Predicting Landscape-Genetic Consequences of Habitat Loss, Fragmentation and Mobility for Multiple Species of Woodland Birds

被引:49
作者
Amos, J. Nevil [1 ,2 ]
Bennett, Andrew F. [3 ]
Mac Nally, Ralph [1 ,2 ]
Newell, Graeme [4 ]
Pavlova, Alexandra [1 ,2 ]
Radford, James Q. [3 ]
Thomson, James R. [1 ,2 ]
White, Matt [4 ]
Sunnucks, Paul [1 ,2 ]
机构
[1] Monash Univ, Sch Biol Sci, Melbourne, Vic 3004, Australia
[2] Monash Univ, Australian Ctr Biodivers, Melbourne, Vic 3004, Australia
[3] Deakin Univ, Landscape Ecol Res Grp, Sch Life & Environm Sci, Burwood, Vic, Australia
[4] Arthur Rylah Inst Environm Res, Dept Sustainabil & Environm, Heidelberg, Vic, Australia
来源
PLOS ONE | 2012年 / 7卷 / 02期
基金
澳大利亚研究理事会;
关键词
FUNCTIONAL CONNECTIVITY; EXTINCTION DEBT; SOUTHERN AUSTRALIA; CIRCUIT-THEORY; FLOW; DISPERSAL; MODELS; DIFFERENTIATION; THRESHOLDS; INFERENCE;
D O I
10.1371/journal.pone.0030888
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
Inference concerning the impact of habitat fragmentation on dispersal and gene flow is a key theme in landscape genetics. Recently, the ability of established approaches to identify reliably the differential effects of landscape structure (e. g. land-cover composition, remnant vegetation configuration and extent) on the mobility of organisms has been questioned. More explicit methods of predicting and testing for such effects must move beyond post hoc explanations for single landscapes and species. Here, we document a process for making a priori predictions, using existing spatial and ecological data and expert opinion, of the effects of landscape structure on genetic structure of multiple species across replicated landscape blocks. We compare the results of two common methods for estimating the influence of landscape structure on effective distance: least-cost path analysis and isolation-by-resistance. We present a series of alternative models of genetic connectivity in the study area, represented by different landscape resistance surfaces for calculating effective distance, and identify appropriate null models. The process is applied to ten species of sympatric woodland-dependant birds. For each species, we rank a priori the expectation of fit of genetic response to the models according to the expected response of birds to loss of structural connectivity and landscape-scale tree-cover. These rankings (our hypotheses) are presented for testing with empirical genetic data in a subsequent contribution. We propose that this replicated landscape, multi-species approach offers a robust method for identifying the likely effects of landscape fragmentation on dispersal.
引用
收藏
页数:12
相关论文
共 85 条
[1]   The application of 'least-cost' modelling as a functional landscape model [J].
Adriaensen, F ;
Chardon, JP ;
De Blust, G ;
Swinnen, E ;
Villalba, S ;
Gulinck, H ;
Matthysen, E .
LANDSCAPE AND URBAN PLANNING, 2003, 64 (04) :233-247
[2]  
[Anonymous], 1997, BOX IR FOR WOODL INV
[3]  
[Anonymous], 1999, ARCGIS
[4]   Landscape connectivity and animal behavior: functional grain as a key determinant for dispersal [J].
Baguette, Michel ;
Van Dyck, Hans .
LANDSCAPE ECOLOGY, 2007, 22 (08) :1117-1129
[5]   Simulation modelling in landscape genetics: on the need to go further [J].
Balkenhol, Niko ;
Landguth, Erin L. .
MOLECULAR ECOLOGY, 2011, 20 (04) :667-670
[6]   Statistical approaches in landscape genetics: an evaluation of methods for linking landscape and genetic data [J].
Balkenhol, Niko ;
Waits, Lisette P. ;
Dezzani, Raymond J. .
ECOGRAPHY, 2009, 32 (05) :818-830
[7]   Identifying future research needs in landscape genetics: where to from here? [J].
Balkenhol, Niko ;
Gugerli, Felix ;
Cushman, Sam A. ;
Waits, Lisette P. ;
Coulon, Aurelie ;
Arntzen, J. W. ;
Holderegger, Rolf ;
Wagner, Helene H. .
LANDSCAPE ECOLOGY, 2009, 24 (04) :455-463
[8]  
Bates D, 2011, IME4 LINEAR MIXED EF
[9]  
Bennett AF, 2009, CONSERV BIOL SER, P161
[10]   Genetic isolation by distance and landscape connectivity in the American marten (Martes americana) [J].
Broquet, Thomas ;
Ray, Nicolas ;
Petit, Eric ;
Fryxell, John M. ;
Burel, Francoise .
LANDSCAPE ECOLOGY, 2006, 21 (06) :877-889