Sammelbandbeitrag

Modelling the Everglades Ecosystem


AutorenlisteJopp, F; DeAngelis, DL

Erschienen inModelling Complex Ecological Dynamics : an introduction into ecological modelling for students, teachers & scientists

HerausgeberlisteJopp, F; Reuter, H; Breckling, B

Jahr der Veröffentlichung2011

Seiten291-300

ISBN978-3-642-05028-2

eISBN978-3-642-05029-9

DOI Linkhttps://doi.org/10.1007/978-3-642-05029-9_21


Abstract

The Everglades represent a delicate ecosystem in Southern Florida and is
the largest sub-tropical wetland system in the USA. It provides home
for a wide variety of unique biodiversity and wildlife. Due to its
vicinity to human settlements, the Everglades have been under threat
since the beginning of the twentieth century. With the dangers of Global
Change on the horizon, this pressure will increase in the near future.
The Comprehensive Everglades Restoration Plan (CERP) is a major
environmental restoration effort, which is under way and will profoundly
affect the Everglades and its neighbouring ecosystems in southern
Florida. In the CERP, ecological modelling plays a central role for
science-based decision making. In this paper, we introduce the general
strategy of modelling for the purpose of ecosystem restoration. We also
present two special modelling frameworks and show how they are being
used for ecosystem and population-level modelling to help in the
planning and evaluation of Everglades restoration.




Zitierstile

Harvard-ZitierstilJopp, F. and DeAngelis, D. (2011) Modelling the Everglades Ecosystem, in Jopp, F., Reuter, H. and Breckling, B. (eds.) Modelling Complex Ecological Dynamics : an introduction into ecological modelling for students, teachers & scientists. Berlin: Springer, pp. 291-300. https://doi.org/10.1007/978-3-642-05029-9_21

APA-ZitierstilJopp, F., & DeAngelis, D. (2011). Modelling the Everglades Ecosystem. In Jopp, F., Reuter, H., & Breckling, B. (Eds.), Modelling Complex Ecological Dynamics : an introduction into ecological modelling for students, teachers & scientists (pp. 291-300). Springer. https://doi.org/10.1007/978-3-642-05029-9_21


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