MAAP #137: New Illegal Gold Mining Hotspot In Peruvian Amazon – Pariamanu

In 2019, the Peruvian government launched Operation Mercury to confront the illegal gold mining crisis in the southern Amazonian area known as La Pampa (Madre de Dios region).As a result, deforestation decreased 90% in this critical area (MAAP# 130).

Some illegal gold mining, however, has moved to several new hotspots (Image 1), although at much lower levels.

Image 1. Very high-resolution image of the recent gold mining deforestation (10 hectares) in the new hotspot around the Pariamanu river. Data: Planet (Skysat)
Image 1. Very high-resolution image of the recent gold mining deforestation (10 hectares) in the new hotspot around the Pariamanu river. Data: Planet (Skysat)

The most emblematic hotspot is located along the Pariamanu River, northeast of La Pampa in the Madre de Dios region (see Base Map, below).

We have documented the gold mining deforestation of 204 hectares (504 acres) in the Pariamanu area from 2017 to the present

This mining activity is clearly illegal because it is located within Brazil-nut forestry concessions, and is outside the permitted mining zone (commonly called the “mining corridor”).

Fortunately, a series of timely actions by the Peruvian Government has minimized the irreversible damage along the Pariamanu (see below).

The objective of this report is to present Pariamanu as an emblematic case that links technology with the rapid response action of public entities to address illegal activity in the Amazon.

It also represents a concrete case of strategic collaboration between civil society and the government to try and achieve zero illegal deforestation (and avoided deforestation).

 

 

Pariamanu

Base Map

Base Map. Illegal gold mining deforestation along the Pariamanu river, in the context of La Pampa. Data: MAAP.
Base Map. Illegal gold mining deforestation along the Pariamanu river, in the context of La Pampa. Data: MAAP.

The Base Map shows the location of illegal gold mining along the Pariamanu River, in the southern Peruvian Amazon (Madre de Dios region).

For context, La Pampa (the previous epicenter of illegal mining) and the regional capitol city of Puerto Maldonado are inlcuded. We also show another new illegal mining hotspot next to La Pampa, known as Apaylon.

In total, we have documented the deforestation of 204 hectares (504 acres) of primary forest caused by illegal gold mining in Pariamanu since 2017, indicated in red.

Note that this deforestation is located within Brazil nut forestry concessions and outside the “mining corridor,” thus clearly indicating its illegality.

 

 

 

Satellite Video: Illegal Gold Mining Deforestation in Pariamanu

We present a satellite image video showing an example of illegal gold mining in the Pariamanu area. These images show the deforestation of 71 hectares (175 acres) between 2016 (first image) and 2021 (last image), in the area indicated by the white inset box in the Base Map above. Note that each image is from July of each year (2016-20), with the exception of 2021 which shows January and March.

Satellite image video. Data: Planet.

Planet link: https://www.planet.com/stories/illegal-gold-mining-in-southern-peruvian-amazon-pa-6DfO4KuGg

 

 

MAAP Reports & Government Action

Operativo en Pariamanu, septiembre del 2020. Foto: FEMA Madre de Dios.
Operativo en Pariamanu, septiembre del 2020. Foto: FEMA Madre de Dios.

The first MAAP report about Pariamanu was published in November 2016, where we described “the start of mining in a new area” (MAAP #50). We found the mining-caused deforestation of 69 hectares (170 acres) on the banks of the Pariamanu river.

In January 2020, we published the second MAAP report about Pariamanu, documenting that the mining deforestation increased to 99 hectares (245 acres) (MAAP # 115). In this report, we warned that there were indications that some miners displaced by Operation Mercury (in February 2019) have moved to this area.

In response to this situation, the Peruvian Government, led by the Special Prosecutor for Environmental Matters (known as FEMA), carried out a series of field operations in 2020 (MayAugust and September, respectively), as an extension of Operation Mercury focused on cracking down on the illegal mining in Pariamanu.

The operations were effective in destroying mining equipment and sending a strong message that the government was engaged in this area.

However, we found that gold mining deforestation continued in several small areas between October 2020 and March 2021 (see Image 2), reaching the new total of 204 hectares (504 acres).

Fortunately, the government continues to respond effectively. Most recently (March 19, 2021), FEMA and the Peruvian Coast Guard carried out a new operation in Pariamanu, finding an illegal mining camp and equipment.

As mentioned above, the objective of this section (and this report) is to present Pariamanu as an emblematic case that links technology with the rapid response action of public entities to address illegal activity in the Amazon. It also represents a concrete case of strategic collaboration between civil society and the government to try and achieve zero illegal deforestation (and avoided deforestation).

 

Image 2. Data: Planet, MAAP.
Image 2. Data: Planet, MAAP.

 

Acknowledgments

We thank S. Novoa (ACCA), G. Palacios (ACA), and A. Felix, K. Nielsen, A. Caceres, I. Canelo, J. Carlos Guerra, O. Liao, y H. Che Piu from USAID’s PREVENT Project, for their helpful comments on this report.

This report was conducted with technical assistance from USAID, via the Prevent project. Prevent is an initiative that is working with the Government of Peru, civil society, and the private sector to prevent and combat environmental crimes in Loreto, Ucayali and Madre de Dios, in order to conserve the Peruvian Amazon.

This publication is made possible with the support of the American people through USAID. Its content is the sole responsibility of the authors and does not necessarily reflect the views of USAID or the US government.

This work was also supported by NORAD (Norwegian Agency for Development Cooperation), ICFC (International Conservation Fund of Canada), and EROL Foundation.

 

Citation

Finer M, Mamani N (2021) New Illegal Gold Mining Hotspot in Peruvian Amazon – Pariamanu. MAAP: 137.

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MAAP #134: Agriculture And Deforestation In The Peruvian Amazon

Peru’s first National Agricultural Area Map. Source: MIDAGRI.
Peru’s first National Agricultural Area Map. Source: MIDAGRI.

For the first time, Peru has a detailed National Agricultural Area Map.

This unique map, produced with high-resolution satellite imagery, was published by the Peruvian Ministry of Agrarian Development (MIDAGRI) in January.*

This map reveals that the agricultural area at the national level is 11.6 million hectares, as of 2018.

Here, we analyze this new information in relation to annual forest loss data, generated by the Peruvian Environment Ministry (Geobosques).

The goal is to better understand the critical link between agriculture and deforestation in the Peruvian Amazon.

Specifically, we analyze the agricultural area of 2018 in relation to the preceding forest loss between 2001 and 2017.

Below are two main sections:

First, we present our Base Map that illustrates the major results.

Second, we show a series of zoomed images of select areas to illustrate key results in detail. These areas include major deforestation events related to oil palm, cacao, and other crops.

 

 

Base Map showing our major results. Data: MAAP, MIDAGRI, MINAM/Geobosques. Double click to enlarge.
Base Map showing our major results. Data: MAAP, MIDAGRI, MINAM/Geobosques. Double click to enlarge.

Major Results

  • We found that 43% (4.9 million hectares) of Peru’s total agricultural area in 2018 was located in the Amazon basin.
  • Of these Amazonian agricultural areas, more than 1.1 million hectares (24%) came from forest lost between 2001 and 2017 (indicated in red on the Base Map).
  • Expressed another way, over half (56%) of the forest loss in the Peruvian Amazon between 2001 and 2017 corresponds to an agricultural area in 2018.
  • The Base Map also shows, in brown, the agricultural area that is not linked to recent forest loss. The vast majority is located outside the Amazon basin (western Peru).
  • Finally, the Base Map shows, in black, the recent forest loss not linked to agriculture. Much of this loss corresponds to gold mining (southeastern Peru), logging roads, and natural loss such as landslides.

Zooms of Key Areas

A. United Cacao (Loreto)

Image A shows the large-scale deforestation associated with the company United Cacao between 2013 and 2016, in the Loreto region  (MAAP # 128). The clearing, as the name indicates, was for the installation of Peru’s first and only industrial-style cacao plantation. In total, the deforestation for the plantation reached 2,380 hectares.

Zoom A. United Cacao (Loreto region). Data: MAAP, MIDAGRI, MINAM/Geobosques.
Zoom A. United Cacao (Loreto region). Data: MAAP, MIDAGRI, MINAM/Geobosques.

B. Oil Palm (Shanusi, Loreto)

Image B shows the large-scale deforestation of more than 16,800 hectares associated with oil palm plantations between 2006 and 2015, along the border of the Loreto and San Martin regions (MAAP #116). Of this total, the deforestation of 6,975 hectares was linked to two plantations managed by the company Grupo Palmas company. The remainder occurred in the private areas surrounding the company’s plantations.

Zoom B. Oil palm deforestation around Shanusi (Loreto region). Data: MAAP, MIDAGRI, MINAM/Geobosques.
Zoom B. Oil palm deforestation around Shanusi (Loreto region). Data: MAAP, MIDAGRI, MINAM/Geobosques.

C. Oil Palm (Ucayali)

Image C shows the large-scale deforestation of more than 12,000 hectares for two oil palm plantations between 2011 and 2015, in the Ucayali region (MAAP #41).

Zoom C. Oil palm deforestation (Ucayali region). Data: MAAP, MIDAGRI, MINAM/Geobosques.
Zoom C. Oil palm deforestation (Ucayali region). Data: MAAP, MIDAGRI, MINAM/Geobosques.

D. Iberia (Madre de Dios)

Image D shows the expanding agriculture-related deforestation around the town of Iberia, near the border with Brazil and Bolivia (MAAP #75). The major cause, according to local sources, is the increase in corn, papaya, and cacao plantations. We have documented the deforestation of more than 3,000 hectares in this area since 2014.

Zoom D. Agriculture related deforestation around Iberia (Madre de Dios region). Data: MAAP, MIDAGRI, MINAM/Geobosques.
Zoom D. Agriculture related deforestation around Iberia (Madre de Dios region). Data: MAAP, MIDAGRI, MINAM/Geobosques.

E. Zona Minera (Madre de Dios)

Finally, Image E shows deforestation in the gold mining hotspot known as La Pampa, in the Madre de Dios region. The non-agricultural deforestation in the center is the major illegal gold mining front. Around that area, and along the Interoceanic Highway, there is extensive agriculture-related deforestation.

Zoom E. Mining and agriculture deforestation in southern Peru (Madre de Dios region). Data: MAAP, MIDAGRI, MINAM/Geobosques.
Zoom E. Mining and agriculture deforestation in southern Peru (Madre de Dios region). Data: MAAP, MIDAGRI, MINAM/Geobosques.

*Notes and Methodology

According to MIDAGRI, the National Agricultural Area Map was “generated based on satellite images from RapidEye and later updated with satellite images from Sentinel-2 and the Google Earth platform, which allowed the mapping and precise measurement of the agricultural surface throughout the national territory.”

The data include “agricultural land with cultivation and without cultivation.” We assume that these data include cattle pasture.

The identification and quantification of deforested areas (2001-2017) that correspond to agricultural area in 2018 results from the analysis carried out in GIS by the superposition of both geospatial layers (MINAM and MIDAGRI).

Amazonian agricultural areas that came from forest lost between 2001 and 2017 = 1,185,722 hectares (indicated in red on the Base Map).

Acknowledgments

We thank E. Ortiz (AAF), S. Novoa (ACCA) and G. Palacios for their helpful comments on this report.

Citation

Vale Costa H, Finer M (2021) Agriculture and Deforestation in the Peruvian Amazon. MAAP: 134.

MAAP #133: Deforestation Continues In National Parks Of Colombian Amazon

Base Map. Deforestation 2020-21 in the National Parks of the Colombian Amazon. Data: MAAP.
Base Map. Deforestation 2020-21 in the National Parks of the Colombian Amazon. Data: MAAP.

As we have indicated in previous reports (MAAP #120), there is an “arc of deforestation” in the northwest Colombian Amazon, impacting numerous protected areas and indigenous reserves.

Here, we emphasize that this deforestation currently impacts four National Parks: Tinigua, Macarena, Chiribiquete and La Paya.

In the Base Map, the red circles indicate the areas most impacted by recent deforestation within these parks.

The letters (A-D) indicate the location of the high-resolution satellite images (Planet) below.

While Tinigua and Macarena continue as the most impacted National Parks, below we focus on the new deforestation fronts in Chiribiquete and La Paya.

Specifically, we show the most recent and urgent deforestation, since September 2020 to the present (February 2021).

 

 

Chiribiquete National Park

Chiribiquete National Natural Park lost more than 1,000 hectares (2,500 acres) in the last six months, in six different areas of the park (see Base Map above). Much of this deforestation appears to be associated with the conversion of primary forest to illegal cattle pasture. The following satellite images show deforestation in three of these areas (A-C) between September 2020 (left panel) and February 2021 (right panel). *It is important to note that immediately prior to this publication authorities carried out a major intervention to crack down on the illegal activity within the park (see news here).

Image A. Deforestation in Chiribiquete National Park, western sector 1. Reference coordinate: 1.05497 ° N, 74.26465 ° W. Data: Planet, MAAP.
Image A. Deforestation in Chiribiquete National Park, western sector 1. Reference coordinate: 1.05497 ° N, 74.26465 ° W. Data: Planet, MAAP.
Image B. Deforestation in Chiribiquete National Park, western sector 2. Reference coordinate: 1.57990 ° N, 73.78689 ° W. Data: Planet, MAAP.
Image B. Deforestation in Chiribiquete National Park, western sector 2. Reference coordinate: 1.57990 ° N, 73.78689 ° W. Data: Planet, MAAP.
Image C. Deforestation in Chiribiquete National Park, northern sector 1. Reference coordinate: 2.00975, -73.45541. Data: Planet, MAAP.
Image C. Deforestation in Chiribiquete National Park, northern sector 1. Reference coordinate: 2.00975, -73.45541. Data: Planet, MAAP.

 

La Paya National Park

La Paya National Park lost more than 150 hectares (370 acres) in the last six months, in the northwest sector of the park (see Base Map above).
.
The following image shows an example of deforestation in this sector of the park between September 2020 (left panel) and January 2021 (right panel).

Image D. Deforestation in La Paya National Park, northern sector. Reference coordinate: 0.39677 ° N, 75.48505 ° W. Data: Planet, MAAP.
Image D. Deforestation in La Paya National Park, northern sector. Reference coordinate: 0.39677 ° N, 75.48505 ° W. Data: Planet, MAAP.

Fire Season

In addition, the fire season has started in the Colombian Amazon. Interestingly, now (February to March) is typically Colombia’s peak deforestation and fire season, in contrast with Brazil, Bolivia, and Peru, whose seasons peak between June and October.

The following very high-resolution images (Skyat) reveal the burning of recently deforested areas within Chiribiquete National Park.

Fire inside Chiribuete National Park (February 11, 2021) burning recently deforested areas. Data: Planet (Skysat).
Fire inside Chiribuete National Park (February 11, 2021) burning recently deforested areas. Data: Planet (Skysat).
Zoom of fire inside Chiribuete National Park (February 11, 2021) burning recently deforested areas. Data: Planet (Skysat).
Zoom of fire inside Chiribuete National Park (February 11, 2021) burning recently deforested areas. Data: Planet (Skysat).

Acknowledgmens

We thank R. Botero (FCDS) and G. Palacios for their helpful comments on this report.

Citation

Finer M, Mamani N (2021) Deforestation Continues in National Parks of Colombian Amazon. MAAP: 133.

 

MAAP #132: Amazon Deforestation Hotspots 2020

We present a first look at the major hotspots of primary forest loss across the Amazon in 2020 (see Base Map).*

Base Map. Forest loss hotspots across the Amazon in 2020. Data: UMD/GLAD, RAISG, MAAP. The letters A-G correspond to the zoom examples below.
Base Map. Forest loss hotspots across the Amazon in 2020. Data: UMD/GLAD, RAISG, MAAP. The letters A-G correspond to the zoom examples below.

There are several major headlines:

  • We estimate over 2 million hectares (5 million acres) of primary forest loss across the nine countries of the Amazon in 2020.*
  • The countries with the highest 2020 primary forest loss are 1) Brazil, 2) Bolivia, 3) Peru, 4) Colombia, 5) Venezuela, and 6) Ecuador.
  • The majority of the hotspots occurred in the Brazilian Amazon, where massive deforestation stretched across nearly the entire southern region. Many of these areas were cleared in the first half of the year and then burned in July and August. In September, there was a shift to actual forest fires (see MAAP #129).
  • Several of the most intense hotspots were in the Bolivian Amazon, where fires raged through the dry forests (known as the Chiquitano) in the southeast region.
  • There continues to be an arc of deforestation in the northwestern Colombian Amazon, impacting numerous protected areas.
  • In the Peruvian Amazon, deforestation continues to impact the central region. On the positive, the illegal gold mining that plagued the southern region has decreased thanks to effective government action (see MAAP #130).

Below, we show a striking series of high-resolution satellite images that illustrate some of the major deforestation events across the Amazon in 2020 (indicated A-G on the Base Map).

 

 

Widespread Deforestation in the Brazilian Amazon

Zooms A-C show examples of a troublingly common phenomenon in the Brazilian Amazon: large-scale deforestation events in the first half of the year that are later burned in July and August, causing major fires due to the abundant recently-cut biomass. Much of the deforestation in these areas appears to associated with clearing rainforests for cattle pastures. The three examples below show the striking loss of over 21,000 hectares of primary forest in 2020.

Zoom A. Deforestation in the Brazilian Amazon (Amazonas state) of 3,400 hectares between April (left panel) and November (right panel) 2020. Data: ESA, Planet.
Zoom A. Deforestation in the Brazilian Amazon (Amazonas state) of 3,400 hectares between April (left panel) and November (right panel) 2020. Data: ESA, Planet.

 

Zoom B. Deforestation in Brazilian Amazon (Amazonas state) of 2,540 hectares between January (left panel) and November (right panel) 2020. Data: Planet.
Zoom B. Deforestation in Brazilian Amazon (Amazonas state) of 2,540 hectares between January (left panel) and November (right panel) 2020. Data: Planet.

 

Zoom C. Deforestation in Brazilian Amazon (Para state) of 15,250 hectares between January (left panel) and October (right panel) 2020. Data: Planet.
Zoom C. Deforestation in Brazilian Amazon (Para state) of 15,250 hectares between January (left panel) and October (right panel) 2020. Data: Planet.

 

 

Forest Fires in the Brazilian Amazon

In September, there was a shift to actual forest fires in the Brazilian Amazon (see MAAP #129). Zoom D and E show examples of these major forest fires, which burned over 50,000 hectares in the states of Pará and Mato Grosso. Note both fires impacted indigenous territories (Kayapo and Xingu, respectively).

Zoom D. Forest fire in Brazilian Amazon (Para state) that burned 9,000 hectares between March (left panel) and October (right panel) 2020. Data: Planet.
Zoom D. Forest fire in Brazilian Amazon (Para state) that burned 9,000 hectares between March (left panel) and October (right panel) 2020. Data: Planet.
Zoom E. Forest fire in Brazilian Amazon (Mato Grosso state) that burned over 44,000 hectares between May (left panel) and October (right panel) 2020. Data: Planet.
Zoom E. Forest fire in Brazilian Amazon (Mato Grosso state) that burned over 44,000 hectares between May (left panel) and October (right panel) 2020. Data: Planet.

Forest Fires in the Bolivian Amazon

The Bolivian Amazon also experienced another intense fire season in 2020. Zoom F shows the burning of a massive area (over 260,000 hectares) in the Chiquitano dry forests (Santa Cruz department).

Zoom F. Forest fire in Bolivian Amazon (Santa Cruz) that burned over 260,000 hectares between April (left panel) and November (right panel) 2020. Data: ESA.
Zoom F. Forest fire in Bolivian Amazon (Santa Cruz) that burned over 260,000 hectares between April (left panel) and November (right panel) 2020. Data: ESA.

Arc of Deforestation in the Colombian Amazon

As described in previous reports (see MAAP #120), there is an “arc of deforestation” concentrated in the northwest Colombian Amazon. This arc impacts numerous protected areas (including national parks) and Indigenous Reserves. For example, Zoom G shows the recent deforestation of over 500 hectares in Chiribiquete National Park. Similar deforestation in that sector of the park appears to be conversion to cattle pasture.

Zoom G. Deforestation in Colombian Amazon of over 500 hectares in Chiribiqete National Park between January (left panel) and December (right panel) 2020. Data: ESA, Planet.
Zoom G. Deforestation in Colombian Amazon of over 500 hectares in Chiribiqete National Park between January (left panel) and December (right panel) 2020. Data: ESA, Planet.

Deforestation in the central Peruvian Amazon

Finally, Zoom H shows expanding deforestation (over 110 hectares), and logging road construction (3.6 km), in an indigenous territory south of Sierra del Divisor National Park in the central Peruvian Amazon (Ucayali region). The deforestation appears to be associated with an expanding small-scale agriculture or cattle pasture frontier.

Zoom H. Deforestation and logging road construction in Peruvian Amazon (Ucayali region) between March (left panel) and November (right panel) 2020. Data: Planet.
Zoom H. Deforestation and logging road construction in Peruvian Amazon (Ucayali region) between March (left panel) and November (right panel) 2020. Data: Planet.

*Notes and Methodology

The analysis was based on early warning forest loss alerts known as GLAD alerts (30-meter resolution) produced by the University of Maryland and also presented by Global Forest Watch. It is critical to highlight that this data represents a preliminary estimate and more definitive data will come later in the year. For example, our estimate does include some forest loss caused by natural forces. Note that this data detects and classifies burned areas as forest loss. Our estimate includes both confirmed (1,355,671 million hectares) and unconfirmed (751,533 ha) alerts.

Our geographic range is the biogeographic boundary of the Amazon as defined by RAISG (see Base Map above). This range includes nine countries.

We applied a filter to calculate only primary forest loss. For our estimate of primary forest loss, we intersected the forest cover loss data with the additional dataset “primary humid tropical forests” as of 2001 (Turubanova et al 2018). For more details on this part of the methodology, see the Technical Blog from Global Forest Watch (Goldman and Weisse 2019).

To identify the deforestation hotspots, we conducted a kernel density estimate. This type of analysis calculates the magnitude per unit area of a particular phenomenon, in this case forest cover loss. We conducted this analysis using the Kernel Density tool from Spatial Analyst Tool Box of ArcGIS. We used 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.

For the Base Map, we used the following concentration percentages: Medium: 7-10%; High: 11-20%; Very High: >20%.

Acknowledgements

We thank E. Ortiz (AAF), M.E. Gutierrez (ACCA), and S. Novoa for their helpful comments on this report.

Citation

Finer M, Mamani N (2020) Amazon Deforestation Hotspots 2020. MAAP: 132.

 

MAAP #131: Power Of Free High-resolution Satellite Imagery From Norway Agreement

This report demonstrates the powerful application of freely available, high-resolution satellite imagery recently made possible thanks to an agreement between the Government of Norway and several satellite companies.*

This unprecedented agreement will bring commercial satellite technology, previously out of reach to many, to all working in tropical forest conservation around the world.

Here we show how MAAP (an initiative of Amazon Conservation) will use this information to enhance our real-time monitoring program and quickly share timely findings to partners in the field.

Specifically, we highlight the importance of the monthly basemaps (4.7-meter Planet imagery) available under the Norway agreement.* For example, Image 1 shows the stunning, nearly cloud-free October 2020 basemap across the Amazon.

Image 1. Monthly Planet basemap for October 2020 across the Amazon, as seen on Global Forest Watch.
Image 1. Monthly Planet basemap for October 2020 across the Amazon, as seen on Global Forest Watch.
Moreover, we show the power of this imagery visualized on Global Forest Watch, where it can be combined with early warning forest loss alerts.
Below, we highlight three examples where we combined this data to quickly detect and confirm deforestation in the Colombian, Ecuadorian, and Peruvian Amazon, respectively.

Colombian Amazon

First, we detected recent forest loss alerts (known as GLAD alerts), in the northwestern sector of Chiribiquete National Park. Image 2 is a screen shot of our monitoring search in Global Forest Watch (link here).

Second, we investigated the alerts with the freely available monthly Planet basemaps. Images 3-5 show the basemaps from October to December 2020. These images confirm that the area was covered in intact (likely primary) Amazon rainforest in October, and then experienced a major deforestation event (225 hectares) in November and December. Similar deforestation in the area appears to be conversion to cattle pasture. Note the crosshairs (+) represent the same point in all four images.

Image 2. Forest loss alerts in Chiribiquete National Park
Image 2. Forest loss alerts in Chiribiquete National Park

 

Image 3. Monthly Planet basemap for October 2020 in Chiribiquete National Park.
Image 3. Monthly Planet basemap for October 2020 in Chiribiquete National Park.

 

Image 4. Monthly Planet basemap for November 2020 in Chiribiquete National Park.
Image 4. Monthly Planet basemap for November 2020 in Chiribiquete National Park.

 

Image 5. Monthly Planet basemap for December 2020 in Chiribiquete National Park.
Image 5. Monthly Planet basemap for December 2020 in Chiribiquete National Park.

 

Peruvian Amazon

Similarly, we detected recent forest loss alerts in an illegal gold mining area in the southern Peruvian Amazon known as Pariamanu (Image 6). Images 7 & 8 show the monthly basemaps confirming the expansion of illegal mining deforestation between October and December (see yellow arrows). Global Forest Watch link here

Image 6. Forest loss alerts in illegal gold mining zone (Pariamanu).
Image 6. Forest loss alerts in illegal gold mining zone (Pariamanu).

 

Image 7. Monthly Planet basemap for October 2020 in Pariamanu.
Image 7. Monthly Planet basemap for October 2020 in Pariamanu.

 

Image 8. Monthly Planet basemap for October 2020 in Pariamanu.
Image 8. Monthly Planet basemap for October 2020 in Pariamanu.

 

 

Ecuadorian Amazon

Finally, we detected recent forest loss alerts of 100 hectares in an indigenous territory (Kichwa) surrounding an oil palm plantation in the Ecuadorian Amazon (Image 9). Images 10 & 11 show the monthly basemaps confirming large-scale deforestation between September and December, likely for the expansion of the plantation. Note the crosshairs (+) represents the same point in all three images. Global Forest Watch link here.
Image 9. Forest loss alerts in the Ecuadorian Amazon.
Image 9. Forest loss alerts in the Ecuadorian Amazon.
Image 10. Monthly Planet basemap for September 2020 in Ecuadorian Amazon.
Image 10. Monthly Planet basemap for September 2020 in Ecuadorian Amazon.

 

Image 11. Monthly Planet basemap for December 2020 in Ecuadorian Amazon.
Image 11. Monthly Planet basemap for December 2020 in Ecuadorian Amazon.

 

Summary

In summary, we show a major advance for free and real-time deforestation monitoring thanks to an agreement between the Government of Norway and satellite companies.* A key aspect of this agreement is making publically available (such as on Global Forest Watch) monthly basemaps created by the innovative satellite company Planet. Thus, users can now freely visualize recent forest loss alerts and then investigate them with high-resolution monthly basemaps on On Global Forest Watch. MAAP illustrated this process with three examples in the Colombian, Peruvian, Ecuadorian Amazon, respectively.

*Notes 

In September 2020, Norway’s Ministry of Climate and Environment entered into a contract with Kongsberg Satellite Services (KSAT) and its partners Planet and Airbus, to provide universal access to high-resolution satellite monitoring of the tropics in order to support efforts to stop the destruction of the world’s rainforests. This effort is led by Norway’s International Climate and Forest Initiative (NICFI). The basemaps are mosaics of the best cloud-free pixels each month. In addition to viewing the monthly basemaps on Global Forest Watch, users can sign up with Planet directly at this link: https://www.planet.com/nicfi/

Acknowledgements

We thank M. Cohen (ACA), M. Weisse (WRI/GFW), E. Ortiz (AAF) and G. Palacios for their helpful comments on this report.

Citation

Finer M, Mamani N (2020) Power of Freely Available, High-resolution Satellite Imagery from Norway Agreement. MAAP: 131.

MAAP #130: Illegal Gold Mining Down 78% In Peruvian Amazon, But Still Threatens Key Areas

As part of USAID’s Prevent Project (dedicated to combating environmental crimes in the Amazon), we conducted an updated analysis of illegal gold mining deforestation in the southern Peruvian Amazon.In early 2019, the Peruvian government launched Operation Mercury, an unprecedented crackdown on the rampant illegal gold mining in the region.The Operation initially targeted an area known as La Pampa, the epicenter of the illegal mining. In 2020, it expanded to surrounding critical areas.

Image 1. Very high resolution image of recent gold mining deforestation along the Pariamanu River. Data: Planet (Skysat).
Image 1. Very high resolution image of recent gold mining deforestation along the Pariamanu River. Data: Planet (Skysat).

In this report, we compare rates of gold mining deforestation before vs after Operation Mercury at six key sites (see Base Map and Methodology below).

We report four major results:

1) Gold mining deforestation decreased 90% in La Pampa (the most critical mining area) following Operation Mercury.

2) Gold mining deforestation increased in three key areas –Apaylon, Pariamanu, and Chaspa – indicating that some miners expelled from La Pampa moved to surrounding areas. The Peruvian government, however, has recently carried out major interventions in all three of these areas.

3) Overall, gold mining deforestation decreased 78% across all six sites following Operation Mercury.

4) Illegal mining does persist, however. We documented 1,115 hectares of gold mining deforestation across all six sites since Operation Mercury (but, compared to 6,490 hectares before the Operation).

Below, we provide a more detailed breakdown of the major results across all six sites. We also present a series of very high resolution satellite images (Skysat) of the recent gold mining deforestation.

 

 

Base Map – 6 Major Illegal Gold Mining Sites

The Base Map illustrates the results across the six major gold mining fronts in the southern Peruvian Amazon. Red indicates gold mining deforestation post Operation Mercury (March 2019 – October 2020), while yellow indicates the pre Operation baseline (January 2017 – February 2019).

Base Map. Major gold mining fronts in the southern Peruvian Amazon before (yellow) and after (red) Operation Mercury. Data: MAAP.
Base Map. Major gold mining fronts in the southern Peruvian Amazon before (yellow) and after (red) Operation Mercury. Data: MAAP.

In La Pampa, we documented the dramatic loss of 4,450 hectares within the buffer zone of Tambopata National Reserve (Madre de Dios region) prior to Operation Mercury. Following the Operation, we confirmed the loss of 300 hectares. Note the main mining front in the core of the buffer zone has essentially been stopped, with most recent activity further north near the Interoceanic Highway.

In neighboring Alto Malinowski, located in the buffer zone of Bahuaja Sonene National Park (Madre de Dios region), we documented the loss of 1,558 hectares prior to Operation Mercury. Following the Operation, we confirmed the loss of 419 hectares.

In Camanti, located in the buffer zone of Amarakaeri Commuanl Reserve, we documented the loss of 336 hectares prior to Operation Mercury. Following the Operation, we confirmed the loss of 105 hectares.

In Pariamanu, located in the primary forests along the Pariamanu River (Madre de Dios region), we documented the loss of 72 hectares prior to Operation Mercury. Following the Operation, we confirmed the loss of 98 hectares. In response, the government conducted a major intervention in August 2020.

In Apaylon, located in the buffer zone Tambopata National Reserve (Madre de Dios region), we documented the loss of 73 hectares prior to Operation Mercury. Following the Operation, we confirmed the loss of 78 hectares. In response, the government has conducted a series of interventions in the area during 2020.

Chaspa, located in the buffer zone of Bahuaja Sonene National Park (Puno region), represents a unique case of a new gold mining front that appeared following Operation Mercury. Starting in September 2019, we documented the deforestation of 113 hectares impacting the Chaspa River watershed. In response, the government conducted a major intervention in October 2020.

 

 

Gold Mining Deforestation Trends

The following chart illustrates that gold mining deforestation fronts decreased following Operation Mercury in the three largest fronts (La Pampa, Alto Malinowski, and Camanti), and increased in three smaller areas (Pariamanu, Apaylon, and Chaspa). Thus, overall gold mining deforestation decreased 78% across all six major sites following Operation Mercury.

Table 1. Rates of gold mining deforestation before (orange) and after (red) Operation Mercury. Data: MAAP.
Table 1. Rates of gold mining deforestation before (orange) and after (red) Operation Mercury. Data: MAAP.

 

In La Pampa, the gold mining deforestation averaged 165 hectares per month prior to Operation Mercury. Following the Operation, the deforestation dropped to 17 hectares per month, an overall 90% decrease.

In Alto Malinowski, the gold mining deforestation dropped from 58 hectares per month to 23 hectares per month following Operation Mercury, an overall 60% decrease.

In Camanti, the gold mining deforestation dropped from 12.5 hectares per month to 6 hectares per month following Operation Mercury, an overall 54% decrease.

In Pariamanu, the gold mining deforestation increased from 2.8 hectares per month to 5 hectares per month following Operation Mercury, an overall 87% increase.

In Apaylon, the gold mining deforestation increased from 2.8 hectares per month to 4 hectares per month following Operation Mercury, an overall 43% increase.

Chaspa, located in the buffer zone of Bahuaja Sonene National Park, represents the unique case of a new gold mining front that appeared following Operation Mercury (8.5 hectares per month).

 

 

Very High Resolution Satellite Imagery (Skysat)

We recently tasked very high resolution satellite imagery (Skysat, 0.5 meter) for the major illegal gold mining areas. Below, we present a series showing some of the highlights from these images. Note that insets (in the upper corner of each image) show the same area before the mining activity (see red points as a reference).

Pariamanu

The following two images show the expansion of new gold mining areas into the primary rainforests near the Pariamanu River (Madre de Dios region).

Image 2. Expansion of new gold mining areas into the primary rainforests near the Pariamanu River (Madre de Dios region). Data: Planet.
Image 2. Expansion of new gold mining areas into the primary rainforests near the Pariamanu River (Madre de Dios region). Data: Planet.

 

Image 3. Expansion of new gold mining areas into the primary rainforests near the Pariamanu River (Madre de Dios region). Data: Planet.
Image 3. Expansion of new gold mining areas into the primary rainforests near the Pariamanu River (Madre de Dios region). Data: Planet.

La Pampa

The following image shows the expansion of a new gold mining area in the northern part of La Pampa.

Image 4. Expansion of a new mining area in the northern part of La Pampa (Madre de Dios region). Data: Planet, Maxar.
Image 4. Expansion of a new mining area in the northern part of La Pampa (Madre de Dios region). Data: Planet, Maxar.

 

 

Chaspa

The following image shows the sudden appearance of a new gold mining front along the Chaspa River (Puno region).

Image 5. New gold mining front along the Chaspa River (Puno region). Data: Planet (Skysat).
Image 5. New gold mining front along the Chaspa River (Puno region). Data: Planet (Skysat).

 

Camanti

The following image shows the recent expansion of gold mining deforestation in the buffer zone of Amarakaeri Communal Reserve (Cusco region).

Image 6. Recent expansion of gold mining deforestation in the buffer zone of Amarakaeri Communal Reserve (Cusco region). Data: Planet (Skysat).
Image 6. Recent expansion of gold mining deforestation in the buffer zone of Amarakaeri Communal Reserve (Cusco region). Data: Planet (Skysat).

 

Methodology

We analyzed high-resolution imagery (3 meters) from the satellite company Planet obtained from their interface Planet Explorer. Based on this imagery, we digitized gold mining deforestation across six major sites: La Pampa, Alto Malinowski, Camanti, Pariamanu, Apaylon, and Chaspa. These were identified as the major active illegal gold mining deforestation fronts based on analysis of automated forest loss alerts generated by University of Maryland (GLAD alerts) and the Peruvian government (Geobosques) and additional land use layers. The area referred to as the “mining corridor” is not included in the analysis because the issue of legality is more complex.

Across these six sites, we identified, digitized, and analyzed all visible gold mining deforestation between January 2017 and the present (October 2020). We defined before Operation Mercury as data from January 2017 to February 2019, and after Operation Mercury as data from March 2019 to the present. Given that the former was 26 months and the latter 20 months, during the analysis the data was standardized as gold mining deforestation per month.

The data is updated through October 2020.

 

Acknowledgments

We thank A. Felix (DAI), S. Novoa (ACCA), and G. Palacios for their helpful comments on this report.

This report was conducted with technical assistance from USAID, via the Prevent project. Prevent is an initiative that is working with the Government of Peru, civil society, and the private sector to prevent and combat environmental crimes in Loreto, Ucayali and Madre de Dios, in order to conserve the Peruvian Amazon.

This publication is made possible with the support of the American people through USAID. Its content is the sole responsibility of the authors and does not necessarily reflect the views of USAID or the US government.

USAID logo

Citation

Finer M, Mamani N (2020) Illegal Gold Mining Down 79% in Peruvian Amazon, But Still Threatens Key Areas. MAAP: 130.

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Amazon Fire Season Intensifies; Shifts to Raging Forest Fires

Forest Fire in the Brazilian Amazon (Mato Grosso). Data: Planet.We have documented 1,650 major fires in the Brazilian Amazon this year, and well over half (60%) have occurred in September.*

We have been detecting around 62 major fires a day during September, relative to 18 in August (and 2 in July).

Moreover, we flag the major spike in Amazon forest fires, defined here as human-caused fires in standing forest.

We found over 700 forest fires, which now account for 43% of all major fires, up from 13% in August (and just 1% in July).

We roughly estimate that 4.6 million acres (1.8 million hectares) have been impacted by these forest fires in the Brazilian Amazon.

The satellite image to the right is just one example of a recent major forest fire in the Brazilian Amazon. Below, for greater context, we show a before and after panel of that same fire.

Many of the major fires (49%) continue to burn recently deforested areas, defined here as areas where the forest was previously and recently cleared (between 2018 and 2020) prior to burning. This percentage, however, was much higher earlier in the fire season (For example, 84% in July).

Check out Mongabay’s real-time Brazilian Amazon fire tracker based on our analysis.

*The data, updated through September 20, is based on our novel real-time Amazon Fires Monitoring app, which is based on the detection of elevated aerosol emissions that indicate the burning of large amounts of biomass (defined here as a “major fire.”

Satellite Images of Amazon Forest Fires

The following high-resolution satellite images (courtesy of Planet) show the before (left panel) and after (right panel) of a recent major fire in the Brazilian Amazon (Mato Grosso state). Further below is another panel zooming out to show the surrounding matrix of forest fires, recently deforested area fires, and cropland fires.

Acknowledgements

The app was developed and updated daily by Conservación Amazónica (ACCA). The data analysis is led by Amazon Conservation in collaboration with SERVIR Amazonia.

 

Citation

Finer M, Vale H, Walker K, Villa L, Nicolau A, Ariñez A  (2020) Amazon Fire Season Continues to Intensify in September. MAAP.

Brazilian Amazon Fires Intensify in September

Although August was severe, early September saw the Brazilian Amazon fires intensify even more.

September shot up to an average of 53 major fires per day across the Brazilian Amazon, up from 18 in August (and 2 in July).*

In addition, the surrounding Pantanal, the world’s largest tropical wetlands, is experiencing unprecedented fires.

The Base Map shows major fires scattered across the Brazilian Amazon in relation to the huge fire complex to the south in the Pantanal, as seen in our novel real-time fire monitoring app from early September.

Base Map. Amazon fires in relation to Pantanal fires as seen in our Real-time Amazon Fire Monitoring app (September 6). Red indicates most severa fires. Data: MAAP/ACCA.
Base Map. Amazon fires in relation to Pantanal fires as seen in our Real-time Amazon Fire Monitoring app (September 6). Red indicates most severa fires. Data: MAAP/ACCA.

Red indicates the most intense fires burning the highest levels of biomass.

Overall, we have now detected 963 major fires this year in the Brazilian Amazon with the app.

*Data updated through September 7, 2020.

 

Increase in Amazon Forest Fires

Also noteworthy is the major spike in Amazon forest fires, defined here as human-caused fires in standing forest. Forest fires now account for a striking 27% of all major fires, up from 13% in August (and 1% in July).

An estimated 896,000 acres (362,000 hectares) have been impacted  by these Amazon forest fires.

The majority of the major fires (66%) continue to burn recently deforested areas, defined here as areas where the forest was previously and recently cleared (between 2018-20) prior to burning.

In fact, over 1.3 million acres (540,000 hectares) of recently deforested areas has burned in 2020.

A major forest fire in the Brazilian Amazon (Mato Grosso) on September 6, 2020. Data: Planet. Analysis: MAAP/ACCA, SERVIR.
A major forest fire in the Brazilian Amazon (Mato Grosso) on September 6, 2020. Data: Planet. Analysis: MAAP/ACCA, SERVIR.

Thus, most of the fires are actually a smoking indicator of the current rampant deforestation in the Brazilian Amazon.

 

Protected Areas and Indigenous Territories

We also must highlight that we have detected 80 major fires in protected areas and indigenous territories of the Brazilian Amazon. The most impacted areas are the Xingu and Kayapó indigenous territories, and Jamanxim National Forest.

Major Fires (orange dots) within and around indigenous territories (bright green) and protected areas (light green) in the eastern Brazilian Amazon. Data: MAAP.
Major Fires (orange dots) within and around indigenous territories (bright green) and protected areas (light green) in the eastern Brazilian Amazon. Data: MAAP.

 

*Notes and Methodology

Our novel Real-time Amazon Fire Monitoring app

Data updated as of September 7, starting from the first major fire detected on May 28.

We detected 569 major fires during August in the Brazilian Amazon.

Prior to August, we detected only one forest fire, and that was on July 31.

The app specializes in filtering out thousands of the traditional heat-based fire alerts to prioritize only those burning large amounts of biomass (defined here as a major fire).

In a novel approach, the app combines data from the atmosphere (aerosol emissions in smoke) and the ground (heat anomaly alerts) to effectively detect and visualize major Amazon fires.

When fires burn, they emit gases and aerosols. A new satellite (Sentinel-5P from the European Space Agency) detects these aerosol emissions. Thus, the major feature of the app is detecting elevated aerosol emissions which in turn indicate the burning of large amounts of biomass. For example, the app distinguishes small fires clearing old fields (and burning little biomass) from larger fires burning recently deforested areas or standing forest (and burning lots of biomass).

We define “major fire” as one showing elevated aerosol emission levels on the app, thus indicating the burning of elevated levels of biomass. This typically translates to an aerosol index of >1 (or cyan-green to red on the app). To identify the exact source of the elevated emissions, we reduce the intensity of aerosol data in order to see the underlying terrestrial heat-based fire alerts. Typically for major fires, there is a large cluster of alerts. The major fires are then confirmed, and burn areas estimated, using high-resolution satellite imagery from Planet Explorer.

See MAAP #118 for additional details on how to use the app.

No fires permitted in the Brazilian state of Mato Grosso after July 1, 2020. No fires permitted in all of Brazilian Amazon after July 15, 2020. Thus, we defined “illegal” as any major fires detected after these respective dates.

A major fire may be classified as burning across multiple land categories (for example, both recently deforested area and surrounding forest fire) so those percentages do not total 100%.

There was no available Sentinel-5 aerosol data on July 4, 15, and 26.

 

Acknowledgements

The app was developed and updated daily by Conservación Amazónica (ACCA). The data analysis is led by Amazon Conservation in collaboration with SERVIR Amazonia.

 

Citation

Finer M, Vale H, Villa L, A. Ariñez, Nicolau A, Walker K (2020) Brazilian Amazon Fires Intensify in September. MAAP.

Amazon Fire Tracker 2020: End Of August Update (Over 600 Major Fires)

August 2020 just ended its run as a severe Amazon fire month.

Brazilian Amazon Major Fire #584, August 2020. Data: Planet. Analysis: MAAP.Our novel Real-time Amazon Fire Monitoring app has detected 646 major fires in the Brazilian Amazon thus far in 2020.*

Of these, 88% (569 major fires) occurred in August,* and all were illegal, occuring after the burning moratoriums established in July.

Also in August, we saw the sudden appearance of “Forest Fires,” defined here as human-caused fires in standing forest. We detected 82 forest fires in August, which now account for 13% of all the major fires.*

The vast majority of the major fires (79%) continue to burn recently deforested areas, defined here as areas where the forest was previously and recently cleared (between 2018-20) prior to burning.

In fact, over 1.1 million acres (453,000 hectares) of recently deforested areas has burned in 2020. Thus, the fires are actually a smoking indicator of the current rampant deforestation in the Brazilian Amazon.

Base Map

The Base Map is a screen shot of the app’s “Major Amazon Fires 2020” layer (as of September 1). The majority of the major fires in the Brazilian Amazon have been in the states of Pará (37%) and Amazonas (33%), followed by Mato Grosso (16%), Rondônia (13%), and Acre (1%).

The app has detected an additional 58 major fires in the Bolivian Amazon thus far in 2020. The majority of these (71%) have occured in savanna ecosystems in the department of Beni.

Screen shot of the app’s “Major Amazon Fires 2020” layer (as of September 1).
Screen shot of the app’s “Major Amazon Fires 2020” layer (as of September 1).

*Notes and Methodology

Data updated as of September 1, starting from the first major fire detected on May 28.

We detected 569 major fires during August in the Brazilian Amazon.

Prior to August, we detected only one forest fire, and that was on July 31.

The app specializes in filtering out thousands of the traditional heat-based fire alerts to prioritize only those burning large amounts of biomass (defined here as a major fire).

In a novel approach, the app combines data from the atmosphere (aerosol emissions in smoke) and the ground (heat anomaly alerts) to effectively detect and visualize major Amazon fires.

When fires burn, they emit gases and aerosols. A new satellite (Sentinel-5P from the European Space Agency) detects these aerosol emissions. Thus, the major feature of the app is detecting elevated aerosol emissions which in turn indicate the burning of large amounts of biomass. For example, the app distinguishes small fires clearing old fields (and burning little biomass) from larger fires burning recently deforested areas or standing forest (and burning lots of biomass).

We define “major fire” as one showing elevated aerosol emission levels on the app, thus indicating the burning of elevated levels of biomass. This typically translates to an aerosol index of >1 (or cyan-green to red on the app). To identify the exact source of the elevated emissions, we reduce the intensity of aerosol data in order to see the underlying terrestrial heat-based fire alerts. Typically for major fires, there is a large cluster of alerts. The major fires are then confirmed, and burn areas estimated, using high-resolution satellite imagery from Planet Explorer.

See MAAP #118 for additional details on how to use the app.

No fires permitted in the Brazilian state of Mato Grosso after July 1, 2020. No fires permitted in all of Brazilian Amazon after July 15, 2020. Thus, we defined “illegal” as any major fires detected after these respective dates.

A major fire may be classified as burning across multiple land categories (for example, both recently deforested area and surrounding forest fire) so those percentages do not total 100%.

There was no available Sentinel-5 aerosol data on July 4, 15, and 26.

 

Acknowledgements

The app was developed and updated daily by Conservación Amazónica (ACCA). The data analysis is led by Amazon Conservation in collaboration with SERVIR Amazonia.

 

Citation

Finer M, Vale H, Villa L, A. Ariñez, Nicolau A, Walker K (2020) Amazon Fire Tracker 2020: End of August Update (Over 600 Major Fires). MAAP.

MAAP #124: Deforestation Hotspots 2020 In The Peruvian Amazon

Base Map. 2020 Forest Loss Hotspots in the Peruvian Amazon. Data: UMD/GLAD, MAAP, SERNANP.

We have entered the peak deforestation season in the Peruvian Amazon, so it is also a critical time for real-time monitoring (MAAP’s specialty).

Here, we highlight the major deforestation events documented so far in 2020 (through August 23).

The Base Map shows the current forest loss hotspots, indicated by the colors yellow, orange and red.

Below, we present the most urgent deforestation cases, caused by gold mining and agriculture (both large and small scale), the current leading deforestation drivers in Peru.

The Letters A-I on the Base Map correspond to the location of the cases described below.

One of the key cases is the new illegal gold mining hotspot along the Pariamanu river (Letter A in the southern Peruvian Amazon).

Another important case is the expanding large-scale agriculture by a Mennonite colony that continues causing an alarming deforestation.

The other cases deal with small-scale agriculture, which cumulatively represent the main deforestation driver in Peru.

Urgent Deforestation Cases 2020

1. Gold Mining

In MAAP #121, we reported that, in general, gold mining deforestation has decreased in the southern Peruvian Amazon following the government’s Operation Mercury, but it does continue in several critical areas. The images below show two of these areas (Pariamanu and Araza) with alarming new deforestation in 2020.

A. Pariamanu

The following image shows the gold mining deforestation of 52 acres (21 hectares) of primary forest along the Pariamanu River in the southern Peruvian Amazon (Madre de Dios region) between January (left panel) and August (right panel) of 2020. We highlight that the Peruvian government has just carried out an operation against the illegal mining activity in this area.

Pariamanu case (illegal gold mining). Data: Planet, MAAP.

B. Araza

The following image shows the gold mining deforestation of 114 acres (46 hectares) along the Chaspa River in the Puno region, between January (left panel) and August (right panel) of 2020.

Araza case. Data: Planet, MAAP.

 

2. Large-scale Agriculture

C. Mennonite Colony (near Tierra Blanca)

We reported last year that a new colony of Mennonites caused the deforestation of 4,200 acres (1,700 hectares) between 2017 and 2019 in the Loreto region (MAAP #112). The following image shows the additional deforestation of 820 acres (332 hectares) in 2020 between January (left panel) and August (right panel).

Mennonite case (near Tierra Blanca). Data: Planet, MAAP.

 

3. Small-scale Agriculture

D. Jeberos

In 2018, we reported on the construction of a new road (65 km) cutting through primary forest in the Loreto region, between the city of Yurimaguas and the town of Jeberos (MAAP #84). The following image shows the deforestation of 40 acres (16 hectares) along the new road in 2020, between January (left panel) and August (right panel).

Jeberos case (near Tierra Blanca). Data: Planet, MAAP.

E. Las Piedras

The following image shows the deforestation of 64 acres (26 hectares) of primary forest in a Brazil-nut concession along the Las Piedras River in the Madre de Dios region, between November 2019 (left panel) and August 2020 (right panel).

Las Piedras case. Data: Planet, MAAP.

F. Bolognesi

The following image shows an example of deforestation (580 acres or 235 hectares) in one of the areas with the highest concentration of forest loss, located in the Ucayali region.

Bolognesi case. Data: Planet, MAAP.

G. Santa Maria de Nieva

The following image shows an example of deforestation(346 acres or 140 hectares) in another one of the areas with the highest concentration of forest loss, located in the Amazonas region

Santa Maria de Nieva case. Data: Planet, MAAP.

H. Mishahua River

The following image shows the recent deforestation of 168 acres (68 hectares) along the Mishahua River, in the Ucayali region. Just to the north, we documented extensive deforestation along the Sepahua River in 2019, where it also appears to be starting up again in 2020.

Mishahua case. Data: Planet, MAAP.

I. South of Sierra del Divisor National Park

The following image shows an example of deforestation (166 acres or 67 hectares) in another one of the areas with the highest concentration of forest loss, located south of the Sierra del Divisor National Park in the Ucayali region.

Mishahua case. Data: Planet, MAAP.

Methodology

The analysis was based on early warning GLAD alerts from the Universidad de Maryland and Global Forest Watch.

To identify the deforestation hotspots, we conducted a kernel density estimate. This type of analysis calculates the magnitude per unit area of a particular phenomenon, in this case, forest cover loss. We conducted this analysis using the Kernel Density tool from Spatial Analyst Tool Box of ArcGIS. We used 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.

For the Base Map, we used the following concentration percentages: Medium: 7-10%; High: 11-20%; Very High: >20%.

Acknowledgments

We thank S. Novoa and G. Palacios for helpful comments to earlier versions of this report.

This work was supported by the following major funders: Erol Foundation, Norwegian Agency for Development Cooperation (NORAD), and International Conservation Fund of Canada (ICFC).

Citation

Finer M, Mamani N (2020) Deforestation Hotspots 2020 in the Peruvian Amazon. MAAP: 124.