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.
Rocchini, D., Marcantonio, M., Arhonditsis, G., Cacciato, A.L., Hauffe, H.C., He, K.S. (2019). Cartogramming uncertainty in species distribution models: A Bayesian approach. ECOLOGICAL COMPLEXITY, 38, 146-155 [10.1016/j.ecocom.2019.04.002].
Cartogramming uncertainty in species distribution models: A Bayesian approach
Rocchini, Duccio;
2019
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.