Estimation of Individual Norway Spruce Crown Metrics Using a Smartphone Device View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2022-04-01

AUTHORS

Kamil Kędra, Ignacio Barbeito

ABSTRACT

Assessing the architecture of Norway spruce (Picea abies (L.) Karst.) is challenging using terrestrial remote sensing due to its typically dense, evergreen canopy. On the other hand, this species is among the most vulnerable to the effects of climate change. Advanced crown variables may serve as an early warning of tree drought and wind risk, but are still scarce and hardly available for the vast majority of forests, because they are costly and time-consuming to measure in the field. In this study, we used single-image photogrammetry (SIP) based on a high-resolution smartphone camera. Our method was used to assess the architecture of spruce trees growing under two contrasting forest settings: a low-density urban forest (190–668 trees per ha) and an intermediate-density managed forest (636–1018 trees per ha), outside of Norway spruce native range, in North-Western Poland. For trees ranging 18–50 cm in diameter at breast height (DBH), we obtained a ca. 1 cm (3%) mean error in SIP DBH measurements, with little bias (− 0.3%). The principal component analysis based on the relative tree- and crown-level variables revealed two independent trait dimensions explaining 83.9% of the total variance. The axes were driven by tree slenderness and by crown proportions; the former providing a key to disentangle spruce architectures of the two stands. Overall, our results show that spruce architecture may be quickly and reliably measured with SIP using a smartphone application. More... »

PAGES

123-134

References to SciGraph publications

  • 2003-10-03. Natural sway frequencies and damping ratios of trees: concepts, review and synthesis of previous studies in TREES
  • 2015-12-10. Characterization of the structure, dynamics, and productivity of mixed-species stands: review and perspectives in EUROPEAN JOURNAL OF FOREST RESEARCH
  • 2004-02-19. Crown development in Norway spruce [ Picea abies (L.) Karst.] in TREES
  • 2013-02-13. Structural crown properties of Norway spruce (Picea abies [L.] Karst.) and European beech (Fagus sylvatica [L.]) in mixed versus pure stands revealed by terrestrial laser scanning in TREES
  • 2019-01-07. Single-image photogrammetry for deriving tree architectural traits in mature forest stands: a comparison with terrestrial laser scanning in ANNALS OF FOREST SCIENCE
  • 2009. Forest Dynamics, Growth and Yield, From Measurement to Model in NONE
  • 2021-06-21. Tree species, crown cover, and age as determinants of the vertical distribution of airborne LiDAR returns in TREES
  • 2019-02-25. Identifying architectural characteristics that determine tree structural complexity in TREES
  • 2020-11-03. Influence of heterozygosity and competition on morphological tree characteristics of Quercus rubra L.: a new single-tree based approach in NEW FORESTS
  • 2012-01-11. Evidence of variant intra- and interspecific scaling of tree crown structure and relevance for allometric theory in OECOLOGIA
  • 2019-08-08. The utility of terrestrial photogrammetry for assessment of tree volume and taper in boreal mixedwood forests in ANNALS OF FOREST SCIENCE
  • 2001. Branching in Plants in BRANCHING IN NATURE
  • 2012-11-21. Global convergence in the vulnerability of forests to drought in NATURE
  • 2021-04-26. Effects of local neighbourhood diversity on crown structure and productivity of individual trees in mature mixed-species forests in FOREST ECOSYSTEMS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s41064-022-00201-3

    DOI

    http://dx.doi.org/10.1007/s41064-022-00201-3

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1146808107


    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": "Szczecin, Poland", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Szczecin, Poland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "K\u0119dra", 
            "givenName": "Kamil", 
            "id": "sg:person.015361406321.73", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015361406321.73"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Forest Resources Management, Faculty of Forestry, The University of British Columbia, 2424 Main Mall, V6T 1Z4, Vancouver, BC, Canada", 
              "id": "http://www.grid.ac/institutes/grid.17091.3e", 
              "name": [
                "Department of Forest Resources Management, Faculty of Forestry, The University of British Columbia, 2424 Main Mall, V6T 1Z4, Vancouver, BC, Canada"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Barbeito", 
            "givenName": "Ignacio", 
            "id": "sg:person.016511426235.21", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016511426235.21"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1186/s40663-021-00306-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1137477907", 
              "https://doi.org/10.1186/s40663-021-00306-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00468-004-0319-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020061436", 
              "https://doi.org/10.1007/s00468-004-0319-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13595-019-0852-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1120213027", 
              "https://doi.org/10.1007/s13595-019-0852-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11056-020-09814-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1132261232", 
              "https://doi.org/10.1007/s11056-020-09814-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00468-003-0295-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043480199", 
              "https://doi.org/10.1007/s00468-003-0295-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00442-011-2240-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025025530", 
              "https://doi.org/10.1007/s00442-011-2240-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00468-021-02155-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1139039734", 
              "https://doi.org/10.1007/s00468-021-02155-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10342-015-0927-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007028261", 
              "https://doi.org/10.1007/s10342-015-0927-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00468-013-0854-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042399946", 
              "https://doi.org/10.1007/s00468-013-0854-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-662-06162-6_2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022254315", 
              "https://doi.org/10.1007/978-3-662-06162-6_2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00468-019-01827-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1112385231", 
              "https://doi.org/10.1007/s00468-019-01827-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13595-018-0783-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1111255462", 
              "https://doi.org/10.1007/s13595-018-0783-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-88307-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016163675", 
              "https://doi.org/10.1007/978-3-540-88307-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature11688", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019420580", 
              "https://doi.org/10.1038/nature11688"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2022-04-01", 
        "datePublishedReg": "2022-04-01", 
        "description": "Assessing the architecture of Norway spruce (Picea abies (L.) Karst.) is challenging using terrestrial remote sensing due to its typically dense, evergreen canopy. On the other hand, this species is among the most vulnerable to the effects of climate change. Advanced crown variables may serve as an early warning of tree drought and wind risk, but are still scarce and hardly available for the vast majority of forests, because they are costly and time-consuming to measure in the field. In this study, we used single-image photogrammetry (SIP) based on a high-resolution smartphone camera. Our method was used to assess the architecture of spruce trees growing under two contrasting forest settings: a low-density urban forest (190\u2013668 trees per ha) and an intermediate-density managed forest (636\u20131018 trees per ha), outside of Norway spruce native range, in North-Western Poland. For trees ranging 18\u201350\u00a0cm in diameter at breast height (DBH), we obtained a ca. 1\u00a0cm (3%) mean error in SIP DBH measurements, with little bias (\u2212\u00a00.3%). The principal component analysis based on the relative tree- and crown-level variables revealed two independent trait dimensions explaining 83.9% of the total variance. The axes were driven by tree slenderness and by crown proportions; the former providing a key to disentangle spruce architectures of the two stands. Overall, our results show that spruce architecture may be quickly and reliably measured with SIP using a smartphone application.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s41064-022-00201-3", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1320463", 
            "issn": [
              "2512-2789", 
              "2512-2819"
            ], 
            "name": "PFG \u2013 Journal of Photogrammetry, Remote Sensing and Geoinformation Science", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "90"
          }
        ], 
        "keywords": [
          "north-western Poland", 
          "native range", 
          "urban forests", 
          "breast height", 
          "forest settings", 
          "crown metrics", 
          "climate change", 
          "Norway spruce", 
          "spruce trees", 
          "forest", 
          "evergreen canopy", 
          "crown variables", 
          "principal component analysis", 
          "DBH measurements", 
          "trees", 
          "total variance", 
          "component analysis", 
          "early warning", 
          "wind risk", 
          "trait dimensions", 
          "ca. 1", 
          "canopy", 
          "drought", 
          "stands", 
          "spruce", 
          "species", 
          "little bias", 
          "variables", 
          "Poland", 
          "tree slenderness", 
          "metrics", 
          "changes", 
          "proportion", 
          "key", 
          "height", 
          "range", 
          "variance", 
          "photogrammetry", 
          "crown proportions", 
          "vast majority", 
          "warning", 
          "risk", 
          "effect", 
          "field", 
          "study", 
          "estimation", 
          "majority", 
          "results", 
          "axes", 
          "analysis", 
          "applications", 
          "bias", 
          "hand", 
          "diameter", 
          "measurements", 
          "method", 
          "dimensions", 
          "camera", 
          "slenderness", 
          "error", 
          "setting", 
          "smartphone application", 
          "architecture", 
          "smartphone camera", 
          "high-resolution smartphone cameras", 
          "devices", 
          "smartphone devices", 
          "single-image photogrammetry"
        ], 
        "name": "Estimation of Individual Norway Spruce Crown Metrics Using a Smartphone Device", 
        "pagination": "123-134", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1146808107"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s41064-022-00201-3"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s41064-022-00201-3", 
          "https://app.dimensions.ai/details/publication/pub.1146808107"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-12-01T06:43", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_923.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s41064-022-00201-3"
      }
    ]
     

    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/s41064-022-00201-3'

    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/s41064-022-00201-3'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s41064-022-00201-3'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s41064-022-00201-3'


     

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

    191 TRIPLES      21 PREDICATES      106 URIs      84 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s41064-022-00201-3 schema:about anzsrc-for:07
    2 anzsrc-for:0705
    3 schema:author Ne327bcf9517c47bcb0c0c13a8f7ecac7
    4 schema:citation sg:pub.10.1007/978-3-540-88307-4
    5 sg:pub.10.1007/978-3-662-06162-6_2
    6 sg:pub.10.1007/s00442-011-2240-5
    7 sg:pub.10.1007/s00468-003-0295-6
    8 sg:pub.10.1007/s00468-004-0319-x
    9 sg:pub.10.1007/s00468-013-0854-4
    10 sg:pub.10.1007/s00468-019-01827-4
    11 sg:pub.10.1007/s00468-021-02155-2
    12 sg:pub.10.1007/s10342-015-0927-6
    13 sg:pub.10.1007/s11056-020-09814-1
    14 sg:pub.10.1007/s13595-018-0783-x
    15 sg:pub.10.1007/s13595-019-0852-9
    16 sg:pub.10.1038/nature11688
    17 sg:pub.10.1186/s40663-021-00306-y
    18 schema:datePublished 2022-04-01
    19 schema:datePublishedReg 2022-04-01
    20 schema:description Assessing the architecture of Norway spruce (Picea abies (L.) Karst.) is challenging using terrestrial remote sensing due to its typically dense, evergreen canopy. On the other hand, this species is among the most vulnerable to the effects of climate change. Advanced crown variables may serve as an early warning of tree drought and wind risk, but are still scarce and hardly available for the vast majority of forests, because they are costly and time-consuming to measure in the field. In this study, we used single-image photogrammetry (SIP) based on a high-resolution smartphone camera. Our method was used to assess the architecture of spruce trees growing under two contrasting forest settings: a low-density urban forest (190–668 trees per ha) and an intermediate-density managed forest (636–1018 trees per ha), outside of Norway spruce native range, in North-Western Poland. For trees ranging 18–50 cm in diameter at breast height (DBH), we obtained a ca. 1 cm (3%) mean error in SIP DBH measurements, with little bias (− 0.3%). The principal component analysis based on the relative tree- and crown-level variables revealed two independent trait dimensions explaining 83.9% of the total variance. The axes were driven by tree slenderness and by crown proportions; the former providing a key to disentangle spruce architectures of the two stands. Overall, our results show that spruce architecture may be quickly and reliably measured with SIP using a smartphone application.
    21 schema:genre article
    22 schema:isAccessibleForFree false
    23 schema:isPartOf N19bd9606f94c4e4fb61d6cc7ba3d5f03
    24 Nfc5920a72dde40d8b256c26205cbee47
    25 sg:journal.1320463
    26 schema:keywords DBH measurements
    27 Norway spruce
    28 Poland
    29 analysis
    30 applications
    31 architecture
    32 axes
    33 bias
    34 breast height
    35 ca. 1
    36 camera
    37 canopy
    38 changes
    39 climate change
    40 component analysis
    41 crown metrics
    42 crown proportions
    43 crown variables
    44 devices
    45 diameter
    46 dimensions
    47 drought
    48 early warning
    49 effect
    50 error
    51 estimation
    52 evergreen canopy
    53 field
    54 forest
    55 forest settings
    56 hand
    57 height
    58 high-resolution smartphone cameras
    59 key
    60 little bias
    61 majority
    62 measurements
    63 method
    64 metrics
    65 native range
    66 north-western Poland
    67 photogrammetry
    68 principal component analysis
    69 proportion
    70 range
    71 results
    72 risk
    73 setting
    74 single-image photogrammetry
    75 slenderness
    76 smartphone application
    77 smartphone camera
    78 smartphone devices
    79 species
    80 spruce
    81 spruce trees
    82 stands
    83 study
    84 total variance
    85 trait dimensions
    86 tree slenderness
    87 trees
    88 urban forests
    89 variables
    90 variance
    91 vast majority
    92 warning
    93 wind risk
    94 schema:name Estimation of Individual Norway Spruce Crown Metrics Using a Smartphone Device
    95 schema:pagination 123-134
    96 schema:productId N28f8828e7ffa415c8ec3e3c47120cf7b
    97 N6af58cefba0047b0b7edcfdc6fc24ee2
    98 schema:sameAs https://app.dimensions.ai/details/publication/pub.1146808107
    99 https://doi.org/10.1007/s41064-022-00201-3
    100 schema:sdDatePublished 2022-12-01T06:43
    101 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    102 schema:sdPublisher Nba4c5da101604a65b24c8966432b1735
    103 schema:url https://doi.org/10.1007/s41064-022-00201-3
    104 sgo:license sg:explorer/license/
    105 sgo:sdDataset articles
    106 rdf:type schema:ScholarlyArticle
    107 N19bd9606f94c4e4fb61d6cc7ba3d5f03 schema:issueNumber 2
    108 rdf:type schema:PublicationIssue
    109 N28f8828e7ffa415c8ec3e3c47120cf7b schema:name dimensions_id
    110 schema:value pub.1146808107
    111 rdf:type schema:PropertyValue
    112 N6af58cefba0047b0b7edcfdc6fc24ee2 schema:name doi
    113 schema:value 10.1007/s41064-022-00201-3
    114 rdf:type schema:PropertyValue
    115 Nb594cd888e8c44aeaf0885956d81904e rdf:first sg:person.016511426235.21
    116 rdf:rest rdf:nil
    117 Nba4c5da101604a65b24c8966432b1735 schema:name Springer Nature - SN SciGraph project
    118 rdf:type schema:Organization
    119 Ne327bcf9517c47bcb0c0c13a8f7ecac7 rdf:first sg:person.015361406321.73
    120 rdf:rest Nb594cd888e8c44aeaf0885956d81904e
    121 Nfc5920a72dde40d8b256c26205cbee47 schema:volumeNumber 90
    122 rdf:type schema:PublicationVolume
    123 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
    124 schema:name Agricultural and Veterinary Sciences
    125 rdf:type schema:DefinedTerm
    126 anzsrc-for:0705 schema:inDefinedTermSet anzsrc-for:
    127 schema:name Forestry Sciences
    128 rdf:type schema:DefinedTerm
    129 sg:journal.1320463 schema:issn 2512-2789
    130 2512-2819
    131 schema:name PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science
    132 schema:publisher Springer Nature
    133 rdf:type schema:Periodical
    134 sg:person.015361406321.73 schema:affiliation grid-institutes:None
    135 schema:familyName Kędra
    136 schema:givenName Kamil
    137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015361406321.73
    138 rdf:type schema:Person
    139 sg:person.016511426235.21 schema:affiliation grid-institutes:grid.17091.3e
    140 schema:familyName Barbeito
    141 schema:givenName Ignacio
    142 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016511426235.21
    143 rdf:type schema:Person
    144 sg:pub.10.1007/978-3-540-88307-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016163675
    145 https://doi.org/10.1007/978-3-540-88307-4
    146 rdf:type schema:CreativeWork
    147 sg:pub.10.1007/978-3-662-06162-6_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022254315
    148 https://doi.org/10.1007/978-3-662-06162-6_2
    149 rdf:type schema:CreativeWork
    150 sg:pub.10.1007/s00442-011-2240-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025025530
    151 https://doi.org/10.1007/s00442-011-2240-5
    152 rdf:type schema:CreativeWork
    153 sg:pub.10.1007/s00468-003-0295-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043480199
    154 https://doi.org/10.1007/s00468-003-0295-6
    155 rdf:type schema:CreativeWork
    156 sg:pub.10.1007/s00468-004-0319-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1020061436
    157 https://doi.org/10.1007/s00468-004-0319-x
    158 rdf:type schema:CreativeWork
    159 sg:pub.10.1007/s00468-013-0854-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042399946
    160 https://doi.org/10.1007/s00468-013-0854-4
    161 rdf:type schema:CreativeWork
    162 sg:pub.10.1007/s00468-019-01827-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112385231
    163 https://doi.org/10.1007/s00468-019-01827-4
    164 rdf:type schema:CreativeWork
    165 sg:pub.10.1007/s00468-021-02155-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1139039734
    166 https://doi.org/10.1007/s00468-021-02155-2
    167 rdf:type schema:CreativeWork
    168 sg:pub.10.1007/s10342-015-0927-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007028261
    169 https://doi.org/10.1007/s10342-015-0927-6
    170 rdf:type schema:CreativeWork
    171 sg:pub.10.1007/s11056-020-09814-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1132261232
    172 https://doi.org/10.1007/s11056-020-09814-1
    173 rdf:type schema:CreativeWork
    174 sg:pub.10.1007/s13595-018-0783-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1111255462
    175 https://doi.org/10.1007/s13595-018-0783-x
    176 rdf:type schema:CreativeWork
    177 sg:pub.10.1007/s13595-019-0852-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1120213027
    178 https://doi.org/10.1007/s13595-019-0852-9
    179 rdf:type schema:CreativeWork
    180 sg:pub.10.1038/nature11688 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019420580
    181 https://doi.org/10.1038/nature11688
    182 rdf:type schema:CreativeWork
    183 sg:pub.10.1186/s40663-021-00306-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1137477907
    184 https://doi.org/10.1186/s40663-021-00306-y
    185 rdf:type schema:CreativeWork
    186 grid-institutes:None schema:alternateName Szczecin, Poland
    187 schema:name Szczecin, Poland
    188 rdf:type schema:Organization
    189 grid-institutes:grid.17091.3e schema:alternateName Department of Forest Resources Management, Faculty of Forestry, The University of British Columbia, 2424 Main Mall, V6T 1Z4, Vancouver, BC, Canada
    190 schema:name Department of Forest Resources Management, Faculty of Forestry, The University of British Columbia, 2424 Main Mall, V6T 1Z4, Vancouver, BC, Canada
    191 rdf:type schema:Organization
     




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


    ...