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Elise F. Zipkin

Researcher at Michigan State University

Publications -  94
Citations -  4080

Elise F. Zipkin is an academic researcher from Michigan State University. The author has contributed to research in topics: Population & Biodiversity. The author has an hindex of 29, co-authored 84 publications receiving 3192 citations. Previous affiliations of Elise F. Zipkin include Patuxent Wildlife Research Center & University of Wisconsin-Madison.

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Presence‐only modelling using MAXENT: when can we trust the inferences?

TL;DR: There are many misconceptions concerning the use of presence-only models, including the misunderstanding that MAXENT, and other presence- only methods, relieve users from the constraints of survey design, and a series of recommendations that researchers analyse data in a presence–absence framework whenever possible, because fewer assumptions are required and inferences are made about clearly defined parameters such as occurrence probability.
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Impacts of forest fragmentation on species richness: a hierarchical approach to community modelling

TL;DR: This paper developed a hierarchical model to assess the community response of breeding birds in the Hudson River Valley, New York, to habitat fragmentation and analyzed the model using a Bayesian approach, and used the fitted model to make predictions of species richness within forest fragments of variable morphology.
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Multi-species occurrence models to evaluate the effects of conservation and management actions

TL;DR: In this paper, the authors present a framework for assessing management actions on biodiversity using a multi-species hierarchical model that estimates individual species occurrences, while accounting for imperfect detection of species.
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Synthesizing multiple data types for biological conservation using integrated population models

TL;DR: This paper demonstrates how IPMs can be successfully implemented by synthesizing the elements, advantages, and novel insights of this modeling approach, and highlights the latest developments that are explicitly relevant to the ecology and conservation of threatened species.
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Joint dynamic species distribution models: a tool for community ordination and spatio‐temporal monitoring

TL;DR: Case study applications show that that JDSDMs can be used for species ordination, and suggest future research that could incorporate phylogenetic relatedness or functional similarity, and propose that the approach could be used to monitor community dynamics at large spatial and temporal scales.