Contagious Disturbance, Ecological Memory, and the Emergence of Landscape Pattern View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2002-06

AUTHORS

Garry D. Peterson

ABSTRACT

Landscapes are strongly shaped by the degree of interaction between pattern and process. This paper examines how ecological memory, the degree to which an ecological process is shaped by its past modifications of a landscape, influences landscape dynamics. I use a simulation model to examine how ecological memory shapes the landscape dynamics produced by the interaction of vegetative regrowth and fire. The model illustrated that increased ecological memory increased the strength and spatial extent of landscape pattern. The extent of these changes depended upon the relative rates of vegetative recovery and fire initiation. When ecological memory is strong, landscape pattern is persistent; pattern tends to be maintained rather than destroyed by fire. The generality of the simulation model suggests that these results may also apply to disturbance processes other than fire. The existence of ecological memory in ecosystems may allow processes to produce ecological pattern that can entrain other ecosystem variables. The methods presented in this paper to analyze pattern in model ecosystems could be used to detect such pattern in actual ecosystems. More... »

PAGES

329-338

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10021-001-0077-1

DOI

http://dx.doi.org/10.1007/s10021-001-0077-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1020969233


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 Wisconsin\u2013Madison", 
          "id": "https://www.grid.ac/institutes/grid.14003.36", 
          "name": [
            "Center for Limnology, University of Wisconsin, Madison, Wisconsin, 53706, USA, US"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Peterson", 
        "givenName": "Garry D.", 
        "id": "sg:person.01254246074.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01254246074.36"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.2307/2937313", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000490955"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1600-0587.2000.tb00263.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001368868"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0304-3800(00)00368-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002029703"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1890/1051-0761(1998)008[0411:spitmf]2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003552324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s100219900092", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006030198", 
          "https://doi.org/10.1007/s100219900092"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1007423329", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-009-1499-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007423329", 
          "https://doi.org/10.1007/978-94-009-1499-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-94-009-1499-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007423329", 
          "https://doi.org/10.1007/978-94-009-1499-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4319/lo.2001.46.5.1021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008403050"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s100210000012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019086650", 
          "https://doi.org/10.1007/s100210000012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00133028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019159354", 
          "https://doi.org/10.1007/bf00133028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00133028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019159354", 
          "https://doi.org/10.1007/bf00133028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s004420050045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025855362", 
          "https://doi.org/10.1007/s004420050045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00048036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026834824", 
          "https://doi.org/10.1007/bf00048036"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00048036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026834824", 
          "https://doi.org/10.1007/bf00048036"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1890/0012-9615(2000)070[0149:fshatf]2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028824754"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2937096", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029024001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0953-8984/8/37/004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035489765"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s100219900063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040204296", 
          "https://doi.org/10.1007/s100219900063"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-4371(96)00449-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041233255"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0304-3800(96)00042-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047829846"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1890/0012-9658(2000)081[1484:nasofl]2.0.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051679831"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/303194", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058610733"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.69.1629", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060805280"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.69.1629", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060805280"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.219.4590.1287", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062526280"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1939341", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069663199"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2256497", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069850088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2261510", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069854580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2265657", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069854925"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/3545196", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070367184"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2002-06", 
    "datePublishedReg": "2002-06-01", 
    "description": " Landscapes are strongly shaped by the degree of interaction between pattern and process. This paper examines how ecological memory, the degree to which an ecological process is shaped by its past modifications of a landscape, influences landscape dynamics. I use a simulation model to examine how ecological memory shapes the landscape dynamics produced by the interaction of vegetative regrowth and fire. The model illustrated that increased ecological memory increased the strength and spatial extent of landscape pattern. The extent of these changes depended upon the relative rates of vegetative recovery and fire initiation. When ecological memory is strong, landscape pattern is persistent; pattern tends to be maintained rather than destroyed by fire. The generality of the simulation model suggests that these results may also apply to disturbance processes other than fire. The existence of ecological memory in ecosystems may allow processes to produce ecological pattern that can entrain other ecosystem variables. The methods presented in this paper to analyze pattern in model ecosystems could be used to detect such pattern in actual ecosystems.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10021-001-0077-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1023054", 
        "issn": [
          "1432-9840", 
          "1435-0629"
        ], 
        "name": "Ecosystems", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "5"
      }
    ], 
    "name": "Contagious Disturbance, Ecological Memory, and the Emergence of Landscape Pattern", 
    "pagination": "329-338", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "63e8b395f494c8e251d5944e58746e58cc1f5f4d83e02a9b6ac4cf872a53d9c9"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10021-001-0077-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1020969233"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10021-001-0077-1", 
      "https://app.dimensions.ai/details/publication/pub.1020969233"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:54", 
    "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_8700_00000488.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s10021-001-0077-1"
  }
]
 

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/s10021-001-0077-1'

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/s10021-001-0077-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10021-001-0077-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10021-001-0077-1'


 

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

148 TRIPLES      21 PREDICATES      54 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10021-001-0077-1 schema:about anzsrc-for:05
2 anzsrc-for:0502
3 schema:author N2e2590b99e6540e2a66fe2b8562f67e3
4 schema:citation sg:pub.10.1007/978-94-009-1499-5
5 sg:pub.10.1007/bf00048036
6 sg:pub.10.1007/bf00133028
7 sg:pub.10.1007/s004420050045
8 sg:pub.10.1007/s100210000012
9 sg:pub.10.1007/s100219900063
10 sg:pub.10.1007/s100219900092
11 https://app.dimensions.ai/details/publication/pub.1007423329
12 https://doi.org/10.1016/s0304-3800(00)00368-9
13 https://doi.org/10.1016/s0304-3800(96)00042-7
14 https://doi.org/10.1016/s0378-4371(96)00449-9
15 https://doi.org/10.1086/303194
16 https://doi.org/10.1088/0953-8984/8/37/004
17 https://doi.org/10.1103/physrevlett.69.1629
18 https://doi.org/10.1111/j.1600-0587.2000.tb00263.x
19 https://doi.org/10.1126/science.219.4590.1287
20 https://doi.org/10.1890/0012-9615(2000)070[0149:fshatf]2.0.co;2
21 https://doi.org/10.1890/0012-9658(2000)081[1484:nasofl]2.0.co;2
22 https://doi.org/10.1890/1051-0761(1998)008[0411:spitmf]2.0.co;2
23 https://doi.org/10.2307/1939341
24 https://doi.org/10.2307/2256497
25 https://doi.org/10.2307/2261510
26 https://doi.org/10.2307/2265657
27 https://doi.org/10.2307/2937096
28 https://doi.org/10.2307/2937313
29 https://doi.org/10.2307/3545196
30 https://doi.org/10.4319/lo.2001.46.5.1021
31 schema:datePublished 2002-06
32 schema:datePublishedReg 2002-06-01
33 schema:description Landscapes are strongly shaped by the degree of interaction between pattern and process. This paper examines how ecological memory, the degree to which an ecological process is shaped by its past modifications of a landscape, influences landscape dynamics. I use a simulation model to examine how ecological memory shapes the landscape dynamics produced by the interaction of vegetative regrowth and fire. The model illustrated that increased ecological memory increased the strength and spatial extent of landscape pattern. The extent of these changes depended upon the relative rates of vegetative recovery and fire initiation. When ecological memory is strong, landscape pattern is persistent; pattern tends to be maintained rather than destroyed by fire. The generality of the simulation model suggests that these results may also apply to disturbance processes other than fire. The existence of ecological memory in ecosystems may allow processes to produce ecological pattern that can entrain other ecosystem variables. The methods presented in this paper to analyze pattern in model ecosystems could be used to detect such pattern in actual ecosystems.
34 schema:genre research_article
35 schema:inLanguage en
36 schema:isAccessibleForFree false
37 schema:isPartOf N2e8475d097a34748b36fbbfb9b13e842
38 N8804b043e99e46ec98c83efd125cac27
39 sg:journal.1023054
40 schema:name Contagious Disturbance, Ecological Memory, and the Emergence of Landscape Pattern
41 schema:pagination 329-338
42 schema:productId N09129dc20e614b46a9d3db2aa9511e3b
43 N3569e8749c7446c78dbc489ff810626f
44 Ne67c1b6bbeb64e55a5bc0b3d2d825679
45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020969233
46 https://doi.org/10.1007/s10021-001-0077-1
47 schema:sdDatePublished 2019-04-11T01:54
48 schema:sdLicense https://scigraph.springernature.com/explorer/license/
49 schema:sdPublisher N63be7d4ab2f1443588d69b184e655be8
50 schema:url http://link.springer.com/10.1007/s10021-001-0077-1
51 sgo:license sg:explorer/license/
52 sgo:sdDataset articles
53 rdf:type schema:ScholarlyArticle
54 N09129dc20e614b46a9d3db2aa9511e3b schema:name doi
55 schema:value 10.1007/s10021-001-0077-1
56 rdf:type schema:PropertyValue
57 N2e2590b99e6540e2a66fe2b8562f67e3 rdf:first sg:person.01254246074.36
58 rdf:rest rdf:nil
59 N2e8475d097a34748b36fbbfb9b13e842 schema:volumeNumber 5
60 rdf:type schema:PublicationVolume
61 N3569e8749c7446c78dbc489ff810626f schema:name dimensions_id
62 schema:value pub.1020969233
63 rdf:type schema:PropertyValue
64 N63be7d4ab2f1443588d69b184e655be8 schema:name Springer Nature - SN SciGraph project
65 rdf:type schema:Organization
66 N8804b043e99e46ec98c83efd125cac27 schema:issueNumber 4
67 rdf:type schema:PublicationIssue
68 Ne67c1b6bbeb64e55a5bc0b3d2d825679 schema:name readcube_id
69 schema:value 63e8b395f494c8e251d5944e58746e58cc1f5f4d83e02a9b6ac4cf872a53d9c9
70 rdf:type schema:PropertyValue
71 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
72 schema:name Environmental Sciences
73 rdf:type schema:DefinedTerm
74 anzsrc-for:0502 schema:inDefinedTermSet anzsrc-for:
75 schema:name Environmental Science and Management
76 rdf:type schema:DefinedTerm
77 sg:journal.1023054 schema:issn 1432-9840
78 1435-0629
79 schema:name Ecosystems
80 rdf:type schema:Periodical
81 sg:person.01254246074.36 schema:affiliation https://www.grid.ac/institutes/grid.14003.36
82 schema:familyName Peterson
83 schema:givenName Garry D.
84 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01254246074.36
85 rdf:type schema:Person
86 sg:pub.10.1007/978-94-009-1499-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007423329
87 https://doi.org/10.1007/978-94-009-1499-5
88 rdf:type schema:CreativeWork
89 sg:pub.10.1007/bf00048036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026834824
90 https://doi.org/10.1007/bf00048036
91 rdf:type schema:CreativeWork
92 sg:pub.10.1007/bf00133028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019159354
93 https://doi.org/10.1007/bf00133028
94 rdf:type schema:CreativeWork
95 sg:pub.10.1007/s004420050045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025855362
96 https://doi.org/10.1007/s004420050045
97 rdf:type schema:CreativeWork
98 sg:pub.10.1007/s100210000012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019086650
99 https://doi.org/10.1007/s100210000012
100 rdf:type schema:CreativeWork
101 sg:pub.10.1007/s100219900063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040204296
102 https://doi.org/10.1007/s100219900063
103 rdf:type schema:CreativeWork
104 sg:pub.10.1007/s100219900092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006030198
105 https://doi.org/10.1007/s100219900092
106 rdf:type schema:CreativeWork
107 https://app.dimensions.ai/details/publication/pub.1007423329 schema:CreativeWork
108 https://doi.org/10.1016/s0304-3800(00)00368-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002029703
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1016/s0304-3800(96)00042-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047829846
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1016/s0378-4371(96)00449-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041233255
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1086/303194 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058610733
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1088/0953-8984/8/37/004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035489765
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1103/physrevlett.69.1629 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060805280
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1111/j.1600-0587.2000.tb00263.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001368868
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1126/science.219.4590.1287 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062526280
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1890/0012-9615(2000)070[0149:fshatf]2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028824754
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1890/0012-9658(2000)081[1484:nasofl]2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051679831
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1890/1051-0761(1998)008[0411:spitmf]2.0.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003552324
129 rdf:type schema:CreativeWork
130 https://doi.org/10.2307/1939341 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069663199
131 rdf:type schema:CreativeWork
132 https://doi.org/10.2307/2256497 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069850088
133 rdf:type schema:CreativeWork
134 https://doi.org/10.2307/2261510 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069854580
135 rdf:type schema:CreativeWork
136 https://doi.org/10.2307/2265657 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069854925
137 rdf:type schema:CreativeWork
138 https://doi.org/10.2307/2937096 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029024001
139 rdf:type schema:CreativeWork
140 https://doi.org/10.2307/2937313 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000490955
141 rdf:type schema:CreativeWork
142 https://doi.org/10.2307/3545196 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070367184
143 rdf:type schema:CreativeWork
144 https://doi.org/10.4319/lo.2001.46.5.1021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008403050
145 rdf:type schema:CreativeWork
146 https://www.grid.ac/institutes/grid.14003.36 schema:alternateName University of Wisconsin–Madison
147 schema:name Center for Limnology, University of Wisconsin, Madison, Wisconsin, 53706, USA, US
148 rdf:type schema:Organization
 




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


...