{"title":"在干燥的土地上,土壤蒸发量减少","authors":"Han Chen , Yizhao Wei","doi":"10.1016/j.agrformet.2025.110550","DOIUrl":null,"url":null,"abstract":"<div><div>Rising vapor pressure deficit (VPD) due to warming has increased global land surface soil evaporation (E), whereas reduced soil moisture (SM) from global drying has suppressed E. However, the relative contributions of these two factors to global E remain poorly understood, creating significant uncertainty regarding its long-term trends. This study constructed an E model that integrated physical processes with machine learning and validated its performance using in-situ E data from 368 global flux sites. The trained hybrid model was then employed to create a dataset of global land surface E for both historical and future periods, enabling the identification of long-term trends and drivers of E across these timeframes. Our findings revealed that the negative impact of SM decline on global E outweighed the positive effects of increased VPD, resulting in a long-term downward trend in global land surface E from 1982 to 2023 (–0.28 ± 0.07 mm/year²). Under future climate change scenarios, global land surface E was projected to continue its decline at a faster rate than observed in historical periods (average –0.42 ± 0.11 mm/year² under three climate change scenarios from 2024 to 2100), with SM playing a dominant role in this trend. The long-term downward trend was further corroborated by nine additional E datasets. These results underscored the critical role of global drying in driving the persistent decline in global E and highlighted how climate change was exacerbating risks to global water resources.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"368 ","pages":"Article 110550"},"PeriodicalIF":5.6000,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Declining soil evaporation on a drying earth\",\"authors\":\"Han Chen , Yizhao Wei\",\"doi\":\"10.1016/j.agrformet.2025.110550\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Rising vapor pressure deficit (VPD) due to warming has increased global land surface soil evaporation (E), whereas reduced soil moisture (SM) from global drying has suppressed E. However, the relative contributions of these two factors to global E remain poorly understood, creating significant uncertainty regarding its long-term trends. This study constructed an E model that integrated physical processes with machine learning and validated its performance using in-situ E data from 368 global flux sites. The trained hybrid model was then employed to create a dataset of global land surface E for both historical and future periods, enabling the identification of long-term trends and drivers of E across these timeframes. Our findings revealed that the negative impact of SM decline on global E outweighed the positive effects of increased VPD, resulting in a long-term downward trend in global land surface E from 1982 to 2023 (–0.28 ± 0.07 mm/year²). Under future climate change scenarios, global land surface E was projected to continue its decline at a faster rate than observed in historical periods (average –0.42 ± 0.11 mm/year² under three climate change scenarios from 2024 to 2100), with SM playing a dominant role in this trend. The long-term downward trend was further corroborated by nine additional E datasets. These results underscored the critical role of global drying in driving the persistent decline in global E and highlighted how climate change was exacerbating risks to global water resources.</div></div>\",\"PeriodicalId\":50839,\"journal\":{\"name\":\"Agricultural and Forest Meteorology\",\"volume\":\"368 \",\"pages\":\"Article 110550\"},\"PeriodicalIF\":5.6000,\"publicationDate\":\"2025-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Agricultural and Forest Meteorology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0168192325001704\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRONOMY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural and Forest Meteorology","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168192325001704","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
Rising vapor pressure deficit (VPD) due to warming has increased global land surface soil evaporation (E), whereas reduced soil moisture (SM) from global drying has suppressed E. However, the relative contributions of these two factors to global E remain poorly understood, creating significant uncertainty regarding its long-term trends. This study constructed an E model that integrated physical processes with machine learning and validated its performance using in-situ E data from 368 global flux sites. The trained hybrid model was then employed to create a dataset of global land surface E for both historical and future periods, enabling the identification of long-term trends and drivers of E across these timeframes. Our findings revealed that the negative impact of SM decline on global E outweighed the positive effects of increased VPD, resulting in a long-term downward trend in global land surface E from 1982 to 2023 (–0.28 ± 0.07 mm/year²). Under future climate change scenarios, global land surface E was projected to continue its decline at a faster rate than observed in historical periods (average –0.42 ± 0.11 mm/year² under three climate change scenarios from 2024 to 2100), with SM playing a dominant role in this trend. The long-term downward trend was further corroborated by nine additional E datasets. These results underscored the critical role of global drying in driving the persistent decline in global E and highlighted how climate change was exacerbating risks to global water resources.
期刊介绍:
Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published.
Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.