Ability of Matrix Models to Explain the Past and Predict the Future of Plant Populations

Autor:	Gerard Oostermeijer, Timothy A. Bell, William F. Morris, Thomas N. Kaye, Martha M. Ellis, Elizabeth E. Crone, Tamara Ticktin, Eric S. Menges, Amanda Stanley, Jennifer L. Williams, Paulette Bierzychudek, R. Ganesan, Kathyrn Mceachern, Johan Ehrlén, Tiffany M. Knight, Daniel F. Doak, Teresa Valverde, Andrea S. Thorpe, Peter Lesica, Pedro F. Quintana-Ascencio
Rok vydání:	2013
Předmět:	Population viability analysis Ecology Environmental change Ecology (disciplines) education population characteristics Ecological forecasting social sciences health care economics and organizations Ecology Evolution Behavior and Systematics Nature and Landscape Conservation
Zdroj:	Conservation Biology. 27:968-978
ISSN:	0888-8892
DOI:	10.1111/cobi.12049
Popis:	Uncertainty associated with ecological forecasts has long been recognized, but forecast accuracy is rarely quantified. We evaluated how well data on 82 populations of 20 species of plants spanning ...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ef3eb7ce36ed9e4e5f47852592febe0a https://doi.org/10.1111/cobi.12049 Zobrazit plný text záznamu Plný text