English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Evaluating the productivity of four main tree species in Germany under climate change with static reduced models

Gutsch, M., Lasch-Born, P., Suckow, F., Reyer, C. P. O. (2016): Evaluating the productivity of four main tree species in Germany under climate change with static reduced models. - Annals of Forest Science, 73, 2, 401-410.
https://doi.org/10.1007/s13595-015-0532-3

Item is

Files

show Files
hide Files
:
6987.pdf (Publisher version), 749KB
 
File Permalink:
-
Name:
6987.pdf
Description:
-
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Gutsch, Martin1, Author              
Lasch-Born, Petra1, Author              
Suckow, Felicitas1, Author              
Reyer, Christopher P. O.1, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              

Content

show
hide
Free keywords: -
 Abstract: Key message We present simple models of forest net primary production (NPP) in Germany that show increasing productivity, especially in mountainous areas, under warming unless water becomes a limiting factor. They can be used for spatially explicit, rapid climate impact assessment. Context Climate impact studies largely rely on process-based forest models generally requiring detailed input data which are not everywhere available. Aims This study aims to derive simple models with low data requirements which allow calculation of NPP and analysis of climate impacts using many climate scenarios at a large amount of sites. Methods We fitted regression functions to the output of simulation experiments conducted with the process-based forest model 4C at 2342 climate stations in Germany for four main tree species on four different soil types and two time periods, 1951–2006 and 2031–2060. Results The regression functions showed a reasonable fit to measured NPP datasets. Temperature increase of up to 3 K leads to positive effects on NPP. In water-limited regions, this positive effect is dependent on the length of drought periods. The highest NPP increase occurs in mountainous regions. Conclusion Rapid analyses, using reduced models as presented here, can complement more detailed analyses with process-based models. Especially for dry sites, we recommend further study of climate impacts with process-based models or detailed measurements.

Details

show
hide
Language(s):
 Dates: 2016
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1007/s13595-015-0532-3
PIKDOMAIN: Climate Impacts & Vulnerabilities - Research Domain II
eDoc: 6987
Research topic keyword: Climate impacts
Research topic keyword: Ecosystems
Model / method: 4C
Regional keyword: Germany
Organisational keyword: RD2 - Climate Resilience
Working Group: Forest and Ecosystem Resilience
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Annals of Forest Science
Source Genre: Journal, SCI, Scopus, p3
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 73 (2) Sequence Number: - Start / End Page: 401 - 410 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/151216
Publisher: Springer