Building relevant ecological indicators with basic data: Species and community specialization indices derived from atlas data. (March 2015)
- Record Type:
- Journal Article
- Title:
- Building relevant ecological indicators with basic data: Species and community specialization indices derived from atlas data. (March 2015)
- Main Title:
- Building relevant ecological indicators with basic data: Species and community specialization indices derived from atlas data
- Authors:
- Vimal, Ruppert
Devictor, Vincent - Abstract:
- Highlights: We propose an approach to estimate a species specialization index for species and a community specialization index for communities based on basic co-occurrence data. We test the spatial relationship between community specialization, species richness, and landscape disturbance. We find that these indicators behave as expected from studies conducted at fine scale and with high-resolution data. Estimates of species and community specialization established with large-scale and low-resolution data are good complementary indicators to those traditionally used. Abstract: Species and community specialization have become popular indicators to track the spatial and temporal changes of species and community dynamics during current global changes. However, measuring specialization requires detailed and quantitative descriptions of habitat requirements or resource use, which are difficult to obtain for many species. Here, we propose and test a new method to quantify and map the relative composition of specialist and generalist species in local plots compatible with very basic ecological data, typically used for atlases. We used co-occurrence patterns of 1090 plant species recorded in the French Mediterranean region of Languedoc-Roussillon in a systematic grid of 1225 5 × 5 km atlas cells to estimate species specialization. We then calculated the averaged specialization of each cell and tested several expected relationships of these indices. In particular, we tested theHighlights: We propose an approach to estimate a species specialization index for species and a community specialization index for communities based on basic co-occurrence data. We test the spatial relationship between community specialization, species richness, and landscape disturbance. We find that these indicators behave as expected from studies conducted at fine scale and with high-resolution data. Estimates of species and community specialization established with large-scale and low-resolution data are good complementary indicators to those traditionally used. Abstract: Species and community specialization have become popular indicators to track the spatial and temporal changes of species and community dynamics during current global changes. However, measuring specialization requires detailed and quantitative descriptions of habitat requirements or resource use, which are difficult to obtain for many species. Here, we propose and test a new method to quantify and map the relative composition of specialist and generalist species in local plots compatible with very basic ecological data, typically used for atlases. We used co-occurrence patterns of 1090 plant species recorded in the French Mediterranean region of Languedoc-Roussillon in a systematic grid of 1225 5 × 5 km atlas cells to estimate species specialization. We then calculated the averaged specialization of each cell and tested several expected relationships of these indices. In particular, we tested the relationship between species richness and average specialization and the relationship between community specialization and landscape disturbance induced by land use. As expected from studies conducted on fine-scale data, we found that specialist species were those with more restricted distributions and occurring in richer species assemblages. We also found that community specialization was maximized at an intermediate level of landscape disturbance. These results suggest that aggregating specialization at large spatial scales provides useful species and community level indicators. Estimating specialization level with co-occurrence data is a good complementary approach to traditional estimations of diversity indices for conservation and landscape planning. … (more)
- Is Part Of:
- Ecological indicators. Volume 50(2015)
- Journal:
- Ecological indicators
- Issue:
- Volume 50(2015)
- Issue Display:
- Volume 50, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 50
- Issue:
- 2015
- Issue Sort Value:
- 2015-0050-2015-0000
- Page Start:
- 1
- Page End:
- 7
- Publication Date:
- 2015-03
- Subjects:
- Atlas data -- Community specialization -- Co-occurrence -- Indicators -- Intermediate disturbance hypothesis
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.2014.10.024 ↗
- 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:
- 5448.xml