{"id":"https://openalex.org/W2980726489","doi":"https://doi.org/10.3390/rs11202392","title":"Role of Surface Melt and Icing Events in Livestock Mortality across Mongolia\u2019s Semi-Arid Landscape","display_name":"Role of Surface Melt and Icing Events in Livestock Mortality across Mongolia\u2019s Semi-Arid Landscape","publication_year":2019,"publication_date":"2019-10-16","ids":{"openalex":"https://openalex.org/W2980726489","doi":"https://doi.org/10.3390/rs11202392","mag":"2980726489"},"language":"en","primary_location":{"id":"doi:10.3390/rs11202392","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11202392","pdf_url":"https://www.mdpi.com/2072-4292/11/20/2392/pdf?version=1571203224","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/11/20/2392/pdf?version=1571203224","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043307016","display_name":"Caleb G. Pan","orcid":"https://orcid.org/0000-0002-4510-2022"},"institutions":[{"id":"https://openalex.org/I6750721","display_name":"University of Montana","ror":"https://ror.org/0078xmk34","country_code":"US","type":"education","lineage":["https://openalex.org/I6750721"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Caleb G. Pan","raw_affiliation_strings":["Numerical Terradynamic Simulation Group, WA Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59812, USA"],"raw_orcid":"https://orcid.org/0000-0002-4510-2022","affiliations":[{"raw_affiliation_string":"Numerical Terradynamic Simulation Group, WA Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59812, USA","institution_ids":["https://openalex.org/I6750721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012801147","display_name":"John S. Kimball","orcid":"https://orcid.org/0000-0002-5493-5878"},"institutions":[{"id":"https://openalex.org/I6750721","display_name":"University of Montana","ror":"https://ror.org/0078xmk34","country_code":"US","type":"education","lineage":["https://openalex.org/I6750721"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John S. Kimball","raw_affiliation_strings":["Numerical Terradynamic Simulation Group, WA Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59812, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Numerical Terradynamic Simulation Group, WA Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59812, USA","institution_ids":["https://openalex.org/I6750721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048577337","display_name":"Munkhdavaa Munkhjargal","orcid":"https://orcid.org/0000-0001-8160-2182"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Munkhdavaa Munkhjargal","raw_affiliation_strings":["Department of Geography, Heidelberg University, Heidelberg 69120, Germany"],"raw_orcid":"https://orcid.org/0000-0001-8160-2182","affiliations":[{"raw_affiliation_string":"Department of Geography, Heidelberg University, Heidelberg 69120, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034919236","display_name":"Nathaniel Robinson","orcid":"https://orcid.org/0000-0002-8055-5270"},"institutions":[{"id":"https://openalex.org/I1338195976","display_name":"Panthera Corporation","ror":"https://ror.org/01h745q46","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1338195976"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathaniel P. Robinson","raw_affiliation_strings":["Panthera, New York City, NY 10018, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Panthera, New York City, NY 10018, USA","institution_ids":["https://openalex.org/I1338195976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041182330","display_name":"Erik Tijdeman","orcid":"https://orcid.org/0000-0001-6228-7391"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Erik Tijdeman","raw_affiliation_strings":["Department of Geography, Heidelberg University, Heidelberg 69120, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, Heidelberg University, Heidelberg 69120, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034472288","display_name":"Lucas Menzel","orcid":"https://orcid.org/0000-0002-2201-3406"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lucas Menzel","raw_affiliation_strings":["Department of Geography, Heidelberg University, Heidelberg 69120, Germany"],"raw_orcid":"https://orcid.org/0000-0002-2201-3406","affiliations":[{"raw_affiliation_string":"Department of Geography, Heidelberg University, Heidelberg 69120, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037478554","display_name":"P. B. Kirchner","orcid":"https://orcid.org/0000-0001-9770-5530"},"institutions":[{"id":"https://openalex.org/I1304808963","display_name":"National Park Service","ror":"https://ror.org/044zqqy65","country_code":"US","type":"government","lineage":["https://openalex.org/I1304808963","https://openalex.org/I1335927249"]},{"id":"https://openalex.org/I6750721","display_name":"University of Montana","ror":"https://ror.org/0078xmk34","country_code":"US","type":"education","lineage":["https://openalex.org/I6750721"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter B. Kirchner","raw_affiliation_strings":["Numerical Terradynamic Simulation Group, WA Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59812, USA","Southwest Alaska Network Inventory and Monitoring Program, National Park Service, Anchorage, AK 99501, USA"],"raw_orcid":"https://orcid.org/0000-0001-9770-5530","affiliations":[{"raw_affiliation_string":"Numerical Terradynamic Simulation Group, WA Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59812, USA","institution_ids":["https://openalex.org/I6750721"]},{"raw_affiliation_string":"Southwest Alaska Network Inventory and Monitoring Program, National Park Service, Anchorage, AK 99501, USA","institution_ids":["https://openalex.org/I1304808963"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043307016"],"corresponding_institution_ids":["https://openalex.org/I6750721"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.9172,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.927775,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"11","issue":"20","first_page":"2392","last_page":"2392"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12467","display_name":"Rangeland Management and Livestock Ecology","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12467","display_name":"Rangeland Management and Livestock Ecology","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11333","display_name":"Climate change and permafrost","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/snowmelt","display_name":"Snowmelt","score":0.6784856915473938},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6648501753807068},{"id":"https://openalex.org/keywords/livestock","display_name":"Livestock","score":0.6610116362571716},{"id":"https://openalex.org/keywords/arid","display_name":"Arid","score":0.5127404928207397},{"id":"https://openalex.org/keywords/snow","display_name":"Snow","score":0.4905804693698883},{"id":"https://openalex.org/keywords/pasture","display_name":"Pasture","score":0.4670711159706116},{"id":"https://openalex.org/keywords/icing","display_name":"Icing","score":0.46499553322792053},{"id":"https://openalex.org/keywords/physical-geography","display_name":"Physical geography","score":0.4329613149166107},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.4136418402194977},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3511559069156647},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.16809728741645813},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.11437833309173584},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10406714677810669},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.09346741437911987},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.0746634304523468}],"concepts":[{"id":"https://openalex.org/C64649846","wikidata":"https://www.wikidata.org/wiki/Q1754697","display_name":"Snowmelt","level":3,"score":0.6784856915473938},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6648501753807068},{"id":"https://openalex.org/C112964050","wikidata":"https://www.wikidata.org/wiki/Q103459","display_name":"Livestock","level":2,"score":0.6610116362571716},{"id":"https://openalex.org/C150772632","wikidata":"https://www.wikidata.org/wiki/Q1330709","display_name":"Arid","level":2,"score":0.5127404928207397},{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.4905804693698883},{"id":"https://openalex.org/C2778053677","wikidata":"https://www.wikidata.org/wiki/Q30121","display_name":"Pasture","level":2,"score":0.4670711159706116},{"id":"https://openalex.org/C2781439067","wikidata":"https://www.wikidata.org/wiki/Q5986479","display_name":"Icing","level":2,"score":0.46499553322792053},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.4329613149166107},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.4136418402194977},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3511559069156647},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.16809728741645813},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.11437833309173584},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10406714677810669},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.09346741437911987},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0746634304523468}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs11202392","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11202392","pdf_url":"https://www.mdpi.com/2072-4292/11/20/2392/pdf?version=1571203224","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4ba40b1da6b34a0090d28e5f5b630702","is_oa":true,"landing_page_url":"https://doaj.org/article/4ba40b1da6b34a0090d28e5f5b630702","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 11, Iss 20, p 2392 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/20/2392/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11202392","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs11202392","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11202392","pdf_url":"https://www.mdpi.com/2072-4292/11/20/2392/pdf?version=1571203224","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4652770775","display_name":"WE PROPOSE TO EXTEND AND ENHANCE AN EXISTING EARTH SYSTEM DATA RECORD (ESDR) QUANTIFYING DAILY LANDSCAPE FREEZE/THAW (FT) STATE DYNAMICS OVER ALL GLOBAL LAND AREAS WHERE SEASONAL FROZEN TEMPERATURES ARE A SIGNIFICANT CONSTRAINT TO TERRESTRIAL WATER  ENERGY AND CARBON CYCLE PROCESSES. THE FREEZE/THAW ESDR (FT-ESDR) CAPTURES DYNAMIC SPATIAL AND TEMPORAL TRENDS IN FROZEN TEMPERATURE CONSTRAINTS TO SURFACE WATER MOBILITY AND ECOSYSTEM PROCESSES IN RESPONSE TO RECENT CLIMATE CHANGE. FT-ESDR CONTINUITY AND ENHANCEMENTS WILL PROVIDE A CONTINUOUS GLOBAL DATA RECORD SPANNING MORE THAN 40 YEARS AND REPRESENTING ONE OF THE LONGEST SATELLITE ENVIRONMENTAL DATA RECORDS IN EXISTENCE  WHILE PROVIDING FINER RESOLUTION AND INCREASED SCIENCE UTILITY OVER THE CURRENT BASELINE. THE PROPOSED ACTIVITIES ARE THE LOGICAL EXTENSION OF AN EXPIRING MEASURES ACTIVITY (KIMBALL  PI)  AND BUILD ON A SUCCESSFUL FT-ESDR DEVELOPED FROM SIMILAR OVERLAPPING SATELLITE MICROWAVE BRIGHTNESS TEMPERATURE (TB) RECORDS FROM SMMR  SSMI  SSMIS  AMSR-E AND AMSR2 SENSORS. THE FT-ESDR PROVIDES CONSISTENT AND PRECISE (>80% MEAN SPATIAL CLASSIFICATION ACCURACY) DAILY (AM AND PM) CLASSIFICATION OF THE PREDOMINANT FROZEN AND NON-FROZEN STATUS OF THE LANDSCAPE FOR BOTH GLOBAL AND NORTHERN POLAR GRID DOMAINS  WITH RESPECTIVE 25-KM AND 6-KM GRIDDING  AND DETAILED METADATA DESCRIBING PRODUCT QUALITY. THE FT-ESDR HAS BENEFITTED FROM 4 MAJOR REPROCESSING EPOCHS INCORPORATING PRODUCT AND ALGORITHM REFINEMENTS  AND LESSONS LEARNED FROM EARLY ADOPTER AND SCIENCE APPLICATION USERS. PRODUCT SUCCESSES INCLUDE MORE THAN 120 PEER-REVIEWED SCIENTIFIC PUBLICATIONS INVOLVING THE DATA; INCORPORATION OF A FT-ESDR DERIVED CLIMATE INDICATOR FOR THE NATIONAL CLIMATE ASSESSMENT; AND INFORMING DEVELOPMENT OF AN OPERATIONAL FT PRODUCT FOR THE NASA SMAP MISSION. WE PROPOSE TO BUILD ON THIS SUCCESS BY EXTENDING THE DATA RECORD USING CONTINUING TB OBSERVATIONS FROM SSMI AND AMSR2  WHILE DOCUMENTING PRODUCT ACCURACY IN RELATION TO GLOBAL WEATHER STATION OBSERVATIONS  OTHER SATELLITE RECORDS  AND LAND SURFACE MODELS. WE WILL EVALUATE POTENTIAL FT-ESDR ENHANCEMENTS  INCLUDING PRODUCTION OF BOTH NORTHERN AND SOUTHERN POLAR GRID FT RECORDS DERIVED FROM AMSR-E AND AMSR2 THAT PROVIDE UP TO EIGHT-FOLD SPATIAL ENHANCEMENT OVER THE GLOBAL BASELINE. WE WILL INCORPORATE RECENT ALGORITHM ADVANCES USING MACHINE LEARNING  PHYSICS BASED INTERPOLATION  AND DATA FUSION TECHNIQUES FOR DERIVING CONTINUOUS PROBABILISTIC DAILY FT RETRIEVALS WITH ENHANCED RESOLUTION AND PERFORMANCE. WE WILL TEST A SIMILAR APPROACH COMBINING AMSR2 AND SMAP TB RECORDS FOR PROBABILISTIC CLASSIFICATION OF DAILY SURFACE SOIL FT DYNAMICS OVER THE NORTHERN POLAR (=45N) DOMAIN; WE WILL EXPLOIT AND DOCUMENT THE VALUE OF SMAP L-BAND TB OBSERVATIONS FOR DISTINGUISHING SOIL FT RELATIVE TO HIGHER FREQUENCY TB RETRIEVALS FROM AMSR2. THE FT-ESDR SERVES SEVERAL EARTH SCIENCE FOCUS AREAS AND USER COMMUNITIES  INCLUDING WATER&ENERGY CYCLE  CARBON CYCLE&ECOSYSTEMS  AND CLIMATE VARIABILITY&CHANGE. THE CURRENT FT-ESDR (V4) IS PUBLICLY AVAILABLE IN A VARIETY OF FORMATS; RECENT USER METRICS INDICATE MORE THAN 13 000 DISTINCT USERS AND 6.7M PRODUCTS DELIVERED  WHILE THE NUMBER OF USERS  APPLICATIONS AND PUBLICATIONS FROM THESE DATA CONTINUE TO GROW. THE PROPOSED FT-ESDR ACTIVITIES ARE RESPONSIVE TO THE EVOLVING NEEDS OF THE USER COMMUNITY AND WILL INCREASE PRODUCT SCIENCE VALUE AND APPLICATIONS. THE FT VARIABLE WAS SELECTED WITH SOIL MOISTURE AS ONE OF FOUR RECOMMENDED  HIGH PRIORITY OBSERVATIONS/MISSIONS FOR THE NEXT DECADE  TO BE IMPLEMENTED BY NASA AS DIRECTED BY THE NRC DECADAL SURVEY. THE PROPOSED ACTIVITIES WILL BENEFIT THE SMAP MISSION BY SUPPORTING ONGOING REFINEMENTS TO THE L3FT OPERATIONAL PRODUCT AND BY DOCUMENTING THE VALUE OF L-BAND TB RETRIEVALS FOR SOIL FT. THESE ACTIVITIES WILL PROVIDE A BENCHMARK FOR ASSESSING THE PERFORMANCE AND SIGNIFICANCE OF THE SMAP FT RECORD FOR MEETING MISSION OBJECTIVES.","funder_award_id":"80NSSC18K0980","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"}],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320312210","display_name":"Fulbright Association","ror":"https://ror.org/00300j256"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2980726489.pdf","grobid_xml":"https://content.openalex.org/works/W2980726489.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W1484353146","https://openalex.org/W1891153072","https://openalex.org/W1908004599","https://openalex.org/W1911295252","https://openalex.org/W1967812243","https://openalex.org/W1973656802","https://openalex.org/W1978899161","https://openalex.org/W1998115018","https://openalex.org/W1998546290","https://openalex.org/W2004007436","https://openalex.org/W2005664053","https://openalex.org/W2010785965","https://openalex.org/W2012887188","https://openalex.org/W2018764772","https://openalex.org/W2020514916","https://openalex.org/W2050167579","https://openalex.org/W2052112268","https://openalex.org/W2058955262","https://openalex.org/W2064495430","https://openalex.org/W2065755177","https://openalex.org/W2067185655","https://openalex.org/W2071179593","https://openalex.org/W2073614654","https://openalex.org/W2079078125","https://openalex.org/W2080868661","https://openalex.org/W2091287180","https://openalex.org/W2096907779","https://openalex.org/W2104637667","https://openalex.org/W2114130687","https://openalex.org/W2121728973","https://openalex.org/W2125172559","https://openalex.org/W2126603215","https://openalex.org/W2128684986","https://openalex.org/W2134492145","https://openalex.org/W2137355945","https://openalex.org/W2139845314","https://openalex.org/W2148401988","https://openalex.org/W2151099734","https://openalex.org/W2161632000","https://openalex.org/W2162537724","https://openalex.org/W2163545151","https://openalex.org/W2175776574","https://openalex.org/W2182934015","https://openalex.org/W2272473773","https://openalex.org/W2287049325","https://openalex.org/W2434137505","https://openalex.org/W2462177430","https://openalex.org/W2552327705","https://openalex.org/W2572384894","https://openalex.org/W2581800973","https://openalex.org/W2625005703","https://openalex.org/W2673517112","https://openalex.org/W2725454401","https://openalex.org/W2748689738","https://openalex.org/W2749555407","https://openalex.org/W2765157143","https://openalex.org/W2784332724","https://openalex.org/W2788736944","https://openalex.org/W2802394216","https://openalex.org/W2805943708","https://openalex.org/W2811157743","https://openalex.org/W2892716631","https://openalex.org/W2899356106","https://openalex.org/W2909377668","https://openalex.org/W6676815235","https://openalex.org/W6686146043","https://openalex.org/W6744914184"],"related_works":["https://openalex.org/W277764685","https://openalex.org/W2361469493","https://openalex.org/W2371515881","https://openalex.org/W2996972709","https://openalex.org/W2035672394","https://openalex.org/W786988240","https://openalex.org/W294487563","https://openalex.org/W1550223836","https://openalex.org/W147539271","https://openalex.org/W2171554114"],"abstract_inverted_index":{"Livestock":[0],"production":[1],"is":[2,9],"a":[3,128],"socioeconomic":[4],"linchpin":[5],"in":[6,143,150,170,230],"Mongolia":[7,42,107,145],"and":[8,36,64,85,103,110,124,134,137,146,153,161,209,223],"affected":[10],"by":[11,23],"large-scale":[12],"livestock":[13,138,172,224],"die-offs.":[14],"Colloquially":[15],"known":[16],"as":[17,79,177,220],"dzuds,":[18],"these":[19],"die-offs":[20],"are":[21,226],"driven":[22],"anomalous":[24,100,157],"climatic":[25,118],"events,":[26],"including":[27,59,120],"extreme":[28],"cold":[29,55,175],"temperatures,":[30,122],"extended":[31],"snow":[32],"cover":[33],"duration":[34],"(SCD)":[35],"drought.":[37,125],"As":[38],"average":[39],"temperatures":[40,176,222],"across":[41,106],"have":[43,71],"increased":[44],"at":[45],"roughly":[46],"twice":[47],"the":[48,141,148,151,167,178,187],"global":[49],"rate,":[50],"we":[51,91],"hypothesized":[52],"that":[53,206],"increasing":[54],"season":[56],"surface":[57,101,132,159,207],"melt":[58,102,133,160,208],"soil":[60],"freeze/thaw":[61],"(FT),":[62],"snowmelt,":[63],"icing":[65,104,135,162,210],"events":[66,78,105,136,163,211],"associated":[67],"with":[68,174],"regional":[69],"warming":[70],"become":[72,213],"increasingly":[73,215],"important":[74,216],"drivers":[75],"of":[76,166,181,218],"dzud":[77],"they":[80],"can":[81],"reduce":[82],"pasture":[83],"productivity":[84],"inhibit":[86],"access":[87],"to":[88,98,113,116,200,228],"grazing.":[89],"Here,":[90],"use":[92],"daily":[93],"brightness":[94],"temperature":[95],"(Tb)":[96],"observations":[97],"identify":[99],"from":[108],"2003\u20132016":[109],"their":[111],"contribution":[112],"dzuds":[114,182,219],"relative":[115,199],"other":[117],"drivers,":[119],"winter":[121,201],"SCD,":[123],"We":[126],"find":[127],"positive":[129],"relationship":[130],"between":[131],"mortality":[139],"during":[140,147],"fall":[142],"southern":[144],"spring":[149],"central":[152],"western":[154],"regions.":[155],"Further,":[156],"seasonal":[158],"explain":[164],"17\u201334%":[165],"total":[168],"variance":[169],"annual":[171,221],"mortality,":[173],"leading":[179],"contributor":[180],"(20\u201337%).":[183],"Summer":[184],"drought":[185],"showed":[186],"greatest":[188],"explanatory":[189],"power":[190],"(43%)":[191],"but":[192],"overall":[193],"had":[194],"less":[195],"statistically":[196],"significant":[197],"relationships":[198],"temperatures.":[202],"Our":[203],"results":[204],"indicate":[205],"will":[212],"an":[214],"driver":[217],"populations":[225],"projected":[227],"increase":[229],"Mongolia.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}