Unifying and distinguishing diversity ordering methods for comparing communities View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2007-04

AUTHORS

Canran Liu, Robert J. Whittaker, Keping Ma, Jay R. Malcolm

ABSTRACT

Diversity indices have been widely used in ecological research, but they remain problematic in that different indices may rank communities inconsistently. This problem can be solved by using diversity ordering methods, the output of which is a diversity profile in graphical form for each community being compared. In this paper, we demonstrate that existing diversity ordering methods can be classified into four groups and that within-group methods are essentially equivalent, while among-group methods are not. We find that the intrinsic diversity-related methods—i.e., the group containing the right tail-sum method, the logarithmic dominance plot, the majorization method, and the k-dominance plot—provide the most stringent test of diversity ordering, and we recommend the right tail-sum method as the method of preference for practical purposes. More... »

PAGES

89-100

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10144-006-0026-0

DOI

http://dx.doi.org/10.1007/s10144-006-0026-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1007836338


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0502", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Environmental Science and Management", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/05", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Environmental Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of New England", 
          "id": "https://www.grid.ac/institutes/grid.1020.3", 
          "name": [
            "Department of Ecosystem Management, School of Environmental Sciences and Natural Resources Management, University of New England, 2351, Armidale, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Canran", 
        "id": "sg:person.010427334347.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010427334347.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Oxford", 
          "id": "https://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "Biodiversity Research Group, School of Geography, Oxford University Centre for the Environment, University of Oxford, South Parks Road, OX1 3PS, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Whittaker", 
        "givenName": "Robert J.", 
        "id": "sg:person.012567277751.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012567277751.93"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Botany", 
          "id": "https://www.grid.ac/institutes/grid.435133.3", 
          "name": [
            "Laboratory of Quantitative Vegetation Ecology, Institute of Botany, Chinese Academy of Sciences, 20 Nanxincun, Xiangshan, Haidian District, 100093, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ma", 
        "givenName": "Keping", 
        "id": "sg:person.01167064531.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167064531.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Toronto", 
          "id": "https://www.grid.ac/institutes/grid.17063.33", 
          "name": [
            "Faculty of Forestry, University of Toronto, 33 Willcocks Street, M5S 3B3, Toronto, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Malcolm", 
        "givenName": "Jay R.", 
        "id": "sg:person.01236216131.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01236216131.53"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0019-9958(70)80040-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003178742"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0960-0779(01)00019-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005393332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1009626406418", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005637797", 
          "https://doi.org/10.1023/a:1009626406418"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/3236223", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006997599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-3800(94)00044-i", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008257464"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-0981(75)90099-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008496428"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-0981(75)90099-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008496428"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-0981(93)90095-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009941068"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-0981(93)90095-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009941068"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1095-8312.1978.tb00006.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010725930"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2937232", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011526255"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1461-0248.2001.00230.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015653758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1095-8312.1978.tb00007.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017554822"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-015-7358-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022132261", 
          "https://doi.org/10.1007/978-94-015-7358-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-015-7358-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022132261", 
          "https://doi.org/10.1007/978-94-015-7358-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10260-003-0076-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023324751", 
          "https://doi.org/10.1007/s10260-003-0076-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1890/03-0557", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024838883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0303-2647(02)00014-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030011391"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2699.2001.00563.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033725340"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1099-095x(199909/10)10:5<589::aid-env374>3.0.co;2-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034133446"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1022295125043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034968965", 
          "https://doi.org/10.1023/a:1022295125043"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-1127(98)00358-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053405535"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01621459.1982.10477845", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058302668"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1556/comec.2.2001.2.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067885585"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1235", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069404983"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1236", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069405010"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1237", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069405011"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1252", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069417588"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1932276", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069656656"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1934145", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069658363"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1934352", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069658558"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1934621", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069658812"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1934771", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069658952"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1935358", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069659500"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1935578", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069659702"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1935579", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069659703"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1940125", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069663849"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2529778", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069975385"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2529952", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069975535"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2531334", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069976782"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3354/meps011195", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071164734"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/3899517", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102535901"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2007-04", 
    "datePublishedReg": "2007-04-01", 
    "description": "Diversity indices have been widely used in ecological research, but they remain problematic in that different indices may rank communities inconsistently. This problem can be solved by using diversity ordering methods, the output of which is a diversity profile in graphical form for each community being compared. In this paper, we demonstrate that existing diversity ordering methods can be classified into four groups and that within-group methods are essentially equivalent, while among-group methods are not. We find that the intrinsic diversity-related methods\u2014i.e., the group containing the right tail-sum method, the logarithmic dominance plot, the majorization method, and the k-dominance plot\u2014provide the most stringent test of diversity ordering, and we recommend the right tail-sum method as the method of preference for practical purposes.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10144-006-0026-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1297572", 
        "issn": [
          "1438-3896", 
          "1437-5613"
        ], 
        "name": "Population Ecology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "49"
      }
    ], 
    "name": "Unifying and distinguishing diversity ordering methods for comparing communities", 
    "pagination": "89-100", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2553e1382655ba705f17c8db3067ff41a2a15bcf00d62bf8991d048cf4f19466"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10144-006-0026-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1007836338"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10144-006-0026-0", 
      "https://app.dimensions.ai/details/publication/pub.1007836338"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T18:24", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8675_00000530.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs10144-006-0026-0"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10144-006-0026-0'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10144-006-0026-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10144-006-0026-0'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10144-006-0026-0'


 

This table displays all metadata directly associated to this object as RDF triples.

212 TRIPLES      21 PREDICATES      66 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10144-006-0026-0 schema:about anzsrc-for:05
2 anzsrc-for:0502
3 schema:author N25493afe061d4d4e8e2466cf5b0a4679
4 schema:citation sg:pub.10.1007/978-94-015-7358-0
5 sg:pub.10.1007/s10260-003-0076-9
6 sg:pub.10.1023/a:1009626406418
7 sg:pub.10.1023/a:1022295125043
8 https://doi.org/10.1002/(sici)1099-095x(199909/10)10:5<589::aid-env374>3.0.co;2-0
9 https://doi.org/10.1016/0022-0981(75)90099-4
10 https://doi.org/10.1016/0022-0981(93)90095-6
11 https://doi.org/10.1016/0304-3800(94)00044-i
12 https://doi.org/10.1016/s0019-9958(70)80040-7
13 https://doi.org/10.1016/s0303-2647(02)00014-x
14 https://doi.org/10.1016/s0378-1127(98)00358-2
15 https://doi.org/10.1016/s0960-0779(01)00019-4
16 https://doi.org/10.1046/j.1365-2699.2001.00563.x
17 https://doi.org/10.1046/j.1461-0248.2001.00230.x
18 https://doi.org/10.1080/01621459.1982.10477845
19 https://doi.org/10.1111/j.1095-8312.1978.tb00006.x
20 https://doi.org/10.1111/j.1095-8312.1978.tb00007.x
21 https://doi.org/10.1556/comec.2.2001.2.1
22 https://doi.org/10.1890/03-0557
23 https://doi.org/10.2307/1235
24 https://doi.org/10.2307/1236
25 https://doi.org/10.2307/1237
26 https://doi.org/10.2307/1252
27 https://doi.org/10.2307/1932276
28 https://doi.org/10.2307/1934145
29 https://doi.org/10.2307/1934352
30 https://doi.org/10.2307/1934621
31 https://doi.org/10.2307/1934771
32 https://doi.org/10.2307/1935358
33 https://doi.org/10.2307/1935578
34 https://doi.org/10.2307/1935579
35 https://doi.org/10.2307/1940125
36 https://doi.org/10.2307/2529778
37 https://doi.org/10.2307/2529952
38 https://doi.org/10.2307/2531334
39 https://doi.org/10.2307/2937232
40 https://doi.org/10.2307/3236223
41 https://doi.org/10.2307/3899517
42 https://doi.org/10.3354/meps011195
43 schema:datePublished 2007-04
44 schema:datePublishedReg 2007-04-01
45 schema:description Diversity indices have been widely used in ecological research, but they remain problematic in that different indices may rank communities inconsistently. This problem can be solved by using diversity ordering methods, the output of which is a diversity profile in graphical form for each community being compared. In this paper, we demonstrate that existing diversity ordering methods can be classified into four groups and that within-group methods are essentially equivalent, while among-group methods are not. We find that the intrinsic diversity-related methods—i.e., the group containing the right tail-sum method, the logarithmic dominance plot, the majorization method, and the k-dominance plot—provide the most stringent test of diversity ordering, and we recommend the right tail-sum method as the method of preference for practical purposes.
46 schema:genre research_article
47 schema:inLanguage en
48 schema:isAccessibleForFree false
49 schema:isPartOf N45d0be5e419544548ca75d340ff94e60
50 Nc0141e202ba44f26b3834d031cf7a76d
51 sg:journal.1297572
52 schema:name Unifying and distinguishing diversity ordering methods for comparing communities
53 schema:pagination 89-100
54 schema:productId N682d1f301f404a43818303fad384f1be
55 N8d5ed8ac1ad544c3a012b624ac61a742
56 N9dac432dedc34a1d91deef4ba4cc9af9
57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007836338
58 https://doi.org/10.1007/s10144-006-0026-0
59 schema:sdDatePublished 2019-04-10T18:24
60 schema:sdLicense https://scigraph.springernature.com/explorer/license/
61 schema:sdPublisher N814c3b9a067f448ba4de491d4b6d58fb
62 schema:url http://link.springer.com/10.1007%2Fs10144-006-0026-0
63 sgo:license sg:explorer/license/
64 sgo:sdDataset articles
65 rdf:type schema:ScholarlyArticle
66 N25493afe061d4d4e8e2466cf5b0a4679 rdf:first sg:person.010427334347.38
67 rdf:rest Nb4d445dad3c2434b9ac0197595beac7a
68 N43d063c4c1b048629eaf69191ca5bb3b rdf:first sg:person.01236216131.53
69 rdf:rest rdf:nil
70 N45d0be5e419544548ca75d340ff94e60 schema:issueNumber 2
71 rdf:type schema:PublicationIssue
72 N682d1f301f404a43818303fad384f1be schema:name doi
73 schema:value 10.1007/s10144-006-0026-0
74 rdf:type schema:PropertyValue
75 N814c3b9a067f448ba4de491d4b6d58fb schema:name Springer Nature - SN SciGraph project
76 rdf:type schema:Organization
77 N8d5ed8ac1ad544c3a012b624ac61a742 schema:name dimensions_id
78 schema:value pub.1007836338
79 rdf:type schema:PropertyValue
80 N9dac432dedc34a1d91deef4ba4cc9af9 schema:name readcube_id
81 schema:value 2553e1382655ba705f17c8db3067ff41a2a15bcf00d62bf8991d048cf4f19466
82 rdf:type schema:PropertyValue
83 Nb4d445dad3c2434b9ac0197595beac7a rdf:first sg:person.012567277751.93
84 rdf:rest Nbc2d9bd247be4928afadd63e54dcf548
85 Nbc2d9bd247be4928afadd63e54dcf548 rdf:first sg:person.01167064531.95
86 rdf:rest N43d063c4c1b048629eaf69191ca5bb3b
87 Nc0141e202ba44f26b3834d031cf7a76d schema:volumeNumber 49
88 rdf:type schema:PublicationVolume
89 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
90 schema:name Environmental Sciences
91 rdf:type schema:DefinedTerm
92 anzsrc-for:0502 schema:inDefinedTermSet anzsrc-for:
93 schema:name Environmental Science and Management
94 rdf:type schema:DefinedTerm
95 sg:journal.1297572 schema:issn 1437-5613
96 1438-3896
97 schema:name Population Ecology
98 rdf:type schema:Periodical
99 sg:person.010427334347.38 schema:affiliation https://www.grid.ac/institutes/grid.1020.3
100 schema:familyName Liu
101 schema:givenName Canran
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010427334347.38
103 rdf:type schema:Person
104 sg:person.01167064531.95 schema:affiliation https://www.grid.ac/institutes/grid.435133.3
105 schema:familyName Ma
106 schema:givenName Keping
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167064531.95
108 rdf:type schema:Person
109 sg:person.01236216131.53 schema:affiliation https://www.grid.ac/institutes/grid.17063.33
110 schema:familyName Malcolm
111 schema:givenName Jay R.
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01236216131.53
113 rdf:type schema:Person
114 sg:person.012567277751.93 schema:affiliation https://www.grid.ac/institutes/grid.4991.5
115 schema:familyName Whittaker
116 schema:givenName Robert J.
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012567277751.93
118 rdf:type schema:Person
119 sg:pub.10.1007/978-94-015-7358-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022132261
120 https://doi.org/10.1007/978-94-015-7358-0
121 rdf:type schema:CreativeWork
122 sg:pub.10.1007/s10260-003-0076-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023324751
123 https://doi.org/10.1007/s10260-003-0076-9
124 rdf:type schema:CreativeWork
125 sg:pub.10.1023/a:1009626406418 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005637797
126 https://doi.org/10.1023/a:1009626406418
127 rdf:type schema:CreativeWork
128 sg:pub.10.1023/a:1022295125043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034968965
129 https://doi.org/10.1023/a:1022295125043
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1002/(sici)1099-095x(199909/10)10:5<589::aid-env374>3.0.co;2-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034133446
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/0022-0981(75)90099-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008496428
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1016/0022-0981(93)90095-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009941068
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/0304-3800(94)00044-i schema:sameAs https://app.dimensions.ai/details/publication/pub.1008257464
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/s0019-9958(70)80040-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003178742
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/s0303-2647(02)00014-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1030011391
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/s0378-1127(98)00358-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053405535
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1016/s0960-0779(01)00019-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005393332
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1046/j.1365-2699.2001.00563.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1033725340
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1046/j.1461-0248.2001.00230.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1015653758
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1080/01621459.1982.10477845 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058302668
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1111/j.1095-8312.1978.tb00006.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1010725930
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1111/j.1095-8312.1978.tb00007.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1017554822
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1556/comec.2.2001.2.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067885585
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1890/03-0557 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024838883
160 rdf:type schema:CreativeWork
161 https://doi.org/10.2307/1235 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069404983
162 rdf:type schema:CreativeWork
163 https://doi.org/10.2307/1236 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069405010
164 rdf:type schema:CreativeWork
165 https://doi.org/10.2307/1237 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069405011
166 rdf:type schema:CreativeWork
167 https://doi.org/10.2307/1252 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069417588
168 rdf:type schema:CreativeWork
169 https://doi.org/10.2307/1932276 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069656656
170 rdf:type schema:CreativeWork
171 https://doi.org/10.2307/1934145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069658363
172 rdf:type schema:CreativeWork
173 https://doi.org/10.2307/1934352 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069658558
174 rdf:type schema:CreativeWork
175 https://doi.org/10.2307/1934621 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069658812
176 rdf:type schema:CreativeWork
177 https://doi.org/10.2307/1934771 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069658952
178 rdf:type schema:CreativeWork
179 https://doi.org/10.2307/1935358 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069659500
180 rdf:type schema:CreativeWork
181 https://doi.org/10.2307/1935578 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069659702
182 rdf:type schema:CreativeWork
183 https://doi.org/10.2307/1935579 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069659703
184 rdf:type schema:CreativeWork
185 https://doi.org/10.2307/1940125 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069663849
186 rdf:type schema:CreativeWork
187 https://doi.org/10.2307/2529778 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069975385
188 rdf:type schema:CreativeWork
189 https://doi.org/10.2307/2529952 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069975535
190 rdf:type schema:CreativeWork
191 https://doi.org/10.2307/2531334 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069976782
192 rdf:type schema:CreativeWork
193 https://doi.org/10.2307/2937232 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011526255
194 rdf:type schema:CreativeWork
195 https://doi.org/10.2307/3236223 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006997599
196 rdf:type schema:CreativeWork
197 https://doi.org/10.2307/3899517 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102535901
198 rdf:type schema:CreativeWork
199 https://doi.org/10.3354/meps011195 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071164734
200 rdf:type schema:CreativeWork
201 https://www.grid.ac/institutes/grid.1020.3 schema:alternateName University of New England
202 schema:name Department of Ecosystem Management, School of Environmental Sciences and Natural Resources Management, University of New England, 2351, Armidale, Australia
203 rdf:type schema:Organization
204 https://www.grid.ac/institutes/grid.17063.33 schema:alternateName University of Toronto
205 schema:name Faculty of Forestry, University of Toronto, 33 Willcocks Street, M5S 3B3, Toronto, ON, Canada
206 rdf:type schema:Organization
207 https://www.grid.ac/institutes/grid.435133.3 schema:alternateName Institute of Botany
208 schema:name Laboratory of Quantitative Vegetation Ecology, Institute of Botany, Chinese Academy of Sciences, 20 Nanxincun, Xiangshan, Haidian District, 100093, Beijing, China
209 rdf:type schema:Organization
210 https://www.grid.ac/institutes/grid.4991.5 schema:alternateName University of Oxford
211 schema:name Biodiversity Research Group, School of Geography, Oxford University Centre for the Environment, University of Oxford, South Parks Road, OX1 3PS, Oxford, UK
212 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...