Maap #90: Using Drones To Monitor Deforestation And Illegal Logging

Maap #90: Using Drones To Monitor Deforestation And Illegal Logging

Drone types- helicopter and fixed-wing (plane)
Drone types- helicopter and fixed-wing (plane)

For the past three years, the organization Amazon Conservation has been working to establish a sustainable, local-based drones program for environmental monitoring in the southern Peruvian Amazon (Madre de Dios region).

This program is based on two types of drones, multi-rotor (helicopter style) and fixed-wing (airplane style).

One of the main objectives is to improve the near real-time monitoring of deforestation and illegal logging.

The monitoring is currently focused on three priority areas: 1) Brazil nut concessions, 2) forestry concessions of the local association ACOMAT, and 3) along the Interoceanic Highway (see Base Map).

Below, we show a series of drone images that we have used to identify the drivers of recent deforestation events. These drivers include gold mining, agriculture, illegal logging, cattle pasture, and natural forest loss.

Base Map. Priority areas of the Amazon Conservation drones initiative.
Base Map. Priority areas of the Amazon Conservation drones initiative.

Interoceanic Highway

In March 2018, in collaboration with the organization ProPurús, we realized drone flights along the Interoceanic Highway in an effort to demonstrate the possible threats of building a new road along the border with Brazil (see MAAP #76). The following images show the two main threats to the area: gold mining and small/medium-scale agriculture (<50 hectares).

Image A. Drone image- gold mining.
Image A. Drone image- gold mining.
B. Drone image- Deforestation from agriculture (corn)
B. Drone image- Deforestation from agriculture (corn)

Brazil Nut Concessions

In 2018, Amazon Conservation launched a new project, funded by Google Challenge, to develop a monitoring program for Brazil nut concessions covering a million hectares (2.47 million acres) in southern Peru. For example, the following image shows the invasion of a papaya plantation that caused the recent deforestation of five acres inside a concession.

C. Drone image- Invasion of papaya in Brazil nut concession.
C. Drone image- Invasion of papaya in Brazil nut concession.

ACOMAT Forestry Concessions

Since 2017, Amazon Conservation has been working on a project, financed by the Norwegian Agency for Development Cooperation (NORAD), to improve the monitoring of forest concessions of the local association ACOMAT (Association of Timber and Non-Timber Forest Concessionaires of the Provinces from Manu and Tambopata). The following images show examples of forest loss and degradation due to illegal logging, cattle grazing, natural loss (windstorm), and gold mining.

D. Drone image- illegal logging.
D. Drone image- illegal logging.
E. Drone image- cattle pasture.
E. Drone image- cattle pasture.
F. Drone image- natural forest loss from windstorm.
F. Drone image- natural forest loss from windstorm.
G. Drone image- gold mining.
G. Drone image- gold mining.

Citation

Garcia R, Novoa S, Castañeda C, Rengifo P, Jimenez M, Finer M (2018) Using Drones to monitor Deforestation and Illegal Logging. MAAP: 90.

MAAP #89: Impacts Of Mining Project “Mirador” In The Ecuadorian Amazon

“Mirador” mining project in 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.

https://maaproject.org/mirador-ecuador/

MAAP #88: Deforestation Hotspots In The Ecuadorian Amazon

Deforestation Hotspots in the Ecuadorian Amazon

Hotspots de deforestación en la Amazonía EcuatorianaHere, we highlight deforestation hotspots, the areas with the highest deforestation densities, in the mega-diverse Ecuadorian Amazon.

We then zoom in and focus on a dynamic area in the north that is located between three important protected areas (Sumaco, Yasuní y Cuyabeno).

We show a series of satellite images that indicate that the primary deforestation drivers (causes) in these hotspots are oil palm and other agricultural activities.

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

MAAP #88: Deforestation Hotspots in the Ecuadorian Amazon
https://maaproject.org/ecuador-hotspots/

MAAP #87: Gold Mining Deforestation Continues In The Peruvian Amazon

Eastward expansion of La Pampa gold mining. Source: Planet
Eastward expansion of La Pampa gold mining. Source: 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
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_1
Zoom de La Pampa. Datos- Planet, MAAP_1

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.


 

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.

Camera Traps: Continuing the Monitoring of Forest Health

Tapir Camera Trap
Tapir photographed with camera trap

Our camera trap efforts at Santa Rosa de Abuná are part of our larger camera trap initiative to monitor biodiversity in the Amazon. To date, we have recorded well over 10,000 photos and videos from our camera traps, which enable us to track the presence of a variety of fauna including large, predators like jaguar, that are indicators of a healthy ecosystem.

Some of the species captured on our 76 camera traps at Santa Rosa have an endangered status (Near Threatened or Vulnerable) according to the IUCN Red List, including Jaguars, Giant Anteaters, Tapirs, and Pale-winged trumpeters.

Giant Anteater
Giant Anteater photographed with camera trap

Showing consistent evidence of these species in our conservation area helps demonstrate to governments and others the need to protect the unique biodiversity that lives there. For instance, we have been able to show, through a density analysis of our camera trap efforts, that Santa Rosa and the indigenous territory of Tacana that we protect have a healthy jaguar population of 4.3-6.6 jaguars per every 100km2 (39 miles2).

First Melanistic Jaguar Photographed in Bolivia
First melanistic jaguar photographed in Bolivia

 

Our camera trap efforts in Bolivia have also caught on camera a jaguar (Panthera onca) with a very unique complexion. The animal is a melanistic jaguar, a color morph which occurs at about 6 percent frequency in populations, giving it an almost “black” look that is a stark contrast to the species normal orange/ brown complexion. This is the first time this type of jaguar has ever been recorded in the entire country of Bolivia.

Açaí Safety Harnesses Facilitate Harvesting and Save Lives

Promoting forest-friendly livelihoods that are safer, more profitable, and encourage conservation

Omar climbing an acai tree using new safety harnessWe have been working with the açaí and Brazil nut harvesters, who depend on the Santa Rosa de Abuná conservation area for their livelihood, to improve how they locate, gather, and process the forest goods they sustainably harvest. This is a key conservation and community development strategy for providing local people with the incentive to keep forests standing, as many of the globally in-demand fruits and nuts they harvest can only grow in healthy forests – not in large-scale plantations. With this strategy in mind, we help families improve their income by growing their local economies through instituting ecologically sustainable activities that protect the forests they call home.

Açaí harvesters usually climb 10-15 açaí trees a day with heights reaching up to 65 feet to bring down bundles of açaí weighing dozens of pounds – a tiring and dangerous activity. In 2017, we worked hand-in-hand with community members to design and test prototypes of a safety harness that would meet their needs in the field. This year, we built on their experiences from the previous year’s harvest season and improved the design and features of the harnesses. We distributed 90 new climbing safety harnesses to harvesters in five communities of Santa Rosa. The beneficiaries were enthusiastic because the harness is much safer and more efficient to use. All of the harvesters were trained in how to use the equipment and began utilizing them immediately in the current harvesting season.

harvesting brazil nutsThe new harnesses have already proved their value. One of the açaí harvesters, Omar Espinoza, used the new harness to climb a 50-foot high açaí tree, which he does on a daily basis during the harvest season in order to collect the fruit that generates almost all of his family’s income. Due to a misstep coming down the tree with a heavy branch of açaí in hand, Omar fell from a height of about 40 feet, head first. Thanks to one of the features in our safety harnesses – aptly called a “life line” – he was stopped from hitting the ground and just dangled from the harness instead. His head was just a few feet from the ground. Using the harness he had before this project would have meant a certain fall. Had it not been for this new equipment, he would have faced severe and debilitating injuries or possibly, death.

“This is a dangerous job, and there have been many accidents,” Tomás Espinoza, Omar’s dad, says. “No one knows it but us. At times we feel like we have been forgotten by the rest of the country. It’s good to have the support of [Amazon Conservation].”

Omar climbing an açaí trip using the new safety harness. The striped lifeline saved his life once already.

Bird Migration in the Amazon basin

The migration of animals is one of the most studied phenomena by scientists, and one of the most anticipated events by nature lovers. This annual phenomenon, which is affected by many factors such as age, sex, resistance, and survival skills, involves animals leaving habitats in winter and reaching the ideal and warmest places for feeding and reproduction. Birds — with their ability to fly, a highly developed nervous system and a physiology that responds quickly to changes – use the changing seasons to their advantage, some traveling thousands of miles in search of habitats with the greatest amount of resources. The birds that arrive in South America from other regions are called neotropical migrants and studying exactly how and why these species move is one of the biggest challenges for researchers to understand.

Neotropical migrants nest in temperate zones of the continent and during the winter they move towards or within the Amazon, and are called either boreal migrants (coming from the north) or austral (coming from the south). Knowing this crucial detail is key for implementing future conservation efforts, as it tells us which habitats need to be protected for birds to be able to migrate.

Sulphur bellied FlycatcherAmazon Conservation directly protects nearly 10,000 acres of forest at Wayqecha and Villa Carmen, two of its three birding lodges located on the eastern slope of the Peruvian Andes. The pristine cloud forest and premontane forest habitats found there are threatened by agricultural expansion, illegal logging, and climate change. There are currently 32 species of migratory birds found at our lodges, with Villa Carmen topping the list with a whopping 26 species, including 11 boreal migrants (such as Barn Swallow, Olive-sided Flycatcher, Western Wood-Pewee, Sulphur Bellied Flycatcher, and even an Upland Sandpiper, which travels over 6,000 miles every year to reach South America) and 15 austral species. Wayqecha has 6 boreal species, including the Blackburnian Warbler during the months of September to April, who trades the coniferous forests of the northern hemisphere for the cloud forests of South America, traveling over 5,000 miles, and only at night. You can also see the Golden-winged Warbler, Swainson’s Thrush and Broad-winged Hawk.

Extensive trails at each lodge take you deep into the forest, making it possible to observe these friendly “guests.” By conserving these forests, we are protecting bird diversity not only in the Amazon, but across continents.

Javier Farfan – Javier Farfán, Biologist, and Science Coordinator at Wayqecha Cloud Forest Birding Lodge

MAAP #81: Carbon loss from deforestation in the Peruvian Amazon

Base Map. Data: MINAM/PNCB, Asner et al 2014
Base Map. Data: MINAM/PNCB, Asner et al 2014

Download PDF of this article

When tropical forests are cleared, the enormous amount of carbon stored in the trees is released to the atmosphere, making it a major source of global greenhouse gas emissions (CO2) that drive climate change.

In fact, a recent study revealed that deforestation and degradation are turning tropical forests into a new net carbon source for the atmosphere, exacerbating climate change.1

The Amazon is the world’s largest tropical forest, and Peru is a key piece of that. Researchers (led by Greg Asner at the Carnegie Institution for Science) recently published the first high-resolution estimate of aboveground carbon in the Peruvian Amazon, documenting 6.83 billion metric tons.2

Here, we analyze this same dataset to estimate the total carbon emissions from deforestation in the Peruvian Amazon between 2013 and 2017. We estimate the loss of 59 million metric tons of carbon during these last five years, the equivalent of around 4% of annual United States fossil fuel emissions.3

We present a series of zoom images to show how carbon loss happened in several key areas impacted by the major deforestation drivers: gold mining, large-scale oil palm and cacao plantations, and smaller-scale agriculture. The labels A-G correspond to the zooms below.

We also show how protected areas are protecting hundreds of millions of metric tons of carbon in some of the most important areas in the country.

On the positive side, having this detailed information may provide added incentives to slow deforestation and degradation as part of critical climate change strategies.

 

 

 

 


Major Findings

Data: Asner et al 2014
Data: Asner et al 2014

The base map (see above) shows, in shades of green, carbon densities across Peru. It also shows, in red, the forest loss layer from 2013 to 2017.

We calculated the estimated amount of carbon emissions from forest loss during these five years: 59.029 teragrams, or 59 million metric tons.

The regions with the most carbon loss are 1) Loreto (13.4 million metric tons), 2) Ucayali (13.2 million), 3) Huánuco (7.3 million), 4) Madre de Dios (7 million), and 5) San Martin (6.9 million).

These values include some natural forest loss. Overall, however, they should be considered underestimates because they do not include forest degradation (for example, selective logging).

A recent study revealed that degradation may account for 70% of emissions, thus total carbon emissions from forests in the Peruvian Amazon may be closer to 200 million metric tons.

Next, we show a series of zoom images to show how carbon loss happened in several key areas. We also show how protected areas and conservation concessions are protecting the most important carbon reserves.

 

 

 

 

 

 

 


Zoom A: Central Peruvian Amazon

Image A shows the loss of 2.8 million metric tons of carbon in a section of the central Peruvian Amazon (Ucayali region). On the east side of image, note the loss due to two large-scale oil palm plantations (649,000 metric tons); on the west side, note small-scale agriculture penetrating deeper into high carbon density forest.

Image A. Central Peruvian Amazon. Data: Asner et al 2014, MINAM/PNCB
Image A. Central Peruvian Amazon. Data: Asner et al 2014, MINAM/PNCB

Zoom B: Southern Peruvian Amazon (gold mining) 

Image B shows the loss of 756 thousand metric tons of carbon due to gold mining in the southern Peruvian Amazon (Madre de Dios region). On the east side of image is the sector known as La Pampa; west side is Upper Malinowski.

Image B. Gold mining. Data: Asner et al 2014, MINAM/PNCB
Image B. Gold mining. Data: Asner et al 2014, MINAM/PNCB

Zoom C: Southern Peruvian Amazon (agriculture)

Image C shows the loss of 876 thousand metric tons of carbon in the southern Peruvian Amazon around the town of Iberia (Madre de Dios region). Note the expanding carbon loss along both sides of the Interoceanic Highway that crosses the image.

Image C. Iberia. Data: Asner et al 2014, MINAM/PNCB
Image C. Iberia. Data: Asner et al 2014, MINAM/PNCB

Zoom D: United Cacao

Image D shows the loss of 291 thousand metric tons of carbon for a large-scale cacao project (United Cacao) in the northern Peruvian Amazon (Loreto region). Note that nearly all the forest clearing occurred in high carbon density forest. This is another line of evidence that the company cleared primary forest, contrary to their claims that the area was already degraded.

Image D. United Cacao. Data: Asner et al 2014, MINAM/PNCB
Image D. United Cacao. Data: Asner et al 2014, MINAM/PNCB

Zoom E: Yaguas National Park

Image E shows how three protected areas, including the new Yaguas National Park, are effectively safeguarding 202 million metric tons of carbon in the northeastern Peruvian Amazon. This area is home to some of the highest carbon densities in the country.

Image E. Yaguas. Data: Asner et al 2014, MINAM/PNCB
Image E. Yaguas. Data: Asner et al 2014, MINAM/PNCB

Zoom F: Los Amigos Conservation Concession

Image F shows how Los Amigos, the world’s first conservation concession, is effectively safeguarding 15 million metric tons of carbon in the southern Peruvian Amazon. Two surrounding protected areas, Manu National Park and Amarakaeri Communal Reserve, safeguard an additional 194 million metric tons. This area is home to some of the highest carbon densities in the country.

Image F. Los Amigos. Data: Asner et al 2014, MINAM/PNCB
Image F. Los Amigos. Data: Asner et al 2014, MINAM/PNCB

Zoom G: Sierra del Divisor National Park

Image G. Data: Asner et al 2014, MINAM/PNCB
Image G. Data: Asner et al 2014, MINAM/PNCB

Image G shows how three protected areas, including the new Sierra del Divisor National Park, are effectively safeguarding 270 million metric tons of carbon in the eastern Peruvian Amazon.

This area is home to some of the highest carbon densities in the country.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


Methodology

Para el análisis se utilizó los datos de carbono sobre el suelo  generados por Asner et al 2014, y los datos de pérdida de bosques identificados por el Programa Nacional de Conservación de Bosques (PNBC-MINAM) de los años 2013 al 2016 así como las alertas tempranas del año 2017. Primero uniformizamos los datos de pérdida de bosque 2013-2016 con las alertas tempranas del año 2017 para evitar superposición y tener un solo dato 2013-2017. Posteriormente, extraemos los datos de carbono de las áreas de pérdida de bosque del 2013-2017, este proceso permitió obtener la densidad de carbono (por hectárea) en relación al área de la pérdida de bosque para finalmente estimar el total de stocks de carbono perdido entre el año 2013 al 2017.


References

Baccini A, Walker W, Carvalho L, Farina M, Sulla-Menashe D, Houghton RA (2017) Tropical forests are a net carbon source based on aboveground measurements of gain and loss. Science. 13;358(6360):230-4.

Asner GP et al (2014). The High-Resolution Carbon Geography of Perú. Carnegie Institution for Science.

Boden TA, Andres RJ, Marland G (2017) National CO2 Emissions from Fossil-Fuel Burning, Cement Manufacture, and Gas Flaring: 1751-2014. DOI 10.3334/CDIAC/00001_V2017


Citation

Finer M, Mamani N (2017). Carbon loss from deforestation in the Peruvian Amazon. MAAP: 81.

MAAP Interactive: Deforestation Drivers In The Andean Amazon

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://maaproject.org/interactive/

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

MAAP #64: Good News Deforestation Stories (Peruvian Amazon)

 

We admit that most MAAP stories are about the bad news of Amazon deforestation. But fortunately

 

 there is good news as well.

Here we highlight 5 good news stories from the Peruvian Amazon that show how near real-time monitoring may lead to halting deforestation from emerging threats, such as gold mining and large-scale agriculture (oil palm and cacao plantations).

The detailed cases are:

A) United Cacao (cacao),

B) Plantations of Pucallpa (oil palm),

C) Grupo Romero (oil palm),

D) Amarakaeri Comunal Reserve (gold mining), and

E) Tambopata National Reserve (gold mining).

 

 

 


United Cacao

Image 64a. Data: NASA/USGS

Image 64a. Data: NASA/USGS
Image 64a. Data: NASA/USGS

The rapid deforestation of primary forest for a large-scale cacao plantation in the northern Peruvian Amazon took everyone by surprise in 2013. Civil society led the way in exposing and tracking the deforestation with satellite imagery and the government eventually confirmed the forest loss data. For its part, MAAP published 6 articles (for example MAAP #35 and MAAP #2).

Although total deforestation eventually reached 5,880 acres (2,380 hectares), the company, due to a complicated combination of factors, was suspended from the London Stock Exchange and no new deforestation has been detected in over a year.

Image 64a shows that the cacao project area was covered by intact forest in late 2012, followed by large-scale deforestation of primary forest in 2013. The deforestation slowed, and then stopped, between 2014 and 2017. The yellow circle indicates the cacao plantation area over time.


Plantations of Pucallpa (oil palm)

In a remarkable case, satellite imagery was used to demonstrate that an oil palm company (Plantations of Pucallpa) had breached the Code and Conduct of the RSPO (Roundtable on Sustainable Palm Oil), a non-profit entity founded to develop and implement global standards for sustainable palm oil.

In 2015, the Native Community of Santa Clara de Uchunya (with the support of the NGO Forest Peoples Programme) presented an official complaint to the RSPO against Plantations of Pucallpa, a member of the roundtable. An important component of the complaint alleged massive deforestation, but the company adamantly denied it. MAAP articles showing the deforestation of 15,970 acres (6,460 hectares) were used as evidence (MAAP #4, MAAP #41), as was independent government analysis.

In April 2017, the RSPO concluded that Plantations of Pucallpa cleared 14,145 acres (5,725 hectares) despite declaring no land-clearing, thus breaching the Code and Conduct. Several months prior this decision, the company divested its oil palm estates and withdrew from the RSPO. We have not detected any new deforestation in the project area in over a year.

Image 64b shows the massive deforestation for two large-scale oil palm plantations in the central Peruvian Amazon (Plantations of Pucallpa is the plantation to the north). The yellow circles indicate the oil palm plantation project areas over time. Note that the project area was a mix of primary and secondary forest in 2011, immediately prior to the deforestation, which began in 2012. The deforestation intensified in 2013 before nearly reaching its maximum extent in 2015. We have not detected any new deforestation since 2016.

Image 64b. Data: NASA/USGS, MAAP
Image 64b. Data: NASA/USGS, MAAP

Grupo Romero (oil palm)

Perhaps the best news of the bunch is about four large-scale oil palm plantations that were stopped before any deforestation occurred. As detailed in a recent report by Environmental Investigation Agency, the Peruvian business conglomerate Grupo Romero conducted environmental impact studies for four new oil palm plantations in the northern Peruvian Amazon. Analysis of these studies revealed that these plantations would cause the massive deforestation of 56,830 acres (23,000 hectares) of primary forest. After strong pushback from civil society, including legal action, a recent report from Chain Reaction Research revealed that Grupo Romero is now working towards a zero-deforestation supply chain and thus found that the four planned plantations are no longer feasible and abandoned the projects.

Image 64c shows how the project area for two of the proposed oil palm plantations (in yellow), Santa Catalina and Tierra Blanca, is largely covered by intact, primary forest.

Image 64c. Data: NASA/USGS, Grupo Palmas (Grupo Romero)
Image 64c. Data: NASA/USGS, Grupo Palmas (Grupo Romero)

Amarakaeri Communal Reserve (gold mining)

In June 2015, we revealed the deforestation of 11 hectares in Amarakaeri Communal Reserve due to an illegal gold mining invasion. The Reserve, located in the southern Peruvian Amazon, is an important protected area that is co-managed by indigenous communities (ECA Amarakaeri) and SERNANP, Peru’s protected areas agency (see MAAP #6). In the following weeks, the Peruvian government, led by SERNANP, cracked down on the illegal mining activities. A year later, we showed that the deforestation had been stopped, with no further expansion into the Reserve (MAAP #44). In fact, we showed that there were signs of recovering vegetation on the recently mined areas.

Image 64d shows the gold mining deforestation approaching (2011-12) and entering (2013-15) Amarakaeri Communal Reserve (yellow circles indicate areas of invasion). However, it also shows how, following action by the government and ECA Amarakaeri, the deforestation was halted and did not expand in 2016-17.

Image 64d. Data: NASA/USGS, Sentinel/ESA, RapidEye/Planet
Image 64d. Data: NASA/USGS, Sentinel/ESA, RapidEye/Planet

Tambopata National Reserve (gold mining)

In September 2015, illegal gold miners started to invade Tambopata National Reserve, an important protected area in the southern Peruvian Amazon with world renowned biodiversity. In a series of MAAP articles, we tracked the invasion as it intensified in 2016, and eventually reached 1,360 acres (550 hectares) by early 2017. However, by late 2016, the Peruvian Government intensified its interventions against the illegal mining activity, and the rate of deforestation quickly and sharply decreased. In the most recent satellite imagery, we have not detected any major new expansion of illegal gold mining within the Reserve.

Image 64e shows the initial invasion of Tambopata National Reserve between September 2015 and January 2016. The deforestation within the Reserve intensifies during 2016, but slows significantly in 2017. The yellow circles indicate areas of invasion.

Image 64e. Data: Planet, SERNANP
Image 64e. 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

Finer M, Novoa S, Olexy T, Scott A (2017) Good News Deforestation Stories (Peruvian Amazon). MAAP: 64.

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