Author: dcadmin

MAAP #24: Illegal Gold Mining Penetrates Deeper into Tambopata National Reserve

Posted on by dcadmin

*Note: During the preparation of this analysis, the Peruvian government conducted an operation against the illegal gold mining activity in the area described below (see this news article in Spanish for more information).

In MAAP #21, we revealed, using high-resolution images, the first sign of an invasion into the Tambopata National Reserve (an important natural protected area in the southern Peruvian Amazon) by illegal gold mining activities. Here in MAAP #24, we show two additional types of satellites imagery (due to lack of new high-resolution image) indicating that the illegal gold mining deforestation continues to penetrate deeper into the Reserve.

Image 24a. Landsat images showing the expansion of deforestation inside the Tambopata National Reserve between December 2015 (left panel) and January 2016 (right panel). Data: USGS, SERNANP.
Image 24a. Landsat images showing the expansion of deforestation inside the Tambopata National Reserve between December 2015 (left panel) and January 2016 (right panel). Data: USGS, SERNANP.

Image 24a shows a comparison between two Landsat images (30 m resolution) indicating that the deforestation continued to increase within the Reserve between December 2015 (left panel) and January 2016 (right panel). The red circles indicate the general location of the newly deforested areas, which appear pink (soil without forest cover) and blue (wastewater pools) in contrast to the green (standing forest). The deforestation inside the Tambopata National Reserve between December 2015 and January 2016 is approximately 20 hectares (49 acres).

Image 24b is the base map showing the area described above in a larger context. The red inset box indicates the area shown in Image 24a.

Image 24b. Reference Map of mining area. Data: SERNANP, WorldView-2 of Digital Globe (NextView).
Image 24b. Reference Map of mining area. Data: SERNANP, WorldView-2 of Digital Globe (NextView).

Radar: Powerful New Tool

Image 24c. Radar images showing the expansion of deforestation inside the Tambopata National Reserve between November 2015 (left panel) and January 2016 (right panel) Data: SERNANP, Sentinel-1
Image 24c. Radar images showing the expansion of deforestation inside the Tambopata National Reserve between November 2015 (left panel) and January 2016 (right panel) Data: SERNANP, Sentinel-1

Image 24c shows, for the first time in MAAP, information from a radar satellite (Sentinel-1 from the European Space Agency). Unlike multi-spectral Landsat imagery that is vulnerable to clouds blocking the view, radar imagery is useful year-round (even the Amazon rainy season) because it can penetrate through cloud cover. In the displayed images, the shades of gray are related to the topography and the height of the forest. Lower areas, such as recently deforested lands and bodies of water, appear darker (almost black) in color, while higher areas such as standing forests appear lighter in color. Image 24c confirms the increase in deforestation between November 2015 (left panel) and January 2016 (right panel) within the area indicated above (see the red boxes).

Citation

Finer M, Novoa S, Olexy T (2016) Illegal Gold Mining Penetrates Deeper into Tambopata National Reserve. MAAP: 24.

MAAP #23: Increasing Deforestation Along Lower Las Piedras River (Madre De Dios, Peru)

Posted on by dcadmin

The Las Piedras River in the southern Peruvian Amazon (department of Madre de Dios) is increasingly recognized for its outstanding wildlife (for example, see this video by naturalist and explorer Paul Rosolie, and this trailer for the upcoming film Uncharted Amazon). As seen in Image 23a, its headwaters are born in the Alto Purus National Park, but the lower Las Piedras is surrounded by a mix of different types of forestry concessions (logging, Brazil nut harvesting, ecotourism, and reforestation).

Here in MAAP #23, we document the growing deforestation on the lower Las Piedras River in the area surrounding the community of Lucerna (see red box in Image 23a for context).

Image 23a. Las Piedras River and surrounding designations. Data: MINAGRI, IBC, SERNANP.
Image 23a. Las Piedras River and surrounding designations. Data: MINAGRI, IBC, SERNANP.

Deforestation Analysis

Image 23b shows our deforestation analysis for an area along the lower Las Piedras River near the community of Lucerna (see red box in Image 23a for context). We found a sharp increase in deforestation starting in 2012. In the 11 years between 2000 and 2011, we detected the deforestation of 88 hectares (218 acres). In contrast, in the 4 years between 2012 and 2015, we detected the deforestation of 472 hectares (1,166 acres). 2015 had the highest deforestation total with 155 hectares (383 acres).

Image 23b. Lower Las Piedras River deforestation analysis. Data: MINAGRI, CLASlite, PNCB/MINAM, Hansen/UMD/Google/USGS/NASA.
Image 23b. Lower Las Piedras River deforestation analysis. Data: MINAGRI, CLASlite, PNCB/MINAM, Hansen/UMD/Google/USGS/NASA.

Note that the Las Piedras Amazon Center (LPAC) Ecotourism Concession represents an effective barrier to deforestation. However, note that two other, less active, ecotourism concessions are experiencing extensive deforestation. The 4,460 hectare LPAC concession (which was created in 2007 and transferred to ARCAmazon in March 2015) hosts an active tourist lodge, research center,  and Forest Ranger Protection Program, which employs local people to patrol the area while monitoring wildlife and human impacts.

Image 23c. Recent Landsat image showing deforestation along lower Las Piedras. Data: USGS,MINAGRI.
Image 23c. Recent Landsat image showing deforestation along lower Las Piedras. Data: USGS,MINAGRI.

Image 23c shows a very recent (December 2015) Landsat image of the deforestation highlighted in Image 23b. The pinkish-red areas indicate the most recently cleared forests. We have received information indicating that much of this new deforestation is associated with cacao plantations. Cacao is of course used to produce chocolate.

Citation

Finer M, Pena N (2015) Increasing Deforestation along lower Las Piedras River (Madre de Dios, Peru). MAAP #23

MAAP #22: Yaguas – Another Big Conservation Opportunity For Peru

Posted on by dcadmin

Peru recently celebrated a major conservation victory for 2015 with the creation of Sierra del Divisor National Park. Prior to this announcement, Sierra del Divisor was classified as a Reserved Zone, which is a temporary measure to protect an area of biological importance until the government is able to determine a final designation. In these cases, national park status represents the strongest possible final designation.

Now in 2016, there is the opportunity for another major conservation victory in Peru: creation of Yaguas National Park. Yaguas received Reserved Zone status in 2011 and is now awaiting its final designation. Yaguas Reserved Zone is both big (868,928 hectares or 2,147,168 acres) and remote, located in extreme northeast Peru within the department of Loreto (see Image 22a).

Image 22a. Yaguas Reserved Zone. Data: USGS, SERNANP, PNCB/MINAM, Hansen/UMD/Google/USGS/NASA
Image 22a. Yaguas Reserved Zone. Data: USGS, SERNANP, PNCB/MINAM, Hansen/UMD/Google/USGS/NASA

Note that Yaguas is a critical part of a series of protected areas that provide landscape level biological connectivity in northeast Peru. In addition, Yaguas borders and complements a large protected Colombian landscape, forming one of the largest assemblies of protected areas and indigenous lands in the Amazon.

Deforestation Analysis

Yaguas Reserved Zone is the rare example of an area in extremely good conservation condition. As seen In Image 22b, we detected virtually no deforestation within or surrounding the reserve. Note that the background in Image 22b is a Landsat image (30 m resolution) from December 2015 showing the reserve is completely covered with intact forest.

Image 22b. Yaguas Deforestation analysis. Data: USGS, PNCB/MINAM, Hansen/UMD/Google/USGS/NASA, MINAGRI, SERNANP
Image 22b. Yaguas Deforestation analysis. Data: USGS, PNCB/MINAM, Hansen/UMD/Google/USGS/NASA, MINAGRI, SERNANP

Carbon Analysis

Dr. Greg Asner (Carnegie Institution for Science) and the Peruvian Ministry of the Environment recently produced a high-resolution carbon map of Peru (Asner et al. 2014 a,b). As seen in Image 22c, much of the reserve contains very high carbon levels. Using this data, we calculated that Yaguas Reserved Zone contains approximately 102 million metric tons of above-ground carbon, one of the highest totals for a protected area in all of Peru.

Image 22c. High-resolution carbon geography of the Yaguas Reserved Zone. Data: Asner et al. 2014 a,b.
Image 22c. High-resolution carbon geography of the Yaguas Reserved Zone. Data: Asner et al. 2014 a,b.

Asner GP, Knapp DE, Martin RE, Tupayachi R, Anderson CB, et al. (2014 a) Targeted carbon conservation at national scales with high-resolution monitoring. Proceedings of the National Academy of Sciences, 111(47), E5016-E5022.

Asner GP, Knapp DE, Martin RE, Tupayachi R, Anderson CB, et al. (2014 b) The high-resolution carbon geography of Peru. Berkeley, CA: Minuteman Press.

Biodiversity

The Yaguas Reserved Zone also contains extremely high levels of biodiversity, particularly for fish. In fact, according to a rapid biological inventory by the Field Museum in 2010, Yaguas may be home to the highest fish diversity in Peru. During the inventory, scientists recorded 337 fish species in three weeks, far more than any other rapid inventory in Peru (see Image 22d). Biologists estimate that Yaguas is home to around 550 fish species, making it one of South America’s most diverse aquatic ecosystems.

The Reserved Zone (and proposed national park) was specifically designed to protect this extraordinary aquatic diversity. It contains a complete gradient of lowland river aquatic habitats, from headwaters (first order and intermediate) and springs to lowland areas encompasing habitats such as floodplains, lakes, swamps, bogs, and a meandering main river (see Images 22e and 22f). Importantly, unlike most of the major rivers protected by Peruvian national parks, the Yaguas River is born in the Amazon lowlands, not in the Andes. Thus, it contains hydrological processes and riparian habitats that are not yet strictly protected by the Peruvian system of protected areas.

Image 22d. Number of fish species recorded in rapid inventories of the Yaguas Reserved Zone and 10 other sites in Loreto, Peru. Data: http://fm2.fieldmuseum.org/rbi/results.asp
Image 22d. Number of fish species recorded in rapid inventories of the Yaguas Reserved Zone and 10 other sites in Loreto, Peru. Data: http://fm2.fieldmuseum.org/rbi/results.asp
Image 22e. Aerial view of Yaguas River. Photo Credit: Alvaro del Campo (Field Museum)
Image 22e. Aerial view of Yaguas River. Photo Credit: Alvaro del Campo (Field Museum)
Image 22f. Aerial view of Yaguas River and the Cachimbo tributary. Photo Credit: Alvaro del Campo (Field Museum)
Image 22f. Aerial view of Yaguas River and the Cachimbo tributary. Photo Credit: Alvaro del Campo (Field Museum)

References:

Hidalgo, M. H., y A. Ortega-Lara. 2011. Peces. Pp. 98–108 y 308–329 en N. Pitman, C. Vriesendorp, D. K. Moskovits, R. von May, D. Alvira, T. Wachter, D. F. Stotz y Á. del Campo, eds. Perú: Yaguas-Cotuhé. Rapid Biological and Social Inventories Report 23. The Field Museum, Chicago. http://fm2.fieldmuseum.org/rbi/results_23.asp

Pitman, N., C. Vriesendorp, D. K. Moskovits, R. von May, D. Alvira, T. Wachter, D. F. Stotz y Á. del Campo, eds. 2011. Perú: Yaguas-Cotuhé. Rapid Biological and Social Inventories Report 23. The Field Museum, Chicago. http://fm2.fieldmuseum.org/rbi/results_23.asp

Acknowledgments

We thank the Field Museum and Instituto del Bien Común for helpful comments and information.

Citation

Finer M, Novoa S (2015) Another Big Conservation Opportunity for Peru: Yaguas.

 

Illegal Gold Mining Deforestation Enters Tambopata National Reserve (Madre De Dios, Peru) [High-Resolution View]

Posted on by dcadmin

Image 21a illustrates a recent illegal gold mining invasion of the Tambopata National Reserve. Tambopata is an important protected area in the southern Peruvian Amazon (department of Madre de Dios). Image 21a compares two high-resolution (0.5 m) images taken two months apart over the same area along the northern border of the reserve. One can clearly see the beginning of the illegal gold mining activity and deforestation within the reserve between September (left panel) and November (right panel) 2015. For more context regarding the area in question, see the yellow box in Image 21b.

MAAP #19: Gold Mining Deforestation Advancing Along Upper Malinowski River (Madre De Dios, Peru)

Posted on by dcadmin

In MAAP #5, we described the intensifying deforestation along the Upper Malinowski River in the department of Madre de Dios, Peru. Here in MAAP #19, we update this information and confirm that the deforestation continues at a rapid pace. This finding is based on analysis of three high-resolution images between September 2014 and November 2015. As described below, we document the deforestation of 392 hectares (969 acres) between September 2014 and November 2015 due to gold mining along the Upper Malinowki River.

Image 19a. Gold mining deforestation between September 2014 and 2015 along Upper Malinowski. Data: SERNANP, WorldView-2 from Digital Globe (NextView).
Image 19a. Gold mining deforestation between September 2014 and 2015 along Upper Malinowski. Data: SERNANP, WorldView-2 from Digital Globe (NextView).

Image 19a shows a comparison of two high resolution (0.5 m) images taken one year apart over the same area along the Upper Malinowski River (left panel is from September 2014, while the right panel is from September 2015). Comparison analysis of these images reveals two primary findings. First, deforestation is rapidly spreading upstream along the Upper Malinowski and its tributaries.

Second, this deforestation is nearing the border of the Bahuaja Sonene National Park boundary (see Image 19b).

Image 19c. Deforestation analysis between September and November 2015 along the Upper Malinowski. Data: CLASlite, SERNANP, WorldView-2 from Digital Globe (NextView).
Image 19c. Deforestation analysis between September and November 2015 along the Upper Malinowski. Data: CLASlite, SERNANP, WorldView-2 from Digital Globe (NextView).

Deforestation Analysis

Image 19c is a detailed deforestation analysis between the two images. We documented the deforestation of 352 hectares (870 acres) due to gold mining activities between September 2014 and September 2015 along the Upper Malinowski (note: this calculation covers the area displayed in Image 19a).

Image 19c. Deforestation analysis between September and November 2015 along the Upper Malinowski. Data: CLASlite, SERNANP, WorldView-2 from Digital Globe (NextView).
Image 19b. Zoom of gold mining deforestation near the Bahuaja Sonene National Park. Data: SERNANP, WorldView-2 from Digital Globe (NextView).

During preparation of this article, a new high resolution image over the same area from November 2015 became available. As an indication of how rapidly the gold mining is advancing, we documented an additional deforestation of 40 hectares (99 acres) between September and November 2015.

Thus, we documented a total deforestation of 392 hectares (969 acres) between September 2014 and November 2015 along the Upper Malinowki.

Two Gold Mining Deforestation Fronts

The Upper Malinowki is just west (and upstream) of the mining zone known as La Pampa featured in MAAP articles #1, #12, and #17. These currently appear to be the two major gold mining deforestation fronts in Madre de Dios. Image 19b illustrates the general location of these two areas (“C” indicates La Pampa and “D” indicates the Upper Malinowski). Note that La Pampa is within the buffer zone of the Tambopata National Reserve and the Upper Malinowski is within the buffer zone of the Bahuaja Sonene National Park.

Imagen 19d. General location of the Alto Malinowski (“D”) and La Pampa (“C”). Data: CLASlite, MINAM, SERNANP, ACCA, Hansen/UMD/Google/USGS/NASA, USGS.
Imagen 19d. General location of the Alto Malinowski (“D”) and La Pampa (“C”). Data: CLASlite, MINAM, SERNANP, ACCA, Hansen/UMD/Google/USGS/NASA, USGS.

 

Citation

Finer M, Snelgrove C (2015) Gold Mining Deforestation Rapidly Advancing along Upper Malinowski River (Madre de Dios, Peru). MAAP: 19.

Mining News Watch #18

Posted on by dcadmin

Mining News Watch #18 covers the time period July 31st- October 31, 2015

Top Stories 

  • There have been three police raids in Madre de Dios this summer in an attempt to stop illegal gold mining in the region.
  • The Amazon Conservation Association released high-resolution images showing the intensity of illegal gold mining in La Pampa, Madre de Dios.

Read Full Article >

MAAP #18: Proliferation of Logging Roads in The Peruvian Amazon

Posted on by dcadmin

MAAP articles #3 and #15 detailed the construction of several new logging roads in the central Peruvian Amazon. Here in MAAP 18, we provide a more comprehensive analysis of the proliferation of logging roads in this section of the Amazon. In Image 18a, we show a high resolution example of a new logging road in this area with active construction during 2015 (see Inset A1 in Image 18c for more context).

Image 18a. New logging road in the Peruvian Amazon. Data: WorldView-2 of Digital Globe (NextView).
Image 18a. New logging road in the Peruvian Amazon. Data: WorldView-2 of Digital Globe (NextView).

Image 18b illustrates the location of all identified logging roads in the central Peruvian Amazon (southern Loreto and northern Ucayali). Most of these roads are located along the Ucayali River and its headwater tributaries. The left panel highlights just the logging roads, while the right panel also includes protected areas, native communities, and logging concessions.

Image 18b. Logging roads in the central Peruvian Amazon. Data: SERNANP, IBC, USGS, MINAGRI.
Image 18b. Logging roads in the central Peruvian Amazon. Data: SERNANP, IBC, USGS, MINAGRI.

In Image 18b, we documented the construction of 1,134 km of logging roads between 2013 and 2015 in the central Peruvian Amazon. Of this total, 538 km is in the matrix of logging concessions and native communities in southern Ucayali, 226.1 km is in undesignated areas in southern Loreto, 210 km is in the buffer zone of Cordillera Azul National Park, and 159 km is around the new Sierra del Divisor National Park.

Note that the buffer zone of Cordillera Azul National Park and surroundings of Sierra del Divisor National Park contain logging concessions and native communities, thus the responsibility of forest authority is the regional government.

Determining the legality of these roads is complex. As the right panel highlights, many of these roads are near logging concessions and native communities, whom may have obtained the rights for logging from the relevant forestry authority (in many cases, the regional government).

Below, we focus on the logging roads in the northern section of Image 18b (see Inset A).

Zoom A: Logging Roads in Southern Loreto/Northern Ucayali

 

Image 18c. Logging roads in southern Loreto/northern Ucayali. Data: SERNANP, IBC, USGS, MINAGRI.
Image 18c. Logging roads in southern Loreto/northern Ucayali. Data: SERNANP, IBC, USGS, MINAGRI.

Image 18c is a zoom of the logging roads shown in the northern section of Image 18a (Inset A), located in southern Loreto and northern Ucayali. It shows five primary areas of interest. Both Insets A1 and A2 correspond to new roads within the southeast buffer zone of the Cordillera Azul National Park with active construction in 2015 (see below for more details).

Insets A3, A4, and A5 correspond to roads with active construction between 2013 and 2015 that have already been featured on MAAP. Inset 3 includes a logging road in the northeast sector of the buffer zone of Cordillera Azul National Park (see MAAP #3 for more details). Insets 3 and 5 show logging roads around the new Sierra del Divisor National Park (see MAAP #15 and MAAP #7 for more details).

Zoom A1: Logging Roads in Nuevo Irazola

Image 18d provides more details about a new logging road with very recent construction within the southeast buffer zone of Cordillera Azul National Park (See Inset A1 in Image 18C for context). This road has grown 68 km between 2013 and 2015, with more than half of this construction occurring over the past year. According to information obtained from the forestry department within the Regional Government of Ucayali (PRMRFFS), the native community of Nuevo Irazola made a logging permission request for industrial and/or commercial use and prepared an Annual Operating Plan. However, a high-resolution (0.5 m) image shows a recent stretch of the road exceeds the area requested for forestry activities (see Image 18d).

Image 18d. High-resolution image of a new forest road in the southeast buffer zone of Cordillera Azul National Park. Data: WorldView-2 of Digital Globe (NextView).
Image 18d. High-resolution image of a new forest road in the southeast buffer zone of Cordillera Azul National Park. Data: WorldView-2 of Digital Globe (NextView).

Zoom A2: Rapid Expansion of a Logging Road

 

Image 18e. Time series of a forest road in the southeast buffer zone of Cordillera Azul National Park. Data: USGS.
Image 18e. Time series of a forest road in the southeast buffer zone of Cordillera Azul National Park. Data: USGS.

Image 18e illustrates the rapid expansion of another forest road located in the southeast section of the Cordillera Azul National Park buffer zone (See Inset A2 in Image 18C for context). We documented the construction of 29.1 km during the six weeks between September 10 (left panel) and October 20 (right panel), a rate of nearly five kilometers per week. The legality of this road is currently unknown, but note that it is extending in the direction of a forestry concession.

Citation

Novoa S, Fuentes MT, Finer M, Pena N, Julca J (2015) Proliferation of Logging Roads in the Peruvian Amazon. MAAP #18.

Note: MAAP #18 is a collaborative effort between Amazon Conservation Association (ACA), Conservación Amazónica (ACCA), and the Centro de Conservación Investigación y Manejo de Áreas Naturales (CIMA).

MAAP #17: Birth of A New Illegal Gold Mining Zone in The Peruvian Amazon [High Resolution View]

Posted on by dcadmin

In MAAP #12, we featured a high resolution image from July 29, 2015 of the area known as “La Pampa,” a hotspot of illegal mining in the buffer zone of the Tambopata National Reserve (Madre de Dios region, Peru).

Just seven weeks later, we obtained a new high resolution image of La Pampa for September 16, 2015. Image 17a shows the birth of a new gold mining zone between the July image (left panel) and September image (right panel) (see the letter “A” in Image 17b for context). The current extent of this new clearing is 1.5 hectares. This mining activity is illegal since it is located within the buffer zone of the Tambopata National Reserve.

Reference Map

Image 17b is the reference map, showing the forest cover change between July (left panel) and September (right panel) 2015. In the right panel, the letter “A” corresponds to Image 17a, while the letter “B” corresponds to Image 17c.

Image 17b. Reference map. Data: WorldView Digital Globe (NextView).
Image 17b. Reference map. Data: WorldView Digital Globe (NextView).

Expanding Deforestation

Image 17c shows the deforestation expanding to the west between July (left panel) and September (right panel) 2015.

Image 17c. Deforestation expanding to the west between July and September 2015. Data: WorldView Digital Globe (NextView).
Image 17c. Deforestation expanding to the west between July and September 2015. Data: WorldView Digital Globe (NextView).

Citation

Finer M, Olexy T (2015) High Resolution View: Birth of a New Illegal Mining Zone. MAAP #17.

MAAP #16: Oil Palm-Driven Deforestation in The Peruvian Amazon (Part 2: Shanusi)

Posted on by dcadmin

In MAAP #4 we described the major deforestation caused by two new large-scale oil palm projects in the central Peruvian Amazon (Nueva Requena, Ucayali region).

Here in MAAP #16, we describe the major deforestation related to two other oil palm projects, Palmas del Shanusi and Palmas del Oriente, in the northern Peruvian Amazon (regions Loreto and San Martin). These projects (operated by Grupo Palmas, an agriculture company owned by Grupo Romero) cover 10,029 hectares.

Image 16a. Deforestation within and around the two large-scale oil palm projects Palmas del Shanusi and Oriente. Data: PNCB, USGS, Grupo Palmas.
Image 16a. Deforestation within and around the two large-scale oil palm projects Palmas del Shanusi and Oriente. Data: PNCB, USGS, Grupo Palmas.

Image 16a shows the extensive forest clearing within and around Palmas del Shanusi and Oriente. The 2000-2014 forest loss data comes from the Peruvian government (PNCB-MINAM/SERFOR-MINAGRI) and the 2015 data comes from our analysis of Landsat imagery using CLASlite forest monitoring software.

Within the two projects, we documented that Grupo Palmas cleared 6,974 hectares of primary forest between 2006 and 2011 (see Images 16a and 16b). This represents 70% of the projects’ area (Peruvian law requires the conservation of 30% of an agricultural project area’s forest cover). Thus, a key issue is that the Peruvian legal framework, under certain conditions, allows the clearing of thousands of hectares of primary forest for large-scale agriculuture projects (see the report Deforestation by Definition by the Environmental Investigation Agency for more details).

We defined primary forest as an area characterized by dense, closed-canopy coverage from the earliest available Landsat image (in this case 1994) until immediately prior to plantation installation.

Importantly, we also documented the clearing of an additional 9,840 hectares of primary forest immediately surrounding the projects (see Images 16a and 16b). There was clearing of more than a thousand hectares each year between 2010 and 2013, followed by another thousand hectares between 2014 and 2015. Analysis of high-resolution imagery confirms that much of this additional clearing resulted in large-scale model oil palm plantations.

In total, we documented the clearing of over 16,800 hectares of primary forest for large-scale oil palm plantations within and around Palmas del Shanusi and Oriente. It is important to note that there has now been more forest clearing outside than inside the original projects, an important lesson for other new agricultural areas such as Tamshiyacu.

Image 16b. Primary forest cleared within and around Grupo Palmas projects.
Image 16b. Primary forest cleared within and around Grupo Palmas projects.

High Resolution Zooms

Following is a series of high resolution zooms showing examples of forest clearing within and around Palmas del Shanusi and Oriente. Image 16c is the reference map indicating the location of the various zooms (Images 16d – 16g). Zooms 16d and 16e show the same area before (left panel) and after (right panel) forest clearing. Zooms 16f and 16g show areas of recent forest clearing.

Image 16c. Reference Map. Data: USGS.
Image 16c. Reference Map. Data: USGS.
Image 16d. High-resolution zoom A; deforestation outside the Grupo Palmas project. Data: Google Earth, WorldView-2 from Digital Globe (NextView).
Image 16d. High-resolution zoom A; deforestation outside the Grupo Palmas project. Data: Google Earth, WorldView-2 from Digital Globe (NextView).
Image 16e. High-resolution zoom B; forest clearing within the Grupo Palmas project. Data: Google Earth, WorldView-2 from Digital Globe (NextView).
Image 16e. High-resolution zoom B; forest clearing within the Grupo Palmas project. Data: Google Earth, WorldView-2 from Digital Globe (NextView).
Image 16f. High-resolution zoom C. Data: Google Earth, WorldView-2 from Digital Globe (NextView).
Image 16f. High-resolution zoom C. Data: Google Earth, WorldView-2 from Digital Globe (NextView).
Image 16g. High-resolution zoom D. Data: Google Earth, WorldView-2 from Digital Globe (NextView).
Image 16g. High-resolution zoom D. Data: Google Earth, WorldView-2 from Digital Globe (NextView).

References

This work builds off of information presented in the following publication: Environmental Investigation Agency. Deforestation by Definition. 2015. Washington, DC. Link: http://eia-global.org/news-media/deforestation-by-definition

Citation

Finer M, Novoa S (2015) Oil Palm-driven Deforestation in the Peruvian Amazon (Part 2: Shanusi) MAAP: Image #16. Link: https://maaproject.org/2015/10/image16-shanusi/

MAAP Synthesis #1: Patterns and Drivers of Deforestation in the Peruvian Amazon

Posted on by dcadmin

We present a preliminary analysis of current patterns and drivers of deforestation in the Peruvian Amazon. This analysis is largely based on the first 15 articles published on MAAP between April and September 2015, but also incorporates information from other relevant sources. We describe this analysis as preliminary because as MAAP research continues, we will be able to improve and refine our synthesis in subsequent editions.

Image S1a. Recent patterns and drivers of deforestation in the Peruvian Amazon. Numbers indicate relevant MAAP article. Data: SERNANP, IBC, MINAM-PNCB/MINAGRI-SERFOR, MAAP.
Image S1a. Recent patterns and drivers of deforestation in the Peruvian Amazon. Numbers indicate relevant MAAP article. Data: SERNANP, IBC, MINAM-PNCB/MINAGRI-SERFOR, MAAP.

Introduction & Summary of Key Results

Image S1a illustrates recent (2000 – 2013) patterns of deforestation in the Peruvian Amazon based on data from the Peruvian Ministries of Environment[i] and Agriculture[ii]. These two Ministries have documented a total forest loss of around 1.65 million hectares (ha) in the Peruvian Amazon between 2001 and 2014, with an increasing trend in recent years (2014 had the highest forest loss on record with 177,571 ha)[iii],[iv]. Another recent report by the Peruvian government stated that the majority (75%) of the Amazonian deforestation is due to small-scale clearings related to agriculture and livestock activities, usually near roads or rivers[v].

Building off of that historical and annual information, our goal at MAAP is to monitor deforestation in near real-time. Since April 2015, we have published numerous articles analyzing areas in the northern, central, and southern Peruvian Amazon. In this initial analysis, we have found that three of the most important drivers of deforestation are large-scale oil palm (and cacao) plantations, gold mining, and coca cultivation. We also found a growing network of logging roads that contribute to forest degradation. Image S1a displays the general geographic distribution of these drivers of deforestation and degradation.

We estimate that around 30,000 hectares of primary forest was cleared since 2000 for large-scale oil palm and cacao plantations. Cacao has recently joined oil palm as a deforestation driver due to the arrival of the company United Cacao and their implementation of the large-scale agro-industrial model in place of traditional small-scale plantations on previously degraded lands.

Gold mining has directly caused the deforestation of over 43,000 ha since 2000, mostly in the region of Madre de Dios. In recent years, this deforestation has been concentrated in the Tambopata National Reserve buffer zone.

Although coca cultivation is reportedly declining in Peru, we found that it remains a major driver of deforestation, particularly within and around remote protected areas. For example, we documented 143 ha of coca related deforestation within the Sierra del Divisor Reserved Zone, and an additional 2,638 ha related to shifting agricultural cultivation, which includes coca, within and around Bahuaja Sonene National Park.

We also documented a recent expansion of logging roads in the central Peruvian Amazon. This finding is significant because it is difficult to detect selective logging in satellite imagery, but now we can at least detect the roads that indicate that selective logging is taking place in a given area.

We identified some important geographic patterns related to the four drivers described above. For example, large-scale oil palm (and cacao) are concentrated in the northern Peruvian Amazon, while gold mining deforestation has largely been in the south. Coca-driven deforestation appears to be particularly problematic in the southern Peruvian Amazon, but also exists in the north. The construction of new logging roads is currently most active in the central Peruvian Amazon.

The documented deforestation is caused by both illegal and legal means. For the former, there is extensive deforestation from illegal gold mining and coca cultivation. Regarding the latter, oil palm and cacao companies are exploiting loopholes in the Peruvian legal framework that facilitate large-scale deforestation for agricultural projects.

Large-scale Agriculture (Oil Palm and Cacao)

Image S1b. Large-scale agriculture deforestation in the northern Peruvian Amazon. Numbers indicate relevant MAAP article. Data: SERNANP, IBC, MINAM-PNCB/MINAGRI-SERFOR, MAAP.
Image S1b. Large-scale agriculture deforestation in the northern Peruvian Amazon. Numbers indicate relevant MAAP article. Data: SERNANP, IBC, MINAM-PNCB/MINAGRI-SERFOR, MAAP.

Image S1b illustrates that large-scale agriculture (namely oil palm and cacao) is an important cause of deforestation in northern Peru.

Importantly, several oil palm and cacao companies are changing the production model in Peru from small-scale to large-scale agro-industrial. For example, in a recent interview, United Cacao CEO Dennis Melka stated that his company is trying to replicate the agro-industrial model used by oil palm companies in Southeast Asia[vi].

This shift is noteworthy because large-scale plantations usually come at the expense of forests, while small-scale plantations are better able to take advantage of previously cleared lands[vii]. We estimate that over 30,000 hectares of primary forest was cleared since 2000 for large-scale oil palm and cacao plantations (see below). Much less primary forest, around 575 ha, was cleared for small-scale oil palm (we have yet to evaluate small-scale cacao).

Note that we emphasize the clearing of primary forest. We conducted an additional analysis to determine whether oil palm (both small and large-scale) and cacao (just large-scale) plantations were originally sited on lands with primary forest, secondary forest, or already deforested. We defined primary forest as an area that from the earliest available Landsat, in this case 1990, was characterized by dense closed canopy forest cover.

The following is a concise breakdown of how we calculated the 30,000 ha of primary forest loss from large-scale plantations.

MAAP articles #2, #9, and #13 demonstrated that 2,276 ha of primary forest was cleared by United Cacao between May 2013 and September 2015 outside of the town of Tamshiyacu in the northern Peruvian Amazon (Loreto region).

MAAP article #4 detailed the deforestation of 9,400 ha of primary forest (plus an additional 2,350 ha of secondary forest) between 2011 and 2015 for two large-scale oil palm projects near the town of Nueva Requena in the central Peruvian Amazon (Department of Ucayali).

In addition, yet unpublished MAAP analysis shows that in Palmas de Shanusi/Oriente (oil palm projects operated by the company Grupo Palmas), 6,974 ha of primary forest were cleared between 2006 and 2011, although the legally mandated 30% forest cover reserves were maintained. An additional 8,225 ha of primary forest was cleared in areas immediately surrounding the concessions.

Finally, although not yet published on MAAP, we also documented nearly 3,500 ha of primary forest loss in other large-scale oil palm projects in San Martin and Ucayali regions.

It is important to emphasize that several oil palm and cacao companies are exploiting various loopholes in the Peruvian legal framework that facilitate large-scale deforestation for agricultural projects[viii]. In fact, these companies argue that according to Peruvian law, they are engaged in legal “forest clearing”, not illegal “deforestation”[ix].

Gold Mining

Image S1c. Gold mining deforestation in the Peruvian Amazon. Numbers indicate relevant MAAP article. Data: SERNANP, IBC, MINAM-PNCB/MINAGRI-SERFOR, MAAP.
Image S1c. Gold mining deforestation in the Peruvian Amazon. Numbers indicate relevant MAAP article. Data: SERNANP, IBC, MINAM-PNCB/MINAGRI-SERFOR, MAAP.

Image S1c illustrates that gold mining-driven deforestation is largely concentrated in the southern Peruvian Amazon, particularly in the region of Madre de Dios and adjacent Cusco.

According to the scientific literature, gold mining deforestation in Madre de Dios increased from 10,000 ha in 2000 to 50,000 ha in 2012[x]. MAAP articles #1, #5, and #12 documented the deforestation of an additional 2,774 ha between 2013 and 2015 in two gold mining hotspots (La Pampa and Upper Malinowski), both of which are located within the buffer zone of the Tambopata National Reserve. In addition, MAAP #6 showed gold mining deforestation expanding from another Madre de Dios gold mining hotspot (Huepetuhe) into the tip of Amarakaeri Communal Reserve (11 ha).

Much of the Madre de Dios gold mining deforestation described above is illegal because it is occurring within and around protected areas where mining is not permitted under the government-led formalization process.

MAAP articles #6 and #14 detailed recent gold mining deforestation in the region of Cusco. Specifically, we documented the deforestation of 967 ha along the Nuciniscato River and its major tributaries since 2000 (with the vast majority occurring since 2010). Much of this deforestation appears to be linked to gold mining.

Thus, the total documented gold mining deforestation in Madre de Dios and adjacent Cusco is at least 53,750 ha[xi], over 80% of which has occurred since 2000. This total is an underestimate since we have not yet done detailed studies for 2013 – 2015 deforestation in all of the known gold mining zones in these two regions.

In addition, MAAP #7 showed two gold mining zones in the region of Ucayali (along the Sheshea and Abujao Rivers, respectively). Much of this deforestation occurred between 2000 and 2012.

Finally, there are also reports of extensive gold mining in northern Peru (the regions of Amazonas and Loreto) but we do not yet have data showing that it is causing deforestation.

Coca

Image S1d. Coca cultivation areas in the Peruvian Amazon. Numbers indicate relevant MAAP article. Data: UNODC 2014, MINAM-PNCB/MINAGRI-SERFOR, SERNANP, NatureServe.
Image S1d. Coca cultivation areas in the Peruvian Amazon. Numbers indicate relevant MAAP article. Data: UNODC 2014, MINAM-PNCB/MINAGRI-SERFOR, SERNANP, NatureServe.

Although the most recent report from the United Nations Office on Drugs and Crime (UNODC) indicates that overall coca cultivation is declining in Peru[xii], our research finds that it remains a major driver of deforestation in certain areas, particularly within and around several remote protected areas.

Image S1d displays the distribution of current coca-cultivation areas (in relation to protected areas) based on the data from the latest United Nations report. Of these areas, we have thus far focused on the three detailed below.

MAAP articles #7 and #8 show recent coca-related deforestation within the southern section of the Sierra del Divisor Reserved Zone. This area is particularly important because it is soon slated to be upgraded to a national park. Specifically, we documented coca-related deforestation of 130 ha between 2013 and 2014 within the southwestern section of the reserve, and, most recently, a new plantation of 13 ha during June 2015 within the southeast section.

MAAP article #10 revealed that shifting agricultural cultivation, that includes coca, is also a major issue within and around Bahuaja Sonene National Park, located in the southern Peruvian Amazon. Specifically, we found the recent deforestation of 538 hectares within the southern section of the Park, and an additional 2,100 hectares in the surrounding buffer zone. Much of this deforestation is likely linked to coca cultivation since the latest United Nations report indicates these areas contain high coca plantation densities.

MAAP article #14 documents the deforestation of 477 ha along the Nojonunta River in Cusco since 2000 (with a major peak since 2010). Much of this deforestation is likely linked to coca cultivation since the latest United Nations report indicates these areas contain medium to high coca plantation densities. 

Logging Roads

Image S1e. Logging roads in the Peruvian Amazon. Numbers indicate relevant MAAP article. Data: SERNANP, IBC, MINAM-PNCB/MINAGRI-SERFOR, MINAGRI, MAAP.
Image S1e. Logging roads in the Peruvian Amazon. Numbers indicate relevant MAAP article. Data: SERNANP, IBC, MINAM-PNCB/MINAGRI-SERFOR, MINAGRI, MAAP.

One of the major advances discovered in this work is the ability to identify the expansion of new logging roads. This advance is important because it is extremely difficult to detect illegal logging in satellite imagery because loggers in the Amazon often selectively cut high value species and do not produce large clearings. But now, although it remains difficult to detect the actual selective logging, we can detect the roads that indicate that selective logging is taking place in that area.

Image S1e illustrates the likely logging roads that we have recently detected. Of these areas, we have thus far focused on the two detailed below.

MAAP article #3 shows the rapid proliferation of two new road networks in the northern Peruvian Amazon (Loreto region). Most notably, it highlights the construction of 148 km of new roads, possibly illegal logging roads, through mostly primary forest between 2013 and 2014. One of the roads is within the buffer zone of the Cordillera Azul National Park.

In addition, MAAP article #7 shows the expansion of new logging roads near both the southern and northwestern sections of the Sierra del Divisor Reserved Zone. In both cases, the expansion is very recent (between 2013 and 2015).

 

[i] National Program of Forest Conservation for the Mitigation of Climate Change – PNCB.

[ii] Servicio Nacional Forestal y de Fauna Silvestre – SERFOR

[iii] MINAGRI-SERFOR/MINAM-PNCB (2015) Compartiendo una visión para la prevención, control y sanción de la deforestación y tala ilegal.

[iv] Note that some of the documented forest loss may come from natural causes, such as landslides or meandering rivers.

[v] MINAM (2013) Fondo Cooperativo Para El Carbono de los Bosques (FCPF) Plantilla de Propuesta para la Fase de Preparación para REDD+ (Readiness Plan Proposal – RPP). Link: http://www.minam.gob.pe/cambioclimatico/wp-content/uploads/sites/11/2014/03/R-PP-Per%C3%BA-Final-Dec-2013-RESALTADO_FINAL_PUBLICADA-FCPF_24-febrero.pdf

[vi] NF Joan (2015) United Cacao replicates Southeast Asia’s plantation model in Peru, says CEO Melka. The Edge Singapore.Link: http://www.unitedcacao.com/images/media-articles/20150713-the-edge-united-cacao.pdf

[vii] Gutiérrez-Vélez VH, DeFries R, Pinedo-Vásquez M, et al. (2011) High-yield oil palm expansion spares land at the expense of forests in the Peruvian Amazon. Environ. Res. Lett., 6, 044029. Link: http://iopscience.iop.org/article/10.1088/1748-9326/6/4/044029/pdf

[viii] Environmental Investigation Agency (2015) Deforestation by Definition. Washington, DC. Link: http://eia-global.org/news-media/deforestation-by-definition

[ix] Tello Pereyra R (2015) Situacion legal, judicial, y administrativa de  Cacao del Peru Norte SAC. Link: https://www.youtube.com/watch?v=p_YIe70u1oA

[x] Asner GP, Llactayo W, Tupayachia R, Ráez Luna E (2013) PNAS 110 (46) 18454-18459. Link: http://www.pnas.org/content/110/46/18454.abstract

[xi] That is, 50,000 ha from the literature and 3,750 ha from MAAP analysis.

[xii] UNODC (2015) Monitoreo de cultivos ilícitos Perú 2014. Link: https://www.unodc.org/documents/crop-monitoring/Peru/Peru_Informe_monitoreo_coca_2014_web.pdf

Citation

Finer M, Novoa S (2015) Patterns and Drivers of Deforestation in the Peruvian Amazon. MAAP Synthesis #1. Link: https://maaproject.org/2015/09/maap-synthesis1/