Sammelbandbeitrag

Erschienen in: Predictive species and habitat modeling in landscape ecology ; concepts and applications

Herausgeberliste: Drew, CA; Wiersma, YF; Huetmann, F

Jahr der Veröffentlichung: 2011

Seiten: 189-208

ISBN: 978-1-4419-7389-4

eISBN: 978-1-4419-7390-0

DOI Link: https://doi.org/10.1007/978-1-4419-7390-0_10

Abstract: 

There is a strong need to assess impacts on wildlife and their habitats
before they occur, and to act proactively to avoid “costs” (e.g., loss
of species, wilderness, ecological ­services, human lives or money; see
Nielsen et al. 2008 for an applied example). Although the concept of
being proactive has been known for decades, the global climate change
discussion has brought these concepts to the forefront. Proactive action
also has use in impact studies of stochastic catastrophes such as
floods or hurricanes. Simulations and predictions across time can help
to mitigate or even resolve current problems (Fig. 10.1). Such
techniques are widely used to assess risks and they have evolved into
industrial standards elsewhere, such as in operations research (Fuller
et al. 2008), within the pharmaceutical, insurance, and car industries,
and in public health (Herrick et al. in press). Weather forecasts have
already shown the value and power of such models, ­driving many
day-to-day decisions.

Harvard-Zitierstil: Huetmann, F. and Gottschalk, T. (2011) Simplicity, Model Fit, Complexity and Uncertainty in Spatial Prediction Models Applied Over Time: We Are Quite Sure, Aren’t We?, in Drew, C., Wiersma, Y. and Huetmann, F. (eds.) Predictive species and habitat modeling in landscape ecology ; concepts and applications. New York: Springer-Verlag, pp. 189-208. https://doi.org/10.1007/978-1-4419-7390-0_10

APA-Zitierstil: Huetmann, F., & Gottschalk, T. (2011). Simplicity, Model Fit, Complexity and Uncertainty in Spatial Prediction Models Applied Over Time: We Are Quite Sure, Aren’t We?. In Drew, C., Wiersma, Y., & Huetmann, F. (Eds.), Predictive species and habitat modeling in landscape ecology ; concepts and applications (pp. 189-208). Springer-Verlag. https://doi.org/10.1007/978-1-4419-7390-0_10