Assessing extinction-risk of endangered plants using species distribution models: a case study of habitat depletion caused by the spread of greenhouses

被引：0
作者：
Blas M. Benito
M. Montserrat Martínez-Ortega
Luz M. Muñoz
Juan Lorite
Julio Peñas
机构：
[1] University of Granada,Department of Botany, Sciences Faculty, Plant Conservation Unit
[2] University of Salamanca,Department of Botany
来源：
Biodiversity and Conservation | 2009年 / 18卷
关键词：
Greenhouses; Habitat fragmentation and depletion; Mediterranean landscape; South-eastern Spain; Threatened species;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The species distribution models (SDMs) are useful tools for investigating rare and endangered species as well as the environmental variables affecting them. In this paper, we propose the application of SDMs to assess the extinction-risk of plant species in relation to the spread of greenhouses in a Mediterranean landscape, where habitat depletion is one of the main causes of biodiversity loss. For this purpose, presence records of the model species (Linaria nigricans, a endemic and threatened species) and the greenhouses, a dataset of environmental variables, and different only presence-based modelling algorithms (Bioclim, Domain, GARP, MaxEnt and ENFA) were used to build SDMs for L. nigricans as well as for greenhouses. To evaluate the models a modified approach of the area-under-curve ROC was applied. Combining the most accurate models, we generated an extinction-risk model of L. nigricans populations, which enabled us to assess the sustainability of the most threatened populations. Our results show that is possible to model greenhouses spreading as a “biological invasion”. The procedure explained and used in this work is quite novel, and offers an objective spatial criterion intended for the management of natural resources and for the conservation of the biodiversity in areas threatened by habitat depletion processes as particular as greenhouses expansion.
引用
收藏
页码：2509 / 2520
页数：11
相关论文
共 105 条
[1]  
Araújo MB(2000)Selecting areas for species persistence using occurrence data Biol Conserv 96 331-345
[2]  
Williams PH(2002)Dynamics of extinction and the selection of nature reserves Proc R Soc Lond 269 1971-1980
[3]  
Araújo MB(2006)From descriptive to predictive distribution models: a working example with Iberian amphibians and reptiles Front Zool 3 8-423
[4]  
Williams PH(2006)Error and uncertainty in habitat models J Appl Ecol 43 413-495
[5]  
Fuller RJ(1993)Empirical models for the spatial distribution of wildlife J Appl Ecol 30 478-680
[6]  
Artnzen JW(1993)DOMAIN: a flexible modelling procedure for mapping potential distributions of plants and animals Biodivers Conserv 2 667-151
[7]  
Barry S(2006)Novel methods improve prediction of species’ distributions from occurrence data Ecography 29 129-130
[8]  
Elith J(2003)Assessment of alternative approaches for bioclimatic modelling with special emphasis on the Mahalanobis distance Ecol Modell 160 115-49
[9]  
Buckland ST(1997)A review of methods for the assessment of prediction errors in conservation presence/absence models Environ Conserv 24 38-186
[10]  
Elston DA(2000)Predictive habitat distribution models in ecology Ecol Modell 135 147-511
12345678910