Ecological-economic modeling for biodiversity management: potential, pitfalls, and prospects
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In: Conservation Biology, Vol. 20, No. 4, 08.2006, p. 1034-1041.
Research output: Journal contributions › Scientific review articles › Research
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TY - JOUR
T1 - Ecological-economic modeling for biodiversity management
T2 - potential, pitfalls, and prospects
AU - Wätzold, Frank
AU - Drechsler, Martin
AU - Armstrong, Claire W.
AU - Baumgärtner, Stefan
AU - Grimm, Volker
AU - Huth, Andreas
AU - Perrings, Charles
AU - Possingham, Hugh P.
AU - Shogren, Jason F.
AU - Skonhoft, Anders
AU - Verboom-Vasiljev, Jana
AU - Wissel, Christian
PY - 2006/8
Y1 - 2006/8
N2 - Ecologists and economists both use models to help develop strategies for biodiversity management. The practical use of disciplinary models, however, can be limited because ecological models tend not to address the socioeconomic dimension of biodiversity management, whereas economic models tend to neglect the ecological dimension. Given these shortcomings of disciplinary models, there is a necessity to combine ecological and economic knowledge into ecological-economic models. It is insufficient if scientists work separately in their own disciplines and combine their knowledge only when it comes to formulating management recommendations. Such an approach does not capture feedback loops between the ecological and the socioeconomic systems. Furthermore, each discipline poses the management problem in its own way and comes up with its own most appropriate solution. These disciplinary solutions, however, are likely to be so different that a combined solution considering aspects of both disciplines cannot be found. Preconditions for a successful model-based integration of ecology and economics include (1) an in-depth knowledge of the two disciplines, (2) the adequate identification and framing of the problem to be investigated, and (3) a common understanding between economists and ecologists of modeling and scale. To further advance ecological-economic modeling the development of common benchmarks, quality controls, and refereeing standards for ecological-economic models is desirable.
AB - Ecologists and economists both use models to help develop strategies for biodiversity management. The practical use of disciplinary models, however, can be limited because ecological models tend not to address the socioeconomic dimension of biodiversity management, whereas economic models tend to neglect the ecological dimension. Given these shortcomings of disciplinary models, there is a necessity to combine ecological and economic knowledge into ecological-economic models. It is insufficient if scientists work separately in their own disciplines and combine their knowledge only when it comes to formulating management recommendations. Such an approach does not capture feedback loops between the ecological and the socioeconomic systems. Furthermore, each discipline poses the management problem in its own way and comes up with its own most appropriate solution. These disciplinary solutions, however, are likely to be so different that a combined solution considering aspects of both disciplines cannot be found. Preconditions for a successful model-based integration of ecology and economics include (1) an in-depth knowledge of the two disciplines, (2) the adequate identification and framing of the problem to be investigated, and (3) a common understanding between economists and ecologists of modeling and scale. To further advance ecological-economic modeling the development of common benchmarks, quality controls, and refereeing standards for ecological-economic models is desirable.
KW - Sustainability sciences, Management & Economics
KW - biodiversity management
KW - conservation
KW - economics
KW - interdisciplinary research
KW - Economics
KW - biodiversity management
KW - conservation
KW - economics
KW - interdisciplinary research
UR - http://www.scopus.com/inward/record.url?scp=33746354009&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/f1fbf28c-909a-37ff-8ede-62c515e80380/
U2 - 10.1111/j.1523-1739.2006.00353.x
DO - 10.1111/j.1523-1739.2006.00353.x
M3 - Scientific review articles
VL - 20
SP - 1034
EP - 1041
JO - Conservation Biology
JF - Conservation Biology
SN - 0888-8892
IS - 4
ER -