![](https://scdn.x-mol.com/css/images/icon-new-link.png)
样式: 排序: IF: - GO 导出 标记为已读
-
Quantifying the impact of climate change and extreme heat on rice in the United States Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-07-11 Sanai Li, David H. Fleisher, Jinyoung Y. Barnaby
The United States (U.S.) is the world's 4th largest rice exporter and challenges associated with extreme heat and water availability may pose a threat to future productivity. Forecasts from multiple CMIP6 climate models were linked with geospatial data and a version of the ORYZA crop model, revised with updates to phenology, heat stress, gas exchange, and energy balance components, to evaluate yield
-
Biomass carbon stock and allocation of planted and natural forests in the Loess Plateau of China Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-07-10 Binbin Li, Guangyao Gao, Karl J. Niklas, Yiqi Luo, Mingxiang Xu, Guobin Liu, Bojie Fu
Establishing planted forests (PF) by afforestation and naturally regenerating forests (NF) are important measures of enhance carbon (C) sequestration in terrestrial ecosystems. However, the difference of biomass C stocks and allocation between NF and PF and their determinants in water-limited areas remain unclear. To address this gap, we conducted a synthesis of above-ground biomass C (AGBC), below-ground
-
Analyses from stand to tree level allow disentangling the effects of age, size, origin and competition on tree growth sensitivity to climate in natural and afforested Scots pine forests Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-07-09 Álvaro Rubio-Cuadrado, Fernando Montes, Iciar Alberdi, Isabel Cañellas, Isabel Aulló-Maestro, Raúl Sánchez-Salguero, Andrea Hevia, César Pérez-Cruzado, Juan Alberto Molina-Valero, J. Julio Camarero
The sensitivity of tree growth to climate is conditioned by several variables, often intermingled, such as the origin of the forest (natural vs. artificial), tree age, tree size and tree-to-tree competition. The effect of these variables is usually inferred from average growth series obtained at the stand level, thus ignoring the differences at the individual tree level and their drivers. Our objective
-
Contrasting temperature and light sensitivities of spring leaf phenology between understory shrubs and canopy trees: Implications for phenological escape Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-07-08 Xuefen Xiong, Hao Wu, Xinzeng Wei, Mingxi Jiang
Spring leaf phenology influences plant fitness and is highly sensitive to environmental changes. The spring phenological escape hypothesis posits that deciduous understory plants generally leaf out earlier than canopy trees to access a period of high light before the canopy closes. However, plants in different forest layers may respond differently to climate warming, which could lead to phenological
-
Atmospheric water demand dominates terrestrial ecosystem productivity in China Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-07-05 You Tu, Xiaofeng Wang, Jitao Zhou, Xiaoxue Wang, Zixu Jia, Jiahao Ma, Wenjie Yao, Xinrong Zhang, Zechong Sun, Pingping Luo, Xiaoming Feng, Bojie Fu
-
Two decades of riparian woodland water vapor and carbon dioxide flux responses to environmental variability Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-07-05 Erika L. Gallo, Russell L. Scott, Joel A. Biederman
Riparian woodlands occupy a small area of global drylands but are hotspots for carbon and water cycling because groundwater supplements a small moisture supply from precipitation (P). Despite their regional importance, it is unclear if and how climate variability alters water vapor and carbon dioxide (CO) fluxes in these ecosystems, and how ecosystem drivers vary across annual and seasonal scales.
-
A comparative analysis of OpenET for evaluating evapotranspiration in California almond orchards Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-07-03 Kyle Knipper, Martha Anderson, Nicolas Bambach, Forrest Melton, Zac Ellis, Yun Yang, John Volk, Andrew J. McElrone, William Kustas, Matthew Roby, Will Carrara, Sebastian Castro, Ayse Kilic, Joshua B. Fisher, Anderson Ruhoff, Gabriel B. Senay, Charles Morton, Sebastian Saa, Richard G. Allen
The almond industry in California faces water management challenges that are being exacerbated by droughts, climate change, and groundwater sustainability legislation. The Tree-crop Remote sensing of Evapotranspiration eXperiment (T-REX) aims to explore opportunities to improve precision irrigation management for woody perennial cropping systems. Almond orchards in the California Central Valley were
-
Regional uncertainty analysis between crop phenology model structures and optimal parameters Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-07-02 Chenyao Yang, Na Lei, Christoph Menz, Andrej Ceglar, Jairo Arturo Torres-Matallana, Siqi Li, Yanling Jiang, Xianming Tan, Lei Tao, Fang He, Shigui Li, Bing Liu, Feng Yang, Helder Fraga, João A. Santos
Crop phenology models are pivotal for simulating crop development, predicting yields and guiding agricultural practices. However, uncertainties exist in simulations due to different model structures and variability in model parameters. Although quantifying these contributions to total variability is often conducted at a site-specific level, few attempts to address this for regional crop modelling using
-
Independent estimates of net carbon uptake in croplands: UAV-LiDAR and machine learning vs. eddy covariance Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-07-02 Jaime C. Revenga, Katerina Trepekli, Rasmus Jensen, Pauline S. Rummel, Thomas Friborg
-
Soil temperature dominates forest spring phenology in China Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-07-01 Yuxin Liu, Xianfeng Liu, Zheng Fu, Donghai Zhang, Liyang Liu
Changes in forest phenology regulate ecosystem structure and function and have a feedback effect on climate, however, the primary factors controlling forest spring phenology remain unclear. Here, we used long-term satellite records to monitor forest spring phenology (start of the growing season, SOS) trends in China from 2000 to 2018 and quantified the coupling effect of preseason hydrothermal factors
-
Modelling and attributing growing season GPP change by improving Budyko's limitation framework in the inland river basin of Northwestern China Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-07-01 Xiaoge Chang, Qi Feng, Tingting Ning, Haiyang Xi, Zhenliang Yin
The Budyko framework has been successfully used to evaluate variations in hydrological processes and their responses to climate change and human activity. Recently, this framework was extended to estimate the mean annual terrestrial gross primary productivity (GPP) by defining two GPP potentials and a control parameter (). However, the feasibility of the GPP–Budyko framework at the growing season scale
-
Forest demography depends on stand structure, functional traits, and climate in the eastern region of the Qinghai-Tibet Plateau Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-29 Ting Li, Qi Wang, David T. Tissue, Ian J. Wright, Peng Luo, Changhong Lai, Yang Liu, Xiaodan Wang
Forest demographic dynamics are a key process in forest restoration, but how multiple variables may affect forest demography remains unclear. With data from 1,399 permanent forest plots containing 125 species and 103,773 individual trees in the Eastern Qinghai-Tibet Plateau, we examined the patterns of forest demography from 1979 to 2017 as affected by climate, functional traits and forest structure
-
Responses of plant water uptake sources to altered precipitation patterns in a tropical secondary forest Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-29 Xiaofang He, Dafeng Hui, Hui Liu, Faming Wang, Kuncun Yao, Hongfang Lu, Hai Ren, Jun Wang
Gaining insights into the impacts of altered precipitation patterns on tree species' water uptake sources and water usage strategies is crucial for water resource management, but a comprehensive understanding is lacking. We explored water uptake patterns and water-related traits of four dominant tree species (Evergreen: ; Deciduous: ) in two altered seasonal precipitation patterns (deferred wet season
-
Severe wildfire increased variability in the response of gross primary production to climate in an Eucalyptus dominated semi-arid woodland in South Australia Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-28 Qiaoqi Sun, Petra Marschner
Frequency and severity of wildfires have intensified in many regions in the world. High severity fires often initiate vegetation regrowth and succession, and thus alter ecosystem processes and functioning. Understanding how high severity fire-induced variations in gross primary production (GPP) respond to climate variability is critically important. This study aimed to quantify fire-induced changes
-
Spatial variation in boreal forest responses to global environmental change in western Canada Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-28 Wenhuan Xu, Masumi Hisano
Boreal forests, vital carbon sinks storing about 32% of the world's forest carbon, face significant threats from climate change. In west-central Canada, studies have primarily focused on the impacts of forest fires and water availability on forest biomass. However, the effects of rising atmospheric CO and climate warming, particularly in relation to spatial variations in mean annual temperature (MAT)
-
Disruption and recovery of carbon dioxide and water vapour exchange over British Columbia forests after natural and human disturbance Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-28 Sung-Ching Lee, Gesa Meyer, Vanessa N. Foord, David L. Spittlehouse, Philip J. Burton, Rachhpal S. Jassal, T. Andrew Black
Globally, forests are facing a wide range of disturbances that significantly impact carbon dioxide (CO) and water vapour exchange. In British Columbia (BC), Canada, coastal Douglas-fir and interior lodgepole pine are two of the most common tree species. Led by some early studies in the 1970s, two long-term BC forest research clusters were established using eddy-covariance techniques to further investigate
-
Innovative approach for estimating evapotranspiration and gross primary productivity by integrating land data assimilation, machine learning, and multi-source observations Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-27 Xinlei He, Shaomin Liu, Sayed M. Bateni, Tongren Xu, Changhyun Jun, Dongkyun Kim, Xin Li, Lisheng Song, Long Zhao, Ziwei Xu, Jiaxing Wei
The integration of data assimilation (DA) and machine learning (ML) methods helps to incorporate multi-source observations into physical models, enabling more accurate estimation of evapotranspiration (ET) and gross primary productivity (GPP). Therefore, in this study, the ML-based soil moisture (SM) bias-correction model and solar-induced chlorophyll fluorescence (SIF) observation operator are incorporated
-
Carbon dioxide and methane fluxes in the growing and non-growing season in the Dajiuhu subtropical peatland: A five-year measurement using the eddy covariance technique Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-27 Ziwei Liu, Jiwen Ge, Shiyu Yang, Xue Li, Jing Xiong, Aoxiang Zheng
Peatlands present substantial terrestrial carbon reservoirs actively engaged in land-atmosphere carbon exchanges. Ongoing variations in carbon dynamics, attributed to global climate change, underscore the necessity of elucidating the connections between carbon fluxes and meteorological parameters. Limited studies have delved into disparities in carbon fluxes and the mechanisms mediating them during
-
Seasonal and vertical variation in canopy structure and leaf spectral properties determine the canopy reflectance of a rice field Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-27 Weiwei Liu, Matti Mõttus, Jean-Philippe Gastellu-Etchegorry, Hongliang Fang, Jon Atherton
Physical model simulations have been widely utilized to simulate the reflectance of vegetation canopies. Such simulations can be used to estimate key biochemical and physical vegetation parameters, such as leaf chlorophyll content (LCC), leaf area index (LAI), and leaf inclination angle (LIA) from remotely sensed data via model inversion. In simulations, field crops are typically regarded as one-dimensional
-
Unraveling space and time variability in maximum water storage among sunflower organs: Implications for wetness duration Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-27 Mauro Covi, Luis Adolfo Nazareno Aguirrezábal, María Isabel Gassmann
Vegetation wetness significantly alters the plant microclimate, thereby influencing plant functionality, growth, and yield. Prolonged wetness periods can exacerbate the risk of attack of various plant diseases. Maximum water storage capacity is a crucial parameter for modeling wetness duration, as it sets the upper limit for free water available for evaporation. This study aimed to achieve three main
-
An improved canopy interception scheme into biogeochemical model for precise simulation of carbon and water fluxes in subtropical coniferous forest Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-26 Fen Zhao, Jiao Wang, Hua Shang, Lang Xia, Qingzhu Gao
The process-based Biome-BGC (Biome Biogeochemical Cycles) model is widely used to simulate the fluxes of carbon and water of terrestrial ecosystems. While exhibiting excellent performance in simulating carbon cycle processes, this model provides a relatively simple simulation of the water cycle processes, particularly in canopy interception, which may result in significant errors in evapotranspiration
-
Ecosystem-scale carbon dynamics in desert Shrublands: Unraveling the complex interplay among leaf functional and physiological traits and environment Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-25 Chuan Jin, Tianshan Zha, Charles P.A. Bourque, Xin Jia, Yun Tian, Peng Liu, Xinhao Li, Mingze Xu, Zifan Guo, Zhongmin Hu
Understanding the relationships and dynamics of environmental variables, leaf traits, and photosynthetic parameters in determining gross ecosystem productivity (GEP) is fundamental to assessing the carbon (C) cycle. However, existing knowledge in this area, especially concerning desert ecosystems, remains entirely inadequate. In this study, we used near-continuous eddy covariance, foliar, and photosynthetic
-
Five decades of ecological and meteorological data enhance the mechanistic understanding of global change impacts on the treeline ecotone in the European Alps Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-25 Lia Lechler, Christian Rixen, Peter Bebi, Mathias Bavay, Mauro Marty, Ignacio Barbeito, Melissa A. Dawes, Frank Hagedorn, Frank Krumm, Patrick Möhl, Marcus Schaub, Esther R. Frei
-
Prediction of maize cultivar yield based on machine learning algorithms for precise promotion and planting Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-25 Yanyun Han, Kaiyi Wang, Feng Yang, Shouhui Pan, Zhongqiang Liu, Qiusi Zhang, Qi Zhang
This study proposed a model that utilized machine learning algorithms to predict the yield of maize ( L.) cultivars. This will enable the selection of good cultivars with high yields that are suitable for planting in specific areas, such as a district or county. The breeding value of the cultivars and 11 types of time-series meteorological variables were selected as the input parameters of the model
-
Photoperiod alone does not explain the variations of leaf senescence onset across Europe Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-24 Qiang Liu, Nicolas Delpierre, Matteo Campioli
-
Snow cover duration delays spring green-up in the northern hemisphere the most for grasslands Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-24 Xufeng Wang, Zongxing Li, Jingfeng Xiao, Gaofeng Zhu, Junlei Tan, Yang Zhang, Yingchun Ge, Tao Che
Snow is an important factor controlling vegetation functions in high latitudes/altitudes. However, due to the lack of reliable in-situ measurements, the effects of snow on vegetation phenology remains poorly understood. Here, we examine the effects of snow cover duration (SCD) on the start of growing season (SOS) for different vegetation types. SOS and SCD were extracted from in-situ carbon flux and
-
Data-constrained modeling of terrestrial gross primary production over the Tibetan Plateau for 2003–2019 Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-22 Shaoyuan Chen, Dan Liu, Yuan Zhang, Rongshun Zheng, Tao Wang
The gross primary productivity (GPP) of terrestrial ecosystem is the largest carbon flux between atmosphere and land surface. However, accurately simulating ecosystem GPP remains a great challenge for most land surface models (LSMs) due to the biased leaf area index (LAI) simulated by the models. In this study, we use remotely sensed LAI dataset for the period 2003–2019 to drive the Farquhar model
-
Time-series satellite images reveal abrupt changes in vegetation dynamics and possible determinants in the Yellow River Basin Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-19 Xinyuan Jiang, Xiuqin Fang, Qiuan Zhu, Jiaxin Jin, Liliang Ren, Shanhu Jiang, Yiqi Yan, Shanshui Yuan, Meiyu Liao
A comprehensive understanding of vegetation dynamics over long term periods is crucial for protecting regional ecosystems. The Yellow River Basin in China has experienced vegetation greening over recent decades, but detailed documentation of abrupt vegetation changes during this process is limited. Here, based on the Global Inventory Modeling and Mapping Studies (GIMMS) dataset, we applied the Breaks
-
Different climate conditions drive variations in gross primary productivity and woody biomass accumulation in a temperate and a boreal conifer forest in Canada Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-18 Paulina F. Puchi, Myroslava Khomik, Warren Helgason, M. Altaf Arain, Daniele Castagneri
Understanding the complex relationships between climate, forest carbon (C) uptake and biomass growth has become a research priority, crucial for assessing the climate change impacts on forest C sequestration. Such associations are expected to vary across biomes, due to different climate constraints on tree physiology. However, our understanding of the seasonal dynamics of long-term C sequestration
-
Aerosol interference with open-path eddy covariance measurement in a lake environment Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-17 Lei Jia, Mi Zhang, Wei Xiao, Yini Pu, Zhen Zhang, Hengxin Bao, Pei Ge, Jie Shi, Yang He, Fuyu Yang, Kelly Aho, Peter Raymond, Xuhui Lee
Open-path eddy covariance (OPEC) is widely used for measuring trace gas fluxes between the surface and the atmosphere. At a lake in Eastern China (Lake Taihu), the CO flux measured with OPEC was often negative at night (with values as low as 22.1 μmol m s) and was coherent across the whole lake, as if the lake were a large sink of atmospheric CO. The purpose of this study is to investigate the cause
-
Assessing the impact of climate and crop diversity on regional greenhouse gas emissions and water demand of cropland Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-15 Yihe Tang, Shikun Sun, Yuhan Lei, Fei Mo, Jinfeng Zhao, Chong Li, Jiajun Tong, Yali Yin, Yubao Wang
-
Increasing influence of minimum temperature on grassland spring phenology in arid Central Asia Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-14 Jianhao Li, Liang Liu, Jianghua Zheng, Xiaojing Yu, Ruikang Tian, Wanqiang Han, Jingyun Guan
The dynamics of grassland spring phenology in arid Central Asia (ACA) are critical for the regional carbon cycle, ecological security, and social stability. Nonetheless, the mediating effects of climatic elements on grassland start of season (SOS) and trends in the relative contributions to the SOS in the ACA have not been sufficiently investigated. In this study, we explored the mediating effects
-
Lightning-induced fire regime in Portugal based on satellite-derived and in situ data Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-14 Lucas S. Menezes, Ana Russo, Renata Libonati, Ricardo M. Trigo, José M.C. Pereira, Akli Benali, Alexandre M. Ramos, Célia M. Gouveia, Carlos A. Morales Rodriguez, Ricardo Deus
Fire databases typically contain information regarding the location, timing, and duration of fire occurrences, as well as the cause (natural or human-induced). These databases allow for the analysis and understanding of the circumstances surrounding the ignition and propagation of wildfires, being highly relevant when addressing fire suppression and management plans, or for improvement of prevention
-
Increasing complexity in Aerodynamic Gradient flux calculations inside the roughness sublayer applied on a two-year dataset Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-12 E.A. Melman, S. Rutledge-Jonker, M. Braam, K.F.A. Frumau, A.F. Moene, M. Shapkalijevski, J. Vilà-Guerau de Arellano, M.C. van Zanten
Over tall canopies such as forests the atmospheric surface layer is subdivided into an inertial sublayer (ISL) and a roughness sublayer (RSL). Inside the RSL the classic aerodynamic gradient method using Monin-Obukhov similarity theory (MOST) by itself does not represent the gradient well and is insufficient to calculate fluxes. Over the past decades multiple studies have proposed methods to extend
-
Post-windthrow differences of carbon and water fluxes between managed and unmanaged Norway spruce stands Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-10 Peter Petrík, Peter Fleischer Jr., Jakub Tomes, Viliam Pichler, Peter Fleischer Sr.
-
The contributions of microclimatic information in advancing ecosystem science Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-08 Jiquan Chen, Kyaw Tha Paw U, Malcolm North, Jerry F. Franklin
Drawing upon over 100 years of scholarly work on microclimate, we first present an overview of the history, key references, and critical issues surrounding the collection and utilization of microclimate records in ecosystem studies. We place particular emphasis on addressing specific and pressing issues related to the applications of microclimate at the community-ecosystem-landscape level, excluding
-
Effects of electrical conductivity on uncoated- and coated-rods of eight electromagnetic soil water content sensors Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-08 Wenyi Sheng, Ruishu Zhang, Chieh-Yun Chang, Juan D. González-Teruel, Scott B. Jones, Man Zhang, Fanjia Meng
Soil water content stands as a pivotal parameter across numerous research disciplines and engineering applications. Electromagnetic (EM) sensors have gained widespread usage in monitoring soil water content. While commonly employed sensors are suitable for typical agronomic- or landscape-soil environments, they may exhibit significant deviations under conditions of high-salinity or -electrical conductivity
-
Improving crop yield estimation by unified model parameters and state variable with Bayesian inference Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-08 Jianjian Song, Jianxi Huang, Hai Huang, Guilong Xiao, Xuecao Li, Li Li, Wei Su, Wenbin Wu, Peng Yang, Shunlin Liang
Data assimilation techniques integrating crop growth models and remote sensing technologies offer a feasible approach for large-scale crop yield estimation. Previous research has primarily focused on either recalibrate the uncertain model parameters or updating model state variables independently using remotely sensed observations. In this study, we developed a two-step inference algorithm that couples
-
Assessing the hydroclimatic sensitivity of tree species in Northeastern America through spatiotemporal modelling of annual tree growth Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-08 Jean-Daniel Sylvain, Guillaume Drolet, Nicholas Kiriazis, Évelyne Thiffault, François Anctil
Climate is an important abiotic factor that controls the physiological processes governing photosynthesis, cambial activity, and xylogenesis of trees. Climate projections anticipate significant changes in the dynamics of hydroclimatic variables and an increase in the occurrence of extreme climatic events. These changes can substantially impact the quantity and quality of wood produced annually and
-
Post-fire forest recovery trajectory characterized by a modified LandTrendr recovery detection method: A case study of Pinus yunnanensis forests Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-08 Xiao Xu, Yating Li, Shuai Li, Hui Fan
Forest fires profoundly affect forest growth, and then alter forest ecosystem services and global carbon cycles. Quantitatively characterizing the trajectories of post-fire forest recovery or regrowth is crucial for understanding the effects of increasing wildfires from local to global scales. However, obtaining synoptic and large-scale patterns of post-fire recovery trajectories from remotely sensed
-
Six years of nitrous oxide emissions from temperate cropping systems under real-farm rotational management Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-07 Josette Garnier, Antoine Casquin, Benjamin Mercier, Anun Martinez, Eric Gréhan, Abdel Azougui, Sébastien Bosc, Alexandre Pomet, Gilles Billen, Bruno Mary
-
An improved representative of stomatal models for predicting diurnal stomatal conductance at low irradiance and vapor pressure deficit in tropical rainforest trees Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-05 Wei Xue, Xue-min He, Quan Wang, Pei-jun Shi, Guang-hui Lv, Jian-feng Huang, Da Yang, Jiao-lin Zhang
The predictions of stomatal conductance (g) by the unified stomata optimization (USO) series models in tropical rainforest trees exhibited pronounced biases. However, little attention has been devoted to the structural issues within the USO series models themselves. This study introduced a novel approach by integrating the Farquhar photosynthesis model with the random forest (RF) algorithm to investigate
-
Ecohydrological response to deep soil desiccation in a semiarid apple orchard Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-05 Shaofei Wang, Min Yang, Xiaodong Gao, Bin Li, Yaohui Cai, Changjian Li, Hailong He, Xining Zhao
Ecohydrological processes in water-limited ecosystems are sensitive to deep soil water (DSW), but it remains unclear on how and to what extent deep soil desiccation (DSD) affects these ecohydrological processes, especially during meteorological drought. To address this gap in understanding, we used the Hydrus-2D model — calibrated by continuously observed soil water contents from 0–450 cm soil depth
-
Validation and parametrization of the soil moisture index for stomatal conductance modelling and flux-based ozone risk assessment of Mediterranean plant species Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-04 Tania Carrasco-Molina, Riccardo Marzuoli, Vicent Calatayud, David Simpson, Giacomo Gerosa, Arnaud Carrara, Isaura Rábago, Rocío Alonso, Ignacio González-Fernández
The Mediterranean region chronically experiences high levels of tropospheric ozone (O) that can affect the health of vegetation. However, limiting plant growing conditions, such as low soil moisture, may restrict the stomatal phytotoxic ozone dose (POD) absorbed by vegetation, modulating O detrimental effects. Atmospheric chemistry transport models that estimate POD for O risk assessment of effects
-
Improved estimation of gross primary productivity (GPP) using solar-induced chlorophyll fluorescence (SIF) from photosystem II Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-03 Chenhui Guo, Zhunqiao Liu, Xiaoqian Jin, Xiaoliang Lu
Solar-induced chlorophyll fluorescence (SIF) contains contributions from both photosystem I (PSI) and photosystem II (PSII). In theory, SIF emitted from PSII (SIF) should be extracted from at-sensor SIF to quantify photosynthetic CO assimilation, as PSI fluorescence yield is nearly insensitive to changes in photochemical yield. In many SIF-related studies, the fraction of chlorophyll-absorbed energy
-
Simulating the effects of low-temperature stress during flowering stage on leaf-level photosynthesis with current rice models Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-03 Min Kang, Siyuan Wang, Zhenkai Xu, Chenzhe Xu, Jingwei An, Yu Zhang, Yaowen Zeng, Iftikhar Ali, Liang Tang, Liujun Xiao, Bing Liu, Leilei Liu, Weixing Cao, Yan Zhu
Photosynthesis is crucial for crop growth and yield, yet remains a limitation in enhancing crop production under global climate change. Crop models have been widely used to project the impacts of climate change on crop yields, including extreme temperature events. However, most crop simulation models performed poorly on leaf-level photosynthesis simulation under low-temperature stress (LTS). Here,
-
The characteristics of turbulence intermittency and its impact on surface energy imbalance over Loess Plateau Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-02 Heying Chang, Yan Ren, Hongsheng Zhang, Jiening Liang, Xianjie Cao, Pengfei Tian, Jiayun Li, Jianrong Bi, Lei Zhang
-
The impact of spongy moth (Lymantria dispar dispar) defoliation on carbon balance of a temperate deciduous forest in North America Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-06-01 Lejla Latifovic, M. Altaf Arain
Temperate deciduous forests are an important contributor to the global carbon (C) sink. However, changes in environmental conditions and natural disturbances such as insect infestations can impact carbon sequestration capabilities of these forests. While, insect infestations are expected to increase in warmer future climates, there is a lack of knowledge on the quantitative impact of these natural
-
Comparison between lower-cost and conventional eddy covariance setups for CO2 and evapotranspiration measurements above monocropping and agroforestry systems Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-05-31 José Ángel Callejas-Rodelas, Alexander Knohl, Justus van Ramshorst, Ivan Mammarella, Christian Markwitz
Novel, lower-cost setups of eddy covariance systems may offer a potential solution to the spatial replication problem of single flux towers. Prior to their widespread application, it is essential to conduct comprehensive testing against conventional eddy covariance setups to ensure the accuracy and precision of the measurements. In this study, we performed a comparison between three lower-cost eddy
-
Short- and long-term prediction models of rubber tree powdery mildew disease index based on meteorological variables and climate system indices Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-05-31 Rui Bai, Jing Wang, Ning Li, Renwei Chen
Rubber tree powdery mildew is the most serious disease of rubber trees in China. Climate is the most important factor influencing the occurrence and development of rubber tree powdery mildew. However, few studies combined the short- and long-term prediction models for rubber tree powdery mildew disease index to prevent and control rubber tree powdery mildew in advance. The study collected daily meteorological
-
Igniting lightning, wildfire occurrence, and precipitation in the boreal forest of northeast China Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-05-31 Cong Gao, Chunming Shi, Jinbao Li, Shangbo Yuan, Xinyan Huang, Qi Zhang, Qiming Ma, Guocan Wu
Cloud-to-ground (CG) lightning is the primary cause of major boreal forest wildfires. Characterizing igniting lightning and the weather conditions favoring ignition is essential for wildfire prediction and prevention. However, these studies have not been conducted in the Greater Khingan Mountains of northeast China, the region with the largest boreal forest and the most frequent lightning-induced fires
-
Regional temperature response to different forest development stages in Fennoscandia explored with a regional climate model Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-05-29 Bo Huang, Yan Li, Xia Zhang, Chunping Tan, Xiangping Hu, Francesco Cherubini
Several studies investigated the regional temperature effects of afforestation or deforestation, but the impacts of different forest development stages or alternative forest management received limited attention. This is mainly due to challenges in representing area-limited forest dynamics in low-resolution climate models and the need for accurate forest parameters. This study investigates the impact
-
Comparison of two micrometeorological and three enclosure methods for measuring ammonia emission after slurry application in two field experiments Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-05-29 Jesper N. Kamp, Sasha D. Hafner, Jan Huijsmans, Koen van Boheemen, Hannah Götze, Andreas Pacholski, Johanna Pedersen
Ammonia emission following field application of animal slurry is a significant problem for the environment and human health. Accurate emission measurements are crucial for inventories, research, and mitigation. However, there may be large differences between results obtained with different methods. In this study measurement methods were compared in two field experiments: in Denmark (I-AU, trailing
-
Theoretical study on dew formation in plant canopies based on a one-layer energy-balance model Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-05-29 Tsuneo Kuwagata, Atsushi Maruyama, Junsei Kondo, Tsutomu Watanabe
-
Unraveling the effects of plant and soil properties on tree water absorption in pure and mixed forests across subtropical China Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-05-27 Beibei Zhang, Qing Xu, Shirong Liu, Binhe Gu, Deqiang Gao, Ting Wang, Mingzhen Sui, Haijun Zuo, Jing Jiang
Tree species mixtures have been identified as an effective strategy to cope with global climate change. Global climate change not only triggers extreme drought, but also stimulates extreme precipitation, resulting in frequent floods and subsequent tree mortality. However, previous studies concentrated primarily on the response of mixed species to extreme drought, with limited studies involving their
-
Small oases below the canopy: The cooling effects of water-filled tree holes on the local microclimate in oak-dominated stands Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-05-27 Bence Kovács, Csaba Németh, Réka Aszalós, Katalin Veres
-
Index construction and real-time hazard assessment of rice sterile-type chilling injury process in Northeast China Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-05-25 Bilige Sudu, Kaiwei Li, Suri Guga, Teri Gele, Feng Zhi, Ying Guo, Sicheng Wei, Guangzhi Rong, Yongbin Bao, Xingpeng Liu, Jiquan Zhang
-
From drought hazard to risk: A spring wheat vulnerability assessment in the Canadian Prairies Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-05-25 Jacob Mardian, Catherine Champagne, Barrie Bonsal, Bahram Daneshfar, Aaron Berg
The Canadian drought monitor (CDM) provides monthly assessments of drought severity but does not provide guidance on the potential agricultural impacts. This study extends the CDM to a comprehensive risk assessment framework by assessing the vulnerability of spring wheat to drought timing and severity in the Canadian Prairies. To achieve this, a bayesian neural network (BNN) model was developed that
-
Soil water availability induces divergent ecosystem water-use strategies to dry-heat conditions in two poplar plantations in North China Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-05-24 Xiaoyun Wu, Hang Xu, Tonggang Zha, Yang Zhao, Zhiqiang Zhang
Terrestrial ecosystems are increasingly threatened by more frequent and intensified compound dry-heat conditions, exacerbated by land-atmosphere feedback under changing climate. The water-use strategy (WUS), which determines the trade-off between carbon assimilation and water consumption, is a key metric for exploring how terrestrial ecosystems respond to environmental stresses. However, how water
-
Evaluating the nature of turbulent coherent structures in orchards using integrated quadrant analysis Agric. For. Meteorol. (IF 5.6) Pub Date : 2024-05-22 Mary Rose Mangan, Holly J. Oldroyd, Kyaw Tha Paw U, Jenae M. Clay, Kosana Suvočarev
Inside orchards, turbulent coherent structures dominate the transport of heat, momentum, and moisture between the canopy and the atmosphere. Integrated quadrant analysis is a method to visualize the trajectory of individual turbulent coherent structures using in situ data from three-dimensional anemometry. In this paper, integrated quadrant analysis is used to characterize the turbulent transport of