An experimental test of CSR theory using a globally calibrated ordination method
Can CSR theory, in conjunction with a recently proposed globally calibrated CSR ordination ("StrateFy"), using only three easily measured leaf traits (leaf area, specific leaf area and leaf dry matter content) predict the functional signature of herbaceous vegetation along experimentally m...
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description | Can CSR theory, in conjunction with a recently proposed globally calibrated CSR ordination ("StrateFy"), using only three easily measured leaf traits (leaf area, specific leaf area and leaf dry matter content) predict the functional signature of herbaceous vegetation along experimentally manipulated gradients of soil fertility and disturbance? To determine this, we grew 37 herbaceous species in mixture for five years in 24 experimental mesocosms differing in factorial levels of soil resources (stress) and density-independent mortality (disturbance). We measured 16 different functional traits and then ordinated the resulting vegetation within the CSR triangle using StrateFy. We then calculated community-weighted mean (CWM) values of the competitor (CCWM), stress-tolerator (SCWM) and ruderal (RCWM) scores for each mesocosm. We found a significant increase in SCWM from low to high stress mesocosms, and an increase in RCWM from lowly to highly disturbed mesocosms. However, CCWM did not decline significantly as intensity of stress or disturbance increased, as predicted by CSR theory. This last result likely arose because our herbaceous species were relatively poor competitors in global comparisons and thus no strong competitors in our species pool were selectively favoured in low stress and low disturbed mesocosms. Variation in the 13 other traits, not used by StrateFy, largely argeed with the predictions of CSR theory. StrateFy worked surprisingly well in our experimental study except for the C-dimension. Despite loss of some precision, it has great potential applicability in future studies due to its simplicity and generality. |
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To determine this, we grew 37 herbaceous species in mixture for five years in 24 experimental mesocosms differing in factorial levels of soil resources (stress) and density-independent mortality (disturbance). We measured 16 different functional traits and then ordinated the resulting vegetation within the CSR triangle using StrateFy. We then calculated community-weighted mean (CWM) values of the competitor (CCWM), stress-tolerator (SCWM) and ruderal (RCWM) scores for each mesocosm. We found a significant increase in SCWM from low to high stress mesocosms, and an increase in RCWM from lowly to highly disturbed mesocosms. However, CCWM did not decline significantly as intensity of stress or disturbance increased, as predicted by CSR theory. This last result likely arose because our herbaceous species were relatively poor competitors in global comparisons and thus no strong competitors in our species pool were selectively favoured in low stress and low disturbed mesocosms. Variation in the 13 other traits, not used by StrateFy, largely argeed with the predictions of CSR theory. StrateFy worked surprisingly well in our experimental study except for the C-dimension. Despite loss of some precision, it has great potential applicability in future studies due to its simplicity and generality.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0175404</identifier><identifier>PMID: 28388622</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Abundance ; Analysis ; Antibodies ; Biology and Life Sciences ; Biomass ; Botany ; Calibration ; Canopies ; Classification ; Closed experimental ecosystems ; Community ecology ; Community structure ; Competition ; Computer programs ; Corporate social responsibility ; Death ; Disturbance ; Dominance ; Dry matter ; Ecology ; Ecology and Environmental Sciences ; Economics ; Ecosystems ; Erosion ; Fitness ; Grasslands ; Growth rate ; Health aspects ; Herbivores ; Herbs ; Leaf area ; Leaves ; Litter ; Mathematical models ; Methods ; Models, Theoretical ; Moisture gradient ; Ordination ; Pathogens ; Physical Sciences ; Plant biomass ; Plant communities ; Plant ecology ; Plant growth ; Plant Leaves ; Plant Physiological Phenomena ; Plant populations ; Plants ; Primary production ; Research and Analysis Methods ; Soil ; Soil erosion ; Soil fertility ; Statistics ; Succession ; Theory ; Vegetation</subject><ispartof>PloS one, 2017-04, Vol.12 (4), p.e0175404-e0175404</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Li, Shipley. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2017 Li, Shipley 2017 Li, Shipley</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-d123ec32e88bcd4b322b683de9867b9eaab2ac9e8bbf3598122f9594723c4ca53</citedby><cites>FETCH-LOGICAL-c692t-d123ec32e88bcd4b322b683de9867b9eaab2ac9e8bbf3598122f9594723c4ca53</cites><orcidid>0000-0002-7026-3880</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384788/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384788/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,725,778,782,862,883,2098,2917,23853,27911,27912,53778,53780,79355,79356</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28388622$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Zang, RunGuo</contributor><creatorcontrib>Li, Yuanzhi</creatorcontrib><creatorcontrib>Shipley, Bill</creatorcontrib><title>An experimental test of CSR theory using a globally calibrated ordination method</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Can CSR theory, in conjunction with a recently proposed globally calibrated CSR ordination ("StrateFy"), using only three easily measured leaf traits (leaf area, specific leaf area and leaf dry matter content) predict the functional signature of herbaceous vegetation along experimentally manipulated gradients of soil fertility and disturbance? To determine this, we grew 37 herbaceous species in mixture for five years in 24 experimental mesocosms differing in factorial levels of soil resources (stress) and density-independent mortality (disturbance). We measured 16 different functional traits and then ordinated the resulting vegetation within the CSR triangle using StrateFy. We then calculated community-weighted mean (CWM) values of the competitor (CCWM), stress-tolerator (SCWM) and ruderal (RCWM) scores for each mesocosm. We found a significant increase in SCWM from low to high stress mesocosms, and an increase in RCWM from lowly to highly disturbed mesocosms. However, CCWM did not decline significantly as intensity of stress or disturbance increased, as predicted by CSR theory. This last result likely arose because our herbaceous species were relatively poor competitors in global comparisons and thus no strong competitors in our species pool were selectively favoured in low stress and low disturbed mesocosms. Variation in the 13 other traits, not used by StrateFy, largely argeed with the predictions of CSR theory. StrateFy worked surprisingly well in our experimental study except for the C-dimension. Despite loss of some precision, it has great potential applicability in future studies due to its simplicity and generality.</description><subject>Abundance</subject><subject>Analysis</subject><subject>Antibodies</subject><subject>Biology and Life Sciences</subject><subject>Biomass</subject><subject>Botany</subject><subject>Calibration</subject><subject>Canopies</subject><subject>Classification</subject><subject>Closed experimental ecosystems</subject><subject>Community ecology</subject><subject>Community structure</subject><subject>Competition</subject><subject>Computer programs</subject><subject>Corporate social responsibility</subject><subject>Death</subject><subject>Disturbance</subject><subject>Dominance</subject><subject>Dry matter</subject><subject>Ecology</subject><subject>Ecology and Environmental Sciences</subject><subject>Economics</subject><subject>Ecosystems</subject><subject>Erosion</subject><subject>Fitness</subject><subject>Grasslands</subject><subject>Growth rate</subject><subject>Health aspects</subject><subject>Herbivores</subject><subject>Herbs</subject><subject>Leaf area</subject><subject>Leaves</subject><subject>Litter</subject><subject>Mathematical models</subject><subject>Methods</subject><subject>Models, Theoretical</subject><subject>Moisture gradient</subject><subject>Ordination</subject><subject>Pathogens</subject><subject>Physical Sciences</subject><subject>Plant biomass</subject><subject>Plant communities</subject><subject>Plant ecology</subject><subject>Plant growth</subject><subject>Plant Leaves</subject><subject>Plant Physiological Phenomena</subject><subject>Plant populations</subject><subject>Plants</subject><subject>Primary production</subject><subject>Research and Analysis Methods</subject><subject>Soil</subject><subject>Soil erosion</subject><subject>Soil fertility</subject><subject>Statistics</subject><subject>Succession</subject><subject>Theory</subject><subject>Vegetation</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNkl-L1DAUxYso7rr6DUQLgujDjGmStsmLMAz-GVhY2VVfQ5LedjJkmjFJZefbm3G6y1T2QfqQkvzuubknJ8teFmhekLr4sHGD76Wd71wPc1TUJUX0UXZecIJnFUbk8cn_WfYshA1CJWFV9TQ7w4wwVmF8nn1b9Dnc7sCbLfRR2jxCiLlr8-XNdR7X4Pw-H4Lpu1zmnXVKWrvPtbRGeRmhyZ1vTC-jcX2-hbh2zfPsSSttgBfjepH9-Pzp-_Lr7PLqy2q5uJzpiuM4awpMQBMMjCndUEUwVhUjDXBW1YqDlApLzYEp1ZKSswLjlpec1phoqmVJLrLXR92ddUGMZgRRMFZizBiqE7E6Eo2TG7FLE0q_F04a8XfD-U5IH422IJrUn5aUgCoUbWXLgSCmC8UZVpi1KGl9HLsNaguNTl55aSei05PerEXnfovkOK0ZSwLvRgHvfg3JY7E1QYO1sgc3HO_N0xUQTuibf9CHpxupTqYBTN-61FcfRMWCsoTgkh5cmj9Apa-BrdEpOa1J-5OC95OCxES4jZ0cQhCrm-v_Z69-Ttm3J-wapI3r4OxwSE6YgvQIau9C8NDem1wgcQj-nRviEHwxBj-VvTp9oPuiu6STP3Zw_ZM</recordid><startdate>20170407</startdate><enddate>20170407</enddate><creator>Li, 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experimental test of CSR theory using a globally calibrated ordination method</title><author>Li, Yuanzhi ; Shipley, Bill</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-d123ec32e88bcd4b322b683de9867b9eaab2ac9e8bbf3598122f9594723c4ca53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Abundance</topic><topic>Analysis</topic><topic>Antibodies</topic><topic>Biology and Life Sciences</topic><topic>Biomass</topic><topic>Botany</topic><topic>Calibration</topic><topic>Canopies</topic><topic>Classification</topic><topic>Closed experimental ecosystems</topic><topic>Community ecology</topic><topic>Community structure</topic><topic>Competition</topic><topic>Computer programs</topic><topic>Corporate social responsibility</topic><topic>Death</topic><topic>Disturbance</topic><topic>Dominance</topic><topic>Dry matter</topic><topic>Ecology</topic><topic>Ecology and Environmental Sciences</topic><topic>Economics</topic><topic>Ecosystems</topic><topic>Erosion</topic><topic>Fitness</topic><topic>Grasslands</topic><topic>Growth rate</topic><topic>Health aspects</topic><topic>Herbivores</topic><topic>Herbs</topic><topic>Leaf area</topic><topic>Leaves</topic><topic>Litter</topic><topic>Mathematical models</topic><topic>Methods</topic><topic>Models, Theoretical</topic><topic>Moisture gradient</topic><topic>Ordination</topic><topic>Pathogens</topic><topic>Physical Sciences</topic><topic>Plant biomass</topic><topic>Plant communities</topic><topic>Plant ecology</topic><topic>Plant growth</topic><topic>Plant Leaves</topic><topic>Plant Physiological Phenomena</topic><topic>Plant populations</topic><topic>Plants</topic><topic>Primary production</topic><topic>Research and Analysis Methods</topic><topic>Soil</topic><topic>Soil erosion</topic><topic>Soil fertility</topic><topic>Statistics</topic><topic>Succession</topic><topic>Theory</topic><topic>Vegetation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Yuanzhi</creatorcontrib><creatorcontrib>Shipley, Bill</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full 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one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Yuanzhi</au><au>Shipley, Bill</au><au>Zang, RunGuo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An experimental test of CSR theory using a globally calibrated ordination method</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-04-07</date><risdate>2017</risdate><volume>12</volume><issue>4</issue><spage>e0175404</spage><epage>e0175404</epage><pages>e0175404-e0175404</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Can CSR theory, in conjunction with a recently proposed globally calibrated CSR ordination ("StrateFy"), using only three easily measured leaf traits (leaf area, specific leaf area and leaf dry matter content) predict the functional signature of herbaceous vegetation along experimentally manipulated gradients of soil fertility and disturbance? To determine this, we grew 37 herbaceous species in mixture for five years in 24 experimental mesocosms differing in factorial levels of soil resources (stress) and density-independent mortality (disturbance). We measured 16 different functional traits and then ordinated the resulting vegetation within the CSR triangle using StrateFy. We then calculated community-weighted mean (CWM) values of the competitor (CCWM), stress-tolerator (SCWM) and ruderal (RCWM) scores for each mesocosm. We found a significant increase in SCWM from low to high stress mesocosms, and an increase in RCWM from lowly to highly disturbed mesocosms. However, CCWM did not decline significantly as intensity of stress or disturbance increased, as predicted by CSR theory. This last result likely arose because our herbaceous species were relatively poor competitors in global comparisons and thus no strong competitors in our species pool were selectively favoured in low stress and low disturbed mesocosms. Variation in the 13 other traits, not used by StrateFy, largely argeed with the predictions of CSR theory. StrateFy worked surprisingly well in our experimental study except for the C-dimension. Despite loss of some precision, it has great potential applicability in future studies due to its simplicity and generality.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28388622</pmid><doi>10.1371/journal.pone.0175404</doi><tpages>e0175404</tpages><orcidid>https://orcid.org/0000-0002-7026-3880</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Abundance Analysis Antibodies Biology and Life Sciences Biomass Botany Calibration Canopies Classification Closed experimental ecosystems Community ecology Community structure Competition Computer programs Corporate social responsibility Death Disturbance Dominance Dry matter Ecology Ecology and Environmental Sciences Economics Ecosystems Erosion Fitness Grasslands Growth rate Health aspects Herbivores Herbs Leaf area Leaves Litter Mathematical models Methods Models, Theoretical Moisture gradient Ordination Pathogens Physical Sciences Plant biomass Plant communities Plant ecology Plant growth Plant Leaves Plant Physiological Phenomena Plant populations Plants Primary production Research and Analysis Methods Soil Soil erosion Soil fertility Statistics Succession Theory Vegetation |
title | An experimental test of CSR theory using a globally calibrated ordination method |
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