Why evolutionary biologists should get seriously involved in ecological monitoring and applied biodiversity assessment programs

被引:42
作者
Brodersen, Jakob [1 ]
Seehausen, Ole [1 ,2 ]
机构
[1] EAWAG Swiss Fed Inst Aquat Sci & Technol, Ctr Ecol Evolut & Biogeochem, Dept Fish Ecol & Evolut, CH-6047 Kastanienbaum, Switzerland
[2] Univ Bern, Inst Ecol & Evolut, Div Aquat Ecol & Evolut, Bern, Switzerland
关键词
conservation; ecosystem monitoring; evolutionary biology; genotypes; management; phenotypes; TROUT SALMO-TRUTTA; GRAYLING THYMALLUS-THYMALLUS; FRESH-WATER; GENETIC-VARIATION; RAPID EVOLUTION; MICROGEOGRAPHIC SCALE; POPULATION-STRUCTURE; SPECIATION REVERSAL; ADAPTIVE RADIATIONS; GLOBAL BIODIVERSITY;
D O I
10.1111/eva.12215
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
While ecological monitoring and biodiversity assessment programs are widely implemented and relatively well developed to survey and monitor the structure and dynamics of populations and communities in many ecosystems, quantitative assessment and monitoring of genetic and phenotypic diversity that is important to understand evolutionary dynamics is only rarely integrated. As a consequence, monitoring programs often fail to detect changes in these key components of biodiversity until after major loss of diversity has occurred. The extensive efforts in ecological monitoring have generated large data sets of unique value to macro-scale and long-term ecological research, but the insights gained from such data sets could be multiplied by the inclusion of evolutionary biological approaches. We argue that the lack of process-based evolutionary thinking in ecological monitoring means a significant loss of opportunity for research and conservation. Assessment of genetic and phenotypic variation within and between species needs to be fully integrated to safeguard biodiversity and the ecological and evolutionary dynamics in natural ecosystems. We illustrate our case with examples from fishes and conclude with examples of ongoing monitoring programs and provide suggestions on how to improve future quantitative diversity surveys.
引用
收藏
页码:968 / 983
页数:16
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