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EnglishPredicting the geographical distribution of a species is a central topic in ecology, conservation and management of natural resources especially for invasive organisms. Invasive species can modify the structure and function of invaded ecosystems, altering their biodiversity, and causing significant economic losses locally and globally. Therefore, measuring and visualizing the uncertainty inherent in species’ potential distributions is fundamental for effective biodiversity monitoring and planning conservation interventions. This paper discusses a new Bayesian approach to mapping this uncertainty using cartograms, previously published knowledge, and pre- sence/absence data.
| Titolo: | Advances in Microclimate Ecology Arising from Remote Sensing |
| Autore/i: | Zellweger, Florian; De Frenne, Pieter; Lenoir, Jonathan; Rocchini, Duccio; Coomes, David |
| Autore/i Unibo: | |
| Anno: | 2019 |
| Rivista: | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1016/j.tree.2018.12.012 |
| Abstract: | Predicting the geographical distribution of a species is a central topic in ecology, conservation and management of natural resources especially for invasive organisms. Invasive species can modify the structure and function of invaded ecosystems, altering their biodiversity, and causing significant economic losses locally and globally. Therefore, measuring and visualizing the uncertainty inherent in species’ potential distributions is fundamental for effective biodiversity monitoring and planning conservation interventions. This paper discusses a new Bayesian approach to mapping this uncertainty using cartograms, previously published knowledge, and pre- sence/absence data. |
| Data stato definitivo: | 2020-03-02T09:41:14Z |
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