High-Resolution Mapping of Fish Conservation Priorities within the Mobile River Basin
type: CreativeWork
description: Identifying potential protected areas is increasingly important as freshwater fishes and associated aquatic organisms are under increasing peril. Human population, growth and subsequent landscape alteration, is degrading water quality and changing the physical characteristics of streams, potentially threatening aquatic species. The goal is to assess the capacity for protected areas to maintain diverse stream fish communities within the Mobile River Basin, including the upper Coosa River basin, by overlaying projections of fish species distributions and footprints of protected areas. Tools for identifying fish species distributions, environmental predictors, and potential protected areas include spatial conservation prioritization algorithms combined with open access electronic databases (Troia and McManamay 2016). These libraries provide a list of species inventories built up over time, cover a wide range of geographic areas and environments, and help to check for presence and distribution of species. I developed environmental niche models (hereafter “ENMs”) using the Maximum Entropy algorithm (MaxEnt) and spatial conservation prioritization algorithm (Marxan) to map the fish presence maps of 176 species over 66,509 reaches using open-source species occurrence records from the IchthyMaps dataset and stream-reach environmental predictors from the StreamCat dataset. ENMs are fit for 172-target species, with high model accuracy (mean AUC = 0.89 range 0.65 to 0.99). Geospatial analysis evaluates if protected areas overlap in the diverse and unique reaches. Lastly, potential priority protected areas for conservation planning are identified.
abstract: Identifying potential protected areas is increasingly important as freshwater fishes and associated aquatic organisms are under increasing peril. Human population, growth and subsequent landscape alteration, is degrading water quality and changing the physical characteristics of streams, potentially threatening aquatic species. The goal is to assess the capacity for protected areas to maintain diverse stream fish communities within the Mobile River Basin, including the upper Coosa River basin, by overlaying projections of fish species distributions and footprints of protected areas. Tools for identifying fish species distributions, environmental predictors, and potential protected areas include spatial conservation prioritization algorithms combined with open access electronic databases (Troia and McManamay 2016). These libraries provide a list of species inventories built up over time, cover a wide range of geographic areas and environments, and help to check for presence and distribution of species. I developed environmental niche models (hereafter “ENMs”) using the Maximum Entropy algorithm (MaxEnt) and spatial conservation prioritization algorithm (Marxan) to map the fish presence maps of 176 species over 66,509 reaches using open-source species occurrence records from the IchthyMaps dataset and stream-reach environmental predictors from the StreamCat dataset. ENMs are fit for 172-target species, with high model accuracy (mean AUC = 0.89 range 0.65 to 0.99). Geospatial analysis evaluates if protected areas overlap in the diverse and unique reaches. Lastly, potential priority protected areas for conservation planning are identified.
author: Carl, James R
keywords: Priority protected land, ENMs, Freshwater fish, Mobile River Basin, Biology, Integrative Biology
date published: 2020-07-03T07:00:00Z
date modified: 2026-07-24T02:43:42Z
provider: Kennesaw State University
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Kennesaw State University