occurring in Bolivia, where a new sugarcane plantation has caused the deforestation of more than 2,500 hectares in the department of La Paz.

Additionally, we found three new zones in Peru characterized by the deforestation pattern produced by the construction of organized access roads which have the potential of becoming large-scale agriculture areas (MAAP #69).

Small and Medium-scale Agriculture

Deforestation caused by small- and medium-scale agriculture is much more widespread, but it is often difficult to identify the driver from satellite imagery.

We have identified some specific cases of oil palm in Huánuco, Ucayali, Loreto, and San Martín (MAAP #48, MAAP #26, MAAP #16).

Cacao and papaya are emerging drivers in Madre de Dios.  We have documented cacao deforestation along the Las Piedras River (MAAP #23, MAAP #40) and papaya along the Interoceanic Highway (MAAP #42).

Corn and rice cultivation appear to be turning the area around the town of Iberia into a deforestation hotspot (MAAP #28).  In other cases, we have documented deforestation resulting from small- and medium-scale agriculture, though it has not been possible to identify the type of crop (MAAP #75, MAAP #78).

Additionally, small-scale agriculture is possibly a determining factor in the forest fires that degrade the Amazon during the dry season (MAAP #45, MAAP #47).

The cultivation of illicit coca is a cause of deforestation in some areas of Peru and Colombia.  For example, in southern Peru, the cultivation of coca is generating deforestation within the Bahuaja Sonene National Park and its surrounding areas.

Cattle Ranching

Image 5: Interactive Map, cattle ranching. Data: MAAP.

By analyzing high-resolution satellite imagery, we have developed a methodology for identifying areas deforestated by cattle ranching.*

Image 5 shows the results of the Interactive Map when applying the “Cattle pasture” filter, indicating the documented examples in Peru and Colombia.

Legend:
Cattle ranching (orange)

Cattle ranching is the principal driver of deforestation in the central Peruvian Amazon (MAAP #26, MAAP #37, MAAP #45, MAAP #78). We also identified recent deforestation from cattle ranching in northeastern Peru (MAAP #78).

In the Colombian Amazon, cattle ranching is one the primary direct drivers in the country’s most intense deforestation hotspots (MAAP #63, MAAP #77).

* Immediately following a major deforestation event, the landscape of felled trees is similar for both agriculture and cattle pasture.  However, by studying an archive of images and going back in time to analyze older deforestation cases, it is possible to distinguish between the drivers.  For example, after one or two years, agriculture and cattle pasture appear very different in the images. Ther former tends to have organized rows of new plantings, while the latter is mostly grassland.

 

 

 

Gold Mining

Image 6: Interactive Map, gold mining. Data: MAAP.

Image 6 shows the results of the Interactive Map when applying the “Gold mining” filter.

Legend:
Gold Mining (yellow)
*With dot indicates within protected area

The area that has been most impacted by gold mining is clearly the southern Peruvian Amazon, where we estimate the total deforestation of more than 63,800 hectares. Of this, at least 7,000 hectares have been lost since 2013.  The two most critical zones are La Pampa and Alto Malinowski in Madre de Dios (MAAP #87, MAAP #75, MAAP #79).  Another critical area exists in Cusco in the buffer zone of the Amarakaeri Communal Reserve, where mining deforestation is now less than one kilometer from the boundary of the protected area (MAAP #71).

It is important to highlight two important cases in which the Peruvian government has taken effective actions to halt illegal mining within protected areas (MAAP #64).  In September 2015, illegal miners invaded Tambopata National Reserve and deforested 550 hectares over the course of a two-year period.  At the end of 2016, the government intensified its interventions and the invasion was halted in 2017. In regards to Amarakaeri Communal Reserve, in June 2015 we revealed the mining invasion deforestation of 11 hectares.  Over the course of the following weeks, SERNANP and ECA Amarakaeri implemented measures and rapidly halted the illegal activity.

Other small gold-mining fronts are emerging in the northern and central Peruvian Amazon (MAAP #45, MAAP #49).

In addition, we have also documented deforestation linked to illegal gold-mining activities in the Puinawai National Park in the Colombian Amazon.

Logging

Image 7: Interactive Map, logging roads. Data: MAAP.

In MAAP #85 we proposed a new tool to address illegal logging in the Peruvian Amazon: utilize satellite imagery to monitor construction of logging roads in near real-time.

Image 7 shows the results of the Interactive Map when applying the “Logging roads” filter.

Legend:
Logging Road (purple)

We estimate that 2,200 kilometers of forest roads have been constructed in the Peruvian Amazon during the last three years (2015-2017).  The roads are concentrated in southern Loreto, Ucayali, and northwestern Madre de Dios.

 

 

 

 

 

 

Roads

Image 8: Interactive map, roads. Data: MAAP.

It has been well-documented that roads are one of the most important drivers of deforestation in the Amazon, particularly due to the fact that they facilitate human access and activities related to agriculture, cattle ranching, mining, and logging.

Image 8 shows the results of the Interactive Map when applying the “Roads” filter.

Legend:
Road (gray)

We have analyzed two controversial proposed roads in Madre de Dios, Peru.

The Nuevo Edén – Boca Manu – Boca Colorado road would traverse the buffer zone of two protected areas: Amarakaeri Communal Reserve and Manu National Park (MAAP #29).

The other, the Puerto Esperanza-Iñapari road, would traverse the Purús National Park and threaten the territory of the indigenous peoples in voluntary isolation who live in this remote area (MAAP #76).

 

 

 

 

Hydroelectric dams

Image 9 shows the results of the Interactive Map when applying the “Dams” filter.

Legend:
Hydroelectric Dam (light blue)

To date, we have analyzed three hydroelectric dams located in Brazil.  We have documented the loss of 36,100 hectares of forest associated with flooding produced by two dams (San Antonio and Jirau) on the Madeira River near the border with Bolivia (MAAP #34).  We also analyzed the controversial Belo Monte hydroelectrical complex located on the Xingú River, adn estimate that 19,880 hectares of land have been flooded. According to the imagery, this land is a combination of forested areas and agricultural areas (MAAP #66).

Additionally, we show a very high-resolution image of the exact location of the proposed Chadín-2 hydroelectric dam on the Marañón River in Peru (MAAP #80).

Hydrocarbon (oil and gas)

Image 10: Interactive map, hidrocarbon. Data: MAAP.

Image 10 shows the results of the Interactive Map when applying the “Hydrocarbon“ filter.

Legend:
Hydrocarbon (black)

Our first report on this sector focused on Yasuní National Park in the Ecuadorian Amazon.  We documented the direct and indirect deforestation amounts of 417 hectares (MAAP #82).

We also show the location of recent deforestation in two hydrocarbon block in Peru: Block 67 in the north and Blocks 57 in the south.

 

 

 

 

 

 

 

Climate Change

Tropical forests, especially the Amazon, sequester huge amounts of carbon, one of the main greenhouse gases driving climate change.

In MAAP #81, we estimated the loss of 59 million metric tons of carbon in the Peruian Amazon during the last five years (2013-17) due to forest loss, especially deforestation from mining and agricultural activities. This finding reveals that forest loss represents nearly half (47%) of Peru’s annual carbon emissions, including from burning fossil fuels.

In contrast, in MAAP #83 we show that protected areas and indigenous lands have safeguarded 3.17 billion metric tons of carbon, as of 2017. That is the equivalent to 2.5 years of carbon emissions from the United States.

The breakdown of results are:
1.85 billion tons safeguarded in the Peruvian national protected areas system;
1.15 billion tons safeguarded in titled native community lands; and
309.7 million tons safeguarded in Territorial Reserves for indigenous peoples in voluntary isolation.

Citation

Finer M, Mamani N (2018) Deforestation in the Andean Amazon (Trends, Hotspots, Drivers). MAAP Synthesis #3.

MAAP #91: Introducing PeruSAT-1, Peru’s new High-resolution Satellite

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PeruSat-1. Credit: Airbus DS

In September 2016, Peru’s first satellite, PeruSAT-1, launched. It is Latin America’s most powerful Earth observation satellite, capturing images at a resolution of 0.70 meters.

The cutting-edge satellite was constructed by Airbus (France) and is now operated by the Peruvian Space Agency, CONIDA.

The organization Amazon Conservation was granted early access to the imagery to boost efforts related to near real-time deforestation monitoring.

Below, we present a series of PeruSAT images that demonstrate their powerful utility in terms of detecting and understanding deforestation in the Peruvian Amazon.

 

 

 

 

Gold Mining

We have reported extensively on the continuing gold mining deforestation in the southern Peruvian Amazon (see MAAP #87). We are now using PeruSAT to identify active and emerging mining deforestation fronts. For example, in the following images of an active mining zone, it is possible to clearly observe the environmental impact, and identify mining camps and wastewater pools.

PeruSAT-1 image of active gold mining. Data: ®CONIDA (2018), Distribution CONIDA, Peru; All rights reserved.
PeruSAT-1 image (zoom) of active gold mining. Data: ®CONIDA (2018), Distribution CONIDA, Peru; All rights reserved.

Agricultural Expansion

The following image shows a papaya plantation that appeared after a recent deforestation event near the Interoceanic highway in the southern Peruvian Amazon (Mavila, Madre de Dios). See MAAP #42 for more details on papaya emerging as new deforestation driver in this area.

PeruSAT-1 image of papaya plantation. Data: ®CONIDA (2018), Distribution CONIDA, Peru; All rights reserved.

Logging Roads

The following image shows, in high-resolution, a new logging road crossing primary forest in the southern Peruvian Amazon (district of Iñapari, Madre de Dios).

PeruSAT-1 image of logging road. Data: ®CONIDA (2018), Distribution CONIDA, Peru; All rights reserved.

Citation

Villa L, Finer M (2018) Introducing PeruSAT-1, Peru’s new High-resolution Satellite. MAAP: 91.

MAAP #89: Impacts of Mining Project “Mirador” in the Ecuadorian Amazon

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MAAP #89:
Impacts of Mining Project “Mirador” in the Ecuadorian Amazon
https://www.maapprogram.org/mirador-ecuador/

“Mirador” mining project in Ecuador.

The Ecuadorian Amazon is experiencing a growing number of conflicts directly related to oil and mining extraction projects.

Here, we focus on the “Mirador” mining project, an open pit copper mine in the Cordillera del Cóndor, a mountain range along the Ecuador/Peru border that hosts a high level of endemism.

We show a series of satellite images that highlight both the environmental impacts, such as the deforestation of over 3,200 acres, and social impacts, such as the forced eviction of communities.

*The Ecuador series is a collaboration between Amazon Conservation, Amazon Conservation Team, and EcoCiencia, funded by the MacArthur Foundation.

MAAP #89: Impacts of Mining Project “Mirador” in the Ecuadorian Amazon
https://www.maapprogram.org/mirador-ecuador/

 

 

MAAP #87: Gold Mining deforestation continues in the Peruvian Amazon

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Expansión hacia el este de mineria aurífera en La Pampa. Fuente: Planet.

We have reported extensively on the ongoing gold mining deforestation crisis in the southern Peruvian Amazon (see Archive), estimating the loss of over 17,500 acres in the five years between 2013 and 2017.

Here, we present new analysis showing that the destruction continues in 2018: we estimate an additional 4,265 acres during the first six months (January – June). This most recent deforestation is concentrated in two critical areas: La Pampa and Alto Malinowski. Most, if not all, of the mining appears to be illegal (see Annex).

This brings the total gold mining deforestation since 2013 to over 21,750 acres.

Next, we show a series of satellite images of the recent deforestation in La Pampa and Alto Malinowski.

 

 

Base Map

The Base Map highlights the most recent (2018) gold mining deforestation in red. We estimate this deforestation to be around 4,265 acres in the two most critical zones: La Pampa and Alto Malinowski. The yellow boxes indicate the location of the zooms described below. At the end of the article, in the Annex, we present the same base map but with all the overlapping land designations as well to illustrate the complexity of the situation.

Base Map. 2018 gold mining deforestation in southern Peruvian Amazon. Data: Planet, UMD/GLAD, MINAM/PNCB

La Pampa

The following images show the gold mining deforestation in the area known as “La Pampa” between January (left panel) and May (right panel) 2018. Note that the second image is in slider format.

Zoom de La Pampa. Datos: Planet, MAAP

[twenty20 img1=”7415″ img2=”7416″ width=”80%” offset=”0.5″]

Alto Malinowski

The following images show the gold mining deforestation in the area known as “Alto Malinowski” between January (left panel) and May (right panel) 2018. Note that the second image is in slider format.

[twenty20 img1=”7417″ img2=”7418″ width=”80%” offset=”0.5″]

Annex

We present the same base map as above, but also with relevant land designations.  Note that much of the deforestation is concentrated in forestry concessions (ironically, in “reforestation” concessions) and in the Kotsimba Native Community, both of which are outside the legal mining corridor and within the buffer zones of Tambopata National Reserve and Bahuaja Sonene National Park. Thus, most, if not all, of the mining activity appears to be illegal.

Citation

Finer M, Villa L, Mamani N (2018) Gold Mining continues to ravage the Peruvian Amazon. MAAP: 87.

MAAP #79 – Seeing through the Clouds: Monitoring Deforestation with Radar

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Imagen 79. Satélite de radar, Sentinel-1. Creado por MAAP

MAAP has repeatedly emphasized the power and importance of Earth observation satellites with optical sensors (such as Landsat, Planet, DigitalGlobe).

However, they also have a key limitation: clouds block the data about Earth from reaching the sensor, a common problem in rainy regions like the Amazon.

Fortunately, there is another powerful tool with a unique capability: satellites with radar sensors, which emit their own energy that can pass through the clouds (see Image).

Since 2014, the European Space Agency has provided free imagery from its radar satellites, known as Sentinel-1.

In the Peruvian Amazon, for example, Sentinel-1 obtains imagery every 12 days with a resolution of ~20 meters.

Here, we show the power of radar imagery in terms of near real-time deforestation monitoring. We focus on an area with ongoing deforestation due to gold mining in the southern Peruvian Amazon (Madre de Dios region).

 

 

 

 

Radar Imagery (Sentinel-1)

Image 79a is a series of Sentinel-1 radar images, showing the advance of gold mining deforestation between January 2017 and February 2018. We highlight 4 focal areas: A. La Pampa (Balata sector), B. Tierra Roja, C. Upper Malinowski, D. Tambopata National Reserve. In these radar images, the deforested areas appear in purplish-blue, while intact forests appear yellowish-green.

Image 79a. GIF of Sentinel-1 images (VV / VH polarization). Data: ESA, SERNANP

Note the rapid expansion of gold mining deforestation in La Pampa, as well as in the Upper Malinowski area. In contrast, note that the illegal gold mining invasion of Tambopata National Reserve, which escalated in 2016, was effectively halted in 2017.

Deforestation Data

Image 79b indicates the most recent gold mining deforestation areas detected by radar. We estimate the loss of 3,260 acres (1,320 hectares) between January 2017 and February 2018 (indicated in yellow and red), in our area of interest. Of that, around half occurred since October (1,609 acres, indicated in red), when the availability of good optical images is more limited due to persistent cloud cover.
Image 79b. Gold mining deforestation, determined from Sentinel-1 images (VV / VH polarization). Data: ESA, SERNANP

The most urgent deforestation front is clearly La Pampa (Balata sector), which lost 1,082 acres (474 since October). The other urgent area is the Upper Malinowski, which lost 440 acres (208 since October).

Optical Image

Finally, Image 79c is an optical image of the same area. Note how the radar imagery above accurately detected the gold mining deforestation.
Image 79c. Optical image. Data: Planet, SERNANP

References

Planet Team (2017). Planet Application Program Interface: In Space for Life on Earth. San Francisco, CA. https://api.planet.com

Citation

Villa L, Finer M (2018) Seeing through the Clouds: Monitoring Deforestation with Radar. MAAP: 79.

 

MAAP #78: Deforestation Hotspots in the Peruvian Amazon, 2017

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Base Map (Image 78). Data: PNCB/MINAM, UMD/GLAD, SERNANP

As we begin a new year, we make an initial assessment of 2017, estimating deforestation hotspots in the Peruvian Amazon based on early warning alert data.*

We estimate the annual forest loss of 354,410 acres (143,425 hectares) across Peru in 2017. If confirmed, this total represents the lowest in 5 years (average of 394,600 acres since 2012), and a decrease of 13% from last year.**

Deforestation, however, is still widespread. The base map shows the most intense hotspots (areas with highest density of forest loss).

The two main deforestation areas are clearly seen: the central Amazon (Ucayali/Huánuco regions) and the southern Amazon (Madre de Dios). Also, there are several additional hotspots scattered throughout the country.

We present satellite images (slider format) of the most intense hotspots. The images reveal that the main deforestation drivers include gold mining, oil palm, and general agriculture (crops and livestock).

The hotspots detailed below are:

A. Central Amazon (Ucayali/Huánuco)
B. Southern Madre de Dios
C. Iberia (Madre de Dios)
D. Northeast San Martín
E. Nieva (Amazonas)

 

 

 

A. Central Amazon (Ucayali/Huánuco)

As in previous years, there is a concentration of high intensity hotspots in the central Peruvian Amazon (Ucayali and Huánuco regions). We estimate the deforestation of 57,430 acres (23,240 hectares) in this hotspot during 2017. The images show that the main drivers are likely cattle ranching and oil palm plantations. Image 78a is a slider showing an example of the deforestation in this hotspot during 2017.

[twenty20 img1=”6875″ img2=”6876″ width=”78%” offset=”0.5″]

Image 78a. Central Amazon. Data: Planet, NASA/USGS

B. Southern Madre de Dios

As described in MAAP #75, Madre de Dios has become one of the regions with the highest rates of deforestation in Peru, with a concentration along the Interoceanic highway. We estimate the deforestation of 27,465 acres (11,115 hectares) in southern Madre de Dios during 2017. Image 78b is a slider showing the extensive deforestation that occurred in this area during 2017. The images show that the main drivers are gold mining (south of the highway) and small to medium-scale agriculture (north of the road).

[twenty20 img1=”6877″ img2=”6878″ width=”78%” offset=”0.5″]

Image 78b. South Madre de Dios. Data: Planet

C. Iberia (Madre de Dios)

On the other side of Madre de Dios, near the border with Brazil, another hotspot is located around the town of Iberia. We estimate the deforestation of 7,955 acres (3,220 hectares) in this hotspot during 2017.  Image 78c is a slider showing deforestation in the area of the hotspot west of Iberia (known as Pacahuara). The images show that the main deforestation driver is small to medium-scale agriculture (according to local sources, the main crops include corn, papaya, and cacao).

[twenty20 img1=”6880″ img2=”6879″ width=”78%” offset=”0.5″]

Image 78c. Iberia. Data: Planet

D. Northeast of San Martín

A new hotspot emerged in the northeast corner San Martin due to a large-scale agriculture plantation. Image 78d is a slider that shows the deforestation of 1,830 acres (740 hectares) during the last several months of 2017. The Peruvian Environment Ministry has confirmed that the cause is a new oil palm plantation. Indeed, this new deforestation is close to an area that has experienced extensive deforestation for oil palm plantations in recent years (see MAAP #16).

[twenty20 img1=”6882″ img2=”6881″ width=”78%” offset=”0.5″]

Image 78d. San Martin. Data: Planet

E. Nieva (Amazonas)

In northwestern Peru, there is a new isolated hotspot along a road connecting the towns of Bagua and Saramiriza in the district of Nieva (Amazonas region). We estimate the deforestation of 2,805 acres (1,135 hectares) in this hotspot during 2017. Image 78e is a slider that shows an example of the recent deforestation. The images show that the cause of deforestation is mostly small-scale agriculture and cattle pasture.

[twenty20 img1=”6884″ img2=”6883″ width=”78%” offset=”0.5″]

Image 78e. Nieva. Data: Planet

Notes

*We emphasize that the data presented in this report are estimates based on early warning alert data generated by: 1) GLAD/UMD (Hansen et al 2016 ERL 11: (3)), and 2) the National Program for Forest Conservation for Climate Change Mitigation of the Ministry of the Environment of Peru (PNCB/MINAM). The official forest loss data are produced annually by  PNCB/MINAM.

**According to official PNCB/MINAM data, forest loss in 2016 was 164,662 hectares. The average of the last 5 years (2012-16) was 159,688 hectares.

Coordinates

A. -8.289977,-75.415649
B. -12.969013,-69.918365; -12.872639,-70.263062
C. -11.304257,-69.635468
D. -6.26539,-75.800171
E. -4.972954,-78.21167

References

Planet Team (2017). Planet Application Program Interface: In Space for Life on Earth. San Francisco, CA. https://api.planet.com

Citation

Finer M, Mamani N, García R, Novoa S (2018) Deforestation Hotspots in the Peruvian Amazon, 2017. MAAP: 78.

MAAP #75: Pope to visit Madre de Dios, region with Deforestation Crisis (Peru)

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Table 76. Data: PNBC/MINAM (2001-16), UMD/GLAD (2017, until the first week of November).

Pope Francis, as part of his upcoming visit to Peru in January, will visit the Madre de Dios region in the southern Peruvian Amazon. He is expected to address issues facing the Amazon and its indigenous communities, including deforestation.

In this article, we show that Madre de Dios is experiencing a deforestation crisis, due mainly to impacts from gold mining, small-scale agriculture, and roads.

Table 76 shows the increasing trend of annual forest loss since 2001, peaking in 2017. In fact, in 2017 forest loss exceeded 20,000 hectares (49,000 acres) for the first time, doubling the loss in 2008.*

The table also shows the ranking of Madre de Dios in respect to the annual forest loss compared to all other regions of the Peruvian Amazon (see red line). For the first time, Madre de Dios is the region with the second highest forest loss total, behind only Ucayali.

Next, we present a map of deforestation hotspots in Madre de Dios in 2017, along with satellite images of a number of the most intense hotspots.

*The total estimated forest loss in 2017 was based on early warnings alerts generated by the University of Maryland (GLAD alerts) and the Peruvian Environment Ministry (PNCB/MINAM). The estimate is 20,826 hectares as of the first week of November.

Deforestation Hotspots in Madre de Dios

Image 76 shows a map of deforestation hotspots in Madre de Dios in 2017, based on early warning forest loss data. The colors yellow (low), orange (medium/high), and red (very high) correspond to the areas with the highest concentration of alerts, i.e. the main deforestation hotspots of 2017. Note how the majority of the forest loss is concentrated along the recently paved Interoceanic highway.

Next, we show satellite imagery for 7 hotspots (Insets A-G) that together account for the deforestation of 6,000 hectares (15,000 acres). We show that the main deforestation drivers are gold mining and small-scale agriculture.

Image 76. Base Map of Hotspots in Madre de Dios in 2017. Data: PNBC/MINAM, UMD/GLAD

La Pampa (Inset A)

The area known as La Pampa continues to experience significant deforestation due to the advance of gold mining. Despite a series of field interventions by the Peruvian Government, we documented the deforestation of 1,385 acres (560 hectares) in 2017 (Image 76a). Since 2013, the total deforestation in La Pampa is 11,270 acres (4,560 hectares).

Image 76a. Data: Planet

Upper Malinowski (Inset B)

Upstream of La Pampa, the headwaters of the Malinowski River represent a second area devastated by the recent advance of gold mining. We documented the deforestation of 1,795 acres (726 hectares) in 2017 along the upper Malinowski (Image 76b). Since 2015, the total deforestation along the upper Malinowski is 5,260 acres (2,130 hectares).

Image 76b. Data: Planet

Santa Rita and Guacamayo (Insets C y D)

To the north of the La Pampa and Upper Malinowski mining areas, and on the other side of the Interoceanic highway, are two areas with significant recent deforestation due to small-scale agriculture. In these two areas, we documented the deforestation of 2,890 acres (1,170 hectares) in 2017 (Images 76c, 76d). Additional research focused on the exact type of crops is required, but local sources indicate an increase in papaya and cacao in the area.

Image 76c. Data: Planet, ESA
Image 76d. Data: Planet

Iberia (Inset E)

On the other side of Madre de Dios, along the Interoceanic Highway near the border with Brazil and Bolivia, is the town of Iberia. This area has become a major deforestation hotspot in recent years. We documented the deforestation of 2,250 acres (910 hectares) in 2017 (Image 76e). Since 2014, the total deforestation around Iberia is 6,795 acres (2,750) hectares. A large part of the deforestation is within forestry concessions, indicating that these concessions have been invaded. The cause of the deforestation is small-scale agriculture (specifically, according to local sources, corn, papaya, and cacao).

Image 76e. Data: Planet

Tahuamanu (Inset F)

To the west of Iberia, an isolated hotspot emerged caused by the rapid proliferation of logging roads. This hotspot is located within a forestry concession, but its impact is troubling due to the extension and density of the new road network. We estimate the construction of 130 km of new logging forest roads in this area in 2017 (Image 76f).

Image 76f. Data: Planet

Las Piedras (Inset G)

Finally, deforestation continues within two ecotourism concessions along the Las Piedras River, a remote area famous for its exceptional wildlife (see this video). We documented the deforestation of 300 acres (134 hectares) in 2017 (Image 76g). Since 2013, the total deforestation along the Las Piedras River is 1,495 acres (605 hectares). Note that the Las Piedras Amazon Center Ecotourism Concession represents an effective barrier against deforestation impacting the surrounding concessions. According to local sources, the main causes of deforestation are cacao plantations and cattle pasture.

Image 76g. Data: Planet

Coordinates

Zona A: -12.99, -69.90
Zona B: -13.05, -70.17
Zona C: -12.85, -70.26
Zona D: -12.84, -69.99
Zona E: -11.31, -69.61
Zona F: -11.23, -70.05
Zona G: -11.601711, -70.477295

References

Planet Team (2017). Planet Application Program Interface: In Space for Life on Earth. San Francisco, CA. https://api.planet.com

Citation

Finer M, Novoa S, Garcia R (2017) Pope to visit Madre de Dios (Peru), region with Deforestation Crisis. MAAP: 75.

MAAP Interactive: Deforestation Drivers in the Andean Amazon

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Since its launch in April 2015, MAAP has published over 70 reports related to deforestation (and natural forest loss) in the Andean Amazon. We have thus far focused on Peru, with several reports in Colombia and Brazil as well.

These reports are meant to be case studies of the most important and urgent deforestation events. We often use forest loss alerts (known as GLAD) to guide us, and satellite imagery (from Planet and DigitalGlobe) to identify the deforestation driver.

Here we present an interactive map highlighting the drivers identified in all published MAAP reports. These drivers include gold mining, agriculture (e.g. oil palm and cacao), cattle pasture, roads, and dams (see icon legend below map). We also include natural causes such as floods and blowdowns (fire included under agriculture since most human caused). Furthermore, we highlight deforestation events within protected areas. Note that you can filter by driver by checking boxes of interest.

We hope the result is one of the most detailed and up-todate resources on patterns and drivers of deforestation in the Andean Amazon. Over the coming year we will continue to focus on Peru and Colombia, and begin to include Ecuador and Bolivia as well.

To view the interactive map, please visit:

MAAP Interactive: Deforestation Drivers in the Andean Amazon
https://www.maapprogram.org/interactive/

For more information on patterns and drivers of deforestation in the Peruvian Amazon, see our latest Synthesis report