Distribution, Dynamics and Drivers of Asian Active Fire Occurrences Article Swipe
Xu Gao
,
Wenzhong Shi
,
Min Zhang
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/ijgi14090349
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/ijgi14090349
As the world’s most populous and geographically diverse continent, active fire occurrence in Asia exhibits pronounced spatiotemporal heterogeneity, driven by climactic and anthropogenic factors. However, systematic analyses of Asian fire occurrence characteristics are still scarce, the quantitative and spatial relationship between fire dynamics and drivers remain poorly understood. Here, utilizing active fire and land cover products alongside climate and human footprint datasets, we explored the spatiotemporal distribution and dynamics of active fire counts (FC) over 20 years (2003–2022) in Asia, quantifying the effects of climate and human management. Results analyzed over 10 million active fires, with cropland fires predominating (25.6%) and Southeast Asia identified as the hotspot. FC seasonal dynamics were governed by temperature and precipitation, while spring was the primary burning season. A continental inter-annual FC decline (mean slope: −8716 yr−1) was identified, primarily attributed to forest fire reduction. Subsequently, we further clarified the drivers of FC dynamics. Time series decomposition attributed short-term FC fluctuations to extreme climate events (e.g., 2015 El Niño), while long-term trends reflected cumulative human interventions (e.g., cropland management). The trend analysis revealed that woody vegetation fires in the Indochina Peninsula shifted to herbaceous fires, Asian cropland FC primarily increased but were restricted in eastern China and Thailand by strict policies. Spatially, hydrometeorological factors dominated 58.1% of FC variations but exhibited opposite effects between arid and humid regions, followed by human factor, where human activities shifted from fire promotion to suppression through land-use transitions. These driving mechanism insights establish a new framework for adaptive fire management amid escalating environmental change.
Related Topics
Concepts
No concepts available.
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/ijgi14090349
- OA Status
- gold
- References
- 80
- OpenAlex ID
- https://openalex.org/W4414594734
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4414594734Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/ijgi14090349Digital Object Identifier
- Title
-
Distribution, Dynamics and Drivers of Asian Active Fire OccurrencesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-09-12Full publication date if available
- Authors
-
Xu Gao, Wenzhong Shi, Min ZhangList of authors in order
- Landing page
-
https://doi.org/10.3390/ijgi14090349Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.3390/ijgi14090349Direct OA link when available
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
80Number of works referenced by this work
Full payload
| id | https://openalex.org/W4414594734 |
|---|---|
| doi | https://doi.org/10.3390/ijgi14090349 |
| ids.doi | https://doi.org/10.3390/ijgi14090349 |
| ids.openalex | https://openalex.org/W4414594734 |
| fwci | 0.0 |
| type | article |
| title | Distribution, Dynamics and Drivers of Asian Active Fire Occurrences |
| biblio.issue | 9 |
| biblio.volume | 14 |
| biblio.last_page | 349 |
| biblio.first_page | 349 |
| topics[0].id | https://openalex.org/T10555 |
| topics[0].field.id | https://openalex.org/fields/23 |
| topics[0].field.display_name | Environmental Science |
| topics[0].score | 1.0 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2306 |
| topics[0].subfield.display_name | Global and Planetary Change |
| topics[0].display_name | Fire effects on ecosystems |
| topics[1].id | https://openalex.org/T10747 |
| topics[1].field.id | https://openalex.org/fields/33 |
| topics[1].field.display_name | Social Sciences |
| topics[1].score | 0.9828000068664551 |
| topics[1].domain.id | https://openalex.org/domains/2 |
| topics[1].domain.display_name | Social Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/3312 |
| topics[1].subfield.display_name | Sociology and Political Science |
| topics[1].display_name | Disaster Management and Resilience |
| topics[2].id | https://openalex.org/T10930 |
| topics[2].field.id | https://openalex.org/fields/23 |
| topics[2].field.display_name | Environmental Science |
| topics[2].score | 0.9606999754905701 |
| 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 | Flood Risk Assessment and Management |
| is_xpac | False |
| apc_list.value | 1400 |
| apc_list.currency | CHF |
| apc_list.value_usd | 1515 |
| apc_paid.value | 1400 |
| apc_paid.currency | CHF |
| apc_paid.value_usd | 1515 |
| language | en |
| locations[0].id | doi:10.3390/ijgi14090349 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2764431341 |
| locations[0].source.issn | 2220-9964 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2220-9964 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | ISPRS International Journal of Geo-Information |
| locations[0].source.host_organization | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| 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 | ISPRS International Journal of Geo-Information |
| locations[0].landing_page_url | https://doi.org/10.3390/ijgi14090349 |
| locations[1].id | pmh:oai:doaj.org/article:3e607f36965642a291263919f2e6f743 |
| 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 | ISPRS International Journal of Geo-Information, Vol 14, Iss 9, p 349 (2025) |
| locations[1].landing_page_url | https://doaj.org/article/3e607f36965642a291263919f2e6f743 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5031599760 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-7672-8351 |
| authorships[0].author.display_name | Xu Gao |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I25757504 |
| authorships[0].affiliations[0].raw_affiliation_string | School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China |
| authorships[0].institutions[0].id | https://openalex.org/I25757504 |
| authorships[0].institutions[0].ror | https://ror.org/01xt2dr21 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I25757504 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | China University of Mining and Technology |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Xu Gao |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China |
| authorships[1].author.id | https://openalex.org/A5100644664 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-3886-7027 |
| authorships[1].author.display_name | Wenzhong Shi |
| authorships[1].countries | CN, HK |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I14243506, https://openalex.org/I182722699 |
| authorships[1].affiliations[0].raw_affiliation_string | The Hong Kong Polytechnic University-Shenzhen Technology and Innovation Research Institute (Futian), Shenzhen 518000, China |
| authorships[1].institutions[0].id | https://openalex.org/I182722699 |
| authorships[1].institutions[0].ror | https://ror.org/00d2w9g53 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I182722699 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Shenzhen Polytechnic |
| authorships[1].institutions[1].id | https://openalex.org/I14243506 |
| authorships[1].institutions[1].ror | https://ror.org/0030zas98 |
| authorships[1].institutions[1].type | education |
| authorships[1].institutions[1].lineage | https://openalex.org/I14243506 |
| authorships[1].institutions[1].country_code | HK |
| authorships[1].institutions[1].display_name | Hong Kong Polytechnic University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Wenzhong Shi |
| authorships[1].is_corresponding | True |
| authorships[1].raw_affiliation_strings | The Hong Kong Polytechnic University-Shenzhen Technology and Innovation Research Institute (Futian), Shenzhen 518000, China |
| authorships[2].author.id | https://openalex.org/A5012727269 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-1643-5271 |
| authorships[2].author.display_name | Min Zhang |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I139660479 |
| authorships[2].affiliations[0].raw_affiliation_string | School of Geosciences and Info-Physics, Central South University, Changsha 410083, China |
| authorships[2].institutions[0].id | https://openalex.org/I139660479 |
| authorships[2].institutions[0].ror | https://ror.org/00f1zfq44 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I139660479 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Central South University |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Min Zhang |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | School of Geosciences and Info-Physics, Central South University, Changsha 410083, China |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.3390/ijgi14090349 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Distribution, Dynamics and Drivers of Asian Active Fire Occurrences |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10555 |
| primary_topic.field.id | https://openalex.org/fields/23 |
| primary_topic.field.display_name | Environmental Science |
| primary_topic.score | 1.0 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2306 |
| primary_topic.subfield.display_name | Global and Planetary Change |
| primary_topic.display_name | Fire effects on ecosystems |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | doi:10.3390/ijgi14090349 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2764431341 |
| best_oa_location.source.issn | 2220-9964 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2220-9964 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | ISPRS International Journal of Geo-Information |
| best_oa_location.source.host_organization | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| 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 | ISPRS International Journal of Geo-Information |
| best_oa_location.landing_page_url | https://doi.org/10.3390/ijgi14090349 |
| primary_location.id | doi:10.3390/ijgi14090349 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2764431341 |
| primary_location.source.issn | 2220-9964 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2220-9964 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | ISPRS International Journal of Geo-Information |
| primary_location.source.host_organization | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| 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 | ISPRS International Journal of Geo-Information |
| primary_location.landing_page_url | https://doi.org/10.3390/ijgi14090349 |
| publication_date | 2025-09-12 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W4401947121, https://openalex.org/W4410256250, https://openalex.org/W2775664285, https://openalex.org/W4389306398, https://openalex.org/W2909376379, https://openalex.org/W4400798808, https://openalex.org/W4406382894, https://openalex.org/W4404306021, https://openalex.org/W4391019419, https://openalex.org/W4281480387, https://openalex.org/W4220856005, https://openalex.org/W4412166155, https://openalex.org/W3186114342, https://openalex.org/W4386013433, https://openalex.org/W3158850270, https://openalex.org/W4309370897, https://openalex.org/W4401728510, https://openalex.org/W3034119996, https://openalex.org/W4280514624, https://openalex.org/W4223653531, https://openalex.org/W3120122943, https://openalex.org/W2793092705, https://openalex.org/W4413394893, https://openalex.org/W4220754281, https://openalex.org/W4410358204, https://openalex.org/W4402827252, https://openalex.org/W4399964523, https://openalex.org/W4318897326, https://openalex.org/W3033337919, https://openalex.org/W4312172052, https://openalex.org/W4403996482, https://openalex.org/W2810981748, https://openalex.org/W4213156434, https://openalex.org/W3041705565, https://openalex.org/W4403586852, https://openalex.org/W3137484891, https://openalex.org/W3121444475, https://openalex.org/W4310202157, https://openalex.org/W4317802080, https://openalex.org/W2945118565, https://openalex.org/W3097378890, https://openalex.org/W3081580369, https://openalex.org/W4311860930, https://openalex.org/W4399887245, https://openalex.org/W4390663253, https://openalex.org/W3205439147, https://openalex.org/W4392932284, https://openalex.org/W2584743460, https://openalex.org/W4401829282, https://openalex.org/W4403982016, https://openalex.org/W4401797931, https://openalex.org/W4289783329, https://openalex.org/W4410912030, https://openalex.org/W4224929256, https://openalex.org/W4385785811, https://openalex.org/W2295931476, https://openalex.org/W4224210353, https://openalex.org/W2508921413, https://openalex.org/W2784327149, https://openalex.org/W4403045292, https://openalex.org/W2965689387, https://openalex.org/W3195041833, https://openalex.org/W2018764772, https://openalex.org/W4392214008, https://openalex.org/W4363652225, https://openalex.org/W2809296804, https://openalex.org/W4389721475, https://openalex.org/W4404856560, https://openalex.org/W4399526824, https://openalex.org/W3180636893, https://openalex.org/W4315606048, https://openalex.org/W3004469112, https://openalex.org/W2998665890, https://openalex.org/W3127201678, https://openalex.org/W4307840693, https://openalex.org/W3205824731, https://openalex.org/W4399939280, https://openalex.org/W4403412563, https://openalex.org/W4309725001, https://openalex.org/W4406160696 |
| referenced_works_count | 80 |
| abstract_inverted_index.A | 123 |
| abstract_inverted_index.a | 244 |
| abstract_inverted_index.10 | 91 |
| abstract_inverted_index.20 | 75 |
| abstract_inverted_index.As | 0 |
| abstract_inverted_index.El | 162 |
| abstract_inverted_index.FC | 107, 126, 147, 154, 192, 212 |
| abstract_inverted_index.as | 104 |
| abstract_inverted_index.by | 19, 112, 203, 224 |
| abstract_inverted_index.in | 12, 78, 182, 198 |
| abstract_inverted_index.of | 27, 69, 83, 146, 211 |
| abstract_inverted_index.to | 136, 156, 187, 234 |
| abstract_inverted_index.we | 62, 141 |
| abstract_inverted_index.The | 174 |
| abstract_inverted_index.and | 5, 21, 37, 43, 52, 58, 67, 85, 100, 114, 201, 220 |
| abstract_inverted_index.are | 32 |
| abstract_inverted_index.but | 195, 214 |
| abstract_inverted_index.for | 247 |
| abstract_inverted_index.new | 245 |
| abstract_inverted_index.the | 1, 35, 64, 81, 105, 119, 144, 183 |
| abstract_inverted_index.was | 118, 132 |
| abstract_inverted_index.(FC) | 73 |
| abstract_inverted_index.2015 | 161 |
| abstract_inverted_index.Asia | 13, 102 |
| abstract_inverted_index.Time | 149 |
| abstract_inverted_index.amid | 251 |
| abstract_inverted_index.arid | 219 |
| abstract_inverted_index.fire | 10, 29, 41, 51, 71, 138, 232, 249 |
| abstract_inverted_index.from | 231 |
| abstract_inverted_index.land | 53 |
| abstract_inverted_index.most | 3 |
| abstract_inverted_index.over | 74, 90 |
| abstract_inverted_index.that | 178 |
| abstract_inverted_index.were | 110, 196 |
| abstract_inverted_index.with | 95 |
| abstract_inverted_index.(mean | 128 |
| abstract_inverted_index.58.1% | 210 |
| abstract_inverted_index.Asia, | 79 |
| abstract_inverted_index.Asian | 28, 190 |
| abstract_inverted_index.China | 200 |
| abstract_inverted_index.Here, | 48 |
| abstract_inverted_index.These | 239 |
| abstract_inverted_index.cover | 54 |
| abstract_inverted_index.fires | 97, 181 |
| abstract_inverted_index.human | 59, 86, 169, 225, 228 |
| abstract_inverted_index.humid | 221 |
| abstract_inverted_index.still | 33 |
| abstract_inverted_index.trend | 175 |
| abstract_inverted_index.where | 227 |
| abstract_inverted_index.while | 116, 164 |
| abstract_inverted_index.woody | 179 |
| abstract_inverted_index.years | 76 |
| abstract_inverted_index.(e.g., | 160, 171 |
| abstract_inverted_index.active | 9, 50, 70, 93 |
| abstract_inverted_index.counts | 72 |
| abstract_inverted_index.driven | 18 |
| abstract_inverted_index.events | 159 |
| abstract_inverted_index.fires, | 94, 189 |
| abstract_inverted_index.forest | 137 |
| abstract_inverted_index.poorly | 46 |
| abstract_inverted_index.remain | 45 |
| abstract_inverted_index.series | 150 |
| abstract_inverted_index.slope: | 129 |
| abstract_inverted_index.spring | 117 |
| abstract_inverted_index.strict | 204 |
| abstract_inverted_index.trends | 166 |
| abstract_inverted_index.(25.6%) | 99 |
| abstract_inverted_index.Niño), | 163 |
| abstract_inverted_index.Results | 88 |
| abstract_inverted_index.between | 40, 218 |
| abstract_inverted_index.burning | 121 |
| abstract_inverted_index.change. | 254 |
| abstract_inverted_index.climate | 57, 84, 158 |
| abstract_inverted_index.decline | 127 |
| abstract_inverted_index.diverse | 7 |
| abstract_inverted_index.drivers | 44, 145 |
| abstract_inverted_index.driving | 240 |
| abstract_inverted_index.eastern | 199 |
| abstract_inverted_index.effects | 82, 217 |
| abstract_inverted_index.extreme | 157 |
| abstract_inverted_index.factor, | 226 |
| abstract_inverted_index.factors | 208 |
| abstract_inverted_index.further | 142 |
| abstract_inverted_index.million | 92 |
| abstract_inverted_index.primary | 120 |
| abstract_inverted_index.scarce, | 34 |
| abstract_inverted_index.season. | 122 |
| abstract_inverted_index.shifted | 186, 230 |
| abstract_inverted_index.spatial | 38 |
| abstract_inverted_index.through | 236 |
| abstract_inverted_index.yr−1) | 131 |
| abstract_inverted_index.−8716 | 130 |
| abstract_inverted_index.However, | 24 |
| abstract_inverted_index.Thailand | 202 |
| abstract_inverted_index.adaptive | 248 |
| abstract_inverted_index.analyses | 26 |
| abstract_inverted_index.analysis | 176 |
| abstract_inverted_index.analyzed | 89 |
| abstract_inverted_index.cropland | 96, 172, 191 |
| abstract_inverted_index.dynamics | 42, 68, 109 |
| abstract_inverted_index.exhibits | 14 |
| abstract_inverted_index.explored | 63 |
| abstract_inverted_index.factors. | 23 |
| abstract_inverted_index.followed | 223 |
| abstract_inverted_index.governed | 111 |
| abstract_inverted_index.hotspot. | 106 |
| abstract_inverted_index.insights | 242 |
| abstract_inverted_index.land-use | 237 |
| abstract_inverted_index.opposite | 216 |
| abstract_inverted_index.populous | 4 |
| abstract_inverted_index.products | 55 |
| abstract_inverted_index.regions, | 222 |
| abstract_inverted_index.revealed | 177 |
| abstract_inverted_index.seasonal | 108 |
| abstract_inverted_index.Indochina | 184 |
| abstract_inverted_index.Peninsula | 185 |
| abstract_inverted_index.Southeast | 101 |
| abstract_inverted_index.alongside | 56 |
| abstract_inverted_index.clarified | 143 |
| abstract_inverted_index.climactic | 20 |
| abstract_inverted_index.datasets, | 61 |
| abstract_inverted_index.dominated | 209 |
| abstract_inverted_index.dynamics. | 148 |
| abstract_inverted_index.establish | 243 |
| abstract_inverted_index.exhibited | 215 |
| abstract_inverted_index.footprint | 60 |
| abstract_inverted_index.framework | 246 |
| abstract_inverted_index.increased | 194 |
| abstract_inverted_index.long-term | 165 |
| abstract_inverted_index.mechanism | 241 |
| abstract_inverted_index.policies. | 205 |
| abstract_inverted_index.primarily | 134, 193 |
| abstract_inverted_index.promotion | 233 |
| abstract_inverted_index.reflected | 167 |
| abstract_inverted_index.utilizing | 49 |
| abstract_inverted_index.world’s | 2 |
| abstract_inverted_index.Spatially, | 206 |
| abstract_inverted_index.activities | 229 |
| abstract_inverted_index.attributed | 135, 152 |
| abstract_inverted_index.continent, | 8 |
| abstract_inverted_index.cumulative | 168 |
| abstract_inverted_index.escalating | 252 |
| abstract_inverted_index.herbaceous | 188 |
| abstract_inverted_index.identified | 103 |
| abstract_inverted_index.management | 250 |
| abstract_inverted_index.occurrence | 11, 30 |
| abstract_inverted_index.pronounced | 15 |
| abstract_inverted_index.reduction. | 139 |
| abstract_inverted_index.restricted | 197 |
| abstract_inverted_index.short-term | 153 |
| abstract_inverted_index.systematic | 25 |
| abstract_inverted_index.variations | 213 |
| abstract_inverted_index.vegetation | 180 |
| abstract_inverted_index.continental | 124 |
| abstract_inverted_index.identified, | 133 |
| abstract_inverted_index.management. | 87 |
| abstract_inverted_index.quantifying | 80 |
| abstract_inverted_index.suppression | 235 |
| abstract_inverted_index.temperature | 113 |
| abstract_inverted_index.understood. | 47 |
| abstract_inverted_index.distribution | 66 |
| abstract_inverted_index.fluctuations | 155 |
| abstract_inverted_index.inter-annual | 125 |
| abstract_inverted_index.management). | 173 |
| abstract_inverted_index.quantitative | 36 |
| abstract_inverted_index.relationship | 39 |
| abstract_inverted_index.transitions. | 238 |
| abstract_inverted_index.(2003–2022) | 77 |
| abstract_inverted_index.Subsequently, | 140 |
| abstract_inverted_index.anthropogenic | 22 |
| abstract_inverted_index.decomposition | 151 |
| abstract_inverted_index.environmental | 253 |
| abstract_inverted_index.interventions | 170 |
| abstract_inverted_index.predominating | 98 |
| abstract_inverted_index.geographically | 6 |
| abstract_inverted_index.heterogeneity, | 17 |
| abstract_inverted_index.precipitation, | 115 |
| abstract_inverted_index.spatiotemporal | 16, 65 |
| abstract_inverted_index.characteristics | 31 |
| abstract_inverted_index.hydrometeorological | 207 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5100644664 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I14243506, https://openalex.org/I182722699 |
| citation_normalized_percentile.value | 0.44957005 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |