Adapting Douglas-fir forestry in Central Europe: evaluation, application, and uncertainty analysis of a genetically based model View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-08-16

AUTHORS

Debojyoti Chakraborty, Tongli Wang, Konrad Andre, Monika Konnert, Manfred J. Lexer, Christoph Matulla, Lambert Weißenbacher, Silvio Schueler

ABSTRACT

Recommendations on suitable seed sources for reforestation are usually model based and include uncertainties arising from model assumptions, parameter estimation, and future climate scenarios. Due to the long-lived nature of forests, such uncertainties need to be considered when developing guidance for managers and policy makers. We evaluate the uncertainties and apply our recently developed genetically based models, Universal Response Functions (URFs) in Austria and Germany. The URFs predict growth performance (dominant height and basal area at age 24) of Douglas-fir (Pseudotsuga menziesii [Mirbel] Franco) populations, as a function of both environmental and genetic factors. We evaluated the URFs by comparing the predicted height growth performances with observations from independent provenance trial data across Europe. Also, the sensitivity of the URF variables and the overall model uncertainty were estimated and compared to the uncertainty due to climate change projections. Model evaluation suggests that the URFs perform better in Central and Southeastern Europe compared to maritime Western Europe. Summer drought and mean annual temperature of planting sites were the most sensitive variables of the models, whereas the mean annual temperature of seed origin was the least sensitive. Model uncertainty increased with mean annual temperature of the planting site. Uncertainty due to projected future climate was found to be higher than the model uncertainty. The URFs predicted that provenance regions of southwest Germany and southeast Austria below 1500 m altitude will be suitable, whereas Pannonian east of Austria will become less suitable for growing Douglas-fir in future. Current seed stands in North America providing planting materials for Europe under the legal framework of the Organization for Economic Cooperation and Development shall continue to provide the most suitable seed material also in the future. More... »

PAGES

919-936

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10342-016-0984-5

DOI

http://dx.doi.org/10.1007/s10342-016-0984-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1048702922


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/2008/07", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Agricultural and Veterinary Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Forest and Soil Sciences, Institute of Silviculture, University of Natural Resources and Life Sciences, Vienna, Austria", 
          "id": "http://www.grid.ac/institutes/grid.5173.0", 
          "name": [
            "Department of Forest Genetics, Federal Research and Training Centre for Forest, Natural Hazards and Landscape, Vienna, Austria", 
            "Department of Forest and Soil Sciences, Institute of Silviculture, University of Natural Resources and Life Sciences, Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chakraborty", 
        "givenName": "Debojyoti", 
        "id": "sg:person.01250615377.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01250615377.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Forest and Conservation Sciences, Centre for Forest Conservation Genetics, University of British Columbia, Vancouver, Canada", 
          "id": "http://www.grid.ac/institutes/grid.17091.3e", 
          "name": [
            "Department of Forest and Conservation Sciences, Centre for Forest Conservation Genetics, University of British Columbia, Vancouver, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Tongli", 
        "id": "sg:person.0610307552.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610307552.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Central Institute for Meteorology und Geodynamics, Vienna, Austria", 
          "id": "http://www.grid.ac/institutes/grid.423520.2", 
          "name": [
            "Central Institute for Meteorology und Geodynamics, Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Andre", 
        "givenName": "Konrad", 
        "id": "sg:person.01365043777.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365043777.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Bavarian Office for Forest Seeding and Planting, Teisendorf, Germany", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Bavarian Office for Forest Seeding and Planting, Teisendorf, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Konnert", 
        "givenName": "Monika", 
        "id": "sg:person.015704056235.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015704056235.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Forest and Soil Sciences, Institute of Silviculture, University of Natural Resources and Life Sciences, Vienna, Austria", 
          "id": "http://www.grid.ac/institutes/grid.5173.0", 
          "name": [
            "Department of Forest and Soil Sciences, Institute of Silviculture, University of Natural Resources and Life Sciences, Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lexer", 
        "givenName": "Manfred J.", 
        "id": "sg:person.015000762727.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015000762727.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Central Institute for Meteorology und Geodynamics, Vienna, Austria", 
          "id": "http://www.grid.ac/institutes/grid.423520.2", 
          "name": [
            "Central Institute for Meteorology und Geodynamics, Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matulla", 
        "givenName": "Christoph", 
        "id": "sg:person.01362537560.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362537560.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Forest Genetics, Federal Research and Training Centre for Forest, Natural Hazards and Landscape, Vienna, Austria", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Forest Genetics, Federal Research and Training Centre for Forest, Natural Hazards and Landscape, Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wei\u00dfenbacher", 
        "givenName": "Lambert", 
        "id": "sg:person.015731323445.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015731323445.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Forest Genetics, Federal Research and Training Centre for Forest, Natural Hazards and Landscape, Vienna, Austria", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Forest Genetics, Federal Research and Training Centre for Forest, Natural Hazards and Landscape, Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schueler", 
        "givenName": "Silvio", 
        "id": "sg:person.01006347201.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01006347201.75"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s10584-011-0148-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021241034", 
          "https://doi.org/10.1007/s10584-011-0148-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10342-006-0116-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019394703", 
          "https://doi.org/10.1007/s10342-006-0116-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10898-012-9951-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029255118", 
          "https://doi.org/10.1007/s10898-012-9951-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11295-015-0854-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017562843", 
          "https://doi.org/10.1007/s11295-015-0854-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/3-540-27912-1_41", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052915638", 
          "https://doi.org/10.1007/3-540-27912-1_41"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s40663-015-0036-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004264276", 
          "https://doi.org/10.1186/s40663-015-0036-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/climate.2008.86", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038468832", 
          "https://doi.org/10.1038/climate.2008.86"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-08-16", 
    "datePublishedReg": "2016-08-16", 
    "description": "Recommendations on suitable seed sources for reforestation are usually model based and include uncertainties arising from model assumptions, parameter estimation, and future climate scenarios. Due to the long-lived nature of forests, such uncertainties need to be considered when developing guidance for managers and policy makers. We evaluate the uncertainties and apply our recently developed genetically based models, Universal Response Functions (URFs) in Austria and Germany. The URFs predict growth performance (dominant height and basal area at age 24) of Douglas-fir (Pseudotsuga menziesii [Mirbel] Franco) populations, as a function of both environmental and genetic factors. We evaluated the URFs by comparing the predicted height growth performances with observations from independent provenance trial data across Europe. Also, the sensitivity of the URF variables and the overall model uncertainty were estimated and compared to the uncertainty due to climate change projections. Model evaluation suggests that the URFs perform better in Central and Southeastern Europe compared to maritime Western Europe. Summer drought and mean annual temperature of planting sites were the most sensitive variables of the models, whereas the mean annual temperature of seed origin was the least sensitive. Model uncertainty increased with mean annual temperature of the planting site. Uncertainty due to projected future climate was found to be higher than the model uncertainty. The URFs predicted that provenance regions of southwest Germany and southeast Austria below 1500\u00a0m altitude will be suitable, whereas Pannonian east of Austria will become less suitable for growing Douglas-fir in future. Current seed stands in North America providing planting materials for Europe under the legal framework of the Organization for Economic Cooperation and Development shall continue to provide the most suitable seed material also in the future.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s10342-016-0984-5", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1040667", 
        "issn": [
          "1612-4669", 
          "1612-4677"
        ], 
        "name": "European Journal of Forest Research", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "135"
      }
    ], 
    "keywords": [
      "mean annual temperature", 
      "annual temperature", 
      "future climate scenarios", 
      "maritime Western Europe", 
      "model uncertainty", 
      "climate scenarios", 
      "change projections", 
      "future climate", 
      "provenance regions", 
      "nature of forests", 
      "overall model uncertainty", 
      "southeast Austria", 
      "summer drought", 
      "southwest Germany", 
      "Douglas-fir populations", 
      "Economic Cooperation", 
      "model evaluation", 
      "North America", 
      "policy makers", 
      "Southeastern Europe", 
      "Central Europe", 
      "Western Europe", 
      "uncertainty analysis", 
      "such uncertainties", 
      "growth performance", 
      "sensitive variables", 
      "uncertainty", 
      "response function", 
      "legal framework", 
      "Europe", 
      "climate", 
      "East", 
      "model assumptions", 
      "Austria", 
      "Germany", 
      "drought", 
      "temperature", 
      "Douglas-fir", 
      "makers", 
      "altitude", 
      "reforestation", 
      "variables", 
      "sites", 
      "America", 
      "origin", 
      "model", 
      "forest", 
      "projections", 
      "Central", 
      "region", 
      "future", 
      "source", 
      "managers", 
      "cooperation", 
      "scenarios", 
      "forestry", 
      "assumption", 
      "framework", 
      "parameter estimation", 
      "data", 
      "estimation", 
      "materials", 
      "planting site", 
      "nature", 
      "performance", 
      "organization", 
      "recommendations", 
      "trial data", 
      "seed origin", 
      "development", 
      "analysis", 
      "universal response functions", 
      "factors", 
      "evaluation", 
      "seed sources", 
      "guidance", 
      "sensitivity", 
      "population", 
      "function", 
      "suitable seed material", 
      "suitable seed sources", 
      "seed material", 
      "current seed", 
      "applications", 
      "seeds", 
      "observations", 
      "genetic factors", 
      "height growth performance", 
      "independent provenance trial data", 
      "provenance trial data", 
      "URF variables", 
      "Pannonian east", 
      "Adapting Douglas-fir forestry", 
      "Douglas-fir forestry"
    ], 
    "name": "Adapting Douglas-fir forestry in Central Europe: evaluation, application, and uncertainty analysis of a genetically based model", 
    "pagination": "919-936", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1048702922"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10342-016-0984-5"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10342-016-0984-5", 
      "https://app.dimensions.ai/details/publication/pub.1048702922"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-12-01T19:36", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_698.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s10342-016-0984-5"
  }
]
 

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/s10342-016-0984-5'

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/s10342-016-0984-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10342-016-0984-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10342-016-0984-5'


 

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

241 TRIPLES      22 PREDICATES      126 URIs      111 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10342-016-0984-5 schema:about anzsrc-for:07
2 anzsrc-for:0705
3 schema:author N1251a5c3c7e04816b6859515cdee02c0
4 schema:citation sg:pub.10.1007/3-540-27912-1_41
5 sg:pub.10.1007/s10342-006-0116-8
6 sg:pub.10.1007/s10584-011-0148-z
7 sg:pub.10.1007/s10898-012-9951-y
8 sg:pub.10.1007/s11295-015-0854-1
9 sg:pub.10.1038/climate.2008.86
10 sg:pub.10.1186/s40663-015-0036-5
11 schema:datePublished 2016-08-16
12 schema:datePublishedReg 2016-08-16
13 schema:description Recommendations on suitable seed sources for reforestation are usually model based and include uncertainties arising from model assumptions, parameter estimation, and future climate scenarios. Due to the long-lived nature of forests, such uncertainties need to be considered when developing guidance for managers and policy makers. We evaluate the uncertainties and apply our recently developed genetically based models, Universal Response Functions (URFs) in Austria and Germany. The URFs predict growth performance (dominant height and basal area at age 24) of Douglas-fir (Pseudotsuga menziesii [Mirbel] Franco) populations, as a function of both environmental and genetic factors. We evaluated the URFs by comparing the predicted height growth performances with observations from independent provenance trial data across Europe. Also, the sensitivity of the URF variables and the overall model uncertainty were estimated and compared to the uncertainty due to climate change projections. Model evaluation suggests that the URFs perform better in Central and Southeastern Europe compared to maritime Western Europe. Summer drought and mean annual temperature of planting sites were the most sensitive variables of the models, whereas the mean annual temperature of seed origin was the least sensitive. Model uncertainty increased with mean annual temperature of the planting site. Uncertainty due to projected future climate was found to be higher than the model uncertainty. The URFs predicted that provenance regions of southwest Germany and southeast Austria below 1500 m altitude will be suitable, whereas Pannonian east of Austria will become less suitable for growing Douglas-fir in future. Current seed stands in North America providing planting materials for Europe under the legal framework of the Organization for Economic Cooperation and Development shall continue to provide the most suitable seed material also in the future.
14 schema:genre article
15 schema:inLanguage en
16 schema:isAccessibleForFree false
17 schema:isPartOf N1d4ceed341904aaaa2a5485b58ff4087
18 Naa13dc0cc7d545949f7d0322b09fa0ca
19 sg:journal.1040667
20 schema:keywords Adapting Douglas-fir forestry
21 America
22 Austria
23 Central
24 Central Europe
25 Douglas-fir
26 Douglas-fir forestry
27 Douglas-fir populations
28 East
29 Economic Cooperation
30 Europe
31 Germany
32 North America
33 Pannonian east
34 Southeastern Europe
35 URF variables
36 Western Europe
37 altitude
38 analysis
39 annual temperature
40 applications
41 assumption
42 change projections
43 climate
44 climate scenarios
45 cooperation
46 current seed
47 data
48 development
49 drought
50 estimation
51 evaluation
52 factors
53 forest
54 forestry
55 framework
56 function
57 future
58 future climate
59 future climate scenarios
60 genetic factors
61 growth performance
62 guidance
63 height growth performance
64 independent provenance trial data
65 legal framework
66 makers
67 managers
68 maritime Western Europe
69 materials
70 mean annual temperature
71 model
72 model assumptions
73 model evaluation
74 model uncertainty
75 nature
76 nature of forests
77 observations
78 organization
79 origin
80 overall model uncertainty
81 parameter estimation
82 performance
83 planting site
84 policy makers
85 population
86 projections
87 provenance regions
88 provenance trial data
89 recommendations
90 reforestation
91 region
92 response function
93 scenarios
94 seed material
95 seed origin
96 seed sources
97 seeds
98 sensitive variables
99 sensitivity
100 sites
101 source
102 southeast Austria
103 southwest Germany
104 such uncertainties
105 suitable seed material
106 suitable seed sources
107 summer drought
108 temperature
109 trial data
110 uncertainty
111 uncertainty analysis
112 universal response functions
113 variables
114 schema:name Adapting Douglas-fir forestry in Central Europe: evaluation, application, and uncertainty analysis of a genetically based model
115 schema:pagination 919-936
116 schema:productId N5cd857fe8b444d57ae1774ae2ee07433
117 Nc6ba4ab7bbcb4f92bf996712a543261b
118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048702922
119 https://doi.org/10.1007/s10342-016-0984-5
120 schema:sdDatePublished 2021-12-01T19:36
121 schema:sdLicense https://scigraph.springernature.com/explorer/license/
122 schema:sdPublisher N9fadb4f77be5486bac2ca816349cf20c
123 schema:url https://doi.org/10.1007/s10342-016-0984-5
124 sgo:license sg:explorer/license/
125 sgo:sdDataset articles
126 rdf:type schema:ScholarlyArticle
127 N1251a5c3c7e04816b6859515cdee02c0 rdf:first sg:person.01250615377.23
128 rdf:rest N19df0fb8a8c6490bb3a521e03d1763ee
129 N19df0fb8a8c6490bb3a521e03d1763ee rdf:first sg:person.0610307552.05
130 rdf:rest N1d32e3e415544c189a92a7ed1ec04e72
131 N1a719149d510460bb52b85a60a562213 rdf:first sg:person.01362537560.18
132 rdf:rest N7ecbd745568c442eabba661aadc788c2
133 N1d32e3e415544c189a92a7ed1ec04e72 rdf:first sg:person.01365043777.46
134 rdf:rest N8162633b564245b0a2f303f617452238
135 N1d4ceed341904aaaa2a5485b58ff4087 schema:volumeNumber 135
136 rdf:type schema:PublicationVolume
137 N5cd857fe8b444d57ae1774ae2ee07433 schema:name dimensions_id
138 schema:value pub.1048702922
139 rdf:type schema:PropertyValue
140 N7ecbd745568c442eabba661aadc788c2 rdf:first sg:person.015731323445.24
141 rdf:rest Nbe232e2a741646da8130253f3551725d
142 N8162633b564245b0a2f303f617452238 rdf:first sg:person.015704056235.04
143 rdf:rest Nd7fe7b32acb14ddeb644f48706a63800
144 N9fadb4f77be5486bac2ca816349cf20c schema:name Springer Nature - SN SciGraph project
145 rdf:type schema:Organization
146 Naa13dc0cc7d545949f7d0322b09fa0ca schema:issueNumber 5
147 rdf:type schema:PublicationIssue
148 Nbe232e2a741646da8130253f3551725d rdf:first sg:person.01006347201.75
149 rdf:rest rdf:nil
150 Nc6ba4ab7bbcb4f92bf996712a543261b schema:name doi
151 schema:value 10.1007/s10342-016-0984-5
152 rdf:type schema:PropertyValue
153 Nd7fe7b32acb14ddeb644f48706a63800 rdf:first sg:person.015000762727.04
154 rdf:rest N1a719149d510460bb52b85a60a562213
155 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
156 schema:name Agricultural and Veterinary Sciences
157 rdf:type schema:DefinedTerm
158 anzsrc-for:0705 schema:inDefinedTermSet anzsrc-for:
159 schema:name Forestry Sciences
160 rdf:type schema:DefinedTerm
161 sg:journal.1040667 schema:issn 1612-4669
162 1612-4677
163 schema:name European Journal of Forest Research
164 schema:publisher Springer Nature
165 rdf:type schema:Periodical
166 sg:person.01006347201.75 schema:affiliation grid-institutes:None
167 schema:familyName Schueler
168 schema:givenName Silvio
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01006347201.75
170 rdf:type schema:Person
171 sg:person.01250615377.23 schema:affiliation grid-institutes:grid.5173.0
172 schema:familyName Chakraborty
173 schema:givenName Debojyoti
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01250615377.23
175 rdf:type schema:Person
176 sg:person.01362537560.18 schema:affiliation grid-institutes:grid.423520.2
177 schema:familyName Matulla
178 schema:givenName Christoph
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362537560.18
180 rdf:type schema:Person
181 sg:person.01365043777.46 schema:affiliation grid-institutes:grid.423520.2
182 schema:familyName Andre
183 schema:givenName Konrad
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365043777.46
185 rdf:type schema:Person
186 sg:person.015000762727.04 schema:affiliation grid-institutes:grid.5173.0
187 schema:familyName Lexer
188 schema:givenName Manfred J.
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015000762727.04
190 rdf:type schema:Person
191 sg:person.015704056235.04 schema:affiliation grid-institutes:None
192 schema:familyName Konnert
193 schema:givenName Monika
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015704056235.04
195 rdf:type schema:Person
196 sg:person.015731323445.24 schema:affiliation grid-institutes:None
197 schema:familyName Weißenbacher
198 schema:givenName Lambert
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015731323445.24
200 rdf:type schema:Person
201 sg:person.0610307552.05 schema:affiliation grid-institutes:grid.17091.3e
202 schema:familyName Wang
203 schema:givenName Tongli
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610307552.05
205 rdf:type schema:Person
206 sg:pub.10.1007/3-540-27912-1_41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052915638
207 https://doi.org/10.1007/3-540-27912-1_41
208 rdf:type schema:CreativeWork
209 sg:pub.10.1007/s10342-006-0116-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019394703
210 https://doi.org/10.1007/s10342-006-0116-8
211 rdf:type schema:CreativeWork
212 sg:pub.10.1007/s10584-011-0148-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1021241034
213 https://doi.org/10.1007/s10584-011-0148-z
214 rdf:type schema:CreativeWork
215 sg:pub.10.1007/s10898-012-9951-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1029255118
216 https://doi.org/10.1007/s10898-012-9951-y
217 rdf:type schema:CreativeWork
218 sg:pub.10.1007/s11295-015-0854-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017562843
219 https://doi.org/10.1007/s11295-015-0854-1
220 rdf:type schema:CreativeWork
221 sg:pub.10.1038/climate.2008.86 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038468832
222 https://doi.org/10.1038/climate.2008.86
223 rdf:type schema:CreativeWork
224 sg:pub.10.1186/s40663-015-0036-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004264276
225 https://doi.org/10.1186/s40663-015-0036-5
226 rdf:type schema:CreativeWork
227 grid-institutes:None schema:alternateName Bavarian Office for Forest Seeding and Planting, Teisendorf, Germany
228 Department of Forest Genetics, Federal Research and Training Centre for Forest, Natural Hazards and Landscape, Vienna, Austria
229 schema:name Bavarian Office for Forest Seeding and Planting, Teisendorf, Germany
230 Department of Forest Genetics, Federal Research and Training Centre for Forest, Natural Hazards and Landscape, Vienna, Austria
231 rdf:type schema:Organization
232 grid-institutes:grid.17091.3e schema:alternateName Department of Forest and Conservation Sciences, Centre for Forest Conservation Genetics, University of British Columbia, Vancouver, Canada
233 schema:name Department of Forest and Conservation Sciences, Centre for Forest Conservation Genetics, University of British Columbia, Vancouver, Canada
234 rdf:type schema:Organization
235 grid-institutes:grid.423520.2 schema:alternateName Central Institute for Meteorology und Geodynamics, Vienna, Austria
236 schema:name Central Institute for Meteorology und Geodynamics, Vienna, Austria
237 rdf:type schema:Organization
238 grid-institutes:grid.5173.0 schema:alternateName Department of Forest and Soil Sciences, Institute of Silviculture, University of Natural Resources and Life Sciences, Vienna, Austria
239 schema:name Department of Forest Genetics, Federal Research and Training Centre for Forest, Natural Hazards and Landscape, Vienna, Austria
240 Department of Forest and Soil Sciences, Institute of Silviculture, University of Natural Resources and Life Sciences, Vienna, Austria
241 rdf:type schema:Organization
 




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


...