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

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Enhanced science-stakeholder communication to improve ecosystem model performances for climate change impact assessments. / Jonsson, Anna Maria; Anderbrant, Olle; Holmer, Jennie; Johansson, Jacob; Schurgers, Guy; Svensson, Glenn P.; Smith, Henrik G.

I: Ambio, Bind 44, Nr. 3, 04.2015, s. 249-255.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Jonsson, AM, Anderbrant, O, Holmer, J, Johansson, J, Schurgers, G, Svensson, GP & Smith, HG 2015, 'Enhanced science-stakeholder communication to improve ecosystem model performances for climate change impact assessments', Ambio, bind 44, nr. 3, s. 249-255. https://doi.org/10.1007/s13280-014-0553-4

APA

Jonsson, A. M., Anderbrant, O., Holmer, J., Johansson, J., Schurgers, G., Svensson, G. P., & Smith, H. G. (2015). Enhanced science-stakeholder communication to improve ecosystem model performances for climate change impact assessments. Ambio, 44(3), 249-255. https://doi.org/10.1007/s13280-014-0553-4

Vancouver

Jonsson AM, Anderbrant O, Holmer J, Johansson J, Schurgers G, Svensson GP o.a. Enhanced science-stakeholder communication to improve ecosystem model performances for climate change impact assessments. Ambio. 2015 apr.;44(3):249-255. https://doi.org/10.1007/s13280-014-0553-4

Author

Jonsson, Anna Maria ; Anderbrant, Olle ; Holmer, Jennie ; Johansson, Jacob ; Schurgers, Guy ; Svensson, Glenn P. ; Smith, Henrik G. / Enhanced science-stakeholder communication to improve ecosystem model performances for climate change impact assessments. I: Ambio. 2015 ; Bind 44, Nr. 3. s. 249-255.

Bibtex

@article{526edb54105e4d06a2ead1910e9cbe4c,
title = "Enhanced science-stakeholder communication to improve ecosystem model performances for climate change impact assessments",
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.",
keywords = "Sustainable management, Agriculture, Forestry, Nature conservation, Adaptation strategies",
author = "Jonsson, {Anna Maria} and Olle Anderbrant and Jennie Holmer and Jacob Johansson and Guy Schurgers and Svensson, {Glenn P.} and Smith, {Henrik G.}",
year = "2015",
month = apr,
doi = "10.1007/s13280-014-0553-4",
language = "English",
volume = "44",
pages = "249--255",
journal = "Ambio",
issn = "0044-7447",
publisher = "Springer",
number = "3",

}

RIS

TY - JOUR

T1 - Enhanced science-stakeholder communication to improve ecosystem model performances for climate change impact assessments

AU - Jonsson, Anna Maria

AU - Anderbrant, Olle

AU - Holmer, Jennie

AU - Johansson, Jacob

AU - Schurgers, Guy

AU - Svensson, Glenn P.

AU - Smith, Henrik G.

PY - 2015/4

Y1 - 2015/4

N2 - 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.

AB - 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.

KW - Sustainable management

KW - Agriculture

KW - Forestry

KW - Nature conservation

KW - Adaptation strategies

U2 - 10.1007/s13280-014-0553-4

DO - 10.1007/s13280-014-0553-4

M3 - Journal article

C2 - 25238981

VL - 44

SP - 249

EP - 255

JO - Ambio

JF - Ambio

SN - 0044-7447

IS - 3

ER -

ID: 135647581