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The integration of empirical, remote sensing and modelling approaches enhances insight in the role of biodiversity in climate change mitigation by tropical forests

Authors

Sande,  M. T. van der
External Organizations;

Poorter,  L.
External Organizations;

Balvanera,  P.
External Organizations;

Kooistra,  L.
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/persons/resource/Kirsten.Thonicke

Thonicke,  Kirsten
Potsdam Institute for Climate Impact Research;

/persons/resource/Alice.Boit

Boit,  Alice
Potsdam Institute for Climate Impact Research;

Dutrieux,  L. P.
External Organizations;

Equihua,  J.
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Gerard,  F.
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Herold,  M.
External Organizations;

Kolb,  M.
External Organizations;

Simões,  M.
External Organizations;

Peña-Claros,  M.
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Citation

Sande, M. T. v. d., Poorter, L., Balvanera, P., Kooistra, L., Thonicke, K., Boit, A., Dutrieux, L. P., Equihua, J., Gerard, F., Herold, M., Kolb, M., Simões, M., Peña-Claros, M. (2017): The integration of empirical, remote sensing and modelling approaches enhances insight in the role of biodiversity in climate change mitigation by tropical forests. - Current Opinion in Environmental Sustainability, 26-27, 69-76.
https://doi.org/10.1016/j.cosust.2017.01.016


Cite as: https://publications.pik-potsdam.de/pubman/item/item_21563
Abstract
Tropical forests store and sequester high amounts of carbon and are the most diverse terrestrial ecosystem. A complete understanding of the relationship between biodiversity and carbon storage and sequestration across spatiotemporal scales relevant for climate change mitigation needs three approaches: empirical, remote sensing and ecosystem modelling. We review individual approaches and show that biodiversity has short-term and long-term benefits across spatial scales. We argue that enhanced understanding is obtained by combining approaches and, especially, integrating approaches through using ‘boundary objects’ that can be understood and measured by all approaches, such as diversity of leaf traits of the upper canopy. This will lead to better understanding of biodiversity effects on climate change mitigation, which is crucial for making sound policy decisions.