Drought triggers and sustains overnight fires in North America
Overnight fires are emerging in North America with previously unknown drivers and implications. This notable phenomenon challenges the traditional understanding of the ‘active day, quiet night’ model of the diurnal fire cycle 1 – 3 and current fire management practices 4 , 5 . Here we demonstrate th...
Uložené v:
| Vydané v: | Nature (London) Ročník 627; číslo 8003; s. 321 - 327 |
|---|---|
| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
London
Nature Publishing Group UK
14.03.2024
Nature Publishing Group |
| Predmet: | |
| ISSN: | 0028-0836, 1476-4687, 1476-4687 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | Overnight fires are emerging in North America with previously unknown drivers and implications. This notable phenomenon challenges the traditional understanding of the ‘active day, quiet night’ model of the diurnal fire cycle
1
–
3
and current fire management practices
4
,
5
. Here we demonstrate that drought conditions promote overnight burning, which is a key mechanism fostering large active fires. We examined the hourly diurnal cycle of 23,557 fires and identified 1,095 overnight burning events (OBEs, each defined as a night when a fire burned through the night) in North America during 2017–2020 using geostationary satellite data and terrestrial fire records. A total of 99% of OBEs were associated with large fires (>1,000 ha) and at least one OBE was identified in 20% of these large fires. OBEs were early onset after ignition and OBE frequency was positively correlated with fire size. Although warming is weakening the climatological barrier to night-time fires
6
, we found that the main driver of recent OBEs in large fires was the accumulated fuel dryness and availability (that is, drought conditions), which tended to lead to consecutive OBEs in a single wildfire for several days and even weeks. Critically, we show that daytime drought indicators can predict whether an OBE will occur the following night, which could facilitate early detection and management of night-time fires. We also observed increases in fire weather conditions conducive to OBEs over recent decades, suggesting an accelerated disruption of the diurnal fire cycle.
By examining the hourly diurnal cycle of 23,557 fires in North America during 2017–2020, 1,095 overnight burning events were identified, mostly associated with extreme fires and driven by long-term drought conditions. |
|---|---|
| AbstractList | Overnight fires are emerging in North America with previously unknown drivers and implications. This notable phenomenon challenges the traditional understanding of the 'active day, quiet night' model of the diurnal fire cycle
and current fire management practices
. Here we demonstrate that drought conditions promote overnight burning, which is a key mechanism fostering large active fires. We examined the hourly diurnal cycle of 23,557 fires and identified 1,095 overnight burning events (OBEs, each defined as a night when a fire burned through the night) in North America during 2017-2020 using geostationary satellite data and terrestrial fire records. A total of 99% of OBEs were associated with large fires (>1,000 ha) and at least one OBE was identified in 20% of these large fires. OBEs were early onset after ignition and OBE frequency was positively correlated with fire size. Although warming is weakening the climatological barrier to night-time fires
, we found that the main driver of recent OBEs in large fires was the accumulated fuel dryness and availability (that is, drought conditions), which tended to lead to consecutive OBEs in a single wildfire for several days and even weeks. Critically, we show that daytime drought indicators can predict whether an OBE will occur the following night, which could facilitate early detection and management of night-time fires. We also observed increases in fire weather conditions conducive to OBEs over recent decades, suggesting an accelerated disruption of the diurnal fire cycle. Overnight fires are emerging in North America with previously unknown drivers and implications. This notable phenomenon challenges the traditional understanding of the 'active day, quiet night' model of the diurnal fire cycle1-3 and current fire management practices4,5. Here we demonstrate that drought conditions promote overnight burning, which is a key mechanism fostering large active fires. We examined the hourly diurnal cycle of 23,557 fires and identified 1,095 overnight burning events (OBEs, each defined as a night when a fire burned through the night) in North America during 2017-2020 using geostationary satellite data and terrestrial fire records. A total of 99% of OBEs were associated with large fires (>1,000 ha) and at least one OBE was identified in 20% of these large fires. OBEs were early onset after ignition and OBE frequency was positively correlated with fire size. Although warming is weakening the climatological barrier to night-time fires6, we found that the main driver of recent OBEs in large fires was the accumulated fuel dryness and availability (that is, drought conditions), which tended to lead to consecutive OBEs in a single wildfire for several days and even weeks. Critically, we show that daytime drought indicators can predict whether an OBE will occur the following night, which could facilitate early detection and management of night-time fires. We also observed increases in fire weather conditions conducive to OBEs over recent decades, suggesting an accelerated disruption of the diurnal fire cycle.Overnight fires are emerging in North America with previously unknown drivers and implications. This notable phenomenon challenges the traditional understanding of the 'active day, quiet night' model of the diurnal fire cycle1-3 and current fire management practices4,5. Here we demonstrate that drought conditions promote overnight burning, which is a key mechanism fostering large active fires. We examined the hourly diurnal cycle of 23,557 fires and identified 1,095 overnight burning events (OBEs, each defined as a night when a fire burned through the night) in North America during 2017-2020 using geostationary satellite data and terrestrial fire records. A total of 99% of OBEs were associated with large fires (>1,000 ha) and at least one OBE was identified in 20% of these large fires. OBEs were early onset after ignition and OBE frequency was positively correlated with fire size. Although warming is weakening the climatological barrier to night-time fires6, we found that the main driver of recent OBEs in large fires was the accumulated fuel dryness and availability (that is, drought conditions), which tended to lead to consecutive OBEs in a single wildfire for several days and even weeks. Critically, we show that daytime drought indicators can predict whether an OBE will occur the following night, which could facilitate early detection and management of night-time fires. We also observed increases in fire weather conditions conducive to OBEs over recent decades, suggesting an accelerated disruption of the diurnal fire cycle. Overnight fires are emerging in North America with previously unknown drivers and implications. This notable phenomenon challenges the traditional understanding of the ‘active day, quiet night’ model of the diurnal fire cycle 1 – 3 and current fire management practices 4 , 5 . Here we demonstrate that drought conditions promote overnight burning, which is a key mechanism fostering large active fires. We examined the hourly diurnal cycle of 23,557 fires and identified 1,095 overnight burning events (OBEs, each defined as a night when a fire burned through the night) in North America during 2017–2020 using geostationary satellite data and terrestrial fire records. A total of 99% of OBEs were associated with large fires (>1,000 ha) and at least one OBE was identified in 20% of these large fires. OBEs were early onset after ignition and OBE frequency was positively correlated with fire size. Although warming is weakening the climatological barrier to night-time fires 6 , we found that the main driver of recent OBEs in large fires was the accumulated fuel dryness and availability (that is, drought conditions), which tended to lead to consecutive OBEs in a single wildfire for several days and even weeks. Critically, we show that daytime drought indicators can predict whether an OBE will occur the following night, which could facilitate early detection and management of night-time fires. We also observed increases in fire weather conditions conducive to OBEs over recent decades, suggesting an accelerated disruption of the diurnal fire cycle. By examining the hourly diurnal cycle of 23,557 fires in North America during 2017–2020, 1,095 overnight burning events were identified, mostly associated with extreme fires and driven by long-term drought conditions. Overnight fires are emerging in North America with previously unknown drivers and implications. This notable phenomenon challenges the traditional understanding of the 'active day, quiet night' model of the diurnal fire cycle13 and current fire management practices4,5. Here we demonstrate that drought conditions promote overnight burning, which is a key mechanism fostering large active fires. We examined the hourly diurnal cycle of 23,557 fires and identified 1,095 overnight burning events (OBEs, each defined as a night when a fire burned through the night) in North America during 2017-2020 using geostationary satellite data and terrestrial fire records. A total of 99% of OBEs were associated with large fires (>1,000 ha) and at least one OBE was identified in 20% of these large fires. OBEs were early onset after ignition and OBE frequency was positively correlated with fire size. Although warming is weakening the climatological barrier to night-time fires6, we found that the main driver ofrecent OBEs in large fires was the accumulated fuel dryness and availability (that is, drought conditions), which tended to lead to consecutive OBEs in a single wildfire for several days and even weeks. Critically, we show that daytime drought indicators can predict whether an OBE will occur the following night, which could facilitate early detection and management of night-time fires. We also observed increases in fire weather conditions conducive to OBEs over recent decades, suggesting an accelerated disruption of the diurnal fire cycle. |
| Author | Luo, Kaiwei Flannigan, Mike Wang, Xianli de Jong, Mark |
| Author_xml | – sequence: 1 givenname: Kaiwei orcidid: 0009-0001-1921-5429 surname: Luo fullname: Luo, Kaiwei email: kaiwei@ualberta.ca organization: Department of Renewable Resources, University of Alberta – sequence: 2 givenname: Xianli orcidid: 0000-0001-9873-9767 surname: Wang fullname: Wang, Xianli email: xianli.wang@nrcan-rncan.gc.ca organization: Department of Renewable Resources, University of Alberta, Natural Resources Canada, Canadian Forest Service, Northern Forestry Centre – sequence: 3 givenname: Mark orcidid: 0000-0002-0790-6097 surname: de Jong fullname: de Jong, Mark organization: Natural Resources Canada, Canadian Forest Service, Great Lakes Forestry Centre – sequence: 4 givenname: Mike surname: Flannigan fullname: Flannigan, Mike organization: Department of Renewable Resources, University of Alberta, Department of Natural Resource Science, Faculty of Science, Thompson Rivers University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38480963$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9kctKAzEUhoMotl5ewIUMuHEzmkwuJ7MRxDuIbnQd0kymTWkTTTKCb29qFaELVwdyvu_wk38PbfvgLUJHBJ8RTOV5YoRLUeOG1RhwI2u-hcaEgaiZkLCNxnj1iCUVI7SX0hxjzAmwXTSikkncCjpGF9cxDNNZrnJ006mNqdK-q9KQsnY-VeHDRu9W-95Fmyrnq6cQ86y6XNrojD5AO71eJHv4M_fR6-3Ny9V9_fh893B1-VgbCjzXUlLLaddCIwFMPzGgqW47gy0IsF1TMk6YxqQXhWAGQBDJsWTcyEmrJaP76HR99y2G98GmrJYuGbtYaG_DkFTTciBCcICCnmyg8zBEX9IVShCgAC0t1PEPNUyWtlNv0S11_FS_P1MAuQZMDClF2yvjss4u-By1WyiC1aoEtS5BlRLUdwmKF7XZUH-v_yvRtZQK7EsTf7H_sb4A5IyW-Q |
| CitedBy_id | crossref_primary_10_1016_j_agrformet_2025_110609 crossref_primary_10_1093_pnasnexus_pgae151 crossref_primary_10_1007_s11104_025_07607_z crossref_primary_10_1016_j_ijdrr_2025_105769 crossref_primary_10_47184_td_2025_02_04 crossref_primary_10_1038_s41467_025_58097_7 crossref_primary_10_1093_nsr_nwae292 crossref_primary_10_59717_j_xinn_geo_2025_100163 crossref_primary_10_1038_s41559_025_02862_w crossref_primary_10_5194_gmd_18_3265_2025 crossref_primary_10_1021_acs_est_4c08306 crossref_primary_10_1038_s41467_025_63672_z crossref_primary_10_1016_j_atmosres_2025_108460 crossref_primary_10_1038_s41597_025_04612_w crossref_primary_10_1016_j_foreco_2025_123073 crossref_primary_10_1016_j_gloplacha_2024_104587 crossref_primary_10_1038_d41586_024_00536_4 crossref_primary_10_1038_s44304_025_00118_y crossref_primary_10_1109_LGRS_2024_3412173 crossref_primary_10_1016_j_ejrh_2025_102359 crossref_primary_10_1021_acsnano_5c05958 crossref_primary_10_1016_j_tfp_2025_100940 crossref_primary_10_1016_j_foodchem_2025_143704 crossref_primary_10_5194_essd_17_3599_2025 crossref_primary_10_1139_cjfr_2024_0099 crossref_primary_10_1071_WF23138 crossref_primary_10_1016_j_jenvman_2025_126084 crossref_primary_10_1021_acs_langmuir_5c02807 crossref_primary_10_1038_s43247_025_02202_7 crossref_primary_10_1038_s41612_025_00984_3 |
| Cites_doi | 10.1002/qj.3803 10.1016/j.scitotenv.2022.154752 10.1071/WF19201 10.1071/WF21045 10.1071/WF08187 10.2737/RMRS-GTR-119 10.1016/j.rse.2021.112777 10.1007/s10584-015-1375-5 10.1029/2019EF001210 10.1016/j.rse.2009.12.019 10.1038/s41586-021-03437-y 10.1093/biosci/biv106 10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2 10.5066/P9ZXGFY3 10.5194/acp-15-8831-2015 10.1071/WF17109 10.1175/BAMS-D-15-00230.1 10.1088/1748-9326/11/3/035003 10.1016/j.rse.2016.02.054 10.1029/2021GL092830 10.1088/1748-9326/aba101 10.1016/j.rse.2017.06.028 10.5194/bg-6-849-2009 10.1029/2005GL024379 10.5194/bg-11-5087-2014 10.1186/s13717-017-0070-z 10.5194/nhess-20-2365-2020 10.1126/science.abn6301 10.1038/ncomms8537 10.1016/j.pdisas.2019.100045 10.1525/california/9780520246058.003.0003 10.1002/joc.4688 10.2737/PSW-GTR-82 10.1016/j.rse.2006.11.018 10.1016/j.envsoft.2013.08.001 10.1016/j.rse.2021.112694 10.1016/j.envpol.2011.03.001 10.1071/WF09001 10.1038/s41586-021-04325-1 10.1038/s41558-021-01224-1 10.1029/2005JG000142 10.1175/1520-0450(1996)035<0601:IMFAOS>2.0.CO;2 10.1175/JAMC-D-15-0297.1 10.1038/s43017-020-0085-3 10.5194/essd-12-1823-2020 10.1007/s11027-006-9043-8 10.1071/WF9910215 10.1016/j.rse.2013.12.008 10.1071/WF19022 10.1148/radiology.143.1.7063747 10.1038/nclimate3329 10.4996/fireecology.0301003 10.1111/gcb.14405 10.1007/s10651-007-0084-2 |
| ContentType | Journal Article |
| Copyright | The Author(s), under exclusive licence to Springer Nature Limited 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. 2024. The Author(s), under exclusive licence to Springer Nature Limited. Copyright Nature Publishing Group Mar 14, 2024 |
| Copyright_xml | – notice: The Author(s), under exclusive licence to Springer Nature Limited 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. – notice: 2024. The Author(s), under exclusive licence to Springer Nature Limited. – notice: Copyright Nature Publishing Group Mar 14, 2024 |
| DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 3V. 7QG 7QL 7QP 7QR 7RV 7SN 7SS 7ST 7T5 7TG 7TK 7TM 7TO 7U9 7X2 7X7 7XB 88A 88E 88G 88I 8AF 8AO 8C1 8FD 8FE 8FG 8FH 8FI 8FJ 8FK 8G5 ABJCF ABUWG AEUYN AFKRA ARAPS ATCPS AZQEC BBNVY BEC BENPR BGLVJ BHPHI BKSAR C1K CCPQU D1I DWQXO FR3 FYUFA GHDGH GNUQQ GUQSH H94 HCIFZ K9. KB. KB0 KL. L6V LK8 M0K M0S M1P M2M M2O M2P M7N M7P M7S MBDVC NAPCQ P5Z P62 P64 PATMY PCBAR PDBOC PHGZM PHGZT PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS PSYQQ PTHSS PYCSY Q9U R05 RC3 S0X SOI 7X8 |
| DOI | 10.1038/s41586-024-07028-5 |
| DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Central (Corporate) Animal Behavior Abstracts Bacteriology Abstracts (Microbiology B) Calcium & Calcified Tissue Abstracts Chemoreception Abstracts Nursing & Allied Health Database Ecology Abstracts Entomology Abstracts (Full archive) Environment Abstracts Immunology Abstracts Meteorological & Geoastrophysical Abstracts Neurosciences Abstracts Nucleic Acids Abstracts Oncogenes and Growth Factors Abstracts Virology and AIDS Abstracts Agricultural Science Collection Health & Medical Collection ProQuest Central (purchase pre-March 2016) Biology Database (Alumni Edition) Medical Database (Alumni Edition) Psychology Database (Alumni) Science Database (Alumni Edition) STEM Database ProQuest Pharma Collection Public Health Database Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Natural Science Journals ProQuest Hospital Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) Research Library (Alumni) Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection Agricultural & Environmental Science Collection ProQuest Central Essentials Biological Science Collection eLibrary ProQuest Central Technology Collection Natural Science Collection Earth, Atmospheric & Aquatic Science Collection Environmental Sciences and Pollution Management ProQuest One ProQuest Materials Science Collection ProQuest Central Engineering Research Database Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student ProQuest Research Library AIDS and Cancer Research Abstracts SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) Materials Science Database Nursing & Allied Health Database (Alumni Edition) Meteorological & Geoastrophysical Abstracts - Academic ProQuest Engineering Collection Biological Sciences Agricultural Science Database ProQuest Health & Medical Collection Medical Database Psychology Database ProQuest Research Library Science Database Algology Mycology and Protozoology Abstracts (Microbiology C) Biological Science Database Engineering Database Research Library (Corporate) Nursing & Allied Health Premium Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection Biotechnology and BioEngineering Abstracts Environmental Science Database Earth, Atmospheric & Aquatic Science Database Materials Science Collection ProQuest Central Premium ProQuest One Academic ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China ProQuest One Psychology Engineering Collection Environmental Science Collection ProQuest Central Basic University of Michigan Genetics Abstracts SIRS Editorial Environment Abstracts MEDLINE - Academic |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Agricultural Science Database ProQuest One Psychology Research Library Prep ProQuest Central Student Oncogenes and Growth Factors Abstracts ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials Nucleic Acids Abstracts elibrary ProQuest AP Science SciTech Premium Collection ProQuest Central China Environmental Sciences and Pollution Management ProQuest One Applied & Life Sciences ProQuest One Sustainability Health Research Premium Collection Meteorological & Geoastrophysical Abstracts Natural Science Collection Health & Medical Research Collection Biological Science Collection Chemoreception Abstracts ProQuest Central (New) ProQuest Medical Library (Alumni) Engineering Collection Advanced Technologies & Aerospace Collection Engineering Database Virology and AIDS Abstracts ProQuest Science Journals (Alumni Edition) ProQuest Biological Science Collection ProQuest One Academic Eastern Edition Earth, Atmospheric & Aquatic Science Database Agricultural Science Collection ProQuest Hospital Collection ProQuest Technology Collection Health Research Premium Collection (Alumni) Biological Science Database Ecology Abstracts Neurosciences Abstracts ProQuest Hospital Collection (Alumni) Biotechnology and BioEngineering Abstracts Environmental Science Collection Entomology Abstracts Nursing & Allied Health Premium ProQuest Health & Medical Complete ProQuest One Academic UKI Edition Environmental Science Database ProQuest Nursing & Allied Health Source (Alumni) Engineering Research Database ProQuest One Academic Calcium & Calcified Tissue Abstracts Meteorological & Geoastrophysical Abstracts - Academic ProQuest One Academic (New) University of Michigan Technology Collection Technology Research Database ProQuest One Academic Middle East (New) SIRS Editorial Materials Science Collection ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing Research Library (Alumni Edition) ProQuest Natural Science Collection ProQuest Pharma Collection ProQuest Biology Journals (Alumni Edition) ProQuest Central Earth, Atmospheric & Aquatic Science Collection ProQuest Health & Medical Research Collection Genetics Abstracts ProQuest Engineering Collection Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Bacteriology Abstracts (Microbiology B) Algology Mycology and Protozoology Abstracts (Microbiology C) Agricultural & Environmental Science Collection AIDS and Cancer Research Abstracts Materials Science Database ProQuest Research Library ProQuest Materials Science Collection ProQuest Public Health ProQuest Central Basic ProQuest Science Journals ProQuest Nursing & Allied Health Source ProQuest Psychology Journals (Alumni) ProQuest SciTech Collection Advanced Technologies & Aerospace Database ProQuest Medical Library ProQuest Psychology Journals Animal Behavior Abstracts Materials Science & Engineering Collection Immunology Abstracts Environment Abstracts ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE MEDLINE - Academic Agricultural Science Database |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: PATMY name: Environmental Science Database url: http://search.proquest.com/environmentalscience sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Sciences (General) Physics |
| EISSN | 1476-4687 |
| EndPage | 327 |
| ExternalDocumentID | 38480963 10_1038_s41586_024_07028_5 |
| Genre | Journal Article |
| GeographicLocations | North America |
| GeographicLocations_xml | – name: North America |
| GroupedDBID | --- --Z -DZ -ET -~X .55 .CO .XZ 07C 0R~ 123 186 1OL 1VR 29M 2KS 2XV 39C 41X 53G 5RE 6TJ 70F 7RV 7X2 7X7 7XC 85S 88E 88I 8AF 8AO 8C1 8CJ 8FE 8FG 8FH 8FI 8FJ 8G5 8R4 8R5 8WZ 97F 97L A6W A7Z AAHBH AAHTB AAIKC AAKAB AAMNW AARCD AASDW AAYEP ABDQB ABFSG ABFSI ABIVO ABJCF ABJNI ABLJU ABOCM ABPEJ ABPPZ ABUFD ABUWG ABWJO ABZEH ACBEA ACBWK ACGFO ACGFS ACGOD ACIWK ACKOT ACMJI ACNCT ACPRK ACSTC ACWUS ADBBV ADFRT ADUKH AENEX AEUYN AEZWR AFANA AFBBN AFFHD AFFNX AFHIU AFKRA AFKWF AFLOW AFRAH AFSHS AGAYW AGHSJ AGSOS AGSTI AHMBA AHSBF AHWEU AIDUJ AIXLP ALFFA ALMA_UNASSIGNED_HOLDINGS ALPWD AMTXH ARAPS ARMCB ASPBG ATCPS ATHPR ATWCN AVWKF AXYYD AZFZN AZQEC BBNVY BCU BEC BENPR BGLVJ BHPHI BIN BKEYQ BKKNO BKSAR BPHCQ BVXVI CCPQU CJ0 CS3 D1I D1J D1K DU5 DWQXO E.- E.L EAP EBS EE. EMH EPS EX3 EXGXG F5P FAC FEDTE FQGFK FSGXE FYUFA GNUQQ GUQSH HCIFZ HG6 HMCUK HVGLF HZ~ IAO ICQ IEA IEP IGS IH2 IHR INH INR IOF IPY ISR K6- KB. KOO L6V L7B LGEZI LK5 LK8 LOTEE LSO M0K M1P M2M M2O M2P M7P M7R M7S N9A NADUK NAPCQ NEPJS NFIDA NXXTH O9- OBC ODYON OES OHH OMK OVD P2P P62 PATMY PCBAR PDBOC PHGZM PHGZT PJZUB PPXIY PQGLB PQQKQ PROAC PSQYO PSYQQ PTHSS PYCSY Q2X R05 RND RNS RNT RNTTT RXW S0X SC5 SHXYY SIXXV SJFOW SJN SNYQT SOJ TAE TAOOD TBHMF TDRGL TEORI TN5 TSG TUS TWZ U5U UKHRP UKR UMD UQL VVN WH7 WOW X7M XIH XKW XZL Y6R YAE YFH YJ6 YNT YOC YQT YR2 YR5 YXB YZZ ZCA ~02 ~7V ~88 ~KM 0WA AAYXX CITATION .-4 .GJ .HR 00M 08P 1CY 1VW 354 3EH 3O- 4.4 41~ 42X 4R4 663 79B 9M8 A8Z AAJYS AAKAS AAVBQ AAYOK AAYZH ABAWZ ABDBF ABDPE ABEFU ABMOR ABNNU ABTAH ACBNA ACBTR ACRPL ACTDY ACUHS ADNMO ADRHT ADYSU ADZCM AETEA AFFDN AFHKK AGCDD AGGDT AGNAY AGOIJ AIDAL AIYXT AJUXI ALIPV APEBS ARTTT B0M BCR BDKGC BES BKOMP BLC CGR CUY CVF DB5 DO4 EAD EAS EAZ EBC EBD EBO ECC ECM EIF EJD EMB EMF EMK EMOBN EPL ESE ESN ESX FA8 I-F ITC J5H L-9 MVM N4W NEJ NPM OHT P-O PEA PM3 PV9 QS- R4F RHI SKT SV3 TH9 TUD UAO UBY UHB UIG USG VOH X7L XOL YCJ YQI YQJ YV5 YXA YYP YYQ ZCG ZE2 ZGI ZHY ZKB ZKG ZY4 ~8M ~G0 3V. 7QG 7QL 7QP 7QR 7SN 7SS 7ST 7T5 7TG 7TK 7TM 7TO 7U9 7XB 88A 8FD 8FK C1K FR3 H94 K9. KL. M7N MBDVC P64 PKEHL PQEST PQUKI PRINS Q9U RC3 SOI 7X8 PUEGO |
| ID | FETCH-LOGICAL-c375t-883e53d972877cfbc7a3a9dc0e767ed2083b4a01f67284c7761850845c8b9a843 |
| IEDL.DBID | M7P |
| ISICitedReferencesCount | 37 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001262368700011&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0028-0836 1476-4687 |
| IngestDate | Wed Oct 01 14:13:59 EDT 2025 Tue Oct 07 07:28:50 EDT 2025 Thu Apr 03 07:05:15 EDT 2025 Sat Nov 29 04:19:08 EST 2025 Tue Nov 18 22:01:32 EST 2025 Mon Nov 10 01:23:16 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 8003 |
| Language | English |
| License | 2024. The Author(s), under exclusive licence to Springer Nature Limited. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c375t-883e53d972877cfbc7a3a9dc0e767ed2083b4a01f67284c7761850845c8b9a843 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ORCID | 0009-0001-1921-5429 0000-0001-9873-9767 0000-0002-0790-6097 |
| PMID | 38480963 |
| PQID | 2961737793 |
| PQPubID | 40569 |
| PageCount | 7 |
| ParticipantIDs | proquest_miscellaneous_2957166577 proquest_journals_2961737793 pubmed_primary_38480963 crossref_citationtrail_10_1038_s41586_024_07028_5 crossref_primary_10_1038_s41586_024_07028_5 springer_journals_10_1038_s41586_024_07028_5 |
| PublicationCentury | 2000 |
| PublicationDate | 2024-03-14 |
| PublicationDateYYYYMMDD | 2024-03-14 |
| PublicationDate_xml | – month: 03 year: 2024 text: 2024-03-14 day: 14 |
| PublicationDecade | 2020 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London – name: England |
| PublicationSubtitle | International weekly journal of science |
| PublicationTitle | Nature (London) |
| PublicationTitleAbbrev | Nature |
| PublicationTitleAlternate | Nature |
| PublicationYear | 2024 |
| Publisher | Nature Publishing Group UK Nature Publishing Group |
| Publisher_xml | – name: Nature Publishing Group UK – name: Nature Publishing Group |
| References | FlanniganMDKrawchukMAde GrootWJWottonBMGowmanLMImplications of changing climate for global wildland fireInt. J. Wildland Fire20091848350710.1071/WF08187 TymstraCJainPFlanniganMDCharacterisation of initial fire weather conditions for large spring wildfires in Alberta, CanadaInt. J. Wildland Fire20213082383510.1071/WF21045 WangXcffdrs: an R package for the Canadian Forest Fire Danger Rating SystemEcol. Process.2017651:CAS:528:DC%2BC1MXjs1OhtLY%3D10.1186/s13717-017-0070-z AbatzoglouJTWilliamsAPBoschettiLZubkovaMKoldenCAGlobal patterns of interannual climate–fire relationshipsGlob. Change Biol.201824516451752018GCBio..24.5164A10.1111/gcb.14405 BalchJKThe susceptibility of southeastern Amazon forests to fire: insights from a large-scale burn experimentBioscience20156589390510.1093/biosci/biv106 SchroederWOlivaPGiglioLCsiszarIAThe New VIIRS 375 m active fire detection data product: algorithm description and initial assessmentRemote Sens. Environ.201414385962014RSEnv.143...85S10.1016/j.rse.2013.12.008 BistinasIHarrisonSPrenticeIPereiraJCausal relationships versus emergent patterns in the global controls of fire frequencyBiogeosciences201411508751012014BGeo...11.5087B10.5194/bg-11-5087-2014 Kuhn, M. Caret: classification and regression training. Astrophysics Source Code Library, record ascl:1505.003; https://ascl.net/1505.003 (accessed 20 May 2022). Zachariassen, J., Zeller, K. F., Nikolov, N. & McClelland, T. A Review of the Forest Service Remote Automated Weather Station (RAWS) Network General Technical Report RMRS-GTR-119 (U.S. Department of Agriculture, Forest Service, 2003). BalchJKWarming weakens the night-time barrier to global fireNature20226024424482022Natur.602..442B1:CAS:528:DC%2BB38XjvFOku74%3D3517334210.1038/s41586-021-04325-1 VineyNRA review of fine fuel moisture modellingInt. J. Wildland Fire1991121523410.1071/WF9910215 OlsonDMTerrestrial ecoregions of the world: a new map of life on Earth: a new global map of terrestrial ecoregions provides an innovative tool for conserving biodiversityBioScience20015193393810.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2 RobertsGWoosterMLagoudakisEAnnual and diurnal African biomass burning temporal dynamicsBiogeosciences200968498662009BGeo....6..849R10.5194/bg-6-849-2009 PageWGFreebornPHButlerBWJollyWMA review of US wildland firefighter entrapments: trends, important environmental factors and research needsInt. J. Wildland Fire20192855156910.1071/WF19022 Maier, S. W. & Russell-Smith, J. in Flammable Australia: Fire Regimes, Biodiversity and Ecosystems in a Changing World (eds Bradstock, R. A. et al.) 79–95 (CSIRO Publishing, 2012). WangXSwystunTFlanniganMDFuture wildfire extent and frequency determined by the longest fire-conducive weather spellSci. Total Environ.20228301547522022ScTEn.830o4752W1:CAS:528:DC%2BB38XptVSls7g%3D3533955810.1016/j.scitotenv.2022.154752 van Wagtendonk, J. W. in Fire in California’s Ecosystems (eds Sugihara, N. G. et al.) 38–57 (Univ. California Press, 2006). PageWGJenkinsMJAlexanderMEFoliar moisture content variations in lodgepole pine over the diurnal cycle during the red stage of mountain pine beetle attackEnviron. Model. Softw.2013499810210.1016/j.envsoft.2013.08.001 Van Wagner, C. E. A Method of Computing Fine Fuel Moisture Content Throughout the Diurnal Cycle Information Report PS-X-69 (Canadian Forestry Service, 1977). GrootWJDFieldRDBradyMARoswintiartiOMohamadMDevelopment of the Indonesian and Malaysian fire danger rating systemsMitig. Adapt. Strateg. Glob. Change20071216518010.1007/s11027-006-9043-8 Wotton, B. M. in Proc. Eighth Symposium on Fire and Forest Meteorology 13–15 (American Meteorological Society, 2009). ScholtenRCJandtRMillerEARogersBMVeraverbekeSOverwintering fires in boreal forestsNature20215933994042021Natur.593..399S1:CAS:528:DC%2BB3MXhtFanurzI3401208310.1038/s41586-021-03437-y WilliamsAPObserved impacts of anthropogenic climate change on wildfire in CaliforniaEarths Future201978929102019EaFut...7..892W10.1029/2019EF001210 HallRGenerating annual estimates of forest fire disturbance in Canada: the National Burned Area CompositeInt. J. Wildland Fire20202987889110.1071/WF19201 Ho, T. K. in Proc. 3rd International Conference on Document Analysis and Recognition 278–282 (IEEE, 1995). VoseRSEasterlingDRGleasonBMaximum and minimum temperature trends for the globe: an update through 2004Geophys. Res. Lett.200532L238222005GeoRL..3223822V10.1029/2005GL024379 JainPCastellanos-AcunaDCooganSCAbatzoglouJTFlanniganMDObserved increases in extreme fire weather driven by atmospheric humidity and temperatureNat. Clim. Change20221263702022NatCC..12...63J10.1038/s41558-021-01224-1 VincentGESleep in wildland firefighters: what do we know and why does it matter?Int. J. Wildland Fire201827738410.1071/WF17109 Pyne, S. J. Fire in America: A Cultural History of Wildland and Rural Fire (Univ. Washington Press, 2017). HallJVZhangRSchroederWHuangCGiglioLValidation of GOES-16 ABI and MSG SEVIRI active fire productsInt. J. Appl. Earth Obs. Geoinf.201983101928 WangXIncreasing frequency of extreme fire weather in Canada with climate changeClim. Change20151305735862015ClCh..130..573W10.1007/s10584-015-1375-5 AlduchovOAEskridgeREImproved Magnus form approximation of saturation vapor pressureJ. Appl. Meteorol. Climatol.1996356016091996JApMe..35..601A10.1175/1520-0450(1996)035<0601:IMFAOS>2.0.CO;2 DavyREsauIChernokulskyAOuttenSZilitinkevichSDiurnal asymmetry to the observed global warmingInt. J. Climatol.201737799310.1002/joc.4688 HanleyJAMcNeilBJThe meaning and use of the area under a receiver operating characteristic (ROC) curveRadiology198214329361:STN:280:DyaL387ltFyksQ%3D%3D706374710.1148/radiology.143.1.7063747 ChiodiAMPotterBELarkinNKMulti‐decadal change in western US nighttime vapor pressure deficitGeophys. Res. Lett.202148e2021GL0928302021GeoRL..4892830C10.1029/2021GL092830 Van Wagner, C. E. Development and Structure of the Canadian Forest Fire Weather Index System (Canadian Forestry Service, 1987). Di GiuseppeFThe potential predictability of fire danger provided by numerical weather predictionJ. Appl. Meteorol. Climatol.201655246924912016JApMC..55.2469D10.1175/JAMC-D-15-0297.1 WangXProjected changes in fire size from daily spread potential in Canada over the 21st centuryEnviron. Res. Lett.2020151040482020ERL....15j4048W10.1088/1748-9326/aba101 WoosterMJSatellite remote sensing of active fires: history and current status, applications and future requirementsRemote Sens. Environ.202126711269410.1016/j.rse.2021.112694 Di GiuseppeFFire Weather Index: the skill provided by the European Centre for Medium-Range Weather Forecasts ensemble prediction systemNat. Hazards Earth Syst. Sci.202020236523782020NHESS..20.2365D10.5194/nhess-20-2365-2020 GiglioLSchroederWJusticeCOThe collection 6 MODIS active fire detection algorithm and fire productsRemote Sens. Environ.201617831412016RSEnv.178...31G30158718611011010.1016/j.rse.2016.02.054 VeraverbekeSLightning as a major driver of recent large fire years in North American boreal forestsNat. Clim. Change201775295342017NatCC...7..529V10.1038/nclimate3329 AndelaNKaiserJvan der WerfGWoosterMNew fire diurnal cycle characterizations to improve fire radiative energy assessments made from MODIS observationsAtmos. Chem. Phys.201515883188462015ACP....15.8831A1:CAS:528:DC%2BC2MXhsVSrsLvN10.5194/acp-15-8831-2015 PodurJWottonBMDefining fire spread event days for fire-growth modellingInt. J. Wildland Fire20112049750710.1071/WF09001 Welty, J. & Jeffries, M. Combined Wildland Fire Datasets for the United States and Certain Territories, 1800s-Present (U.S. Geological Survey, 2021); https://doi.org/10.5066/P9ZXGFY3. BowmanDMVegetation fires in the AnthropoceneNat. Rev. Earth Environ.202015005152020NRvEE...1..500B10.1038/s43017-020-0085-3 ZhangTWoosterMJXuWApproaches for synergistically exploiting VIIRS I- and M-Band data in regional active fire detection and FRP assessment: a demonstration with respect to agricultural residue burning in Eastern ChinaRemote Sens. Environ.20171984074242017RSEnv.198..407Z10.1016/j.rse.2017.06.028 HersbachHThe ERA5 global reanalysisQ. J. R. Meteorol. Soc.2020146199920492020QJRMS.146.1999H10.1002/qj.3803 GiglioLCsiszarIJusticeCOGlobal distribution and seasonality of active fires as observed with the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) sensorsJ. Geophys. Res. Biogeosci.2006111G020162006JGRG..111.2016G10.1029/2005JG000142 FreebornPHJollyWMCochraneMARobertsGLarge wildfire driven increases in nighttime fire activity observed across CONUS from 2003–2020Remote Sens. Environ.202226811277710.1016/j.rse.2021.112777 WilliamsonGJMeasurement of inter- and intra-annual variability of landscape fire activity at a continental scale: the Australian caseEnviron. Res. Lett.2016110350032016ERL....11c5003W10.1088/1748-9326/11/3/035003 AmraouiMDaCamaraCPereiraJDetection and monitoring of African vegetation fires using MSG-SEVIRI imageryRemote Sens. Environ.2010114103810522010RSEnv.114.1038A10.1016/j.rse.2009.12.019 McHugh, C. W. & Gleason, P. in Hayman Fire Case Study General Technical Report RMRS-GTR-114 (ed. Graham, R. T.) 131–144 (USDA Forest Service, 2003). WoosterMJMeteosat SEVIRI Fire Radiative Power (FRP) products from the Land Surface Analysis Satellite Applications Facility (LSA SAF) – part 1: algorithms, product contents and analysisAtmos. Chem. Phys. Discuss.20151515831159072015ACPD...1515831W McElhinnyMBeckersJFHanesCFlanniganMJainPA high-resolution reanalysis of global fire weather from 1979 to 2018–overwintering the Drought CodeEarth Syst. Sci. Data202012182318332020ESSD...12.1823M10.5194/essd-12-1823-2020 VadrevuKPEllicottEBadarinathKVermoteEMODIS derived fire characteristics and aerosol optical depth variations during the agricultural residue burning season, north IndiaEnviron. Pollut.2011159156015691:CAS:528:DC%2BC3MXltFOqtrw%3D2144413510.1016/j.envpol.2011.03.001 WottonBMInterpreting and using outputs from the Canadian Forest Fire Danger Rating System in research applicationsEnviron. Ecol. Stat.20091610713126687291:CAS:528:DC%2 7028_CR65 TJ Schmit (7028_CR31) 2017; 98 X Wang (7028_CR43) 2020; 15 J Eidenshink (7028_CR52) 2007; 3 X Wang (7028_CR21) 2022; 830 GJ Williamson (7028_CR10) 2016; 11 L Giglio (7028_CR59) 2016; 178 X Wang (7028_CR49) 2015; 130 MJ Wooster (7028_CR33) 2021; 267 AP Williams (7028_CR45) 2019; 7 R Hall (7028_CR51) 2020; 29 S Veraverbeke (7028_CR20) 2017; 7 7028_CR26 NR Viney (7028_CR29) 1991; 1 7028_CR30 KP Vadrevu (7028_CR3) 2011; 159 JK Balch (7028_CR18) 2015; 65 F Di Giuseppe (7028_CR60) 2020; 20 RC Scholten (7028_CR37) 2021; 593 L Giglio (7028_CR12) 2006; 111 RS Vose (7028_CR46) 2005; 32 F Di Giuseppe (7028_CR25) 2016; 55 G Roberts (7028_CR14) 2009; 6 J Podur (7028_CR34) 2011; 20 X Wang (7028_CR61) 2017; 6 R Davy (7028_CR8) 2017; 37 DM Olson (7028_CR50) 2001; 51 AM Chiodi (7028_CR7) 2021; 48 WM Jolly (7028_CR24) 2015; 6 7028_CR35 N Andela (7028_CR17) 2015; 15 7028_CR36 7028_CR42 M McElhinny (7028_CR62) 2020; 12 P Jain (7028_CR9) 2022; 12 X Yuan (7028_CR47) 2023; 380 GE Vincent (7028_CR38) 2018; 27 W Schroeder (7028_CR58) 2014; 143 WG Page (7028_CR39) 2019; 28 MD Flannigan (7028_CR48) 2009; 18 T Zhang (7028_CR2) 2017; 198 JK Balch (7028_CR6) 2022; 602 PH Freeborn (7028_CR11) 2022; 268 BM Wotton (7028_CR27) 2009; 16 7028_CR5 7028_CR4 7028_CR1 JV Hall (7028_CR54) 2019; 83 7028_CR53 OA Alduchov (7028_CR63) 1996; 35 C Tymstra (7028_CR41) 2021; 30 L Giglio (7028_CR13) 2007; 108 I Bistinas (7028_CR28) 2014; 11 JA Hanley (7028_CR64) 1982; 143 WJD Groot (7028_CR22) 2007; 12 DM Bowman (7028_CR44) 2020; 1 JT Abatzoglou (7028_CR23) 2018; 24 M Amraoui (7028_CR15) 2010; 114 WG Page (7028_CR56) 2013; 49 7028_CR16 7028_CR19 H Hersbach (7028_CR32) 2020; 146 C Tymstra (7028_CR40) 2020; 5 7028_CR57 MJ Wooster (7028_CR55) 2015; 15 |
| References_xml | – reference: ZhangTWoosterMJXuWApproaches for synergistically exploiting VIIRS I- and M-Band data in regional active fire detection and FRP assessment: a demonstration with respect to agricultural residue burning in Eastern ChinaRemote Sens. Environ.20171984074242017RSEnv.198..407Z10.1016/j.rse.2017.06.028 – reference: PodurJWottonBMDefining fire spread event days for fire-growth modellingInt. J. Wildland Fire20112049750710.1071/WF09001 – reference: TymstraCJainPFlanniganMDCharacterisation of initial fire weather conditions for large spring wildfires in Alberta, CanadaInt. J. Wildland Fire20213082383510.1071/WF21045 – reference: WilliamsonGJMeasurement of inter- and intra-annual variability of landscape fire activity at a continental scale: the Australian caseEnviron. Res. Lett.2016110350032016ERL....11c5003W10.1088/1748-9326/11/3/035003 – reference: GiglioLCsiszarIJusticeCOGlobal distribution and seasonality of active fires as observed with the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) sensorsJ. Geophys. Res. Biogeosci.2006111G020162006JGRG..111.2016G10.1029/2005JG000142 – reference: ScholtenRCJandtRMillerEARogersBMVeraverbekeSOverwintering fires in boreal forestsNature20215933994042021Natur.593..399S1:CAS:528:DC%2BB3MXhtFanurzI3401208310.1038/s41586-021-03437-y – reference: HersbachHThe ERA5 global reanalysisQ. J. R. Meteorol. Soc.2020146199920492020QJRMS.146.1999H10.1002/qj.3803 – reference: HallJVZhangRSchroederWHuangCGiglioLValidation of GOES-16 ABI and MSG SEVIRI active fire productsInt. J. Appl. Earth Obs. Geoinf.201983101928 – reference: AndelaNKaiserJvan der WerfGWoosterMNew fire diurnal cycle characterizations to improve fire radiative energy assessments made from MODIS observationsAtmos. Chem. Phys.201515883188462015ACP....15.8831A1:CAS:528:DC%2BC2MXhsVSrsLvN10.5194/acp-15-8831-2015 – reference: WangXIncreasing frequency of extreme fire weather in Canada with climate changeClim. Change20151305735862015ClCh..130..573W10.1007/s10584-015-1375-5 – reference: VadrevuKPEllicottEBadarinathKVermoteEMODIS derived fire characteristics and aerosol optical depth variations during the agricultural residue burning season, north IndiaEnviron. Pollut.2011159156015691:CAS:528:DC%2BC3MXltFOqtrw%3D2144413510.1016/j.envpol.2011.03.001 – reference: GiglioLSchroederWJusticeCOThe collection 6 MODIS active fire detection algorithm and fire productsRemote Sens. Environ.201617831412016RSEnv.178...31G30158718611011010.1016/j.rse.2016.02.054 – reference: OlsonDMTerrestrial ecoregions of the world: a new map of life on Earth: a new global map of terrestrial ecoregions provides an innovative tool for conserving biodiversityBioScience20015193393810.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2 – reference: McElhinnyMBeckersJFHanesCFlanniganMJainPA high-resolution reanalysis of global fire weather from 1979 to 2018–overwintering the Drought CodeEarth Syst. Sci. Data202012182318332020ESSD...12.1823M10.5194/essd-12-1823-2020 – reference: HanleyJAMcNeilBJThe meaning and use of the area under a receiver operating characteristic (ROC) curveRadiology198214329361:STN:280:DyaL387ltFyksQ%3D%3D706374710.1148/radiology.143.1.7063747 – reference: VineyNRA review of fine fuel moisture modellingInt. J. Wildland Fire1991121523410.1071/WF9910215 – reference: AbatzoglouJTWilliamsAPBoschettiLZubkovaMKoldenCAGlobal patterns of interannual climate–fire relationshipsGlob. Change Biol.201824516451752018GCBio..24.5164A10.1111/gcb.14405 – reference: JollyWMClimate-induced variations in global wildfire danger from 1979 to 2013Nat. Commun.2015675372015NatCo...6.7537J1:CAS:528:DC%2BC2MXhtlCjsb7P2617286710.1038/ncomms8537 – reference: WottonBMInterpreting and using outputs from the Canadian Forest Fire Danger Rating System in research applicationsEnviron. Ecol. Stat.20091610713126687291:CAS:528:DC%2BD1MXltVCgs7w%3D10.1007/s10651-007-0084-2 – reference: WilliamsAPObserved impacts of anthropogenic climate change on wildfire in CaliforniaEarths Future201978929102019EaFut...7..892W10.1029/2019EF001210 – reference: EidenshinkJA project for monitoring trends in burn severityFire Ecol.2007332110.4996/fireecology.0301003 – reference: Di GiuseppeFFire Weather Index: the skill provided by the European Centre for Medium-Range Weather Forecasts ensemble prediction systemNat. Hazards Earth Syst. Sci.202020236523782020NHESS..20.2365D10.5194/nhess-20-2365-2020 – reference: Cohen, J. D. & Deeming, J. E. The National Fire-danger Rating System: Basic Equations General Technical Report PSW-82 16 (U.S. Department of Agriculture, Forest Service, 1985). – reference: JainPCastellanos-AcunaDCooganSCAbatzoglouJTFlanniganMDObserved increases in extreme fire weather driven by atmospheric humidity and temperatureNat. Clim. Change20221263702022NatCC..12...63J10.1038/s41558-021-01224-1 – reference: Maier, S. W. & Russell-Smith, J. in Flammable Australia: Fire Regimes, Biodiversity and Ecosystems in a Changing World (eds Bradstock, R. A. et al.) 79–95 (CSIRO Publishing, 2012). – reference: GiglioLCharacterization of the tropical diurnal fire cycle using VIRS and MODIS observationsRemote Sens. Environ.20071084074212007RSEnv.108..407G10.1016/j.rse.2006.11.018 – reference: Van Wagner, C. E. A Method of Computing Fine Fuel Moisture Content Throughout the Diurnal Cycle Information Report PS-X-69 (Canadian Forestry Service, 1977). – reference: BalchJKWarming weakens the night-time barrier to global fireNature20226024424482022Natur.602..442B1:CAS:528:DC%2BB38XjvFOku74%3D3517334210.1038/s41586-021-04325-1 – reference: RobertsGWoosterMLagoudakisEAnnual and diurnal African biomass burning temporal dynamicsBiogeosciences200968498662009BGeo....6..849R10.5194/bg-6-849-2009 – reference: BowmanDMVegetation fires in the AnthropoceneNat. Rev. Earth Environ.202015005152020NRvEE...1..500B10.1038/s43017-020-0085-3 – reference: McHugh, C. W. & Gleason, P. in Hayman Fire Case Study General Technical Report RMRS-GTR-114 (ed. Graham, R. T.) 131–144 (USDA Forest Service, 2003). – reference: FreebornPHJollyWMCochraneMARobertsGLarge wildfire driven increases in nighttime fire activity observed across CONUS from 2003–2020Remote Sens. Environ.202226811277710.1016/j.rse.2021.112777 – reference: WangXSwystunTFlanniganMDFuture wildfire extent and frequency determined by the longest fire-conducive weather spellSci. Total Environ.20228301547522022ScTEn.830o4752W1:CAS:528:DC%2BB38XptVSls7g%3D3533955810.1016/j.scitotenv.2022.154752 – reference: van Wagtendonk, J. W. in Fire in California’s Ecosystems (eds Sugihara, N. G. et al.) 38–57 (Univ. California Press, 2006). – reference: SchroederWOlivaPGiglioLCsiszarIAThe New VIIRS 375 m active fire detection data product: algorithm description and initial assessmentRemote Sens. Environ.201414385962014RSEnv.143...85S10.1016/j.rse.2013.12.008 – reference: Ho, T. K. in Proc. 3rd International Conference on Document Analysis and Recognition 278–282 (IEEE, 1995). – reference: VincentGESleep in wildland firefighters: what do we know and why does it matter?Int. J. Wildland Fire201827738410.1071/WF17109 – reference: SchmitTJA closer look at the ABI on the GOES-R seriesBull. Am. Meteorol. Soc.2017986816982017BAMS...98..681S10.1175/BAMS-D-15-00230.1 – reference: Kuhn, M. Caret: classification and regression training. Astrophysics Source Code Library, record ascl:1505.003; https://ascl.net/1505.003 (accessed 20 May 2022). – reference: YuanXA global transition to flash droughts under climate changeScience20233801871912023Sci...380..187Y1:CAS:528:DC%2BB3sXnslOmsrc%3D3705331610.1126/science.abn6301 – reference: HallRGenerating annual estimates of forest fire disturbance in Canada: the National Burned Area CompositeInt. J. Wildland Fire20202987889110.1071/WF19201 – reference: VeraverbekeSLightning as a major driver of recent large fire years in North American boreal forestsNat. Clim. Change201775295342017NatCC...7..529V10.1038/nclimate3329 – reference: AmraouiMDaCamaraCPereiraJDetection and monitoring of African vegetation fires using MSG-SEVIRI imageryRemote Sens. Environ.2010114103810522010RSEnv.114.1038A10.1016/j.rse.2009.12.019 – reference: VoseRSEasterlingDRGleasonBMaximum and minimum temperature trends for the globe: an update through 2004Geophys. Res. Lett.200532L238222005GeoRL..3223822V10.1029/2005GL024379 – reference: DavyREsauIChernokulskyAOuttenSZilitinkevichSDiurnal asymmetry to the observed global warmingInt. J. Climatol.201737799310.1002/joc.4688 – reference: PageWGFreebornPHButlerBWJollyWMA review of US wildland firefighter entrapments: trends, important environmental factors and research needsInt. J. Wildland Fire20192855156910.1071/WF19022 – reference: Wotton, B. M. in Proc. Eighth Symposium on Fire and Forest Meteorology 13–15 (American Meteorological Society, 2009). – reference: WangXcffdrs: an R package for the Canadian Forest Fire Danger Rating SystemEcol. Process.2017651:CAS:528:DC%2BC1MXjs1OhtLY%3D10.1186/s13717-017-0070-z – reference: Van Wagner, C. E. Development and Structure of the Canadian Forest Fire Weather Index System (Canadian Forestry Service, 1987). – reference: WoosterMJSatellite remote sensing of active fires: history and current status, applications and future requirementsRemote Sens. Environ.202126711269410.1016/j.rse.2021.112694 – reference: Welty, J. & Jeffries, M. Combined Wildland Fire Datasets for the United States and Certain Territories, 1800s-Present (U.S. Geological Survey, 2021); https://doi.org/10.5066/P9ZXGFY3. – reference: Arno, S. F. in Wildland Fire in Ecosystems: Effects of Fire on Flora General Technical Report RMRS-GTR-42-vol 2 (eds Brown, J. K. & Smith, J. K.) 97–120 (USDA Forest Service, 2000). – reference: WoosterMJMeteosat SEVIRI Fire Radiative Power (FRP) products from the Land Surface Analysis Satellite Applications Facility (LSA SAF) – part 1: algorithms, product contents and analysisAtmos. Chem. Phys. Discuss.20151515831159072015ACPD...1515831W – reference: WangXProjected changes in fire size from daily spread potential in Canada over the 21st centuryEnviron. Res. Lett.2020151040482020ERL....15j4048W10.1088/1748-9326/aba101 – reference: Pyne, S. J. Fire in America: A Cultural History of Wildland and Rural Fire (Univ. Washington Press, 2017). – reference: Di GiuseppeFThe potential predictability of fire danger provided by numerical weather predictionJ. Appl. Meteorol. Climatol.201655246924912016JApMC..55.2469D10.1175/JAMC-D-15-0297.1 – reference: BistinasIHarrisonSPrenticeIPereiraJCausal relationships versus emergent patterns in the global controls of fire frequencyBiogeosciences201411508751012014BGeo...11.5087B10.5194/bg-11-5087-2014 – reference: FlanniganMDKrawchukMAde GrootWJWottonBMGowmanLMImplications of changing climate for global wildland fireInt. J. Wildland Fire20091848350710.1071/WF08187 – reference: GrootWJDFieldRDBradyMARoswintiartiOMohamadMDevelopment of the Indonesian and Malaysian fire danger rating systemsMitig. Adapt. Strateg. Glob. Change20071216518010.1007/s11027-006-9043-8 – reference: BalchJKThe susceptibility of southeastern Amazon forests to fire: insights from a large-scale burn experimentBioscience20156589390510.1093/biosci/biv106 – reference: ChiodiAMPotterBELarkinNKMulti‐decadal change in western US nighttime vapor pressure deficitGeophys. Res. Lett.202148e2021GL0928302021GeoRL..4892830C10.1029/2021GL092830 – reference: Zachariassen, J., Zeller, K. F., Nikolov, N. & McClelland, T. A Review of the Forest Service Remote Automated Weather Station (RAWS) Network General Technical Report RMRS-GTR-119 (U.S. Department of Agriculture, Forest Service, 2003). – reference: PageWGJenkinsMJAlexanderMEFoliar moisture content variations in lodgepole pine over the diurnal cycle during the red stage of mountain pine beetle attackEnviron. Model. Softw.2013499810210.1016/j.envsoft.2013.08.001 – reference: AlduchovOAEskridgeREImproved Magnus form approximation of saturation vapor pressureJ. Appl. Meteorol. Climatol.1996356016091996JApMe..35..601A10.1175/1520-0450(1996)035<0601:IMFAOS>2.0.CO;2 – reference: TymstraCStocksBJCaiXFlanniganMDWildfire management in Canada: review, challenges and opportunitiesProg. Disaster Sci.2020510004510.1016/j.pdisas.2019.100045 – ident: 7028_CR57 – volume: 146 start-page: 1999 year: 2020 ident: 7028_CR32 publication-title: Q. J. R. Meteorol. Soc. doi: 10.1002/qj.3803 – volume: 830 start-page: 154752 year: 2022 ident: 7028_CR21 publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2022.154752 – volume: 29 start-page: 878 year: 2020 ident: 7028_CR51 publication-title: Int. J. Wildland Fire doi: 10.1071/WF19201 – volume: 30 start-page: 823 year: 2021 ident: 7028_CR41 publication-title: Int. J. Wildland Fire doi: 10.1071/WF21045 – volume: 18 start-page: 483 year: 2009 ident: 7028_CR48 publication-title: Int. J. Wildland Fire doi: 10.1071/WF08187 – ident: 7028_CR36 doi: 10.2737/RMRS-GTR-119 – volume: 268 start-page: 112777 year: 2022 ident: 7028_CR11 publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2021.112777 – volume: 83 start-page: 101928 year: 2019 ident: 7028_CR54 publication-title: Int. J. Appl. Earth Obs. Geoinf. – volume: 130 start-page: 573 year: 2015 ident: 7028_CR49 publication-title: Clim. Change doi: 10.1007/s10584-015-1375-5 – ident: 7028_CR5 – volume: 7 start-page: 892 year: 2019 ident: 7028_CR45 publication-title: Earths Future doi: 10.1029/2019EF001210 – volume: 114 start-page: 1038 year: 2010 ident: 7028_CR15 publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2009.12.019 – volume: 593 start-page: 399 year: 2021 ident: 7028_CR37 publication-title: Nature doi: 10.1038/s41586-021-03437-y – ident: 7028_CR1 – volume: 65 start-page: 893 year: 2015 ident: 7028_CR18 publication-title: Bioscience doi: 10.1093/biosci/biv106 – volume: 51 start-page: 933 year: 2001 ident: 7028_CR50 publication-title: BioScience doi: 10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2 – ident: 7028_CR53 doi: 10.5066/P9ZXGFY3 – volume: 15 start-page: 8831 year: 2015 ident: 7028_CR17 publication-title: Atmos. Chem. Phys. doi: 10.5194/acp-15-8831-2015 – ident: 7028_CR16 – volume: 27 start-page: 73 year: 2018 ident: 7028_CR38 publication-title: Int. J. Wildland Fire doi: 10.1071/WF17109 – volume: 98 start-page: 681 year: 2017 ident: 7028_CR31 publication-title: Bull. Am. Meteorol. Soc. doi: 10.1175/BAMS-D-15-00230.1 – volume: 11 start-page: 035003 year: 2016 ident: 7028_CR10 publication-title: Environ. Res. Lett. doi: 10.1088/1748-9326/11/3/035003 – ident: 7028_CR19 – volume: 178 start-page: 31 year: 2016 ident: 7028_CR59 publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2016.02.054 – volume: 48 start-page: e2021GL092830 year: 2021 ident: 7028_CR7 publication-title: Geophys. Res. Lett. doi: 10.1029/2021GL092830 – volume: 15 start-page: 104048 year: 2020 ident: 7028_CR43 publication-title: Environ. Res. Lett. doi: 10.1088/1748-9326/aba101 – volume: 198 start-page: 407 year: 2017 ident: 7028_CR2 publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2017.06.028 – ident: 7028_CR26 – volume: 6 start-page: 849 year: 2009 ident: 7028_CR14 publication-title: Biogeosciences doi: 10.5194/bg-6-849-2009 – volume: 32 start-page: L23822 year: 2005 ident: 7028_CR46 publication-title: Geophys. Res. Lett. doi: 10.1029/2005GL024379 – volume: 11 start-page: 5087 year: 2014 ident: 7028_CR28 publication-title: Biogeosciences doi: 10.5194/bg-11-5087-2014 – volume: 6 start-page: 5 year: 2017 ident: 7028_CR61 publication-title: Ecol. Process. doi: 10.1186/s13717-017-0070-z – volume: 20 start-page: 2365 year: 2020 ident: 7028_CR60 publication-title: Nat. Hazards Earth Syst. Sci. doi: 10.5194/nhess-20-2365-2020 – volume: 380 start-page: 187 year: 2023 ident: 7028_CR47 publication-title: Science doi: 10.1126/science.abn6301 – volume: 6 start-page: 7537 year: 2015 ident: 7028_CR24 publication-title: Nat. Commun. doi: 10.1038/ncomms8537 – volume: 5 start-page: 100045 year: 2020 ident: 7028_CR40 publication-title: Prog. Disaster Sci. doi: 10.1016/j.pdisas.2019.100045 – ident: 7028_CR42 doi: 10.1525/california/9780520246058.003.0003 – volume: 37 start-page: 79 year: 2017 ident: 7028_CR8 publication-title: Int. J. Climatol. doi: 10.1002/joc.4688 – ident: 7028_CR30 doi: 10.2737/PSW-GTR-82 – ident: 7028_CR65 – volume: 108 start-page: 407 year: 2007 ident: 7028_CR13 publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2006.11.018 – volume: 49 start-page: 98 year: 2013 ident: 7028_CR56 publication-title: Environ. Model. Softw. doi: 10.1016/j.envsoft.2013.08.001 – volume: 267 start-page: 112694 year: 2021 ident: 7028_CR33 publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2021.112694 – volume: 15 start-page: 15831 year: 2015 ident: 7028_CR55 publication-title: Atmos. Chem. Phys. Discuss. – volume: 159 start-page: 1560 year: 2011 ident: 7028_CR3 publication-title: Environ. Pollut. doi: 10.1016/j.envpol.2011.03.001 – volume: 20 start-page: 497 year: 2011 ident: 7028_CR34 publication-title: Int. J. Wildland Fire doi: 10.1071/WF09001 – volume: 602 start-page: 442 year: 2022 ident: 7028_CR6 publication-title: Nature doi: 10.1038/s41586-021-04325-1 – ident: 7028_CR35 – volume: 12 start-page: 63 year: 2022 ident: 7028_CR9 publication-title: Nat. Clim. Change doi: 10.1038/s41558-021-01224-1 – volume: 111 start-page: G02016 year: 2006 ident: 7028_CR12 publication-title: J. Geophys. Res. Biogeosci. doi: 10.1029/2005JG000142 – volume: 35 start-page: 601 year: 1996 ident: 7028_CR63 publication-title: J. Appl. Meteorol. Climatol. doi: 10.1175/1520-0450(1996)035<0601:IMFAOS>2.0.CO;2 – volume: 55 start-page: 2469 year: 2016 ident: 7028_CR25 publication-title: J. Appl. Meteorol. Climatol. doi: 10.1175/JAMC-D-15-0297.1 – volume: 1 start-page: 500 year: 2020 ident: 7028_CR44 publication-title: Nat. Rev. Earth Environ. doi: 10.1038/s43017-020-0085-3 – volume: 12 start-page: 1823 year: 2020 ident: 7028_CR62 publication-title: Earth Syst. Sci. Data doi: 10.5194/essd-12-1823-2020 – volume: 12 start-page: 165 year: 2007 ident: 7028_CR22 publication-title: Mitig. Adapt. Strateg. Glob. Change doi: 10.1007/s11027-006-9043-8 – volume: 1 start-page: 215 year: 1991 ident: 7028_CR29 publication-title: Int. J. Wildland Fire doi: 10.1071/WF9910215 – volume: 143 start-page: 85 year: 2014 ident: 7028_CR58 publication-title: Remote Sens. Environ. doi: 10.1016/j.rse.2013.12.008 – volume: 28 start-page: 551 year: 2019 ident: 7028_CR39 publication-title: Int. J. Wildland Fire doi: 10.1071/WF19022 – volume: 143 start-page: 29 year: 1982 ident: 7028_CR64 publication-title: Radiology doi: 10.1148/radiology.143.1.7063747 – ident: 7028_CR4 – volume: 7 start-page: 529 year: 2017 ident: 7028_CR20 publication-title: Nat. Clim. Change doi: 10.1038/nclimate3329 – volume: 3 start-page: 3 year: 2007 ident: 7028_CR52 publication-title: Fire Ecol. doi: 10.4996/fireecology.0301003 – volume: 24 start-page: 5164 year: 2018 ident: 7028_CR23 publication-title: Glob. Change Biol. doi: 10.1111/gcb.14405 – volume: 16 start-page: 107 year: 2009 ident: 7028_CR27 publication-title: Environ. Ecol. Stat. doi: 10.1007/s10651-007-0084-2 |
| SSID | ssj0005174 |
| Score | 2.5852587 |
| Snippet | Overnight fires are emerging in North America with previously unknown drivers and implications. This notable phenomenon challenges the traditional... |
| SourceID | proquest pubmed crossref springer |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 321 |
| SubjectTerms | 704/106/694/2739 704/106/694/2739/2807 704/158/2465 Burning Darkness Diurnal Diurnal cycle Diurnal variations Drought Drought conditions Droughts - statistics & numerical data Ecosystem Fire weather Fires Geostationary satellites Humanities and Social Sciences Mountains multidisciplinary Night Nighttime North America Satellite data Satellites Science Science (multidisciplinary) Synchronous satellites Weather Weather conditions Wildfires Wildfires - statistics & numerical data |
| Title | Drought triggers and sustains overnight fires in North America |
| URI | https://link.springer.com/article/10.1038/s41586-024-07028-5 https://www.ncbi.nlm.nih.gov/pubmed/38480963 https://www.proquest.com/docview/2961737793 https://www.proquest.com/docview/2957166577 |
| Volume | 627 |
| WOSCitedRecordID | wos001262368700011&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAQT databaseName: Nature customDbUrl: eissn: 1476-4687 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0005174 issn: 0028-0836 databaseCode: RNT dateStart: 19970101 isFulltext: true titleUrlDefault: https://www.nature.com providerName: Nature Publishing – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 1476-4687 dateEnd: 20241207 omitProxy: false ssIdentifier: ssj0005174 issn: 0028-0836 databaseCode: P5Z dateStart: 19880107 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: Agricultural Science Database customDbUrl: eissn: 1476-4687 dateEnd: 20241207 omitProxy: false ssIdentifier: ssj0005174 issn: 0028-0836 databaseCode: M0K dateStart: 19880107 isFulltext: true titleUrlDefault: https://search.proquest.com/agriculturejournals providerName: ProQuest – providerCode: PRVPQU databaseName: Biological Science Database (ProQuest) customDbUrl: eissn: 1476-4687 dateEnd: 20241207 omitProxy: false ssIdentifier: ssj0005174 issn: 0028-0836 databaseCode: M7P dateStart: 19880107 isFulltext: true titleUrlDefault: http://search.proquest.com/biologicalscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: Earth, Atmospheric & Aquatic Science Database customDbUrl: eissn: 1476-4687 dateEnd: 20241207 omitProxy: false ssIdentifier: ssj0005174 issn: 0028-0836 databaseCode: PCBAR dateStart: 19880107 isFulltext: true titleUrlDefault: https://search.proquest.com/eaasdb providerName: ProQuest – providerCode: PRVPQU databaseName: Engineering Database customDbUrl: eissn: 1476-4687 dateEnd: 20241207 omitProxy: false ssIdentifier: ssj0005174 issn: 0028-0836 databaseCode: M7S dateStart: 19880107 isFulltext: true titleUrlDefault: http://search.proquest.com providerName: ProQuest – providerCode: PRVPQU databaseName: Environmental Science Database customDbUrl: eissn: 1476-4687 dateEnd: 20241207 omitProxy: false ssIdentifier: ssj0005174 issn: 0028-0836 databaseCode: PATMY dateStart: 19880107 isFulltext: true titleUrlDefault: http://search.proquest.com/environmentalscience providerName: ProQuest – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 1476-4687 dateEnd: 20241207 omitProxy: false ssIdentifier: ssj0005174 issn: 0028-0836 databaseCode: 7X7 dateStart: 19880107 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: Materials Science Database customDbUrl: eissn: 1476-4687 dateEnd: 20241207 omitProxy: false ssIdentifier: ssj0005174 issn: 0028-0836 databaseCode: KB. dateStart: 19880107 isFulltext: true titleUrlDefault: http://search.proquest.com/materialsscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: Nursing & Allied Health Database customDbUrl: eissn: 1476-4687 dateEnd: 20241207 omitProxy: false ssIdentifier: ssj0005174 issn: 0028-0836 databaseCode: 7RV dateStart: 19880107 isFulltext: true titleUrlDefault: https://search.proquest.com/nahs providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1476-4687 dateEnd: 20241207 omitProxy: false ssIdentifier: ssj0005174 issn: 0028-0836 databaseCode: BENPR dateStart: 19880107 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Psychology Database (ProQuest) customDbUrl: eissn: 1476-4687 dateEnd: 20241207 omitProxy: false ssIdentifier: ssj0005174 issn: 0028-0836 databaseCode: M2M dateStart: 19880107 isFulltext: true titleUrlDefault: https://www.proquest.com/psychology providerName: ProQuest – providerCode: PRVPQU databaseName: Public Health Database (ProQuest) customDbUrl: eissn: 1476-4687 dateEnd: 20241207 omitProxy: false ssIdentifier: ssj0005174 issn: 0028-0836 databaseCode: 8C1 dateStart: 19880107 isFulltext: true titleUrlDefault: https://search.proquest.com/publichealth providerName: ProQuest – providerCode: PRVPQU databaseName: Research Library customDbUrl: eissn: 1476-4687 dateEnd: 20241207 omitProxy: false ssIdentifier: ssj0005174 issn: 0028-0836 databaseCode: M2O dateStart: 19880107 isFulltext: true titleUrlDefault: https://search.proquest.com/pqrl providerName: ProQuest – providerCode: PRVPQU databaseName: Science Database (ProQuest) customDbUrl: eissn: 1476-4687 dateEnd: 20241207 omitProxy: false ssIdentifier: ssj0005174 issn: 0028-0836 databaseCode: M2P dateStart: 19880107 isFulltext: true titleUrlDefault: https://search.proquest.com/sciencejournals providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwEB7RFiQuQMtroayMxAEEpklsx84F1JZWSGWXqJRq4RI5jiNVQtlSp_x-xo53V1DRC5dPivzIyGN7PJ7xDMALqYo0M0VNNR62KU9TS3VRp9T4dFcocM3wvuL0k5xO1WxWlPHCzUW3ysWeGDbqZm78HflOVqCs9dHx2Pvzn9RnjfLW1ZhCYw02fJQEFlz3ypWLx19RmOOjmYSpHYeCS3n3W05x0mO5-FMwXTltXrGUBgF0ePd_Sb8Hd-LRk-wOc2UTbthuC24FF1DjtmAzLnNHXsZY1K_uw7sPIY1PT3rsD4lyRHcNccOrK0dCol6v3pMWt05HzjoSDEEkGoIewNfDg5P9jzSmXKCGSdFTpZgVrCkkKlLStLWRmumiMYmVubRNhqNYc52kbY41uJEyR3mfKC6MqgutOHsI6928s4-B2DblmeX-wNPwuk4K1LWZUK2odW40UyNIF-NdmRiP3KfF-FEFuzhT1cCjCnlUBR5VYgSvl23Oh2gc19beXvCjiivTVStmjOD5shjXlDeU6M7OL30dgWpkLqQcwaOB_cvfMcUVqn3Y-s1iPqw6_zctT66n5SnczsJcZDTl27DeX1zaZ3DT_OrP3MUY1uTxqceZDKgQ1X46ho29g2l5jF9He28RJ8mRx2wS8HPAchzWRMAviKX4ju3K3ZPJt98PHAWM |
| linkProvider | ProQuest |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1R1NTxQx9AVRgxcUBF1ErYkmGmzYTjvb9qDGiATCujEGCbfa6XQSEjOLdND4p_yNvnZmdqNEbhw892M6fd99XwBPpdIsc7qgFpVtKhjz1OqCURfbXaHAdW1-xdFYTibq-Fh_XIBffS5MDKvseWJi1OXUxTfy7UyjrI3V8fib0280do2K3tW-hUaLFgf-5w802cKr_R2E77Ms231_-G6Pdl0FqOMyb6hS3Oe81BJtBemqwknLrS7d0MuR9GWGOkkh7JBVI5whnEQ7X6EWI3KnCm2V4LjvNbiOfJzFEDL56WgeUvJX1ecuSWfI1XZAQaliuK-gSGQ4nv8pCC9otxc8s0ng7d7-367qDix3qjV529LCCiz4ehVuphBXF1ZhpWNjgTzvam2_uAuvd1KbooY0eH68hEBsXZLQZpUFkhoRx-cLUqFoCOSkJsnRRTpH1xp8vpI_WofFelr7-0B8xUTmRVToSlEUQ61w81xVeWFHznI1ANbD17iu3nps-_HVJL8_V6bFCYM4YRJOmHwAW7M1p221kUtnb_bwNx3nCWYO_AE8mQ0jz4iOIFv76Xmck6OZPMqlHMC9Ft1mn-NKKDRrcfXLHv_mm__7LBuXn-UxLO0dfhib8f7k4AHcyhIdcMrEJiw2Z-f-Idxw35uTcPYoURSBL1eNl78BDDRTCQ |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1bTxQxFD5BvIQXFRRZRK2JJhppdmfabtsHNYZ1I4FseFDD29jpdBISM4t00PjX_HWcdjqLSuSNB597mU779Vx6bgDPpNJZbnVJDQrblGeZo0aXGbWh3BUyXNvFV3zel7OZOjzUB0vwq4-FCW6VPU2MhLqa2_BGPsw18tqQHY8N6-QWcTCZvj3-RkMFqWBp7ctpdBDZcz9_oPrmX-9O8Kyf5_n0_cedDzRVGKCWSdFSpZgTrNIS9QZp69JKw4yu7MjJsXRVjvJJyc0oq8fYg1uJOr9CiYYLq0ptFGc47zW4LhmiOESp7_zmXvJXBugUsDNiauiRaarg-sspXjhsF38yxQuS7gUrbWR-0zv_87bdhdtJ5CbvujuyCkuuWYOb0fXV-jVYTeTNkxcpB_fLe_BmEssXtaTF9eOGeGKaivgu2syTWKA4PGuQGlmGJ0cNiQYwkgxg9-HTlfzROiw388ZtAHF1xnPHg6BX8bIcaYWTC1WL0oytYWoAWX_WhU152EM5kK9F9AdgqujwUSA-ioiPQgzg1WLMcZeF5NLeWz0WikSRfHEOhAE8XTQjLQkGItO4-WnoI1B9HgspB_Cgg97ic0xxheoujt7usXg--b_Xsnn5Wp7ALYRjsb8723sIK3m8EoxmfAuW25NT9whu2O_tkT95HC8XgS9XDcszL5lbZA |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Drought+triggers+and+sustains+overnight+fires+in+North+America&rft.jtitle=Nature+%28London%29&rft.au=Luo%2C+Kaiwei&rft.au=Wang%2C+Xianli&rft.au=de+Jong%2C+Mark&rft.au=Flannigan%2C+Mike&rft.date=2024-03-14&rft.pub=Nature+Publishing+Group&rft.issn=0028-0836&rft.eissn=1476-4687&rft.volume=627&rft.issue=8003&rft.spage=321&rft.epage=327O&rft_id=info:doi/10.1038%2Fs41586-024-07028-5&rft.externalDBID=HAS_PDF_LINK |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0028-0836&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0028-0836&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0028-0836&client=summon |