Network modelling, citizen science and targeted interventions to predict, monitor and reverse bee decline
Societal Impact Statement The global decline in pollinating insect populations has rightly received widespread news coverage as it imperils ecosystem function and human food security. Reversing and addressing this decline is an urgent global priority. However, in many locations we do not know what s...
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| Format: | Article |
| Language: | English |
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Wiley
2020-03-01
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| Series: | Plants, People, Planet |
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| Online Access: | https://doi.org/10.1002/ppp3.10068 |
| _version_ | 1819076653850034176 |
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| author | Tonya Lander |
| author_facet | Tonya Lander |
| author_sort | Tonya Lander |
| collection | DOAJ |
| description | Societal Impact Statement The global decline in pollinating insect populations has rightly received widespread news coverage as it imperils ecosystem function and human food security. Reversing and addressing this decline is an urgent global priority. However, in many locations we do not know what species are present, how large or small species populations are, or what types of specific resources the populations require. By adopting novel network analyses approaches and by working with monitoring programs, such as Oxford Plan Bee, we may be able to dramatically improve our ability to predict species extinctions and facilitate targeted conservation action to maintain abundant, diverse and stable pollinator communities. Summary Pollination is fundamentally important to ecosystem function and human food security. Recent reports of dramatic insect declines, and pollinator decline in particular, have increased public awareness and political motivation to act to protect pollinators. This article maps commonly proposed management interventions onto known drivers of bee decline, and identifies forage and nest site provision as a tractable management intervention that can simultaneously address multiple drivers of decline. However, it is recognized that there are gaps in the knowledge of exactly how much and which types of forage resources are necessary to support wild pollinator populations. A novel network analysis approach based on quantified floral resources and pollination services is proposed, which would illuminate the types and quantities of floral resources and pollinators necessary to maintain a diverse and abundant plant–pollinator community. The approach would also facilitate the prediction of species extinctions in plant–pollinator communities and help target conservation interventions. Finally, Oxford Plan Bee is introduced as a new, citizen‐science‐based project to monitor solitary bee populations, and provide empirical data to validate predictions from the proposed network approach. The over‐arching aim of the described network analysis approach and the Oxford Plan Bee project is to facilitate effective, evidence‐based conservation action to protect pollinators and the plants they pollinate into the future. |
| first_indexed | 2024-12-21T18:44:44Z |
| format | Article |
| id | doaj.art-fbaf566dac6a4e2f95c958117c488898 |
| institution | Directory Open Access Journal |
| issn | 2572-2611 |
| language | English |
| last_indexed | 2024-12-21T18:44:44Z |
| publishDate | 2020-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Plants, People, Planet |
| spelling | doaj.art-fbaf566dac6a4e2f95c958117c4888982022-12-21T18:53:56ZengWileyPlants, People, Planet2572-26112020-03-012211112010.1002/ppp3.10068Network modelling, citizen science and targeted interventions to predict, monitor and reverse bee declineTonya Lander0Department of Plant Sciences University of Oxford Oxford UKSocietal Impact Statement The global decline in pollinating insect populations has rightly received widespread news coverage as it imperils ecosystem function and human food security. Reversing and addressing this decline is an urgent global priority. However, in many locations we do not know what species are present, how large or small species populations are, or what types of specific resources the populations require. By adopting novel network analyses approaches and by working with monitoring programs, such as Oxford Plan Bee, we may be able to dramatically improve our ability to predict species extinctions and facilitate targeted conservation action to maintain abundant, diverse and stable pollinator communities. Summary Pollination is fundamentally important to ecosystem function and human food security. Recent reports of dramatic insect declines, and pollinator decline in particular, have increased public awareness and political motivation to act to protect pollinators. This article maps commonly proposed management interventions onto known drivers of bee decline, and identifies forage and nest site provision as a tractable management intervention that can simultaneously address multiple drivers of decline. However, it is recognized that there are gaps in the knowledge of exactly how much and which types of forage resources are necessary to support wild pollinator populations. A novel network analysis approach based on quantified floral resources and pollination services is proposed, which would illuminate the types and quantities of floral resources and pollinators necessary to maintain a diverse and abundant plant–pollinator community. The approach would also facilitate the prediction of species extinctions in plant–pollinator communities and help target conservation interventions. Finally, Oxford Plan Bee is introduced as a new, citizen‐science‐based project to monitor solitary bee populations, and provide empirical data to validate predictions from the proposed network approach. The over‐arching aim of the described network analysis approach and the Oxford Plan Bee project is to facilitate effective, evidence‐based conservation action to protect pollinators and the plants they pollinate into the future.https://doi.org/10.1002/ppp3.10068bee declinefloral resourcesland managementplant–pollinator networksolitary bee monitoring |
| spellingShingle | Tonya Lander Network modelling, citizen science and targeted interventions to predict, monitor and reverse bee decline Plants, People, Planet bee decline floral resources land management plant–pollinator network solitary bee monitoring |
| title | Network modelling, citizen science and targeted interventions to predict, monitor and reverse bee decline |
| title_full | Network modelling, citizen science and targeted interventions to predict, monitor and reverse bee decline |
| title_fullStr | Network modelling, citizen science and targeted interventions to predict, monitor and reverse bee decline |
| title_full_unstemmed | Network modelling, citizen science and targeted interventions to predict, monitor and reverse bee decline |
| title_short | Network modelling, citizen science and targeted interventions to predict, monitor and reverse bee decline |
| title_sort | network modelling citizen science and targeted interventions to predict monitor and reverse bee decline |
| topic | bee decline floral resources land management plant–pollinator network solitary bee monitoring |
| url | https://doi.org/10.1002/ppp3.10068 |
| work_keys_str_mv | AT tonyalander networkmodellingcitizenscienceandtargetedinterventionstopredictmonitorandreversebeedecline |