Using double-sampling techniques to reduce the number of measurement trees during forest inventories Article Swipe
Curtis L. VanderSchaaf
,
Gordon Holley
,
J. F. Adams
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.21750/refor.3.04.28
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.21750/refor.3.04.28
Variable-radius sampling techniques are commonly used during forest inventories. For each sample tree at a particular sampling point, diameter and height(s) are measured and then weight is estimated using established equations. Heights can require a fair amount of time to measure in the field. Separating the weight per acre estimate into two components; average basal area per acre and WBAR (individual tree weight-basal area ratio) across all points, can often lead to more efficient sampling schemes. Variable-radius sampling allows for a quick estimate of basal area per acre at a point since no individual tree measurements are needed. If there is a strong relationship between weight and basal area, then by knowing basal area you essentially know weight. Separation into two components is advantageous because in most cases there is more variability among basal area estimates per point then there is in WBAR. Hence, you can spend more resources establishing many points that only estimate basal area – often called “Count†points. “Full†points are those where individual tree measurements are also conducted. There is little published information quantifying the impacts on basal area, weight, etc., estimates among different “Full/Count†sample size ratios at the same site. Inventories were examined to determine this method’s applicability to loblolly pine plantations in southern Arkansas and northern Louisiana. Results show there is more variability among basal area estimates than WBAR and that the amount of trees being “intensively†measured is excessive. Based on these four plantations, a “Full†point could be installed ranging from every other point to every fifth point depending on site conditions and the desired variable.
Related Topics
Concepts
Basal area
Sampling (signal processing)
Forest inventory
Acre
Statistics
Mathematics
Sample (material)
Tree (set theory)
Range (aeronautics)
Environmental science
Forestry
Geography
Forest management
Agroforestry
Computer science
Combinatorics
Engineering
Chemistry
Chromatography
Filter (signal processing)
Computer vision
Aerospace engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.21750/refor.3.04.28
- http://journal.reforestationchallenges.org/index.php/REFOR/article/download/53/pdf
- OA Status
- diamond
- References
- 3
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2740505740
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2740505740Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.21750/refor.3.04.28Digital Object Identifier
- Title
-
Using double-sampling techniques to reduce the number of measurement trees during forest inventoriesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-07-01Full publication date if available
- Authors
-
Curtis L. VanderSchaaf, Gordon Holley, J. F. AdamsList of authors in order
- Landing page
-
https://doi.org/10.21750/refor.3.04.28Publisher landing page
- PDF URL
-
https://journal.reforestationchallenges.org/index.php/REFOR/article/download/53/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://journal.reforestationchallenges.org/index.php/REFOR/article/download/53/pdfDirect OA link when available
- Concepts
-
Basal area, Sampling (signal processing), Forest inventory, Acre, Statistics, Mathematics, Sample (material), Tree (set theory), Range (aeronautics), Environmental science, Forestry, Geography, Forest management, Agroforestry, Computer science, Combinatorics, Engineering, Chemistry, Chromatography, Filter (signal processing), Computer vision, Aerospace engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
3Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W2740505740 |
|---|---|
| doi | https://doi.org/10.21750/refor.3.04.28 |
| ids.doi | https://doi.org/10.21750/refor.3.04.28 |
| ids.mag | 2740505740 |
| ids.openalex | https://openalex.org/W2740505740 |
| fwci | 0.0 |
| type | article |
| title | Using double-sampling techniques to reduce the number of measurement trees during forest inventories |
| biblio.issue | 3 |
| biblio.volume | |
| biblio.last_page | 40 |
| biblio.first_page | 31 |
| topics[0].id | https://openalex.org/T11880 |
| topics[0].field.id | https://openalex.org/fields/23 |
| topics[0].field.display_name | Environmental Science |
| topics[0].score | 0.9997000098228455 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2309 |
| topics[0].subfield.display_name | Nature and Landscape Conservation |
| topics[0].display_name | Forest ecology and management |
| topics[1].id | https://openalex.org/T11164 |
| topics[1].field.id | https://openalex.org/fields/23 |
| topics[1].field.display_name | Environmental Science |
| topics[1].score | 0.9970999956130981 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2305 |
| topics[1].subfield.display_name | Environmental Engineering |
| topics[1].display_name | Remote Sensing and LiDAR Applications |
| topics[2].id | https://openalex.org/T11753 |
| topics[2].field.id | https://openalex.org/fields/23 |
| topics[2].field.display_name | Environmental Science |
| topics[2].score | 0.9882000088691711 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2306 |
| topics[2].subfield.display_name | Global and Planetary Change |
| topics[2].display_name | Forest Management and Policy |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C91354502 |
| concepts[0].level | 2 |
| concepts[0].score | 0.9298643469810486 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q830384 |
| concepts[0].display_name | Basal area |
| concepts[1].id | https://openalex.org/C140779682 |
| concepts[1].level | 3 |
| concepts[1].score | 0.7036588191986084 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q210868 |
| concepts[1].display_name | Sampling (signal processing) |
| concepts[2].id | https://openalex.org/C147103442 |
| concepts[2].level | 3 |
| concepts[2].score | 0.6171512603759766 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1423188 |
| concepts[2].display_name | Forest inventory |
| concepts[3].id | https://openalex.org/C48508581 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5903767943382263 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q4675074 |
| concepts[3].display_name | Acre |
| concepts[4].id | https://openalex.org/C105795698 |
| concepts[4].level | 1 |
| concepts[4].score | 0.56293123960495 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[4].display_name | Statistics |
| concepts[5].id | https://openalex.org/C33923547 |
| concepts[5].level | 0 |
| concepts[5].score | 0.5439848899841309 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[5].display_name | Mathematics |
| concepts[6].id | https://openalex.org/C198531522 |
| concepts[6].level | 2 |
| concepts[6].score | 0.5014951229095459 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q485146 |
| concepts[6].display_name | Sample (material) |
| concepts[7].id | https://openalex.org/C113174947 |
| concepts[7].level | 2 |
| concepts[7].score | 0.4577345848083496 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q2859736 |
| concepts[7].display_name | Tree (set theory) |
| concepts[8].id | https://openalex.org/C204323151 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4561131000518799 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q905424 |
| concepts[8].display_name | Range (aeronautics) |
| concepts[9].id | https://openalex.org/C39432304 |
| concepts[9].level | 0 |
| concepts[9].score | 0.41627007722854614 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q188847 |
| concepts[9].display_name | Environmental science |
| concepts[10].id | https://openalex.org/C97137747 |
| concepts[10].level | 1 |
| concepts[10].score | 0.3297743797302246 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q38112 |
| concepts[10].display_name | Forestry |
| concepts[11].id | https://openalex.org/C205649164 |
| concepts[11].level | 0 |
| concepts[11].score | 0.27805095911026 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[11].display_name | Geography |
| concepts[12].id | https://openalex.org/C28631016 |
| concepts[12].level | 2 |
| concepts[12].score | 0.23518693447113037 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q372561 |
| concepts[12].display_name | Forest management |
| concepts[13].id | https://openalex.org/C54286561 |
| concepts[13].level | 1 |
| concepts[13].score | 0.1559624969959259 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q397350 |
| concepts[13].display_name | Agroforestry |
| concepts[14].id | https://openalex.org/C41008148 |
| concepts[14].level | 0 |
| concepts[14].score | 0.11882084608078003 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[14].display_name | Computer science |
| concepts[15].id | https://openalex.org/C114614502 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0745326578617096 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q76592 |
| concepts[15].display_name | Combinatorics |
| concepts[16].id | https://openalex.org/C127413603 |
| concepts[16].level | 0 |
| concepts[16].score | 0.07444146275520325 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[16].display_name | Engineering |
| concepts[17].id | https://openalex.org/C185592680 |
| concepts[17].level | 0 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[17].display_name | Chemistry |
| concepts[18].id | https://openalex.org/C43617362 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q170050 |
| concepts[18].display_name | Chromatography |
| concepts[19].id | https://openalex.org/C106131492 |
| concepts[19].level | 2 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q3072260 |
| concepts[19].display_name | Filter (signal processing) |
| concepts[20].id | https://openalex.org/C31972630 |
| concepts[20].level | 1 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q844240 |
| concepts[20].display_name | Computer vision |
| concepts[21].id | https://openalex.org/C146978453 |
| concepts[21].level | 1 |
| concepts[21].score | 0.0 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q3798668 |
| concepts[21].display_name | Aerospace engineering |
| keywords[0].id | https://openalex.org/keywords/basal-area |
| keywords[0].score | 0.9298643469810486 |
| keywords[0].display_name | Basal area |
| keywords[1].id | https://openalex.org/keywords/sampling |
| keywords[1].score | 0.7036588191986084 |
| keywords[1].display_name | Sampling (signal processing) |
| keywords[2].id | https://openalex.org/keywords/forest-inventory |
| keywords[2].score | 0.6171512603759766 |
| keywords[2].display_name | Forest inventory |
| keywords[3].id | https://openalex.org/keywords/acre |
| keywords[3].score | 0.5903767943382263 |
| keywords[3].display_name | Acre |
| keywords[4].id | https://openalex.org/keywords/statistics |
| keywords[4].score | 0.56293123960495 |
| keywords[4].display_name | Statistics |
| keywords[5].id | https://openalex.org/keywords/mathematics |
| keywords[5].score | 0.5439848899841309 |
| keywords[5].display_name | Mathematics |
| keywords[6].id | https://openalex.org/keywords/sample |
| keywords[6].score | 0.5014951229095459 |
| keywords[6].display_name | Sample (material) |
| keywords[7].id | https://openalex.org/keywords/tree |
| keywords[7].score | 0.4577345848083496 |
| keywords[7].display_name | Tree (set theory) |
| keywords[8].id | https://openalex.org/keywords/range |
| keywords[8].score | 0.4561131000518799 |
| keywords[8].display_name | Range (aeronautics) |
| keywords[9].id | https://openalex.org/keywords/environmental-science |
| keywords[9].score | 0.41627007722854614 |
| keywords[9].display_name | Environmental science |
| keywords[10].id | https://openalex.org/keywords/forestry |
| keywords[10].score | 0.3297743797302246 |
| keywords[10].display_name | Forestry |
| keywords[11].id | https://openalex.org/keywords/geography |
| keywords[11].score | 0.27805095911026 |
| keywords[11].display_name | Geography |
| keywords[12].id | https://openalex.org/keywords/forest-management |
| keywords[12].score | 0.23518693447113037 |
| keywords[12].display_name | Forest management |
| keywords[13].id | https://openalex.org/keywords/agroforestry |
| keywords[13].score | 0.1559624969959259 |
| keywords[13].display_name | Agroforestry |
| keywords[14].id | https://openalex.org/keywords/computer-science |
| keywords[14].score | 0.11882084608078003 |
| keywords[14].display_name | Computer science |
| keywords[15].id | https://openalex.org/keywords/combinatorics |
| keywords[15].score | 0.0745326578617096 |
| keywords[15].display_name | Combinatorics |
| keywords[16].id | https://openalex.org/keywords/engineering |
| keywords[16].score | 0.07444146275520325 |
| keywords[16].display_name | Engineering |
| language | en |
| locations[0].id | doi:10.21750/refor.3.04.28 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210195306 |
| locations[0].source.issn | 2466-4367 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2466-4367 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | REFORESTA |
| locations[0].source.host_organization | |
| locations[0].source.host_organization_name | |
| locations[0].license | cc-by |
| locations[0].pdf_url | http://journal.reforestationchallenges.org/index.php/REFOR/article/download/53/pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | REFORESTA |
| locations[0].landing_page_url | https://doi.org/10.21750/refor.3.04.28 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5054704169 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Curtis L. VanderSchaaf |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I919208787 |
| authorships[0].affiliations[0].raw_affiliation_string | School of Agricultural Science and Forestry, Louisiana Tech University, Ruston, LA 71272 |
| authorships[0].institutions[0].id | https://openalex.org/I919208787 |
| authorships[0].institutions[0].ror | https://ror.org/04q9esz89 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I2799628689, https://openalex.org/I919208787 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | Louisiana Tech University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Curtis L. VanderSchaaf |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | School of Agricultural Science and Forestry, Louisiana Tech University, Ruston, LA 71272 |
| authorships[1].author.id | https://openalex.org/A5024353040 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Gordon Holley |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I919208787 |
| authorships[1].affiliations[0].raw_affiliation_string | Louisiana Tech University, Ruston, LA 71272 |
| authorships[1].institutions[0].id | https://openalex.org/I919208787 |
| authorships[1].institutions[0].ror | https://ror.org/04q9esz89 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I2799628689, https://openalex.org/I919208787 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | Louisiana Tech University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Gordon Holley |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Louisiana Tech University, Ruston, LA 71272 |
| authorships[2].author.id | https://openalex.org/A5103652121 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | J. F. Adams |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I919208787 |
| authorships[2].affiliations[0].raw_affiliation_string | Louisiana Tech University, Ruston, LA 71272 |
| authorships[2].institutions[0].id | https://openalex.org/I919208787 |
| authorships[2].institutions[0].ror | https://ror.org/04q9esz89 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I2799628689, https://openalex.org/I919208787 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | Louisiana Tech University |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Joshua Adams |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Louisiana Tech University, Ruston, LA 71272 |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | http://journal.reforestationchallenges.org/index.php/REFOR/article/download/53/pdf |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Using double-sampling techniques to reduce the number of measurement trees during forest inventories |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11880 |
| primary_topic.field.id | https://openalex.org/fields/23 |
| primary_topic.field.display_name | Environmental Science |
| primary_topic.score | 0.9997000098228455 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2309 |
| primary_topic.subfield.display_name | Nature and Landscape Conservation |
| primary_topic.display_name | Forest ecology and management |
| related_works | https://openalex.org/W2019711636, https://openalex.org/W2969373486, https://openalex.org/W2015378821, https://openalex.org/W2475090620, https://openalex.org/W4236226448, https://openalex.org/W4239771275, https://openalex.org/W2050244252, https://openalex.org/W2955157021, https://openalex.org/W164631753, https://openalex.org/W2537499819 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.21750/refor.3.04.28 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210195306 |
| best_oa_location.source.issn | 2466-4367 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2466-4367 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | REFORESTA |
| best_oa_location.source.host_organization | |
| best_oa_location.source.host_organization_name | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | http://journal.reforestationchallenges.org/index.php/REFOR/article/download/53/pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | REFORESTA |
| best_oa_location.landing_page_url | https://doi.org/10.21750/refor.3.04.28 |
| primary_location.id | doi:10.21750/refor.3.04.28 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210195306 |
| primary_location.source.issn | 2466-4367 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2466-4367 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | REFORESTA |
| primary_location.source.host_organization | |
| primary_location.source.host_organization_name | |
| primary_location.license | cc-by |
| primary_location.pdf_url | http://journal.reforestationchallenges.org/index.php/REFOR/article/download/53/pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | REFORESTA |
| primary_location.landing_page_url | https://doi.org/10.21750/refor.3.04.28 |
| publication_date | 2017-07-01 |
| publication_year | 2017 |
| referenced_works | https://openalex.org/W2969387184, https://openalex.org/W1991056028, https://openalex.org/W1495669114 |
| referenced_works_count | 3 |
| abstract_inverted_index.a | 14, 34, 80, 89, 101, 243 |
| abstract_inverted_index.If | 98 |
| abstract_inverted_index.at | 13, 88, 193 |
| abstract_inverted_index.be | 247 |
| abstract_inverted_index.by | 110 |
| abstract_inverted_index.in | 41, 125, 141, 209 |
| abstract_inverted_index.is | 26, 100, 122, 129, 140, 174, 218, 236 |
| abstract_inverted_index.no | 92 |
| abstract_inverted_index.of | 37, 83, 231 |
| abstract_inverted_index.on | 181, 239, 259 |
| abstract_inverted_index.to | 39, 71, 200, 205, 254 |
| abstract_inverted_index.For | 9 |
| abstract_inverted_index.all | 66 |
| abstract_inverted_index.and | 19, 23, 58, 106, 212, 227, 262 |
| abstract_inverted_index.are | 3, 21, 96, 164, 170 |
| abstract_inverted_index.can | 32, 68, 145 |
| abstract_inverted_index.for | 79 |
| abstract_inverted_index.per | 47, 56, 86, 136 |
| abstract_inverted_index.the | 42, 45, 179, 194, 229, 263 |
| abstract_inverted_index.two | 51, 120 |
| abstract_inverted_index.you | 114, 144 |
| abstract_inverted_index.WBAR | 59, 226 |
| abstract_inverted_index.acre | 48, 57, 87 |
| abstract_inverted_index.also | 171 |
| abstract_inverted_index.area | 55, 63, 85, 113, 134, 156, 223 |
| abstract_inverted_index.each | 10 |
| abstract_inverted_index.fair | 35 |
| abstract_inverted_index.four | 241 |
| abstract_inverted_index.from | 250 |
| abstract_inverted_index.into | 50, 119 |
| abstract_inverted_index.know | 116 |
| abstract_inverted_index.lead | 70 |
| abstract_inverted_index.many | 150 |
| abstract_inverted_index.more | 72, 130, 147, 219 |
| abstract_inverted_index.most | 126 |
| abstract_inverted_index.only | 153 |
| abstract_inverted_index.pine | 207 |
| abstract_inverted_index.same | 195 |
| abstract_inverted_index.show | 216 |
| abstract_inverted_index.site | 260 |
| abstract_inverted_index.size | 191 |
| abstract_inverted_index.than | 225 |
| abstract_inverted_index.that | 152, 228 |
| abstract_inverted_index.then | 24, 109, 138 |
| abstract_inverted_index.this | 202 |
| abstract_inverted_index.time | 38 |
| abstract_inverted_index.tree | 12, 61, 94, 168 |
| abstract_inverted_index.used | 5 |
| abstract_inverted_index.were | 198 |
| abstract_inverted_index.Based | 238 |
| abstract_inverted_index.There | 173 |
| abstract_inverted_index.WBAR. | 142 |
| abstract_inverted_index.among | 132, 187, 221 |
| abstract_inverted_index.area, | 108, 183 |
| abstract_inverted_index.basal | 54, 84, 107, 112, 133, 155, 182, 222 |
| abstract_inverted_index.being | 233 |
| abstract_inverted_index.cases | 127 |
| abstract_inverted_index.could | 246 |
| abstract_inverted_index.etc., | 185 |
| abstract_inverted_index.every | 251, 255 |
| abstract_inverted_index.fifth | 256 |
| abstract_inverted_index.often | 69, 158 |
| abstract_inverted_index.other | 252 |
| abstract_inverted_index.point | 90, 137, 245, 253, 257 |
| abstract_inverted_index.quick | 81 |
| abstract_inverted_index.since | 91 |
| abstract_inverted_index.site. | 196 |
| abstract_inverted_index.spend | 146 |
| abstract_inverted_index.there | 99, 128, 139, 217 |
| abstract_inverted_index.these | 240 |
| abstract_inverted_index.those | 165 |
| abstract_inverted_index.trees | 232 |
| abstract_inverted_index.using | 28 |
| abstract_inverted_index.where | 166 |
| abstract_inverted_index.Hence, | 143 |
| abstract_inverted_index.across | 65 |
| abstract_inverted_index.allows | 78 |
| abstract_inverted_index.amount | 36, 230 |
| abstract_inverted_index.called | 159 |
| abstract_inverted_index.during | 6 |
| abstract_inverted_index.forest | 7 |
| abstract_inverted_index.little | 175 |
| abstract_inverted_index.point, | 17 |
| abstract_inverted_index.points | 151, 163 |
| abstract_inverted_index.ratio) | 64 |
| abstract_inverted_index.ratios | 192 |
| abstract_inverted_index.sample | 11, 190 |
| abstract_inverted_index.strong | 102 |
| abstract_inverted_index.weight | 25, 46, 105 |
| abstract_inverted_index.Heights | 31 |
| abstract_inverted_index.Results | 215 |
| abstract_inverted_index.average | 53 |
| abstract_inverted_index.because | 124 |
| abstract_inverted_index.between | 104 |
| abstract_inverted_index.desired | 264 |
| abstract_inverted_index.impacts | 180 |
| abstract_inverted_index.knowing | 111 |
| abstract_inverted_index.measure | 40 |
| abstract_inverted_index.points, | 67 |
| abstract_inverted_index.points. | 161 |
| abstract_inverted_index.ranging | 249 |
| abstract_inverted_index.require | 33 |
| abstract_inverted_index.weight, | 184 |
| abstract_inverted_index.Arkansas | 211 |
| abstract_inverted_index.commonly | 4 |
| abstract_inverted_index.diameter | 18 |
| abstract_inverted_index.estimate | 49, 82, 154 |
| abstract_inverted_index.examined | 199 |
| abstract_inverted_index.field. | 43 |
| abstract_inverted_index.loblolly | 206 |
| abstract_inverted_index.measured | 22, 235 |
| abstract_inverted_index.northern | 213 |
| abstract_inverted_index.sampling | 1, 16, 74, 77 |
| abstract_inverted_index.schemes. | 75 |
| abstract_inverted_index.southern | 210 |
| abstract_inverted_index.– | 157 |
| abstract_inverted_index.depending | 258 |
| abstract_inverted_index.determine | 201 |
| abstract_inverted_index.different | 188 |
| abstract_inverted_index.efficient | 73 |
| abstract_inverted_index.estimated | 27 |
| abstract_inverted_index.estimates | 135, 186, 224 |
| abstract_inverted_index.height(s) | 20 |
| abstract_inverted_index.installed | 248 |
| abstract_inverted_index.needed. | 97 |
| abstract_inverted_index.published | 176 |
| abstract_inverted_index.resources | 148 |
| abstract_inverted_index.variable. | 265 |
| abstract_inverted_index.weight. | 117 |
| abstract_inverted_index.Louisiana. | 214 |
| abstract_inverted_index.Separating | 44 |
| abstract_inverted_index.Separation | 118 |
| abstract_inverted_index.components | 121 |
| abstract_inverted_index.conditions | 261 |
| abstract_inverted_index.conducted. | 172 |
| abstract_inverted_index.individual | 93, 167 |
| abstract_inverted_index.particular | 15 |
| abstract_inverted_index.techniques | 2 |
| abstract_inverted_index.(individual | 60 |
| abstract_inverted_index.Inventories | 197 |
| abstract_inverted_index.components; | 52 |
| abstract_inverted_index.essentially | 115 |
| abstract_inverted_index.established | 29 |
| abstract_inverted_index.information | 177 |
| abstract_inverted_index.plantations | 208 |
| abstract_inverted_index.quantifying | 178 |
| abstract_inverted_index.variability | 131, 220 |
| abstract_inverted_index.advantageous | 123 |
| abstract_inverted_index.equations. | 30 |
| abstract_inverted_index.establishing | 149 |
| abstract_inverted_index.excessive. | 237 |
| abstract_inverted_index.inventories. | 8 |
| abstract_inverted_index.measurements | 95, 169 |
| abstract_inverted_index.plantations, | 242 |
| abstract_inverted_index.relationship | 103 |
| abstract_inverted_index.weight-basal | 62 |
| abstract_inverted_index.applicability | 204 |
| abstract_inverted_index.Variable-radius | 0, 76 |
| abstract_inverted_index.method’s | 203 |
| abstract_inverted_index.“Full†| 162, 244 |
| abstract_inverted_index.“Count†| 160 |
| abstract_inverted_index.“Full/Count†| 189 |
| abstract_inverted_index.“intensively†| 234 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/15 |
| sustainable_development_goals[0].score | 0.6899999976158142 |
| sustainable_development_goals[0].display_name | Life in Land |
| citation_normalized_percentile.value | 0.07789727 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |