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A patchy continuum? Stream processes show varied responses to patch‐ and continuum‐based analyses
Many conceptual syntheses in ecology and evolution are undergirded by either a patch‐ or continuum‐based model. Examples include gradualism and punctuated equilibrium in evolution, and edge effects and the theory of island biogeography in ecology. In this study, we sought to determine how patch‐ or...
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Published in: | Ecosphere (Washington, D.C) D.C), 2018-11, Vol.9 (11), p.n/a |
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description | Many conceptual syntheses in ecology and evolution are undergirded by either a patch‐ or continuum‐based model. Examples include gradualism and punctuated equilibrium in evolution, and edge effects and the theory of island biogeography in ecology. In this study, we sought to determine how patch‐ or continuum‐based analyses could explain variation in concentrations of stream macronutrients and system metabolism, represented by measures of productivity and respiration rates, at the watershed scale across the Kanawha River Basin, USA. Using Strahler stream order (SSO; continuum) and functional process zone (FPZ; patch) as factors, we produced statistical models for each variable and compared model performance using likelihood ratio tests. Only one nutrient (i.e., PO43−) responded better to patch‐based analysis. Both models were significantly better than a null model for ecosystem respiration; however, neither outperformed the other. Importantly, in most cases, a combination model, including both SSO and FPZ, best described observed variation in the system. Our findings suggest that several patch‐ and continuum‐based processes may simultaneously influence the concentration of macronutrients and system metabolism. Nutrient spiraling along a continuum and the patch mosaic of land cover may both alter macronutrients, for example. Similarly, increases in temperature and discharge associated with increasing SSO, as well as the differences in light availability and channel morphology associated with different FPZs, may influence system metabolism. For these reasons, we recommend a combination of patch‐ and continuum‐based analyses when modeling, analyzing, and interpreting patterns in stream ecosystem parameters. |
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Stream processes show varied responses to patch‐ and continuum‐based analyses</title><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><source>Wiley Online Library Open Access</source><creator>Collins, Sean E. ; Matter, Stephen F. ; Buffam, Ishi ; Flotemersch, Joseph E.</creator><creatorcontrib>Collins, Sean E. ; Matter, Stephen F. ; Buffam, Ishi ; Flotemersch, Joseph E.</creatorcontrib><description>Many conceptual syntheses in ecology and evolution are undergirded by either a patch‐ or continuum‐based model. Examples include gradualism and punctuated equilibrium in evolution, and edge effects and the theory of island biogeography in ecology. In this study, we sought to determine how patch‐ or continuum‐based analyses could explain variation in concentrations of stream macronutrients and system metabolism, represented by measures of productivity and respiration rates, at the watershed scale across the Kanawha River Basin, USA. Using Strahler stream order (SSO; continuum) and functional process zone (FPZ; patch) as factors, we produced statistical models for each variable and compared model performance using likelihood ratio tests. Only one nutrient (i.e., PO43−) responded better to patch‐based analysis. Both models were significantly better than a null model for ecosystem respiration; however, neither outperformed the other. Importantly, in most cases, a combination model, including both SSO and FPZ, best described observed variation in the system. Our findings suggest that several patch‐ and continuum‐based processes may simultaneously influence the concentration of macronutrients and system metabolism. Nutrient spiraling along a continuum and the patch mosaic of land cover may both alter macronutrients, for example. Similarly, increases in temperature and discharge associated with increasing SSO, as well as the differences in light availability and channel morphology associated with different FPZs, may influence system metabolism. For these reasons, we recommend a combination of patch‐ and continuum‐based analyses when modeling, analyzing, and interpreting patterns in stream ecosystem parameters.</description><identifier>ISSN: 2150-8925</identifier><identifier>EISSN: 2150-8925</identifier><identifier>DOI: 10.1002/ecs2.2481</identifier><identifier>PMID: 31297300</identifier><language>eng</language><publisher>United States: John Wiley & Sons, Inc</publisher><subject>Biogeography ; Channel morphology ; Creeks & streams ; Ecology ; ecosystem metabolism ; Ecosystems ; functional process zone ; Hypotheses ; Kanawha River ; Land use ; Macroevolution ; macronutrient concentration ; Metabolism ; nitrate ; Nutrient concentrations ; Nutrients ; phosphate ; Respiration ; River basins ; River Continuum Concept ; River ecology ; Riverine Ecosystem Synthesis ; Statistical models ; Stream order ; Trends ; watershed ; Watershed management ; Watersheds</subject><ispartof>Ecosphere (Washington, D.C), 2018-11, Vol.9 (11), p.n/a</ispartof><rights>2018 The Authors.</rights><rights>2018. 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Stream processes show varied responses to patch‐ and continuum‐based analyses</title><title>Ecosphere (Washington, D.C)</title><addtitle>Ecosphere</addtitle><description>Many conceptual syntheses in ecology and evolution are undergirded by either a patch‐ or continuum‐based model. Examples include gradualism and punctuated equilibrium in evolution, and edge effects and the theory of island biogeography in ecology. In this study, we sought to determine how patch‐ or continuum‐based analyses could explain variation in concentrations of stream macronutrients and system metabolism, represented by measures of productivity and respiration rates, at the watershed scale across the Kanawha River Basin, USA. Using Strahler stream order (SSO; continuum) and functional process zone (FPZ; patch) as factors, we produced statistical models for each variable and compared model performance using likelihood ratio tests. Only one nutrient (i.e., PO43−) responded better to patch‐based analysis. Both models were significantly better than a null model for ecosystem respiration; however, neither outperformed the other. Importantly, in most cases, a combination model, including both SSO and FPZ, best described observed variation in the system. Our findings suggest that several patch‐ and continuum‐based processes may simultaneously influence the concentration of macronutrients and system metabolism. Nutrient spiraling along a continuum and the patch mosaic of land cover may both alter macronutrients, for example. Similarly, increases in temperature and discharge associated with increasing SSO, as well as the differences in light availability and channel morphology associated with different FPZs, may influence system metabolism. For these reasons, we recommend a combination of patch‐ and continuum‐based analyses when modeling, analyzing, and interpreting patterns in stream ecosystem parameters.</description><subject>Biogeography</subject><subject>Channel morphology</subject><subject>Creeks & streams</subject><subject>Ecology</subject><subject>ecosystem metabolism</subject><subject>Ecosystems</subject><subject>functional process zone</subject><subject>Hypotheses</subject><subject>Kanawha River</subject><subject>Land use</subject><subject>Macroevolution</subject><subject>macronutrient concentration</subject><subject>Metabolism</subject><subject>nitrate</subject><subject>Nutrient concentrations</subject><subject>Nutrients</subject><subject>phosphate</subject><subject>Respiration</subject><subject>River basins</subject><subject>River Continuum Concept</subject><subject>River ecology</subject><subject>Riverine Ecosystem Synthesis</subject><subject>Statistical models</subject><subject>Stream order</subject><subject>Trends</subject><subject>watershed</subject><subject>Watershed management</subject><subject>Watersheds</subject><issn>2150-8925</issn><issn>2150-8925</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>PIMPY</sourceid><recordid>eNp1kctKxDAUhoMoKurCF5CCG12Mk1vTdqMMw3gBwcXoOpxJU6fSNjVpHbrzEXxGn8TU0XEUzCaHky8fJ_kROiT4jGBMh1o5ekZ5TDbQLiUhHsQJDTfX6h104NwT9ivkUczZNtphhCYRw3gX6VFQQ6PmXaBM1eRV25YXwbSxGsqgtkZp57QL3NwsghewuU4Dq11tqr7bmOXd99e3AKr0x-AbM3CehQqKzqP7aCuDwumDr30PPVxO7sfXg9u7q5vx6HagOGdkEHECGGcKM5KEJE5TjklKhUjojKgQK5XwJGVYZyxOFIBQvhY8hZiDCBMcsT10vvTW7azUqdJVY6GQtc1LsJ00kMvfJ1U-l4_mRQrhvytkXnDyJbDmudWukWXulC4KqLRpnaQ0jCLCBBEePf6DPpnW-gf3lIgZJiTqqdMlpaxxzupsNQzBss9P9vnJPj_PHq1PvyK_0_LAcAks8kJ3_5vkZDyln8oPm5Om1Q</recordid><startdate>201811</startdate><enddate>201811</enddate><creator>Collins, Sean E.</creator><creator>Matter, Stephen F.</creator><creator>Buffam, Ishi</creator><creator>Flotemersch, Joseph E.</creator><general>John Wiley & Sons, Inc</general><scope>24P</scope><scope>WIN</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201811</creationdate><title>A patchy continuum? Stream processes show varied responses to patch‐ and continuum‐based analyses</title><author>Collins, Sean E. ; Matter, Stephen F. ; Buffam, Ishi ; Flotemersch, Joseph E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4431-741a00fc0319518dd401d26692b1c50cc949d30ef389caa6c30e64da84a659073</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Biogeography</topic><topic>Channel morphology</topic><topic>Creeks & streams</topic><topic>Ecology</topic><topic>ecosystem metabolism</topic><topic>Ecosystems</topic><topic>functional process zone</topic><topic>Hypotheses</topic><topic>Kanawha River</topic><topic>Land use</topic><topic>Macroevolution</topic><topic>macronutrient concentration</topic><topic>Metabolism</topic><topic>nitrate</topic><topic>Nutrient concentrations</topic><topic>Nutrients</topic><topic>phosphate</topic><topic>Respiration</topic><topic>River basins</topic><topic>River Continuum Concept</topic><topic>River ecology</topic><topic>Riverine Ecosystem Synthesis</topic><topic>Statistical models</topic><topic>Stream order</topic><topic>Trends</topic><topic>watershed</topic><topic>Watershed management</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Collins, Sean E.</creatorcontrib><creatorcontrib>Matter, Stephen F.</creatorcontrib><creatorcontrib>Buffam, Ishi</creatorcontrib><creatorcontrib>Flotemersch, Joseph E.</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley-Blackwell Free Backfiles(OpenAccess)</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Ecosphere (Washington, D.C)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Collins, Sean E.</au><au>Matter, Stephen F.</au><au>Buffam, Ishi</au><au>Flotemersch, Joseph E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A patchy continuum? Stream processes show varied responses to patch‐ and continuum‐based analyses</atitle><jtitle>Ecosphere (Washington, D.C)</jtitle><addtitle>Ecosphere</addtitle><date>2018-11</date><risdate>2018</risdate><volume>9</volume><issue>11</issue><epage>n/a</epage><issn>2150-8925</issn><eissn>2150-8925</eissn><abstract>Many conceptual syntheses in ecology and evolution are undergirded by either a patch‐ or continuum‐based model. Examples include gradualism and punctuated equilibrium in evolution, and edge effects and the theory of island biogeography in ecology. In this study, we sought to determine how patch‐ or continuum‐based analyses could explain variation in concentrations of stream macronutrients and system metabolism, represented by measures of productivity and respiration rates, at the watershed scale across the Kanawha River Basin, USA. Using Strahler stream order (SSO; continuum) and functional process zone (FPZ; patch) as factors, we produced statistical models for each variable and compared model performance using likelihood ratio tests. Only one nutrient (i.e., PO43−) responded better to patch‐based analysis. Both models were significantly better than a null model for ecosystem respiration; however, neither outperformed the other. Importantly, in most cases, a combination model, including both SSO and FPZ, best described observed variation in the system. Our findings suggest that several patch‐ and continuum‐based processes may simultaneously influence the concentration of macronutrients and system metabolism. Nutrient spiraling along a continuum and the patch mosaic of land cover may both alter macronutrients, for example. Similarly, increases in temperature and discharge associated with increasing SSO, as well as the differences in light availability and channel morphology associated with different FPZs, may influence system metabolism. For these reasons, we recommend a combination of patch‐ and continuum‐based analyses when modeling, analyzing, and interpreting patterns in stream ecosystem parameters.</abstract><cop>United States</cop><pub>John Wiley & Sons, Inc</pub><pmid>31297300</pmid><doi>10.1002/ecs2.2481</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Biogeography Channel morphology Creeks & streams Ecology ecosystem metabolism Ecosystems functional process zone Hypotheses Kanawha River Land use Macroevolution macronutrient concentration Metabolism nitrate Nutrient concentrations Nutrients phosphate Respiration River basins River Continuum Concept River ecology Riverine Ecosystem Synthesis Statistical models Stream order Trends watershed Watershed management Watersheds |
title | A patchy continuum? Stream processes show varied responses to patch‐ and continuum‐based analyses |
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