Comparing Habitat Suitability and Connectivity Modeling Methods for Conserving Pronghorn Migrations
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{"title"=>"Comparing Habitat Suitability and Connectivity Modeling Methods for Conserving Pronghorn Migrations", "type"=>"journal", "authors"=>[{"first_name"=>"Erin E.", "last_name"=>"Poor", "scopus_author_id"=>"55486772300"}, {"first_name"=>"Colby", "last_name"=>"Loucks", "scopus_author_id"=>"6701641843"}, {"first_name"=>"Andrew", "last_name"=>"Jakes", "scopus_author_id"=>"55486612600"}, {"first_name"=>"Dean L.", "last_name"=>"Urban", "scopus_author_id"=>"35568952900"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84869205478", "pui"=>"366057785", "sgr"=>"84869205478", "isbn"=>"1932-6203", "issn"=>"19326203", "pmid"=>"23166656", "doi"=>"10.1371/journal.pone.0049390"}, "id"=>"c5b770a5-e905-316c-989a-fb58ac450dd8", "abstract"=>"Terrestrial long-distance migrations are declining globally: in North America, nearly 75% have been lost. Yet there has been limited research comparing habitat suitability and connectivity models to identify migration corridors across increasingly fragmented landscapes. Here we use pronghorn (Antilocapra americana) migrations in prairie habitat to compare two types of models that identify habitat suitability: maximum entropy (Maxent) and expert-based (Analytic Hierarchy Process). We used distance to wells, distance to water, NDVI, land cover, distance to roads, terrain shape and fence presence to parameterize the models. We then used the output of these models as cost surfaces to compare two common connectivity models, least-cost modeling (LCM) and circuit theory. Using pronghorn movement data from spring and fall migrations, we identified potential migration corridors by combining each habitat suitability model with each connectivity model. The best performing model combination was Maxent with LCM corridors across both seasons. Maxent out-performed expert-based habitat suitability models for both spring and fall migrations. However, expert-based corridors can perform relatively well and are a cost-effective alternative if species location data are unavailable. Corridors created using LCM out-performed circuit theory, as measured by the number of pronghorn GPS locations present within the corridors. We suggest the use of a tiered approach using different corridor widths for prioritizing conservation and mitigation actions, such as fence removal or conservation easements.", "link"=>"http://www.mendeley.com/research/comparing-habitat-suitability-connectivity-modeling-methods-conserving-pronghorn-migrations", "reader_count"=>179, "reader_count_by_academic_status"=>{"Unspecified"=>6, "Professor > Associate Professor"=>6, "Librarian"=>1, "Researcher"=>43, "Student > Doctoral Student"=>13, "Student > Ph. D. Student"=>33, "Student > Postgraduate"=>8, "Student > Master"=>40, "Other"=>7, "Student > Bachelor"=>18, "Professor"=>4}, "reader_count_by_user_role"=>{"Unspecified"=>6, "Professor > Associate Professor"=>6, "Librarian"=>1, "Researcher"=>43, "Student > Doctoral Student"=>13, "Student > Ph. D. Student"=>33, "Student > Postgraduate"=>8, "Student > Master"=>40, "Other"=>7, "Student > Bachelor"=>18, "Professor"=>4}, "reader_count_by_subject_area"=>{"Unspecified"=>11, "Engineering"=>2, "Environmental Science"=>57, "Biochemistry, Genetics and Molecular Biology"=>2, "Mathematics"=>1, "Agricultural and Biological Sciences"=>98, "Arts and Humanities"=>1, "Business, Management and Accounting"=>1, "Veterinary Science and Veterinary Medicine"=>1, "Social Sciences"=>3, "Earth and Planetary Sciences"=>2}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>2}, "Social Sciences"=>{"Social Sciences"=>3}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>98}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>11}, "Environmental Science"=>{"Environmental Science"=>57}, "Arts and Humanities"=>{"Arts and Humanities"=>1}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>1}}, "reader_count_by_country"=>{"United States"=>5, "United Kingdom"=>3, "Portugal"=>1, "India"=>1, "Canada"=>2, "Austria"=>1, "Czech Republic"=>1, "Korea (South)"=>1, "China"=>2, "Brazil"=>2, "Italy"=>1, "Mexico"=>2, "South Africa"=>1, "Australia"=>2, "Germany"=>3}, "group_count"=>5}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/541120"], "description"=>"<p>Percent of pronghorn locations and percent of study area within Montana and Saskatchewan for the fall pronghorn connectivity models. Maxent resistance surface and least-cost modeling (LCM) (A), Analytic Hierarchy Process (AHP) resistance surface and LCM corridors (B), Maxent resistance surface and Circuitscape (C) and AHP resistance surface and the Circuitscape connectivity model (D).</p>", "links"=>[], "tags"=>["included"], "article_id"=>211619, "categories"=>["Evolutionary Biology"], "users"=>["Erin E. Poor", "Colby Loucks", "Andrew Jakes", "Dean L. Urban"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049390.g004", "stats"=>{"downloads"=>2, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Pronghorn_and_area_included_within_fall_corridors_/211619", "title"=>"Pronghorn and area included within fall corridors.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-11-16 00:26:59"}
  • {"files"=>["https://ndownloader.figshare.com/files/289618", "https://ndownloader.figshare.com/files/289698", "https://ndownloader.figshare.com/files/289741", "https://ndownloader.figshare.com/files/289789", "https://ndownloader.figshare.com/files/289912", "https://ndownloader.figshare.com/files/289951", "https://ndownloader.figshare.com/files/290017", "https://ndownloader.figshare.com/files/290100", "https://ndownloader.figshare.com/files/290165", "https://ndownloader.figshare.com/files/290218", "https://ndownloader.figshare.com/files/290268", "https://ndownloader.figshare.com/files/290341", "https://ndownloader.figshare.com/files/290392", "https://ndownloader.figshare.com/files/290440", "https://ndownloader.figshare.com/files/290490", "https://ndownloader.figshare.com/files/290537"], "description"=>"<div><p>Terrestrial long-distance migrations are declining globally: in North America, nearly 75% have been lost. Yet there has been limited research comparing habitat suitability and connectivity models to identify migration corridors across increasingly fragmented landscapes. Here we use pronghorn (<em>Antilocapra americana</em>) migrations in prairie habitat to compare two types of models that identify habitat suitability: maximum entropy (Maxent) and expert-based (Analytic Hierarchy Process). We used distance to wells, distance to water, NDVI, land cover, distance to roads, terrain shape and fence presence to parameterize the models. We then used the output of these models as cost surfaces to compare two common connectivity models, least-cost modeling (LCM) and circuit theory. Using pronghorn movement data from spring and fall migrations, we identified potential migration corridors by combining each habitat suitability model with each connectivity model. The best performing model combination was Maxent with LCM corridors across both seasons. Maxent out-performed expert-based habitat suitability models for both spring and fall migrations. However, expert-based corridors can perform relatively well and are a cost-effective alternative if species location data are unavailable. Corridors created using LCM out-performed circuit theory, as measured by the number of pronghorn GPS locations present within the corridors. We suggest the use of a tiered approach using different corridor widths for prioritizing conservation and mitigation actions, such as fence removal or conservation easements.</p> </div>", "links"=>[], "tags"=>["comparing", "suitability", "connectivity", "modeling", "methods", "conserving", "pronghorn", "migrations"], "article_id"=>117028, "categories"=>["Evolutionary Biology"], "users"=>["Erin E. Poor", "Colby Loucks", "Andrew Jakes", "Dean L. Urban"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0049390.s001", "https://dx.doi.org/10.1371/journal.pone.0049390.s002", "https://dx.doi.org/10.1371/journal.pone.0049390.s003", "https://dx.doi.org/10.1371/journal.pone.0049390.s004", "https://dx.doi.org/10.1371/journal.pone.0049390.s005", "https://dx.doi.org/10.1371/journal.pone.0049390.s006", "https://dx.doi.org/10.1371/journal.pone.0049390.s007", "https://dx.doi.org/10.1371/journal.pone.0049390.s008", "https://dx.doi.org/10.1371/journal.pone.0049390.s009", "https://dx.doi.org/10.1371/journal.pone.0049390.s010", "https://dx.doi.org/10.1371/journal.pone.0049390.s011", "https://dx.doi.org/10.1371/journal.pone.0049390.s012", "https://dx.doi.org/10.1371/journal.pone.0049390.s013", "https://dx.doi.org/10.1371/journal.pone.0049390.s014", "https://dx.doi.org/10.1371/journal.pone.0049390.s015", "https://dx.doi.org/10.1371/journal.pone.0049390.s016"], "stats"=>{"downloads"=>22, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Comparing_Habitat_Suitability_and_Connectivity_Modeling_Methods_for_Conserving_Pronghorn_Migrations__/117028", "title"=>"Comparing Habitat Suitability and Connectivity Modeling Methods for Conserving Pronghorn Migrations", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2012-11-16 01:57:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/540835"], "description"=>"<p>Location of the study area in Montana and Saskatchewan (A) and pronghorn migrations for the spring of 2008 and 2009 (circles) and the fall of 2008 and 2009 (crosses) and the habitat patches (outlined in black) (B).</p>", "links"=>[], "tags"=>["Evolutionary biology"], "article_id"=>211333, "categories"=>["Evolutionary Biology"], "users"=>["Erin E. Poor", "Colby Loucks", "Andrew Jakes", "Dean L. Urban"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049390.g001", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Study_area_and_migration_locations_/211333", "title"=>"Study area and migration locations.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-11-16 00:22:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/541357"], "description"=>"1<p>Analytic Hierarchy Process.</p>", "links"=>[], "tags"=>["contributions", "maxent", "analytical", "hierarchy", "models", "pronghorn", "montana"], "article_id"=>211846, "categories"=>["Evolutionary Biology"], "users"=>["Erin E. Poor", "Colby Loucks", "Andrew Jakes", "Dean L. Urban"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049390.t002", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Relative_contributions_of_Maxent_and_the_Analytical_Hierarchy_Process_AHP_models_of_pronghorn_suitable_migration_habitat_in_Montana_and_Saskatchewan_/211846", "title"=>"Relative contributions of Maxent and the Analytical Hierarchy Process (AHP) models of pronghorn suitable migration habitat in Montana and Saskatchewan.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-11-16 00:30:46"}
  • {"files"=>["https://ndownloader.figshare.com/files/541206"], "description"=>"<p>The top corridors identified (the least-cost model-Maxent 1%–15% corridors) for fall (blue) and spring (yellow)(A) and the resulting recommended tiered Pronghorn Priority Areas, created from the 1% corridors (Tier 1, dark green), 5% corridors (Tier 2, medium green) and 10% LCM-Maxent corridors (Tier 3, light green) (B).</p>", "links"=>[], "tags"=>["corridors", "suggested", "pronghorn"], "article_id"=>211698, "categories"=>["Evolutionary Biology"], "users"=>["Erin E. Poor", "Colby Loucks", "Andrew Jakes", "Dean L. Urban"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049390.g005", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Top_corridors_and_suggested_Pronghorn_Priority_Areas_/211698", "title"=>"Top corridors and suggested Pronghorn Priority Areas.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-11-16 00:28:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/541313"], "description"=>"<p>Variables included in pronghorn habitat suitability modeling in Montana and Saskatchewan, including attributes used by experts in the Analytical Hierarchy Process to assess importance of the categories used within variables.</p>", "links"=>[], "tags"=>["included", "pronghorn", "suitability", "modeling", "montana", "attributes", "experts", "analytical", "hierarchy", "categories"], "article_id"=>211795, "categories"=>["Evolutionary Biology"], "users"=>["Erin E. Poor", "Colby Loucks", "Andrew Jakes", "Dean L. Urban"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049390.t001", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Variables_included_in_pronghorn_habitat_suitability_modeling_in_Montana_and_Saskatchewan_including_attributes_used_by_experts_in_the_Analytical_Hierarchy_Process_to_assess_importance_of_the_categories_used_within_variables_/211795", "title"=>"Variables included in pronghorn habitat suitability modeling in Montana and Saskatchewan, including attributes used by experts in the Analytical Hierarchy Process to assess importance of the categories used within variables.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-11-16 00:29:55"}
  • {"files"=>["https://ndownloader.figshare.com/files/541044"], "description"=>"<p>Percent of pronghorn locations and study area in Montana and Saskatchewan for the spring pronghorn connectivity models. Maxent resistance surface and least-cost modeling (LCM) (A), Analytic Hierarchy Process (AHP) resistance surface and LCM corridors (B), Maxent resistance surface and Circuitscape (C) and AHP resistance surface and the Circuitscape connectivity model (D).</p>", "links"=>[], "tags"=>["included"], "article_id"=>211542, "categories"=>["Evolutionary Biology"], "users"=>["Erin E. Poor", "Colby Loucks", "Andrew Jakes", "Dean L. Urban"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049390.g003", "stats"=>{"downloads"=>2, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Pronghorn_and_area_included_within_spring_corridors_/211542", "title"=>"Pronghorn and area included within spring corridors.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-11-16 00:25:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/540956"], "description"=>"<p>Least-cost modeling (solid line) and Circuitscape (shaded area) pronghorn migration corridors in Montana and Saskatchewan created from the 10% most traversable habitat on Maxent and Analytic Hierarchy Process resistance surfaces for fall (A) and (B), respectively, and spring (C) and (D) migration seasons.</p>", "links"=>[], "tags"=>["created"], "article_id"=>211453, "categories"=>["Evolutionary Biology"], "users"=>["Erin E. Poor", "Colby Loucks", "Andrew Jakes", "Dean L. Urban"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049390.g002", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Corridors_created_using_10_threshold_/211453", "title"=>"Corridors created using 10% threshold.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-11-16 00:24:13"}

PMC Usage Stats | Further Information

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Relative Metric

{"start_date"=>"2012-01-01T00:00:00Z", "end_date"=>"2012-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences", "average_usage"=>[322, 550, 671, 773, 864, 955, 1048, 1135, 1223, 1308, 1387, 1465, 1534, 1602, 1673, 1744, 1813, 1885, 1955, 2026, 2093, 2160, 2228, 2290, 2349]}, {"subject_area"=>"/Earth sciences", "average_usage"=>[368, 548, 649, 749, 833, 915, 993, 1071, 1153, 1240, 1315, 1388, 1456, 1520, 1597, 1673, 1747, 1826, 1892, 1975, 2036, 2101, 2178, 2256, 2319]}, {"subject_area"=>"/Earth sciences/Atmospheric science", "average_usage"=>[340, 544, 651, 735, 812, 877, 956, 1034, 1116, 1186, 1252, 1330, 1407, 1466, 1536, 1588, 1645, 1717, 1782, 1877, 1950, 2000, 2076, 2135, 2179]}, {"subject_area"=>"/Ecology and environmental sciences/Conservation science", "average_usage"=>[400, 592, 720, 814, 880, 958, 1059, 1148, 1241, 1314, 1399, 1501, 1589, 1663, 1725, 1766, 1824, 1903, 1991, 2062, 2113, 2184, 2226, 2298, 2364]}, {"subject_area"=>"/Engineering and technology", "average_usage"=>[308, 500, 607, 700, 782, 876, 957, 1039, 1128, 1214, 1290, 1365, 1431, 1496, 1560, 1634, 1695, 1772, 1839, 1908, 1972, 2043, 2106, 2179, 2246]}, {"subject_area"=>"/Engineering and technology/Transportation", "average_usage"=>[392, 602, 694, 793, 880, 993, 1145, 1215, 1308, 1375, 1423, 1555, 1642, 1726, 1784, 1875, 1953, 2027, 2109, 2199, 2279, 2354, 2423, 2507, 2574, 2651]}]}
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