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However, to date, few scholars have attempted the systematic quantification of the temporal effects of drought on global vegetation across various vegetation types and diverse climate zones. Addressing this gap, we quantitatively investigated the effects of drought on global vegetation growth under various scenarios, considering lagged and cumulative effects as well as combined effects in the 1982\u20132018 period. Our investigation was based on long-term net primary productivity (NPP) and two multiple-timescale drought indices: the standardised precipitation index (SPI) and the standardised precipitation and evapotranspiration index (SPEI). Our main findings were the following: (1) SPI and SPEI exhibited lagged effects on 52.08% and 37.05% of global vegetation, leading to average time lags of 2.48 months and 1.76 months, respectively. The cumulative effects of SPI and SPEI were observed in 80.01% and 72.16% of global vegetated areas, respectively, being associated with relatively longer cumulative timescales of 5.60 months and 5.16 months, respectively. (2) Compared to the scenario excluding temporal effects, there were increases in the explanatory powers of SPI and SPEI for variations in vegetation NPP based on the lagged, cumulative, and combined effects of drought: SPI increased by 0.82%, 6.65%, and 6.92%, respectively, whereas SPEI increased by 0.67%, 5.73%, and 6.07%, respectively. The cumulative effects of drought on global vegetation NPP were stronger than the lagged effects in approximately two-thirds (64.95% and 63.52% for SPI and SPEI, respectively) of global vegetated areas. (3) The effects of drought on vegetation NPP varied according to climate zones and vegetation types. Interestingly, vegetation in arid zones was the most sensitive and resilient to drought, as indicated by its rapid response to drought and the longest cumulative timescales. The vegetation NPP in tropical and temperate zones exhibited a relatively stronger response to drought than that in cold and polar zones. The strongest correlation of vegetation NPP with drought occurred in shrubland areas, followed by grassland, cropland, forest, and tundra areas. Moreover, for each vegetation type, the correlations between vegetation NPP and drought differed significantly among most climate zones. (4) The vegetation NPP in warming-induced drought regions displayed a higher correlation to drought than that in non-warming-induced drought regions, with shorter lagged and longer cumulative timescales. Our findings highlight the heterogeneity of the lagged, cumulative, and combined effects of drought across various climate zones and vegetation types; this could enhance our understanding of the coupling relationship between drought and global vegetation.<\/jats:p>","DOI":"10.3390\/rs16203787","type":"journal-article","created":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T07:47:05Z","timestamp":1728892025000},"page":"3787","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Detecting Drought-Related Temporal Effects on Global Net Primary Productivity"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0648-286X","authenticated-orcid":false,"given":"Min","family":"Luo","sequence":"first","affiliation":[{"name":"College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China"},{"name":"Inner Mongolia Key Laboratory of Remote Sensing and Geographic Information Systems, Inner Mongolia Normal University, Hohhot 010022, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0450-0542","authenticated-orcid":false,"given":"Fanhao","family":"Meng","sequence":"additional","affiliation":[{"name":"College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China"},{"name":"Inner Mongolia Key Laboratory of Remote Sensing and Geographic Information Systems, Inner Mongolia Normal University, Hohhot 010022, China"}]},{"given":"Chula","family":"Sa","sequence":"additional","affiliation":[{"name":"College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China"},{"name":"Inner Mongolia Key Laboratory of Remote Sensing and Geographic Information Systems, Inner Mongolia Normal University, Hohhot 010022, China"}]},{"given":"Yuhai","family":"Bao","sequence":"additional","affiliation":[{"name":"College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China"},{"name":"Inner Mongolia Key Laboratory of Remote Sensing and Geographic Information Systems, Inner Mongolia Normal University, Hohhot 010022, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6879-4818","authenticated-orcid":false,"given":"Tie","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8902-3855","authenticated-orcid":false,"given":"Philippe","family":"De Maeyer","sequence":"additional","affiliation":[{"name":"Department of Geography, Ghent University, 9000 Ghent, Belgium"},{"name":"Sino-Belgian Joint Laboratory of Geo-Information, 9000 Ghent, Belgium"}]}],"member":"1968","published-online":{"date-parts":[[2024,10,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1007\/s40641-018-0098-x","article-title":"Climate change and drought: A perspective on drought indices","volume":"4","author":"Mukherjee","year":"2018","journal-title":"Curr. Clim. Chang. Rep."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1073\/pnas.1207068110","article-title":"Response of vegetation to drought time-scales across global land biomes","volume":"110","author":"Gouveia","year":"2013","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"109409","DOI":"10.1016\/j.ecolind.2022.109409","article-title":"Drought-related cumulative and time-lag effects on vegetation dynamics across the Yellow River Basin, China","volume":"143","author":"Zhan","year":"2022","journal-title":"Ecol. Indic."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Whipple, A.V., Cobb, N.S., Gehring, C.A., Mopper, S., Flores-Renter\u00eda, L., and Whitham, T.G. (2019). Long-term studies reveal differential responses to climate change for trees under soil- or herbivore-related stress. Front. Plant Sci., 10.","DOI":"10.3389\/fpls.2019.00132"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"143599","DOI":"10.1016\/j.scitotenv.2020.143599","article-title":"Physiological and environmental control on ecosystem water use efficiency in response to drought across the northern hemisphere","volume":"758","author":"Zhao","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Qi, S., Zhang, H., and Zhang, M. (2023). Net Primary Productivity Estimation of Terrestrial Ecosystems in China with Regard to Saturation Effects and Its Spatiotemporal Evolutionary Impact Factors. Remote Sens., 15.","DOI":"10.3390\/rs15112871"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"108646","DOI":"10.1016\/j.ecolind.2022.108646","article-title":"Global assessment of lagged and cumulative effects of drought on grassland gross primary production","volume":"136","author":"Wei","year":"2022","journal-title":"Ecol. Indic."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"e2022EF002681","DOI":"10.1029\/2022EF002681","article-title":"Projected increases in global terrestrial net primary productivity loss caused by drought under climate change","volume":"10","author":"Cao","year":"2022","journal-title":"Earth\u2019s Future"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"940","DOI":"10.1126\/science.1192666","article-title":"Drought-induced reduction in global terrestrial net primary production from 2000 through 2009","volume":"329","author":"Zhao","year":"2010","journal-title":"Science"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"130455","DOI":"10.1016\/j.jhydrol.2023.130455","article-title":"Evaluating the cumulative and time-lag effects of vegetation response to drought in Central Asia under changing environments","volume":"627","author":"Xu","year":"2023","journal-title":"J. Hydrol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1513","DOI":"10.1175\/JHM-D-19-0290.1","article-title":"Elucidating Diverse Drought Characteristics from Two Meteorological Drought Indices (SPI and SPEI) in China","volume":"21","author":"Li","year":"2020","journal-title":"J. Hydrometeorol."},{"key":"ref_12","unstructured":"McKee, T.B. (1995, January 15\u201320). Drought monitoring with multiple time scales. Proceedings of the 9th Conference on Applied Climatology, Dallas, TX, USA."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1696","DOI":"10.1175\/2009JCLI2909.1","article-title":"A multiscalar drought index sensitive to global warming: The standardized precipitation evapotranspiration index","volume":"23","year":"2010","journal-title":"J. Clim."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1165","DOI":"10.1016\/j.jhydrol.2018.07.081","article-title":"Space-time characterization of drought events and their impacts on vegetation in Central Asia","volume":"564","author":"Guo","year":"2018","journal-title":"J. Hydrol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1016\/j.jhydrol.2010.07.012","article-title":"A review of drought concepts","volume":"391","author":"Mishra","year":"2010","journal-title":"J. Hydrol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1016\/j.jhydrol.2019.06.032","article-title":"Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridised with simulated annealing and kernel ridge regression algorithms","volume":"576","author":"Ali","year":"2019","journal-title":"J. Hydrol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1038\/ngeo2247","article-title":"Global assessment of trends in wetting and drying over land","volume":"7","author":"Greve","year":"2014","journal-title":"Nat. Geosci."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Liu, C., Yang, C., Yang, Q., and Wang, J. (2021). Spatiotemporal drought analysis by the standardized precipitation index (SPI) and standardized precipitation evapotranspiration index (SPEI) in Sichuan Province, China. Sci. Rep., 11.","DOI":"10.1038\/s41598-020-80527-3"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"772","DOI":"10.1038\/s41558-021-01112-8","article-title":"Increasing impact of warm droughts on northern ecosystem productivity over recent decades","volume":"11","author":"Gampe","year":"2021","journal-title":"Nat. Clim. Chang."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Li, D., An, L., Zhong, S., Shen, L., and Wu, S. (2024). Declining coupling between vegetation and drought over the past three decades. Glob. Chang. Biol., 30.","DOI":"10.1111\/gcb.17141"},{"key":"ref_21","first-page":"e02311","article-title":"Anomalies in precipitation rather than temperature as the dominant driver of drought stress on vegetation in the Northern Hemisphere","volume":"40","author":"Chen","year":"2022","journal-title":"Glob. Ecol. Conserv."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"e01834","DOI":"10.1002\/eap.1834","article-title":"Assessing regional drought impacts on vegetation and evapotranspiration: A case study in Guanacaste, Costa Rica","volume":"29","author":"Cooley","year":"2019","journal-title":"Ecol. Appl."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"118734","DOI":"10.1016\/j.jenvman.2023.118734","article-title":"Cumulative effects of drought have an impact on net primary productivity stability in Central Asian grasslands","volume":"344","author":"Liu","year":"2023","journal-title":"J. Environ. Manag."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1111\/gcb.13920","article-title":"Differentiating drought legacy effects on vegetation growth over the temperate Northern Hemisphere","volume":"24","author":"Wu","year":"2018","journal-title":"Glob. Chang. Biol."},{"key":"ref_25","first-page":"102179","article-title":"Global analysis of time-lag and -accumulation effects of climate on vegetation growth","volume":"92","author":"Ding","year":"2020","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"3620","DOI":"10.1111\/gcb.16178","article-title":"Revisiting the cumulative effects of drought on global gross primary productivity based on new long-term series data (1982\u20132018)","volume":"28","author":"Zhang","year":"2022","journal-title":"Glob. Chang. Biol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"2174","DOI":"10.1111\/gcb.14627","article-title":"Satellite detection of cumulative and lagged effects of drought on autumn leaf senescence over the Northern Hemisphere","volume":"25","author":"Peng","year":"2019","journal-title":"Glob. Chang. Biol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2233","DOI":"10.1080\/17538947.2023.2224086","article-title":"Time-lagged and cumulative effects of drought and anthropogenic activities on China's vegetation greening from 1990 to 2018","volume":"16","author":"Wang","year":"2023","journal-title":"Int. J. Digit. Earth"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.agrformet.2016.11.006","article-title":"Critical climate periods for grassland productivity on China\u2019s Loess Plateau","volume":"233","author":"Guo","year":"2017","journal-title":"Agric. For. Meteorol."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Yu, T., Sun, R., Xiao, Z., Zhang, Q., Liu, G., Cui, T., and Wang, J. (2018). Estimation of Global Vegetation Productivity from Global LAnd Surface Satellite Data. Remote Sens., 10.","DOI":"10.3390\/rs10020327"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Cui, T., Wang, Y., Sun, R., Qiao, C., Fan, W., Jiang, G., Hao, L., and Zhang, L. (2016). Estimating Vegetation Primary Production in the Heihe River Basin of China with Multi-Source and Multi-Scale Data. PLoS ONE, 11.","DOI":"10.1371\/journal.pone.0153971"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"129673","DOI":"10.1016\/j.jhydrol.2023.129673","article-title":"Quantitative detection and attribution of soil moisture heterogeneity and variability in the Mongolian Plateau","volume":"621","author":"Luo","year":"2023","journal-title":"J. Hydrol."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Zhu, X., Zhang, S., Liu, T., and Liu, Y. (2021). Impacts of Heat and Drought on Gross Primary Productivity in China. Remote Sens., 13.","DOI":"10.3390\/rs13030378"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1217","DOI":"10.5194\/essd-12-1217-2020","article-title":"Annual dynamics of global land cover and its long-term changes from 1982 to 2015","volume":"12","author":"Liu","year":"2020","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"180214","DOI":"10.1038\/sdata.2018.214","article-title":"Present and future K\u00f6ppen-Geiger climate classification maps at 1-km resolution","volume":"5","author":"Beck","year":"2018","journal-title":"Sci Data"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1379","DOI":"10.1080\/01621459.1968.10480934","article-title":"Estimates of the Regression Coefficient Based on Kendall's Tau","volume":"63","author":"Sen","year":"1968","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1007\/s40333-024-0090-3","article-title":"Spatiotemporal changes of gross primary productivity and its response to drought in the Mongolian Plateau under climate change","volume":"16","author":"Zhao","year":"2024","journal-title":"J. Arid Land"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"109689","DOI":"10.1016\/j.agrformet.2023.109689","article-title":"Revisiting the main driving factors influencing the dynamics of gross primary productivity in the Mongolian Plateau","volume":"341","author":"Meng","year":"2023","journal-title":"Agric. For. Meteorol."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1111\/j.1365-2486.2006.01263.x","article-title":"Fifteen years of climate change manipulations alter soil microbial communities in a subarctic heath ecosystem","volume":"13","author":"Rinnan","year":"2007","journal-title":"Glob. Chang. Biol."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1038\/s43017-019-0001-x","article-title":"Characteristics, drivers and feedbacks of global greening","volume":"1","author":"Piao","year":"2020","journal-title":"Nat. Rev. Earth Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"3546","DOI":"10.1111\/gcb.14294","article-title":"Drought timing influences the legacy of tree growth recovery","volume":"24","author":"Huang","year":"2018","journal-title":"Glob. Change Biol."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"110214","DOI":"10.1016\/j.jenvman.2020.110214","article-title":"Evaluating the cumulative and time-lag effects of drought on grassland vegetation: A case study in the Chinese Loess Plateau","volume":"261","author":"Zhao","year":"2020","journal-title":"J. Environ. Manag."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Yang, M., Zou, J., Ding, J., Zou, W., and Yahefujiang, H. (2023). Stronger cumulative than lagged effects of drought on vegetation in Central Asia. Forests, 14.","DOI":"10.3390\/f14112142"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"789","DOI":"10.1029\/2018JG004751","article-title":"Cumulative effects of climatic factors on terrestrial vegetation growth","volume":"124","author":"Wen","year":"2019","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1918","DOI":"10.1080\/15481603.2022.2143661","article-title":"Global Assessment of Cumulative and Time-Lag Effects of Drought on Land Surface Phenology","volume":"59","author":"Zhou","year":"2022","journal-title":"Giscience Remote Sens."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"107674","DOI":"10.1016\/j.ecolind.2021.107674","article-title":"Critical temperatures controlling the phenology and radial growth of Pinus sylvestris var. Mongolica on the southern margin of a cold temperate coniferous forest","volume":"126","author":"Li","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"145648","DOI":"10.1016\/j.scitotenv.2021.145648","article-title":"Quantifying the contributions of human activities and climate change to vegetation net primary productivity dynamics in China from 2001 to 2016","volume":"773","author":"Ge","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Sun, S., Du, W., Song, Z., Zhang, D., Wu, X., Chen, B., and Wu, Y. (2021). Response of gross primary productivity to drought time-scales across China. J. Geophys. Res. Biogeosci., 126.","DOI":"10.1029\/2020JG005953"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"e4289","DOI":"10.1002\/ecs2.4289","article-title":"Differentiating cumulative and lagged effects of drought on vegetation growth over the Mongolian Plateau","volume":"13","author":"Gu","year":"2022","journal-title":"Ecosphere"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"2066","DOI":"10.1111\/gcb.14002","article-title":"New insights on plant phenological response to temperature revealed from long-term widespread observations in China","volume":"24","author":"Zhang","year":"2018","journal-title":"Glob. Chang. Biol."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1002\/ldr.3701","article-title":"Assessing the response of vegetation photosynthesis to meteorological drought across northern China","volume":"32","author":"Xu","year":"2020","journal-title":"Land Degrad. Dev."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1016\/j.jclepro.2018.01.113","article-title":"Assessing vegetation response to multi-time-scale drought across Inner Mongolia Plateau","volume":"179","author":"Li","year":"2018","journal-title":"J. Clean. Prod."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.gloplacha.2017.02.008","article-title":"Response of vegetation to different time-scales of drought across China: Spatiotemporal patterns, causes and implications","volume":"152","author":"Zhang","year":"2017","journal-title":"Glob. Planet. Chang."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"102953","DOI":"10.1016\/j.earscirev.2019.102953","article-title":"A review of environmental droughts: Increased risk under global warming?","volume":"201","author":"Quiring","year":"2020","journal-title":"Earth-Sci. Rev."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"3285","DOI":"10.1002\/2017GL076521","article-title":"Global changes in drought conditions under different levels of warming","volume":"45","author":"Naumann","year":"2018","journal-title":"Geophys. Res. Lett."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"e2021EF002542","DOI":"10.1029\/2021EF002542","article-title":"Impacts of global climate warming on meteorological and hydrological droughts and their propagations","volume":"10","author":"Wu","year":"2022","journal-title":"Earth\u2019s Future"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"6823","DOI":"10.1111\/gcb.16403","article-title":"The global decline in the sensitivity of vegetation productivity to precipitation from 2001 to 2018","volume":"28","author":"Zeng","year":"2022","journal-title":"Glob. Chang. Biol."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"084005","DOI":"10.1088\/1748-9326\/ab93fa","article-title":"Vulnerability of vegetation activities to drought in Central Asia","volume":"15","author":"Deng","year":"2020","journal-title":"Environ. Res. Lett."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"3520","DOI":"10.1111\/gcb.12945","article-title":"Time-lag effects of global vegetation responses to climate change","volume":"21","author":"Wu","year":"2015","journal-title":"Glob. Chang. Biol."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"106224","DOI":"10.1016\/j.ecolind.2020.106224","article-title":"Uncertainty analysis of multiple global GPP datasets in characterising the lagged effect of drought on photosynthesis","volume":"113","author":"Xie","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"644","DOI":"10.1111\/gcb.13081","article-title":"Temperature, precipitation, and insolation effects on autumn vegetation phenology in temperate China","volume":"22","author":"Liu","year":"2016","journal-title":"Glob. Chang. Biol."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"074016","DOI":"10.1088\/1748-9326\/aa7145","article-title":"Vegetation anomalies caused by antecedent precipitation in most of the world","volume":"12","author":"Papagiannopoulou","year":"2017","journal-title":"Environ. Res. Lett."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/20\/3787\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T16:11:50Z","timestamp":1760112710000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/20\/3787"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,11]]},"references-count":62,"journal-issue":{"issue":"20","published-online":{"date-parts":[[2024,10]]}},"alternative-id":["rs16203787"],"URL":"https:\/\/doi.org\/10.3390\/rs16203787","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,11]]}}}