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. 2017 Jun 13;7:3334. doi: 10.1038/s41598-017-03500-7

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© The Author(s) 2017

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Comparisons of carbon properties between inaccessible and accessible forest and grassland (a–c) and comparison of potential and actual landscape carbon stocks (d). (a–c) Comparisons of carbon contents in Soil Organic Carbon (SOC) (a), root biomass (b) and aboveground biomass of trees (c). Significant relationships between the structural properties and fixed effects, found upon analysis using GLMM’s, are noted within the figures (**p < 0.01, *p < 0.05, p < 0.1; Table S18). (d) Estimated values of the potential (green) and current (yellow) carbon stocks for aboveground tree carbon, root carbon and soil organic carbon (SOC) at the landscape scale for the high elevation area mapped of the Cordillera Urubamba. Values estimated using carbon stock values from inaccessible and accessible forest and grassland (Table S8) extrapolated over the areas calculated using landscape mapping (132,660 km²; Tables S1 and S9). Actual values of the carbon stocks can be found in Table S9.