Modelling species distribution is one of the most widely used approaches used by modern ecologists to predict species occurrence as well as to explore the environmental variables that determine the presence of a species in an habitat. Given the outstanding importance of mammals in the context of conservation or management actions, it is not surprising that an ever increasing number of mammalogists have successfully employed species distribution models over the last few years. As a scientific journal devoted to mammal natural history, Hystrix, the Italian Journal of Mammalogy is pleased to present a collection of articles forming a special issue that deals with such an important and timely matter.

Species Distribution Models: exploring patterns and processes in mammal ecology / Russo, Danilo; Maiorano, Luigi; Rebelo, Hugo; Preatoni, Damiano G.. - In: HYSTRIX. - ISSN 1825-5272. - 27:1(2016), pp. 3-4. [10.4404/hystrix-27.1-12101]

Species Distribution Models: exploring patterns and processes in mammal ecology

RUSSO, DANILO;
2016

Abstract

Modelling species distribution is one of the most widely used approaches used by modern ecologists to predict species occurrence as well as to explore the environmental variables that determine the presence of a species in an habitat. Given the outstanding importance of mammals in the context of conservation or management actions, it is not surprising that an ever increasing number of mammalogists have successfully employed species distribution models over the last few years. As a scientific journal devoted to mammal natural history, Hystrix, the Italian Journal of Mammalogy is pleased to present a collection of articles forming a special issue that deals with such an important and timely matter.
2016
Species Distribution Models: exploring patterns and processes in mammal ecology / Russo, Danilo; Maiorano, Luigi; Rebelo, Hugo; Preatoni, Damiano G.. - In: HYSTRIX. - ISSN 1825-5272. - 27:1(2016), pp. 3-4. [10.4404/hystrix-27.1-12101]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/661240
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