
样式: 排序: IF: - GO 导出 标记为已读
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Isotopic disequilibrium of the retro-diffusive CO2 efflux affects photosynthetic C18OO discrimination and the estimation of mesophyll conductance Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-19 Sui Min Huang, Jérôme Ogée, Xiao Ying Gong, Wei Ting Ma, Lei Li, Xuming Wang, Hans Schnyder, Rudi Schäufele
Photosynthetic C18OO fractionation (Δ18O) has been used to estimate mesophyll conductance (gm) in C3 and C4 species. However, this requires knowledge of the degree of isotopic equilibration (θr) between leaf water and the CO2 molecules penetrating the leaf interior and re-escaping without being assimilated (Fretro). Here, we re-examine the theory of Δ18O-gm estimation and its sensitivity to changes
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The sequence of physiological stress thresholds responses to drought in a temperate mixed forest Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-19 Rui Zhang, Chuankuan Wang, Ruibing Duan, Lele Wang, Ying Jin
Predicting the influence of worldwide drought on forests remains constrained by lacking of mechanistic understanding of trait interactions in defining physiological dysfunction under water stress, particularly with respect to the interaction between plant stomatal regulation and hydraulics. In this study, we investigated key stomatal and hydraulic traits of leaves and stems for 17 temperate woody species
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A combined effect of heat and drought limits the growth of Central European silver fir Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-20 Peter Marcis, Jaroslav Vido, Daniel Kurjak, Adriana Lestianska, Dominik Poltak, Jergus Rybar, Michal Bosela
Prolonging drought periods and more extreme heatwaves limit tree species adaptation to environmental changes. Silver fir (Abies alba, Mill.) has been considered one of the species suitable for forest ecosystem adaptation and mitigation strategies in future climate conditions. Here, we present a dendroecological study of the joint effects of droughts and heatwaves on the radial growth of silver fir
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Evaluating the impact of weather variability on maize yield fluctuation for different sowing dates Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-17 Yuan-Chih Su, Ping-Wei Sun, Hung-Yu Dai, Bo-Jein Kuo
Frequent and intense adverse weather resulting from climate change can lead to high fluctuations in crop yields. However, sowing dates can be adjusted to avoid adverse weather and thereby mitigate crop yield fluctuation. To elucidate the relationship between the sowing date and fluctuations in maize (Zea mays L.) yield, this study evaluated the effect of weather conditions, including adverse weather
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Degradation mechanisms and restoration strategies of Haloxylon ammodendron Forests: Insights from water use and environmental stress Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-17 Yuquan Qiang, Mingjun Zhang, Yu Zhang, Xianying Xu, Jinchun Zhang, Guiquan Fu, Peng Zhao, Shengjie Wang
Haloxylon ammodendron as a key sand - fixing tree species in the oasis - desert ecotone of arid regions, its degradation seriously threatens regional ecological security. In this study, by integrating heat diffusion technology, isotope tracing, and multi - environmental factor monitoring, the water - use strategies of H. ammodendron forests with different degradation degrees and their response mechanisms
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Temporal patterns in root water uptake and intrinsic water-use efficiency of overstory and understory tree species in a subtropical humid pine forest Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-16 Lu Li, Wei Ren, Lide Tian
Root water uptake and leaf-level intrinsic water-use efficiency (WUEi) and their temporal variations are important determinates of plant water balance and carbon fixation, yet these processes in humid forest trees are much less explored. We investigated the monthly variations in xylem and soil water isotopes (δ18O, δ2H), leaf carbon isotope (δ13C), soil, xylem and leaf water contents as well as the
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Mature biocrust-covered soil carbon fluxes are dependent on their types: Moss-covered soils still serve as sinks while cyanobacteria-covered soils become sources Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-16 Weiqiang Dou, Bo Xiao
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Assessing the impact of climate indices on corn yield in the continental USA using machine learning approach Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-16 Amitesh Sabut, Kumar Puran Tripathy, Ashok Mishra, Martha Anderson, Michael Cosh, Simon kraatz, Feng Gao, Richard Cirone
Climate has a profound impact on crop productivity, but its effects are difficult to measure due to significant spatial and temporal variability. This study explores a wide range of climatic indices that represent the various conditions affecting corn growth across the United States. By employing clustering techniques, we categorized rainfed corn-growing regions into distinct zones based on similar
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Validation of the vertical plant area index profile product derived from GEDI over global forest sites Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-15 Yao Wang, Hongliang Fang, Yu Li, Sijia Li, Hao Tang
Knowledge of the vertical plant area index (PAI) profile is critical for understanding the forest structural and functional characteristics. Vertical PAI profile has been retrieved by the Global Ecosystem Dynamics Investigation (GEDI) spaceborne LiDAR. However, large-scale validation of the GEDI PAI profile products is limited, and their performance has yet to be clearly established. This study aims
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Improved uncertainty estimates for eddy covariance-based carbon dioxide balances using deep ensembles for gap-filling Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-15 Henriikka Vekuri, Juha-Pekka Tuovinen, Liisa Kulmala, Mika Aurela, Tea Thum, Jari Liski, Annalea Lohila
Eddy covariance (EC) measurements of carbon dioxide (CO2) fluxes are commonly used to determine CO2 balances of ecosystems. However, comparisons between experimental treatments, environmental controls or measurement sites are not meaningful without proper uncertainty estimates for the balances. We studied how random and systematic errors depend on the amount of missing data and whether the uncertainty
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Local and downwind precipitation has been boosted by evapotranspiration change-induced moisture recycling in the Chinese Loess Plateau Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-15 Chao Gao, Jinxia Fu, Zhiming Han, Wangjia Ji, Liu Zhao, Xiaohua Wei, Zhi Li
The Grain for Green Project in the Chinese Loess Plateau (CLP) has greatly increased vegetation cover and altered land use patterns. However, the effects of evapotranspiration (ET) from different vegetation types on local and downwind precipitation remain unclear. In this study, we employed a moisture tracking model to quantify the contributions of ET-driven moisture recycling to precipitation change
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Rice water requirement exacerbates groundwater depletion in Northeast China under a changing climate Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-15 Yuanbo Zhao, Tao Li, Jin Zhao, Zhentao Zhang, Runze Liu, Yanying Shi, Haoyu Ma, Chuang Zhao, Zhijuan Liu, Xiaoguang Yang
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Pioneering insights into the global and local origins of Betula spp. pollen in Iceland: Tracing long-distance transport pathways Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-14 Ewa Przedpelska-Wasowicz, Paweł Bogawski, Katarzyna Piotrowicz, Beata Bosiacka, Agnieszka Grinn-Gofroń, Dorota Myszkowska
Iceland’s natural woodlands are dominated by the downy birch (Betula pubescens), while the dwarf birch (B. nana) is common in shrublands. These two species are the local sources of allergenic pollen that, however, may also be transported from outside Iceland (distant sources). This study aims to detect long-distance pollen transport, elucidate its mechanisms, and assess the relative contributions of
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Higher warming rate in global arid regions driven by decreased ecosystem latent heat under rising vapor pressure deficit from 1981 to 2022 Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-14 Jingping Wang, Hanlin Niu, Shupeng Zhang, Xiuzhi Chen, Xiaosheng Xia, Yanwu Zhang, Xingjie Lu, Bin He, Tongwen Wu, Chaoqing Song, Zheng Fu, Jingyu Yao, Wenping Yuan
The vapor pressure deficit (VPD), an indicator of atmospheric dryness, is a critical environmental factor influencing terrestrial ecosystem evapotranspiration (ET), with the energy required for ET being supplied by latent heat flux (LE). VPD significantly affects regional and global climate systems by altering surface energy allocation. Under ongoing global warming, VPD is expected to increase continuously
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Opposite effects of temperature and precipitation on vegetation growth onset in Africa Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-14 Siqi Shi, Peiqi Yang, Anton Vrieling, Christiaan van der Tol
Understanding the responses of vegetation phenology to climate change is of great importance in predicting land-atmosphere carbon and water exchange. Previous studies have revealed a delayed start of the growing season (SOS) in most African regions over the past three decades, contrasting with the advancing trend observed in the Northern Hemisphere. However, the climatic drivers of this SOS delay in
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Assessing predictors for fuel moisture content in Central European forests Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-13 Johanna Kranz, Konrad Bauer, Valerio Pampanoni, Li Zhao, Christopher Marrs, Matthias Mauder, Markéta Poděbradská, Marieke van der Maaten-Theunissen, Marta Yebra, Matthias Forkel
The moisture content of litter, woody debris and living vegetation controls the ignition and spread of fires and the composition of fire emissions. Since many forests in Central Europe were not considered fire-prone, very few observations and knowledge about fuel moisture content (FMC) are available. In this study, we aim to evaluate the representativeness of (i) continuous FMC measurements from in
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Simulating the growth and yields of Brachiaria Brizantha using the CROPGRO-perennial forage model under present and future climate conditions in subhumid environments of Ethiopia Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-13 Fantahun Dereje, Ashenafi Mengistu, Diriba Geleti, Diriba Diba, Fekede Feyissa, Diego Pequeno, Buzunesh Tesfaye
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Site aridity has a stronger impact on nocturnal sap flow than species with contrasting stomatal behaviors on the northeastern Tibetan Plateau Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-12 Fang Wang, Junzhou Zhang, Xiaohua Gou, Zhaoyong Hu, Fen Zhang, Zihong Man, Qipeng Sun, Min Xu, Patrick Fonti
Climate change is increasing the frequency and intensity of drought episodes, altering regional aridity levels. Previous studies have focused on the temporary impacts of seasonal drought on nocturnal sap flow, but how long-term site aridity levels and species-specific stomatal behaviors influence nocturnal sap flow remains unclear. Here, we monitored sap flux density and relevant environmental factors
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Simulating generic agrivoltaic systems with ORCHIDEE: Model development and multi-case study insights Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-09 Lia Rapella, Nicolas Viovy, Jan Polcher, Davide Faranda, Jordi Badosa, Philippe Drobinski
Agrivoltaics (AVs) has emerged as a promising solution to address the competing demands for land, energy, and food production within the Water-Energy-Food-Ecosystem (WEFE) nexus. However, its effects depend on climate, crops and local conditions, requiring large-scale models capable of capturing these variations. For this purpose, our study introduces a new regional-scale AV model, at the interface
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The Role of Atmospheric Boundary Layer Wind and Turbulence on Surface Pollen Levels Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-09 Juana Andújar-Maqueda, Pablo Ortiz-Amezcua, Paloma Cariñanos, Jesús Abril-Gago, Concepción De Linares, Gregori de Arruda Moreira, Juan Antonio Bravo-Aranda, María José Granados-Muñoz, Lucas Alados-Arboledas, Juan Luis Guerrero-Rascado
The atmospheric boundary layer (ABL) is the lowest layer of the atmosphere, where most of the interactions between the atmosphere and the Earth’s surface occur. Within this layer, the air movements and the turbulent processes facilitate the dispersion and transport of particles. This work quantifies the effect of ABL-dynamics related variables on the surface pollen concentrations in the city of Granada
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Improved fire severity prediction using pre-fire remote sensing and meteorological time series: Application to the French Mediterranean area Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-08 Victor Penot, Thomas Opitz, François Pimont, Olivier Merlin
Fire severity, or how an environment is affected by fire, can be estimated over large areas using remotely sensed indices like the Relative Burnt Ratio (RBR). RBR predictions typically rely on data from a single date just before the fire. However, predicting RBR accurately in both time and space remains challenging. To improve RBR predictability, we developed new models using time series data spanning
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Remote sensing assessment of invasive plant species impacts on microclimate and water stress in mediterranean coastal ecosystems Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-08 Giorgi Kozhoridze, Eyal Ben-Dor, Vítězslav Moudrý, Marcelo Sternberg
This study uses multi-source, multi-temporal remote sensing imagery to compare the effects of invasive Heterotheca subaxillaris and Acacia saligna and natural vegetation on microclimate conditions in Israeli coastal plain. The overall accuracy of the classification and mapping of invasive species and other land covers was 85 %, with optimal performance observed using late autumn imagery. Among the
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Spring factors controlling interannual CO2 flux variations in a subtropical humid alpine meadow on the southeastern Tibetan Plateau Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-08 Feng Zeng, Ruowen Yang, Huizhi Liu, Qun Du, Yang Liu, Huancai Cun
Understanding of the carbon cycling in subtropical humid alpine meadows is still limited due to the scarcity of observations in this area. It is crucial to quantify the temporal dynamics and factors influencing CO2 fluxes in order to predict ecosystems CO2 budgets accurately under climate change. This study utilized 11 years (2012–2022) of eddy covariance observation data to investigate CO2 fluxes
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The stand age governs forest root: Shoot ratios across northeast China Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-08 Han Wu, Zhenggang Du, Lingyan Zhou, Guiyao Zhou, Giovanni Coco, Jing Gao, Xuhui Zhou
Root: shoot (RS) ratios are widely used to estimate global and regional forest carbon stocks and to model the forest carbon cycle. However, limited knowledge is available regarding factors that determine RS spatial patterns, particularly in high-latitude temperate regions. Therefore, in this study, we compiled 189 measurements of forest RSs across Northeast China to evaluate the main drivers of RS
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Exploring the combined effects of drought and drought-flood abrupt alternation on vegetation using interpretable machine learning model and r-vine copula function Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-08 Lulu Xie, Yi Li, Ziya Zhang, Kadambot H.M. Siddique, Xiaoyan Song
Global warming has significantly increased the frequency and intensity of extreme events, such as drought and drought-flood abrupt alternation (DFAA). Vegetation, a crucial component of terrestrial ecosystems, contributes greatly to agricultural production and economic development. Assessing the impacts of droughts and DFAA on vegetation is essential for ecological environment protection, food security
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Warmer winter under climate change would reshape the winter subsurface drainage pattern in Eastern Canada Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-08 Ziwei Li, Zhiming Qi, Junzeng Xu, Yuchen Liu, Ward N. Smith, Andrew VanderZaag, Tiequan Zhang, Birk Li, Haomiao Cheng
Subsurface drainage is a key loss pathway for water and nutrients from agricultural land in Eastern Canada. Winter is a dominant period of subsurface drainage and nutrient loss in cold climates. Under climate change, however, future winter drainage patterns may change significantly due to reductions in snow cover and soil freezing. This study evaluated the performance of four machine-learning (ML)
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A decade of lost growth in old trees: aging shapes the impacts of drought and late frost events on European beech Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-07 Álvaro Rubio-Cuadrado, Isabel Dorado-Liñán, Rosana López, J․Julio Camarero
Studying growth declines and the factors that cause them, such as droughts or late spring frosts, is key to understanding their influence on forest productivity. However, most of the currently used methodologies to assess these events have drawbacks that can lead to erroneous conclusions. The increasing frequency and importance of these growth declines is linked to a higher climate variability and
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When do clouds and aerosols lead to higher canopy photosynthesis? Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-06 Kevin H.H. van Diepen, Elias Kaiser, Oscar K. Hartogensis, Alexander Graf, Jordi Vilà-Guerau de Arellano, Arnold F. Moene
Clouds and aerosols can increase canopy photosynthesis relative to clear-sky values through changes in total and diffuse solar radiation: the diffuse fertilization effect (DFE). DFE varies across observational sites due to (a) inconsistent definitions and quantifications of DFE, (b) unexplored relationships between DFE and cloudiness type, and (c) insufficient knowledge of the effect of site characteristics
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In vitro plant spectral response reveals dust stress Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-05 Ali Darvishi Boloorani, Saham Mirzaei, Hossein Ali Bahrami, Masoud Soleimani, Najmeh Neysani Samany, Ramin Papi, Maryam Mahmoudi, Mohsen Bakhtiari, Alfredo Huete
Early-stage plant stress detection is a key measure for sustainable agriculture management. Mineral dust as an abiotic stressor affects the physical, chemical, and physiological characteristics of plants, which are linked to the plant's visible and near-infrared (VNIR) reflectance. However, considering the intensity of plant exposure to dust and associated spectral feedback remain unclear. This study
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Reversal of the sensitivity of vegetation productivity to precipitation in global terrestrial biomes over the recent decade Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-05 Weirong Zhang, Zehao Fan, Chuan Jin, Yue Jiao, Kai Di, Ming Feng, Yifei Lu, Kun Zhao, Hongxian Zhao, Shaorong Hao, Zhongmin Hu
The sensitivity of vegetation productivity to precipitation (Sppt) is crucial for grasping how vegetation responds to changing precipitation and forecasting future shifts in ecosystem function. However, comprehensive assessment of Sppt globally is limited by specific technical defects or objective limitations, leading to a poor understanding of its spatial distribution and temporal variations. In this
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Temperature and moisture both control net methane uptake in a temperate forest soil Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-05 Yuqi Liu, Jesper Riis Christiansen, Kai Huang, Dongwei Liu, Yihang Duan, Gang Liu, Geshere Abdisa Gurmesa, Xiaoming Fang, Shushi Peng, Yunting Fang
The role of well-aerated forest soils as sinks for atmospheric methane (CH4) and their impact on mitigating climate warming have gained attention recently. However, there is a lack of continuous time series data on net soil CH4 flux in these forest soils, making annual budget estimates uncertain. In this study, we investigated the spatiotemporal variations and driving factors of soil CH4 uptake in
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Estimation of rice yield using multi-source remote sensing data combined with crop growth model and deep learning algorithm Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-04 Jian Lu, Jian Li, Hongkun Fu, Wenlong Zou, Junrui Kang, Haiwei Yu, Xinglei Lin
Accurate rice yield estimation is vital for agricultural planning and food security, especially in Northeast China, a key rice-producing region. This study presents an integrated framework combining multi-source remote sensing data, crop growth modeling, and deep learning techniques to enhance rice yield prediction accuracy. We utilized Moderate Resolution Imaging Spectroradiometer (MODIS) and Sentinel-2
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A comparison of chamber-based methods for measuring N2O emissions from arable soils Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-03 Meng Kong, Farhana Ferdous Mitu, Søren O. Petersen, Poul Erik Lærke, Diego Abalos, Peter Sørensen, Andreas Brændholt, Sander Bruun, Jørgen Eriksen, Christian Dold
Static chamber-based flux measurements with gas chromatography are commonly used to estimate nitrous oxide (N2O) emissions from arable soils. The LI-COR 7820 N2O/H2O (LI-7820) enables higher-frequency in situ measurements, but side-by-side comparisons with traditional methods are limited. To address this gap, we compared non-steady-state chamber methods including non-flow-through (NFT) and flow-through
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Assessing long-term weather variability impacts on annual grain yields using a maize simulation model Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-02 Kathryn E. White, David H. Fleisher, Michel A. Cavigelli, Dennis J. Timlin, Harry H. Schomberg
Process-based model simulation studies using legacy data can be used to expand LTAR (Long-Term Agroecosystem Research) enabling exploration of factors otherwise difficult to measure in the field. Management strategies to improve yield stability in response to long-term weather variability can be readily evaluated. MAIZSIM is a coupled crop and soil simulation model that simulates processes at an hourly
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Enhancing Ready-to-Implementation subseasonal crop growth predictions in central Southwestern Asia: A machine learning-climate dynamical hybrid strategy Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-02 Tao Zhu, Mengqian Lu, Jing Yang, Qing Bao, Stacey New, Yuxian Pan, Ankang Qu, Xinyao Feng, Jun Jian, Shuai Hu, Baoxiang Pan
Responding to the urgent need for precise, one-month-ahead crop growth predictions in Central Southwestern Asia (CSWA), this study introduces a fully operational convolutional neural network (CNN)-climate dynamical hybrid model designed for real-time agricultural planning and management. It is engineered to accurately forecast the Normalized Difference Vegetation Index (NDVI), a vital indicator of
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Microclimate of large solitary trees along rural-to-urban gradients across Europe Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-02 Astrid Van den Bossche, Karlien Moeys, Karen De Pauw, Koenraad Van Meerbeek, Arno Thomaes, Jörg Brunet, Sara A.O. Cousins, Martin Diekmann, Bente J. Graae, Jenny Hagenblad, Paige Heavyside, Per-Ola Hedwall, Thilo Heinken, Siyu Huang, Jonathan Lenoir, Jessica Lindgren, Sigrid Lindmo, Leonie Mazalla, Tobias Naaf, Anna Orczewska, Jolina Paulssen, Jan Plue, Fabien Spicher, Thomas Vanneste, Kris Verheyen
Large solitary trees are keystone features for biodiversity in many urban and rural landscapes around the world. Yet, because of their isolation, they do not benefit from the buffering effect of neighbouring trees as in forests. As they are more exposed, solitary trees are more vulnerable to the impacts of climate change, such as extreme droughts, heat waves, and wind gusts. Research on microclimates
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Metrics of plant response to CO2 Enrichment Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-02 Leon H. Allen, Bruce A. Kimball, James A. Bunce, Kenneth J. Boote, Jeffrey W. White
This LETTER discusses metrics that can be used to quantify plant response to fluctuating elevated CO2 such as in Free-Air CO2 Enrichment (FACE) compared to that at constant elevated CO2, both with the same average elevated CO2 concentration. The concept of Reduction in CO2-stimulated uptake rate in oscillating elevated CO2 (Holtum and Winter, 2003), abbreviated as RCS, value = 0.33, is the FIRST METRIC
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Drought impact on tree productivity: Varying roles of tree size and structural diversity in 18 woody species along gradients of slow-fast growth strategies Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-05-02 Galen Hanby, Omkar Joshi, Lu Zhai
Previous studies have shown significant variation in drought effects on forest productivity, potentially linked to differing structural attributes among forest ecosystems. However, the influences of tree size and structural diversity, especially across different species, remain poorly understood. We analyzed large-scale forest survey data to examine the interactive effects of structural attributes
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Carbon sequestration capacity of a prairie pothole wetland under warm and dry conditions Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-04-30 W. Oshini K. Fernando, Samuel G. Woodman, Stewart B. Rood, Lawrence B. Flanagan
Prairie Pothole wetlands have large temporal changes in water status. The wetlands are often flooded, with water above the soil surface during the early growing season, while becoming dry during the later growing season or for years under strong drought. We used the eddy covariance technique to assess the potential for ecosystem carbon sequestration as a natural climate solution in a large Prairie
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Reconciling plant water stress response using vegetation and soil moisture data assimilation for vegetation-soil-hydrology interaction estimation over the Chinese Loess Plateau Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-04-30 Zunyun Shu, Baoqing Zhang, Liuyang Yu, Xining Zhao
Vegetation, soil, and hydrological processes interact with each other in the Earth's ecosystem. The coupling of leaf area index (LAI) and evapotranspiration (ET), cor(LAI,ET), is a critical process for controlling water, carbon, and energy cycles during these interactions. However, current land surface models (LSMs) inadequately reproduce cor(LAI,ET) owing to plant water stress (β)-induced uncertainty
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Emerging evidence for delaying effect of winter warming on green-up onset in alpine grasslands on the Tibetan Plateau Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-04-29 Shiyuan Wu, Zhiyong Yang, Miaogen Shen, Bo Fang, Lei Zhang, Lihao Zhang, Wenquan Zhu, Nan Jiang, Tsechoe Dorji, Shiping Wang, Shilong Piao
Experimental and observational evidence indicates that spring warming advances the green-up onset of woody plants, while winter warming delays it. However, evidence for herbaceous plants is limited, leaving a gap in our understanding of how their green-up onset respond to winter warming, which complicates predictions of phenological shifts under long-term climate change. Particularly in the alpine
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Magnitude, drivers, and patterns of gross primary productivity of rice in Arkansas using a calibrated vegetation photosynthesis model Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-04-28 Riasad Bin Mahbub, Michele L. Reba, Benjamin R.K. Runkle
An estimate of the gross primary productivity (GPP) of rice fields is instrumental for understanding both their harvest yield and landscape greenhouse gas dynamics. Rice contributes $1.7 billion annually to Arkansas’s economy, however, there is a lack of understanding of the spatial variation of rice’s GPP and its predictors. We employ the satellite-based vegetation photosynthesis model (VPM) to estimate
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Precipitation recycling of water used for irrigation in Central Brazil Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-04-27 Livia Maria Brumatti, Raphael Pousa, Ana Beatriz Santos, Igor Fernandes Erhardt, Julia Sprangim Meira, Gustavo Mairink, Everardo Chartuni Mantovani, Marcos Heil Costa
About half of Brazil’s water demand is for irrigation, which has expanded greatly in Central Brazil in the last several decades. This study aims to estimate the feedback of irrigation on the regional climate system. More specifically, we estimate the amount of water withdrawals for irrigation in four irrigation zones in Central Brazil reprecipitate locally and in downwind regions. First, we used satellite
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Surface energy exchanges and stability conditions associated with convective intense rainfall events on the central Andes of Peru Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-04-26 José Luis Flores-Rojas, David A. Guizado-Vidal, Jairo Valdivia-Prado, Yamina Silva, Elver Villalobos-Puma, Luis Suárez-Salas, Zenón Mata-Adauto, Hugo Abi Karam
This study presents an in-depth analysis of precipitation patterns, surface energy balance (SEB) components, and atmospheric vertical gradients (AVG) in the Huancayo Geophysical Observatory (HYGO) situated in an agricultural region inside the Mantaro valley within the central Andes of Peru, utilizing data from January 2018 to April 2022 and climatic-scale data from 1965 to 2018. Our findings reveal
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The caatinga dry tropical forest: A highly efficient carbon sink in South America Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-04-23 Keila R. Mendes, Pablo E.S. Oliveira, José Romualdo S. Lima, Magna S.B. Moura, Eduardo S. Souza, Aldrin M. Perez-Marin, John Elton B.L. Cunha, Pedro R. Mutti, Gabriel B. Costa, Thales N. Martins de Sá, Paula A.A. Araujo, Rosaria R. Ferreira, Thiago V. Marques, Daniele T. Rodrigues, Suany Campos, Mariana M.L.V. Melo, Israel V.H. Silva, Leonardo F. Morais, Fábio S. Nascimento, Iara B. Silva, Gustavo
Seasonally Dry Tropical Forests (SDTFs) may act as considerable carbon sinks, regulating the atmospheric and terrestrial carbon storage and fluxes with implications for local, regional and global climates. In the Caatinga, an endemic Brazilian SDTF, the research on the magnitude of the CO2 sink is still incipient. To address this gap, we conducted a comprehensive analysis of observed CO2 fluxes using
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Exploring the climate signal in the variation of winter wheat quality records in the North China Plain Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-04-22 Weimo Zhou, Syed Tahir Ata-Ul-Karim, Yoichiro Kato, Hongyan Liu, Kaicun Wang
Crop quality is a critical aspect of food security, impacting end-use applications and market competitiveness. There is a well-established understanding of the impacts of climate change on crop yields, while its impacts on crop quality are often overlooked. Given the critical role of wheat in global food security and the ongoing climate change, it is essential to explore the climate drivers in shaping
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Co-regulation of climate and vegetation on seasonal and interannual variations of energy exchange over a temperate grassland Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-04-22 Yanbing Wang, Cuihai You, Xingru Tan, Tingting Ren, Tiancheng Su, Xingguo Han, Shiping Chen
Restoration of degraded grasslands can enhance productivity and promote carbon and water cycling, but changes in energy fluxes and the partitioning of net radiation (Rn) during restoration remain poorly understood. Clarifying the role of vegetation structural and physiological regulations of energy partitioning in semiarid grasslands is critical for advancing our understanding of ecosystem functioning
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Plant life form determines net ecosystem CO2 exchange in a salt marsh under precipitation changes Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-04-21 Zhenghao Liang, Jia Song, Xinge Li, Mingliang Zhao, Xiaojing Chu, Xiaojie Wang, Peiguang Li, Xiaoshuai Zhang, Weimin Song, Siyu Wei, Ruifeng Sun, Changsheng Jiang, Guangxuan Han
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High water demand limits carbon sink and transpiration in tall forests during extreme drought in Southwest China Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-04-21 Peipei Xu, Yichen Cao, Wei Fang, Wei He, Zuo Wang, Hua Yang, Lisheng Song
Drought-related forest mortality or dieback is increasing with climate warming. Previous studies have showed canopy height was one of the most important factors that related to forest survival and growth under drought, but the mechanism of this canopy height-dependency is still unclear. Based on standardized precipitation evapotranspiration index (SPEI) data, gross primary productivity (GPP) data and
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Corrigendum to “Exploring unresolved inquiries regarding the meaning of Reynolds averaging and decomposition: A review” [Agricultural and Forest Meteorology 362 (2025) 110364] Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-04-19 Andrew S. Kowalski, Jesús Abril-Gago
The authors regret that the acknowledgments section did not conform to the requirements of the funding agencies, and should read as follows:
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Effect of biochar application on yield, soil carbon pools and greenhouse gas emission in rice fields: A global meta-analysis Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-04-19 Shenglin Wen, Ningbo Cui, Yaosheng Wang, Daozhi Gong, Zhihui Wang, Liwen Xing, Zongjun Wu, Yixuan Zhang
Biochar is applied worldwide as an effective tool for improving rice yield and increasing soil carbon pools while contributing to greenhouse gas emission reduction. However, there is a knowledge gap concerning the effects of biochar application on rice yield, soil carbon pools, and greenhouse gas emissions in rice fields under varying environmental conditions. Therefore, we conducted a comprehensive
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Deciphering the link between SIF, ANPP and RUE dynamics in perennial forage crop mixtures Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-04-19 J. Mattera, J.M. Romero, J.G.N. Irisarri, A.A. Grimoldi, G.B. Cordon
Remote sensing estimation of aerial net primary production (ANPP) is a key challenge in precision agriculture and environmental monitoring. The Monteith model serves as the main conceptual frameworkin pastures.Sun-induced fluorescence (SIF), closely linked to photosynthesis, is a promising candidate for ANPP estimations when radiation use efficiency (RUE) undergoes physiological changes.
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Predicting fire risk in colombia tropical savannas: A multi-scenario approach Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-04-18 Tania Marisol González, Juan David González-Trujillo, María Meza Elizalde, Dolors Armenteras
Climate change amplifies the frequency and severity of fires in tropical regions, particularly in savanna ecosystems. Amidst these changes, we provide the first comprehensive analysis of future fire risks in northern South American tropical savanna ecosystems under diverse climate scenarios. Utilizing a compounded-event framework, we not only assess but also predict fire risks in savannas under varying
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Carbon fluxes controlled by land management and disturbances at a cluster of long-term ecosystem monitoring sites in Central Europe Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-04-18 Thomas Grünwald, Luise Wanner, Uwe Eichelmann, Markus Hehn, Uta Moderow, Heiko Prasse, Ronald Queck, Christian Bernhofer, Matthias Mauder
Terrestrial ecosystems play a crucial role in carbon sequestration and provide vital ecosystem services such as food, energy, and raw materials. Climate change, through rising temperatures, altered precipitation patterns, and extreme events, threatens the carbon sink potential of these ecosystems, with forests and grasslands particularly at risk. Long-term data from flux tower networks offer valuable
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Declining soil evaporation on a drying earth Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-04-17 Han Chen, Yizhao Wei
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
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Divergent responses of canopy and ecosystem water use efficiency to environmental conditions over a decade in a shrubland ecosystem dominated by Artemisia ordosica Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-04-17 Peng Liu, Tianshan Zha, Xin Jia, Yun Tian, Shaorong Hao, Xinhao Li
Canopy and ecosystem water use efficiency (WUET and WUEE) measure the trade-off between carbon gain and water loss at canopy and ecosystem scale respectively, and provide vital information for water resource management in drylands. But the assessment of environmental controls on WUET and WUEE on the decadal scale in drylands remains limited. Here, using eddy covariance (2014–2023) and sap-flow measurements
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Extending genomic prediction to future climates through crop modelling. A case study on heading time in barley Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-04-16 Livia Paleari, Alessandro Tondelli, Luigi Cattivelli, Ernesto Igartua, Ana M. Casas, Andrea Visoni, Alan H. Schulman, Laura Rossini, Robbie Waugh, Joanne Russell, Roberto Confalonieri
Integrating genomic prediction (GP) and biophysical crop models has the potential to support plant breeding in defining adapting strategies to climate change. However, whether this integrated approach can actually broaden the prediction domain to unexplored environments is still unclear. We showed how crop models can extend GP to new environments and capture genotype-specific response to future climate
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A continuous learning framework based on physics-guided deep learning for crop phenology simulation Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-04-16 Junji Ou, Fangzheng Chen, Min Zhang, William David Batchelor, Bin Wang, Dingrong Wu, Xiaodong Ma, Zengguang Zhang, Kelin Hu, Puyu Feng
Process-based models (PBMs) and artificial intelligence models (AIMs) are both widely used to simulate crop growth under various environmental conditions and farm management practices. PBMs offer the advantage of interpretable simulations due to their mechanistic underpinnings, but the latest insights from crop growth mechanism research are often not promptly incorporated into PBMs. Further, while
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Incorporation of needleleaf traits improves estimation of light absorption and gross primary production of evergreen needleleaf forests Agric. For. Meteorol. (IF 5.6) Pub Date : 2025-04-16 Baihong Pan, Xiangming Xiao, Li Pan, Cheng Meng, Peter D. Blanken, Sean P. Burns, Jorge A. Celis, Chenchen Zhang, Yuanwei Qin
The seasonal dynamics and interannual variation of gross primary production (GPP, g C/m2/day) of evergreen needleleaf forest (ENF) are important but most of models underestimate ENF GPP. In this work, we selected three ENF sites with 10+ years of data from the eddy flux towers and investigated temporal dynamics of GPP, climate, and vegetation greenness (as measured by vegetation indices from MODIS