Modelling biome shifts in the Indian subcontinent under scenarios of future climate change

被引:5
作者
Rasquinha, Dina N. [1 ]
Sankaran, Mahesh [1 ,2 ]
机构
[1] Tata Inst Fundamental Res, Natl Ctr Biol Sci, GKVK Campus,Bellary Rd, Bengaluru 560065, India
[2] Univ Leeds, Sch Biol, Leeds LS2 9JT, W Yorkshire, England
来源
CURRENT SCIENCE | 2016年 / 111卷 / 01期
关键词
Bioclimatic envelope models; biome shifts; ensemble modelling; random forests; representative concentration pathways; TROPICAL FORESTS; CHANGE IMPACTS; VEGETATION; PROJECTIONS; NICHE; LIFE; CLASSIFICATION; DISTRIBUTIONS; VULNERABILITY; CONSERVATION;
D O I
10.18520/cs/v111/i1/147-156
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The Indian subcontinent is expected to witness significant changes in climatic conditions in the future, but the implications of such changes for future spatial distribution of different biomes in the subcontinent are unclear. We sought to understand the potential shifts in the distribution of biomes in India by 2070 under different emission scenarios, identify biomes and regions of the country that are particularly at risk from future changes in climate, and quantify uncertainties associated with the predictions. We used an ensemble classifier (random forest) to model current and potential future distribution of biomes in India for different climate trajectories under the newly developed representative concentration pathway (RCP) scenarios. Climate projections from 19 and 17 different general circulation models (GCMs) were used to predict future biome distributions in India under the RCP 4.5 and RCP 8.5 scenarios respectively. For each scenario, model outputs from different GCM projections were combined using a simple majority voting criterion. Approximately 630,000 sq. km (18%) of the country is predicted to experience biome shifts under the RCP 8.5 scenario and 486,000 sq. km (14%) under the RCP 4.5 scenario by 2070. Drier tropical biomes are likely to be replaced by wetter biomes, while temperate biomes are predicted to be dominated by vegetation characteristic of a warmer climate in the future. There was a high to moderate level of agreement between predictions of different GCMs. Our results suggest that biome shifts will be largely concentrated in the east-central and northern parts of the country, with tropical and subtropical dry forests, savannas, grasslands and xeric habitats particularly at risk. Future studies should focus on elucidating the responses of different vegetation subformations within individual biomes in order to gain a finer-scale understanding of vegetation responses to future climate change in the Indian subcontinent.
引用
收藏
页码:147 / 156
页数:10
相关论文
共 80 条
[1]   Potential future changes of the terrestrial ecosystem based on climate projections by eight general circulation models [J].
Alo, Clement Aga ;
Wang, Guiling .
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2008, 113 (G1)
[2]  
[Anonymous], 2013, BIOGEOSCIENCES
[3]   Determining global population distribution: Methods, applications and data [J].
Balk, D. L. ;
Deichmann, U. ;
Yetman, G. ;
Pozzi, F. ;
Hay, S. I. ;
Nelson, A. .
ADVANCES IN PARASITOLOGY, VOL 62: GLOBAL MAPPING OF INFECTIOUS DISEASES: METHODS, EXAMPLES AND EMERGING APPLICATIONS, 2006, 62 :119-156
[4]   Impacts of climate change on the world's most exceptional ecoregions [J].
Beaumont, Linda J. ;
Pitman, Andrew ;
Perkins, Sarah ;
Zimmermann, Niklaus E. ;
Yoccoz, Nigel G. ;
Thuiller, Wilfried .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2011, 108 (06) :2306-2311
[5]   Beyond the forest edge: Ecology, diversity and conservation of the grassy biomes [J].
Bond, William J. ;
Parr, Catherine L. .
BIOLOGICAL CONSERVATION, 2010, 143 (10) :2395-2404
[6]   PREDICTING PHYSIOGNOMIC VEGETATION TYPES WITH CLIMATE VARIABLES [J].
BOX, EO .
VEGETATIO, 1981, 45 (02) :127-139
[7]   Random forests [J].
Breiman, L .
MACHINE LEARNING, 2001, 45 (01) :5-32
[8]   Evidence of climatic niche shift during biological invasion [J].
Broennimann, O. ;
Treier, U. A. ;
Mueller-Schaerer, H. ;
Thuiller, W. ;
Peterson, A. T. ;
Guisan, A. .
ECOLOGY LETTERS, 2007, 10 (08) :701-709
[9]  
Budyko M.I., 1986, The evolution of the biosphere - translated from the Russian by M.L
[10]   Predicting species distributions across the Amazonian and Andean regions using remote sensing data [J].
Buermann, Wolfgang ;
Saatchi, Sassan ;
Smith, Thomas B. ;
Zutta, Brian R. ;
Chaves, Jaime A. ;
Mila, Borja ;
Graham, Catherine H. .
JOURNAL OF BIOGEOGRAPHY, 2008, 35 (07) :1160-1176