Characterization of forest edge structure from airborne laser scanning data Article Swipe
Moritz Bruggisser
,
Zuyuan Wang
,
Christian Ginzler
,
Clare Webster
,
Lars T. Waser
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.ecolind.2024.111624
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.ecolind.2024.111624
Forest edges represent the transition zone (ecotone) between the forest interior and the surrounding open land. Due to their great ecological importance, the value of assessing the structure of forest edges has been recognized. In Switzerland, for example, forest edge structure is assessed during field surveys of the Swiss National Forest Inventory (NFI). However, these assessments are time consuming and limited to sample plots. Publicly available countrywide airborne laser scanning (ALS) data, in contrast, offers possibilities to retrieve forest edge structure information over large spatial extents. In this study, we derived five metrics from ALS point clouds, namely the canopy height variability; ratios of the areas of the three edge components, i.e. shrub belt, shelterbelt and forest layer; the sky-view fraction; the shelterbelt slope; and the front density of the forest edge. These metrics describe the three-dimensional edge structure and therefore could enhance existing NFI edge metrics, which focus on two-dimensional structure characteristics. An expert assessment of the ALS edge metrics demonstrated the ability of the defined set of edge metrics to capture ecologically relevant and indicative characteristics of forest edges. Understanding this relationship between edge metrics and ecological functions is a prerequisite if ALS metrics are to be integrated into NFIs. We subsequently used the ALS edge metrics to group 284 forest edge into three classes with respect to their structural complexity using k-means clustering. The results indicated that the structual complexity was low for 173, medium for 46 and high for 65 forest edges, respectively. Applied to countrywide ALS data sets, our approach allows to retrieve area-wide, spatially continuous information on the forest edge conditions, and, if multitemporal ALS data is available, to monitor the development of the forest edges.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.ecolind.2024.111624
- OA Status
- gold
- Cited By
- 2
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391286494
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4391286494Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.ecolind.2024.111624Digital Object Identifier
- Title
-
Characterization of forest edge structure from airborne laser scanning dataWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-27Full publication date if available
- Authors
-
Moritz Bruggisser, Zuyuan Wang, Christian Ginzler, Clare Webster, Lars T. WaserList of authors in order
- Landing page
-
https://doi.org/10.1016/j.ecolind.2024.111624Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.ecolind.2024.111624Direct OA link when available
- Concepts
-
Laser scanning, Environmental science, Remote sensing, Geography, Ecology, Forestry, Agroforestry, Laser, Biology, Optics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2Per-year citation counts (last 5 years)
- References (count)
-
24Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4391286494 |
|---|---|
| doi | https://doi.org/10.1016/j.ecolind.2024.111624 |
| ids.doi | https://doi.org/10.1016/j.ecolind.2024.111624 |
| ids.openalex | https://openalex.org/W4391286494 |
| fwci | 0.77495023 |
| type | article |
| title | Characterization of forest edge structure from airborne laser scanning data |
| biblio.issue | |
| biblio.volume | 159 |
| biblio.last_page | 111624 |
| biblio.first_page | 111624 |
| topics[0].id | https://openalex.org/T11164 |
| topics[0].field.id | https://openalex.org/fields/23 |
| topics[0].field.display_name | Environmental Science |
| topics[0].score | 0.9998999834060669 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2305 |
| topics[0].subfield.display_name | Environmental Engineering |
| topics[0].display_name | Remote Sensing and LiDAR Applications |
| topics[1].id | https://openalex.org/T11880 |
| 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/2309 |
| topics[1].subfield.display_name | Nature and Landscape Conservation |
| topics[1].display_name | Forest ecology and management |
| topics[2].id | https://openalex.org/T12713 |
| topics[2].field.id | https://openalex.org/fields/11 |
| topics[2].field.display_name | Agricultural and Biological Sciences |
| topics[2].score | 0.9965000152587891 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1109 |
| topics[2].subfield.display_name | Insect Science |
| topics[2].display_name | Forest Ecology and Biodiversity Studies |
| funders[0].id | https://openalex.org/F4320329132 |
| funders[0].ror | https://ror.org/04bs5yc70 |
| funders[0].display_name | Swiss Federal Institute for Forest, Snow and Landscape Research |
| funders[1].id | https://openalex.org/F4320334856 |
| funders[1].ror | https://ror.org/04t48sm91 |
| funders[1].display_name | Bundesamt für Umwelt |
| is_xpac | False |
| apc_list.value | 2500 |
| apc_list.currency | USD |
| apc_list.value_usd | 2500 |
| apc_paid.value | 2500 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 2500 |
| concepts[0].id | https://openalex.org/C141349535 |
| concepts[0].level | 3 |
| concepts[0].score | 0.636379599571228 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q1361664 |
| concepts[0].display_name | Laser scanning |
| concepts[1].id | https://openalex.org/C39432304 |
| concepts[1].level | 0 |
| concepts[1].score | 0.461969792842865 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q188847 |
| concepts[1].display_name | Environmental science |
| concepts[2].id | https://openalex.org/C62649853 |
| concepts[2].level | 1 |
| concepts[2].score | 0.4487055838108063 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q199687 |
| concepts[2].display_name | Remote sensing |
| concepts[3].id | https://openalex.org/C205649164 |
| concepts[3].level | 0 |
| concepts[3].score | 0.41549837589263916 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[3].display_name | Geography |
| concepts[4].id | https://openalex.org/C18903297 |
| concepts[4].level | 1 |
| concepts[4].score | 0.3641848862171173 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q7150 |
| concepts[4].display_name | Ecology |
| concepts[5].id | https://openalex.org/C97137747 |
| concepts[5].level | 1 |
| concepts[5].score | 0.3428076505661011 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q38112 |
| concepts[5].display_name | Forestry |
| concepts[6].id | https://openalex.org/C54286561 |
| concepts[6].level | 1 |
| concepts[6].score | 0.33858948945999146 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q397350 |
| concepts[6].display_name | Agroforestry |
| concepts[7].id | https://openalex.org/C520434653 |
| concepts[7].level | 2 |
| concepts[7].score | 0.27447932958602905 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q38867 |
| concepts[7].display_name | Laser |
| concepts[8].id | https://openalex.org/C86803240 |
| concepts[8].level | 0 |
| concepts[8].score | 0.11848056316375732 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[8].display_name | Biology |
| concepts[9].id | https://openalex.org/C120665830 |
| concepts[9].level | 1 |
| concepts[9].score | 0.08440467715263367 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q14620 |
| concepts[9].display_name | Optics |
| concepts[10].id | https://openalex.org/C121332964 |
| concepts[10].level | 0 |
| concepts[10].score | 0.07717356085777283 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[10].display_name | Physics |
| keywords[0].id | https://openalex.org/keywords/laser-scanning |
| keywords[0].score | 0.636379599571228 |
| keywords[0].display_name | Laser scanning |
| keywords[1].id | https://openalex.org/keywords/environmental-science |
| keywords[1].score | 0.461969792842865 |
| keywords[1].display_name | Environmental science |
| keywords[2].id | https://openalex.org/keywords/remote-sensing |
| keywords[2].score | 0.4487055838108063 |
| keywords[2].display_name | Remote sensing |
| keywords[3].id | https://openalex.org/keywords/geography |
| keywords[3].score | 0.41549837589263916 |
| keywords[3].display_name | Geography |
| keywords[4].id | https://openalex.org/keywords/ecology |
| keywords[4].score | 0.3641848862171173 |
| keywords[4].display_name | Ecology |
| keywords[5].id | https://openalex.org/keywords/forestry |
| keywords[5].score | 0.3428076505661011 |
| keywords[5].display_name | Forestry |
| keywords[6].id | https://openalex.org/keywords/agroforestry |
| keywords[6].score | 0.33858948945999146 |
| keywords[6].display_name | Agroforestry |
| keywords[7].id | https://openalex.org/keywords/laser |
| keywords[7].score | 0.27447932958602905 |
| keywords[7].display_name | Laser |
| keywords[8].id | https://openalex.org/keywords/biology |
| keywords[8].score | 0.11848056316375732 |
| keywords[8].display_name | Biology |
| keywords[9].id | https://openalex.org/keywords/optics |
| keywords[9].score | 0.08440467715263367 |
| keywords[9].display_name | Optics |
| keywords[10].id | https://openalex.org/keywords/physics |
| keywords[10].score | 0.07717356085777283 |
| keywords[10].display_name | Physics |
| language | en |
| locations[0].id | doi:10.1016/j.ecolind.2024.111624 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S194154261 |
| locations[0].source.issn | 1470-160X, 1872-7034 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1470-160X |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Ecological Indicators |
| locations[0].source.host_organization | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_name | Elsevier BV |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_lineage_names | Elsevier BV |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| 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 | Ecological Indicators |
| locations[0].landing_page_url | https://doi.org/10.1016/j.ecolind.2024.111624 |
| locations[1].id | pmh:oai:doaj.org/article:8a9a7b97ff344d59a3a68e3e6d1f52ed |
| locations[1].is_oa | False |
| 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 | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Ecological Indicators, Vol 159, Iss , Pp 111624- (2024) |
| locations[1].landing_page_url | https://doaj.org/article/8a9a7b97ff344d59a3a68e3e6d1f52ed |
| locations[2].id | pmh:oai:dora:wsl_35942 |
| locations[2].is_oa | False |
| locations[2].source.id | https://openalex.org/S4306400127 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | DORA Eawag (Swiss Federal Institute of Aquatic Science and Technology (Eawag)) |
| locations[2].source.host_organization | https://openalex.org/I63664421 |
| locations[2].source.host_organization_name | Swiss Federal Institute of Aquatic Science and Technology |
| locations[2].source.host_organization_lineage | https://openalex.org/I63664421 |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | |
| locations[2].landing_page_url | https://www.dora.lib4ri.ch/wsl/islandora/object/wsl%3A35942 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5091409475 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-2138-8038 |
| authorships[0].author.display_name | Moritz Bruggisser |
| authorships[0].countries | CH |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I2800262456 |
| authorships[0].affiliations[0].raw_affiliation_string | Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland |
| authorships[0].institutions[0].id | https://openalex.org/I2800262456 |
| authorships[0].institutions[0].ror | https://ror.org/04bs5yc70 |
| authorships[0].institutions[0].type | facility |
| authorships[0].institutions[0].lineage | https://openalex.org/I2799323385, https://openalex.org/I2800262456 |
| authorships[0].institutions[0].country_code | CH |
| authorships[0].institutions[0].display_name | Swiss Federal Institute for Forest, Snow and Landscape Research |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Moritz Bruggisser |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland |
| authorships[1].author.id | https://openalex.org/A5065978995 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-8510-3938 |
| authorships[1].author.display_name | Zuyuan Wang |
| authorships[1].countries | CH |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I2800262456 |
| authorships[1].affiliations[0].raw_affiliation_string | Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland |
| authorships[1].institutions[0].id | https://openalex.org/I2800262456 |
| authorships[1].institutions[0].ror | https://ror.org/04bs5yc70 |
| authorships[1].institutions[0].type | facility |
| authorships[1].institutions[0].lineage | https://openalex.org/I2799323385, https://openalex.org/I2800262456 |
| authorships[1].institutions[0].country_code | CH |
| authorships[1].institutions[0].display_name | Swiss Federal Institute for Forest, Snow and Landscape Research |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Zuyuan Wang |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland |
| authorships[2].author.id | https://openalex.org/A5027450737 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-6365-2151 |
| authorships[2].author.display_name | Christian Ginzler |
| authorships[2].countries | CH |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I2800262456 |
| authorships[2].affiliations[0].raw_affiliation_string | Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland |
| authorships[2].institutions[0].id | https://openalex.org/I2800262456 |
| authorships[2].institutions[0].ror | https://ror.org/04bs5yc70 |
| authorships[2].institutions[0].type | facility |
| authorships[2].institutions[0].lineage | https://openalex.org/I2799323385, https://openalex.org/I2800262456 |
| authorships[2].institutions[0].country_code | CH |
| authorships[2].institutions[0].display_name | Swiss Federal Institute for Forest, Snow and Landscape Research |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Christian Ginzler |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland |
| authorships[3].author.id | https://openalex.org/A5016392895 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-6386-6392 |
| authorships[3].author.display_name | Clare Webster |
| authorships[3].countries | CH, NO |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I184942183 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Geosciences, University of Oslo, Oslo, Norway |
| authorships[3].affiliations[1].institution_ids | https://openalex.org/I2800262456 |
| authorships[3].affiliations[1].raw_affiliation_string | WSL Institute for Snow and Avalanche Research SLF, Flüelastrasse 11, 7260 Davos Dorf, Switzerland |
| authorships[3].institutions[0].id | https://openalex.org/I2800262456 |
| authorships[3].institutions[0].ror | https://ror.org/04bs5yc70 |
| authorships[3].institutions[0].type | facility |
| authorships[3].institutions[0].lineage | https://openalex.org/I2799323385, https://openalex.org/I2800262456 |
| authorships[3].institutions[0].country_code | CH |
| authorships[3].institutions[0].display_name | Swiss Federal Institute for Forest, Snow and Landscape Research |
| authorships[3].institutions[1].id | https://openalex.org/I184942183 |
| authorships[3].institutions[1].ror | https://ror.org/01xtthb56 |
| authorships[3].institutions[1].type | education |
| authorships[3].institutions[1].lineage | https://openalex.org/I184942183 |
| authorships[3].institutions[1].country_code | NO |
| authorships[3].institutions[1].display_name | University of Oslo |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Clare Webster |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Geosciences, University of Oslo, Oslo, Norway, WSL Institute for Snow and Avalanche Research SLF, Flüelastrasse 11, 7260 Davos Dorf, Switzerland |
| authorships[4].author.id | https://openalex.org/A5087039641 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-2609-9147 |
| authorships[4].author.display_name | Lars T. Waser |
| authorships[4].countries | CH |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I2800262456 |
| authorships[4].affiliations[0].raw_affiliation_string | Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland |
| authorships[4].institutions[0].id | https://openalex.org/I2800262456 |
| authorships[4].institutions[0].ror | https://ror.org/04bs5yc70 |
| authorships[4].institutions[0].type | facility |
| authorships[4].institutions[0].lineage | https://openalex.org/I2799323385, https://openalex.org/I2800262456 |
| authorships[4].institutions[0].country_code | CH |
| authorships[4].institutions[0].display_name | Swiss Federal Institute for Forest, Snow and Landscape Research |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Lars T. Waser |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1016/j.ecolind.2024.111624 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Characterization of forest edge structure from airborne laser scanning data |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-12-01T00:03:43.161839 |
| primary_topic.id | https://openalex.org/T11164 |
| primary_topic.field.id | https://openalex.org/fields/23 |
| primary_topic.field.display_name | Environmental Science |
| primary_topic.score | 0.9998999834060669 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2305 |
| primary_topic.subfield.display_name | Environmental Engineering |
| primary_topic.display_name | Remote Sensing and LiDAR Applications |
| related_works | https://openalex.org/W2121524756, https://openalex.org/W782553550, https://openalex.org/W2368590588, https://openalex.org/W4313058440, https://openalex.org/W2633218168, https://openalex.org/W2059707233, https://openalex.org/W1868959281, https://openalex.org/W4235897794, https://openalex.org/W1983126463, https://openalex.org/W2095126257 |
| cited_by_count | 2 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 2 |
| locations_count | 3 |
| best_oa_location.id | doi:10.1016/j.ecolind.2024.111624 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S194154261 |
| best_oa_location.source.issn | 1470-160X, 1872-7034 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1470-160X |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Ecological Indicators |
| best_oa_location.source.host_organization | https://openalex.org/P4310320990 |
| best_oa_location.source.host_organization_name | Elsevier BV |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| best_oa_location.source.host_organization_lineage_names | Elsevier BV |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| 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 | Ecological Indicators |
| best_oa_location.landing_page_url | https://doi.org/10.1016/j.ecolind.2024.111624 |
| primary_location.id | doi:10.1016/j.ecolind.2024.111624 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S194154261 |
| primary_location.source.issn | 1470-160X, 1872-7034 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1470-160X |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Ecological Indicators |
| primary_location.source.host_organization | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_name | Elsevier BV |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_lineage_names | Elsevier BV |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| 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 | Ecological Indicators |
| primary_location.landing_page_url | https://doi.org/10.1016/j.ecolind.2024.111624 |
| publication_date | 2024-01-27 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W4210444938, https://openalex.org/W1979117272, https://openalex.org/W2344727237, https://openalex.org/W2099591330, https://openalex.org/W6644682428, https://openalex.org/W4318407550, https://openalex.org/W2948664476, https://openalex.org/W3110087056, https://openalex.org/W3209864682, https://openalex.org/W2255206030, https://openalex.org/W2017912299, https://openalex.org/W4323021535, https://openalex.org/W2134974509, https://openalex.org/W4382005265, https://openalex.org/W2990710165, https://openalex.org/W2194689354, https://openalex.org/W3197578749, https://openalex.org/W4377143110, https://openalex.org/W3048702144, https://openalex.org/W2482464033, https://openalex.org/W2159352923, https://openalex.org/W2091498522, https://openalex.org/W2127631917, https://openalex.org/W1977556410 |
| referenced_works_count | 24 |
| abstract_inverted_index.a | 191 |
| abstract_inverted_index.46 | 239 |
| abstract_inverted_index.65 | 243 |
| abstract_inverted_index.An | 153 |
| abstract_inverted_index.In | 34, 86 |
| abstract_inverted_index.We | 202 |
| abstract_inverted_index.be | 198 |
| abstract_inverted_index.if | 193, 268 |
| abstract_inverted_index.in | 72 |
| abstract_inverted_index.is | 41, 190, 272 |
| abstract_inverted_index.of | 24, 28, 46, 103, 106, 128, 156, 164, 168, 178, 278 |
| abstract_inverted_index.on | 149, 262 |
| abstract_inverted_index.to | 17, 61, 76, 171, 197, 209, 219, 248, 256, 274 |
| abstract_inverted_index.we | 89 |
| abstract_inverted_index.284 | 211 |
| abstract_inverted_index.ALS | 94, 158, 194, 206, 250, 270 |
| abstract_inverted_index.Due | 16 |
| abstract_inverted_index.NFI | 144 |
| abstract_inverted_index.The | 226 |
| abstract_inverted_index.and | 11, 59, 115, 124, 139, 175, 187, 240 |
| abstract_inverted_index.are | 56, 196 |
| abstract_inverted_index.for | 36, 235, 238, 242 |
| abstract_inverted_index.has | 31 |
| abstract_inverted_index.low | 234 |
| abstract_inverted_index.our | 253 |
| abstract_inverted_index.set | 167 |
| abstract_inverted_index.the | 3, 8, 12, 22, 26, 47, 98, 104, 107, 118, 121, 125, 129, 135, 157, 162, 165, 205, 230, 263, 276, 279 |
| abstract_inverted_index.was | 233 |
| abstract_inverted_index.173, | 236 |
| abstract_inverted_index.and, | 267 |
| abstract_inverted_index.been | 32 |
| abstract_inverted_index.data | 251, 271 |
| abstract_inverted_index.edge | 39, 79, 109, 137, 145, 159, 169, 185, 207, 213, 265 |
| abstract_inverted_index.five | 91 |
| abstract_inverted_index.from | 93 |
| abstract_inverted_index.high | 241 |
| abstract_inverted_index.i.e. | 111 |
| abstract_inverted_index.into | 200, 214 |
| abstract_inverted_index.open | 14 |
| abstract_inverted_index.over | 82 |
| abstract_inverted_index.that | 229 |
| abstract_inverted_index.this | 87, 182 |
| abstract_inverted_index.time | 57 |
| abstract_inverted_index.used | 204 |
| abstract_inverted_index.with | 217 |
| abstract_inverted_index.zone | 5 |
| abstract_inverted_index.(ALS) | 70 |
| abstract_inverted_index.NFIs. | 201 |
| abstract_inverted_index.Swiss | 48 |
| abstract_inverted_index.These | 132 |
| abstract_inverted_index.areas | 105 |
| abstract_inverted_index.belt, | 113 |
| abstract_inverted_index.could | 141 |
| abstract_inverted_index.data, | 71 |
| abstract_inverted_index.edge. | 131 |
| abstract_inverted_index.edges | 1, 30 |
| abstract_inverted_index.field | 44 |
| abstract_inverted_index.focus | 148 |
| abstract_inverted_index.front | 126 |
| abstract_inverted_index.great | 19 |
| abstract_inverted_index.group | 210 |
| abstract_inverted_index.land. | 15 |
| abstract_inverted_index.large | 83 |
| abstract_inverted_index.laser | 68 |
| abstract_inverted_index.point | 95 |
| abstract_inverted_index.sets, | 252 |
| abstract_inverted_index.shrub | 112 |
| abstract_inverted_index.their | 18, 220 |
| abstract_inverted_index.these | 54 |
| abstract_inverted_index.three | 108, 215 |
| abstract_inverted_index.using | 223 |
| abstract_inverted_index.value | 23 |
| abstract_inverted_index.which | 147 |
| abstract_inverted_index.(NFI). | 52 |
| abstract_inverted_index.Forest | 0, 50 |
| abstract_inverted_index.allows | 255 |
| abstract_inverted_index.canopy | 99 |
| abstract_inverted_index.during | 43 |
| abstract_inverted_index.edges, | 245 |
| abstract_inverted_index.edges. | 180, 281 |
| abstract_inverted_index.expert | 154 |
| abstract_inverted_index.forest | 9, 29, 38, 78, 116, 130, 179, 212, 244, 264, 280 |
| abstract_inverted_index.height | 100 |
| abstract_inverted_index.layer; | 117 |
| abstract_inverted_index.medium | 237 |
| abstract_inverted_index.namely | 97 |
| abstract_inverted_index.offers | 74 |
| abstract_inverted_index.plots. | 63 |
| abstract_inverted_index.ratios | 102 |
| abstract_inverted_index.sample | 62 |
| abstract_inverted_index.slope; | 123 |
| abstract_inverted_index.study, | 88 |
| abstract_inverted_index.Applied | 247 |
| abstract_inverted_index.ability | 163 |
| abstract_inverted_index.between | 7, 184 |
| abstract_inverted_index.capture | 172 |
| abstract_inverted_index.classes | 216 |
| abstract_inverted_index.clouds, | 96 |
| abstract_inverted_index.defined | 166 |
| abstract_inverted_index.density | 127 |
| abstract_inverted_index.derived | 90 |
| abstract_inverted_index.enhance | 142 |
| abstract_inverted_index.k-means | 224 |
| abstract_inverted_index.limited | 60 |
| abstract_inverted_index.metrics | 92, 133, 160, 170, 186, 195, 208 |
| abstract_inverted_index.monitor | 275 |
| abstract_inverted_index.respect | 218 |
| abstract_inverted_index.results | 227 |
| abstract_inverted_index.spatial | 84 |
| abstract_inverted_index.surveys | 45 |
| abstract_inverted_index.However, | 53 |
| abstract_inverted_index.National | 49 |
| abstract_inverted_index.Publicly | 64 |
| abstract_inverted_index.airborne | 67 |
| abstract_inverted_index.approach | 254 |
| abstract_inverted_index.assessed | 42 |
| abstract_inverted_index.describe | 134 |
| abstract_inverted_index.example, | 37 |
| abstract_inverted_index.existing | 143 |
| abstract_inverted_index.extents. | 85 |
| abstract_inverted_index.interior | 10 |
| abstract_inverted_index.metrics, | 146 |
| abstract_inverted_index.relevant | 174 |
| abstract_inverted_index.retrieve | 77, 257 |
| abstract_inverted_index.scanning | 69 |
| abstract_inverted_index.sky-view | 119 |
| abstract_inverted_index.(ecotone) | 6 |
| abstract_inverted_index.Inventory | 51 |
| abstract_inverted_index.assessing | 25 |
| abstract_inverted_index.available | 65 |
| abstract_inverted_index.consuming | 58 |
| abstract_inverted_index.contrast, | 73 |
| abstract_inverted_index.fraction; | 120 |
| abstract_inverted_index.functions | 189 |
| abstract_inverted_index.indicated | 228 |
| abstract_inverted_index.represent | 2 |
| abstract_inverted_index.spatially | 259 |
| abstract_inverted_index.structual | 231 |
| abstract_inverted_index.structure | 27, 40, 80, 138, 151 |
| abstract_inverted_index.therefore | 140 |
| abstract_inverted_index.area-wide, | 258 |
| abstract_inverted_index.assessment | 155 |
| abstract_inverted_index.available, | 273 |
| abstract_inverted_index.complexity | 222, 232 |
| abstract_inverted_index.continuous | 260 |
| abstract_inverted_index.ecological | 20, 188 |
| abstract_inverted_index.indicative | 176 |
| abstract_inverted_index.integrated | 199 |
| abstract_inverted_index.structural | 221 |
| abstract_inverted_index.transition | 4 |
| abstract_inverted_index.assessments | 55 |
| abstract_inverted_index.clustering. | 225 |
| abstract_inverted_index.components, | 110 |
| abstract_inverted_index.conditions, | 266 |
| abstract_inverted_index.countrywide | 66, 249 |
| abstract_inverted_index.development | 277 |
| abstract_inverted_index.importance, | 21 |
| abstract_inverted_index.information | 81, 261 |
| abstract_inverted_index.recognized. | 33 |
| abstract_inverted_index.shelterbelt | 114, 122 |
| abstract_inverted_index.surrounding | 13 |
| abstract_inverted_index.Switzerland, | 35 |
| abstract_inverted_index.demonstrated | 161 |
| abstract_inverted_index.ecologically | 173 |
| abstract_inverted_index.prerequisite | 192 |
| abstract_inverted_index.relationship | 183 |
| abstract_inverted_index.subsequently | 203 |
| abstract_inverted_index.variability; | 101 |
| abstract_inverted_index.Understanding | 181 |
| abstract_inverted_index.multitemporal | 269 |
| abstract_inverted_index.possibilities | 75 |
| abstract_inverted_index.respectively. | 246 |
| abstract_inverted_index.characteristics | 177 |
| abstract_inverted_index.two-dimensional | 150 |
| abstract_inverted_index.characteristics. | 152 |
| abstract_inverted_index.three-dimensional | 136 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| corresponding_author_ids | https://openalex.org/A5091409475 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I2800262456 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/15 |
| sustainable_development_goals[0].score | 0.7699999809265137 |
| sustainable_development_goals[0].display_name | Life in Land |
| citation_normalized_percentile.value | 0.60147732 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |