Succession after stand replacing disturbances by fire, wind throw, and insects in the dark Taiga of Central Siberia View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2005-11

AUTHORS

E.-D. Schulze, C. Wirth, D. Mollicone, W. Ziegler

ABSTRACT

The dark taiga of Siberia is a boreal vegetation dominated by Picea obovata, Abies sibirica, and Pinus sibirica during the late succession. This paper investigates the population and age structure of 18 stands representing different stages after fire, wind throw, and insect damage. To our knowledge, this is the first time that the forest dynamics of the Siberian dark taiga is described quantitatively in terms of succession, and age after disturbance, stand density, and basal area. The basis for the curve-linear age/diameter relation of trees is being analyzed. (1) After a stand-replacing fire Betula dominates (4,000 trees) for about 70 years. Although tree density of Betula decreases rapidly, basal area (BA) reached >30 m2/ha after 40 years. (2) After fire, Abies, Picea, and Pinus establish at the same time as Betula, but grow slower, continue to gain height and eventually replace Betula. Abies has the highest seedling number (about 1,000 trees/ha) and the highest mortality. Picea establishes with 100-400 trees/ha, it has less mortality, but reached the highest age (>350 years, DBH 51 cm). Picea is the most important indicator for successional age after disturbance. Pinus sibirica is an accompanying species. The widely distributed "mixed boreal forest" is a stage about 120 years after fire reaching a BA of >40 m2/ha. (3) Wind throw and insect damage occur in old conifer stands. Betula does not establish. Abies initially dominates (2,000-6,000 trees/ha), but Picea becomes dominant after 150-200 years since Abies is shorter lived. (4) Without disturbance the forest develops into a pure coniferous canopy (BA 40-50 m2/ha) with a self-regenerating density of 1,000 coniferous canopy trees/ha. There is no collapse of old-growth stands. The dark taiga may serve as an example in which a limited set to tree species may gain dominance under certain disturbance conditions without ever getting monotypic. More... »

PAGES

77-88

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00442-005-0173-6

DOI

http://dx.doi.org/10.1007/s00442-005-0173-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1002096458

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16091969


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/2008/0705", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Forestry Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/07", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Agricultural and Veterinary Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Fires", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Insecta", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Siberia", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Species Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Trees", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Wind", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Max-Planck Institute of Biogeochemistry, Box 100164, 07701, Jena, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schulze", 
        "givenName": "E.-D.", 
        "id": "sg:person.0654066337.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654066337.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Princeton University", 
          "id": "https://www.grid.ac/institutes/grid.16750.35", 
          "name": [
            "Max-Planck Institute of Biogeochemistry, Box 100164, 07701, Jena, Germany", 
            "Department of Ecology and Evolutionary Biology, Princeton University, 08544, Princeton, NJ, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wirth", 
        "givenName": "C.", 
        "id": "sg:person.0741022751.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0741022751.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Joint Research Centre", 
          "id": "https://www.grid.ac/institutes/grid.434554.7", 
          "name": [
            "Global Vegetation Unit, Joint Research Centre, Ispra, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mollicone", 
        "givenName": "D.", 
        "id": "sg:person.014055206200.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014055206200.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Max-Planck Institute of Biogeochemistry, Box 100164, 07701, Jena, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ziegler", 
        "givenName": "W.", 
        "id": "sg:person.01026361101.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01026361101.68"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1034/j.1600-0889.2002.01342.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004544608"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-1127(02)00654-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005297526"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-1127(02)00654-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005297526"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1654-1103.2003.tb02204.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006954997"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/3237273", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008435788"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-1127(01)00500-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014247020"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/x97-144", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014431712"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2937063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014736785"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00044848", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020754645", 
          "https://doi.org/10.1007/bf00044848"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00044848", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020754645", 
          "https://doi.org/10.1007/bf00044848"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/x96-182", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021936528"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/x26-097", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023533906"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.68.6.1246", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023553151"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1034/j.1600-0889.2002.01338.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025080112"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2486.1999.00266.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035125879"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2486.1999.00266.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035125879"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/3237365", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036827709"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/3236549", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044009761"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/3236549", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044009761"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/3236549", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044009761"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.0022-0477.2001.00646.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044404133"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1034/j.1600-0889.2002.01351.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045053781"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/x96-148", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047690130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/x98-112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051443715"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0033-5894(73)90009-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052244281"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/x01-148", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052526966"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/283138", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058593261"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/286203", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058596326"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1934235", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069658447"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1937688", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069661655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1943512", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069665238"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2996781", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102607857"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2005-11", 
    "datePublishedReg": "2005-11-01", 
    "description": "The dark taiga of Siberia is a boreal vegetation dominated by Picea obovata, Abies sibirica, and Pinus sibirica during the late succession. This paper investigates the population and age structure of 18 stands representing different stages after fire, wind throw, and insect damage. To our knowledge, this is the first time that the forest dynamics of the Siberian dark taiga is described quantitatively in terms of succession, and age after disturbance, stand density, and basal area. The basis for the curve-linear age/diameter relation of trees is being analyzed. (1) After a stand-replacing fire Betula dominates (4,000 trees) for about 70 years. Although tree density of Betula decreases rapidly, basal area (BA) reached >30 m2/ha after 40 years. (2) After fire, Abies, Picea, and Pinus establish at the same time as Betula, but grow slower, continue to gain height and eventually replace Betula. Abies has the highest seedling number (about 1,000 trees/ha) and the highest mortality. Picea establishes with 100-400 trees/ha, it has less mortality, but reached the highest age (>350 years, DBH 51 cm). Picea is the most important indicator for successional age after disturbance. Pinus sibirica is an accompanying species. The widely distributed \"mixed boreal forest\" is a stage about 120 years after fire reaching a BA of >40 m2/ha. (3) Wind throw and insect damage occur in old conifer stands. Betula does not establish. Abies initially dominates (2,000-6,000 trees/ha), but Picea becomes dominant after 150-200 years since Abies is shorter lived. (4) Without disturbance the forest develops into a pure coniferous canopy (BA 40-50 m2/ha) with a self-regenerating density of 1,000 coniferous canopy trees/ha. There is no collapse of old-growth stands. The dark taiga may serve as an example in which a limited set to tree species may gain dominance under certain disturbance conditions without ever getting monotypic.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00442-005-0173-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.3731677", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3756677", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1009586", 
        "issn": [
          "0029-8549", 
          "1432-1939"
        ], 
        "name": "Oecologia", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "146"
      }
    ], 
    "name": "Succession after stand replacing disturbances by fire, wind throw, and insects in the dark Taiga of Central Siberia", 
    "pagination": "77-88", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "09fbf98a63b50714896d4bbcb4bb3eb20df8d42a6a8a2b5a8783dd0a900aa36f"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "16091969"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0150372"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00442-005-0173-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1002096458"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00442-005-0173-6", 
      "https://app.dimensions.ai/details/publication/pub.1002096458"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:30", 
    "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/v90/0000000357_0000000357/records_99305_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00442-005-0173-6"
  }
]
 

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/s00442-005-0173-6'

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/s00442-005-0173-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00442-005-0173-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00442-005-0173-6'


 

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

212 TRIPLES      21 PREDICATES      63 URIs      28 LITERALS      16 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00442-005-0173-6 schema:about N17f5e69330d34d2eb1c524ddd84b83a3
2 N1bab41e998f345bba2144f237b95e420
3 N6ebe394c96b8483ca4c67773ede67d3c
4 Nb6a857d926b34259a9205f83fe55af35
5 Nb9e6b91d9b354ad8a8320e0241fe2cb3
6 Ndd59f8ab2d734879be2778ceaed01b70
7 Nff2185f0c94a42a9b6889b852a4e2a61
8 anzsrc-for:07
9 anzsrc-for:0705
10 schema:author N89c25b73cdde49b384be006175b65dab
11 schema:citation sg:pub.10.1007/bf00044848
12 https://doi.org/10.1016/0033-5894(73)90009-4
13 https://doi.org/10.1016/s0378-1127(01)00500-x
14 https://doi.org/10.1016/s0378-1127(02)00654-0
15 https://doi.org/10.1034/j.1600-0889.2002.01338.x
16 https://doi.org/10.1034/j.1600-0889.2002.01342.x
17 https://doi.org/10.1034/j.1600-0889.2002.01351.x
18 https://doi.org/10.1046/j.0022-0477.2001.00646.x
19 https://doi.org/10.1046/j.1365-2486.1999.00266.x
20 https://doi.org/10.1073/pnas.68.6.1246
21 https://doi.org/10.1086/283138
22 https://doi.org/10.1086/286203
23 https://doi.org/10.1111/j.1654-1103.2003.tb02204.x
24 https://doi.org/10.1139/x01-148
25 https://doi.org/10.1139/x26-097
26 https://doi.org/10.1139/x96-148
27 https://doi.org/10.1139/x96-182
28 https://doi.org/10.1139/x97-144
29 https://doi.org/10.1139/x98-112
30 https://doi.org/10.2307/1934235
31 https://doi.org/10.2307/1937688
32 https://doi.org/10.2307/1943512
33 https://doi.org/10.2307/2937063
34 https://doi.org/10.2307/2996781
35 https://doi.org/10.2307/3236549
36 https://doi.org/10.2307/3237273
37 https://doi.org/10.2307/3237365
38 schema:datePublished 2005-11
39 schema:datePublishedReg 2005-11-01
40 schema:description The dark taiga of Siberia is a boreal vegetation dominated by Picea obovata, Abies sibirica, and Pinus sibirica during the late succession. This paper investigates the population and age structure of 18 stands representing different stages after fire, wind throw, and insect damage. To our knowledge, this is the first time that the forest dynamics of the Siberian dark taiga is described quantitatively in terms of succession, and age after disturbance, stand density, and basal area. The basis for the curve-linear age/diameter relation of trees is being analyzed. (1) After a stand-replacing fire Betula dominates (4,000 trees) for about 70 years. Although tree density of Betula decreases rapidly, basal area (BA) reached >30 m2/ha after 40 years. (2) After fire, Abies, Picea, and Pinus establish at the same time as Betula, but grow slower, continue to gain height and eventually replace Betula. Abies has the highest seedling number (about 1,000 trees/ha) and the highest mortality. Picea establishes with 100-400 trees/ha, it has less mortality, but reached the highest age (>350 years, DBH 51 cm). Picea is the most important indicator for successional age after disturbance. Pinus sibirica is an accompanying species. The widely distributed "mixed boreal forest" is a stage about 120 years after fire reaching a BA of >40 m2/ha. (3) Wind throw and insect damage occur in old conifer stands. Betula does not establish. Abies initially dominates (2,000-6,000 trees/ha), but Picea becomes dominant after 150-200 years since Abies is shorter lived. (4) Without disturbance the forest develops into a pure coniferous canopy (BA 40-50 m2/ha) with a self-regenerating density of 1,000 coniferous canopy trees/ha. There is no collapse of old-growth stands. The dark taiga may serve as an example in which a limited set to tree species may gain dominance under certain disturbance conditions without ever getting monotypic.
41 schema:genre research_article
42 schema:inLanguage en
43 schema:isAccessibleForFree false
44 schema:isPartOf N127a8c3f5ee746bea7263311262c122b
45 N88cc598daedc4f12b10ca126f0945c61
46 sg:journal.1009586
47 schema:name Succession after stand replacing disturbances by fire, wind throw, and insects in the dark Taiga of Central Siberia
48 schema:pagination 77-88
49 schema:productId N0a193230916f492692ae816ba99e52e7
50 N1d706bed9bb647f9a6a5c211ff374628
51 N2e002fc0c90b48f5a0416d0a19fb1381
52 N67f3dbd8ed2041a9a455bd4d626cb0a6
53 Nf2059b8877ca4a5ab3041de057bac2e7
54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002096458
55 https://doi.org/10.1007/s00442-005-0173-6
56 schema:sdDatePublished 2019-04-11T11:30
57 schema:sdLicense https://scigraph.springernature.com/explorer/license/
58 schema:sdPublisher Nfda1f74586234b19b94a08ef196d8d06
59 schema:url http://link.springer.com/10.1007%2Fs00442-005-0173-6
60 sgo:license sg:explorer/license/
61 sgo:sdDataset articles
62 rdf:type schema:ScholarlyArticle
63 N0a193230916f492692ae816ba99e52e7 schema:name dimensions_id
64 schema:value pub.1002096458
65 rdf:type schema:PropertyValue
66 N127a8c3f5ee746bea7263311262c122b schema:volumeNumber 146
67 rdf:type schema:PublicationVolume
68 N17f5e69330d34d2eb1c524ddd84b83a3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
69 schema:name Species Specificity
70 rdf:type schema:DefinedTerm
71 N1bab41e998f345bba2144f237b95e420 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Trees
73 rdf:type schema:DefinedTerm
74 N1d706bed9bb647f9a6a5c211ff374628 schema:name nlm_unique_id
75 schema:value 0150372
76 rdf:type schema:PropertyValue
77 N2e002fc0c90b48f5a0416d0a19fb1381 schema:name pubmed_id
78 schema:value 16091969
79 rdf:type schema:PropertyValue
80 N45302aed3108494bb7c221098eab4900 rdf:first sg:person.01026361101.68
81 rdf:rest rdf:nil
82 N67f3dbd8ed2041a9a455bd4d626cb0a6 schema:name readcube_id
83 schema:value 09fbf98a63b50714896d4bbcb4bb3eb20df8d42a6a8a2b5a8783dd0a900aa36f
84 rdf:type schema:PropertyValue
85 N6ebe394c96b8483ca4c67773ede67d3c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Animals
87 rdf:type schema:DefinedTerm
88 N88cc598daedc4f12b10ca126f0945c61 schema:issueNumber 1
89 rdf:type schema:PublicationIssue
90 N89c25b73cdde49b384be006175b65dab rdf:first sg:person.0654066337.20
91 rdf:rest N9126b8b605b54c4fb1facbe5e6941a40
92 N9126b8b605b54c4fb1facbe5e6941a40 rdf:first sg:person.0741022751.85
93 rdf:rest Nc1fbc1935e474c8f9d71a3a899d62a2f
94 Nb1c46022e7754c3395577f0132d3cbd7 schema:name Max-Planck Institute of Biogeochemistry, Box 100164, 07701, Jena, Germany
95 rdf:type schema:Organization
96 Nb6a857d926b34259a9205f83fe55af35 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Fires
98 rdf:type schema:DefinedTerm
99 Nb9e6b91d9b354ad8a8320e0241fe2cb3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Siberia
101 rdf:type schema:DefinedTerm
102 Nbdbc39cf6bbd47e191cc9bd733887260 schema:name Max-Planck Institute of Biogeochemistry, Box 100164, 07701, Jena, Germany
103 rdf:type schema:Organization
104 Nc1fbc1935e474c8f9d71a3a899d62a2f rdf:first sg:person.014055206200.52
105 rdf:rest N45302aed3108494bb7c221098eab4900
106 Ndd59f8ab2d734879be2778ceaed01b70 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Insecta
108 rdf:type schema:DefinedTerm
109 Nf2059b8877ca4a5ab3041de057bac2e7 schema:name doi
110 schema:value 10.1007/s00442-005-0173-6
111 rdf:type schema:PropertyValue
112 Nfda1f74586234b19b94a08ef196d8d06 schema:name Springer Nature - SN SciGraph project
113 rdf:type schema:Organization
114 Nff2185f0c94a42a9b6889b852a4e2a61 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Wind
116 rdf:type schema:DefinedTerm
117 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
118 schema:name Agricultural and Veterinary Sciences
119 rdf:type schema:DefinedTerm
120 anzsrc-for:0705 schema:inDefinedTermSet anzsrc-for:
121 schema:name Forestry Sciences
122 rdf:type schema:DefinedTerm
123 sg:grant.3731677 http://pending.schema.org/fundedItem sg:pub.10.1007/s00442-005-0173-6
124 rdf:type schema:MonetaryGrant
125 sg:grant.3756677 http://pending.schema.org/fundedItem sg:pub.10.1007/s00442-005-0173-6
126 rdf:type schema:MonetaryGrant
127 sg:journal.1009586 schema:issn 0029-8549
128 1432-1939
129 schema:name Oecologia
130 rdf:type schema:Periodical
131 sg:person.01026361101.68 schema:affiliation Nbdbc39cf6bbd47e191cc9bd733887260
132 schema:familyName Ziegler
133 schema:givenName W.
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01026361101.68
135 rdf:type schema:Person
136 sg:person.014055206200.52 schema:affiliation https://www.grid.ac/institutes/grid.434554.7
137 schema:familyName Mollicone
138 schema:givenName D.
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014055206200.52
140 rdf:type schema:Person
141 sg:person.0654066337.20 schema:affiliation Nb1c46022e7754c3395577f0132d3cbd7
142 schema:familyName Schulze
143 schema:givenName E.-D.
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654066337.20
145 rdf:type schema:Person
146 sg:person.0741022751.85 schema:affiliation https://www.grid.ac/institutes/grid.16750.35
147 schema:familyName Wirth
148 schema:givenName C.
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0741022751.85
150 rdf:type schema:Person
151 sg:pub.10.1007/bf00044848 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020754645
152 https://doi.org/10.1007/bf00044848
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/0033-5894(73)90009-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052244281
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/s0378-1127(01)00500-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1014247020
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/s0378-1127(02)00654-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005297526
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1034/j.1600-0889.2002.01338.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1025080112
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1034/j.1600-0889.2002.01342.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004544608
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1034/j.1600-0889.2002.01351.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045053781
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1046/j.0022-0477.2001.00646.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044404133
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1046/j.1365-2486.1999.00266.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1035125879
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1073/pnas.68.6.1246 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023553151
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1086/283138 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058593261
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1086/286203 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058596326
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1111/j.1654-1103.2003.tb02204.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006954997
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1139/x01-148 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052526966
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1139/x26-097 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023533906
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1139/x96-148 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047690130
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1139/x96-182 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021936528
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1139/x97-144 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014431712
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1139/x98-112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051443715
189 rdf:type schema:CreativeWork
190 https://doi.org/10.2307/1934235 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069658447
191 rdf:type schema:CreativeWork
192 https://doi.org/10.2307/1937688 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069661655
193 rdf:type schema:CreativeWork
194 https://doi.org/10.2307/1943512 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069665238
195 rdf:type schema:CreativeWork
196 https://doi.org/10.2307/2937063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014736785
197 rdf:type schema:CreativeWork
198 https://doi.org/10.2307/2996781 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102607857
199 rdf:type schema:CreativeWork
200 https://doi.org/10.2307/3236549 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044009761
201 rdf:type schema:CreativeWork
202 https://doi.org/10.2307/3237273 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008435788
203 rdf:type schema:CreativeWork
204 https://doi.org/10.2307/3237365 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036827709
205 rdf:type schema:CreativeWork
206 https://www.grid.ac/institutes/grid.16750.35 schema:alternateName Princeton University
207 schema:name Department of Ecology and Evolutionary Biology, Princeton University, 08544, Princeton, NJ, USA
208 Max-Planck Institute of Biogeochemistry, Box 100164, 07701, Jena, Germany
209 rdf:type schema:Organization
210 https://www.grid.ac/institutes/grid.434554.7 schema:alternateName Joint Research Centre
211 schema:name Global Vegetation Unit, Joint Research Centre, Ispra, Italy
212 rdf:type schema:Organization
 




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


...