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ORIGINAL RESEARCH article

Front. Conserv. Sci.
Sec. Animal Conservation
Volume 5 - 2024 | doi: 10.3389/fcosc.2024.1406944
This article is part of the Research Topic Linking Habitat Quality to Population Dynamics for Conservation Decision Making. View all 3 articles

Consolidating Diverse Modeling Methods and Spatial Prioritization for Multispecies Connectivity Planning

Provisionally accepted
Eve Bohnett Eve Bohnett 1*Jon Oetting Jon Oetting 2Reed Noss Reed Noss 3Michael O'Brien Michael O'Brien 1Robert Frakes Robert Frakes 4Dan Smith Dan Smith 1Sarah Lockhart Sarah Lockhart 1Jennifer Mullinax Jennifer Mullinax 5Brian Scheick Brian Scheick 6Erin Poor Erin Poor 5Tom Hoctor Tom Hoctor 1
  • 1 University of Florida, Gainesville, United States
  • 2 Florida State University, Tallahassee, Florida, United States
  • 3 Conservation Science Global, Inc., West Cape May, United States
  • 4 Independent researcher, Vero Beach, United States
  • 5 University of Maryland, Baltimore, Maryland, United States
  • 6 Florida Fish and Wildlife Conservation Commission, Tallahassee, Florida, United States

The final, formatted version of the article will be published soon.

    Given the different life histories and movement behaviors of diverse species, how to reconcile conservation measures to benefit all species is a critical concern for landscape conservation planning. Understanding land cover composition and finding multispecies movement routes across heterogeneous landscapes are crucial to maintaining many target species. The primary objectives of this study were to determine the optimal environment in Florida that promotes multispecies connectivity in landscapes increasingly threatened by rapid suburban development and to enhance methods for delineating the state's ecological networks. Potential functional connectivity of the focal species that have statewide distributions and are considered priorities because of the historical and current threats to their population viability, Florida black bear (Ursus americanus floridanus), Florida panther (Puma concolor coryi), eastern indigo snake (Drymarchon couperi) and southern fox squirrel (Sciurus niger niger) were modeled using Linkage Mapper, Omniscape, and resistant kernels. We also combined the quantiles from each method for a single species combination approach to leverage the results from the three models for planning purposes, and finally we integrated the results into a novel multiple species, multimodel connectivity mapping approach. Following the corridor analysis, a comparison was made between multispecies connectivity maps, the current managed conservation lands, and the main priority areas for the Florida Wildlife Corridor, a previously developed planning network of natural hubs and corridors. Our goal was to identify priority areas for all four species, with a particular focus on areas that are not protected. Finally, we used the spatial prioritization software Zonation to identify areas of conservation priority, while also illustrating the impacts of infrastructure (built infrastructure, roadways, mining, and future development 2040 and 2070 projections) and threats from human activity (landscape fragmentation, recreation, pollution, contamination, and clean-up sites). Species-relevant connectivity models that incorporate a group of focal species with both complementary and opposing habitat requirements can better inform biodiversity conservation and landscape design decisions for multiple species, and better cover a wider range of other species of conservation interest.

    Keywords: multispecies connectivity, Spatial conservation prioritization, Corridor design, infrastructure, landscape conservation planning, Landscape architecture

    Received: 25 Mar 2024; Accepted: 03 Jul 2024.

    Copyright: © 2024 Bohnett, Oetting, Noss, O'Brien, Frakes, Smith, Lockhart, Mullinax, Scheick, Poor and Hoctor. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Eve Bohnett, University of Florida, Gainesville, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.