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Evaluating predicti...
Evaluating predictive performance of statistical models explaining wild bee abundance in a mass-flowering crop
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- Blasi, Maria (author)
- Lund University,Lunds universitet,BECC: Biodiversity and Ecosystem services in a Changing Climate,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Biodiversitet och bevarandevetenskap,Forskargrupper vid Lunds universitet,Centre for Environmental and Climate Science (CEC),Faculty of Science,Biodiversity and Conservation Science,Lund University Research Groups
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- Bartomeus, Ignasi (author)
- CSIC Estación Biológica de Doñana (EBD)
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- Bommarco, Riccardo (author)
- Swedish University of Agricultural Sciences,Lund University,Lunds universitet,Biodiversitet,Biologiska institutionen,Naturvetenskapliga fakulteten,Biodiversity,Department of Biology,Faculty of Science
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- Gagic, Vesna (author)
- Swedish University of Agricultural Sciences
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- Garratt, Michael (author)
- University of Reading
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- Holzschuh, Andrea (author)
- Julius Maximilian University of Würzburg
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- Kleijn, David (author)
- Wageningen University
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- Lindström, Sandra A.M. (author)
- Sveriges lantbruksuniversitet,Lund University,Lunds universitet,Uppsala University,Swedish University of Agricultural Sciences,Molekylär ekologi och evolution,Forskargrupper vid Lunds universitet,Molecular Ecology and Evolution Lab,Lund University Research Groups,Swedish Rural Economy and Agricultural Society,Institutionen för ekologi,Department of Ecology,The Rural Economy and Agricultural Societies
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- Olsson, Peter (author)
- Lund University,Lunds universitet,BECC: Biodiversity and Ecosystem services in a Changing Climate,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Biodiversitet och bevarandevetenskap,Forskargrupper vid Lunds universitet,Centre for Environmental and Climate Science (CEC),Faculty of Science,Biodiversity and Conservation Science,Lund University Research Groups
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- Polce, Chiara (author)
- European Commission Joint Research Centre, Brussels
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- Potts, Simon G. (author)
- University of Reading
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- Rundlöf, Maj (author)
- Lund University,Lunds universitet,Biodiversitet,Biologiska institutionen,Naturvetenskapliga fakulteten,BECC: Biodiversity and Ecosystem services in a Changing Climate,Centrum för miljö- och klimatvetenskap (CEC),Biodiversitet och bevarandevetenskap,Forskargrupper vid Lunds universitet,Molekylär ekologi och evolution,Biodiversity,Department of Biology,Faculty of Science,Centre for Environmental and Climate Science (CEC),Biodiversity and Conservation Science,Lund University Research Groups,Molecular Ecology and Evolution Lab
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- Scheper, Jeroen (author)
- Wageningen University
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- Smith, Henrik G. (author)
- Lund University,Lunds universitet,Biodiversitet,Biologiska institutionen,Naturvetenskapliga fakulteten,BECC: Biodiversity and Ecosystem services in a Changing Climate,Centrum för miljö- och klimatvetenskap (CEC),Biodiversitet och bevarandevetenskap,Forskargrupper vid Lunds universitet,Molekylär ekologi och evolution,Biodiversity,Department of Biology,Faculty of Science,Centre for Environmental and Climate Science (CEC),Biodiversity and Conservation Science,Lund University Research Groups,Molecular Ecology and Evolution Lab
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- Steffan-Dewenter, Ingolf (author)
- Julius Maximilian University of Würzburg
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- Clough, Yann (author)
- Lund University,Lunds universitet,BECC: Biodiversity and Ecosystem services in a Changing Climate,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Biodiversitet och bevarandevetenskap,Forskargrupper vid Lunds universitet,Centre for Environmental and Climate Science (CEC),Faculty of Science,Biodiversity and Conservation Science,Lund University Research Groups
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(creator_code:org_t)
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- 2021-01-19
- 2021
- English.
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In: Ecography. - : Wiley. - 0906-7590 .- 1600-0587. ; 44:4, s. 525-536
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Abstract
Subject headings
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- Wild bee populations are threatened by current agricultural practices in many parts of the world, which may put pollination services and crop yields at risk. Loss of pollination services can potentially be predicted by models that link bee abundances with landscape-scale land-use, but there is little knowledge on the degree to which these statistical models are transferable across time and space. This study assesses the transferability of models for wild bee abundance in a mass-flowering crop across space (from one region to another) and across time (from one year to another). The models used existing data on bumblebee and solitary bee abundance in winter oilseed rape fields, together with high-resolution land-use crop-cover and semi-natural habitats data, from studies conducted in five different regions located in four countries (Sweden, Germany, Netherlands and the UK), in three different years (2011, 2012, 2013). We developed a hierarchical model combining all studies and evaluated the transferability using cross-validation. We found that both the landscape-scale cover of mass-flowering crops and permanent semi-natural habitats, including grasslands and forests, are important drivers of wild bee abundance in all regions. However, while the negative effect of increasing mass-flowering crops on the density of the pollinators is consistent between studies, the direction of the effect of semi-natural habitat is variable between studies. The transferability of these statistical models is limited, especially across regions, but also across time. Our study demonstrates the limits of using statistical models in conjunction with widely available land-use crop-cover classes for extrapolating pollinator density across years and regions, likely in part because input variables such as cover of semi-natural habitats poorly capture variability in pollinator resources between regions and years.
- Wild bee populations are threatened by current agricultural practices in many parts of the world, which may put pollination services and crop yields at risk. Loss of pollination services can potentially be predicted by models that link bee abundances with landscape‐scale land‐use, but there is little knowledge on the degree to which these statistical models are transferable across time and space. This study assesses the transferability of models for wild bee abundance in a mass‐flowering crop across space (from one region to another) and across time (from one year to another). The models used existing data on bumblebee and solitary bee abundance in winter oilseed rape fields, together with high‐resolution land‐use crop‐cover and semi‐natural habitats data, from studies conducted in five different regions located in four countries (Sweden, Germany, Netherlands and the UK), in three different years (2011, 2012, 2013). We developed a hierarchical model combining all studies and evaluated the transferability using cross‐validation. We found that both the landscape‐scale cover of mass‐flowering crops and permanent semi‐natural habitats, including grasslands and forests, are important drivers of wild bee abundance in all regions. However, while the negative effect of increasing mass‐flowering crops on the density of the pollinators is consistent between studies, the direction of the effect of semi‐natural habitat is variable between studies. The transferability of these statistical models is limited, especially across regions, but also across time. Our study demonstrates the limits of using statistical models in conjunction with widely available land‐use crop‐cover classes for extrapolating pollinator density across years and regions, likely in part because input variables such as cover of semi‐natural habitats poorly capture variability in pollinator resources between regions and years.
Subject headings
- NATURVETENSKAP -- Biologi -- Ekologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Ecology (hsv//eng)
Keyword
- Brassica napus
- mass flowering crops
- model predictions
- permanent semi-natural habitats
- transferability in ecology
- wild pollinators
- Brassica napus
- mass flowering crops
- model predictions
- permanent semi-natural habitats
- transferability in ecology
- wild pollinators
Publication and Content Type
- art (subject category)
- ref (subject category)
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Ecography
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- By the author/editor
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Blasi, Maria
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Bartomeus, Ignas ...
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Bommarco, Riccar ...
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Gagic, Vesna
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Garratt, Michael
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Holzschuh, Andre ...
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show more...
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Kleijn, David
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Lindström, Sandr ...
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Olsson, Peter
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Polce, Chiara
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Potts, Simon G.
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Rundlöf, Maj
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Scheper, Jeroen
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Smith, Henrik G.
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Steffan-Dewenter ...
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Clough, Yann
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Biological Scien ...
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and Ecology
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Ecography
- By the university
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Lund University
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Swedish University of Agricultural Sciences