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Using Dynamic Global Vegetation Models (DGVMs) for Projecting Ecosystem Services at Regional Scales

Urheber*innen
/persons/resource/Alice.Boit

Boit,  Alice
Potsdam Institute for Climate Impact Research;

/persons/resource/Boris.Sakschewski

Sakschewski,  Boris
Potsdam Institute for Climate Impact Research;

/persons/resource/boysen

Boysen,  Lena
Potsdam Institute for Climate Impact Research;

/persons/resource/Ana.Cano-Crespo

Cano-Crespo,  Ana
Potsdam Institute for Climate Impact Research;

Clement,  J.
External Organizations;

Garcia Alaniz,  N.
External Organizations;

Kok,  K.
External Organizations;

Kolb,  M.
External Organizations;

/persons/resource/Fanny.Langerwisch

Langerwisch,  Fanny
Potsdam Institute for Climate Impact Research;

/persons/resource/Anja.Rammig

Rammig,  Anja
Potsdam Institute for Climate Impact Research;

Sachse,  R.
External Organizations;

Eupen,  M. van
External Organizations;

/persons/resource/Werner.von.Bloh

von Bloh,  Werner
Potsdam Institute for Climate Impact Research;

/persons/resource/Delphine.Clara.Zemp

Zemp,  Delphine Clara
Potsdam Institute for Climate Impact Research;

/persons/resource/Kirsten.Thonicke

Thonicke,  Kirsten
Potsdam Institute for Climate Impact Research;

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Zitation

Boit, A., Sakschewski, B., Boysen, L., Cano-Crespo, A., Clement, J., Garcia Alaniz, N., Kok, K., Kolb, M., Langerwisch, F., Rammig, A., Sachse, R., Eupen, M. v., von Bloh, W., Zemp, D. C., Thonicke, K. (2019): Using Dynamic Global Vegetation Models (DGVMs) for Projecting Ecosystem Services at Regional Scales. - In: Schröter, M., Bonn, A., Klotz, S., Seppelt, R., Baessler, C. (Eds.), Atlas of Ecosystem Services, Cham : Springer, 57-61.
https://doi.org/10.1007/978-3-319-96229-0_10


Zitierlink: https://publications.pik-potsdam.de/pubman/item/item_23147
Zusammenfassung
Climate change and land-use change are two major drivers of vegetation change causing habitat and biodiversity loss and posing a threat to the sustained provisioning of ecosystem goods and services. Following-up on the Millennium Ecosystem Assessment, the Sustainable Development Goals have been a fresh stimulus to the current interest in ecosystem services. Dynamic Global Vegetation Models (DGVMs) offer the possibility of integrating large amounts of geospatial data to quantify and project a large range of ecological variables important for ecosystem service provisioning under future scenarios. We outline how such model output could be used for projecting ecosystem service provisioning.