Identifying future research needs in landscape genetics: where to from here?

被引:145
作者
Balkenhol, Niko [1 ]
Gugerli, Felix [2 ]
Cushman, Sam A. [3 ]
Waits, Lisette P. [1 ]
Coulon, Aurelie [4 ]
Arntzen, J. W. [5 ]
Holderegger, Rolf [2 ]
Wagner, Helene H. [6 ]
机构
[1] Univ Idaho, Dept Fish & Wildlife Resources, Moscow, ID 83844 USA
[2] WSL Eidgenoss Forsch Sanstalt, CH-8903 Birmensdorf, Switzerland
[3] Rocky Mt Res Stn, Missoula, MT 59801 USA
[4] Cornell Lab Ornithol, Ithaca, NY 14850 USA
[5] Natl Museum Nat Hist, Res Dept, NL-2300 RA Leiden, Netherlands
[6] Univ Toronto, Dept Ecol & Evolutionary Biol, Mississauga, ON L5L 1C6, Canada
基金
美国国家科学基金会;
关键词
Landscape resistance; Adaptive genetic variation; Gene flow; Single nucleotide polymorphisms; Spatial heterogeneity; Spatio temporal scale; POPULATION-STRUCTURE; HABITAT FRAGMENTATION; ENVIRONMENTAL-FACTORS; SYMPATRIC SPECIATION; SPATIAL-ANALYSIS; CIRCUIT-THEORY; DIVERSITY; ECOLOGY; GUIDE; FLOW;
D O I
10.1007/s10980-009-9334-z
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Landscape genetics is an emerging interdisciplinary field that combines methods and concepts from population genetics, landscape ecology, and spatial statistics. The interest in landscape genetics is steadily increasing, and the field is evolving rapidly. We here outline four major challenges for future landscape genetic research that were identified during an international landscape genetics workshop. These challenges include (1) the identification of appropriate spatial and temporal scales; (2) current analytical limitations; (3) the expansion of the current focus in landscape genetics; and (4) interdisciplinary communication and education. Addressing these research challenges will greatly improve landscape genetic applications, and positively contribute to the future growth of this promising field.
引用
收藏
页码:455 / 463
页数:9
相关论文
共 56 条
[1]  
[Anonymous], 1954, Evolution as a process
[2]  
BALKENHOL N, 2009, ECOGRAPHY IN PRESS, DOI DOI 10.1111/J.1600-0587.2009.05807.X
[3]   Sympatric speciation: Models and empirical evidence [J].
Bolnick, Daniel I. ;
Fitzpatrick, Benjamin M. .
ANNUAL REVIEW OF ECOLOGY EVOLUTION AND SYSTEMATICS, 2007, 38 :459-487
[4]   The utility of single nucleotide polymorphisms in inferences of population history [J].
Brumfield, RT ;
Beerli, P ;
Nickerson, DA ;
Edwards, SV .
TRENDS IN ECOLOGY & EVOLUTION, 2003, 18 (05) :249-256
[5]   Bayesian clustering algorithms ascertaining spatial population structure:: a new computer program and a comparison study [J].
Chen, Chibiao ;
Durand, Eric ;
Forbes, Florence ;
Francois, Olivier .
MOLECULAR ECOLOGY NOTES, 2007, 7 (05) :747-756
[6]   Landscape connectivity influences gene flow in a roe deer population inhabiting a fragmented landscape: an individual-based approach [J].
Coulon, A ;
Cosson, JF ;
Angibault, JM ;
Cargnelutti, B ;
Galan, M ;
Morellet, N ;
Petit, E ;
Aulagnier, S ;
Hewison, AJM .
MOLECULAR ECOLOGY, 2004, 13 (09) :2841-2850
[7]   Effects of habitat loss and fragmentation on amphibians: A review and prospectus [J].
Cushman, SA .
BIOLOGICAL CONSERVATION, 2006, 128 (02) :231-240
[8]   Gene flow in complex landscapes: Testing multiple hypotheses with causal modeling [J].
Cushman, Samuel A. ;
McKelvey, Kevin S. ;
Hayden, Jim ;
Schwartz, Michael K. .
AMERICAN NATURALIST, 2006, 168 (04) :486-499
[9]   Use of Empirically Derived Source-Destination Models to Map Regional Conservation Corridors [J].
Cushman, Samuel A. ;
McKelvey, Kevin S. ;
Schwartz, Michael K. .
CONSERVATION BIOLOGY, 2009, 23 (02) :368-376
[10]  
Davies KF, 2001, CONSERVATION BIOLOGY: RESEARCH PRIORITIES FOR THE NEXT DECADE, P81