Quantifying branch architecture of tropical trees using terrestrial LiDAR and 3D modelling View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-10

AUTHORS

Alvaro Lau, Lisa Patrick Bentley, Christopher Martius, Alexander Shenkin, Harm Bartholomeus, Pasi Raumonen, Yadvinder Malhi, Tobias Jackson, Martin Herold

ABSTRACT

A method using terrestrial laser scanning and 3D quantitative structure models opens up new possibilities to reconstruct tree architecture from tropical rainforest trees. Tree architecture is the three-dimensional arrangement of above ground parts of a tree. Ecologists hypothesize that the topology of tree branches represents optimized adaptations to tree’s environment. Thus, an accurate description of tree architecture leads to a better understanding of how form is driven by function. Terrestrial laser scanning (TLS) has demonstrated its potential to characterize woody tree structure. However, most current TLS methods do not describe tree architecture. Here, we examined nine trees from a Guyanese tropical rainforest to evaluate the utility of TLS for measuring tree architecture. First, we scanned the trees and extracted individual tree point clouds. TreeQSM was used to reconstruct woody structure through 3D quantitative structure models (QSMs). From these QSMs, we calculated: (1) length and diameter of branches > 10 cm diameter, (2) branching order and (3) tree volume. To validate our method, we destructively harvested the trees and manually measured all branches over 10 cm (279). TreeQSM found and reconstructed 95% of the branches thicker than 30 cm. Comparing field and QSM data, QSM overestimated branch lengths thicker than 50 cm by 1% and underestimated diameter of branches between 20 and 60 cm by 8%. TreeQSM assigned the correct branching order in 99% of all cases and reconstructed 87% of branch lengths and 97% of tree volume. Although these results are based on nine trees, they validate a method that is an important step forward towards using tree architectural traits based on TLS and open up new possibilities to use QSMs for tree architecture. More... »

PAGES

1219-1231

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00468-018-1704-1

DOI

http://dx.doi.org/10.1007/s00468-018-1704-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1104241590


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/2008/0607", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Plant Biology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Center for International Forestry Research", 
          "id": "https://www.grid.ac/institutes/grid.450561.3", 
          "name": [
            "Laboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB, Wageningen, The Netherlands", 
            "Center for International Forestry Research (CIFOR), Jalan CIFOR, Situ Gede, 16115, Bogor Barat, Indonesia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lau", 
        "givenName": "Alvaro", 
        "id": "sg:person.013504357617.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013504357617.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sonoma State University", 
          "id": "https://www.grid.ac/institutes/grid.263759.c", 
          "name": [
            "Department of Biology, Sonoma State University, 1801 East Cotati Avenue, 94928, Rohnert Park, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bentley", 
        "givenName": "Lisa Patrick", 
        "id": "sg:person.0617217373.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617217373.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Center for International Forestry Research", 
          "id": "https://www.grid.ac/institutes/grid.450561.3", 
          "name": [
            "Center for International Forestry Research (CIFOR), Jalan CIFOR, Situ Gede, 16115, Bogor Barat, Indonesia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Martius", 
        "givenName": "Christopher", 
        "id": "sg:person.010265036457.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010265036457.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Oxford", 
          "id": "https://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "Environmental Change Institute, School of Geography and the Environment, South Parks Road University of Oxford, OX1 3QY, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shenkin", 
        "givenName": "Alexander", 
        "id": "sg:person.07627627015.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07627627015.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wageningen University & Research", 
          "id": "https://www.grid.ac/institutes/grid.4818.5", 
          "name": [
            "Laboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB, Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bartholomeus", 
        "givenName": "Harm", 
        "id": "sg:person.011256636757.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011256636757.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tampere University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.6986.1", 
          "name": [
            "Laboratory of Mathematics, Tampere University of Technology, Korkeakoulunkatu 10, 33720, Tampere, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Raumonen", 
        "givenName": "Pasi", 
        "id": "sg:person.013715272426.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013715272426.93"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Oxford", 
          "id": "https://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "Environmental Change Institute, School of Geography and the Environment, South Parks Road University of Oxford, OX1 3QY, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Malhi", 
        "givenName": "Yadvinder", 
        "id": "sg:person.01251450761.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01251450761.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Oxford", 
          "id": "https://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "Environmental Change Institute, School of Geography and the Environment, South Parks Road University of Oxford, OX1 3QY, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jackson", 
        "givenName": "Tobias", 
        "id": "sg:person.011474566034.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011474566034.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wageningen University & Research", 
          "id": "https://www.grid.ac/institutes/grid.4818.5", 
          "name": [
            "Laboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB, Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Herold", 
        "givenName": "Martin", 
        "id": "sg:person.011677172761.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011677172761.99"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0378-4371(98)00639-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000137566"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agrformet.2011.10.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001015404"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/embo-reports/kvf177", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002560121"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.isprsjprs.2012.12.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002790682"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/rs5020491", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004552166"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.isprsjprs.2013.03.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006628154"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4757-0450-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011935162", 
          "https://doi.org/10.1007/978-1-4757-0450-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4757-0450-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011935162", 
          "https://doi.org/10.1007/978-1-4757-0450-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agrformet.2006.09.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013830787"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compag.2011.12.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014376060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.agrformet.2009.04.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014572748"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/02827580410019562", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014726818"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0812294106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014983598"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/f5051069", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016519329"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/isprsarchives-xxxviii-5-w12-91-2011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017118647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/2041-210x.12301", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019027068"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rse.2016.12.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020020593"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/rs6053906", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027800307"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scienta.2013.06.044", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031968937"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0020551", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034689193"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compag.2012.08.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039884837"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1043589158", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-81190-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043589158", 
          "https://doi.org/10.1007/978-3-642-81190-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-81190-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043589158", 
          "https://doi.org/10.1007/978-3-642-81190-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/15538362.2015.1126699", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046577950"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.284.5420.1677", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047747077"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/f6114245", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051307023"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/f6041274", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052768128"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/ele.12127", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053077155"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.276.5309.122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062556216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.14214/sf.1125", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067211484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rse.2017.04.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085393398"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/2041-210x.12904", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091910737"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/2041-210x.12933", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092568635"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/igarss.2013.6723555", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094319667"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-10", 
    "datePublishedReg": "2018-10-01", 
    "description": "A method using terrestrial laser scanning and 3D quantitative structure models opens up new possibilities to reconstruct tree architecture from tropical rainforest trees. Tree architecture is the three-dimensional arrangement of above ground parts of a tree. Ecologists hypothesize that the topology of tree branches represents optimized adaptations to tree\u2019s environment. Thus, an accurate description of tree architecture leads to a better understanding of how form is driven by function. Terrestrial laser scanning (TLS) has demonstrated its potential to characterize woody tree structure. However, most current TLS methods do not describe tree architecture. Here, we examined nine trees from a Guyanese tropical rainforest to evaluate the utility of TLS for measuring tree architecture. First, we scanned the trees and extracted individual tree point clouds. TreeQSM was used to reconstruct woody structure through 3D quantitative structure models (QSMs). From these QSMs, we calculated: (1) length and diameter of branches > 10 cm diameter, (2) branching order and (3) tree volume. To validate our method, we destructively harvested the trees and manually measured all branches over 10 cm (279). TreeQSM found and reconstructed 95% of the branches thicker than 30 cm. Comparing field and QSM data, QSM overestimated branch lengths thicker than 50 cm by 1% and underestimated diameter of branches between 20 and 60 cm by 8%. TreeQSM assigned the correct branching order in 99% of all cases and reconstructed 87% of branch lengths and 97% of tree volume. Although these results are based on nine trees, they validate a method that is an important step forward towards using tree architectural traits based on TLS and open up new possibilities to use QSMs for tree architecture.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00468-018-1704-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6620696", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1023155", 
        "issn": [
          "0931-1890", 
          "1432-2285"
        ], 
        "name": "Trees", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "32"
      }
    ], 
    "name": "Quantifying branch architecture of tropical trees using terrestrial LiDAR and 3D modelling", 
    "pagination": "1219-1231", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d999e707ef48da5113c417b697276fdc97ab937642b7ff99c96426ccef652e87"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00468-018-1704-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1104241590"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00468-018-1704-1", 
      "https://app.dimensions.ai/details/publication/pub.1104241590"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T18:33", 
    "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_8675_00000604.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00468-018-1704-1"
  }
]
 

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/s00468-018-1704-1'

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/s00468-018-1704-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00468-018-1704-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00468-018-1704-1'


 

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

232 TRIPLES      21 PREDICATES      60 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00468-018-1704-1 schema:about anzsrc-for:06
2 anzsrc-for:0607
3 schema:author N4b1c82d43dd043d1a173e38c59c6882d
4 schema:citation sg:pub.10.1007/978-1-4757-0450-1
5 sg:pub.10.1007/978-3-642-81190-6
6 https://app.dimensions.ai/details/publication/pub.1043589158
7 https://doi.org/10.1016/j.agrformet.2006.09.007
8 https://doi.org/10.1016/j.agrformet.2009.04.008
9 https://doi.org/10.1016/j.agrformet.2011.10.006
10 https://doi.org/10.1016/j.compag.2011.12.007
11 https://doi.org/10.1016/j.compag.2012.08.005
12 https://doi.org/10.1016/j.isprsjprs.2012.12.001
13 https://doi.org/10.1016/j.isprsjprs.2013.03.003
14 https://doi.org/10.1016/j.rse.2016.12.002
15 https://doi.org/10.1016/j.rse.2017.04.030
16 https://doi.org/10.1016/j.scienta.2013.06.044
17 https://doi.org/10.1016/s0378-4371(98)00639-6
18 https://doi.org/10.1073/pnas.0812294106
19 https://doi.org/10.1080/02827580410019562
20 https://doi.org/10.1080/15538362.2015.1126699
21 https://doi.org/10.1093/embo-reports/kvf177
22 https://doi.org/10.1109/igarss.2013.6723555
23 https://doi.org/10.1111/2041-210x.12301
24 https://doi.org/10.1111/2041-210x.12904
25 https://doi.org/10.1111/2041-210x.12933
26 https://doi.org/10.1111/ele.12127
27 https://doi.org/10.1126/science.276.5309.122
28 https://doi.org/10.1126/science.284.5420.1677
29 https://doi.org/10.1371/journal.pone.0020551
30 https://doi.org/10.14214/sf.1125
31 https://doi.org/10.3390/f5051069
32 https://doi.org/10.3390/f6041274
33 https://doi.org/10.3390/f6114245
34 https://doi.org/10.3390/rs5020491
35 https://doi.org/10.3390/rs6053906
36 https://doi.org/10.5194/isprsarchives-xxxviii-5-w12-91-2011
37 schema:datePublished 2018-10
38 schema:datePublishedReg 2018-10-01
39 schema:description A method using terrestrial laser scanning and 3D quantitative structure models opens up new possibilities to reconstruct tree architecture from tropical rainforest trees. Tree architecture is the three-dimensional arrangement of above ground parts of a tree. Ecologists hypothesize that the topology of tree branches represents optimized adaptations to tree’s environment. Thus, an accurate description of tree architecture leads to a better understanding of how form is driven by function. Terrestrial laser scanning (TLS) has demonstrated its potential to characterize woody tree structure. However, most current TLS methods do not describe tree architecture. Here, we examined nine trees from a Guyanese tropical rainforest to evaluate the utility of TLS for measuring tree architecture. First, we scanned the trees and extracted individual tree point clouds. TreeQSM was used to reconstruct woody structure through 3D quantitative structure models (QSMs). From these QSMs, we calculated: (1) length and diameter of branches > 10 cm diameter, (2) branching order and (3) tree volume. To validate our method, we destructively harvested the trees and manually measured all branches over 10 cm (279). TreeQSM found and reconstructed 95% of the branches thicker than 30 cm. Comparing field and QSM data, QSM overestimated branch lengths thicker than 50 cm by 1% and underestimated diameter of branches between 20 and 60 cm by 8%. TreeQSM assigned the correct branching order in 99% of all cases and reconstructed 87% of branch lengths and 97% of tree volume. Although these results are based on nine trees, they validate a method that is an important step forward towards using tree architectural traits based on TLS and open up new possibilities to use QSMs for tree architecture.
40 schema:genre research_article
41 schema:inLanguage en
42 schema:isAccessibleForFree true
43 schema:isPartOf N45ebf04d4dcf4bc29ec1910d551e73c1
44 N52671e9836614a878e4add2c4796b302
45 sg:journal.1023155
46 schema:name Quantifying branch architecture of tropical trees using terrestrial LiDAR and 3D modelling
47 schema:pagination 1219-1231
48 schema:productId N583bca10d88f465d90f7012499561f92
49 N98f0c576583e4261b7b4700b103cb962
50 Nfdc23629c3ce49b1bd108b7694c59184
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104241590
52 https://doi.org/10.1007/s00468-018-1704-1
53 schema:sdDatePublished 2019-04-10T18:33
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher Nf0e7d8968fa646918e20ddb3784d6508
56 schema:url http://link.springer.com/10.1007%2Fs00468-018-1704-1
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N0875a8ee8df545e39818234f8bf934b4 rdf:first sg:person.0617217373.03
61 rdf:rest N4c34e4c4e685453786223329c05c6760
62 N0b0a883c714f4f4595b0158d2173d3ed rdf:first sg:person.011474566034.37
63 rdf:rest Nd49754dcf1b640578b5fb63eb75370f8
64 N161b805b57bb45c98f6109e43b8b318f rdf:first sg:person.013715272426.93
65 rdf:rest N509a2db0006d42068a60334cca263edd
66 N2e67208518f746629eaa3371f8a000a2 rdf:first sg:person.011256636757.80
67 rdf:rest N161b805b57bb45c98f6109e43b8b318f
68 N45ebf04d4dcf4bc29ec1910d551e73c1 schema:volumeNumber 32
69 rdf:type schema:PublicationVolume
70 N4b1c82d43dd043d1a173e38c59c6882d rdf:first sg:person.013504357617.28
71 rdf:rest N0875a8ee8df545e39818234f8bf934b4
72 N4c34e4c4e685453786223329c05c6760 rdf:first sg:person.010265036457.54
73 rdf:rest Nf9ed6bbd861148e9b4bce26d8eb4a14f
74 N509a2db0006d42068a60334cca263edd rdf:first sg:person.01251450761.15
75 rdf:rest N0b0a883c714f4f4595b0158d2173d3ed
76 N52671e9836614a878e4add2c4796b302 schema:issueNumber 5
77 rdf:type schema:PublicationIssue
78 N583bca10d88f465d90f7012499561f92 schema:name readcube_id
79 schema:value d999e707ef48da5113c417b697276fdc97ab937642b7ff99c96426ccef652e87
80 rdf:type schema:PropertyValue
81 N98f0c576583e4261b7b4700b103cb962 schema:name dimensions_id
82 schema:value pub.1104241590
83 rdf:type schema:PropertyValue
84 Nd49754dcf1b640578b5fb63eb75370f8 rdf:first sg:person.011677172761.99
85 rdf:rest rdf:nil
86 Nf0e7d8968fa646918e20ddb3784d6508 schema:name Springer Nature - SN SciGraph project
87 rdf:type schema:Organization
88 Nf9ed6bbd861148e9b4bce26d8eb4a14f rdf:first sg:person.07627627015.38
89 rdf:rest N2e67208518f746629eaa3371f8a000a2
90 Nfdc23629c3ce49b1bd108b7694c59184 schema:name doi
91 schema:value 10.1007/s00468-018-1704-1
92 rdf:type schema:PropertyValue
93 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
94 schema:name Biological Sciences
95 rdf:type schema:DefinedTerm
96 anzsrc-for:0607 schema:inDefinedTermSet anzsrc-for:
97 schema:name Plant Biology
98 rdf:type schema:DefinedTerm
99 sg:grant.6620696 http://pending.schema.org/fundedItem sg:pub.10.1007/s00468-018-1704-1
100 rdf:type schema:MonetaryGrant
101 sg:journal.1023155 schema:issn 0931-1890
102 1432-2285
103 schema:name Trees
104 rdf:type schema:Periodical
105 sg:person.010265036457.54 schema:affiliation https://www.grid.ac/institutes/grid.450561.3
106 schema:familyName Martius
107 schema:givenName Christopher
108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010265036457.54
109 rdf:type schema:Person
110 sg:person.011256636757.80 schema:affiliation https://www.grid.ac/institutes/grid.4818.5
111 schema:familyName Bartholomeus
112 schema:givenName Harm
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011256636757.80
114 rdf:type schema:Person
115 sg:person.011474566034.37 schema:affiliation https://www.grid.ac/institutes/grid.4991.5
116 schema:familyName Jackson
117 schema:givenName Tobias
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011474566034.37
119 rdf:type schema:Person
120 sg:person.011677172761.99 schema:affiliation https://www.grid.ac/institutes/grid.4818.5
121 schema:familyName Herold
122 schema:givenName Martin
123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011677172761.99
124 rdf:type schema:Person
125 sg:person.01251450761.15 schema:affiliation https://www.grid.ac/institutes/grid.4991.5
126 schema:familyName Malhi
127 schema:givenName Yadvinder
128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01251450761.15
129 rdf:type schema:Person
130 sg:person.013504357617.28 schema:affiliation https://www.grid.ac/institutes/grid.450561.3
131 schema:familyName Lau
132 schema:givenName Alvaro
133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013504357617.28
134 rdf:type schema:Person
135 sg:person.013715272426.93 schema:affiliation https://www.grid.ac/institutes/grid.6986.1
136 schema:familyName Raumonen
137 schema:givenName Pasi
138 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013715272426.93
139 rdf:type schema:Person
140 sg:person.0617217373.03 schema:affiliation https://www.grid.ac/institutes/grid.263759.c
141 schema:familyName Bentley
142 schema:givenName Lisa Patrick
143 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617217373.03
144 rdf:type schema:Person
145 sg:person.07627627015.38 schema:affiliation https://www.grid.ac/institutes/grid.4991.5
146 schema:familyName Shenkin
147 schema:givenName Alexander
148 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07627627015.38
149 rdf:type schema:Person
150 sg:pub.10.1007/978-1-4757-0450-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011935162
151 https://doi.org/10.1007/978-1-4757-0450-1
152 rdf:type schema:CreativeWork
153 sg:pub.10.1007/978-3-642-81190-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043589158
154 https://doi.org/10.1007/978-3-642-81190-6
155 rdf:type schema:CreativeWork
156 https://app.dimensions.ai/details/publication/pub.1043589158 schema:CreativeWork
157 https://doi.org/10.1016/j.agrformet.2006.09.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013830787
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1016/j.agrformet.2009.04.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014572748
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/j.agrformet.2011.10.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001015404
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/j.compag.2011.12.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014376060
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/j.compag.2012.08.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039884837
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/j.isprsjprs.2012.12.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002790682
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/j.isprsjprs.2013.03.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006628154
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/j.rse.2016.12.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020020593
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/j.rse.2017.04.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085393398
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/j.scienta.2013.06.044 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031968937
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/s0378-4371(98)00639-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000137566
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1073/pnas.0812294106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014983598
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1080/02827580410019562 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014726818
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1080/15538362.2015.1126699 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046577950
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1093/embo-reports/kvf177 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002560121
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1109/igarss.2013.6723555 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094319667
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1111/2041-210x.12301 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019027068
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1111/2041-210x.12904 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091910737
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1111/2041-210x.12933 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092568635
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1111/ele.12127 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053077155
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1126/science.276.5309.122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062556216
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1126/science.284.5420.1677 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047747077
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1371/journal.pone.0020551 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034689193
202 rdf:type schema:CreativeWork
203 https://doi.org/10.14214/sf.1125 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067211484
204 rdf:type schema:CreativeWork
205 https://doi.org/10.3390/f5051069 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016519329
206 rdf:type schema:CreativeWork
207 https://doi.org/10.3390/f6041274 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052768128
208 rdf:type schema:CreativeWork
209 https://doi.org/10.3390/f6114245 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051307023
210 rdf:type schema:CreativeWork
211 https://doi.org/10.3390/rs5020491 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004552166
212 rdf:type schema:CreativeWork
213 https://doi.org/10.3390/rs6053906 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027800307
214 rdf:type schema:CreativeWork
215 https://doi.org/10.5194/isprsarchives-xxxviii-5-w12-91-2011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017118647
216 rdf:type schema:CreativeWork
217 https://www.grid.ac/institutes/grid.263759.c schema:alternateName Sonoma State University
218 schema:name Department of Biology, Sonoma State University, 1801 East Cotati Avenue, 94928, Rohnert Park, CA, USA
219 rdf:type schema:Organization
220 https://www.grid.ac/institutes/grid.450561.3 schema:alternateName Center for International Forestry Research
221 schema:name Center for International Forestry Research (CIFOR), Jalan CIFOR, Situ Gede, 16115, Bogor Barat, Indonesia
222 Laboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB, Wageningen, The Netherlands
223 rdf:type schema:Organization
224 https://www.grid.ac/institutes/grid.4818.5 schema:alternateName Wageningen University & Research
225 schema:name Laboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB, Wageningen, The Netherlands
226 rdf:type schema:Organization
227 https://www.grid.ac/institutes/grid.4991.5 schema:alternateName University of Oxford
228 schema:name Environmental Change Institute, School of Geography and the Environment, South Parks Road University of Oxford, OX1 3QY, Oxford, UK
229 rdf:type schema:Organization
230 https://www.grid.ac/institutes/grid.6986.1 schema:alternateName Tampere University of Technology
231 schema:name Laboratory of Mathematics, Tampere University of Technology, Korkeakoulunkatu 10, 33720, Tampere, Finland
232 rdf:type schema:Organization
 




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


...