An efficient extension of N‐mixture models for multi‐species abundance estimation

E-ISSN： 2041-210x|9|2|340-353

ISSN： 2041-210X

Source： METHODS IN ECOLOGY AND EVOLUTION, Vol.9, Iss.2, 2018-02, pp. : 340-353

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Intrinsic heterogeneity in detection probability and its effect on N‐mixture models

METHODS IN ECOLOGY AND EVOLUTION, Vol. 7, Iss. 9, 2016-09 ,pp. : 1019-1028

John Wiley & Sons Inc

Access to resources Recommend Favorite

Investigating Individual Differences in Toddler Search with Mixture Models

INFANT AND CHILD DEVELOPMENT (ELECTRONIC), Vol. 24, Iss. 1, 2015-01 ,pp. : 62-78

John Wiley & Sons Inc

Access to resources Recommend Favorite

Valid auto-models for spatially autocorrelated occupancy and abundance data

By Bardos David C. Guillera-Arroita Gurutzeta Wintle Brendan A.

Methods in Ecology and Evolution, Vol. 6, Iss. 10, 2015-10 ,pp. : 1137-1149

Barcelona Publishers Llc

Access to resources Recommend Favorite

Valid auto‐models for spatially autocorrelated occupancy and abundance data

METHODS IN ECOLOGY AND EVOLUTION, Vol. 6, Iss. 10, 2015-10 ,pp. : 1137-1149

John Wiley & Sons Inc

Access to resources Recommend Favorite

Quantifying apart what belongs together: A multi‐state species distribution modelling framework for species using distinct habitats

METHODS IN ECOLOGY AND EVOLUTION, Vol. 9, Iss. 1, 2018-01 ,pp. : 98-108

John Wiley & Sons Inc

Access to resources Recommend Favorite