| Title |
Enhanced science–stakeholder communication to improve ecosystem model performances for climate change impact assessments
|
|---|---|
| Published in |
Ambio, September 2014
|
| DOI | 10.1007/s13280-014-0553-4 |
| Pubmed ID | |
| Authors |
Anna Maria Jönsson, Olle Anderbrant, Jennie Holmér, Jacob Johansson, Guy Schurgers, Glenn P. Svensson, Henrik G. Smith |
| 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. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 1% |
| Netherlands | 1 | 1% |
| France | 1 | 1% |
| Unknown | 81 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 29% |
| Student > Master | 12 | 14% |
| Student > Ph. D. Student | 12 | 14% |
| Student > Bachelor | 6 | 7% |
| Other | 4 | 5% |
| Other | 14 | 17% |
| Unknown | 12 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 25 | 30% |
| Agricultural and Biological Sciences | 21 | 25% |
| Social Sciences | 9 | 11% |
| Business, Management and Accounting | 4 | 5% |
| Engineering | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 16 | 19% |
Attention Score in Context
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#17,750,476
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Outputs from Ambio
#1,511
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Outputs of similar age
#168,422
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Outputs of similar age from Ambio
#9
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