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

Alice Boit; Boris Sakschewski; Lena Boysen; Ana Cano-Crespo; Jan Clement; Nashieli Garcia Alaniz; Kasper Kok; Melanie Kolb; Fanny Langerwisch; Anja Rammig; René Sachse; Michiel van Eupen; Werner von Bloh; Delphine Clara Zemp; Kirsten Thonicke

doi:10.1007/978-3-319-96229-0_10

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

Alice Boit
, Boris Sakschewski
, Lena Boysen
, Ana Cano-Crespo
, Jan Clement
, Nashieli Garcia Alaniz
, Kasper Kok
, Melanie Kolb
, Fanny Langerwisch
, Anja Rammig
, René Sachse
, Michiel van Eupen
, Werner von Bloh
, Delphine Clara Zemp
, Kirsten Thonicke

Associate Professorship of Land Surface - Atmosphere Interactions

Potsdam Institute for Climate Impact Research (PIK)–Member of the Leibniz Association
University of Potsdam
Wageningen University and Research Centre
CONABIO
Universidad Nacional Autónoma de México
National Commission for the Knowledge and Use of Biodiversity (CONABIO)
Georg August Universität Göttingen

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Atlas of Ecosystem Services
Subtitle of host publication	Drivers, Risks, and Societal Responses
Publisher	Springer Science+Business Media
Pages	57-61
Number of pages	5
ISBN (Electronic)	9783319962290
ISBN (Print)	9783319962283
DOIs	https://doi.org/10.1007/978-3-319-96229-0_10
State	Published - 1 Jan 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action
SDG 15 Life on Land

Keywords

Climate change
Ecosystem services
Land-use change
Valuation

Access to Document

10.1007/978-3-319-96229-0_10

Cite this

Boit, A., Sakschewski, B., Boysen, L., Cano-Crespo, A., Clement, J., Alaniz, N. G., Kok, K., Kolb, M., Langerwisch, F., Rammig, A., Sachse, R., van Eupen, M., von Bloh, W., Zemp, D. C., & Thonicke, K. (2019). Using Dynamic Global Vegetation Models (DGVMs) for Projecting Ecosystem Services at Regional Scales. In Atlas of Ecosystem Services: Drivers, Risks, and Societal Responses (pp. 57-61). Springer Science+Business Media. https://doi.org/10.1007/978-3-319-96229-0_10

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title = "Using Dynamic Global Vegetation Models (DGVMs) for Projecting Ecosystem Services at Regional Scales",

abstract = "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.",

keywords = "Climate change, Ecosystem services, Land-use change, Valuation",

author = "Alice Boit and Boris Sakschewski and Lena Boysen and Ana Cano-Crespo and Jan Clement and Alaniz, \{Nashieli Garcia\} and Kasper Kok and Melanie Kolb and Fanny Langerwisch and Anja Rammig and Ren{\'e} Sachse and \{van Eupen\}, Michiel and \{von Bloh\}, Werner and Zemp, \{Delphine Clara\} and Kirsten Thonicke",

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doi = "10.1007/978-3-319-96229-0\_10",

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Boit, A, Sakschewski, B, Boysen, L, Cano-Crespo, A, Clement, J, Alaniz, NG, Kok, K, Kolb, M, Langerwisch, F, Rammig, A, Sachse, R, van Eupen, M, von Bloh, W, Zemp, DC & Thonicke, K 2019, Using Dynamic Global Vegetation Models (DGVMs) for Projecting Ecosystem Services at Regional Scales. in Atlas of Ecosystem Services: Drivers, Risks, and Societal Responses. Springer Science+Business Media, pp. 57-61. https://doi.org/10.1007/978-3-319-96229-0_10

TY - CHAP

T1 - Using Dynamic Global Vegetation Models (DGVMs) for Projecting Ecosystem Services at Regional Scales

AU - Boit, Alice

AU - Sakschewski, Boris

AU - Boysen, Lena

AU - Cano-Crespo, Ana

AU - Clement, Jan

AU - Alaniz, Nashieli Garcia

AU - Kok, Kasper

AU - Kolb, Melanie

AU - Langerwisch, Fanny

AU - Rammig, Anja

AU - Sachse, René

AU - van Eupen, Michiel

AU - von Bloh, Werner

AU - Zemp, Delphine Clara

AU - Thonicke, Kirsten

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

KW - Climate change

KW - Ecosystem services

KW - Land-use change

KW - Valuation

UR - https://www.scopus.com/pages/publications/105009110544

U2 - 10.1007/978-3-319-96229-0_10

DO - 10.1007/978-3-319-96229-0_10

M3 - Chapter

AN - SCOPUS:105009110544

SN - 9783319962283

SP - 57

EP - 61

BT - Atlas of Ecosystem Services

PB - Springer Science+Business Media

ER -

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

Abstract

UN SDGs

Keywords

Access to Document

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