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Layers:

• ChipolaSlabshell_Late_2m (0)
• ChipolaSlabshell_Late_1m (1)
• ChipolaSlabshell_Late_noSLR (2)
• ChipolaSlabshell_Mid_1m (3)
• ChipolaSlabshell_Mid_noSLR (4)
• ChipolaSlabshell_Past_noSLR (5)

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Spatial Reference: 26916  (26916)


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Spatial Reference: 26916  (26916)

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Spatial Reference: 26916  (26916)

Units: esriMeters

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info:

Title: ChipolaSlabshell.mxd
Author:
Comments: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Our objective was to develop a species-distribution model using habitat associations that represent probability of suitable habitat for the species historical range and the range under climate change scenarios including a hot/dry prediction (MIROC3.2) and a cool/wet prediction (ECHAM5) and 1-m and 2-m sea level rise scenarios; urban growth was also inlcuded. Future model predictions were based on extrapolated data for two time steps in the 21st century: mid (2046-2064) and late (2081-2100). Species distributions were modeled with Maxent (Maximum Entropy presence-only algorithm); climate change scenarios were based on precipitaion and temperature changes as applied to stream condtions (e.g., flow) modeled with ArcSWAT (Soil and Water Assessment Tool), which also factors in urban area change which we modeled using SLEUTH (Slope, Land cover, Exclusion, Urbanization, Transportation and Hillshade forescast model). Modeling results for streams were summarized within catchments and Importance Indices were developed to represent how suitbale habitat may change based on each climate scenario separately and added together.</SPAN></P></DIV></DIV></DIV>
Subject: To demonstrate habitat suitability for freshwater aquatic species (primarily in streams and their catchments) in the Florida panhandle under changing environmental conditions (e.g., precipitation, temperature, sea level rise and urban growth). Suitabilty of catchments is signified by a continuous scale based on a derived Importance Index.
Category:
Keywords: United States of America, National Hydrography Dataset, Florida, species models, catchment, GIS, Watershed
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