2017-06-14
Peru Case
Reserva Comunal Yanesha
-9.864°
-9.999°
-10.134°
-10.269°
-10.405°
-10.54°
-10.675°
10 km
5 mi
-75.938°
-75.801°

AREA 31 714 ha
-75.663°
-75.526°
-75.389°
-75.251°
-75.114°
-74.977°
-74.839°
-74.702°

PERIMETER 178 194 m
Query Results
Reserva Comunal Yanesha
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Above-ground Carbon, Asner et al. (2014)


Total Carbon (2012-13) 2 990 291 tC
Average Carbon Density (2012-13) 94 tC/ha
Source data: The carbon map for Peru was produced by Asner et al. (2014) at the Carnegie Airborne
Observatorry.
Reserva Comunal Yanesha
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Peru Case
Carbon in Vegetation Types
Area in Vegetation Types (Asner, et al)
Vegetation
Total C in Vegetation Types (Asner, et al)
Area
[ha]
%
Avg Carbon
[tC/ha]
Total Carbon
[tC]
Tree cover, broadleaved, evergreen, closed to open
31 724 100 94
2 985 346
(>15%)
Tree cover, flooded, fresh or brakish water
55
0.17 60
3 281
Source data: The carbon map for Peru was produced by Asner et al. (2014) at the Carnegie Airborne
Observatorry. Please note differences in the Vegetation (ESA CCI 2010) and Carbon data sources and
resolutions, imply that the total carbon reported in this table is slightly different from that reported for the
carbon maps (see tabs above).
Reserva Comunal Yanesha
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Peru Case
Comparing Carbon Estimates from Pantropical C Maps
5M
150
125
Avg Carbon Density [tC/ha]
Total Carbon [tC]
4M
3M
2M
1M
100
75
50
25
0M
0
Saatchi et al (2012) [tC/Ha]
Baccini et al (2012) [tC/Ha]
Study
Reserva Comunal Yanesha
Saatchi et al (2012) [tC/Ha]
Baccini et al (2012) [tC/Ha]
Study
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Population Density within the Area



Ave population density 3.1
Min population density 3.0
Max population density 8.0
people/km²
people/km²
people/km²
The result is taken from the GRUMP dataset as displayed on the map under 'Layers' (Accessed January
2013). Data source: Gridded Population of the World
Reserva Comunal Yanesha
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Appendix I : Display Layers
Baccini et al. (2012) [tC/Ha]
Description: This is a global carbon map produced at a 500m resolution by a research group based at the
Woods Hole Research Centre, published in the journal Nature Climate Change in 2012 .
Input Data: This has been calculated by combining ground and satellite datasets. More information can be
found at this accompanying website.
Saatchi et al. (2011) [tC/Ha]
Description: This is a global carbon map produced at a 1 km resolution by a research group led by Sassan
Saatchi at the NASA Jet Propulsion Laboratory, published in the article 2011 Benchmark map of forest carbon
stocks in tropical regions across three continents. in 2011 in the journal Proceedings of the National Academy of
Sciences.
Input Data: Carbon density estimated as 50% of above-ground biomass and below-ground biomass at 1 km
resolution, derived from a variety of remote sensing products and in situ forest plots. Covering Pantropical areas
of the Americas, Africa and Asia.
Peru 2012-13 (100m)
Map of mean aboveground carbon density (ACD) at a resolution of one hectare for Peru . Mapping units
are metric tons (megagrams or Mg) of carbon per hectare. The method applied combined airborne LiDAR, field
plot inventory, and satellite data with a machine learning (Random Forests) approach reported by Asner et al.
(2014a). This map represents all woody vegetation with diameter at breast height (DBH) greater than or equal
to 5 cm. The map represents the vegetation as imaged in 2012-2013.
See also Asner et al. (2014b).
ESA CCI 2010 Land Cover 300m
Description: The ESA CCI Land Cover product consists of a 3-epoch series of global land cover maps at 300m
spatial resolution, where each epoch covers a 5-year period (2008-2012, 2003-2007, 1998-2002). These maps
were produced using a multi-year and multi-sensor strategy in order to make use of all suitable data and
maximize product consistency.
Source: European Space Agency (ESA)
Legend:
Appendix I : Display Layers
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Altomayo Land Use Land Cover
**Daniele please provide information about the source of this data and I will add it here***
The legend of the data layer is as follows:
Appendix I : Display Layers
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Appendix I : Display Layers
2017-06-14
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Population Density (CIESIN)
Description: Global map showing population density for the year 2000. It was produced by combining census
data with satellite data. This data set is produced by the Columbia University Center for International Earth
Science Information Network (CIESIN) in collaboration with the International Food Policy Research Institute
(IFPRI), The World Bank, and Centro Internacional de Agricultura Tropical (CIAT)
Source: Center for International Earth Science Information Network - CIESIN - Columbia University,
International Food Policy Research Institute - IFPRI, The World Bank, and Centro Internacional de Agricultura
Tropical - CIAT. 2011. Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Population Density Grid.
Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC).
http://dx.doi.org/10.7927/H4R20Z93. Accessed 4 December 2013.
Protected Areas
Other areas of interest
Appendix I : Display Layers
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Appendix II : Analysis
Above-ground Carbon, Asner et al. (2014)
Local Land Cover Land Use
Carbon in Vegetation Types
Comparing Carbon Estimates from Pantropical C Maps
Population Density within the Area
Appendix II : Analysis
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Appendix III: Ecometrica
Our Ecosystem
Our Ecosystem (OE) is a ground-breaking mapping platform that combines powerful data sharing and querying
capabilities with satellite imagery and analytical tools, allowing you to easily monitor your worldwide operations,
review historic changes or impacts, and assess potential risks and opportunities.
It provides a platform for building and sharing mission-critical data projects in many situations around the world,
such as:
Monitoring supply chain impacts and information
Scoping and due diligence on investments in land based assets
Environmental Impact Assessment for infrastructure projects and new development
Mapping and quantification of resources, impacts, risks and opportunities
Demonstrating or checking compliance to environmental legislation or green claims
Monitoring changes to vegetation, water and other resources in your areas of interest
Disaster response management and evaluation of aid programmes
Ecometrica
Ecometrica creates intelligent software to clarify the understanding of environmental impacts. Our mission is to
make environmental accounting accessible to all organisations through web- based services that distil our
knowledge and experience. We are approachable and passionate experts who will provide correct answers to
your GHG and spatial data information questions.
Our approach is to bring clarity to environmental metrics though the application of intelligent, accurate and
intuitive market-leading SaaS solutions. We work with partners and provide tools to deliver accurate, complete
and relevant information faster and more efficiently than any other method. Ecometrica services strive to bring
value-added environmental benefits to any organisation.
Our analysts have strong international research expertise and over 50 years of combined experience in
environmental accounting. Our knowledge and experience is highly sought- after, and our senior team are often
invited to train and teach on business courses including the Masters in Carbon Management at the University of
Edinburgh, business innovation at the University of Edinburgh Business School, and professional development
courses at Imperial College London.
Appendix III: Ecometrica
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