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Enhanced science-stakeholder communication to improve ecosystem model performances for climate change impact assessments.

Jönsson, Anna Maria LU ; Anderbrant, Olle LU ; Holmér, Jennie LU ; Johansson, Jacob LU ; Schurgers, Guy LU ; Svensson, Glenn LU and Smith, Henrik LU (2015) In Ambio 44(3). p.249-255
Abstract
In recent years, climate impact assessments of relevance to the agricultural and forestry sectors have received considerable attention. Current ecosystem models commonly capture the effect of a warmer climate on biomass production, but they rarely sufficiently capture potential losses caused by pests, pathogens and extreme weather events. In addition, alternative management regimes may not be integrated in the models. A way to improve the quality of climate impact assessments is to increase the science-stakeholder collaboration, and in a two-way dialog link empirical experience and impact modelling with policy and strategies for sustainable management. In this paper we give a brief overview of different ecosystem modelling methods, discuss... (More)
In recent years, climate impact assessments of relevance to the agricultural and forestry sectors have received considerable attention. Current ecosystem models commonly capture the effect of a warmer climate on biomass production, but they rarely sufficiently capture potential losses caused by pests, pathogens and extreme weather events. In addition, alternative management regimes may not be integrated in the models. A way to improve the quality of climate impact assessments is to increase the science-stakeholder collaboration, and in a two-way dialog link empirical experience and impact modelling with policy and strategies for sustainable management. In this paper we give a brief overview of different ecosystem modelling methods, discuss how to include ecological and management aspects, and highlight the importance of science-stakeholder communication. By this, we hope to stimulate a discussion among the science-stakeholder communities on how to quantify the potential for climate change adaptation by improving the realism in the models. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Ambio
volume
44
issue
3
pages
249 - 255
publisher
Springer
external identifiers
  • pmid:25238981
  • wos:000351293600009
  • scopus:84925517662
ISSN
0044-7447
DOI
10.1007/s13280-014-0553-4
project
MERGE
BECC
language
English
LU publication?
yes
id
78b41759-d2ba-4aba-99a6-0f477d4da5cf (old id 4691201)
date added to LUP
2014-10-08 11:14:19
date last changed
2017-01-01 06:20:13
@article{78b41759-d2ba-4aba-99a6-0f477d4da5cf,
  abstract     = {In recent years, climate impact assessments of relevance to the agricultural and forestry sectors have received considerable attention. Current ecosystem models commonly capture the effect of a warmer climate on biomass production, but they rarely sufficiently capture potential losses caused by pests, pathogens and extreme weather events. In addition, alternative management regimes may not be integrated in the models. A way to improve the quality of climate impact assessments is to increase the science-stakeholder collaboration, and in a two-way dialog link empirical experience and impact modelling with policy and strategies for sustainable management. In this paper we give a brief overview of different ecosystem modelling methods, discuss how to include ecological and management aspects, and highlight the importance of science-stakeholder communication. By this, we hope to stimulate a discussion among the science-stakeholder communities on how to quantify the potential for climate change adaptation by improving the realism in the models.},
  author       = {Jönsson, Anna Maria and Anderbrant, Olle and Holmér, Jennie and Johansson, Jacob and Schurgers, Guy and Svensson, Glenn and Smith, Henrik},
  issn         = {0044-7447},
  language     = {eng},
  number       = {3},
  pages        = {249--255},
  publisher    = {Springer},
  series       = {Ambio},
  title        = {Enhanced science-stakeholder communication to improve ecosystem model performances for climate change impact assessments.},
  url          = {http://dx.doi.org/10.1007/s13280-014-0553-4},
  volume       = {44},
  year         = {2015},
}