Ancient woodland indicators signal the climate change risk for dispersal-limited species. (June 2015)
- Record Type:
- Journal Article
- Title:
- Ancient woodland indicators signal the climate change risk for dispersal-limited species. (June 2015)
- Main Title:
- Ancient woodland indicators signal the climate change risk for dispersal-limited species
- Authors:
- Ellis, Christopher J.
- Abstract:
- Highlights: Species risk is determined by sensitivity to climate change and migration rates through fragmented habitat. Statistically determined indicators of ancient woodland – with limited dispersal-ability – were used to quantify species risk. These indicator species resolve regional trends in climate change impact, and can be used for biodiversity monitoring. Abstract: The climate change risk to biodiversity operates alongside a range of anthropogenic pressures. These include habitat loss and fragmentation, which may prevent species from migrating between isolated habitat patches in order to track their suitable climate space. Predictive modelling has advanced in scope and complexity to integrate: (i) projected shifts in climate suitability, with (ii) spatial patterns of landscape habitat quality and rates of dispersal. This improved ecological realism is suited to data-rich model species, though its broader generalisation comes with accumulated uncertainties, e.g. incomplete knowledge of species response to variable habitat quality, parameterisation of dispersal kernels etc . This study adopts ancient woodland indicator species (lichen epiphytes) as a guild that couples relative simplicity with biological rigour. Subjectively-assigned indicator species were statistically tested against a binary habitat map of woodlands of known continuity (>250 yr), and bioclimatic models were used to demonstrate trends in their increased/decreased environmental suitability underHighlights: Species risk is determined by sensitivity to climate change and migration rates through fragmented habitat. Statistically determined indicators of ancient woodland – with limited dispersal-ability – were used to quantify species risk. These indicator species resolve regional trends in climate change impact, and can be used for biodiversity monitoring. Abstract: The climate change risk to biodiversity operates alongside a range of anthropogenic pressures. These include habitat loss and fragmentation, which may prevent species from migrating between isolated habitat patches in order to track their suitable climate space. Predictive modelling has advanced in scope and complexity to integrate: (i) projected shifts in climate suitability, with (ii) spatial patterns of landscape habitat quality and rates of dispersal. This improved ecological realism is suited to data-rich model species, though its broader generalisation comes with accumulated uncertainties, e.g. incomplete knowledge of species response to variable habitat quality, parameterisation of dispersal kernels etc . This study adopts ancient woodland indicator species (lichen epiphytes) as a guild that couples relative simplicity with biological rigour. Subjectively-assigned indicator species were statistically tested against a binary habitat map of woodlands of known continuity (>250 yr), and bioclimatic models were used to demonstrate trends in their increased/decreased environmental suitability under conditions of 'no dispersal'. Given the expectation of rapid climate change on ecological time-scales, no dispersal for ancient woodland indicators becomes a plausible assumption. The risk to ancient woodland indicators is spatially structured (greater in a relative continental compared to an oceanic climatic zone), though regional differences are weakened by significant variation (within regions) in woodland extent. As a corollary, ancient woodland indicators that are sensitive to projected climate change scenarios may be excellent targets for monitoring climate change impacts for biodiversity at a site-scale, including the outcome of strategic habitat management (climate change adaptation) designed to offset risk for dispersal-limited species. … (more)
- Is Part Of:
- Ecological indicators. Volume 53(2015)
- Journal:
- Ecological indicators
- Issue:
- Volume 53(2015)
- Issue Display:
- Volume 53, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 53
- Issue:
- 2015
- Issue Sort Value:
- 2015-0053-2015-0000
- Page Start:
- 106
- Page End:
- 114
- Publication Date:
- 2015-06
- Subjects:
- Ancient woodland -- Bioclimatic modelling -- Climate change -- Ecological continuity -- Epiphytes -- Lichens
Environmental monitoring -- Periodicals
Environmental management -- Periodicals
Environmental impact analysis -- Periodicals
Environmental risk assessment -- Periodicals
Sustainable development -- Periodicals
333.71405 - Journal URLs:
- http://www.sciencedirect.com/science/journal/1470160X/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ecolind.2015.01.028 ↗
- Languages:
- English
- ISSNs:
- 1470-160X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3648.877200
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7669.xml