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 C. 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 C. Zemp, Kirsten Thonicke

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

2 Citations (Scopus)

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
Editors	Matthias Schröter, Aletta Bonn, Stefan Klotz, Ralf Seppelt, Cornelia Baessler
Publisher	Springer
Chapter	10
Pages	57-61
ISBN (Electronic)	9783319962290
ISBN (Print)	9783319962283
DOIs	https://doi.org/10.1007/978-3-319-96229-0_10
Publication status	Published - 1 Feb 2019

UN SDGs

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

Access to Document

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

Cite this

Boit, A., Sakschewski, B., Boysen, L., Cano-Crespo, A., Clement, J., Garcia Alaniz, N., 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 M. Schröter, A. Bonn, S. Klotz, R. Seppelt, & C. Baessler (Eds.), Atlas of Ecosystem Services: Drivers, Risks, and Societal Responses (pp. 57-61). Springer. https://doi.org/10.1007/978-3-319-96229-0_10

@inbook{665466f4dc35426fa308638c7c7fcc09,

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.",

author = "Alice Boit and Boris Sakschewski and Lena Boysen and Ana Cano-Crespo and Jan Clement and \{Garcia Alaniz\}, Nashieli 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 C.\} and Kirsten Thonicke",

year = "2019",

month = feb,

day = "1",

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

language = "English",

isbn = "9783319962283",

pages = "57--61",

editor = "Matthias Schr{\"o}ter and Aletta Bonn and Stefan Klotz and Ralf Seppelt and Cornelia Baessler",

booktitle = "Atlas of Ecosystem Services",

publisher = "Springer",

address = "Germany",

}

Boit, A, Sakschewski, B, Boysen, L, Cano-Crespo, A, Clement, J, Garcia Alaniz, N, 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 M Schröter, A Bonn, S Klotz, R Seppelt & C Baessler (eds), Atlas of Ecosystem Services: Drivers, Risks, and Societal Responses. Springer, pp. 57-61. https://doi.org/10.1007/978-3-319-96229-0_10

Using Dynamic Global Vegetation Models (DGVMs) for Projecting Ecosystem Services at Regional Scales. / Boit, Alice; Sakschewski, Boris; Boysen, Lena et al.
Atlas of Ecosystem Services: Drivers, Risks, and Societal Responses. ed. / Matthias Schröter; Aletta Bonn; Stefan Klotz; Ralf Seppelt; Cornelia Baessler. Springer, 2019. p. 57-61.

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

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 - Garcia Alaniz, Nashieli

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 C.

AU - Thonicke, Kirsten

PY - 2019/2/1

Y1 - 2019/2/1

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.

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

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

M3 - Chapter

SN - 9783319962283

SP - 57

EP - 61

BT - Atlas of Ecosystem Services

A2 - Schröter, Matthias

A2 - Bonn, Aletta

A2 - Klotz, Stefan

A2 - Seppelt, Ralf

A2 - Baessler, Cornelia

PB - Springer

ER -

Boit A, Sakschewski B, Boysen L, Cano-Crespo A, Clement J, Garcia Alaniz N et al. Using Dynamic Global Vegetation Models (DGVMs) for Projecting Ecosystem Services at Regional Scales. In Schröter M, Bonn A, Klotz S, Seppelt R, Baessler C, editors, Atlas of Ecosystem Services: Drivers, Risks, and Societal Responses. Springer. 2019. p. 57-61 doi: 10.1007/978-3-319-96229-0_10

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

Abstract

UN SDGs

Access to Document

Fingerprint

Cite this