The relationship between species replacement, dissimilarity derived from nestedness, and nestedness
Aim: Beta diversity can be partitioned into two components: dissimilarity due to species replacement and dissimilarity due to nestedness (Baselga, 2010, Global Ecology and Biogeography, 19, 134—143). Several contributions have challenged this approach or proposed alternative frameworks. Here, I revi...
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| Published in | Global ecology and biogeography Vol. 21; no. 12; pp. 1223 - 1232 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Oxford, UK
Blackwell Publishing Ltd
01.12.2012
Blackwell Publishing Blackwell Wiley Subscription Services, Inc |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Aim: Beta diversity can be partitioned into two components: dissimilarity due to species replacement and dissimilarity due to nestedness (Baselga, 2010, Global Ecology and Biogeography, 19, 134—143). Several contributions have challenged this approach or proposed alternative frameworks. Here, I review the concepts and methods used in these recent contributions, with the aim of clarifying: (1) the rationale behind the partitioning of beta diversity into species replacement and nestedness-resultant dissimilarity, (2) how, based on this rationale, numerators and denominators of indices have to match, and (3) how nestedness and nestedness-resultant dissimilarity are related but different concepts. Innovation: The rationale behind measures of species replacement (turnover) dictates that the number of species that are replaced between sites (numerator of the index) has to be relativized with respect to the total number of species that could potentially be replaced (denominator). However, a recently proposed partition of Jaccard dissimilarity fails to do this. In consequence, this partition underestimates the contribution of species replacement and overestimates the contribution of richness differences to total dissimilarity. I show how Jaccard dissimilarity can be partitioned into meaningful turnover and nestedness components, and extend these new indices to multiple-site situations. Finally the concepts of nestedness and nestedness-resultant dissimilarity are discussed. Main conclusions: Nestedness should be assessed using consistent measures that depend both on paired overlap and matrix filling, e.g. NODF, whereas beta-diversity patterns should be examined using measures that allow the total dissimilarity to be separated into the components of dissimilarity due to species replacement and dissimilarity due to nestedness. In the case of multiple-site dissimilarity patterns, averaged pairwise indices should never be used because the mean of the pairwise values is unable to accurately reflect the multiple-site attributes of dissimilarity. |
|---|---|
| AbstractList | Aim
Beta diversity can be partitioned into two components: dissimilarity due to species replacement and dissimilarity due to nestedness (
Baselga, 2010
,
Global Ecology and Biogeography
,
19
, 134–143). Several contributions have challenged this approach or proposed alternative frameworks. Here, I review the concepts and methods used in these recent contributions, with the aim of clarifying: (1) the rationale behind the partitioning of beta diversity into species replacement and nestedness‐resultant dissimilarity, (2) how, based on this rationale, numerators and denominators of indices have to match, and (3) how nestedness and nestedness‐resultant dissimilarity are related but different concepts.
Innovation
The rationale behind measures of species replacement (turnover) dictates that the number of species that are replaced between sites (numerator of the index) has to be relativized with respect to the total number of species that could potentially be replaced (denominator). However, a recently proposed partition of Jaccard dissimilarity fails to do this. In consequence, this partition underestimates the contribution of species replacement and overestimates the contribution of richness differences to total dissimilarity. I show how Jaccard dissimilarity can be partitioned into meaningful turnover and nestedness components, and extend these new indices to multiple‐site situations. Finally the concepts of nestedness and nestedness‐resultant dissimilarity are discussed.
Main conclusions
Nestedness should be assessed using consistent measures that depend both on paired overlap and matrix filling, e.g. NODF, whereas beta‐diversity patterns should be examined using measures that allow the total dissimilarity to be separated into the components of dissimilarity due to species replacement and dissimilarity due to nestedness. In the case of multiple‐site dissimilarity patterns, averaged pairwise indices should never be used because the mean of the pairwise values is unable to accurately reflect the multiple‐site attributes of dissimilarity. Aim: Beta diversity can be partitioned into two components: dissimilarity due to species replacement and dissimilarity due to nestedness (Baselga, 2010, Global Ecology and Biogeography, 19, 134—143). Several contributions have challenged this approach or proposed alternative frameworks. Here, I review the concepts and methods used in these recent contributions, with the aim of clarifying: (1) the rationale behind the partitioning of beta diversity into species replacement and nestedness-resultant dissimilarity, (2) how, based on this rationale, numerators and denominators of indices have to match, and (3) how nestedness and nestedness-resultant dissimilarity are related but different concepts. Innovation: The rationale behind measures of species replacement (turnover) dictates that the number of species that are replaced between sites (numerator of the index) has to be relativized with respect to the total number of species that could potentially be replaced (denominator). However, a recently proposed partition of Jaccard dissimilarity fails to do this. In consequence, this partition underestimates the contribution of species replacement and overestimates the contribution of richness differences to total dissimilarity. I show how Jaccard dissimilarity can be partitioned into meaningful turnover and nestedness components, and extend these new indices to multiple-site situations. Finally the concepts of nestedness and nestedness-resultant dissimilarity are discussed. Main conclusions: Nestedness should be assessed using consistent measures that depend both on paired overlap and matrix filling, e.g. NODF, whereas beta-diversity patterns should be examined using measures that allow the total dissimilarity to be separated into the components of dissimilarity due to species replacement and dissimilarity due to nestedness. In the case of multiple-site dissimilarity patterns, averaged pairwise indices should never be used because the mean of the pairwise values is unable to accurately reflect the multiple-site attributes of dissimilarity. Aim Beta diversity can be partitioned into two components: dissimilarity due to species replacement and dissimilarity due to nestedness (Baselga, 2010, Global Ecology and Biogeography, 19, 134-143). Several contributions have challenged this approach or proposed alternative frameworks. Here, I review the concepts and methods used in these recent contributions, with the aim of clarifying: (1) the rationale behind the partitioning of beta diversity into species replacement and nestedness-resultant dissimilarity, (2) how, based on this rationale, numerators and denominators of indices have to match, and (3) how nestedness and nestedness-resultant dissimilarity are related but different concepts. Innovation The rationale behind measures of species replacement (turnover) dictates that the number of species that are replaced between sites (numerator of the index) has to be relativized with respect to the total number of species that could potentially be replaced (denominator). However, a recently proposed partition of Jaccard dissimilarity fails to do this. In consequence, this partition underestimates the contribution of species replacement and overestimates the contribution of richness differences to total dissimilarity. I show how Jaccard dissimilarity can be partitioned into meaningful turnover and nestedness components, and extend these new indices to multiple-site situations. Finally the concepts of nestedness and nestedness-resultant dissimilarity are discussed. Main conclusions Nestedness should be assessed using consistent measures that depend both on paired overlap and matrix filling, e.g. NODF, whereas beta-diversity patterns should be examined using measures that allow the total dissimilarity to be separated into the components of dissimilarity due to species replacement and dissimilarity due to nestedness. In the case of multiple-site dissimilarity patterns, averaged pairwise indices should never be used because the mean of the pairwise values is unable to accurately reflect the multiple-site attributes of dissimilarity. [PUBLICATION ABSTRACT] ABSTRACT Aim Beta diversity can be partitioned into two components: dissimilarity due to species replacement and dissimilarity due to nestedness (Baselga, 2010, Global Ecology and Biogeography, 19, 134–143). Several contributions have challenged this approach or proposed alternative frameworks. Here, I review the concepts and methods used in these recent contributions, with the aim of clarifying: (1) the rationale behind the partitioning of beta diversity into species replacement and nestedness‐resultant dissimilarity, (2) how, based on this rationale, numerators and denominators of indices have to match, and (3) how nestedness and nestedness‐resultant dissimilarity are related but different concepts. Innovation The rationale behind measures of species replacement (turnover) dictates that the number of species that are replaced between sites (numerator of the index) has to be relativized with respect to the total number of species that could potentially be replaced (denominator). However, a recently proposed partition of Jaccard dissimilarity fails to do this. In consequence, this partition underestimates the contribution of species replacement and overestimates the contribution of richness differences to total dissimilarity. I show how Jaccard dissimilarity can be partitioned into meaningful turnover and nestedness components, and extend these new indices to multiple‐site situations. Finally the concepts of nestedness and nestedness‐resultant dissimilarity are discussed. Main conclusions Nestedness should be assessed using consistent measures that depend both on paired overlap and matrix filling, e.g. NODF, whereas beta‐diversity patterns should be examined using measures that allow the total dissimilarity to be separated into the components of dissimilarity due to species replacement and dissimilarity due to nestedness. In the case of multiple‐site dissimilarity patterns, averaged pairwise indices should never be used because the mean of the pairwise values is unable to accurately reflect the multiple‐site attributes of dissimilarity. |
| Author | Baselga, Andrés |
| Author_xml | – sequence: 1 givenname: Andrés surname: Baselga fullname: Baselga, Andrés |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=26615899$$DView record in Pascal Francis |
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| References | Podani, J. & Schmera, D. (2011) A new conceptual and methodological framework for exploring and explaining pattern in presence-absence data. Oikos, 120, 1625-1638. Gaston, K.J. & Blackburn, T.M. (2000) Pattern and process in macroecology. Blackwell Science, Oxford. Svenning, J.C., Fløjgaard, C. & Baselga, A. (2011) Climate, history and neutrality as drivers of mammal beta diversity in Europe: insights from multiscale deconstruction. Journal of Animal Ecology, 80, 393-402. Lennon, J.J., Koleff, P., Greenwood, J.J.D. & Gaston, K.J. (2001) The geographical structure of British bird distributions: diversity, spatial turnover and scale. Journal of Animal Ecology, 70, 966-979. Soininen, J., McDonald, R. & Hillebrand, H. (2007) The distance decay of similarity in ecological communities. Ecography, 30, 3-12. Sørensen, T.A. (1948) A method of establishing groups of equal amplitude in plant sociology based on similarity of species content, and its application to analyses of the vegetation on Danish commons. Kongelige Danske Videnskabernes Selskabs Biologiske Skrifter, 5, 1-34. Baselga, A., Jiménez-Valverde, A. & Niccolini, G. (2007) A multiple-site similarity measure independent of richness. Biology Letters, 3, 642-645. Koleff, P., Gaston, K.J. & Lennon, J.K. (2003) Measuring beta diversity for presence-absence data. Journal of Animal Ecology, 72, 367-382. Jaccard, P. (1912) The distribution of the flora in the alpine zone. New Phytologist, 11, 37-50. Almeida-Neto, M., Guimarães, P., Guimarães, P.R., Loyola, R.D. & Ulrich, W. (2008) A consistent metric for nestedness analysis in ecological systems: reconciling concept and measurement. Oikos, 117, 1227-1239. Leprieur, F., Tedesco, P.A., Hugueny, B., Beauchard, O., Dürr, H.H., Brosse, S. & Oberdorff, T. (2011) Partitioning global patterns of freshwater fish beta diversity reveals contrasting signatures of past climate changes. Ecology Letters, 14, 325-334. Whittaker, R.H. (1960) Vegetation of the Siskiyou Mountains, Oregon and California. Ecological Monographs, 30, 280-338. Almeida-Neto, M., Frensel, D.M.B. & Ulrich, W. (2012) Rethinking the relationship between nestedness and beta diversity: a comment on Baselga (2010). Global Ecology and Biogeography, doi: 10.1111/j.1466-8238.2011.00709.x. Harrison, S., Ross, S.J. & Lawton, J.H. (1992) Beta-diversity on geographic gradients in Britain. Journal of Animal Ecology, 61, 151-158. Anderson, M.J., Crist, T.O., Chase, J.M., Vellend, M., Inouye, B.D., Freestone, A.L., Sanders, N.J., Cornell, H.V., Comita, L.S., Davies, K.F., Harrison, S.P., Kraft, N.J.B., Stegen, J.C. & Swenson, N.G. (2011) Navigating the multiple meanings of beta diversity: a roadmap for the practicing ecologist. Ecology Letters, 14, 19-28. Wright, D.H. & Reeves, J.H. (1992) On the meaning and measurement of nestedness of species assemblages. Oecologia, 92, 416-428. Baselga, A. (2010) Partitioning the turnover and nestedness components of beta diversity. Global Ecology and Biogeography, 19, 134-143. Carvalho, J.C., Cardoso, P. & Gomes, P. (2012) Determining the relative roles of species replacement and species richness differences in generating beta-diversity patterns. Global Ecology and Biogeography, doi: 10.1111/j.1466-8238.2011.00694.x. Ulrich, W., Almeida-Neto, M. & Gotelli, N.J. (2009) A consumer's guide to nestedness analysis. Oikos, 118, 3-17. Diserud, O.H. & Ødegaard, F. (2007) A multiple-site similarity measure. Biology Letters, 3, 20-22. Jost, L. (2007) Partitioning diversity into independent alpha and beta components. Ecology, 88, 2427-2439. Simpson, G.G. (1943) Mammals and the nature of continents. American Journal of Science, 241, 1-31. Hortal, J., Diniz-Filho, J.A.F., Bini, L.M., Rodríguez, M.Á., Baselga, A., Nogués-Bravo, D., Rangel, T.F., Hawkins, B.A. & Lobo, J.M. (2011) Ice age climate, evolutionary constraints and diversity patterns of European dung beetles. Ecology Letters, 14, 741-748. Tuomisto, H. (2010) A diversity of beta diversities: straightening up a concept gone awry. Part 1. Defining beta diversity as a function of alpha and gamma diversity. Ecography, 33, 2-22. Williams, P.H. (1996) Mapping variations in the strength and breadth of biogeographic transition zones using species turnover. Proceedings of the Royal Society B: Biological Sciences, 263, 579-588. Dobrovolski, R., Melo, A.S., Cassemiro, F.A.S. & Diniz-Filho, J.A.F. (2012) Climatic history and dispersal ability explain the relative importance of turnover and nestedness components of beta diversity. Global Ecology and Biogeography, 21, 191-197. 2001; 70 2010; 33 1992; 92 1960; 30 2012 1948; 5 2010; 19 2000 2011; 80 2008; 117 1943; 241 1996; 263 2011; 14 2007; 3 2007; 30 1912; 11 2009; 118 2003; 72 2007; 88 2012; 21 1992; 61 2011; 120 e_1_2_10_23_1 e_1_2_10_24_1 e_1_2_10_22_1 e_1_2_10_20_1 e_1_2_10_2_1 e_1_2_10_4_1 e_1_2_10_18_1 e_1_2_10_3_1 e_1_2_10_19_1 e_1_2_10_6_1 e_1_2_10_16_1 e_1_2_10_5_1 e_1_2_10_17_1 e_1_2_10_8_1 e_1_2_10_14_1 e_1_2_10_7_1 e_1_2_10_15_1 e_1_2_10_12_1 e_1_2_10_9_1 e_1_2_10_13_1 Sørensen T.A. (e_1_2_10_21_1) 1948; 5 e_1_2_10_10_1 e_1_2_10_11_1 e_1_2_10_27_1 e_1_2_10_25_1 e_1_2_10_26_1 |
| References_xml | – reference: Svenning, J.C., Fløjgaard, C. & Baselga, A. (2011) Climate, history and neutrality as drivers of mammal beta diversity in Europe: insights from multiscale deconstruction. Journal of Animal Ecology, 80, 393-402. – reference: Tuomisto, H. (2010) A diversity of beta diversities: straightening up a concept gone awry. Part 1. Defining beta diversity as a function of alpha and gamma diversity. Ecography, 33, 2-22. – reference: Anderson, M.J., Crist, T.O., Chase, J.M., Vellend, M., Inouye, B.D., Freestone, A.L., Sanders, N.J., Cornell, H.V., Comita, L.S., Davies, K.F., Harrison, S.P., Kraft, N.J.B., Stegen, J.C. & Swenson, N.G. (2011) Navigating the multiple meanings of beta diversity: a roadmap for the practicing ecologist. Ecology Letters, 14, 19-28. – reference: Williams, P.H. (1996) Mapping variations in the strength and breadth of biogeographic transition zones using species turnover. Proceedings of the Royal Society B: Biological Sciences, 263, 579-588. – reference: Jost, L. (2007) Partitioning diversity into independent alpha and beta components. Ecology, 88, 2427-2439. – reference: Whittaker, R.H. (1960) Vegetation of the Siskiyou Mountains, Oregon and California. Ecological Monographs, 30, 280-338. – reference: Sørensen, T.A. (1948) A method of establishing groups of equal amplitude in plant sociology based on similarity of species content, and its application to analyses of the vegetation on Danish commons. Kongelige Danske Videnskabernes Selskabs Biologiske Skrifter, 5, 1-34. – reference: Harrison, S., Ross, S.J. & Lawton, J.H. (1992) Beta-diversity on geographic gradients in Britain. Journal of Animal Ecology, 61, 151-158. – reference: Hortal, J., Diniz-Filho, J.A.F., Bini, L.M., Rodríguez, M.Á., Baselga, A., Nogués-Bravo, D., Rangel, T.F., Hawkins, B.A. & Lobo, J.M. (2011) Ice age climate, evolutionary constraints and diversity patterns of European dung beetles. Ecology Letters, 14, 741-748. – reference: Carvalho, J.C., Cardoso, P. & Gomes, P. (2012) Determining the relative roles of species replacement and species richness differences in generating beta-diversity patterns. Global Ecology and Biogeography, doi: 10.1111/j.1466-8238.2011.00694.x. – reference: Simpson, G.G. (1943) Mammals and the nature of continents. American Journal of Science, 241, 1-31. – reference: Jaccard, P. (1912) The distribution of the flora in the alpine zone. New Phytologist, 11, 37-50. – reference: Podani, J. & Schmera, D. (2011) A new conceptual and methodological framework for exploring and explaining pattern in presence-absence data. Oikos, 120, 1625-1638. – reference: Wright, D.H. & Reeves, J.H. (1992) On the meaning and measurement of nestedness of species assemblages. Oecologia, 92, 416-428. – reference: Koleff, P., Gaston, K.J. & Lennon, J.K. (2003) Measuring beta diversity for presence-absence data. Journal of Animal Ecology, 72, 367-382. – reference: Lennon, J.J., Koleff, P., Greenwood, J.J.D. & Gaston, K.J. (2001) The geographical structure of British bird distributions: diversity, spatial turnover and scale. Journal of Animal Ecology, 70, 966-979. – reference: Diserud, O.H. & Ødegaard, F. (2007) A multiple-site similarity measure. Biology Letters, 3, 20-22. – reference: Ulrich, W., Almeida-Neto, M. & Gotelli, N.J. (2009) A consumer's guide to nestedness analysis. Oikos, 118, 3-17. – reference: Almeida-Neto, M., Frensel, D.M.B. & Ulrich, W. (2012) Rethinking the relationship between nestedness and beta diversity: a comment on Baselga (2010). Global Ecology and Biogeography, doi: 10.1111/j.1466-8238.2011.00709.x. – reference: Dobrovolski, R., Melo, A.S., Cassemiro, F.A.S. & Diniz-Filho, J.A.F. (2012) Climatic history and dispersal ability explain the relative importance of turnover and nestedness components of beta diversity. Global Ecology and Biogeography, 21, 191-197. – reference: Almeida-Neto, M., Guimarães, P., Guimarães, P.R., Loyola, R.D. & Ulrich, W. (2008) A consistent metric for nestedness analysis in ecological systems: reconciling concept and measurement. Oikos, 117, 1227-1239. – reference: Baselga, A., Jiménez-Valverde, A. & Niccolini, G. (2007) A multiple-site similarity measure independent of richness. Biology Letters, 3, 642-645. – reference: Gaston, K.J. & Blackburn, T.M. (2000) Pattern and process in macroecology. Blackwell Science, Oxford. – reference: Baselga, A. (2010) Partitioning the turnover and nestedness components of beta diversity. Global Ecology and Biogeography, 19, 134-143. – reference: Leprieur, F., Tedesco, P.A., Hugueny, B., Beauchard, O., Dürr, H.H., Brosse, S. & Oberdorff, T. (2011) Partitioning global patterns of freshwater fish beta diversity reveals contrasting signatures of past climate changes. Ecology Letters, 14, 325-334. – reference: Soininen, J., McDonald, R. & Hillebrand, H. (2007) The distance decay of similarity in ecological communities. Ecography, 30, 3-12. – volume: 14 start-page: 19 year: 2011 end-page: 28 article-title: Navigating the multiple meanings of beta diversity: a roadmap for the practicing ecologist publication-title: Ecology Letters – volume: 19 start-page: 134 year: 2010 end-page: 143 article-title: Partitioning the turnover and nestedness components of beta diversity publication-title: Global Ecology and Biogeography – volume: 263 start-page: 579 year: 1996 end-page: 588 article-title: Mapping variations in the strength and breadth of biogeographic transition zones using species turnover publication-title: Proceedings of the Royal Society B: Biological Sciences – volume: 21 start-page: 191 year: 2012 end-page: 197 article-title: Climatic history and dispersal ability explain the relative importance of turnover and nestedness components of beta diversity publication-title: Global Ecology and Biogeography – volume: 33 start-page: 2 year: 2010 end-page: 22 article-title: A diversity of beta diversities: straightening up a concept gone awry. 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volume: 72 start-page: 367 year: 2003 end-page: 382 article-title: Measuring beta diversity for presence–absence data publication-title: Journal of Animal Ecology – year: 2000 – volume: 61 start-page: 151 year: 1992 end-page: 158 article-title: Beta‐diversity on geographic gradients in Britain publication-title: Journal of Animal Ecology – volume: 88 start-page: 2427 year: 2007 end-page: 2439 article-title: Partitioning diversity into independent alpha and beta components publication-title: Ecology – volume: 3 start-page: 642 year: 2007 end-page: 645 article-title: A multiple‐site similarity measure independent of richness publication-title: Biology Letters – volume: 14 start-page: 325 year: 2011 end-page: 334 article-title: Partitioning global patterns of freshwater fish beta diversity reveals contrasting signatures of past climate changes publication-title: Ecology Letters – volume: 80 start-page: 393 year: 2011 end-page: 402 article-title: Climate, history and neutrality as drivers of mammal beta diversity in Europe: insights from multiscale deconstruction publication-title: Journal of Animal Ecology – volume: 14 start-page: 741 year: 2011 end-page: 748 article-title: Ice age climate, evolutionary constraints and diversity patterns of European dung beetles publication-title: Ecology Letters – volume: 3 start-page: 20 year: 2007 end-page: 22 article-title: A multiple‐site similarity measure publication-title: Biology Letters – volume: 30 start-page: 3 year: 2007 end-page: 12 article-title: The distance decay of similarity in ecological communities publication-title: Ecography – volume: 70 start-page: 966 year: 2001 end-page: 979 article-title: The geographical structure of British bird distributions: diversity, spatial turnover and scale publication-title: Journal of Animal Ecology – volume: 118 start-page: 3 year: 2009 end-page: 17 article-title: A consumer's guide to nestedness analysis publication-title: Oikos – volume: 30 start-page: 280 year: 1960 end-page: 338 article-title: Vegetation of the Siskiyou Mountains, Oregon and California publication-title: Ecological Monographs – volume: 5 start-page: 1 year: 1948 end-page: 34 article-title: A method of establishing groups of equal amplitude in plant sociology based on similarity of species content, and its application to analyses of the vegetation on Danish commons publication-title: Kongelige Danske Videnskabernes Selskabs Biologiske Skrifter – volume: 241 start-page: 1 year: 1943 end-page: 31 article-title: Mammals and the nature of continents publication-title: American Journal of Science – volume: 117 start-page: 1227 year: 2008 end-page: 1239 article-title: A consistent metric for nestedness analysis in ecological systems: reconciling concept and measurement publication-title: Oikos – ident: e_1_2_10_26_1 doi: 10.1098/rspb.1996.0087 – ident: e_1_2_10_25_1 doi: 10.2307/1943563 – ident: e_1_2_10_11_1 doi: 10.2307/5518 – ident: e_1_2_10_23_1 doi: 10.1111/j.1600-0587.2009.05880.x – ident: 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| Snippet | Aim: Beta diversity can be partitioned into two components: dissimilarity due to species replacement and dissimilarity due to nestedness (Baselga, 2010, Global... ABSTRACT Aim Beta diversity can be partitioned into two components: dissimilarity due to species replacement and dissimilarity due to nestedness (Baselga,... Aim Beta diversity can be partitioned into two components: dissimilarity due to species replacement and dissimilarity due to nestedness ( Baselga, 2010 ,... Aim Beta diversity can be partitioned into two components: dissimilarity due to species replacement and dissimilarity due to nestedness (Baselga, 2010, Global... |
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| SubjectTerms | Animal and plant ecology Animal ecology Animal nesting Animal, plant and microbial ecology Beta diversity Biodiversity Biogeography Biological and medical sciences Compost dissimilarity Fundamental and applied biological sciences. Psychology General aspects MACROECOLOGICAL METHODS nestedness Population ecology Resultants richness differences spatial turnover Species Species diversity species replacement Studies Synecology Zero |
| Title | The relationship between species replacement, dissimilarity derived from nestedness, and nestedness |
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