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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
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Impacts of climate change on allergenic pollen production: A systematic review and meta-analysis Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-05 Fateme Mousavi, Jose Oteros, Youcef Shahali, Paloma Carinanos
Climate change has been identified as a major driver of alterations in pollen production, with potential implications for allergenic diseases and ecosystems. This systematic review and meta-analysis examine the impacts of global warming on the Annual Pollen Integral (APIn), a measure of pollen production, across multiple plant species. We conducted a comprehensive literature review and selected studies
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Post-fire soil greenhouse gas fluxes in boreal Scots pine forests–Are they affected by surface fires with different severities? Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-05 Kajar Köster, Juliana Kohli, Henrik Lindberg, Jukka Pumpanen
Although forest fires are one of the main natural disturbance types in boreal forests, there is limited information regarding surface fires (dominant in Northern Europe), and how surface fires of different severities could affect post-fire soil greenhouse gas emissions. The results of our study show that fire severity, time since fire and post-fire changes in soil temperature were the main factors
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Climate warming advances phenological sequences of Aesculus hippocastanum Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-04 Xiaobo Li, Ruqin Fan, Xiaoying Pan, Haibin Chen, Qianqian Ma
Warming-induced shifts in plant phenology have been frequently reported in recent decades. Previous studies primarily focused on isolated phenological events; however, the entire phenological sequences of a given species were rarely examined simultaneously, limiting our knowledge about aggregate life history response to climate warming. Here, using 210,000 in situ phenological observations across 2493
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Harvest residues: A relevant term in the carbon balance of croplands? Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-02 Joachim Ingwersen, Arne Poyda, Pascal Kremer, Thilo Streck
Over the past two decades, major efforts have been made to quantify the extent to which and under what conditions croplands are sources or sinks for carbon. For this purpose, the net carbon stock change of the study site is typically quantified based on net CO fluxes monitored with an eddy covariance or chamber system, on measured C import by organic fertilizer and C export by harvest. While in cropland
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Differential advances in budburst timing among black spruce, white spruce and balsam fir across Canada Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-02 Diego S. Podadera, Lorena Balducci, Sergio Rossi, Fabrizio Cartenì, Valérie Néron, Rémi Saint-Amant, Stefano Mazzoleni, Jacques Régnière, Eric R.D. Moise, Joseph J. Bowden, Jean-Noël Candau, Alain Dupont, Luke Amos-Binks, Richard Berthiaume, Drew Carleton, Sara Edwards, Robert C. Johns, Rory L. McIntosh, Patrick Perreault, Brian Poniatowski, Fiona Ross, Mike Undershultz, Caroline Whitehouse, Annie
Budburst is a pivotal event in plant life, representing a crucial response to seasonal meteorological shifts. Boreal tree species exhibit species-specific phenologies, and the rate of phenological changes under warming conditions may differ among these species. In this study we aim to investigate the timing of budburst in three coniferous species [Balsam fir (), black spruce () and white spruce ()
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Climate change reduces agricultural total factor productivity in major agricultural production areas of China even with continuously increasing agricultural inputs Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-03-01 Hong Zhou, Fulu Tao, Yi Chen, Lichang Yin, Yicheng Wang, Yibo Li, Shuai Zhang
Agricultural total factor productivity (ATFP) is a crucial measure that determines the aggregate agricultural output per unit of aggregate input. ATFP is sensitive to climate change; however, the impacts of climate change on ATFP have rarely been investigated despite its significance. In this study, we employ the Malmquist index methods to calculate the ATFP from 1981 to 2019 based on detailed census
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Energy partitioning is linked to cloudiness in plantation forests in eastern China Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-02-29 Peirong Liu, Xiaojuan Tong, Jinsong Zhang, Jun Li, Jingru Zhang, Peiyang Yu, Yu Zhou
Cloudiness influences gross primary productivity and evapotranspiration in terrestrial ecosystems by increasing diffuse radiation and improving the photosynthesis of shaded leaves. However, the effect of cloudiness on energy partitioning in terrestrial ecosystems is not well understood. Using latent heat (LE) and sensible heat (H) datasets observed by the eddy covariance systems and meteorological
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A fast-response model of turbulence and passive scalar transport in row-organized canopies Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-02-28 Lucas Ulmer, Fabien Margairaz, Walter F. Mahaffee, Rob Stoll
For simulation-intensive studies of aerial crop disease transport such as source term estimation, fast and accurate physics models are required. In crops planted in rows with sparse aisles like vineyards and other trellised crops (so-called “row-organized canopies” or ROCs), the impact of the vegetation structure on the flow limits the validity of the simplest models (i.e., Gaussian plumes). The present
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Relationship between extreme climate and vegetation in arid and semi-arid mountains in China: A case study of the Qilian Mountains Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-02-22 Lanya Liu, Xiaohua Gou, Xuejia Wang, Meixue Yang, Liya Qie, Guojin Pang, Sihao Wei, Fen Zhang, Yijia Li, Qi Wang, Tao Wang
Understanding how extreme climates affect vegetation is of great importance for the protection of ecosystems. However, most of previous studies focused on the impact of average climate change on vegetation, and few on the effects of extreme climate on vegetation change. Such studies are particularly scare in arid and semiarid mountainous areas where vegetation is relatively homogenous and ecosystems
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On the sensitivity of fire-weather climate projections to empirical fire models Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-02-22 Kevin J. Tory, Miguel G. Cruz, Stuart Matthews, Musa Kilinc, W. Lachlan McCaw
Empirical fire models, designed for public messaging of fire danger, prescribed-burning decision making, resource management, and fire-spread-rate prediction, are often used in climate studies to investigate potential changes in recent and future wildfires and prescribed burning opportunities. Prior studies have shown that some of these models are more accurate than others, which prompts the question:
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Direct characterization of deep soil water depletion reveals hydraulic adjustment of apple trees to edaphic changes Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-02-19 Xia Wang, Yanli Fan, Meifang Yan, Ze Tao, Dong He, Guangyuan Du, Huijie Li, Esteban Jobbagy, Min Li, Bingcheng Si
Deep soil water is important for trees to survive droughts in arid and semiarid regions, but often irreversibly decrease as tree age due to limitations in soil infiltration rates and precipitation. How adaptable is the hydraulic system of trees undergoing the depletion of deep soil moisture reserves? To answer this question, we examined 12 traits characterizing the hydraulic structure of apple tree
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Unprecedented wildfires in Korea: Historical evidence of increasing wildfire activity due to climate change Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-02-16 Dong Yeong Chang, Sujong Jeong, Chang-Eui Park, Hoonyoung Park, Jaewon Shin, Yeon Bae, Hayoung Park, Chan Ryul Park
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AmeriFlux: Its Impact on our understanding of the ‘breathing of the biosphere’, after 25 years Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-02-16 Dennis Baldocchi, Kim Novick, Trevor Keenan, Margaret Torn
For over two decades, the AmeriFlux network has quantified the breathing of the biosphere, as defined by measuring the flux densities of carbon dioxide and water vapor exchange between ecosystems and the atmosphere. The network includes natural and managed ecosystems that span broad climatic and ecological gradients. In this review, we provide an overview of key discoveries by this network and highlight
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Drought resistance of major tree species in the Czech Republic Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-02-16 Yumei Jiang, William Marchand, Miloš Rydval, Radim Matula, Pavel Janda, Krešimir Begović, Dominik Thom, Alexandre Fruleux, Arne Buechling, Jakob Pavlin, Juliana Nogueira, Martin Dušátko, Jakub Málek, Tomáš Kníř, Antonín Veber, Miroslav Svoboda
In recent decades, extreme droughts have affected Central Europe, altering forest structure and function with significant socioeconomic consequences. Most Central European forests are used for timber production and provide various ecosystem services and habitats for forest-dwelling species. The extent to which recent weather extremes have impacted these forests was poorly quantified. Furthermore, the
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Optimizing angular resistant spectral indices to estimate leaf biochemical parameters from multi-angular spectral reflection Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-02-14 Dongjie Ran, Zhongqiu Sun, Shan Lu, Kenji Omasa
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Structural changes caused by selective logging undermine the thermal buffering capacity of tropical forests Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-02-12 Erone Ghizoni Santos, Martin Svátek, Matheus Henrique Nunes, Juha Aalto, Rebecca A. Senior, Radim Matula, Roman Plichta, Eduardo Eiji Maeda
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Responses of plant biomass and biomass allocation to experimental drought: A global phylogenetic meta-analysis Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-02-08 Gaobo Li, Minyue Si, Caiyi Zhang, Zhe Shen, Sirui Wang, Junjiong Shao
Divergent responses of plant biomass to drought were found across hundreds of manipulative experiments. While many researchers have explored the influences of plant functional types (PFTs) and climatic conditions, few focus on the importance of evolutionary history. Here we compiled a global dataset of the responses of plant biomass and biomass allocation to the experimental drought from 281 studies
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The positive impact of extreme heat on vegetation growth in Northeast Asia Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-02-08 Duqi Liu, Jihao Zhang, Lujie Zhao, Shuqing Zhao, Guishan Cui
The intensity and frequency of extreme climatic events have markedly increased in recent decades, leading to remarkable abnormal changes in terrestrial ecosystems. Understanding how vegetation growth responds to these climate extremes is crucial, yet inherently complex. We used two satellite-based vegetation indices to assess vegetation growth: the Normalised Difference Vegetation Index (NDVI) and
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Quantification of wheat water footprint based on data assimilation of remote sensing and WOFOST model Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-02-06 Jing Xue, Shikun Sun, Li Luo, Zihan Gao, Yali Yin, Jinfeng Zhao, Chong Li, Yubao Wang, Pute Wu
Water scarcity in agricultural production has emerged as a significant constraint to food security in China. To improve agricultural output and ensure its stability, it is imperative to assess the agricultural water use efficiency. The crop water footprint (WF) is an effective tool to assess the type, amount, and efficiency of agricultural water usage. However, existing quantitative studies on the
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Constitutive resin ducts formation in Pinus sylvestris responds to water availability and temperature in southern Siberia Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-02-05 Kseniia I. Khotcinskaia, Alberto Arzac, Alexander V. Kirdyanov, Maria A. Tabakova, José M. Olano
Constitutive resin ducts (RDs) are a distinctive anatomical trait in the xylem of most conifers, playing a clear defensive role against biotic and abiotic factors. Although resin duct dynamics are well documented in Mediterranean environments, less attention has been dedicated to continental climate. In this study, we evaluated the occurrence and climate response of resin ducts in Pinus sylvestris
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Integrating data assimilation, crop model, and machine learning for winter wheat yield forecasting in the North China Plain Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-02-03 Huimin Zhuang, Zhao Zhang, Fei Cheng, Jichong Han, Yuchuan Luo, Liangliang Zhang, Juan Cao, Jing Zhang, Bangke He, Jialu Xu, Fulu Tao
Timely and reliable regional crop yield forecasting before harvest is critical for managing climate risk, adjusting agronomic management, and making food trade policy. Although various methods exist for crop yield forecasting, including process-based crop models and machine learning techniques, the potential of integrating these methods for early-season yield forecasts has not been well investigated
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Decadal variation and trend of boundary layer height and possible contributing factors in China Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-02-03 Congcong Li, Xuanze Zhang, Jianping Guo, Qiang Yu, Yongqiang Zhang
Observational evidence has indicated a significant decline in the planetary boundary layer height (BLH) in China since the 2000s. However, the specific factors contributing to this decline have remained unclear. This study uses an approach based on partial derivative equation to investigate the individual and combined impacts of six potential land surface factors (sensible heat flux, latent heat flux
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Meteorological control on snow depth evolution and snowpack energy exchanges in an agro-forested environment by a measurement-based approach: A case study in Sainte-Marthe, Eastern Canada Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-02-02 Vasana Dharmadasa, Christophe Kinnard, Michel Baraër
A lack of field studies measuring snow mass and energy balance in open and forest patches hinders the holistic understanding of snowpack dynamics and makes it difficult to validate modeling efforts in agro-forested environments. In such context, this study explores the energy exchanges within snowpacks in an agro-forested environment in eastern Canada, with a focus on measuring energy fluxes and assessing
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Spatiotemporal expansion and methane emissions of rice-crayfish farming systems in Jianghan Plain, China Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-29 Haodong Wei, Zhiwen Cai, Xinyu Zhang, Jingya Yang, Junjun Cao, Ke Meng, Liangzhi You, Hao Wu, Qiong Hu
The rice-crayfish field (i.e., RCF), a recently emerged rice cultivation pattern, has experienced remarkable growth in China over the last decade due to its significant socioeconomic advantages. However, the impacts of expanding RCF areas on the regional-scale ecological environment, particularly concerning methane (CH4) emissions, remain unclear. A major obstacle in addressing this knowledge gap is
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A new approach combining microwave heat pulse and infrared thermography for non-invasive portable sap flow velocity measurement Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-29 Hervé Louche, Annick Penarier, Philippe Nouvel, Bruno Clair, Christophe Coillot, Frédéric C. Do
Xylem sap flow measurement is a key method to quantify plant water use and assess the responses to environmental conditions and climatic change. However, available methods are generally invasive and of limited portability. This paper presents a non-invasive approach called TIMFLOW that combines microwave heat pulse and infrared thermography, while having a high portability and versatility potential
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Analysis of different existing measurement-based methods and a new approach for frost probability detection Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-25 Branimir Omazić, Mislav Anić, Maja Telišman Prtenjak, Marko Kvakić, Lucija Blašković
Due to the earlier start of phenological cycles among fruit trees, frost represents one of the most notable hazards for agriculture. There is no unique method for forecasting frost, and different methods for describing frost under present and future climate conditions can be found in the literature. Often these methods are applied in a certain area without prior control. Five such frost detection methods
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Boreal forest tree growth and sap flow after a low-severity wildfire Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-25 Paulina Dukat, Julia Kelly, Stefan H. Doerr, Johannes Edvardsson, Teemu S. Hölttä, Irene Lehner, Anders Lindroth, Cristina Santín, Natascha Kljun
Boreal forests are exposed to larger and more frequent fires due to climate change, with significant consequences for their carbon and water balances. Low-severity fires (trees charred but surviving) are the most common fire regime in the Eurasian boreal forest, but we still lack understanding on how they impact tree functioning. This study focused on the dynamics of tree transpiration and stem growth
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The stomatal traits that conserve water without compromising grapevine carbon gain depend on climate change severity and wine-growing region Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-22 Rami Albasha, Megan K. Bartlett
Winegrapes are a valuable ($70 billion) commodity, but climate change is predicted to reduce grape yield and quality by exacerbating water and heat stress. Developing stress-resistant varieties would mitigate these impacts, but the trait values to target can be obscured by complex relationships between traits and plant performance. Stomatal traits mediate trade-offs between increasing gas exchange
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Improving the estimation of atmospheric water vapor pressure using interpretable long short-term memory networks Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-22 B. Gao, E.T. Coon, P.E. Thornton, D. Lu
Atmospheric water vapor pressure is an essential meteorological control on land surface and hydrologic processes. As it is not as frequently observed as other meteorologic conditions, it is often inferred through the August–Roche–Magnus formula by simply assuming dew point and daily minimum temperatures are equivalent or by empirically correlating the two temperatures using an aridity correction. The
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Responses of canopy transpiration and conductance to different drought levels in Mongolian pine plantations in a semiarid urban environment of China Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-20 Shengnan Chen, Zhiqiang Zhang, Zuosinan Chen, Hang Xu, Jianglin Li
Although tree transpiration and conductance responding to soil drought are increasingly investigated in urban settings, the increasingly important effects of atmospheric drought (i.e., high vapor pressure deficit, VPD) and combined drought (high VPD and soil drought) on urban tree water use remain unclear. These drought events are becoming more frequent and severe with climate change, posting a greater
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Spatiotemporal distribution of sudden oak death in the US and Europe Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-21 Xuechun Kang, Wei Chen, Siliang Li, Tiejun Wang, Le Yu, Ramesh P. Singh
Sudden Oak Death (SOD) is a devastating forest disease caused by , leading to rapid branch and leaf wilting. This study analyzed SOD data from various sources to study the spatiotemporal distribution of this pathogen globally. The spatial autocorrelation analysis shows that seven counties in the US have positive spatial correlations with high clustering values, whereas, the other six counties have
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Mechanistically mapping near-surface temperature in the understory of temperate forests: A validation of the microclima R package against empirical observations Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-18 Théo Brusse, Jonathan Lenoir, Nicolas Boisset, Fabien Spicher, Frédéric Dubois, Gaël Caro, Ronan Marrec
Temperature conditions matter for ground-dwelling biodiversity. However, contrary to ambient-air temperatures as measured by weather stations, there is no global network available yet for measuring microclimate temperatures as perceived by organisms living near the ground. To predict microclimate temperatures near the ground, mechanistic models have been recently developed. Here, we aim at testing
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Drought-related wildfire accounts for one-third of the forest wildfires in subtropical China Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-16 Jianpeng Yin, Binbin He, Chunquan Fan, Rui Chen, Hongguo Zhang, Yiru Zhang
The threat of wildfires to human safety and ecosystem services is widely known to increase due to climate change characterized by drought. In subtropical China, seasonal drought during the non-monsoon period contributes to increase of fire risk. However, both the relationship between drought and wildfire and the extent of drought effect are poorly understood. Based on satellite active fire detections
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Spatial-temporal heterogeneity of spring phenology in boreal forests as estimated by satellite solar-induced chlorophyll fluorescence and vegetation index Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-16 Dandan Shi, Yuan Jiang, Wenqing Li, Yan Wen, Fang Wu, Shoudong Zhao
Changes in spring phenology in boreal forests around the subarctic region have a profound impact on the global carbon and water cycles. To date, photosynthesis and greenness dynamics in evergreen coniferous forests have been found to be decoupled on a large scale, but whether the spatial heterogeneity of seasonal dynamics in boreal forests is coupled in various datasets remains unclear. Therefore,
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Effects of changes in climatic means, variability, and agro-technologies on future wheat and maize yields at 10 sites across the globe Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-16 Gennady Bracho-Mujica, Reimund P. Rötter, Markus Haakana, Taru Palosuo, Stefan Fronzek, Senthold Asseng, Chen Yi, Frank Ewert, Thomas Gaiser, Belay Kassie, Kirsten Paff, Ehsan Eyshi Rezaei, Alfredo Rodríguez, Margarita Ruiz-Ramos, Amit K. Srivastava, Pierre Stratonovitch, Fulu Tao, Mikhail A. Semenov
To address the rising global food demand in a changing climate, yield gaps (Y), the difference between potential yields under irrigated (Y) or rainfed conditions (Y) and actual farmers’ yields (Y), must be significantly narrowed whilst raising potential yields. Here, we examined the likely impacts of climate change (including changes in climatic variability) and improvements in agricultural technologies
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Ecosystem carbon fluxes are tree size-dependent in an Amazonian old-growth forest Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-16 Norbert Kunert, Luiza Maria T. Aparecido
Tropical forests are important carbon sinks as they store huge amounts of carbon and are thus essential players within the global carbon cycle. While good estimates of the gross and net primary productivity (GPP and NPP, respectively) of tropical forests exist, we still lack a cohesive study on the contribution of different tree sizes to the overall forest carbon fluxes and their seasonal variation
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AFM Special Issue Summary - Integrating Surface Flux with Boundary Layer Measurements Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-15 C.L. Faiola, M. Helbig, Y. Zhang, E.R. Beamesderfer, Z.M. Sanchez-Mejia, A.M. Yáñez-Serrano, A.D. Richardson
To help bridge science topics related to land-atmosphere interactions, we organized a virtual special issue in this journal (Agricultural and Forest Meteorology [AFM]) entitled, “Land-Atmosphere Interactions: Integrating Surface Flux with Boundary Layer Measurements.” The motivation for the special issue was driven by existing disciplinary barriers between research areas that all address land-atmosphere
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Weakening Indian monsoon favors vegetation growth in humid but not in semi-arid ecosystems Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-10 Lijun Deng, Yang Fu, Xiaoxia Li, Zhuosong Geng, Jingtian Zhang, Junhe Chen, Dou Li, Jian Sun, J.Julio Camarero, Eryuan Liang
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Carbon, water and energy fluxes of terrestrial ecosystems in China Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-09 Gui-Rui Yu, Zhi Chen, Ying-Ping Wang
Observations across large environmental gradient over two decades by ChinaFLUX provide robust support to quantifying the spatiotemporal variations of carbon, water and energy fluxes, and their response to environmental changes across sites, biomes and regions. The Special Issue addressed questions of terrestrial ecosystems carbon, water and energy fluxes changes, the key drivers and dominant mechanisms
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Radiative forcing of methane emission completely offsets net carbon dioxide uptake in a temperate freshwater marsh from the present to future Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-10 Junjie Li, Junji Yuan, Yanhong Dong, Deyan Liu, Yuncai Miao, Cong Yang, Weixin Ding
Wetlands serve a dual function as carbon dioxide (CO2) sinks and methane (CH4) sources. Emissions of CH4 from wetlands have long been considered to potentially offset net cooling effect of CO2 uptakes, yet there is a paucity of detailed knowledge on the tradeoff of wetland CO2 and CH4 fluxes under current and future climate conditions. This study used the eddy covariance technique to measure ecosystem-scale
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Sensitivity analysis of different parameterization schemes of the Weather Research and Forecasting (WRF) model to simulate heavy rainfall events over the Mahi River Basin, India Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-07 Aditya Sharma, Devesh Sharma, S. K. Panda, Anish Kumar
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African rainforest moisture contribution to continental agricultural water consumption Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-05 Maganizo Kruger Nyasulu, Ingo Fetzer, Lan Wang-Erlandsson, Fabian Stenzel, Dieter Gerten, Johan Rockström, Malin Falkenmark
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Constrained trait variation by water availability modulates radial growth in evergreen and deciduous Mediterranean oaks Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-06 Ester González de Andrés, Xavier Serra-Maluquer, Antonio Gazol, José Miguel Olano, José Ignacio García-Plazaola, Beatriz Fernández-Marín, J. Bosco Imbert, Lluís Coll, Aitor Ameztegui, Josep Maria Espelta, Arben Q. Alla, J. Julio Camarero
Spatial and temporal variation in functional traits allows trees to adjust to shifting environmental conditions such as water stress. However, the change of traits, both mean and variances, along water availability gradients and across growing seasons, as well as their covariation with tree performance, have been rarely assessed. We examined intraspecific trait variation in coexisting evergreen (Quercus
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Joint improvement on absorbed photosynthetically active radiation and intrinsic quantum yield efficiency algorithms in the P model betters the estimate of terrestrial gross primary productivity Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-06 Zhenyu Zhang, Weimin Ju, Xiaoyu Li, Xianfu Cheng, Yanlian Zhou, Shuhao Xu, Chengyu Liu, Jing Li
Terrestrial gross primary productivity (GPP) plays a crucial role in global carbon cycle and budget. A range of light use efficiency (LUE) models have been developed to estimate GPP at different spatial scales. However, large uncertainties still remain in GPP output from such models, mainly owing to the difficulty in the proper determination of maximum light use efficiency (LUEmax). The recently developed
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On recursive partitioning to refine coordinate rotation in Eddy covariance applications Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-04 Joel Oetting, Bruce Hicks, Neal Eash
While the use of three-dimensional sonic anemometers for eddy covariance is well established, there remain questions about its deployment and consequent data analysis. Convention has largely accepted that coordinates must be rotated so that the corrected transverse and vertical mean velocities become zero. In non-ideal terrain, a planar fit coordinate rotation is widely accepted. However, if the coordinate
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Evaluation of data assimilation strategies on improving the performance of crop modeling based on a novel evapotranspiration assimilation framework Agric. For. Meteorol. (IF 6.2) Pub Date : 2024-01-02 Cheng Yang, Huimin Lei
Recently, data assimilation (DA) has garnered significant attention. Integration of DA approaches and crop models could diminish model uncertainties and improve the precision of model simulations. While previous research extensively focused on assimilating leaf area index (LAI) or soil moisture (SM), the feasibility and effectiveness of assimilating evapotranspiration (ET) have been rarely explored
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Changes in evapotranspiration, transpiration and evaporation across natural and managed landscapes in the Amazon, Cerrado and Pantanal biomes Agric. For. Meteorol. (IF 6.2) Pub Date : 2023-12-30 B. D'Acunha, H.J. Dalmagro, P.H. Zanella de Arruda, M.S. Biudes, M.J. Lathuillière, M. Uribe, E.G. Couto, P.M. Brando, G. Vourlitis, M.S Johnson
Land-use and land-cover change (LULCC) can dramatically affect the magnitude, seasonality and main drivers of evaporation (E) and transpiration (T), together as evapotranspiration (ET), with effects on overall ecosystem function, as well as both the hydrological cycle and climate system at multiple scales. Our understanding of tropical ecosystem responses to LULCC and global change processes is still
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VPD-based models of dead fine fuel moisture provide best estimates in a global dataset Agric. For. Meteorol. (IF 6.2) Pub Date : 2023-12-30 Marcos Rodrigues, Víctor Resco de Dios, Ângelo Sil, Àngel Cunill Camprubí, Paulo M. Fernandes
Dead fine fuel moisture content (FM) is one of the most important determinants of fire behavior. Fire scientists have attempted to effectively estimate FM for nearly a century, but we are still lacking broad scale evaluations of the different approaches for prediction. Here we tackle this problem by taking advantage or a recently compiled global fire behavior database (BONFIRE) gathering 1603 records