Effects of climate change on grassland biodiversity and productivity: the need for a diversity of models

Van Oijen, Marcel; Bellocchi, Gianni; Höglind, Mats. 2018 Effects of climate change on grassland biodiversity and productivity: the need for a diversity of models [in special issue: Climate change in agriculture: impacts and adaptations] Agronomy, 8 (2), 14. 15, pp. 10.3390/agronomy8020014

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Official URL: http://dx.doi.org/10.3390/agronomy8020014

Abstract/Summary

There is increasing evidence that the impact of climate change on the productivity of grasslands will at least partly depend on their biodiversity. A high level of biodiversity may confer stability to grassland ecosystems against environmental change, but there are also direct effects of biodiversity on the quantity and quality of grassland productivity. To explain the manifold interactions, and to predict future climatic responses, models may be used. However, models designed for studying the interaction between biodiversity and productivity tend to be structurally different from models for studying the effects of climatic impacts. Here we review the literature on the impacts of climate change on biodiversity and productivity of grasslands. We first discuss the availability of data for model development. Then we analyse strengths and weaknesses of three types of model: ecological, process-based and integrated. We discuss the merits of this model diversity and the scope for merging different model types.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.3390/agronomy8020014
UKCEH and CEH Sections/Science Areas:	Atmospheric Chemistry and Effects (Science Area 2017-)
ISSN:	2073-4395
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	data needs, empirical models, integrated models, process-based models, review
NORA Subject Terms:	Ecology and Environment Agriculture and Soil Science Data and Information
Date made live:	05 Feb 2018 12:53 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/519213

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.3390/agronomy8020014

UKCEH and CEH Sections/Science Areas:

Atmospheric Chemistry and Effects (Science Area 2017-)

ISSN:

2073-4395

Additional Information. Not used in RCUK Gateway to Research.:

Open Access paper - full text available via Official URL link.

Additional Keywords:

data needs, empirical models, integrated models, process-based models, review