Integrating biodiversity distribution knowledge: toward a global map of life

被引:388
作者
Jetz, Walter [1 ]
McPherson, Jana M. [2 ,3 ]
Guralnick, Robert P. [4 ,5 ]
机构
[1] Yale Univ, Dept Ecol & Evolutionary Biol, New Haven, CT 06520 USA
[2] Calgary Zool Soc, Ctr Conservat Res, Calgary, AB T2E 7V6, Canada
[3] Simon Fraser Univ, Burnaby, BC V5A 1S6, Canada
[4] Univ Colorado, Museum Nat Hist, Boulder, CO 80309 USA
[5] Univ Colorado, Dept Ecol & Evolutionary Biol, Boulder, CO 80309 USA
基金
美国国家科学基金会; 加拿大自然科学与工程研究理事会;
关键词
SPECIES DISTRIBUTION MODELS; HABITAT SUITABILITY MODEL; RICHNESS; PREDICTIONS; DIVERSITY; PATTERNS; UNCERTAINTY; SENSITIVITY; OCCUPANCY; ECOLOGY;
D O I
10.1016/j.tree.2011.09.007
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Global knowledge about the spatial distribution of species is orders of magnitude coarser in resolution than other geographically-structured environmental datasets such as topography or land cover. Yet such knowledge is crucial in deciphering ecological and evolutionary processes and in managing global change. In this review, we propose a conceptual and cyber-infrastructure framework for refining species distributional knowledge that is novel in its ability to mobilize and integrate diverse types of data such that their collective strengths overcome individual weaknesses. The ultimate aim is a public, online, quality-vetted 'Map of Life' that for every species integrates and visualizes available distributional knowledge, while also facilitating user feedback and dynamic biodiversity analyses. First milestones toward such an infrastructure have now been implemented.
引用
收藏
页码:151 / 159
页数:9
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