Improved root turnover assessment using field scanning rhizotrons with branch order analysis Article Swipe
Root turnover is a key process contributing to soil carbon storage, nutrient cycling, and other ecosystem functions. However, quantifying root turnover rates remains highly uncertain and methodologically challenging. Field rhizotrons were employed to quantify root turnover times using median longevities of five branching orders in a Larix gmelinii plantation. Root images were recorded by scanning the rhizotron windows at a monthly interval during four growing seasons. Root demographic data and branching orders were obtained by analyzing these images using Rootfly software coupled with manual mouse‐tracing of individual roots. Root longevities and turnover estimates were calculated using these data. Roots of different branching orders showed significantly different turnover times. The mean turnover times of the first‐order roots and second‐order roots were 284 and 994 d, respectively. Roots of higher branching orders (third to fifth orders) remained alive at the end of the 4‐yr experimental period, indicating much longer turnover times than the duration of the experiment. Root turnover times increased exponentially with branching orders. Further analysis of these data suggested that root branching orders combined with sampling biases, timing of root cohorts, and longevity distribution patterns crucially influenced root turnover times. The method of combining field glass rhizotrons with electronic scanning permits quantification of root turnover for five branching orders in a temperate forest. The overall result empirically demonstrates the crucial role of branching orders for accurately quantifying root turnover times.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/ecs2.2793
- https://esajournals.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ecs2.2793
- OA Status
- gold
- Cited By
- 11
- References
- 44
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2967841659
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2967841659Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1002/ecs2.2793Digital Object Identifier
- Title
-
Improved root turnover assessment using field scanning rhizotrons with branch order analysisWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-08-01Full publication date if available
- Authors
-
Changfu Huo, Weixin ChengList of authors in order
- Landing page
-
https://doi.org/10.1002/ecs2.2793Publisher landing page
- PDF URL
-
https://esajournals.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ecs2.2793Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://esajournals.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ecs2.2793Direct OA link when available
- Concepts
-
Botany, Turnover, Biology, Horticulture, Economics, ManagementTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
11Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 5, 2023: 2, 2022: 3, 2021: 1Per-year citation counts (last 5 years)
- References (count)
-
44Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W2967841659 |
|---|---|
| doi | https://doi.org/10.1002/ecs2.2793 |
| ids.doi | https://doi.org/10.1002/ecs2.2793 |
| ids.mag | 2967841659 |
| ids.openalex | https://openalex.org/W2967841659 |
| fwci | 0.83610617 |
| type | article |
| title | Improved root turnover assessment using field scanning rhizotrons with branch order analysis |
| awards[0].id | https://openalex.org/G7503315813 |
| awards[0].funder_id | https://openalex.org/F4320321001 |
| awards[0].display_name | |
| awards[0].funder_award_id | 31570620 |
| awards[0].funder_display_name | National Natural Science Foundation of China |
| biblio.issue | 8 |
| biblio.volume | 10 |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10004 |
| topics[0].field.id | https://openalex.org/fields/11 |
| topics[0].field.display_name | Agricultural and Biological Sciences |
| topics[0].score | 0.9984999895095825 |
| topics[0].domain.id | https://openalex.org/domains/1 |
| topics[0].domain.display_name | Life Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1111 |
| topics[0].subfield.display_name | Soil Science |
| topics[0].display_name | Soil Carbon and Nitrogen Dynamics |
| topics[1].id | https://openalex.org/T11247 |
| topics[1].field.id | https://openalex.org/fields/11 |
| topics[1].field.display_name | Agricultural and Biological Sciences |
| topics[1].score | 0.9983999729156494 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1110 |
| topics[1].subfield.display_name | Plant Science |
| topics[1].display_name | Plant nutrient uptake and metabolism |
| topics[2].id | https://openalex.org/T10266 |
| topics[2].field.id | https://openalex.org/fields/23 |
| topics[2].field.display_name | Environmental Science |
| topics[2].score | 0.9947999715805054 |
| 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 | Plant Water Relations and Carbon Dynamics |
| funders[0].id | https://openalex.org/F4320321001 |
| funders[0].ror | https://ror.org/01h0zpd94 |
| funders[0].display_name | National Natural Science Foundation of China |
| is_xpac | False |
| apc_list.value | 1550 |
| apc_list.currency | EUR |
| apc_list.value_usd | 1925 |
| apc_paid.value | 1550 |
| apc_paid.currency | EUR |
| apc_paid.value_usd | 1925 |
| concepts[0].id | https://openalex.org/C59822182 |
| concepts[0].level | 1 |
| concepts[0].score | 0.46551039814949036 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q441 |
| concepts[0].display_name | Botany |
| concepts[1].id | https://openalex.org/C26077564 |
| concepts[1].level | 2 |
| concepts[1].score | 0.41624966263771057 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1910318 |
| concepts[1].display_name | Turnover |
| concepts[2].id | https://openalex.org/C86803240 |
| concepts[2].level | 0 |
| concepts[2].score | 0.36611753702163696 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[2].display_name | Biology |
| concepts[3].id | https://openalex.org/C144027150 |
| concepts[3].level | 1 |
| concepts[3].score | 0.3426591753959656 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q48803 |
| concepts[3].display_name | Horticulture |
| concepts[4].id | https://openalex.org/C162324750 |
| concepts[4].level | 0 |
| concepts[4].score | 0.0 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q8134 |
| concepts[4].display_name | Economics |
| concepts[5].id | https://openalex.org/C187736073 |
| concepts[5].level | 1 |
| concepts[5].score | 0.0 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q2920921 |
| concepts[5].display_name | Management |
| keywords[0].id | https://openalex.org/keywords/botany |
| keywords[0].score | 0.46551039814949036 |
| keywords[0].display_name | Botany |
| keywords[1].id | https://openalex.org/keywords/turnover |
| keywords[1].score | 0.41624966263771057 |
| keywords[1].display_name | Turnover |
| keywords[2].id | https://openalex.org/keywords/biology |
| keywords[2].score | 0.36611753702163696 |
| keywords[2].display_name | Biology |
| keywords[3].id | https://openalex.org/keywords/horticulture |
| keywords[3].score | 0.3426591753959656 |
| keywords[3].display_name | Horticulture |
| language | en |
| locations[0].id | doi:10.1002/ecs2.2793 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S98723585 |
| locations[0].source.issn | 2150-8925 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2150-8925 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Ecosphere |
| locations[0].source.host_organization | https://openalex.org/P4310320595 |
| locations[0].source.host_organization_name | Wiley |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320595 |
| locations[0].source.host_organization_lineage_names | Wiley |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://esajournals.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ecs2.2793 |
| 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 | Ecosphere |
| locations[0].landing_page_url | https://doi.org/10.1002/ecs2.2793 |
| locations[1].id | pmh:oai:doaj.org/article:6500341d6cdf4be4928ece19fd16a357 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | cc-by-sa |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | https://openalex.org/licenses/cc-by-sa |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Ecosphere, Vol 10, Iss 8, Pp n/a-n/a (2019) |
| locations[1].landing_page_url | https://doaj.org/article/6500341d6cdf4be4928ece19fd16a357 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5006490860 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-8221-2055 |
| authorships[0].author.display_name | Changfu Huo |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210110024 |
| authorships[0].affiliations[0].raw_affiliation_string | Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016 China |
| authorships[0].institutions[0].id | https://openalex.org/I19820366 |
| authorships[0].institutions[0].ror | https://ror.org/034t30j35 |
| authorships[0].institutions[0].type | government |
| authorships[0].institutions[0].lineage | https://openalex.org/I19820366 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Chinese Academy of Sciences |
| authorships[0].institutions[1].id | https://openalex.org/I4210110024 |
| authorships[0].institutions[1].ror | https://ror.org/01thb7525 |
| authorships[0].institutions[1].type | facility |
| authorships[0].institutions[1].lineage | https://openalex.org/I19820366, https://openalex.org/I4210110024 |
| authorships[0].institutions[1].country_code | CN |
| authorships[0].institutions[1].display_name | Institute of Applied Ecology |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Changfu Huo |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016 China |
| authorships[1].author.id | https://openalex.org/A5078244507 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-2964-2376 |
| authorships[1].author.display_name | Weixin Cheng |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I185103710 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Environmental Studies, University of California, Santa Cruz, California, 95064 USA |
| authorships[1].institutions[0].id | https://openalex.org/I185103710 |
| authorships[1].institutions[0].ror | https://ror.org/03s65by71 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I185103710 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | University of California, Santa Cruz |
| authorships[1].author_position | last |
| authorships[1].raw_author_name | Weixin Cheng |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Environmental Studies, University of California, Santa Cruz, California, 95064 USA |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://esajournals.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ecs2.2793 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Improved root turnover assessment using field scanning rhizotrons with branch order analysis |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10004 |
| primary_topic.field.id | https://openalex.org/fields/11 |
| primary_topic.field.display_name | Agricultural and Biological Sciences |
| primary_topic.score | 0.9984999895095825 |
| primary_topic.domain.id | https://openalex.org/domains/1 |
| primary_topic.domain.display_name | Life Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1111 |
| primary_topic.subfield.display_name | Soil Science |
| primary_topic.display_name | Soil Carbon and Nitrogen Dynamics |
| related_works | https://openalex.org/W2082860237, https://openalex.org/W1990804418, https://openalex.org/W2130076355, https://openalex.org/W1993764875, https://openalex.org/W1641042124, https://openalex.org/W2013243191, https://openalex.org/W2151865869, https://openalex.org/W2117258802, https://openalex.org/W2051339581, https://openalex.org/W3215139134 |
| cited_by_count | 11 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 5 |
| counts_by_year[1].year | 2023 |
| counts_by_year[1].cited_by_count | 2 |
| counts_by_year[2].year | 2022 |
| counts_by_year[2].cited_by_count | 3 |
| counts_by_year[3].year | 2021 |
| counts_by_year[3].cited_by_count | 1 |
| locations_count | 2 |
| best_oa_location.id | doi:10.1002/ecs2.2793 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S98723585 |
| best_oa_location.source.issn | 2150-8925 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2150-8925 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Ecosphere |
| best_oa_location.source.host_organization | https://openalex.org/P4310320595 |
| best_oa_location.source.host_organization_name | Wiley |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320595 |
| best_oa_location.source.host_organization_lineage_names | Wiley |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://esajournals.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ecs2.2793 |
| 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 | Ecosphere |
| best_oa_location.landing_page_url | https://doi.org/10.1002/ecs2.2793 |
| primary_location.id | doi:10.1002/ecs2.2793 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S98723585 |
| primary_location.source.issn | 2150-8925 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2150-8925 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Ecosphere |
| primary_location.source.host_organization | https://openalex.org/P4310320595 |
| primary_location.source.host_organization_name | Wiley |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320595 |
| primary_location.source.host_organization_lineage_names | Wiley |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://esajournals.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ecs2.2793 |
| 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 | Ecosphere |
| primary_location.landing_page_url | https://doi.org/10.1002/ecs2.2793 |
| publication_date | 2019-08-01 |
| publication_year | 2019 |
| referenced_works | https://openalex.org/W2021905963, https://openalex.org/W2138789803, https://openalex.org/W2465506589, https://openalex.org/W2165634583, https://openalex.org/W4206049288, https://openalex.org/W1687750959, https://openalex.org/W2600739158, https://openalex.org/W1562577050, https://openalex.org/W2155002710, https://openalex.org/W1838528848, https://openalex.org/W2132238131, https://openalex.org/W2738672538, https://openalex.org/W2102870290, https://openalex.org/W2044374237, https://openalex.org/W563888835, https://openalex.org/W2170909324, https://openalex.org/W2132559026, https://openalex.org/W2012164949, https://openalex.org/W24900605, https://openalex.org/W2084014526, https://openalex.org/W2507679772, https://openalex.org/W1891770266, https://openalex.org/W2277448137, https://openalex.org/W2170656610, https://openalex.org/W1992237969, https://openalex.org/W2160542921, https://openalex.org/W2742094571, https://openalex.org/W2096567926, https://openalex.org/W2166350657, https://openalex.org/W2115863251, https://openalex.org/W2158978667, https://openalex.org/W2883915198, https://openalex.org/W2041730142, https://openalex.org/W2016868225, https://openalex.org/W2409372981, https://openalex.org/W2133723513, https://openalex.org/W2097948872, https://openalex.org/W2099334337, https://openalex.org/W2023360473, https://openalex.org/W2011970372, https://openalex.org/W2134181923, https://openalex.org/W2120622913, https://openalex.org/W2146685130, https://openalex.org/W2095896134 |
| referenced_works_count | 44 |
| abstract_inverted_index.a | 4, 46, 60, 211 |
| abstract_inverted_index.at | 59, 137 |
| abstract_inverted_index.by | 54, 75 |
| abstract_inverted_index.d, | 124 |
| abstract_inverted_index.in | 45, 210 |
| abstract_inverted_index.is | 3 |
| abstract_inverted_index.of | 41, 86, 100, 113, 127, 140, 153, 166, 179, 193, 203, 222 |
| abstract_inverted_index.to | 8, 33, 132 |
| abstract_inverted_index.284 | 121 |
| abstract_inverted_index.994 | 123 |
| abstract_inverted_index.The | 109, 191, 214 |
| abstract_inverted_index.and | 14, 26, 70, 91, 117, 122, 182 |
| abstract_inverted_index.end | 139 |
| abstract_inverted_index.for | 206, 225 |
| abstract_inverted_index.key | 5 |
| abstract_inverted_index.the | 56, 114, 138, 141, 151, 154, 219 |
| abstract_inverted_index.Root | 1, 50, 67, 89, 156 |
| abstract_inverted_index.data | 69, 168 |
| abstract_inverted_index.five | 42, 207 |
| abstract_inverted_index.four | 64 |
| abstract_inverted_index.mean | 110 |
| abstract_inverted_index.much | 146 |
| abstract_inverted_index.role | 221 |
| abstract_inverted_index.root | 20, 35, 171, 180, 188, 204, 228 |
| abstract_inverted_index.soil | 9 |
| abstract_inverted_index.than | 150 |
| abstract_inverted_index.that | 170 |
| abstract_inverted_index.were | 31, 52, 73, 94, 120 |
| abstract_inverted_index.with | 83, 161, 175, 198 |
| abstract_inverted_index.Field | 29 |
| abstract_inverted_index.Larix | 47 |
| abstract_inverted_index.Roots | 99, 126 |
| abstract_inverted_index.alive | 136 |
| abstract_inverted_index.data. | 98 |
| abstract_inverted_index.field | 195 |
| abstract_inverted_index.fifth | 133 |
| abstract_inverted_index.glass | 196 |
| abstract_inverted_index.other | 15 |
| abstract_inverted_index.rates | 22 |
| abstract_inverted_index.roots | 116, 119 |
| abstract_inverted_index.these | 77, 97, 167 |
| abstract_inverted_index.times | 37, 112, 149, 158 |
| abstract_inverted_index.using | 38, 79, 96 |
| abstract_inverted_index.(third | 131 |
| abstract_inverted_index.4‐yr | 142 |
| abstract_inverted_index.carbon | 10 |
| abstract_inverted_index.during | 63 |
| abstract_inverted_index.higher | 128 |
| abstract_inverted_index.highly | 24 |
| abstract_inverted_index.images | 51, 78 |
| abstract_inverted_index.longer | 147 |
| abstract_inverted_index.manual | 84 |
| abstract_inverted_index.median | 39 |
| abstract_inverted_index.method | 192 |
| abstract_inverted_index.orders | 44, 72, 103, 130, 173, 209, 224 |
| abstract_inverted_index.result | 216 |
| abstract_inverted_index.roots. | 88 |
| abstract_inverted_index.showed | 104 |
| abstract_inverted_index.times. | 108, 190, 230 |
| abstract_inverted_index.timing | 178 |
| abstract_inverted_index.Further | 164 |
| abstract_inverted_index.Rootfly | 80 |
| abstract_inverted_index.biases, | 177 |
| abstract_inverted_index.coupled | 82 |
| abstract_inverted_index.crucial | 220 |
| abstract_inverted_index.forest. | 213 |
| abstract_inverted_index.growing | 65 |
| abstract_inverted_index.monthly | 61 |
| abstract_inverted_index.orders) | 134 |
| abstract_inverted_index.orders. | 163 |
| abstract_inverted_index.overall | 215 |
| abstract_inverted_index.period, | 144 |
| abstract_inverted_index.permits | 201 |
| abstract_inverted_index.process | 6 |
| abstract_inverted_index.remains | 23 |
| abstract_inverted_index.windows | 58 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.However, | 18 |
| abstract_inverted_index.analysis | 165 |
| abstract_inverted_index.cohorts, | 181 |
| abstract_inverted_index.combined | 174 |
| abstract_inverted_index.cycling, | 13 |
| abstract_inverted_index.duration | 152 |
| abstract_inverted_index.employed | 32 |
| abstract_inverted_index.gmelinii | 48 |
| abstract_inverted_index.interval | 62 |
| abstract_inverted_index.nutrient | 12 |
| abstract_inverted_index.obtained | 74 |
| abstract_inverted_index.patterns | 185 |
| abstract_inverted_index.quantify | 34 |
| abstract_inverted_index.recorded | 53 |
| abstract_inverted_index.remained | 135 |
| abstract_inverted_index.sampling | 176 |
| abstract_inverted_index.scanning | 55, 200 |
| abstract_inverted_index.seasons. | 66 |
| abstract_inverted_index.software | 81 |
| abstract_inverted_index.storage, | 11 |
| abstract_inverted_index.turnover | 2, 21, 36, 92, 107, 111, 148, 157, 189, 205, 229 |
| abstract_inverted_index.analyzing | 76 |
| abstract_inverted_index.branching | 43, 71, 102, 129, 162, 172, 208, 223 |
| abstract_inverted_index.combining | 194 |
| abstract_inverted_index.crucially | 186 |
| abstract_inverted_index.different | 101, 106 |
| abstract_inverted_index.ecosystem | 16 |
| abstract_inverted_index.estimates | 93 |
| abstract_inverted_index.increased | 159 |
| abstract_inverted_index.longevity | 183 |
| abstract_inverted_index.rhizotron | 57 |
| abstract_inverted_index.suggested | 169 |
| abstract_inverted_index.temperate | 212 |
| abstract_inverted_index.uncertain | 25 |
| abstract_inverted_index.accurately | 226 |
| abstract_inverted_index.calculated | 95 |
| abstract_inverted_index.electronic | 199 |
| abstract_inverted_index.functions. | 17 |
| abstract_inverted_index.indicating | 145 |
| abstract_inverted_index.individual | 87 |
| abstract_inverted_index.influenced | 187 |
| abstract_inverted_index.rhizotrons | 30, 197 |
| abstract_inverted_index.demographic | 68 |
| abstract_inverted_index.empirically | 217 |
| abstract_inverted_index.experiment. | 155 |
| abstract_inverted_index.longevities | 40, 90 |
| abstract_inverted_index.plantation. | 49 |
| abstract_inverted_index.quantifying | 19, 227 |
| abstract_inverted_index.challenging. | 28 |
| abstract_inverted_index.contributing | 7 |
| abstract_inverted_index.demonstrates | 218 |
| abstract_inverted_index.distribution | 184 |
| abstract_inverted_index.experimental | 143 |
| abstract_inverted_index.exponentially | 160 |
| abstract_inverted_index.first‐order | 115 |
| abstract_inverted_index.respectively. | 125 |
| abstract_inverted_index.significantly | 105 |
| abstract_inverted_index.quantification | 202 |
| abstract_inverted_index.second‐order | 118 |
| abstract_inverted_index.mouse‐tracing | 85 |
| abstract_inverted_index.methodologically | 27 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5006490860 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 2 |
| corresponding_institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210110024 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/15 |
| sustainable_development_goals[0].score | 0.7200000286102295 |
| sustainable_development_goals[0].display_name | Life in Land |
| citation_normalized_percentile.value | 0.7469953 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |