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Water use and mortality risk of four tropical canopy trees with different leaf phenology during the 2016 El Niño drought Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-05-01 Chaoqing Song, Wenfang Xu, Shengnan Chen, Yangyang Fu, Wenping Yuan
The physiological response of plants to water stresses has been a focus in understanding plant-atmosphere feedback. Tropical forests are particularly noteworthy for their remarkable diversity and dynamics. However, a deep understanding of physiological response and associated mortality risk of tropical trees with different leaf phenology under drought is still deficient. In this study, we combined
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CO2 enrichment accelerates alpine plant growth via increasing water-use efficiency Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-30 Jingyu Xia, Yangjian Zhang, Guang Zhao, Zhoutao Zheng, Yixuan Zhu, Yao Chen, Jie Gao, Yuxue Zhang, Osbert Jianxin Sun, Juntao Zhu
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Arbuscular mycorrhizal fungi affect the response of soil CO2 emission to summer precipitation pulse following drought in rooted soils Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-30 Yanchun Liu, Qinglin Li, Qingkui Wang, Qian Zhang, Zhongling Yang, Guoyong Li
Drought and extreme precipitation are projected to occur more frequently as a consequence of climate change, with uncertain implications for soil CO emission. Although studies have revealed the response patterns of soil CO emission to precipitation pulse, the effects of forest plant roots on this relationship after drought are still poorly understood. Here, a field experiment was performed to examine
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The impact of elevated CO2 concentration on photosynthesis, growth and hydraulics of evergreen and deciduous tree seedlings from a subtropical forest in Southwest China Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-27 Pei-Li Fu, Ya Zhang, Jin-Hua Qi, Yong-Jiang Zhang, Guang-You Hao, Patrick M. Finnegan, Qiao-Shun Yan, Ze-Xin Fan
Elevated CO concentration (eCO) in the atmosphere is expected to impact plant water relations and growth in several ecosystems across the globe. However, we still know little about such impact on tree species in subtropical regions. The present study investigated the impact of eCO on leaf gas exchange, nitrogen and phosphorus concentrations, leaf and stem hydraulic conductivity, and growth of seedlings
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A universal canopy gap fraction model for forests with various tree distributions based on Nilson's models considering directional overlaps among crowns Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-26 Jun Geng, Jean-Louis Roujean, Andres Kuusk, Yong Pang, Lili Tu, Teng Zhang, Jingsong Xu, Jing M. Chen
An accurate estimation of forest canopy gap fraction (GF) is a prerequisite for remote sensing retrievals of several associated canopy parameters e.g. leaf area index, fAPAR (fraction of photosynthetically active radiation absorbed by the canopy), clumping index, etc. A universal canopy GF model for forests is required for various tree distribution patterns on flat and slopping terrains, yet existing
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Increasing susceptibility and shortening response time of vegetation productivity to drought from 2001 to 2021 Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-26 Jiwang Tang, Ben Niu, Zhigang Hu, Xianzhou Zhang
Drought generally causes the significant reduction of vegetation productivity. Most studies focus on the vegetation response to gradual water variabilities instead of anomalies in water availability, however, the spatiotemporal patterns of vegetation response to extreme water deficits during drought are still unclear. Here, based on leaf area index (LAI) and solar-induced chlorophyll fluorescence (SIF)
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Response of deep soil water deficit to afforestation, soil depth, and precipitation gradient Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-26 Jingxiong Zhou, Yunqiang Wang, Ruijie Li, Haoran He, Hui Sun, Zixuan Zhou, Yali Zhao, Pingping Zhang, Zimin Li
In semi-arid and semi-humid regions, deep soil water resources are crucial for vegetation restoration to mediate the ecosystem sustainability. Yet it is still limited on understanding soil water deficit (SWD) caused by vegetation restoration and its response to soil depth and precipitation. To obtain a more accurate measurement of regional SWD, we conducted a two-year soil water monitoring to a depth
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Simple calibration of fisheye lenses for hemispherical photography of the forest canopy Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-25 Gastón Mauro Díaz, Mait Lang, Mihkel Kaha
Canopy hemispherical photography (HP) is a technology for vegetation surveying that usually employs consumer-oriented devices. Variations on those devices are caused by technological advances and design. These variations, despite providing the potential for more reliable surveying, make the measurements challenging. The knowledge about how to standardize devices output is available, what is missing
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Wetting-warming climate increases ecosystem carbon use efficiency of Chinese arid and semi-arid ecosystem Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-23 Yihan Sun, Guang Zhao, Zhoutao Zheng, Yixuan Zhu, Juntao Zhu, Yangping Di, Jie Gao, Mengke Cai, Yangjian Zhang
Co-limited by environmental constraints, ecosystems in arid and semi-arid regions (ASARs) are extremely sensitive to climate change. A warmer and wetter climate trend has been observed extensively in ASARs of China, but whether and how the changing climate has influenced ecosystem carbon allocation and balance remains largely unclear. To bridge this knowledge gap, we conducted a comprehensive study
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Simulation of soil temperature under maize: An inter-comparison among 33 maize models Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-23 Bruce A. Kimball, Kelly R. Thorp, Kenneth J. Boote, Claudio Stockle, Andrew E. Suyker, Steven R. Evett, David K. Brauer, Gwen G. Coyle, Karen S. Copeland, Gary W. Marek, Paul D. Colaizzi, Marco Acutis, Sotirios Archontoulis, Faye Babacar, Zoltán Barcza, Bruno Basso, Patrick Bertuzzi, Massimiliano De Antoni Migliorati, Benjamin Dumont, Jean-Louis Durand, Nándor Fodor, Thomas Gaiser, Sebastian Gayler
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Declined benefit of earlier spring greening on summer growth in northern ecosystems under future scenarios Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-22 Zhi Huang, Lei Zhou, Duwei Zhong, Pai Liu, Yonggang Chi
Widespread spring warming and an earlier start of the growing season (SOS) compensated for spring vegetation productivity, simultaneously resulting in reduced retention of accessible nutrition and water resources in subsequent seasons. In this case, however, it is unknown whether the increased summer growth induced by earlier SOS will be sustained. Here, we analyzed the legacy effects of SOS on summer
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Wildfire impacts on the carbon budget of a managed Nordic boreal forest Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-22 Julia Kelly, Natascha Kljun, Zhanzhang Cai, Stefan H. Doerr, Claudio D'Onofrio, Thomas Holst, Irene Lehner, Anders Lindroth, Shangharsha Thapa, Patrik Vestin, Cristina Santín
Wildfire is one of the most important disturbances affecting boreal forests. Most previous research on boreal forest fires has occurred in North American forests which have different fire regimes, tree species and are less intensively managed than their Eurasian counterparts. Recent extreme fire years have highlighted the vulnerability of the Nordic boreal forest to climatic shifts that are increasing
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Beyond assimilation of leaf area index: Leveraging additional spectral information using machine learning for site-specific soybean yield prediction Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-21 Deborah V. Gaso, Dilli Paudel, Allard de Wit, Laila A. Puntel, Adugna Mullissa, Lammert Kooistra
Assimilating external observations of crop state in cropping system models is essential for making spatially explicit predictions of crop variables relevant in precision agriculture. Satellite-based leaf area index (LAI) estimates have been the most frequent variable used as a proxy of actual crop growth. However, additional information beyond LAI, like canopy N content, water content, and structure
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Connectivity of evapotranspiration processes in a Brazilian dryland reservoir using remote sensing Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-20 Italo Sampaio Rodrigues, Gláuber Pontes Rodrigues, Carlos Alexandre Gomes Costa, Christopher Hopkinson, José Carlos de Araújo
Understanding the combined open water reservoir evaporation and riparian vegetation transpiration (evapotranspiration) is important for water resource management in semiarid regions like the Brazilian Dryland region. Existing research has explored reductions in open water evaporation due to riparian vegetation transpiration, but evidence for this interdependence in this region is not well understood
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Seasonal climate forecast-an important tool in managing the risk of extreme weather events in Australia's wheat industry Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-18 Qunying Luo, Li Wen, Tim Cowan, Dale Schilling
This study aims to investigate the benefits of using the Australian Community Climate and Earth-System Simulator-Seasonal Version 2 (ACCESS-S2), a state-of-the-art seasonal climate forecast (SCF) system, to improve contingent decision-making in the Australian wheat industry. Six locations in eastern Australia, three cultivars with varying maturities, and 17 times of sowing (TOS) were considered. Seasonal
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Cotton lands induced cooling effect on land surface temperature in Xinjiang, China Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-17 Jie Dong, Zhouye Pang, Shangrong Lin, Xiuhong Zhang, Zhenglan Xie, Peiyang Ren, Xiao Zhang, Wenping Yuan
In recent years, there has been a dramatic expansion of the cotton planting area in northwest China, largely relying on agricultural irrigation. Irrigation, by altering biophysical factors, affects the energy budget and generates feedback to the local climate. However, the spatial and seasonal patterns of the cooling effects caused by cotton irrigation have been rarely investigated in detail. In this
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Efficient absorption of green light by the canopy of a monoculture coniferous forest Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-16 Huixing Kang, Jiayin Han, Xihan Mu, Jin Chen, Leiming Zhang, Yanhong Tang
Leaves absorb red and blue light more efficiently than green light. Within a spatially heterogeneous canopy, both the sieve effect and the detour effect contribute to an increase in the absorption of green light relative to that of red and blue light. Such an increase in the relative absorption of green light tends to be intensified with increasing canopy depth. Consequently, the absorption of green
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Skill of rice yields forecasting over Mainland Southeast Asia using the ECMWF SEAS5 ensemble prediction system and the WOFOST crop model Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-11 Ubolya Wanthanaporn, Iwan Supit, Winai Chaowiwat, Ronald W.A. Hutjes
This study evaluates the potential use of European Centre for Medium-Range Weather Forecast (ECMWF) ensemble prediction system-5 (SEAS5) to force the WOrld FOod Studies crop model (WOFOST) for predicting rice production in Mainland Southeast Asia (MSEA). The assessment covers a 30-year period (1985–2014) by comparing yield using the SEAS5 weather data with benchmark yield simulation based on reference
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Reducing bias on soil surface CO2 flux emission measurements: Case study on a mature oil palm (Elaeis guineensis) plantation on tropical peatland in Southeast Asia Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-09 Mohd Hadi Akbar Basri, Jon McCalmont, Lip Khoon Kho, Iain P. Hartley, Yit Arn Teh, Elisa Rumpang, Caroline Signori-Müller, Tim Hill
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Surface-layer turbulence associated with a fast spreading grass fire Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-09 Shiyuan Zhong, Melissa Gonzalez-Fuentes, Craig B. Clements, Xindi Bian, Warren E. Heilman, Joseph J. Charney, Mario M. Valero, Adam K. Kochanski, Michael T. Kiefer
A wildland fire experiment was conducted on a 40-ha tall grass prairie in Texas to study fire-atmosphere interactions. The experiment coincided with a Red Flag Warning, signifying specific weather conditions associated with an elevated risk of wildfire ignition and rapid spread. This provided a rare opportunity to observe wildland fire behavior and its impact on atmospheric flows under conditions deliberately
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Micrometeorological estimation of wet canopy evaporation from a cloud forest in central Taiwan Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-09 Taro Nakai, Yen-Jen Lai
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Revealing fine-scale variability in boreal forest temperatures using a mechanistic microclimate model Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-09 Joonas Kolstela, Tuomas Aakala, Ilya Maclean, Pekka Niittynen, Julia Kemppinen, Miska Luoto, Tuuli Rissanen, Vilna Tyystjärvi, Hilppa Gregow, Olli Vapalahti, Juha Aalto
Fine-scale temperatures are important drivers of ecosystem functions and biodiversity in boreal forests. However, accounting for large thermal variability has been difficult due to the coarse spatiotemporal resolution of climate data that is commonly applied in studies of biodiversity and forest health. Here, we use a mechanistic microclimate model and geospatial environmental and weather data to reveal
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Biophysical control of daytime and nighttime soil respiration during growing and non-growing seasons in a temperate deciduous forest Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-08 Yajing Han, Gangsheng Wang, Daifeng Xiang, Shuhao Zhou, Lihua Xiong
Accurate prediction of soil respiration (Rs) under climate change requires a comprehensive understanding of the dominant factors. However, the combined effects of multiple biophysical factors on long-term Rs remain uncertain due to the paucity of direct observations. Here, we developed a new method termed PLSR-lag, which integrates time lags and nonlinearity between variables into the Projection to
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Smaller conifers are more resilient to drought Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-08 J. Julio Camarero, Manuel Pizarro, David S. Gernandt, Antonio Gazol
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Surface-atmosphere energy exchanges and their effects on surface climate and atmospheric boundary layer characteristics in the forest-tundra ecotone in northwestern Canada Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-06 Vincent Graveline, Manuel Helbig, Gabriel Hould Gosselin, Haley Alcock, Matteo Detto, Branden Walker, Philip Marsh, Oliver Sonnentag
The circumpolar forest-tundra ecotone is experiencing rapid changes in vegetation composition and structure. Collectively, these changes modify surface-atmosphere energy exchanges and thus characteristics of the atmospheric boundary layer (ABL). Here, we characterize differences in bulk surface properties and resulting energy balance components using multi-year eddy covariance and supporting measurements
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Compiling an hourly gridded dataset for surface air temperature at 50-m resolution using radiative cooling scale and numerical weather prediction model outputs Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-06 Hideki Ueyama
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Optimizing seasonally variable photosynthetic parameters based on joint carbon and water flux constraints Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-05 Jiye Leng, Jing M. Chen, Wenyu Li, Xiangzhong Luo, Cheryl Rogers, Holly Croft, Xinyao Xie, Ralf M. Staebler
Terrestrial biosphere models (TBMs) often adopt the Farquhar biochemical model coupled with the Ball-Berry stomatal conductance () model to simulate ecosystem carbon and water fluxes. The parameters , representing the sensitivity of to the photosynthetic rate, and , representing the leaf photosynthetic capacity, are two pivotal parameters but the two main sources of uncertainties in TBM simulations
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Noise-induced errors in heat pulse-based sap flow measurement methods Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-04 Spandan Sogala Balaram, Venkatraman Srinivasan
Heat-pulse (HP) methods based on Marshall’s theory have been widely used in sapflow meters to measure plant water uptake since the 1950s. Some of the popular HP methods include (i) the compensation heat pulse (CHP) method, (ii) the T-max method, and (iii) the heat ratio (HR) method. Most other sap flow methods use some variations of these basic methods. Although all these methods are based on the same
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Fire-spotting modelling in operational wildfire simulators based on Cellular Automata: A comparison study Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-04 Marcos López-De-Castro, Andrea Trucchia, Umberto Morra di Cella, Paolo Fiorucci, Antonio Cardillo, Gianni Pagnini
One crucial mechanism in the spread of wildfires is the so-called fire-spotting: a random phenomenon that occurs when embers are transported over large distances. Fire-spotting speeds up the rate of spread and starts new ignitions that can jeopardise firefighting operations. Unfortunately, operational fire-spread simulators may not account for spotting events, thus overlooking the harmful consequences
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China's vegetation restoration programs accelerated vegetation greening on the Loess Plateau Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-04-02 Xianlei Fan, Ying Qu, Jing Zhang, Edith Bai
The vegetation greening on the Loess Plateau, China, over recent decades, has been primarily driven by a series of vegetation restoration programs (VRPs) and other natural environmental changes (including climate change, rising atmospheric CO concentration, and nitrogen deposition, etc.). However, accurate determination of the contributions of natural environmental change and the VRPs to this greening
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Precipitation change, functional traits and stand structure jointly control the spatiotemporal variability of radial growth in alpine treeline ecotones across northern China Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-30 Xuemei Wang, Penghong Liang, Liping Li, Xiangping Wang
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Atmospheric dryness removes barriers to the development of large forest fires Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-30 Jane G. Cawson, Luke Collins, Sean A. Parks, Rachael H. Nolan, Trent D. Penman
Large forest fires have far-reaching impacts on the environment, human health, infrastructure and the economy. Forest fires become large when all forest types across a landscape are dry enough to burn. Mesic forests are the slowest to dry and can act as a barrier to fire growth when they are too wet to burn. Therefore, identifying the factors influencing fire occurrence in mesic forests is important
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Tornado damage in forest ecosystems of the United States Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-28 Holly L. Munro, Craig Loehle, Bronson P. Bullock, Dan M. Johnson, James T. Vogt, Kamal J.K. Gandhi
Changing climate dynamics have been forecasted worldwide, including in some regions of the United States (U.S.), leading to potentially significant damage to forest ecosystems. To better understand how natural disturbances may affect forests, we analyzed trends in frequency and area of tornado damage for 1995–2021, damage area within forested ecosystems, and assessed data limitations for the contiguous
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Modeling net ecosystem exchange of CO2 with gated recurrent unit neural networks Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-28 Huimin Zou, Jiquan Chen, Xianglan Li, Michael Abraha, Xiangyu Zhao, Jiliang Tang
The complex forcing mechanisms of biophysical drivers on ecosystem productivity, as well as some unknown relationships, stipulates the application of artificial intelligence techniques in modeling the ecosystem carbon cycle. In particular, various deep learning algorithms have been successfully applied to comprehend temporal relationships, though some issues regarding capturing temporal features for
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Corrigendum to “Energy availability and leaf area dominate control of ecosystem evapotranspiration in the southeastern U.S” [Agriculture and Forest Meteorology Volume 349 (2024)/109960] Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-27 Maricar Aguilos, Ge Sun, Ning Liu, Yulong Zhang, Gregory Starr, Andrew Christopher Oishi, Thomas L O'Halloran, Jeremy Forsythe, Jingfeng Wang, Modi Zhu, Devendra Amatya, Benju Baniya, Steve McNulty, Asko Noormets, John King
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Energy partitioning over an irrigated vineyard in arid northwest China: Variation characteristics, influence degree, and path of influencing factors Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-25 Huiling Chen, Yongtai Zhu, Gaofeng Zhu, Yang Zhang, Liyang He, Cong Xu, Kun Zhang, Jing Wang, Ramamoorthy Ayyamperumal, Haochen Fan, Boyuan Wang
In this study, a two-year experiment in an irrigated vineyard was conducted to investigate the variations in energy fluxes (net radiation, ; latent heat flux, LE; sensible heat flux, ; and soil heat flux, ) and quantify the influence of arid advection and environmental factors (vapor pressure deficit (VPD), , air temperature, wind speed, precipitation, and volumetric soil water content) on energy partitioning
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Tree stem methane emissions: Global patterns and controlling factors Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-23 Junjun Wu, Hong Zhang, Xiaoli Cheng, Guihua Liu
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Summer heat induced the decline of Pinus taiwanensis forests at its southern limit in humid Subtropical China Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-23 Feifei Zhou, Zhipeng Dong, Keyan Fang, Dongliang Cheng, Hui Tang, Tinghai Ou, Fen Zhang, Deliang Chen
Warming-induced aridity has caused forest decline and mortality for many sites with water-limiting conditions. However, equatorward rear-edge trees at the Daiyun Mountains in humid subtropical China are also suffering die-backs and decline, but the roles played by heat or drought stress still remain unclear. Here, we compared the tree-ring radial width, anatomical features, stable carbon isotope (δC)
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Improving parameterization of an evapotranspiration estimation model with eddy covariance measurements for a regional irrigation scheduling program Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-23 Ammara Talib, Ankur R. Desai, Jingyi Huang, Jonathan Thom, John C. Panuska, Paul.C. Stoy
Actual evapotranspiration (ET) is an essential variable in linking energy cycles, carbon, and water, yet challenging to measure. Inputs uncertainty and deficiencies in the key elements of hydrologic models are fundamental challenges for optimizing model performance. Furthermore, the performance of land surface model-based ET, reanalysis, and remote sensing products varies with spatiotemporal scales
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Development of a probabilistic agricultural drought forecasting (PADF) framework under climate change Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-23 Yizhuo Wen, Yifan Fei, Yurui Fan, Aili Yang, Bingqing Wang, PangPang Gao, Daniel Scott
Drought has significant impacts on human survival and social development, particularly on crop production. Agricultural drought is the most direct consequence of drought on crops. In this study, a Probabilistic Agricultural Drought Forecasting (PADF) framework was developed to employ the Ensemble Bayesian Least Square Support Vector Machine (EBLSSVM) method for bias correction in precipitation and
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Retention forestry amplifies microclimate buffering in boreal forests Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-21 Shengmin Zhang, Jörgen Sjögren, Mari Jönsson
Retention forestry is increasingly adopted as an alternative to clearcutting practices and involves retaining structural and compositional complexity (e.g., living and dead trees) from preharvest to postharvest. Past studies have examined the role of retention forestry in supporting various ecosystem functions and biodiversity, whilst its microclimate buffering capacity has been largely neglected.
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Optimal representation of spring phenology on photosynthetic productivity across the northern hemisphere forests Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-20 Jing Fang, Herman H. Shugart, Leibin Wang, James A. Lutz, Xiaodong Yan, Feng Liu
Accurate simulation of the onset of spring is crucial for predicting the photosynthetic productivity of forest ecosystems. Nonetheless, the potential of phenology simulations on predictions of forest gross primary productivity (GPP) remains poorly understood, with previous studies generally focused on predicting phenology dates themselves or on limited scales. Here, we constructed a framework through
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Methane emissions from animal agriculture: Micrometeorological solutions for challenging measurement situations Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-19 Johannes Laubach, Thomas K. Flesch, Christof Ammann, Mei Bai, Zhiling Gao, Lutz Merbold, David I. Campbell, Jordan P. Goodrich, Scott L. Graham, John E. Hunt, Aaron M. Wall, Louis A. Schipper
Methane (CH) is the second-most important greenhouse gas in terms of its total contribution to global warming, and animal agriculture accounts for a significant share of its emissions. This article discusses the specific challenges of measuring CH emissions from systems of animal production, and the solutions that micrometeorological methods can offer. The methods considered include mass-budget methods
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A brief history of the thermal IR-based Two-Source Energy Balance (TSEB) model – diagnosing evapotranspiration from plant to global scales Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-19 Martha C. Anderson, William P. Kustas, John M. Norman, George T. Diak, Christopher R. Hain, Feng Gao, Yun Yang, Kyle R. Knipper, Jie Xue, Yang Yang, Wade T. Crow, Thomas R.H. Holmes, Hector Nieto, Radoslaw Guzinski, Jason A. Otkin, John R. Mecikalski, Carmelo Cammalleri, Alfonso T. Torres-Rua, Xiwu Zhan, Li Fang, Paul D. Colaizzi, Nurit Agam
Thermal infrared (TIR) remote sensing of the land-surface temperature (LST) provides an invaluable diagnostic of surface fluxes and vegetation state, from plant and sub-field scales up to regional and global coverage. However, without proper consideration of the nuances of the remotely sensed LST signal, TIR imaging can give poor results for estimating sensible and latent heating. For example, sensor
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Explainable machine learning for predicting stomatal conductance across multiple plant functional types Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-18 Srishti Gaur, Darren T. Drewry
Stomatal conductance (g) is a key leaf-level function controlling water, carbon, and energy exchange between vegetation and the surrounding environment. Conventionally, semi-empirical models have been used to model g, but these models require re-parameterization as ecosystems undergo phenological changes over the growing season. In contrast, machine learning (ML) models offer a potential path to overcome
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Discrepancies in methodologies to determine chill requirements in temperate fruit trees constrain guidelines for future plantings in a global warming context Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-16 Alvaro Delgado, Jose A. Egea, Eduardo Fernandez, José Antonio Campoy, José Egea, Federico Dicenta, David Ruiz
Temperate fruit trees enter a dormant state and resume growth development once cultivar-specific chill requirements (CR) are fulfilled. Sustainable fruit production requires crucial knowledge of the CR of the varieties to predict the adaptability of crops to future climate conditions. Experimental methodologies based on exposing shoots to forcing conditions, and statistical methods based on analysing
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Environmental and biological controls on the interannual variations of evapotranspiration in a natural oak forest Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-16 Xiaodong Niu, Zhicheng Chen, Yong Pang, Baoliang Niu, Chongyu Yan, Shirong Liu
Investigating the interannual variation (IAV) of evapotranspiration (ET) is important for understanding the water cycle in forest ecosystems. However, there has been little research on interannual variability of ET in warm-temperate forests under a changing environment. In this study, 6-year eddy covariance data (2017–2022) in a warm-temperate natural oak forest in central China were used to examine
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Organ-specific rest and quiescence in response to chilling and forcing in subtropical Torreya grandis trees Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-16 Rui Zhang, Zhijun Li, Liang Liang, Jinbin Zheng, Fucheng Wang, Lei Chen, Heikki Hänninen, Jiasheng Wu
Winter rest and chilling accumulation play a crucial role in regulating the leaf-out and flowering of extratropical woody plants. Still, there is a lack of understanding regarding the potential rest condition of overwintered immature cones of coniferous trees and how the dormancy of different organ types responds to environmental cues. To address this gap, we conducted a unique experimental design
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The clockwork of spring: bud dormancy timing as a driver of spring leaf-out in temperate deciduous trees Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-15 Andrey V. Malyshev, Ilka Beil, Constantin M. Zohner, Romain Garrigues, Matteo Campioli
The initiation of spring leaf-out is a critical determinant of the growing season in trees, affecting primary production and species interactions in forest ecosystems. Variations in the timing of leaf-out among tree species are linked to their differential progression of bud dormancy. However, identifying reliable markers for bud dormancy has been challenging, leaving the connection between the timing
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Status of crop water use efficiency evaluation methods: A review Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-14 Tianxue Wang, Shikun Sun, Yali Yin, Jinfeng Zhao, Yihe Tang, Yubao Wang, Fei Gao, Xiaobo Luan
Due to the impacts of climate change and human activities on scarcity and uneven spatial distribution of water resources, water use efficiency (WUE) has gained significant attention. Currently, there is a lack of research on estimating WUE with higher accuracy and stronger mechanism on the large regional scale. This study systematically reviewed the status and hotspots from an amount of studies and
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Common agronomic adaptation strategies to climate change may increase soil greenhouse gas emission in Northern Europe Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-13 Diego Grados, David Kraus, Edwin Haas, Klaus Butterbach-Bahl, Jørgen Eivind Olesen, Diego Abalos
Climate change poses a significant threat to agriculture, highlighting the need for adaptation strategies to reduce its impacts. Agronomic adaptation strategies, such as changes in planting dates, fertilization, and irrigation, might sustain crop yield. However, their impact on soil greenhouse gas (GHG) emission is unknown under future climate scenarios. Using the LandscapeDNDC model, we assessed the
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Assessing the impact of weather forecast uncertainties in crop water stress model predictions Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-13 Bachar Tarraf, François Brun, Laure Raynaud, Sébastien Roux, Yulin Zhang, Loic Davadan, Olivier Deudon
Since agriculture is highly exposed to weather-related risks such as drought constraints, Decision Support Tools (DSTs) are now frequently used in irrigation management. The current use of DSTs mainly relies on deterministic weather forecasts that do not account for the associated weather uncertainties. Few irrigation DST users take uncertainty into consideration by utilizing an ensemble of historical
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Evaluating methods for measuring the leaf area index of encroaching shrubs in grasslands: From leaves to optical methods, 3-D scanning, and airborne observation Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-12 E. Greg Tooley, Jesse B. Nippert, Zak Ratajczak
Leaf area index (LAI) is a key variable describing ecosystem structure and influencing the exchange of carbon, water, and energy. LAI is often evaluated with indirect methods. However, the accuracy of indirect measurements can vary with canopy structure and is not always generalizable across ecosystems. Previous research has characterized the accuracy of indirect methods for woody plants in forest
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Plastic film mulching increases crop yields and reduces global warming potential under future climate change Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-11 Li Zhang, Huihui Wei, Kaiping Zhang, Zhansheng Li, Feng-Min Li, Feng Zhang
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Variations in water conservation function and attributions in the Three-River Source Region of the Qinghai–Tibet Plateau based on the SWAT model Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-10 Mei Li, Zhenhua Di, Yunjun Yao, Qian Ma
The water conservation function is one of the important ecosystem services.
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Multimodel ensemble estimation of Landsat-like global terrestrial latent heat flux using a generalized deep CNN-LSTM integration algorithm Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-09 Xiaozheng Guo, Yunjun Yao, Qingxin Tang, Shunlin Liang, Changliang Shao, Joshua B. Fisher, Jiquan Chen, Kun Jia, Xiaotong Zhang, Ke Shang, Junming Yang, Ruiyang Yu, Zijing Xie, Lu Liu, Jing Ning, Lilin Zhang
Accurate estimates of high-spatial-resolution global terrestrial latent heat flux (LE) from Landsat data are crucial for many basic and applied research. Yet current Landsat-derived LE products were developed using single algorithm with large uncertainties and discrepancies. Here we proposed a convolutional neural network-long short-term memory (CNN-LSTM)-based integrated LE (CNN-LSTM-ILE) framework
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Energy availability and leaf area dominate control of ecosystem evapotranspiration in the southeastern U.S. Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-07 Maricar Aguilos, Ge Sun, Ning Liu, Yulong Zhang, Gregory Starr, Andrew Christopher Oishi, Thomas L O'Halloran, Jeremy Forsythe, Jingfeng Wang, Modi Zhu, Devendra Amatya, Benju Baniya, Steve McNulty, Asko Noormets, John King
Evapotranspiration (ET) links water, energy, and carbon balances, and its magnitude and patterns are changing due to climate and land use change in the southeastern U.S. Quantifying the environmental controls on ET is essential for developing reliable ecohydrological models for water resources management. Here, we synthesized eddy covariance data from 24 AmeriFlux sites distributed across the southeastern
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Projected effects of climate change and forest management on carbon fluxes and biomass of a boreal forest Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-07 Md. Rafikul Islam, Anna Maria Jönsson, John Bergkvist, Fredrik Lagergren, Mats Lindeskog, Meelis Mölder, Marko Scholze, Natascha Kljun
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Divergent controls of exchangeable calcium and iron oxides in regulating soil organic carbon content across climatic gradients in arid regions Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-07 Zhufeng Wang, Xin Jing, Litao Lin, Yugang Wang, Wenting Feng
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Errors in temporal disaggregation of temperature can lead to non-negligible biases in agroecosystem risk assessment Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-05 Supriya Savalkar, Md. Redwan Ahmad Khan, Bhupinderjeet Singh, Matt Pruett, R. Troy Peters, Claudio O Stöckle, Sean E. Hill, Kirti Rajagopalan
Models are crucial for simulating complex systems and decision-making, but they have uncertainties that must be characterized and understood. One uncertainty that has been overlooked in agroecosystem assessments is that arising from the temporal disaggregation of temperature and solar radiation. Our study used data from an agricultural weather station network to investigate (a) the errors associated