{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:29:59Z","timestamp":1760149799650,"version":"build-2065373602"},"reference-count":71,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2023,9,20]],"date-time":"2023-09-20T00:00:00Z","timestamp":1695168000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Tianshan Yingcai Program of the Xinjiang Uygur Autonomous Region","award":["2022TSYCCX0038","131965KYSB20210045"],"award-info":[{"award-number":["2022TSYCCX0038","131965KYSB20210045"]}]},{"name":"International Cooperation Program of the Chinese Academy of Sciences","award":["2022TSYCCX0038","131965KYSB20210045"],"award-info":[{"award-number":["2022TSYCCX0038","131965KYSB20210045"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Climate change has significantly influenced water resource patterns in arid regions. Applying effective water-saving measures to improve irrigation efficiency and evaluate their future water-saving capabilities is crucial for ensuring the sustainable development of irrigation agriculture. Based on the daily meteorological data from 15 global climate models (GCMs) in the sixth phase of the Coupled Model Intercomparison Project (CMIP6), this study used the AquaCrop model to perform high-resolution (0.1\u00b0 \u00d7 0.1\u00b0) grid simulations of cotton yields and irrigation requirements. The study also investigated the ability of film-mulched drip irrigation (FMDI) to improve future irrigation efficiency under two shared socio-economic pathways (SSP245 and SSP585) in the Tarim River Basin (TRB), Central Asia, from 2025 to 2100. The results showed that the cotton yield and irrigation water productivity (WPI) in the TRB exhibited an upward trend of 13.82 kg\/ha\/decade (80.68 kg\/ha\/decade) and 0.015 kg\/m3\/decade (0.068 kg\/m3\/decade), respectively, during the study period. The cotton yield and WPI were higher in the northern, northwestern plains, and northeastern intermountain basin areas, where they reach over 4000 kg\/ha and 0.8 kg\/m3\/decade. However, the cotton yield and WPI were lower in the southwestern part of the study area. Therefore, large-scale cotton production was not recommended there. Furthermore, compared to flood irrigation, the use of FMDI can, on average, improve the WPI by approx. 25% and reduce irrigation water requirements by more than 550 m3\/ha. Therefore, using FMDI can save a substantial amount of irrigation water in cotton production, which is beneficial for improving irrigation efficiency and ensuring the future stable production of cotton in the TRB. The research results provide a scientific reference for the efficient utilization and management of water resources for cotton production in the TRB and in similar arid regions elsewhere in the world.<\/jats:p>","DOI":"10.3390\/rs15184615","type":"journal-article","created":{"date-parts":[[2023,9,20]],"date-time":"2023-09-20T21:47:03Z","timestamp":1695246423000},"page":"4615","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Using Film-Mulched Drip Irrigation to Improve the Irrigation Water Productivity of Cotton in the Tarim River Basin, Central Asia"],"prefix":"10.3390","volume":"15","author":[{"given":"Jianyu","family":"Zhu","sequence":"first","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaning","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhi","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1503-8066","authenticated-orcid":false,"given":"Weili","family":"Duan","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1320-1835","authenticated-orcid":false,"given":"Gonghuan","family":"Fang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6043-3463","authenticated-orcid":false,"given":"Chuan","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4307-7289","authenticated-orcid":false,"given":"Ganchang","family":"He","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Wei","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,20]]},"reference":[{"key":"ref_1","unstructured":"IPCC (2021). Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"873","DOI":"10.1038\/s43016-021-00400-y","article-title":"Climate impacts on global agriculture emerge earlier in new generation of climate and crop models","volume":"2","author":"Ruane","year":"2021","journal-title":"Nat. Food"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"699","DOI":"10.1038\/s41558-018-0230-x","article-title":"Risk of increased food insecurity under stringent global climate change mitigation policy","volume":"8","author":"Hasegawa","year":"2018","journal-title":"Nat. Clim. Chang."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"891","DOI":"10.1007\/s11430-018-9317-8","article-title":"Impact of oceans on climate change in drylands","volume":"62","author":"Guan","year":"2019","journal-title":"Sci. China Earth Sci."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1038\/s43017-021-00144-0","article-title":"Multifaceted characteristics of dryland aridity changes in a warming world","volume":"2","author":"Lian","year":"2021","journal-title":"Nat. Rev. Earth Environ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"e1600871","DOI":"10.1126\/sciadv.1600871","article-title":"Human-induced changes in the distribution of rainfall","volume":"3","author":"Putnam","year":"2017","journal-title":"Sci. Adv."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"926","DOI":"10.1038\/s41561-018-0265-7","article-title":"Recent global decline in endorheic basin water storages","volume":"11","author":"Wang","year":"2018","journal-title":"Nat. Geosci."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1038\/s41558-020-0746-8","article-title":"Agricultural risks from changing snowmelt","volume":"10","author":"Qin","year":"2020","journal-title":"Nat. Clim. Chang."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"103957","DOI":"10.1016\/j.earscirev.2022.103957","article-title":"Recent climate and hydrological changes in a mountain\u2013basin system in Xinjiang, China","volume":"226","author":"Yao","year":"2022","journal-title":"Earth Sci. Rev."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Koudahe, K., Sheshukov, A.Y., Aguilar, J., and Djaman, K. (2021). Irrigation-Water Management and Productivity of Cotton: A Review. Sustainability, 13.","DOI":"10.3390\/su131810070"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"e2022EF002955","DOI":"10.1029\/2022EF002955","article-title":"Critical Role of Irrigation Efficiency for Cropland Expansion in Western China Arid Agroecosystems","volume":"10","author":"Fu","year":"2022","journal-title":"Earth\u2019s Future"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"158449","DOI":"10.1016\/j.scitotenv.2022.158449","article-title":"Closing the irrigation water productivity gap to alleviate water shortage in an endorheic basin","volume":"853","author":"Zou","year":"2022","journal-title":"Sci. Total Environ."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"106534","DOI":"10.1016\/j.agwat.2020.106534","article-title":"Drip fertigation significantly increased crop yield, water productivity and nitrogen use efficiency with respect to traditional irrigation and fertilization practices: A meta-analysis in China","volume":"244","author":"Li","year":"2021","journal-title":"Agric. Water Manag."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"106626","DOI":"10.1016\/j.agwat.2020.106626","article-title":"Modeling the combined impacts of deficit irrigation, rising temperature and compost application on wheat yield and water productivity","volume":"244","author":"Ding","year":"2021","journal-title":"Agric. Water Manag."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1016\/j.agwat.2019.02.016","article-title":"Comparison of maize water consumption at different scales between mulched and non-mulched croplands","volume":"216","author":"Feng","year":"2019","journal-title":"Agric. Water Manag."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"107027","DOI":"10.1016\/j.agwat.2021.107027","article-title":"Water productivity and seed cotton yield in response to deficit irrigation: A global meta-analysis","volume":"255","author":"Cheng","year":"2021","journal-title":"Agric. Water Manag."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"106473","DOI":"10.1016\/j.agwat.2020.106473","article-title":"Evapotranspiration partitioning and water productivity of rainfed maize under contrasting mulching conditions in Northwest China","volume":"243","author":"Zheng","year":"2021","journal-title":"Agric. Water Manag."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.still.2017.01.001","article-title":"Recent advances in mulching materials and methods for modifying soil environment","volume":"168","author":"Kader","year":"2017","journal-title":"Soil Tillage Res."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.fcr.2018.01.036","article-title":"Alternating small and large ridges with full film mulching increase linseed (Linum usitatissimum L.) productivity and economic benefit in a rainfed semiarid environment","volume":"219","author":"Mo","year":"2018","journal-title":"Field Crops Res."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.fcr.2009.04.005","article-title":"How two ridges and the furrow mulched with plastic film affect soil water, soil temperature and yield of maize on the semiarid Loess Plateau of China","volume":"113","author":"Zhou","year":"2009","journal-title":"Field Crops Res."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/j.fcr.2018.06.010","article-title":"Effects of sub-soil plastic film mulch on soil water and salt content and water utilization by winter wheat under different soil salinities","volume":"225","author":"Zhang","year":"2018","journal-title":"Field Crops Res."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"115969","DOI":"10.1016\/j.geoderma.2022.115969","article-title":"Evaluating soil salts dynamics under biodegradable film mulching with different disintegration rates in an arid region with shallow and saline groundwater: Experimental and modeling study","volume":"423","author":"Chen","year":"2022","journal-title":"Geoderma"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.agwat.2017.11.001","article-title":"Performance of AquaCrop model for cotton growth simulation under film-mulched drip irrigation in southern Xinjiang, China","volume":"196","author":"Tan","year":"2018","journal-title":"Agric. Water Manag."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.still.2014.05.003","article-title":"DSSAT modelling of conservation agriculture maize response to climate change in Malawi","volume":"143","author":"Ngwira","year":"2014","journal-title":"Soil Tillage Res."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"862","DOI":"10.1038\/s43016-022-00613-9","article-title":"Increasing dominance of Indian Ocean variability impacts Australian wheat yields","volume":"3","author":"Feng","year":"2022","journal-title":"Nat. Food"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"438","DOI":"10.2134\/agronj2008.0140s","article-title":"AquaCrop\u2014The FAO Crop Model to Simulate Yield Response to Water: II. Main Algorithms and Software Description","volume":"101","author":"Raes","year":"2009","journal-title":"Agron. J."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1130","DOI":"10.1038\/nclimate3115","article-title":"Similar estimates of temperature impacts on global wheat yield by three independent methods","volume":"6","author":"Liu","year":"2016","journal-title":"Nat. Clim. Chang."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"9326","DOI":"10.1073\/pnas.1701762114","article-title":"Temperature increase reduces global yields of major crops in four independent estimates","volume":"114","author":"Zhao","year":"2017","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"7662","DOI":"10.1073\/pnas.1424487112","article-title":"Late Oligocene-early Miocene birth of the Taklimakan Desert","volume":"112","author":"Zheng","year":"2015","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"e2021EF002500","DOI":"10.1029\/2021EF002500","article-title":"Evaluation of the CMIP6 Precipitation Simulations Over Global Land","volume":"10","author":"Li","year":"2022","journal-title":"Earth\u2019s Future"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"3055","DOI":"10.5194\/gmd-12-3055-2019","article-title":"Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0)","volume":"12","author":"Lange","year":"2019","journal-title":"Geosci. Model Dev."},{"key":"ref_32","unstructured":"Allen, R.G., Pereira, L.S., Raes, D., and Smith, M. (2020, September 10). Crop Evapotranspiration\u2014Guidelines for Computing Crop Water Requirements\u2014FAO Irrigation and Drainage Paper 56. Available online: https:\/\/www.fao.org\/3\/X0490E\/X0490E00.htm."},{"key":"ref_33","unstructured":"FAO, IIASA, ISRIC, ISSCAS, and JRC (2020, September 10). Harmonized World Soil Database (Version 1.2). Available online: http:\/\/webarchive.iiasa.ac.at\/Research\/LUC\/External-World-soil-database\/HTML\/."},{"key":"ref_34","unstructured":"Committee, X.S.Y. (2020, September 10). Xinjiang Statistical Yearbook, Available online: https:\/\/tjj.xinjiang.gov.cn\/tjj\/zhhvgh\/list_nj1.shtml."},{"key":"ref_35","unstructured":"Xu, X., Liu, J., Zhang, S., Li, R., Yan, C., and Wu, S. (2018). Resource and Environmental Science Data Registration and Publication System, Resource and Environment Science and Data Center."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"109164","DOI":"10.1016\/j.agrformet.2022.109164","article-title":"Vulnerability of crop water footprint in rain-fed and irrigation agricultural production system under future climate scenarios","volume":"326","author":"Jiang","year":"2022","journal-title":"Agric. For. Meteorol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.agwat.2013.12.012","article-title":"Evaluation of the FAO AquaCrop model for winter wheat on the North China Plain under deficit irrigation from field experiment to regional yield simulation","volume":"135","author":"Iqbal","year":"2014","journal-title":"Agric. Water Manag."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.agwat.2014.07.028","article-title":"Prediction of climate change impacts on cotton yields in Greece under eight climatic models using the AquaCrop crop simulation model and discriminant function analysis","volume":"147","author":"Voloudakis","year":"2015","journal-title":"Agric. Water Manag."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"106976","DOI":"10.1016\/j.agwat.2021.106976","article-title":"AquaCrop-OSPy: Bridging the gap between research and practice in crop-water modeling","volume":"254","author":"Kelly","year":"2021","journal-title":"Agric. Water Manag."},{"key":"ref_40","unstructured":"Dirk, R., Steduto, P., Hsiao, T.C., and Fereres, A.E. (2020, September 10). FAO Crop-Water Productivity Model to Simulate Yield Response to Water. Available online: https:\/\/www.fao.org\/aquacrop\/resources\/referencemanuals\/en\/."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.agwat.2012.10.004","article-title":"Effect of plastic sheet mulch, wheat straw mulch, and maize growth on water loss by evaporation in dryland areas of China","volume":"116","author":"Li","year":"2013","journal-title":"Agric. Water Manag."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1420","DOI":"10.1002\/agj2.20588","article-title":"Calibrating AquaCrop model using genetic algorithm with multi-objective functions applying different weight factors","volume":"113","author":"Guo","year":"2021","journal-title":"Agron. J."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1080\/19475683.2018.1534890","article-title":"Spatial prediction based on Third Law of Geography","volume":"24","author":"Zhu","year":"2018","journal-title":"Ann. GIS"},{"key":"ref_44","first-page":"673","article-title":"Geographic Similarity: Third Law of Geography?","volume":"22","author":"Zhu","year":"2020","journal-title":"J. Geo-Inf. Sci."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"107007","DOI":"10.1016\/j.agwat.2021.107007","article-title":"Improving estimation of in-season crop water use and health of wheat genotypes on sodic soils using spatial interpolation techniques and multi-component metrics","volume":"255","author":"Choudhury","year":"2021","journal-title":"Agric. Water Manag."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1007\/s11119-013-9316-7","article-title":"Assessment and visualization of spatial interpolation of soil pH values in farmland","volume":"14","author":"Wu","year":"2013","journal-title":"Precis. Agric."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"536","DOI":"10.1016\/j.biosystemseng.2009.05.002","article-title":"Assessing economic impacts of deficit irrigation as related to water productivity and water costs","volume":"103","author":"Rodrigues","year":"2009","journal-title":"Biosyst. Eng."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.agwat.2011.08.022","article-title":"Improved indicators of water use performance and productivity for sustainable water conservation and saving","volume":"108","author":"Pereira","year":"2012","journal-title":"Agric. Water Manag."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"106074","DOI":"10.1016\/j.agwat.2020.106074","article-title":"Water use indicators and economic analysis for on-farm irrigation decision: A case study of a super high density olive tree orchard","volume":"237","author":"Alcon","year":"2020","journal-title":"Agric. Water Manag."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1080\/01621459.1951.10500769","article-title":"The kolmogorov-smirnov test for goodness of fit","volume":"46","author":"Massey","year":"1951","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"759","DOI":"10.1016\/j.atmosres.2009.03.005","article-title":"Is daily precipitation Gamma-distributed?","volume":"93","author":"Huth","year":"2009","journal-title":"Atmos. Res."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"3121","DOI":"10.1002\/hyp.8031","article-title":"Hydrological extremes in the Poyang Lake basin, China: Changing properties, causes and impacts","volume":"25","author":"Zhang","year":"2011","journal-title":"Hydrol. Process."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1080\/01621459.1952.10501182","article-title":"Numerical Tabulation of the Distribution of Kolmogorov\u2019s Statistic for Finite Sample Size","volume":"47","author":"Birnbaum","year":"1952","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1080\/01621459.1967.10482916","article-title":"On kolmogorov-smirnov test for normality with mean and variance unknown","volume":"62","author":"Lilliefors","year":"1967","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"111181","DOI":"10.1016\/j.rse.2019.04.034","article-title":"Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm","volume":"232","author":"Zhao","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v023.i03","article-title":"bcp: An R package for performing a Bayesian analysis of change point problems","volume":"23","author":"Erdman","year":"2007","journal-title":"J. Stat. Softw."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1007\/s10640-020-00525-x","article-title":"Weather Fluctuations, Expectation Formation, and Short-Run Behavioral Responses to Climate Change","volume":"78","author":"Ji","year":"2020","journal-title":"Environ. Resour. Econ."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"15597","DOI":"10.1007\/s11356-018-1552-y","article-title":"Comparing ordinary kriging and inverse distance weighting for soil as pollution in Beijing","volume":"25","author":"Qiao","year":"2018","journal-title":"Env. Sci. Pollut. Res. Int."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1080\/15230406.2013.762138","article-title":"Assessment of regression kriging for spatial interpolation\u2014Comparisons of seven GIS interpolation methods","volume":"40","author":"Meng","year":"2013","journal-title":"Cartogr. Geogr. Inf. Sci."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1016\/j.ejrh.2018.02.002","article-title":"Spatial interpolation of climate variables in Northern Germany\u2014Influence of temporal resolution and network density","volume":"15","author":"Berndt","year":"2018","journal-title":"J. Hydrol. Reg. Stud."},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Sekuli\u0107, A., Kilibarda, M., Heuvelink, G.B.M., Nikoli\u0107, M., and Bajat, B. (2020). Random Forest Spatial Interpolation. Remote Sens., 12.","DOI":"10.3390\/rs12101687"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"1233","DOI":"10.1111\/pce.13206","article-title":"New insights into the cellular mechanisms of plant growth at elevated atmospheric carbon dioxide concentrations","volume":"41","author":"Gamage","year":"2018","journal-title":"Plant Cell Env."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"107899","DOI":"10.1016\/j.agrformet.2020.107899","article-title":"Fluctuations of CO2 in Free-Air CO2 Enrichment (FACE) depress plant photosynthesis, growth, and yield","volume":"284","author":"Allen","year":"2020","journal-title":"Agric. For. Meteorol."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"519","DOI":"10.1146\/annurev-earth-071719-055228","article-title":"Climate Extremes and Compound Hazards in a Warming World","volume":"48","author":"AghaKouchak","year":"2020","journal-title":"Annu. Rev. Earth Planet. Sci."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1038\/s43016-021-00335-4","article-title":"Extreme climate events increase risk of global food insecurity and adaptation needs","volume":"2","author":"Hasegawa","year":"2021","journal-title":"Nat. Food"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"159","DOI":"10.4296\/cwrj3602853","article-title":"Crop Yield and Water Requirement Relationships for Major Irrigated Crops in Southern Alberta","volume":"36","author":"Bennett","year":"2011","journal-title":"Can. Water Resour. J."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1002\/met.1607","article-title":"Crop evapotranspiration assessment under climate change in the Pannonian basin during 1991\u20132050","volume":"24","author":"Nistor","year":"2017","journal-title":"Meteorol. Appl."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"3870","DOI":"10.1111\/gcb.15649","article-title":"Large potential for crop production adaptation depends on available future varieties","volume":"27","author":"Zabel","year":"2021","journal-title":"Glob. Chang. Biol."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.agrformet.2014.09.011","article-title":"Impacts of recent climate warming, cultivar changes, and crop management on winter wheat phenology across the Loess Plateau of China","volume":"200","author":"He","year":"2015","journal-title":"Agric. For. Meteorol."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"7079","DOI":"10.1038\/s41467-022-34411-5","article-title":"Global crop yields can be lifted by timely adaptation of growing periods to climate change","volume":"13","author":"Minoli","year":"2022","journal-title":"Nat. Commun."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1016\/j.agwat.2017.10.025","article-title":"Effects of different mulching technologies on evapotranspiration and summer maize growth","volume":"201","author":"Li","year":"2018","journal-title":"Agric. 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