title: Why evolutionary biologists should get seriously involved in ecological monitoring and applied biodiversity assessment programs.
abstract: 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.
authors.affiliation: Department of Fish Ecology and Evolution, EAWAG Swiss Federal Institute of Aquatic Science and Technology, Center for Ecology, Evolution and Biogeochemistry Kastanienbaum, Switzerland.
authors.forename: Jakob
authors.initials: J
authors.lastname: Brodersen
authors.affiliation: Department of Fish Ecology and Evolution, EAWAG Swiss Federal Institute of Aquatic Science and Technology, Center for Ecology, Evolution and Biogeochemistry Kastanienbaum, Switzerland ; Division of Aquatic Ecology and Evolution, Institute of Ecology and Evolution, University of Bern Bern, Switzerland.
authors.forename: Ole
authors.initials: O
authors.lastname: Seehausen
keywords: conservation; ecosystem monitoring; evolutionary biology; genotypes; management; phenotypes