dbRDA plot, distance measure = Euclidean.
<p>Water bodies are plotted according to the Layman metrics calculated for the stable isotope results of the communities. Environmental parameters with significant correlations are plotted in blue. The length of the arrows shows how much the variable correlates with the water bodies.</p>
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2025
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| _version_ | 1849927643667890176 |
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| author | Fee Nanett Trau (16734722) |
| author2 | Kathrin Fisch (16734725) Stefan Lorenz (4509382) |
| author2_role | author author |
| author_facet | Fee Nanett Trau (16734722) Kathrin Fisch (16734725) Stefan Lorenz (4509382) |
| author_role | author |
| dc.creator.none.fl_str_mv | Fee Nanett Trau (16734722) Kathrin Fisch (16734725) Stefan Lorenz (4509382) |
| dc.date.none.fl_str_mv | 2025-11-24T18:23:41Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0336486.g007 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/dbRDA_plot_distance_measure_Euclidean_/30696537 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Ecology Environmental Sciences not elsewhere classified Astronomical and Space Sciences not elsewhere classified Biological Sciences not elsewhere classified several different taxa overall taxa number larger total area ecosystem functions resulting clear pattern emerged based redundancy analysis associated ecosystem functions abiotic parameters led showed greater spacing rather homogeneous landscape functional feeding groups stable isotope composition div >< p benthic invertebrate communities land use worldwide assessing agricultural effects natural habitats embedded benthic invertebrates due agricultural landscape benthic invertebrates study showed land conversion isotopic composition isotope space functional approaches agricultural practices water samples water bodies valuable habitats strong fluctuations severe impacts pronounced patterns production areas predator </ nutrient residues negative impacts might fail maximum correlation evenness index environmental variables dominant types derived using derived metrics complex ways community metrics better describe bayesian approach |
| dc.title.none.fl_str_mv | dbRDA plot, distance measure = Euclidean. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>Water bodies are plotted according to the Layman metrics calculated for the stable isotope results of the communities. Environmental parameters with significant correlations are plotted in blue. The length of the arrows shows how much the variable correlates with the water bodies.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_7a6f6d9e384901961de5ee3ebd08c79b |
| identifier_str_mv | 10.1371/journal.pone.0336486.g007 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30696537 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | dbRDA plot, distance measure = Euclidean.Fee Nanett Trau (16734722)Kathrin Fisch (16734725)Stefan Lorenz (4509382)EcologyEnvironmental Sciences not elsewhere classifiedAstronomical and Space Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedseveral different taxaoverall taxa numberlarger total areaecosystem functions resultingclear pattern emergedbased redundancy analysisassociated ecosystem functionsabiotic parameters ledshowed greater spacingrather homogeneous landscapefunctional feeding groupsstable isotope compositiondiv >< pbenthic invertebrate communitiesland use worldwideassessing agricultural effectsnatural habitats embeddedbenthic invertebrates dueagricultural landscapebenthic invertebratesstudy showedland conversionisotopic compositionisotope spacefunctional approachesagricultural practiceswater sampleswater bodiesvaluable habitatsstrong fluctuationssevere impactspronounced patternsproduction areaspredator </nutrient residuesnegative impactsmight failmaximum correlationevenness indexenvironmental variablesdominant typesderived usingderived metricscomplex wayscommunity metricsbetter describebayesian approach<p>Water bodies are plotted according to the Layman metrics calculated for the stable isotope results of the communities. Environmental parameters with significant correlations are plotted in blue. The length of the arrows shows how much the variable correlates with the water bodies.</p>2025-11-24T18:23:41ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0336486.g007https://figshare.com/articles/figure/dbRDA_plot_distance_measure_Euclidean_/30696537CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/306965372025-11-24T18:23:41Z |
| spellingShingle | dbRDA plot, distance measure = Euclidean. Fee Nanett Trau (16734722) Ecology Environmental Sciences not elsewhere classified Astronomical and Space Sciences not elsewhere classified Biological Sciences not elsewhere classified several different taxa overall taxa number larger total area ecosystem functions resulting clear pattern emerged based redundancy analysis associated ecosystem functions abiotic parameters led showed greater spacing rather homogeneous landscape functional feeding groups stable isotope composition div >< p benthic invertebrate communities land use worldwide assessing agricultural effects natural habitats embedded benthic invertebrates due agricultural landscape benthic invertebrates study showed land conversion isotopic composition isotope space functional approaches agricultural practices water samples water bodies valuable habitats strong fluctuations severe impacts pronounced patterns production areas predator </ nutrient residues negative impacts might fail maximum correlation evenness index environmental variables dominant types derived using derived metrics complex ways community metrics better describe bayesian approach |
| status_str | publishedVersion |
| title | dbRDA plot, distance measure = Euclidean. |
| title_full | dbRDA plot, distance measure = Euclidean. |
| title_fullStr | dbRDA plot, distance measure = Euclidean. |
| title_full_unstemmed | dbRDA plot, distance measure = Euclidean. |
| title_short | dbRDA plot, distance measure = Euclidean. |
| title_sort | dbRDA plot, distance measure = Euclidean. |
| topic | Ecology Environmental Sciences not elsewhere classified Astronomical and Space Sciences not elsewhere classified Biological Sciences not elsewhere classified several different taxa overall taxa number larger total area ecosystem functions resulting clear pattern emerged based redundancy analysis associated ecosystem functions abiotic parameters led showed greater spacing rather homogeneous landscape functional feeding groups stable isotope composition div >< p benthic invertebrate communities land use worldwide assessing agricultural effects natural habitats embedded benthic invertebrates due agricultural landscape benthic invertebrates study showed land conversion isotopic composition isotope space functional approaches agricultural practices water samples water bodies valuable habitats strong fluctuations severe impacts pronounced patterns production areas predator </ nutrient residues negative impacts might fail maximum correlation evenness index environmental variables dominant types derived using derived metrics complex ways community metrics better describe bayesian approach |