Agricultural and Forest Meteorology最新文献

{"title":"Estimation of wheat LAI in different leaf layers through LiDAR canopy vertical light distribution parameters and UAV vegetation indices","authors":"Dongwei Han ,&nbsp;Shaolong Zhu ,&nbsp;Muhammad Zain ,&nbsp;Weijun Zhang ,&nbsp;Guanshuo Yang ,&nbsp;Lili Zhang ,&nbsp;Binqian Sun ,&nbsp;Yuanyuan Zhao ,&nbsp;Zhaosheng Yao ,&nbsp;Tao Liu ,&nbsp;Chengming Sun","doi":"10.1016/j.agrformet.2025.110827","DOIUrl":"10.1016/j.agrformet.2025.110827","url":null,"abstract":"<div><div>Different leaf layer area index (LAI) is a key indicator that describes the progress of crop canopies and photosynthetic potential in crops. Presently, remote sensing-based methods mainly focus on estimating total LAI of the canopy, with less research on estimating LAI of different leaf layers within the canopy. A new method for estimating LAI was proposed based on laser radar estimation of canopy vertical light distribution (CVLD), combined with multi-spectral (MS) unmanned aerial vehicle acquisition of vegetation indices (VIs). We constructed different canopy structures of winter wheat by combining different plant types varieties, planting densities and nitrogen application levels. The VIs and LAI values of different leaf layers at 0 day after anthesis (0 DAA), 20 DAA and 30 DAA and canopy vertical point cloud distribution (CVPCD) and CVLD data were measured. Firstly, the correlation between CVLD and LAI at different leaf layers was analyzed, then a model for estimating LAI based on measured CVLD and VIs at each stage was established. Finally, using CVPCD to estimate CVLD accurately enabled the construction of a secondary estimation model for LAI at different leaf layers. The results showed that (1) the model based on the measured CVLD and VIs could accurately estimate LAI of each leaf layer. The coefficient of determination (R²) of the model was between 0.77-0.96. (2) The correlation coefficient between CVPCD and CVLD ranged from 0.58 to 0.87 and using different features of CVPCD could accurately estimate CVLD. (3) The R², RMSE, and MAE of the LAI estimation models for each leaf layer based on the predicted CVLD combined with VIs ranged from 0.36 to 0.92, 0.06 to 0.76, and 0.02 to 0.60 respectively. This method achieved efficient non-destructive estimation of LAI in various leaf layers in winter wheat plants while providing a new perspective for studying CVLD.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"374 ","pages":"Article 110827"},"PeriodicalIF":5.7,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144918883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing carbon flux estimation in a crop growth model by integrating UAS-derived leaf area index","authors":"Xuerui Guo ,&nbsp;Bagher Bayat ,&nbsp;Jordan Steven Bates ,&nbsp;Michael Herbst ,&nbsp;Marius Schmidt ,&nbsp;Harry Vereecken ,&nbsp;Carsten Montzka","doi":"10.1016/j.agrformet.2025.110776","DOIUrl":"10.1016/j.agrformet.2025.110776","url":null,"abstract":"<div><div>Accurate estimation of agroecosystem carbon fluxes is essential for assessing cropland sustainability and climate resilience. This study integrates Leaf Area Index (LAI) retrieval from Radiative Transfer Model (RTM) inversion into AgroC, an agroecosystem model, from Unmanned Aerial System (UAS) platform to enhance carbon fluxes estimates, including Gross Primary Production (GPP), Net Ecosystem Exchange (NEE), and Total Ecosystem Respiration (TER). By replacing the internally developed LAI in the AgroC model with interpolated LAI time series derived from UAS, improved spatiotemporal representativeness of agroecosystem carbon fluxes is observed under both the Farquhar-von Caemmerer-Berry (FvCB) and the Light Use Efficiency (LUE) photosynthesis approaches. Temporally, the highest GPP accuracy was achieved by the AgroC_FvCB model integrated with UAS-derived LAI (RMSE = 3.19 gC m⁻² d⁻¹, KGE = 0.89), while the best NEE estimation was obtained with the AgroC_LUE model integrated with UAS-derived LAI (RMSE = 2.10 gC m⁻² d⁻¹, KGE = 0.89). Spatially, the superior performance of the AgroC_FvCB model in integrating UAS-derived LAI enabled high-resolution (1 m) mapping of GPP and NEE, effectively capturing within-field spatial variations in a winter wheat field. The daily Pearson correlation coefficient <span><math><mrow><mo>(</mo><mi>r</mi><mo>)</mo></mrow></math></span> overtime ranged from 0.16 in non-vegetated areas to 0.94 in vegetated zones for GPP, and up to 0.88 for NEE. Despite the advantages taking physical basis in RTM inversion for LAI retrieval and biochemical constraints considered in FvCB approach, the limitation in TER improvement requires further investigation to refine RTM-AgroC coupling for cropland carbon fluxes modelling using UAS platforms.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"374 ","pages":"Article 110776"},"PeriodicalIF":5.7,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144916467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating remote sensing and mechanistic model for spatial evaluation of shelterbelt porosity and windbreak effectiveness in agricultural landscapes","authors":"Xing Zhang ,&nbsp;Bolin Fu ,&nbsp;Rongxin Deng ,&nbsp;Ying Li ,&nbsp;Jingwen Li ,&nbsp;Jianwu Jiang ,&nbsp;Jing Tang","doi":"10.1016/j.agrformet.2025.110822","DOIUrl":"10.1016/j.agrformet.2025.110822","url":null,"abstract":"<div><div>Shelterbelts serve critical functions in protecting agricultural ecosystems through soil erosion mitigation, wind damage reduction, and enhancement of farming system resilience. However, traditional evaluations of windbreak effectiveness have predominantly focused on localized zones close to shelterbelts, overlooking spatial heterogeneity and impeding landscape-level assessments. To fill this gap, this study first explored the relationship between shelterbelt structural parameters and remote sensing pixel, and further improved the method for extracting shelterbelt width by pixel decomposition. Then, we examined the influence of key shelterbelt parameters on porosity, and developed a mechanistic model to quantify shelterbelt porosity. We calculated the friction coefficient of shelterbelts and constructed a windbreak speed attenuation model within spatial computation domain based on porosity. Finally, by integrating regional prevailing wind direction and farmland distribution, we proposed the Windbreak Effectiveness Index (WEI) to assess shelterbelt protection in agricultural landscapes. The principal findings are summarized as follows: (1) The dimidiate pixel model reliably estimated shelterbelt fractional coverage across different ages (R² = 0.764, RMSE = 0.151), while the improved width extraction method demonstrated strong alignment with field measurements (R² = 0.758, RMSE = 2.12 m, MAE = 1.78 m) with minimal directional bias. (2) The developed mechanistic porosity model accurately characterized structural complexity of shelterbelt (R² = 0.775, RMSE = 0.066). Remote sensing data effectively captured porosity spatial variations (R² = 0.759, RMSE = 0.071) to extract shelterbelt horizontal structural parameters. (3) The friction coefficient effectively quantified wind speed attenuation near shelterbelts (R² = 0.628, RMSE = 0.080). The proposed WEI demonstrated to be a robust index for spatially revealing windbreak performance, with optimal windbreak effectiveness reaching 53.13 % in the study area. This research proposes a novel spatial framework for evaluating windbreak effectiveness of shelterbelt, offering actionable methods for optimizing shelterbelt design and management across agricultural landscapes.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"374 ","pages":"Article 110822"},"PeriodicalIF":5.7,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144913817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biases in radiative flux observations due to precipitation across the Arctic forest-tundra ecotone","authors":"Taeho Kim ,&nbsp;Wenbo Zhou ,&nbsp;Vinh Ngoc Tran ,&nbsp;Liujing Zhang ,&nbsp;Jingfeng Wang ,&nbsp;Modi Zhu ,&nbsp;Aleksey Y. Sheshukov ,&nbsp;Tianqi Zhang ,&nbsp;Desheng Liu ,&nbsp;Valeriy S. Mazepa ,&nbsp;Alexandr A. Sokolov ,&nbsp;Victor V. Valdayskikh ,&nbsp;Valeriy Y. Ivanov","doi":"10.1016/j.agrformet.2025.110814","DOIUrl":"10.1016/j.agrformet.2025.110814","url":null,"abstract":"<div><div>Accurate measurement of net radiation in the high-latitude Arctic regions is challenging since rain and snow events often introduce substantial measurement errors. To reduce the precipitation-induced measurement errors of downward radiation, customized data-driven methods are developed to reconstruct downward radiative fluxes from the biased radiation measurements. This study uses four years of field data across ten plots covered with forest, trees, and tundra in the Polar Urals from July 2018 to July 2022. Rain and snow on the radiometers absorb and block shortwave radiation and emit longwave radiation, leading to underestimation of downward shortwave and overestimation of downward longwave radiation. Snow causes more errors than rain. Seasonal variation of reconstructed net radiation for three dominant vegetation types indicates that their differences are most pronounced in April and least in September. Furthermore, forest and tree plots consistently exhibit higher magnitudes of net radiation and longer seasons of positive net radiation than tundra plots. This study advances methodologies for reconstructing corrupted net radiation data in the Arctic and offers insights into the variability of net radiation patterns within the forest-tundra ecotone.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"374 ","pages":"Article 110814"},"PeriodicalIF":5.7,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144908841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Record-breaking high temperature amplifies the negative anomaly of tropical net land carbon sinks in the 2023-2024 El Niño","authors":"Xiaomeng Du ,&nbsp;Philippe Ciais ,&nbsp;Stephen Sitch ,&nbsp;Frédéric Chevallier ,&nbsp;Michael O’Sullivan ,&nbsp;Ana Bastos ,&nbsp;Sönke Zaehle ,&nbsp;Piyu Ke ,&nbsp;Lei Zhu ,&nbsp;Zhixuan Guo ,&nbsp;Yi Leng ,&nbsp;Wanjing Li ,&nbsp;Jefferson Goncalves de Souza ,&nbsp;Wei Li","doi":"10.1016/j.agrformet.2025.110793","DOIUrl":"10.1016/j.agrformet.2025.110793","url":null,"abstract":"<div><div>The recent El Niño event developed from May 2023 to June 2024, and it experienced record-breaking high temperatures, which is different from the previous El Niño events. Impacts of these extreme climate conditions on the tropical carbon sink in 2023 and 2024 compared to other El Niño years remain unclear. Here we used atmospheric inversions and rapidly updated dynamic global vegetation models (DGVMs) to quantify the terrestrial carbon sink anomalies in the tropics. The tropical land acted as a carbon source in both 2023 and 2024. The inversion indicated a tropical land carbon sink anomaly (after detrending) of -0.85 and -0.68 PgC yr^-1 in 2023 and 2024, respectively. Although the intensity of El Niño (Oceanic Niño Index) in 2023-2024 was lower than the previous two strong El Niño events (1997-1998, 2015-2016), the terrestrial carbon sink anomaly was comparable in magnitude to that of 2015-2016. This negative anomaly was largely contributed by carbon sources in tropical America. Reduced photosynthesis is the primary cause of the simulated reduction in the tropical carbon sink during this period. The stronger temperature sensitivity combined with large temperature anomalies contributed to the negative carbon sink anomaly. The amplifying effect of temperature in terrestrial carbon sinks in the 2023-2024 El Niño suggests that long-term warming is likely to exacerbate carbon loss in extreme climate events, increasing potential risks for ecosystem sustainability and carbon sequestration.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"374 ","pages":"Article 110793"},"PeriodicalIF":5.7,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144908842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tracking drought in dryland vegetation through the photosynthetic afternoon depression index of Sun-induced chlorophyll fluorescence","authors":"Sicong He,&nbsp;Yanbin Yuan,&nbsp;Heng Dong,&nbsp;Yibo Geng,&nbsp;Tao Xiong,&nbsp;Feng Guo","doi":"10.1016/j.agrformet.2025.110799","DOIUrl":"10.1016/j.agrformet.2025.110799","url":null,"abstract":"<div><div>Vegetative photosynthesis is highly sensitive to water and heat stress, and the indirect monitoring of vegetative photosynthesis through Sun-induced chlorophyll fluorescence (SIF) has significant potential in global drought monitoring. However, substantial knowledge gaps remain regarding effective methods for assessing vegetation drought stress using remotely sensed SIF data. In this study, we employ GOCI geostationary satellite observations and OCO-3 SIF retrieval to drive a machine learning model for the purpose of monitoring SIF in typical drylands in China at high spatial resolution (500 m). Additionally, we investigated the spatial response patterns and quantitative metrics of drought by SIF and its decoupled components. The data-driven SIF reconstruction products successfully captured the afternoon decrease in photosynthesis in both space and time, particularly evident during the 2020 summer drought-heatwave composite event. It was observed that the disparity in photosynthetic intensity between the morning and afternoon periods was markedly diminished with the advent of drought conditions. The difference-type index, based on these observations, showed statistically significant correlation with both the soil drought anomaly indicator (SMZ; Pearson r: 0.53; <em>P</em> &lt; 0.05) and the Standardized Precipitation Evapotranspiration Index (SPEI; Pearson r: 0.71; <em>P</em> &lt; 0.01). Furthermore, it exhibited superior performance compared to the SIF and SIF yields derived from a single time observation. This study demonstrates the application of SIF for drought monitoring in drylands vegetation at a fine spatial scale, emphasizing the importance of multi-temporal remote sensing monitoring of vegetation photosynthesis for drought tracking.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"374 ","pages":"Article 110799"},"PeriodicalIF":5.7,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144895342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Examining the direct and indirect impacts of urbanization on vegetation net primary productivity across Chinese cities","authors":"Yulong Zhao ,&nbsp;Hao Chen ,&nbsp;Wenyan Ge ,&nbsp;Shangyu Shi ,&nbsp;Rongqi Li ,&nbsp;Tamrat Sinore ,&nbsp;Fei Wang","doi":"10.1016/j.agrformet.2025.110815","DOIUrl":"10.1016/j.agrformet.2025.110815","url":null,"abstract":"<div><div>China has undergone the world's most rapid urbanization, drastically altering regional climates and urban vegetation growth environments. However, the mechanisms of urbanization on carbon sequestration in both urban green spaces and surrounding vegetation remain underexplored. This study utilized buffer zone analysis to evaluate the spatial heterogeneity of urbanization’s effects on Net Primary Productivity (NPP) across 271 cities in China, focusing on different buffer distances. Through quantitative analysis of both the direct and indirect impacts of urbanization on NPP, the findings revealed that urbanization not only indirectly affects urban green spaces but also exerts significant negative indirect effects on vegetation in surrounding buffer zones due to spatial correlations. These findings underscore the importance of selecting areas unaffected by built-up zones to accurately quantify the effects of urbanization Direct effects of urbanization significantly reduced NPP by 30 % to 80 %, with impacts increasing toward northern latitudes. Negative indirect effects were in the eastern and central regions with reductions between 50 % and 100 %. 30 % of cities showed positive indirect effects. Moreover, the urban heat island effect was found to weaken regional carbon sequestration capacity significantly. In areas with favorable water and heat conditions, NPP is less likely to recover to its original productivity levels after experiencing human disturbances. In contrast, some arid cities exhibited positive indirect effects of urbanization, highlighting the critical role of human interventions, such as irrigation and fertilization, under specific ecological conditions. This study offers valuable insights into the impacts of urbanization on carbon sequestration within urban and surrounding ecosystems.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"374 ","pages":"Article 110815"},"PeriodicalIF":5.7,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144895268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Soil CO2 and CH4 effluxes in powerline rights-of-way and their adjacent forests","authors":"Antoine Harel ,&nbsp;Evelyne Thiffault ,&nbsp;David Paré ,&nbsp;Renée Hudon ,&nbsp;Maude Larochelle ,&nbsp;Yann Chavaillaz","doi":"10.1016/j.agrformet.2025.110801","DOIUrl":"10.1016/j.agrformet.2025.110801","url":null,"abstract":"<div><div>Global decarbonization will require a large deployment of power grids to convey electricity. The right-of-way (i.e., the cleared area below the pylons, where vegetation is periodically maintained) is a land-use change that involves changes in soil and vegetation and their carbon dynamics both within the rights-of-way and in adjacent forests, notably via an edge effect. Our main objective was to assess whether soil CO₂ effluxes (F_CO₂), soil CH₄ effluxes and microclimate (soil temperature and water content) differed between powerline rights-of-way and their adjacent forests compared to control forests over a large bioclimatic gradient of upland sites across the temperate and boreal forests of Eastern Canada. Monthly efflux measurements were carried out between May and October 2023 and 2024 in eight rights-of-way and their adjacent edge and control forests. Overall, cumulative total F_CO₂ during the snow-free period were lower (–7.57 %) in rights-of-way and higher (+11.20 %) in the edge forests compared to the control forests. However, these results were not consistent across the bioclimatic gradient: balsam fir forests, contrarily to forests from both cooler and warmer bioclimatic domains, showed enhanced soil respiration in rights-of-way. Overall, soils were warmer and wetter in rights-of-way compared to control and edge forests; however, no effects were found on the soil methane uptake. Our study indicated that the presence of a powerline right-of-way influences soil biogenic carbon emissions. Effects are related both to changes in abiotic and biotic conditions. These estimates should improve the assessment of the carbon footprint of power transmission and electricity deployment.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"374 ","pages":"Article 110801"},"PeriodicalIF":5.7,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144892975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel model quantifies epiphyte-mediated temperature and water dynamics in a tropical montane cloud forest","authors":"David Carchipulla-Morales ,&nbsp;Haley Corbett ,&nbsp;Damon Vaughan ,&nbsp;Sybil G. Gotsch ,&nbsp;Todd E. Dawson ,&nbsp;Nalini Nadkarni ,&nbsp;Lauren E.L. Lowman","doi":"10.1016/j.agrformet.2025.110770","DOIUrl":"10.1016/j.agrformet.2025.110770","url":null,"abstract":"<div><div>Tropical montane cloud forests (TMCFs) are ecosystems with high biodiversity that are threatened by deforestation, land use changes, and climate change. One of the unique aspects of TMCFs is the high biomass and diversity of epiphytes. Epiphytes are vascular and non-vascular plants that live in tree canopies, creating arboreal micro-ecosystems. They provide ecological services by capturing and retaining allochthonous nutrients from rain and fog, and by supporting the presence of canopy pollinators and other fauna. Predicted changes in cloudiness and land conversion threaten the abundance of epiphytes, and thus their capacity to contribute to ecosystem functions. However, how losses in epiphyte abundance will affect microclimate and host tree water status is still unclear and requires the ability to simulate the role of epiphytes in canopy water storage dynamics. We developed a water balance model for epiphytes in TMCFs. We consider epiphytes in the host tree as a water store inside the canopy that is filled via precipitation from both rain and fog, and depleted via evapotranspiration and host tree water uptake. The model was used to simulate water and energy fluxes between the epiphytes and their surroundings under idealized and real dry season conditions for TMCFs near Monteverde, Costa Rica. Results from the idealized and real simulations capture how epiphytes retain water under dry-down conditions, leading to small diurnal variability in temperature, low evapotranspiration rates, and enhanced dew deposition at night. We find that dew deposition recharges up to 34 % of epiphyte water storage lost due to evapotranspiration over a 3-day dry-down event. Our results provide the first quantitative demonstration of the importance of epiphyte water storage on temperature and dew formation in TMCFs. This work sets the foundation for developing a process-based understanding of the effects of epiphyte loss on TMCF ecohydrology.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"374 ","pages":"Article 110770"},"PeriodicalIF":5.7,"publicationDate":"2025-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144890993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The response of ecosystem marginal water use efficiency to soil drying","authors":"Yuanzhizi Deng,&nbsp;Yao Zhang","doi":"10.1016/j.agrformet.2025.110800","DOIUrl":"10.1016/j.agrformet.2025.110800","url":null,"abstract":"<div><div>Marginal water use efficiency (λ) describes the increase in carbon assimilation per unit of water loss. The stomatal optimization theory posits that λ remains stable over short timescales, yet to what extent λ varies across space and time, and how it relates to ecosystem-level characteristics remains unclear. Here, we estimated daily λ using ecosystem-scale underlying water use efficiency (uWUE) derived from eddy covariance (EC) measurements and analyzed its trend along declining soil moisture. We found that λ generally increased with declining soil moisture, and its sensitivity to soil water deficit (λ gradients) also intensified under drier conditions. This response was more pronounced in forest and woody ecosystems compared to non-forest systems. The weakest λ gradients are observed in regions with intermediate aridity, moderate soil texture, lower tree cover, and shallower rooting depth. These different patterns of λ gradients along soil drying can inform the ecosystem-level plant water use strategies, with stronger gradients often corresponding to ecosystems dominated by more isohydric species. Our study highlights the necessity to consider spatiotemporal variations of λ to predict stomatal behaviors in response to drought.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"374 ","pages":"Article 110800"},"PeriodicalIF":5.7,"publicationDate":"2025-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144890990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}