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Forest damage by deer depends on cross-scale interactions between climate, deer density and landscape structure

Forest damage by deer depends on cross-scale interactions between climate, deer density and landscape structure
Forest damage by deer depends on cross-scale interactions between climate, deer density and landscape structure

Deer (Cervidae) populations are increasing across the temperate zone, threatening forest biodiversity and ecosystem services. However, the fundamental question of what factors make a forest susceptible to deer damage remains unanswered, hampering efforts to mitigate against damage. Previous research has assumed that deer density consistently increases forest damage. However, the effect of deer density is likely to be contingent on a range of other drivers, such as climate and landscape structure. Mitigation measures are expensive, so a sound understanding of these contingencies is required to inform the targeting of appropriate management to forests most at risk of damage. Using records of forest damage from Britain's National Forest Inventory, which comprises over 15,000 plots spanning environmental gradients, we applied a multiscale approach to identify the drivers of forest susceptibility to damage by deer. Damage likelihood was dependent on drivers operating at multiple spatial scales and their interactions. Broadleaved stands with low tree densities and old trees were consistently found to be at high risk across Britain. The statistical influence of surrounding forest cover within 500 m of a site was modified by regional deer density and climate, in addition to landscape-level perennial cover. The effect of deer density on damage was therefore not straightforward, but context dependent. Synthesis and applications. We predict the likely outcome of afforestation initiatives on the likelihood that a forest site will be damaged by deer, with important implications for management and landscape planning in Britain. The complex interactive effects uncovered are difficult to interpret. We therefore provide an interactive Deer Damage Tool (R Shiny application; https://spake.shinyapps.io/DEERDAMAGETOOL/) for practitioners to visualize how afforestation is likely to influence the probability of deer damage in different forests and regions across Britain.

cross-scale interaction, forage, forestry, graze, habitat selection, herbivore, ungulate, woodland expansion
1365-2664
1376-1390
Spake, Rebecca
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Bellamy, Chloe
02a9be14-27ea-49fa-93ab-094fa9a17341
Gill, Robin
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Watts, Kevin
fe480d83-677c-4218-8943-3e39726f0371
Ditchburn, Ben
c5480759-6797-4d59-93d7-bbfab93e3b44
Eigenbrod, Felix
43efc6ae-b129-45a2-8a34-e489b5f05827
Spake, Rebecca
1cda8ad0-2ab2-45d9-a844-ec3d8be2786a
Bellamy, Chloe
02a9be14-27ea-49fa-93ab-094fa9a17341
Gill, Robin
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Watts, Kevin
fe480d83-677c-4218-8943-3e39726f0371
Ditchburn, Ben
c5480759-6797-4d59-93d7-bbfab93e3b44
Eigenbrod, Felix
43efc6ae-b129-45a2-8a34-e489b5f05827

Spake, Rebecca, Bellamy, Chloe, Gill, Robin, Watts, Kevin, Ditchburn, Ben and Eigenbrod, Felix (2020) Forest damage by deer depends on cross-scale interactions between climate, deer density and landscape structure. Journal of Applied Ecology, 57 (7), 1376-1390. (doi:10.1111/1365-2664.13622).

Record type: Article

Abstract

Deer (Cervidae) populations are increasing across the temperate zone, threatening forest biodiversity and ecosystem services. However, the fundamental question of what factors make a forest susceptible to deer damage remains unanswered, hampering efforts to mitigate against damage. Previous research has assumed that deer density consistently increases forest damage. However, the effect of deer density is likely to be contingent on a range of other drivers, such as climate and landscape structure. Mitigation measures are expensive, so a sound understanding of these contingencies is required to inform the targeting of appropriate management to forests most at risk of damage. Using records of forest damage from Britain's National Forest Inventory, which comprises over 15,000 plots spanning environmental gradients, we applied a multiscale approach to identify the drivers of forest susceptibility to damage by deer. Damage likelihood was dependent on drivers operating at multiple spatial scales and their interactions. Broadleaved stands with low tree densities and old trees were consistently found to be at high risk across Britain. The statistical influence of surrounding forest cover within 500 m of a site was modified by regional deer density and climate, in addition to landscape-level perennial cover. The effect of deer density on damage was therefore not straightforward, but context dependent. Synthesis and applications. We predict the likely outcome of afforestation initiatives on the likelihood that a forest site will be damaged by deer, with important implications for management and landscape planning in Britain. The complex interactive effects uncovered are difficult to interpret. We therefore provide an interactive Deer Damage Tool (R Shiny application; https://spake.shinyapps.io/DEERDAMAGETOOL/) for practitioners to visualize how afforestation is likely to influence the probability of deer damage in different forests and regions across Britain.

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Spake-JAPPL- R2_update.deer - Accepted Manuscript
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More information

Accepted/In Press date: 17 January 2020
e-pub ahead of print date: 27 April 2020
Published date: 1 July 2020
Additional Information: Funding Information: This research was funded by the ERC Starting Grant ?SCALEFORES? (grant no. 680176) awarded to F.E. We thank two anonymous reviewers for their improvements to earlier versions of this work. Publisher Copyright: © 2020 The Authors. Journal of Applied Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society
Keywords: cross-scale interaction, forage, forestry, graze, habitat selection, herbivore, ungulate, woodland expansion

Identifiers

Local EPrints ID: 439528
URI: http://eprints.soton.ac.uk/id/eprint/439528
ISSN: 1365-2664
PURE UUID: 2d927bbb-e2ce-43d0-869d-6b01442fc0eb
ORCID for Felix Eigenbrod: ORCID iD orcid.org/0000-0001-8982-824X

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Date deposited: 24 Apr 2020 16:45
Last modified: 17 Mar 2024 05:28

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Contributors

Author: Rebecca Spake
Author: Chloe Bellamy
Author: Robin Gill
Author: Kevin Watts
Author: Ben Ditchburn
Author: Felix Eigenbrod ORCID iD

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