Compositional dissimilarity as a robust measure of ecological distance
Abstract The robustness of quantitative measures of compositional dissimilarity between sites was evaluated using extensive computer simulations of species' abundance patterns over one and two dimensional configurations of sample sites in ecological space. Robustness was equated with the streng...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Faith, Daniel P. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
1987 |
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| Schlagwörter: |
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| Anmerkung: |
© Dr W. Junk Publishers 1987 |
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| Übergeordnetes Werk: |
Enthalten in: Vegetatio - Kluwer Academic Publishers, 1948, 69(1987), 1-3 vom: Apr., Seite 57-68 |
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| Übergeordnetes Werk: |
volume:69 ; year:1987 ; number:1-3 ; month:04 ; pages:57-68 |
| Links: |
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| DOI / URN: |
10.1007/BF00038687 |
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| Katalog-ID: |
OLC2084245958 |
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| 520 | |a Abstract The robustness of quantitative measures of compositional dissimilarity between sites was evaluated using extensive computer simulations of species' abundance patterns over one and two dimensional configurations of sample sites in ecological space. Robustness was equated with the strength over a range of models, of the linear and monotonic (rank-order) relationship between the compositional dissimilarities and the corresponding Euclidean distances between sites measured in the ecological space. The range of models reflected different assumptions about species' response curve shape, sampling pattern of sites, noise level of the data, species' interactions, trends in total site abundance, and beta diversity of gradients. The Kulczynski, Bray-Curtis and Relativized Manhattan measures were found to have not only a robust monotonic relationship with ecological distance, but also a robust linear (proportional) relationship until ecological distances became large. Less robust measures included Chord distance, Kendall's coefficient, Chisquared distance, Manhattan distance, and Euclidean distance. A new ordination method, hybrid multidimensional scaling (HMDS), is introduced that combines metric and nonmetric criteria, and so takes advantage of the particular properties of robust dissimilarity measures such as the Kulczynski measure. | ||
| 650 | 4 | |a Dissimilarity measure | |
| 650 | 4 | |a Ecological distance | |
| 650 | 4 | |a Hybrid multidimensional scaling | |
| 650 | 4 | |a Multidimensional scaling | |
| 650 | 4 | |a Nonmetric | |
| 650 | 4 | |a Ordination | |
| 650 | 4 | |a Robustness | |
| 650 | 4 | |a Simulation | |
| 700 | 1 | |a Minchin, Peter R. |4 aut | |
| 700 | 1 | |a Belbin, Lee |4 aut | |
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10.1007/BF00038687 doi (DE-627)OLC2084245958 (DE-He213)BF00038687-p DE-627 ger DE-627 rakwb eng 580 VZ 12 ssgn BIODIV DE-30 fid Faith, Daniel P. verfasserin aut Compositional dissimilarity as a robust measure of ecological distance 1987 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Dr W. Junk Publishers 1987 Abstract The robustness of quantitative measures of compositional dissimilarity between sites was evaluated using extensive computer simulations of species' abundance patterns over one and two dimensional configurations of sample sites in ecological space. Robustness was equated with the strength over a range of models, of the linear and monotonic (rank-order) relationship between the compositional dissimilarities and the corresponding Euclidean distances between sites measured in the ecological space. The range of models reflected different assumptions about species' response curve shape, sampling pattern of sites, noise level of the data, species' interactions, trends in total site abundance, and beta diversity of gradients. The Kulczynski, Bray-Curtis and Relativized Manhattan measures were found to have not only a robust monotonic relationship with ecological distance, but also a robust linear (proportional) relationship until ecological distances became large. Less robust measures included Chord distance, Kendall's coefficient, Chisquared distance, Manhattan distance, and Euclidean distance. A new ordination method, hybrid multidimensional scaling (HMDS), is introduced that combines metric and nonmetric criteria, and so takes advantage of the particular properties of robust dissimilarity measures such as the Kulczynski measure. Dissimilarity measure Ecological distance Hybrid multidimensional scaling Multidimensional scaling Nonmetric Ordination Robustness Simulation Minchin, Peter R. aut Belbin, Lee aut Enthalten in Vegetatio Kluwer Academic Publishers, 1948 69(1987), 1-3 vom: Apr., Seite 57-68 (DE-627)129466557 (DE-600)201543-2 (DE-576)014832917 0042-3106 nnns volume:69 year:1987 number:1-3 month:04 pages:57-68 https://doi.org/10.1007/BF00038687 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-TEC SSG-OLC-FOR SSG-OPC-FOR GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_130 GBV_ILN_2004 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2015 GBV_ILN_2173 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4029 GBV_ILN_4082 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4311 GBV_ILN_4323 GBV_ILN_4325 GBV_ILN_4330 AR 69 1987 1-3 04 57-68 |
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10.1007/BF00038687 doi (DE-627)OLC2084245958 (DE-He213)BF00038687-p DE-627 ger DE-627 rakwb eng 580 VZ 12 ssgn BIODIV DE-30 fid Faith, Daniel P. verfasserin aut Compositional dissimilarity as a robust measure of ecological distance 1987 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Dr W. Junk Publishers 1987 Abstract The robustness of quantitative measures of compositional dissimilarity between sites was evaluated using extensive computer simulations of species' abundance patterns over one and two dimensional configurations of sample sites in ecological space. Robustness was equated with the strength over a range of models, of the linear and monotonic (rank-order) relationship between the compositional dissimilarities and the corresponding Euclidean distances between sites measured in the ecological space. The range of models reflected different assumptions about species' response curve shape, sampling pattern of sites, noise level of the data, species' interactions, trends in total site abundance, and beta diversity of gradients. The Kulczynski, Bray-Curtis and Relativized Manhattan measures were found to have not only a robust monotonic relationship with ecological distance, but also a robust linear (proportional) relationship until ecological distances became large. Less robust measures included Chord distance, Kendall's coefficient, Chisquared distance, Manhattan distance, and Euclidean distance. A new ordination method, hybrid multidimensional scaling (HMDS), is introduced that combines metric and nonmetric criteria, and so takes advantage of the particular properties of robust dissimilarity measures such as the Kulczynski measure. Dissimilarity measure Ecological distance Hybrid multidimensional scaling Multidimensional scaling Nonmetric Ordination Robustness Simulation Minchin, Peter R. aut Belbin, Lee aut Enthalten in Vegetatio Kluwer Academic Publishers, 1948 69(1987), 1-3 vom: Apr., Seite 57-68 (DE-627)129466557 (DE-600)201543-2 (DE-576)014832917 0042-3106 nnns volume:69 year:1987 number:1-3 month:04 pages:57-68 https://doi.org/10.1007/BF00038687 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-TEC SSG-OLC-FOR SSG-OPC-FOR GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_130 GBV_ILN_2004 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2015 GBV_ILN_2173 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4029 GBV_ILN_4082 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4311 GBV_ILN_4323 GBV_ILN_4325 GBV_ILN_4330 AR 69 1987 1-3 04 57-68 |
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10.1007/BF00038687 doi (DE-627)OLC2084245958 (DE-He213)BF00038687-p DE-627 ger DE-627 rakwb eng 580 VZ 12 ssgn BIODIV DE-30 fid Faith, Daniel P. verfasserin aut Compositional dissimilarity as a robust measure of ecological distance 1987 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Dr W. Junk Publishers 1987 Abstract The robustness of quantitative measures of compositional dissimilarity between sites was evaluated using extensive computer simulations of species' abundance patterns over one and two dimensional configurations of sample sites in ecological space. Robustness was equated with the strength over a range of models, of the linear and monotonic (rank-order) relationship between the compositional dissimilarities and the corresponding Euclidean distances between sites measured in the ecological space. The range of models reflected different assumptions about species' response curve shape, sampling pattern of sites, noise level of the data, species' interactions, trends in total site abundance, and beta diversity of gradients. The Kulczynski, Bray-Curtis and Relativized Manhattan measures were found to have not only a robust monotonic relationship with ecological distance, but also a robust linear (proportional) relationship until ecological distances became large. Less robust measures included Chord distance, Kendall's coefficient, Chisquared distance, Manhattan distance, and Euclidean distance. A new ordination method, hybrid multidimensional scaling (HMDS), is introduced that combines metric and nonmetric criteria, and so takes advantage of the particular properties of robust dissimilarity measures such as the Kulczynski measure. Dissimilarity measure Ecological distance Hybrid multidimensional scaling Multidimensional scaling Nonmetric Ordination Robustness Simulation Minchin, Peter R. aut Belbin, Lee aut Enthalten in Vegetatio Kluwer Academic Publishers, 1948 69(1987), 1-3 vom: Apr., Seite 57-68 (DE-627)129466557 (DE-600)201543-2 (DE-576)014832917 0042-3106 nnns volume:69 year:1987 number:1-3 month:04 pages:57-68 https://doi.org/10.1007/BF00038687 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-TEC SSG-OLC-FOR SSG-OPC-FOR GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_130 GBV_ILN_2004 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2015 GBV_ILN_2173 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4029 GBV_ILN_4082 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4311 GBV_ILN_4323 GBV_ILN_4325 GBV_ILN_4330 AR 69 1987 1-3 04 57-68 |
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10.1007/BF00038687 doi (DE-627)OLC2084245958 (DE-He213)BF00038687-p DE-627 ger DE-627 rakwb eng 580 VZ 12 ssgn BIODIV DE-30 fid Faith, Daniel P. verfasserin aut Compositional dissimilarity as a robust measure of ecological distance 1987 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Dr W. Junk Publishers 1987 Abstract The robustness of quantitative measures of compositional dissimilarity between sites was evaluated using extensive computer simulations of species' abundance patterns over one and two dimensional configurations of sample sites in ecological space. Robustness was equated with the strength over a range of models, of the linear and monotonic (rank-order) relationship between the compositional dissimilarities and the corresponding Euclidean distances between sites measured in the ecological space. The range of models reflected different assumptions about species' response curve shape, sampling pattern of sites, noise level of the data, species' interactions, trends in total site abundance, and beta diversity of gradients. The Kulczynski, Bray-Curtis and Relativized Manhattan measures were found to have not only a robust monotonic relationship with ecological distance, but also a robust linear (proportional) relationship until ecological distances became large. Less robust measures included Chord distance, Kendall's coefficient, Chisquared distance, Manhattan distance, and Euclidean distance. A new ordination method, hybrid multidimensional scaling (HMDS), is introduced that combines metric and nonmetric criteria, and so takes advantage of the particular properties of robust dissimilarity measures such as the Kulczynski measure. Dissimilarity measure Ecological distance Hybrid multidimensional scaling Multidimensional scaling Nonmetric Ordination Robustness Simulation Minchin, Peter R. aut Belbin, Lee aut Enthalten in Vegetatio Kluwer Academic Publishers, 1948 69(1987), 1-3 vom: Apr., Seite 57-68 (DE-627)129466557 (DE-600)201543-2 (DE-576)014832917 0042-3106 nnns volume:69 year:1987 number:1-3 month:04 pages:57-68 https://doi.org/10.1007/BF00038687 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-TEC SSG-OLC-FOR SSG-OPC-FOR GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_130 GBV_ILN_2004 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2015 GBV_ILN_2173 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4029 GBV_ILN_4082 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4311 GBV_ILN_4323 GBV_ILN_4325 GBV_ILN_4330 AR 69 1987 1-3 04 57-68 |
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10.1007/BF00038687 doi (DE-627)OLC2084245958 (DE-He213)BF00038687-p DE-627 ger DE-627 rakwb eng 580 VZ 12 ssgn BIODIV DE-30 fid Faith, Daniel P. verfasserin aut Compositional dissimilarity as a robust measure of ecological distance 1987 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Dr W. Junk Publishers 1987 Abstract The robustness of quantitative measures of compositional dissimilarity between sites was evaluated using extensive computer simulations of species' abundance patterns over one and two dimensional configurations of sample sites in ecological space. Robustness was equated with the strength over a range of models, of the linear and monotonic (rank-order) relationship between the compositional dissimilarities and the corresponding Euclidean distances between sites measured in the ecological space. The range of models reflected different assumptions about species' response curve shape, sampling pattern of sites, noise level of the data, species' interactions, trends in total site abundance, and beta diversity of gradients. The Kulczynski, Bray-Curtis and Relativized Manhattan measures were found to have not only a robust monotonic relationship with ecological distance, but also a robust linear (proportional) relationship until ecological distances became large. Less robust measures included Chord distance, Kendall's coefficient, Chisquared distance, Manhattan distance, and Euclidean distance. A new ordination method, hybrid multidimensional scaling (HMDS), is introduced that combines metric and nonmetric criteria, and so takes advantage of the particular properties of robust dissimilarity measures such as the Kulczynski measure. Dissimilarity measure Ecological distance Hybrid multidimensional scaling Multidimensional scaling Nonmetric Ordination Robustness Simulation Minchin, Peter R. aut Belbin, Lee aut Enthalten in Vegetatio Kluwer Academic Publishers, 1948 69(1987), 1-3 vom: Apr., Seite 57-68 (DE-627)129466557 (DE-600)201543-2 (DE-576)014832917 0042-3106 nnns volume:69 year:1987 number:1-3 month:04 pages:57-68 https://doi.org/10.1007/BF00038687 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-TEC SSG-OLC-FOR SSG-OPC-FOR GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_130 GBV_ILN_2004 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2015 GBV_ILN_2173 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4029 GBV_ILN_4082 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4310 GBV_ILN_4311 GBV_ILN_4323 GBV_ILN_4325 GBV_ILN_4330 AR 69 1987 1-3 04 57-68 |
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compositional dissimilarity as a robust measure of ecological distance |
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Compositional dissimilarity as a robust measure of ecological distance |
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Abstract The robustness of quantitative measures of compositional dissimilarity between sites was evaluated using extensive computer simulations of species' abundance patterns over one and two dimensional configurations of sample sites in ecological space. Robustness was equated with the strength over a range of models, of the linear and monotonic (rank-order) relationship between the compositional dissimilarities and the corresponding Euclidean distances between sites measured in the ecological space. The range of models reflected different assumptions about species' response curve shape, sampling pattern of sites, noise level of the data, species' interactions, trends in total site abundance, and beta diversity of gradients. The Kulczynski, Bray-Curtis and Relativized Manhattan measures were found to have not only a robust monotonic relationship with ecological distance, but also a robust linear (proportional) relationship until ecological distances became large. Less robust measures included Chord distance, Kendall's coefficient, Chisquared distance, Manhattan distance, and Euclidean distance. A new ordination method, hybrid multidimensional scaling (HMDS), is introduced that combines metric and nonmetric criteria, and so takes advantage of the particular properties of robust dissimilarity measures such as the Kulczynski measure. © Dr W. Junk Publishers 1987 |
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Abstract The robustness of quantitative measures of compositional dissimilarity between sites was evaluated using extensive computer simulations of species' abundance patterns over one and two dimensional configurations of sample sites in ecological space. Robustness was equated with the strength over a range of models, of the linear and monotonic (rank-order) relationship between the compositional dissimilarities and the corresponding Euclidean distances between sites measured in the ecological space. The range of models reflected different assumptions about species' response curve shape, sampling pattern of sites, noise level of the data, species' interactions, trends in total site abundance, and beta diversity of gradients. The Kulczynski, Bray-Curtis and Relativized Manhattan measures were found to have not only a robust monotonic relationship with ecological distance, but also a robust linear (proportional) relationship until ecological distances became large. Less robust measures included Chord distance, Kendall's coefficient, Chisquared distance, Manhattan distance, and Euclidean distance. A new ordination method, hybrid multidimensional scaling (HMDS), is introduced that combines metric and nonmetric criteria, and so takes advantage of the particular properties of robust dissimilarity measures such as the Kulczynski measure. © Dr W. Junk Publishers 1987 |
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Abstract The robustness of quantitative measures of compositional dissimilarity between sites was evaluated using extensive computer simulations of species' abundance patterns over one and two dimensional configurations of sample sites in ecological space. Robustness was equated with the strength over a range of models, of the linear and monotonic (rank-order) relationship between the compositional dissimilarities and the corresponding Euclidean distances between sites measured in the ecological space. The range of models reflected different assumptions about species' response curve shape, sampling pattern of sites, noise level of the data, species' interactions, trends in total site abundance, and beta diversity of gradients. The Kulczynski, Bray-Curtis and Relativized Manhattan measures were found to have not only a robust monotonic relationship with ecological distance, but also a robust linear (proportional) relationship until ecological distances became large. Less robust measures included Chord distance, Kendall's coefficient, Chisquared distance, Manhattan distance, and Euclidean distance. A new ordination method, hybrid multidimensional scaling (HMDS), is introduced that combines metric and nonmetric criteria, and so takes advantage of the particular properties of robust dissimilarity measures such as the Kulczynski measure. © Dr W. Junk Publishers 1987 |
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