Speciation along environmental gradients View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2003-01

AUTHORS

Michael Doebeli, Ulf Dieckmann

ABSTRACT

Traditional discussions of speciation are based on geographical patterns of species ranges. In allopatric speciation, long-term geographical isolation generates reproductively isolated and spatially segregated descendant species. In the absence of geographical barriers, diversification is hindered by gene flow. Yet a growing body of phylogenetic and experimental data suggests that closely related species often occur in sympatry or have adjacent ranges in regions over which environmental changes are gradual and do not prevent gene flow. Theory has identified a variety of evolutionary processes that can result in speciation under sympatric conditions, with some recent advances concentrating on the phenomenon of evolutionary branching. Here we establish a link between geographical patterns and ecological processes of speciation by studying evolutionary branching in spatially structured populations. We show that along an environmental gradient, evolutionary branching can occur much more easily than in non-spatial models. This facilitation is most pronounced for gradients of intermediate slope. Moreover, spatial evolutionary branching readily generates patterns of spatial segregation and abutment between the emerging species. Our results highlight the importance of local processes of adaptive divergence for geographical patterns of speciation, and caution against pitfalls of inferring past speciation processes from present biogeographical patterns. More... »

PAGES

259

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nature01274

DOI

http://dx.doi.org/10.1038/nature01274

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052226273

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/12529641


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/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biological Evolution", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Competitive Behavior", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ecology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Environment", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Food", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Geography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Biological", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Phenotype", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Phylogeny", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Population Dynamics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproduction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Species Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Temperature", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of British Columbia", 
          "id": "https://www.grid.ac/institutes/grid.17091.3e", 
          "name": [
            "*Departments of Zoology and Mathematics, University of British Columbia, Vancouver, Canada V6T 1Z4"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Doebeli", 
        "givenName": "Michael", 
        "id": "sg:person.01163644114.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01163644114.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "International Institute for Applied Systems Analysis", 
          "id": "https://www.grid.ac/institutes/grid.75276.31", 
          "name": [
            "\u2020Adaptive Dynamics Network, International Institute for Applied Systems Analysis, A-2361 Laxenburg, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dieckmann", 
        "givenName": "Ulf", 
        "id": "sg:person.01361134607.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361134607.92"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1073/pnas.152011499", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010136156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1006554906681", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010444050", 
          "https://doi.org/10.1023/a:1006554906681"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-294x.2001.01276.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013109995"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-5193(78)90348-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023301192"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0169-5347(01)02188-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024827225"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/27900", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027818869", 
          "https://doi.org/10.1038/27900"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/27900", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027818869", 
          "https://doi.org/10.1038/27900"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1420-9101.2001.00304.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031935002"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0169-5347(01)02177-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032387526"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/f99-245", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032453164"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/303351", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037201513"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/22514", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037560500", 
          "https://doi.org/10.1038/22514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/22514", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037560500", 
          "https://doi.org/10.1038/22514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/368629a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037759569", 
          "https://doi.org/10.1038/368629a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jtbi.1998.0864", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045459321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/355511a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050792497", 
          "https://doi.org/10.1038/355511a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/22521", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051030057", 
          "https://doi.org/10.1038/22521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/22521", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051030057", 
          "https://doi.org/10.1038/22521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspb.2001.1780", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051700440"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.92.22.10349", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053032453"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s001667239900422x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054065779"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/303332", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058610867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/303417", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058610949"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.266.5186.798", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062549110"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2407946", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069917003"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2408039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069917089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2410998", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069919708"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1558-5646.1982.tb05034.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085716589"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1558-5646.1995.tb04445.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085728255"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1558-5646.1997.tb05099.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085729944"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1558-5646.1981.tb04864.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085737724"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4159/harvard.9780674865327", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099304422"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9780511525537", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109378452"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2003-01", 
    "datePublishedReg": "2003-01-01", 
    "description": "Traditional discussions of speciation are based on geographical patterns of species ranges. In allopatric speciation, long-term geographical isolation generates reproductively isolated and spatially segregated descendant species. In the absence of geographical barriers, diversification is hindered by gene flow. Yet a growing body of phylogenetic and experimental data suggests that closely related species often occur in sympatry or have adjacent ranges in regions over which environmental changes are gradual and do not prevent gene flow. Theory has identified a variety of evolutionary processes that can result in speciation under sympatric conditions, with some recent advances concentrating on the phenomenon of evolutionary branching. Here we establish a link between geographical patterns and ecological processes of speciation by studying evolutionary branching in spatially structured populations. We show that along an environmental gradient, evolutionary branching can occur much more easily than in non-spatial models. This facilitation is most pronounced for gradients of intermediate slope. Moreover, spatial evolutionary branching readily generates patterns of spatial segregation and abutment between the emerging species. Our results highlight the importance of local processes of adaptive divergence for geographical patterns of speciation, and caution against pitfalls of inferring past speciation processes from present biogeographical patterns.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/nature01274", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1018957", 
        "issn": [
          "0090-0028", 
          "1476-4687"
        ], 
        "name": "Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6920", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "421"
      }
    ], 
    "name": "Speciation along environmental gradients", 
    "pagination": "259", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f8c575bf8768907fd13a69d6a14711090e5b30d1fb684d867d4f6327a4351966"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "12529641"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0410462"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/nature01274"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1052226273"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/nature01274", 
      "https://app.dimensions.ai/details/publication/pub.1052226273"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:22", 
    "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/v90/0000000362_0000000362/records_87088_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/nature01274"
  }
]
 

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.10.1038/nature01274'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/nature01274'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nature01274'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nature01274'


 

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

231 TRIPLES      21 PREDICATES      73 URIs      35 LITERALS      23 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/nature01274 schema:about N0f3ad0bb829b42ab9702aafee6a10a7d
2 N108567f604294b5f9d3e2371586d567d
3 N18a98a61c66549f98f6c786ebfe8e2d8
4 N776d3233f44e4e6587271b6f6932fcad
5 N7874e5ebdd454e529b37bdd4d34c53dd
6 N8397e606a41e474ea9fb212f2c107b10
7 N90fc721733944770a26cc9637096c6bc
8 N915ab43bbca74e5bb2ea450b20d15dac
9 N95b56f81b4f9464e96ed5262942f8a3e
10 N9b97a1fea396478dbb3a41a57efdb677
11 Nd24b0fa8538d4544afed7d40b1cfade8
12 Nd5497d50de9a4d9a8ec0f2da21cf306e
13 Nf02449bf8ec840aa8a048a57dee22b5f
14 Nf3166b70dada44f58d294932ec875feb
15 anzsrc-for:06
16 anzsrc-for:0604
17 schema:author N8fa97343061b4c69b3d18361e5d43a0d
18 schema:citation sg:pub.10.1023/a:1006554906681
19 sg:pub.10.1038/22514
20 sg:pub.10.1038/22521
21 sg:pub.10.1038/27900
22 sg:pub.10.1038/355511a0
23 sg:pub.10.1038/368629a0
24 https://doi.org/10.1006/jtbi.1998.0864
25 https://doi.org/10.1016/0022-5193(78)90348-x
26 https://doi.org/10.1016/s0169-5347(01)02177-2
27 https://doi.org/10.1016/s0169-5347(01)02188-7
28 https://doi.org/10.1017/cbo9780511525537
29 https://doi.org/10.1017/s001667239900422x
30 https://doi.org/10.1046/j.1365-294x.2001.01276.x
31 https://doi.org/10.1046/j.1420-9101.2001.00304.x
32 https://doi.org/10.1073/pnas.152011499
33 https://doi.org/10.1073/pnas.92.22.10349
34 https://doi.org/10.1086/303332
35 https://doi.org/10.1086/303351
36 https://doi.org/10.1086/303417
37 https://doi.org/10.1098/rspb.2001.1780
38 https://doi.org/10.1111/j.1558-5646.1981.tb04864.x
39 https://doi.org/10.1111/j.1558-5646.1982.tb05034.x
40 https://doi.org/10.1111/j.1558-5646.1995.tb04445.x
41 https://doi.org/10.1111/j.1558-5646.1997.tb05099.x
42 https://doi.org/10.1126/science.266.5186.798
43 https://doi.org/10.1139/f99-245
44 https://doi.org/10.2307/2407946
45 https://doi.org/10.2307/2408039
46 https://doi.org/10.2307/2410998
47 https://doi.org/10.4159/harvard.9780674865327
48 schema:datePublished 2003-01
49 schema:datePublishedReg 2003-01-01
50 schema:description Traditional discussions of speciation are based on geographical patterns of species ranges. In allopatric speciation, long-term geographical isolation generates reproductively isolated and spatially segregated descendant species. In the absence of geographical barriers, diversification is hindered by gene flow. Yet a growing body of phylogenetic and experimental data suggests that closely related species often occur in sympatry or have adjacent ranges in regions over which environmental changes are gradual and do not prevent gene flow. Theory has identified a variety of evolutionary processes that can result in speciation under sympatric conditions, with some recent advances concentrating on the phenomenon of evolutionary branching. Here we establish a link between geographical patterns and ecological processes of speciation by studying evolutionary branching in spatially structured populations. We show that along an environmental gradient, evolutionary branching can occur much more easily than in non-spatial models. This facilitation is most pronounced for gradients of intermediate slope. Moreover, spatial evolutionary branching readily generates patterns of spatial segregation and abutment between the emerging species. Our results highlight the importance of local processes of adaptive divergence for geographical patterns of speciation, and caution against pitfalls of inferring past speciation processes from present biogeographical patterns.
51 schema:genre research_article
52 schema:inLanguage en
53 schema:isAccessibleForFree true
54 schema:isPartOf N25c950934ecb420785b3c662981253b0
55 Nc230f0c5788a4e9b9dfe269822588c55
56 sg:journal.1018957
57 schema:name Speciation along environmental gradients
58 schema:pagination 259
59 schema:productId N59285f9003664ff9a869f6bfe7849379
60 Nc2d31b175ea6428c95c98bdb02059d2a
61 Nc4efc87b74794d279f210d6f2a7687b4
62 Ncbe6dd5516684d75ba3316b7c91d5828
63 Ne2eef06ed338470f93f514b78b12ec83
64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052226273
65 https://doi.org/10.1038/nature01274
66 schema:sdDatePublished 2019-04-11T12:22
67 schema:sdLicense https://scigraph.springernature.com/explorer/license/
68 schema:sdPublisher Nb5afb3c9d5a54ba5bdb4b0fd3ce2e4d8
69 schema:url https://www.nature.com/articles/nature01274
70 sgo:license sg:explorer/license/
71 sgo:sdDataset articles
72 rdf:type schema:ScholarlyArticle
73 N0f3ad0bb829b42ab9702aafee6a10a7d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Food
75 rdf:type schema:DefinedTerm
76 N108567f604294b5f9d3e2371586d567d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
77 schema:name Phylogeny
78 rdf:type schema:DefinedTerm
79 N18a98a61c66549f98f6c786ebfe8e2d8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
80 schema:name Environment
81 rdf:type schema:DefinedTerm
82 N25c950934ecb420785b3c662981253b0 schema:volumeNumber 421
83 rdf:type schema:PublicationVolume
84 N59285f9003664ff9a869f6bfe7849379 schema:name readcube_id
85 schema:value f8c575bf8768907fd13a69d6a14711090e5b30d1fb684d867d4f6327a4351966
86 rdf:type schema:PropertyValue
87 N6886c9f98c2e4f04a465ca52461081a1 rdf:first sg:person.01361134607.92
88 rdf:rest rdf:nil
89 N776d3233f44e4e6587271b6f6932fcad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Biological Evolution
91 rdf:type schema:DefinedTerm
92 N7874e5ebdd454e529b37bdd4d34c53dd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Animals
94 rdf:type schema:DefinedTerm
95 N8397e606a41e474ea9fb212f2c107b10 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Temperature
97 rdf:type schema:DefinedTerm
98 N8fa97343061b4c69b3d18361e5d43a0d rdf:first sg:person.01163644114.22
99 rdf:rest N6886c9f98c2e4f04a465ca52461081a1
100 N90fc721733944770a26cc9637096c6bc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Geography
102 rdf:type schema:DefinedTerm
103 N915ab43bbca74e5bb2ea450b20d15dac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Phenotype
105 rdf:type schema:DefinedTerm
106 N95b56f81b4f9464e96ed5262942f8a3e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Species Specificity
108 rdf:type schema:DefinedTerm
109 N9b97a1fea396478dbb3a41a57efdb677 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Competitive Behavior
111 rdf:type schema:DefinedTerm
112 Nb5afb3c9d5a54ba5bdb4b0fd3ce2e4d8 schema:name Springer Nature - SN SciGraph project
113 rdf:type schema:Organization
114 Nc230f0c5788a4e9b9dfe269822588c55 schema:issueNumber 6920
115 rdf:type schema:PublicationIssue
116 Nc2d31b175ea6428c95c98bdb02059d2a schema:name pubmed_id
117 schema:value 12529641
118 rdf:type schema:PropertyValue
119 Nc4efc87b74794d279f210d6f2a7687b4 schema:name nlm_unique_id
120 schema:value 0410462
121 rdf:type schema:PropertyValue
122 Ncbe6dd5516684d75ba3316b7c91d5828 schema:name dimensions_id
123 schema:value pub.1052226273
124 rdf:type schema:PropertyValue
125 Nd24b0fa8538d4544afed7d40b1cfade8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Models, Biological
127 rdf:type schema:DefinedTerm
128 Nd5497d50de9a4d9a8ec0f2da21cf306e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Population Dynamics
130 rdf:type schema:DefinedTerm
131 Ne2eef06ed338470f93f514b78b12ec83 schema:name doi
132 schema:value 10.1038/nature01274
133 rdf:type schema:PropertyValue
134 Nf02449bf8ec840aa8a048a57dee22b5f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Ecology
136 rdf:type schema:DefinedTerm
137 Nf3166b70dada44f58d294932ec875feb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Reproduction
139 rdf:type schema:DefinedTerm
140 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
141 schema:name Biological Sciences
142 rdf:type schema:DefinedTerm
143 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
144 schema:name Genetics
145 rdf:type schema:DefinedTerm
146 sg:journal.1018957 schema:issn 0090-0028
147 1476-4687
148 schema:name Nature
149 rdf:type schema:Periodical
150 sg:person.01163644114.22 schema:affiliation https://www.grid.ac/institutes/grid.17091.3e
151 schema:familyName Doebeli
152 schema:givenName Michael
153 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01163644114.22
154 rdf:type schema:Person
155 sg:person.01361134607.92 schema:affiliation https://www.grid.ac/institutes/grid.75276.31
156 schema:familyName Dieckmann
157 schema:givenName Ulf
158 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361134607.92
159 rdf:type schema:Person
160 sg:pub.10.1023/a:1006554906681 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010444050
161 https://doi.org/10.1023/a:1006554906681
162 rdf:type schema:CreativeWork
163 sg:pub.10.1038/22514 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037560500
164 https://doi.org/10.1038/22514
165 rdf:type schema:CreativeWork
166 sg:pub.10.1038/22521 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051030057
167 https://doi.org/10.1038/22521
168 rdf:type schema:CreativeWork
169 sg:pub.10.1038/27900 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027818869
170 https://doi.org/10.1038/27900
171 rdf:type schema:CreativeWork
172 sg:pub.10.1038/355511a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050792497
173 https://doi.org/10.1038/355511a0
174 rdf:type schema:CreativeWork
175 sg:pub.10.1038/368629a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037759569
176 https://doi.org/10.1038/368629a0
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1006/jtbi.1998.0864 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045459321
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/0022-5193(78)90348-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023301192
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/s0169-5347(01)02177-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032387526
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/s0169-5347(01)02188-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024827225
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1017/cbo9780511525537 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109378452
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1017/s001667239900422x schema:sameAs https://app.dimensions.ai/details/publication/pub.1054065779
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1046/j.1365-294x.2001.01276.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1013109995
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1046/j.1420-9101.2001.00304.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1031935002
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1073/pnas.152011499 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010136156
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1073/pnas.92.22.10349 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053032453
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1086/303332 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058610867
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1086/303351 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037201513
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1086/303417 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058610949
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1098/rspb.2001.1780 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051700440
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1111/j.1558-5646.1981.tb04864.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1085737724
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1111/j.1558-5646.1982.tb05034.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1085716589
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1111/j.1558-5646.1995.tb04445.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1085728255
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1111/j.1558-5646.1997.tb05099.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1085729944
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1126/science.266.5186.798 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062549110
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1139/f99-245 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032453164
217 rdf:type schema:CreativeWork
218 https://doi.org/10.2307/2407946 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069917003
219 rdf:type schema:CreativeWork
220 https://doi.org/10.2307/2408039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069917089
221 rdf:type schema:CreativeWork
222 https://doi.org/10.2307/2410998 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069919708
223 rdf:type schema:CreativeWork
224 https://doi.org/10.4159/harvard.9780674865327 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099304422
225 rdf:type schema:CreativeWork
226 https://www.grid.ac/institutes/grid.17091.3e schema:alternateName University of British Columbia
227 schema:name *Departments of Zoology and Mathematics, University of British Columbia, Vancouver, Canada V6T 1Z4
228 rdf:type schema:Organization
229 https://www.grid.ac/institutes/grid.75276.31 schema:alternateName International Institute for Applied Systems Analysis
230 schema:name †Adaptive Dynamics Network, International Institute for Applied Systems Analysis, A-2361 Laxenburg, Austria
231 rdf:type schema:Organization
 




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


...