Adapting genetic algorithms for multifunctional landscape decisions: a theoretical case study on wild bees and farmers in the UK
Article
Article Title | Adapting genetic algorithms for multifunctional landscape decisions: a theoretical case study on wild bees and farmers in the UK |
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ERA Journal ID | 123738 |
Article Category | Article |
Authors | Knight, Ellen, Balzter, Heiko, Breeze, Tom D., Brettschneider, Julia, Girling, Robbie D., Hagen-Zanker, Alex, Image, Mike, Johnson, Colin G., Lee, Christophe, Lovett, Andrew, Petrovskii, Sergei, Varah, Alexa, Whelan, Mick, Yang, Shengxiang and Gardne, Emma |
Journal Title | Methods in Ecology and Evolution |
Number of Pages | 15 |
Year | 2024 |
Publisher | John Wiley & Sons |
Place of Publication | United Kingdom |
ISSN | 2041-210X |
Digital Object Identifier (DOI) | https://doi.org/10.1111/2041-210X.14424 |
Web Address (URL) | https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.14424 |
Abstract | 1. Spatial modelling approaches to aid land-use decisions which benefit both wildlife and humans are often limited to the comparison of pre-determined landscape scenarios, which may not reflect the true optimum landscape for any end-user. Furthermore, the needs of wildlife are often under-represented when considered alongside human financial interests in these approaches. |
Keywords | Agroecology; ecological modelling; genetic algorithms; andscape optimisation; land-use decisions; multi-functional landscapes; spatial modelling; pollinators |
Article Publishing Charge (APC) Funding | Project Funding |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 410406. Natural resource management |
410204. Ecosystem services (incl. pollination) | |
300207. Agricultural systems analysis and modelling | |
Byline Affiliations | University of Reading, United Kingdom |
Imperial College London, United Kingdom | |
University of Leicester, United Kingdom | |
University of Warwick, United Kingdom | |
Centre for Sustainable Agricultural Systems | |
Institute for Life Sciences and the Environment | |
University of Surrey, United Kingdom | |
University of Nottingham, United Kingdom | |
University of Exeter, United Kingdom | |
University of East Anglia, United Kingdom | |
Natural History Museum London, United Kingdom | |
De Montfort University, United Kingdom | |
UK Centre for Ecology & Hydrology, United Kingdom |
https://research.usq.edu.au/item/z8z83/adapting-genetic-algorithms-for-multifunctional-landscape-decisions-a-theoretical-case-study-on-wild-bees-and-farmers-in-the-uk
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Methods Ecol Evol - 2024 - Knight - Adapting genetic algorithms for multifunctional landscape decisions A theoretical case.pdf | ||
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