The importance of correcting for sampling bias in MaxEnt species distribution models

Kramer‐Schadt, Stephanie; Niedballa, Jürgen; D. Pilgrim, John; Schröder, Boris; Lindenborn, Jana; Reinfelder, Vanessa; Stillfried, Milena; Heckmann, Ilja; K. Scharf, Anne; M. Augeri, Dave; M. Cheyne, Susan; J. Hearn, Andrew; Ross, Joanna; W. Macdonald, David; Mathai, John; A. Eaton, James; J. Marshall, Andrew; Semiadi, Gono; Rustam, Rustam; Bernard, Henry; Alfred, Raymond; Samejima, Hiromitsu; W. Duckworth, J.; Breitenmoser‐Würsten, Christine; L. Belant, Jerrold; Hofer, Heribert; Wilting, Andreas

doi:10.1111/ddi.12096

Public

The importance of correcting for sampling bias in MaxEnt species distribution models

Published in Diversity and Distributions • Jul 2, 2013

Authors:

Stephanie Kramer‐Schadt

Jürgen Niedballa

John D. Pilgrim

Abstract

Abstract Aim Advancement in ecological methods predicting species distributions is a crucial precondition for deriving sound management actions. Maximum entropy (MaxEnt) models are a popular tool to predict species distributions, as they are considered able to cope well with sparse, irregularly samp...

Subject

Environmental niche modelling

Range (aeronautics)

Species distribution

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