A family of process-based models to simulate landscape use by multiple taxa

Gardner, Emma ORCID: https://orcid.org/0000-0002-1669-7151; Robinson, Robert A.; Julian, Angela; Boughey, Katherine; Langham, Steve; Tse-Leon, Jenny; Petrovskii, Sergei; Baker, David J.; Bellamy, Chloe; Buxton, Andrew; Franks, Samantha; Monk, Chris; Morris, Nicola; Park, Kirsty J.; Petrovan, Silviu; Pitt, Katie; Taylor, Rachel; Turner, Rebecca K. ORCID: https://orcid.org/0000-0001-5159-8266; Allain, Steven J. R.; Bradley, Val; Broughton, Richard K. ORCID: https://orcid.org/0000-0002-6838-9628; Cartwright, Mandy; Clarke, Kevin; Cranfield, Jon; Fuentes-Montemayor, Elisa; Gandola, Robert; Gent, Tony; Hinsley, Shelley A.; Madsen, Thomas; Reading, Chris; Redhead, John W. ORCID: https://orcid.org/0000-0002-2233-3848; Reveley, Sonia; Wilkinson, John; Williams, Carol; Woodward, Ian; Baker, John; Briggs, Philip; Dyason, Sheila; Langton, Steve; Mawby, Ashlea; Pywell, Richard F. ORCID: https://orcid.org/0000-0001-6431-9959; Bullock, James M. ORCID: https://orcid.org/0000-0003-0529-4020. 2024 A family of process-based models to simulate landscape use by multiple taxa. Landscape Ecology, 39 (5), 102. 26, pp. 10.1007/s10980-024-01866-4

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Abstract/Summary

•Context: Land-use change is a key driver of biodiversity loss. Models that accurately predict how biodiversity might be affected by land-use changes are urgently needed, to help avoid further negative impacts and inform landscape-scale restoration projects. To be effective, such models must balance model realism with computational tractability and must represent the different habitat and connectivity requirements of multiple species. •Objectives: We explored the extent to which process-based modelling might fulfil this role, examining feasibility for different taxa and potential for informing real-world decision-making. •Methods: We developed a family of process-based models (*4pop) that simulate landscape use by birds, bats, reptiles and amphibians, derived from the well-established poll4pop model (designed to simulate bee populations). Given landcover data, the models predict spatially-explicit relative abundance by simulating optimal home-range foraging, reproduction, dispersal of offspring and mortality. The models were co-developed by researchers, conservation NGOs and volunteer surveyors, parameterised using literature data and expert opinion, and validated against observational datasets collected across Great Britain. •Results: The models were able to simulate habitat specialists, generalists, and species requiring access to multiple habitats for different types of resources (e.g. breeding vs foraging). We identified model refinements required for some taxa and considerations for modelling further species/groups. •Conclusions: We suggest process-based models that integrate multiple forms of knowledge can assist biodiversity-inclusive decision-making by predicting habitat use throughout the year, expanding the range of species that can be modelled, and enabling decision-makers to better account for landscape context and habitat configuration effects on population persistence.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1007/s10980-024-01866-4
UKCEH and CEH Sections/Science Areas:	Biodiversity (Science Area 2017-) UKCEH Fellows
ISSN:	1572-9761
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	process-based modelling, biodiversity, foraging, dispersal, population dynamics, land-use change
NORA Subject Terms:	Ecology and Environment Agriculture and Soil Science Data and Information
Date made live:	07 May 2024 12:32 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/537397

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