Literature DB >> 33508032

Joint species distribution models of Everglades wading birds to inform restoration planning.

Laura E D'Acunto1, Leonard Pearlstine2, Stephanie S Romañach1.   

Abstract

Restoration of the Florida Everglades, a substantial wetland ecosystem within the United States, is one of the largest ongoing restoration projects in the world. Decision-makers and managers within the Everglades ecosystem rely on ecological models forecasting indicator wildlife response to changes in the management of water flows within the system. One such indicator of ecosystem health, the presence of wading bird communities on the landscape, is currently assessed using three species distribution models that assume perfect detection and report output on different scales that are challenging to compare against one another. We sought to use current advancements in species distribution modeling to improve models of Everglades wading bird distribution. Using a joint species distribution model that accounted for imperfect detection, we modeled the presence of nine species of wading bird simultaneously in response to annual hydrologic conditions and landscape characteristics within the Everglades system. Our resulting model improved upon the previous model in three key ways: 1) the model predicts probability of occupancy for the nine species on a scale of 0-1, making the output more intuitive and easily comparable for managers and decision-makers that must consider the responses of several species simultaneously; 2) through joint species modeling, we were able to consider rarer species within the modeling that otherwise are detected in too few numbers to fit as individual models; and 3) the model explicitly allows detection probability of species to be less than 1 which can reduce bias in the site occupancy estimates. These improvements are essential as Everglades restoration continues and managers require models that consider the impacts of water management on key indicator wildlife such as the wading bird community.

Entities:  

Year:  2021        PMID: 33508032      PMCID: PMC7842948          DOI: 10.1371/journal.pone.0245973

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  8 in total

Review 1.  So Many Variables: Joint Modeling in Community Ecology.

Authors:  David I Warton; F Guillaume Blanchet; Robert B O'Hara; Otso Ovaskainen; Sara Taskinen; Steven C Walker; Francis K C Hui
Journal:  Trends Ecol Evol       Date:  2015-10-28       Impact factor: 17.712

2.  Commonness, population depletion and conservation biology.

Authors:  Kevin J Gaston; Richard A Fuller
Journal:  Trends Ecol Evol       Date:  2007-11-26       Impact factor: 17.712

3.  Using scenario planning to evaluate the impacts of climate change on wildlife populations and communities in the Florida Everglades.

Authors:  Christopher P Catano; Stephanie S Romañach; James M Beerens; Leonard G Pearlstine; Laura A Brandt; Kristen M Hart; Frank J Mazzotti; Joel C Trexler
Journal:  Environ Manage       Date:  2014-11-05       Impact factor: 3.266

4.  Joint species distribution models with species correlations and imperfect detection.

Authors:  Mathias W Tobler; Marc Kéry; Francis K C Hui; Gurutzeta Guillera-Arroita; Peter Knaus; Thomas Sattler
Journal:  Ecology       Date:  2019-05-30       Impact factor: 5.499

5.  Evaluating the predictive abilities of community occupancy models using AUC while accounting for imperfect detection.

Authors:  Elise F Zipkin; Evan H Campbell Grant; William F Fagan
Journal:  Ecol Appl       Date:  2012-10       Impact factor: 4.657

6.  Co-occurrence is not evidence of ecological interactions.

Authors:  F Guillaume Blanchet; Kevin Cazelles; Dominique Gravel
Journal:  Ecol Lett       Date:  2020-05-19       Impact factor: 9.492

7.  Mechanisms That Generate Resource Pulses in a Fluctuating Wetland.

Authors:  Bryan A Botson; Dale E Gawlik; Joel C Trexler
Journal:  PLoS One       Date:  2016-07-22       Impact factor: 3.240

8.  Linking Dynamic Habitat Selection with Wading Bird Foraging Distributions across Resource Gradients.

Authors:  James M Beerens; Erik G Noonburg; Dale E Gawlik
Journal:  PLoS One       Date:  2015-06-24       Impact factor: 3.240

  8 in total

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