Habitat microclimates drive fine-scale variation in extreme temperatures

被引:406
作者
Suggitt, Andrew J. [1 ]
Gillingham, Phillipa K. [1 ]
Hill, Jane K. [1 ]
Huntley, Brian [2 ]
Kunin, William E. [3 ]
Roy, David B. [4 ]
Thomas, Chris D. [1 ]
机构
[1] Univ York, Dept Biol, York YO10 5DD, N Yorkshire, England
[2] Univ Durham, Sch Biol & Biomed Sci, Durham, England
[3] Univ Leeds, Inst Integrat & Comparat Biol, Fac Biol Sci, Leeds, W Yorkshire, England
[4] Ctr Ecol & Hydrol, Wallingford, Oxon, England
关键词
CLIMATE-CHANGE; RANGE; MODELS; SLOPE; PROJECTIONS; BUTTERFLIES; EXTINCTION; PREFERENCE; RESPONSES; NETWORKS;
D O I
10.1111/j.1600-0706.2010.18270.x
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Most multicellular terrestrial organisms experience climate at scales of millimetres to metres, yet most species-climate associations are analysed at resolutions of kilometres or more. Because individuals experience heterogeneous microclimates in the landscape, species sometimes survive where the average background climate appears unsuitable, and equally may be eliminated from sites within apparently suitable grid cells where microclimatic extremes are intolerable. Local vegetation structure and topography can be important determinants of fine-resolution microclimate, but a literature search revealed that the vast majority of bioclimate studies do not include fine-scale habitat information, let alone a representation of how habitat affects microclimate. In this paper, we show that habitat type (grassland, heathland, deciduous woodland) is a major modifier of the temperature extremes experienced by organisms. We recorded differences among these habitats of more than 5 degrees C in monthly temperature maxima and minima, and of 10 degrees C in thermal range, on a par with the level of warming expected for extreme future climate change scenarios. Comparable differences were found in relation to variation in local topography (slope and aspect). Hence, we argue that the microclimatic effects of habitat and topography must be included in studies if we are to obtain sufficiently detailed projections of the ecological impacts of climate change to develop detailed adaptation strategies for the conservation of biodiversity.
引用
收藏
页码:1 / 8
页数:8
相关论文
共 55 条
[11]   Novel methods improve prediction of species' distributions from occurrence data [J].
Elith, J ;
Graham, CH ;
Anderson, RP ;
Dudík, M ;
Ferrier, S ;
Guisan, A ;
Hijmans, RJ ;
Huettmann, F ;
Leathwick, JR ;
Lehmann, A ;
Li, J ;
Lohmann, LG ;
Loiselle, BA ;
Manion, G ;
Moritz, C ;
Nakamura, M ;
Nakazawa, Y ;
Overton, JM ;
Peterson, AT ;
Phillips, SJ ;
Richardson, K ;
Scachetti-Pereira, R ;
Schapire, RE ;
Soberón, J ;
Williams, S ;
Wisz, MS ;
Zimmermann, NE .
ECOGRAPHY, 2006, 29 (02) :129-151
[12]  
Geiger R., 1965, CLIMATE NEAR GROUND
[13]   Modeling monthly mean temperatures for the mountain regions of Taiwan by generalized additive models [J].
Guan, Biing T. ;
Hsu, Hsin-Wu ;
Wey, Tsong-Huei ;
Tsao, Li-Sung .
AGRICULTURAL AND FOREST METEOROLOGY, 2009, 149 (02) :281-290
[14]   Biodiversity management in the face of climate change: A review of 22 years of recommendations [J].
Heller, Nicole E. ;
Zavaleta, Erika S. .
BIOLOGICAL CONSERVATION, 2009, 142 (01) :14-32
[15]   Assisted colonization and rapid climate change [J].
Hoegh-Guldberg, O. ;
Hughes, L. ;
McIntyre, S. ;
Lindenmayer, D. B. ;
Parmesan, C. ;
Possingham, H. P. ;
Thomas, C. D. .
SCIENCE, 2008, 321 (5887) :345-346
[16]  
Hopkins J.J., 2007, CONSERVING BIODIVERS, DOI 10.13140/RG.2.2.16228.88966
[17]   Mechanistic niche modelling: combining physiological and spatial data to predict species' ranges [J].
Kearney, Michael ;
Porter, Warren .
ECOLOGY LETTERS, 2009, 12 (04) :334-350
[18]  
KINDVALL O, 1995, BIOL CONSERV, V73, P51, DOI 10.1016/0006-3207(95)90063-2
[19]   MULTIPLE-REGRESSION MODELS OF THE DISTRIBUTION OF HELIANTHEMUM-CHAMAECISTUS IN RELATION TO ASPECT AND SLOPE AT BARNACK, ENGLAND [J].
LAKHANI, KH ;
DAVIS, BNK .
JOURNAL OF APPLIED ECOLOGY, 1982, 19 (02) :621-629
[20]   Predicting climate-induced range shifts: model differences and model reliability [J].
Lawler, Joshua J. ;
White, Denis ;
Neilson, Ronald P. ;
Blaustein, Andrew R. .
GLOBAL CHANGE BIOLOGY, 2006, 12 (08) :1568-1584