The Use of Stochastic Dynamic Programming in Optimal Landscape Reconstruction for Metapopulations

Autor: Westphal, Michael I., Pickett, Marcus, Getz, Wayne M., Possingham, Hugh P.

Publikováno v: Ecological Applications, 2003 Apr 01. 13(2), 543-555.

Externí odkaz: https://www.jstor.org/stable/3099917

Analysis on the optimality of Lithuanian landscape structure

Autor: Giedrė Ivavičiūtė

The aim of this study was to perform an analysis of the optimality of the landscape structure of the Republic of Lithuania. Various scientific methods were used in the study, namely: comparative, grouping, analytical, statistical data, graphical repr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d76c18d05bb335da3b830c361ab641d7
https://doi.org/10.22616/rrd.27.2021.038

The use of stochastic dynamic programming in optimal landscape reconstruction for metapopulations

Autor: Westphal, M. I., Pickett, M., Wayne Getz, Possingham, H. P.

Publikováno v: Westphal, M I; Pickett, M; Getz, Wayne M; & Possingham, H P. (2003). The use of stochastic dynamic programming in optimal landscape reconstruction for metapopulations. Ecological Applications, 13(2), 543-555. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/1kg105h5
Scopus-Elsevier

A decision theory framework can be a powerful technique to derive optimal management decisions for endangered species. We built a spatially realistic stochastic metapopulation model for the Mount Lofty Ranges Southern Emu-wren (Stipiturus malachurus

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::75b5b34d6d41baf5ed0af700365c83a2
http://www.escholarship.org/uc/item/1kg105h5

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