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Modelling biodiversity distribution in agricultural landscapes to support ecological 1 network planning 2 3
| Content Provider | Semantic Scholar |
|---|---|
| Author | Mossman, Hannah L. Panter, Christopher J. Dolman, Paul M. |
| Copyright Year | 2015 |
| Abstract | 22 Strategic approaches to biodiversity conservation increasingly emphasise the restoration of 23 ecological connectivity at landscape scales. However, understanding where these connecting 24 elements should be placed in the landscape is critical if they are to provide both value for 25 money and for biodiversity. For such planning to be effective, it is necessary to have 26 information of the distributions of multiple taxa, however, this is of poor quality for many 27 taxa. We show that sparse, non-systematically collected biological records can be modelled 28 using readily available environmental variables to meaningfully predict potential biodiversity 29 richness, including rare and threatened species, across a landscape. Using a large database of 30 ad-hoc biological records (50 501 records of 502 species) we modelled the richness of 31 wetland biodiversity across the Fens, a formerly extensive wetland, now agricultural 32 landscape in eastern England. We used these models to predict those parts of the agricultural 33 ditch network of greatest potential conservation value and compared this to current strategic 34 network planning. Odonata distribution differed to that of other groups, indicating that single 35 taxon groups may not be effective proxies for other priority biodiversity. Our results 36 challenged previous assumptions that river channels should comprise the main connecting 37 elements in the Fens region. Rather, areas of high ditch density close to a main river are 38 likely to be of greater value and should be targeted for enhancement. This approach can be 39 adopted elsewhere in order to improve the evidence-base for strategic networks plans, 40 increasing their value for money. 41 42 HIGHLIGHTS 43 We used ad-hoc biological data to model landscape-scale wetland species richness. 44 Models were used to assess and improve a proposed ecological connectivity network. 45 Our evidence-based network was shorter and connected areas of higher richness. 46 Our results challenge previous assumptions of important network elements. 47 Odonata were poor proxies for other groups of wetland species. 48 49 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://e-space.mmu.ac.uk/581997/1/Mossman%20et%20al%20LAND%20author%20accepted%20copy.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Circuit restoration Database Entity Name Part Qualifier - adopted Forty Nine Hoc (programming language) Mandibular right second molar tooth Money Proxy Sparse matrix Wetlands |
| Content Type | Text |
| Resource Type | Article |
