Assessing effects of forecasted climate change on the diversity and distribution of European higher plants for 2050

被引:441
作者
Bakkenes, M [1 ]
Alkemade, JRM [1 ]
Ihle, F [1 ]
Leemans, R [1 ]
Latour, JB [1 ]
机构
[1] Natl Inst Publ Hlth & Environm, NL-3720 BA Bilthoven, Netherlands
关键词
biodiversity; climate change; Kappa statistic; multiple logistic regression;
D O I
10.1046/j.1354-1013.2001.00467.x
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
The rapidly increasing atmospheric concentrations of greenhouse gases may lead to significant changes in regional and seasonal climate patterns. Such changes can strongly influence the diversity and distribution of species and, therefore, affect ecosystems and biodiversity. To assess these changes we developed a model, called EUROMOVE. The model uses climate data from 1990 to 2050 as compiled from the IMAGE 2 model, and determines climate envelopes for about 1400 plant species by multiple logistic regression analysis. The climate envelopes were applied to the projected climate to obtain predictions about plant diversity and distributions by 2050. For each European grid cell, EUROMOVE calculates which species would still occur in forecasted future climate conditions and which not. The results show major changes in biodiversity by 2050. On average, 32% of the European plant species that were present in a cell in 1990 would disappear from that cell. The area, in which 32% or more of the 1990 species will disappear, takes up 44% of the modelled European area. Individual responses of the plant species to the forecasted climate change were diverse. In reviewing possible future trends, we found that plant species, in general, would find their current climate envelopes further northeast by 2050, shifting ranges that were comparable with those ranges in other studies.
引用
收藏
页码:390 / 407
页数:18
相关论文
共 68 条
[1]  
[Anonymous], BIODIVERSITY 1992 ST
[2]  
[Anonymous], 1994, IMAGE 2 0 INTEGRATED
[3]   CLIMATE AND THE DISTRIBUTION OF FALLOPIA-JAPONICA - USE OF AN INTRODUCED SPECIES TO TEST THE PREDICTIVE CAPACITY OF RESPONSE SURFACES [J].
BEERLING, DJ ;
HUNTLEY, B ;
BAILEY, JP .
JOURNAL OF VEGETATION SCIENCE, 1995, 6 (02) :269-282
[4]   Determining alternative models for vegetation response analysis: a non-parametric approach [J].
Bio, AMF ;
Alkemade, R ;
Barendregt, A .
JOURNAL OF VEGETATION SCIENCE, 1998, 9 (01) :5-16
[5]   NICHE ANALYSIS AND TREE SPECIES INTRODUCTION [J].
BOOTH, TH ;
NIX, HA ;
HUTCHINSON, MF ;
JOVANOVIC, T .
FOREST ECOLOGY AND MANAGEMENT, 1988, 23 (01) :47-59
[6]  
Box E.O., 1981, MACROCLIMATE PLANT F
[7]   DISPERSE: A cellular automaton for predicting the distribution of species in a changed climate [J].
Carey, PD .
GLOBAL ECOLOGY AND BIOGEOGRAPHY LETTERS, 1996, 5 (4-5) :217-226
[8]  
[Carter T.R. Intergovernmental Panel on Climate Change (IPCC) Intergovernmental Panel on Climate Change (IPCC)], 1994, IPCC SPECIAL REPORT
[9]   A COEFFICIENT OF AGREEMENT FOR NOMINAL SCALES [J].
COHEN, J .
EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 1960, 20 (01) :37-46
[10]  
CRAMER W, 1991, AM VEGETATION DYNAMI, P190