Article
Agronomy
Xuehui Guo, Da Pan, Ryan W. Daly, Xi Chen, John T. Walker, Lei Tao, James McSpiritt, Mark A. Zondlo
Summary: This study utilized two fast-response NH3 sensors to measure NH3 fluxes in a forest and grassland in North Carolina and observed significant differences in NH3 exchange under different vegetation and biogeochemical conditions. NH3 fluxes displayed diurnal variations and varied ranges in different environmental conditions.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Agronomy
Pradeep Wagle, Prasanna H. Gowda, Brian K. Northup, James P. S. Neel
Summary: Accurately determining productive water use (i.e., transpiration, T, component of evapotranspiration, ET) is crucial for improving ecosystem water use efficiency (EWUE) and developing water-saving management practices. This study compared transpiration and evaporation patterns in conventional till and no-till canola fields, finding differences in recovery of canola stands and the added value of transpiration estimates for more meaningful EWUE estimates during periods of higher evaporation.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Environmental Studies
Zhihao Liu, Hong Li, Fangtao Wu, Hui Wang, Huai Chen, Qiuan Zhu, Gang Yang, Weiguo Liu, Dexiang Chen, Yide Li, Changhui Peng
Summary: The CH4 flux in a tropical rainforest in Hainan Island, China, showed diurnal variations with strong uptake during the day and weak uptake at night, resulting in an average daily CH4 flux of -4.5 nmol m(-2) s(-1). The mean annual CH4 budget for three years was -1260 mg CH4 m(-2) year(-1). The CH4 flux did not vary significantly between the dry season and wet season. Artificial neural network (ANN) modeling showed that 69% of the total variance in the daily CH4 flux could be explained by a combination of air temperature, latent heat flux, soil volumetric water content, atmospheric pressure, and soil temperature. This study suggests that tropical rainforests in China act as a CH4 sink, contributing to global warming mitigation.
Article
Agronomy
Hassan Awada, Simone Di Prima, Costantino Sirca, Filippo Giadrossich, Serena Marras, Donatella Spano, Mario Pirastru
Summary: Satellite remote sensing-based surface energy balance techniques are useful for quantifying actual evapotranspiration, but continuous time series of daily crop actual evapotranspiration are more valuable in agriculture water management. The integrated modeling approach in this research successfully constructed continuous time series of daily ETc act and showed good agreement with observed dynamics.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Engineering, Civil
Shouzheng Jiang, Chuan Liang, Lu Zhao, Daozhi Gong, Yaowei Huang, Liwen Xing, Shidan Zhu, Yu Feng, Li Guo, Ningbo Cui
Summary: Understanding and quantifying energy and water flux cycling is crucial for studying hydrological processes and managing water resources in agricultural ecosystems. This study used various techniques and models to examine energy and water flux in a kiwifruit orchard in southwest China. The results showed that latent heat flux dominated the consumption of net radiation energy, and the ET models performed well in estimating ET and its components. These findings have important implications for eco-hydrological process analysis and water flux estimation in similar environmental conditions.
JOURNAL OF HYDROLOGY
(2022)
Article
Multidisciplinary Sciences
Volker Raffelsbauer, Franz Pucha-Cofrep, Simone Strobl, Johannes Knuesting, Michael Schorsch, Katja Trachte, Renate Scheibe, Achim Braeuning, David Windhorst, Joerg Bendix, Brenner Silva, Erwin Beck
Summary: This study investigates transpiration in a tropical evergreen mountain forest in the Ecuadorian Andes, focusing on nocturnal plant-water relations. It found that despite the humid climate, plants transpired both day and night, with short spells of drought increasing daily transpiration, especially through nighttime transpiration. The study also observed that the extent of diurnal stem circumference fluctuations corresponded with the grouping of tree species based on their water relations.
Article
Environmental Sciences
Evelyn Raquel Salas-Acosta, Jose Luis Andrade, Jorge Adrian Perera-Burgos, Roberth Us-Santamaria, Bernardo Figueroa-Espinoza, Jorge M. Uuh-Sonda, Eduardo Cejudo
Summary: This study used the thermal dissipation method to measure transpiration in a tropical dry deciduous forest in Yucatan, Mexico. It found that transpiration changes over time and is higher in the rainy season. Diameter at breast height was a reliable way of estimating transpiration. Direct measurement of transpiration would improve the accuracy of water availability estimation and assessment of vegetation responses to climate change.
Article
Engineering, Civil
Palingamoorthy Gnanamoorthy, Qinghai Song, Junbin Zhao, Yiping Zhang, Jing Zhang, Youxing Lin, Liguo Zhou, Sadia Bibi, Chenna Sun, Hui Yu, Wenjun Zhou, Liqing Sha, Shusen Wang, S. Chakraborty, Pramit Kumar Deb Burman
Summary: The effect of fog on plant physiological parameters in a mature rubber plantation in southwest China was studied over 3 years. The results showed that foggy days during the cool dry season reduced the physiological activities of rubber trees, but enhanced crop water productivity. This suggests that fog events can reduce water demand and alleviate water stress for trees by regulating plant physiology.
JOURNAL OF HYDROLOGY
(2022)
Article
Agronomy
Olga A. Kuricheva, Vitaly K. Avilov, Duy B. Dinh, Robert B. Sandlersky, Andrey N. Kuznetsov, Julia A. Kurbatova
Summary: This study conducted over 6 years of energy and water flux measurements in a mature tropical moist forest in Vietnam, revealing the impact of seasonality and climate on parameters such as evapotranspiration and net radiation. The dry season lasts approximately four months with significant interannual variations in precipitation and evapotranspiration.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Geosciences, Multidisciplinary
Rafael Poyatos, Victor Granda, Victor Flo, Mark A. Adams, Balazs Adorjan, David Aguade, Marcos P. M. Aidar, Scott Allen, M. Susana Alvarado-Barrientos, Kristina J. Anderson-Teixeira, Luiza Maria Aparecido, M. Altaf Arain, Ismael Aranda, Heidi Asbjornsen, Robert Baxter, Eric Beamesderfer, Z. Carter Berry, Daniel Berveiller, Bethany Blakely, Johnny Boggs, Gil Bohrer, Paul Bolstad, Damien Bonal, Rosvel Bracho, Patricia Brito, Jason Brodeur, Fernando Casanoves, Jerome Chave, Hui Chen, Cesar Cisneros, Kenneth Clark, Edoardo Cremonese, Hongzhong Dang, Jorge S. David, Teresa S. David, Nicolas Delpierre, Ankur R. Desai, Frederic C. Do, Michal Dohnal, Jean-Christophe Domec, Sebinasi Dzikiti, Colin Edgar, Rebekka Eichstaedt, Tarek S. El-Madany, Jan Elbers, Cleiton B. Eller, Eugenie S. Euskirchen, Brent Ewers, Patrick Fonti, Alicia Forner, David Forrester, Helber C. Freitas, Marta Galvagno, Omar Garcia-Tejera, Chandra Prasad Ghimire, Teresa E. Gimeno, John Grace, Andre Granier, Anne Griebel, Yan Guangyu, Mark B. Gush, Paul J. Hanson, Niles J. Hasselquist, Ingo Heinrich, Virginia Hernandez-Santana, Valentine Herrmann, Teemu Holtta, Friso Holwerda, James Irvine, Supat Isarangkool Na Ayutthaya, Paul G. Jarvis, Hubert Jochheim, Carlos A. Joly, Julia Kaplick, Hyun Seok Kim, Leif Klemedtsson, Heather Kropp, Fredrik Lagergren, Patrick Lane, Petra Lang, Andrei Lapenas, Victor Lechuga, Minsu Lee, Christoph Leuschner, Jean-Marc Limousin, Juan Carlos Linares, Maj-Lena Linderson, Anders Lindroth, Pilar Llorens, Alvaro Lopez-Bernal, Michael M. Loranty, Dietmar Luttschwager, Cate Macinnis-Ng, Isabelle Marechaux, Timothy A. Martin, Ashley Matheny, Nate McDowell, Sean McMahon, Patrick Meir, Ilona Meszaros, Mirco Migliavacca, Patrick Mitchell, Meelis Molder, Leonardo Montagnani, Georgianne W. Moore, Ryogo Nakada, Furong Niu, Rachael H. Nolan, Richard Norby, Kimberly Novick, Walter Oberhuber, Nikolaus Obojes, A. Christopher Oishi, Rafael S. Oliveira, Ram Oren, Jean-Marc Ourcival, Teemu Paljakka, Oscar Perez-Priego, Pablo L. Peri, Richard L. Peters, Sebastian Pfautsch, William T. Pockman, Yakir Preisler, Katherine Rascher, George Robinson, Humberto Rocha, Alain Rocheteau, Alexander Roll, Bruno H. P. Rosado, Lucy Rowland, Alexey Rubtsov, Santiago Sabate, Yann Salmon, Roberto L. Salomon, Elisenda Sanchez-Costa, Karina V. R. Schafer, Bernhard Schuldt, Alexandr Shashkin, Clement Stahl, Marko Stojanovic, Juan Carlos Suarez, Ge Sun, Justyna Szatniewska, Fyodor Tatarinov, Miroslav Tesar, Frank M. Thomas, Pantana Tor-ngern, Josef Urban, Fernando Valladares, Christiaan van der Tol, Ilja van Meerveld, Andrej Varlagin, Holm Voigt, Jeffrey Warren, Christiane Werner, Willy Werner, Gerhard Wieser, Lisa Wingate, Stan Wullschleger, Koong Yi, Roman Zweifel, Kathy Steppe, Maurizio Mencuccini, Jordi Martinez-Vilalta
Summary: Plant transpiration plays a crucial role in linking physiological responses of vegetation to water supply and demand with hydrological, energy, and carbon budgets. The SAPFLUXNET dataset provides a global compilation of whole-plant transpiration data, offering insights into plant water use, responses to drought, and ecohydrological processes worldwide. This valuable resource enhances our understanding of the complex interactions between plants and their environment.
EARTH SYSTEM SCIENCE DATA
(2021)
Article
Agronomy
Andrew L. Lowry, Hamish A. McGowan, Michael A. Gray
Summary: Coastal wetland environments are crucial sub-tropical ecosystems and significant carbon sinks. Eddy covariance measurements in Eastern Australia show varying carbon and water fluxes in wetland, swamp, and pine plantation, with different environmental factors driving these fluxes. Results provide insights into the ecosystems' exchanges with the atmosphere and can help quantify their responses to climate and land use changes.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Review
Agronomy
Sergio Aranda-Barranco, Penelope Serrano-Ortiz, Andrew S. Kowalski, Enrique P. Sanchez-Canete
Summary: The maintenance of spontaneous weed cover in olive groves can increase carbon removal capacity, but its effect on leaf-scale carbon assimilation has not been studied. The presence of other species competing for soil water can also modify water use efficiency. In this study, leaf-scale carbon assimilation, transpiration, and water use efficiency were measured in olive groves with different weed treatments. It was found that weed-free treatment had higher leaf-scale net carbon assimilation, but lower ecosystem gross primary production compared to weed-covered treatment. The effect of weed maintenance on carbon assimilation and water use efficiency varied with weed growth.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Agronomy
Suraj Reddy Rodda, Kiran Chand Thumaty, M. S. S. Praveen, Chandra Shekhar Jha, Vinay Kumar Dadhwal
Summary: This study examines the carbon balance of a 65-year-old tropical dry deciduous forest site in central India, showing it to be a net sink of atmospheric CO2 with significant seasonality and important carbon sequestration during the winter season.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Agronomy
Kelley Drechsler, Allan Fulton, Isaya Kisekka
Summary: This study conducted in California determined crop water use and crop coefficients for young almond orchards. The results showed that water use and coefficients increased until the 4th year, highlighting the importance of considering tree development and orchard age in irrigation scheduling.
IRRIGATION SCIENCE
(2022)
Article
Environmental Studies
Hui Wang, Hong Li, Zhihao Liu, Jianhua Lv, Xinzhang Song, Quan Li, Hong Jiang, Changhui Peng
Summary: The study found that subtropical forest ecosystems in the Tianmu Mountain Nature Reserve in Zhejiang Province, China acted as a net source of methane emissions from 2016 to 2018, providing positive feedback to global climate warming. Soil temperature and moisture were identified as the most important factors controlling the ecosystem-scale CH4 flux dynamics.
Article
Computer Science, Software Engineering
Jared McLean, Sean B. Cleveland, Michael Dodge, Matthew P. Lucas, Ryan J. Longman, Thomas W. Giambelluca, Gwen A. Jacobs
Summary: This article discusses the technologies and implementation of a climate data portal that provides access to climatological data and resources, with a focus on the state of Hawai'i. The portal allows interactive access to and visualization of historical and near-real-time gridded maps and sensor station observational data.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2023)
Article
Water Resources
Sorain J. Ramchunder, Denitza D. Voutchkova, Elvagris Segovia Estrada, C. Joon Chuah, Jaivime Evaristo, Daniel Ng, Yixiong Cai, Rachel Y. T. Koh, Alan D. Ziegler
Summary: By monitoring hydrochemical changes, we investigated the processes contributing to periodic acidification events in headwater streams of Nee Soon Forest Catchment (NSFC) in Singapore. The stream chemistry response to rainfall events showed a decrease in pH and an increase in electrical conductivity, indicating low-total dissolved solids in stormflow. The decrease in pH in the streams was related to acidic rainfall inputs and the flushing of organic acids into the stream.
HYDROLOGICAL PROCESSES
(2022)
Article
Geography, Physical
Canh Tien Trinh Nguyen, Patrick Moss, Robert J. Wasson, Philip Stewart, Alan D. Ziegler
Summary: The study of pollen, microcharcoal, and sediment materials in the Nee Soon Freshwater Swamp Forest in Singapore revealed its over 20,000-year history, including the presence of a savanna corridor during the Last Glacial Maximum, evidence of dryer climate and fires, missing sediments likely due to construction work in the 1950s, sea-level influences, and the swamp not being a peatland. The forest in this protected area of Singapore developed from a grassland-dominated landscape after the Last Glacial Maximum, possibly making it less resilient to long-term drought conditions, and the swamp and stream system show high levels of dynamism.
JOURNAL OF QUATERNARY SCIENCE
(2022)
Article
Meteorology & Atmospheric Sciences
Yanyan Cheng, L. Ruby Leung, Maoyi Huang, Charles Koven, Matteo Detto, Ryan Knox, Gautam Bisht, Mario Bretfeld, Rosie A. Fisher
Summary: In tropical forests, soil hydrological parameters, particularly the scaling exponent of the soil retention curve, play crucial roles in controlling forest diversity, competition among species, and plant coexistence. The study highlights the importance of considering the joint effects of soil properties and vegetation characteristics in predicting tropical forest dynamics, with a focus on improving the interactions between soil functions and aboveground vegetation dynamics.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2022)
Article
Meteorology & Atmospheric Sciences
K. M. Fandrich, O. Elison Timm, C. Zhang, T. W. Giambelluca
Summary: This article examines the effects of anthropogenic forcing and the Pacific Decadal Oscillation (PDO) on near-term climate projections for the Hawaiian Islands. The results show that anthropogenic forcing leads to increased surface air temperature and rainfall, while the PDO has an opposite effect on rainfall patterns, causing some areas to become drier. However, natural variability continues to contribute to uncertainty in near-term rainfall projections.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Meteorology & Atmospheric Sciences
K. Sakaguchi, L. K. Berg, J. Chen, J. Fast, R. Newsom, S. L. Tai, Z. Yang, W. I. Gustafson, B. J. Gaudet, M. Huang, M. Pekour, K. Pressel, H. Xiao
Summary: The study focuses on quantifying spatial scales of land-atmosphere interactions over heterogeneous soil moisture patterns, using high-resolution numerical experiments. The simulations compare different scenarios of land cover and soil moisture, showing variations in surface sensible heat flux at different scales and secondary circulations induced by land cover variations. The results highlight the importance of considering non-linear effects of soil moisture variability in large-scale models, despite their small areal coverage.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Environmental Sciences
Xiaowen Huang, Dashan Wang, Alan D. Ziegler, Xiaoping Liu, Hui Zeng, Zhibo Xu, Zhenzhong Zeng
Summary: The impact of rapid urbanization on the spatiotemporal pattern of short-term extreme precipitation in China varies across different regions, with urban areas experiencing more extreme precipitation than suburbs. Urbanization also increases extreme precipitation during peak times in diurnal cycles. These patterns should be considered when assessing the risk of increased waterlogging and flash flooding in urban areas.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Environmental Sciences
Hisham Eldardiry, Tian Zhou, Maoyi Huang, Oriana S. Chegwidden
Summary: This study investigates the impacts of groundwater pumping on the regulated streamflow in the Columbia River Basin (CRB). The results show that considering additional groundwater withdrawals can alleviate irrigation water deficit and increase streamflow during dry periods in certain locations. However, the implementation of groundwater withdrawal does not improve the overall model performance in long-term averaged streamflow and storage predictions.
WATER RESOURCES RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Yu Feng, Zhenzhong Zeng, Timothy D. Searchinger, Alan D. Ziegler, Jie Wu, Dashan Wang, Xinyue He, Paul R. Elsen, Philippe Ciais, Rongrong Xu, Zhilin Guo, Liqing Peng, Yiheng Tao, Dominick Spracklen, Joseph Holden, Xiaoping Liu, Yi Zheng, Peng Xu, Ji Chen, Xin Jiang, Xiao-Peng Song, Venkataraman Lakshmi, Eric F. Wood, Chunmiao Zheng
Summary: This study used high-resolution satellite data to show the doubling of global tropical forest carbon loss in the twenty-first century, primarily driven by large-scale commodity and small-scale agriculture activities. The findings highlight the failure of existing strategies to reduce forest loss and the importance of monitoring deforestation trends.
NATURE SUSTAINABILITY
(2022)
Article
Geosciences, Multidisciplinary
Junyu Zou, Alan D. Ziegler, Deliang Chen, Gavin McNicol, Philippe Ciais, Xin Jiang, Chunmiao Zheng, Jie Wu, Jin Wu, Ziyu Lin, Xinyue He, Lee E. Brown, Joseph Holden, Zuotai Zhang, Sorain J. Ramchunder, Anping Chen, Zhenzhong Zeng
Summary: Carbon and nitrogen losses from degraded wetlands and methane emissions from flooded wetlands are important factors contributing to greenhouse gas emissions. The study shows that greenhouse gas emissions from wetlands are lowest when the water table is near the surface. Re-wetting wetlands can significantly reduce future emissions.
Article
Meteorology & Atmospheric Sciences
Shijing Liang, Dashan Wang, Alan D. Ziegler, Laurent Z. X. Li, Zhenzhong Zeng
Summary: The sixth assessment report of the IPCC indicates regional inconsistency in trends of extreme rainfall in the tropics, where the Madden-Julian Oscillation (MJO) plays a key role in intra-seasonal variations of weather. This study, using multiple models, finds that extreme rainfall in tropical Asia and Australia could increase by nearly 60% by the end of the 21st century under fossil-fueled warming scenario. Approximately 84% of this change is associated with MJO-induced extreme rainfall. The increase in extreme rainfall is influenced by the asymmetric changes in MJO phase characteristics.
NPJ CLIMATE AND ATMOSPHERIC SCIENCE
(2022)
Article
Environmental Sciences
Jiayu Xu, Junyu Zou, Alan D. Ziegler, Jie Wu, Zhenzhong Zeng
Summary: The capacity factor (CF) is an important parameter for measuring the performance and efficiency of wind turbines. This research utilizes a data-driven statistical method to study the impact of turbine aging, changes in wind speed, and technological improvements on CF. The study finds that wind increases contributed to a 10% increase in CF for old turbines, while technological improvements had a stronger positive effect on CF for new turbines. Rising wind speeds increased CF by approximately 5% per year, while technological improvements increased it by approximately 12%. Technological progress became the dominant driver in CF increase as the installed capacity of wind turbines grew.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Green & Sustainable Science & Technology
Yubin Jin, Shijie Hu, Alan D. Ziegler, Luke Gibson, J. Elliott Campbell, Rongrong Xu, Deliang Chen, Kai Zhu, Yan Zheng, Bin Ye, Fan Ye, Zhenzhong Zeng
Summary: In the near future, solutions that can support multiple sustainability goals related to clean energy and resource use efficiency will be crucial. This study estimates the potential of floating solar panels on reservoirs globally to generate renewable energy, reduce water losses, and conserve land. Floating photovoltaic systems on reservoirs have advantages over traditional ground-mounted solar systems in terms of land conservation, efficiency improvement, and water loss reduction.
NATURE SUSTAINABILITY
(2023)
Article
Development Studies
Phanwin Yokying, Sumeet Saksena, Jefferson Fox
Summary: This study examines the impacts of migration on the time allocation of left-behind family members in Nepal, specifically focusing on gender and age differences. Findings from the Nepal's Labor Force Survey reveal that when a family member migrates, women of working age tend to spend more time on agricultural and domestic work, while both men and women allocate more time towards collecting water and firewood. Migration also leads to an increase in non-agricultural responsibilities for girls and women. As a result, migration results in a loss of household labor supply and leads to a reshaping of household division of labor in labor-intensive activities and traditional gender roles.
JOURNAL OF INTERNATIONAL DEVELOPMENT
(2023)
Article
Geosciences, Multidisciplinary
Lionel Benoit, Lydie Sichoix, Alison D. Nugent, Matthew P. Lucas, Thomas W. Giambelluca
Summary: Stochastic rainfall generators are probabilistic models that simulate the space-time behavior of rainfall. They help identify and quantify the main modes of rainfall variability during parameterization and calibration. However, existing stochastic models face challenges in representing rainfall on tropical islands with high elevation topography due to localized orographic rain enhancement. To address this, a new stochastic daily multi-site rainfall generator specifically for areas with significant orographic effects is proposed. It classifies daily rain patterns into rain types based on rainfall space and intensity statistics and provides insights into rainfall variability at the island scale. The model combines non-parametric resampling and a parametric gamma transform function to simulate rainfall distribution and intensity. When applied to O'ahu (Hawai'i, United States of America) and Tahiti (French Polynesia), the model demonstrates good skills in simulating site-specific and island-scale rain statistics, making it a valuable tool for stochastic impact studies and water resource management in tropical islands.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
Article
Agronomy
Wenyi Xu, Bo Elberling, Per Lennart Ambus
Summary: The frequency and extent of wildfires in the Arctic have been increasing due to climate change. In this study, researchers conducted experiments in West Greenland to investigate the long-term impacts of climate warming on post-fire carbon dioxide exchange in arctic tundra ecosystems. They found that fire increased soil organic phosphorus concentrations and burned areas remained a net CO2 source five years after the fire. However, with four to five years of summer warming, the burned areas turned into a net CO2 sink.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Yuanhang Yang, Jiabo Yin, Shengyu Kang, Louise J. Slater, Xihui Gu, Aliaksandr Volchak
Summary: This study investigates the impacts of water and heat stress on carbon uptake in China and explores the driving mechanisms of droughts using a machine learning model. The results show that droughts are mostly driven by atmospheric dryness, with precipitation, relative humidity, and temperature playing dominant roles. Water and heat stress have negative impacts on carbon assimilation, and drought occurrence is projected to increase significantly in the future. Improving ecosystem resilience to climate warming is crucial in mitigating the negative effects of droughts on carbon uptake.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Ningbo Cui, Shunsheng Zheng, Shouzheng Jiang, Mingjun Wang, Lu Zhao, Ziling He, Yu Feng, Yaosheng Wang, Daozhi Gong, Chunwei Liu, Rangjian Qiu
Summary: This study proposes a method to partition evapotranspiration (ET) into its components in agroforestry systems. The method is based on water-carbon coupling theory and flux conservation hypothesis. The results show that the partitioned components agree well with measurements from other sensors. The study also finds that atmospheric evaporation demand and vegetation factors greatly influence the components of ET, and increased tree leaf area limits understory grass transpiration.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Xinhao Li, Tianshan Zha, Andrew Black, Xin Jia, Rachhpal S. Jassal, Peng Liu, Yun Tian, Chuan Jin, Ruizhi Yang, Feng Zhang, Haiqun Yu, Jing Xie
Summary: With the rapid increase of urbanization, evapotranspiration (ET) in urban forests has become increasingly important in urban hydrology and climate. However, there is still a large uncertainty regarding the factors that regulate ET in urban areas. This study investigates the temporal variations of ET in an urban forest park in Beijing using the eddy-covariance technique. The results show that daily ET is close to zero during winter but reaches 3-6 mm day-1 in summer. Daily ET increases with vapor pressure deficit (VPD) and soil water content (SWC). Monthly ET increases linearly with normalized difference vegetation index and shows a strong correlation with surface conductance (gs), while exhibiting saturated responses to increasing monthly precipitation (PPT). Annual ET ranges from 326 to 566 mm, and soil water replenishment through PPT from the previous year is responsible for the generally higher monthly ET in spring relative to PPT. Biotic factors and PPT seasonality play essential roles in regulating ET at different scales.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Zhaogang Liu, Zhi Chen, Meng Yang, Tianxiang Hao, Guirui Yu, Xianjin Zhu, Weikang Zhang, Lexin Ma, Xiaojun Dou, Yong Lin, Wenxing Luo, Lang Han, Mingyu Sun, Shiping Chen, Gang Dong, Yanhong Gao, Yanbin Hao, Shicheng Jiang, Yingnian Li, Yuzhe Li, Shaomin Liu, Peili Shi, Junlei Tan, Yakun Tang, Xiaoping Xin, Fawei Zhang, Yangjian Zhang, Liang Zhao, Li Zhou, Zhilin Zhu
Summary: This study investigates the responses of temperate grassland (TG) and alpine grassland (AG) to climate change by studying carbon (C) fluxes across different regions in China. The results reveal that water factors consistently increase C fluxes, while temperature factors have opposite effects on TG and AG. The study enhances our understanding of C sinks and grassland sensitivity to climate change.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Peng Li, Huijie Li, Bingcheng Si, Tao Zhou, Chunhua Zhang, Min Li
Summary: This study mapped the distribution of forest age on the Chinese Loess Plateau using the LandTrendr algorithm. The results show that the LT algorithm is a convenient, efficient, and reliable method for identifying forest age. The findings have important implications for assessing and quantifying biomass and carbon sequestration in afforestation efforts on the Chinese Loess Plateau.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Review
Agronomy
Yean-Uk Kim, Heidi Webber, Samuel G. K. Adiku, Rogerio de S. Noia Junior, Jean-Charles Deswarte, Senthold Asseng, Frank Ewert
Summary: As climate change is expected to increase the intensity and frequency of extreme weather events, it is crucial to assess their impact on cropping systems and explore adaptation options. Process-based crop models (PBCMs) have improved in simulating the impacts of major extreme weather events, but still struggle to reproduce low crop yields under wet conditions. This article provides an overview of the yield-loss mechanisms of excessive rainfall in cereals and the associated modelling approaches, aiming to guide improvements in PBCMs.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Xiaodong Liu, Yingjie Feng, Xinyu Zhao, Zijie Cui, Peiling Liu, Xiuzhi Chen, Qianmei Zhang, Juxiu Liu
Summary: Understanding the impact of climate on litterfall production is crucial for simulating nutrient cycling in forest ecosystems. This study analyzed a 14-year litterfall dataset from two subtropical forests in South China and found that litterfall was mainly influenced by wind speed during the wet season and by temperature during the dry season. These findings have potential significance in improving our understanding of carbon and nutrient cycling in subtropical forest ecosystems under climate change conditions.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Ruonan Chen, Liangyun Liu, Zhunqiao Liu, Xinjie Liu, Jongmin Kim, Hyun Seok Kim, Hojin Lee, Genghong Wu, Chenhui Guo, Lianhong Gu
Summary: Solar-induced chlorophyll fluorescence (SIF) has the potential to estimate gross primary production (GPP), but the quantitative relationship between them is not constant. In this study, a mechanistic model for SIF-based GPP estimation in evergreen needle forests (ENF) was developed, considering the seasonal variation in a key parameter of the model. The GPP estimates from this model were more accurate compared to other benchmark models, especially in extreme conditions.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Jingyi Zhu, Yanzheng Yang, Nan Meng, Ruonan Li, Jinfeng Ma, Hua Zheng
Summary: This study developed a random forest model using climate station and satellite data to generate high-precision precipitation datasets for the Qinghai-Tibet Plateau. By incorporating multisource satellite data, the model achieved a significant enhancement in precipitation accuracy and showed promising results in regions with limited meteorological stations and substantial spatial heterogeneity in precipitation patterns.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Yulin Yan, Youngryel Ryu, Bolun Li, Benjamin Dechant, Sheir Afgen Zaheer, Minseok Kang
Summary: Sustainable rice farming practices are urgently needed to meet increasing food demand, cope with water scarcity, and mitigate climate change. Traditional farming methods that prioritize a single objective have proven to be insufficient, while simultaneously optimizing multiple competing objectives remains less explored. This study optimized farm management to increase rice yield, reduce irrigation water consumption, and tackle the dilemma of reducing GHG emissions. The results suggest that the optimized management can maintain or even increase crop yield, while reducing water demand and GHG emissions by more than 50%.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Sasha D. Hafner, Jesper N. Kamp, Johanna Pedersen
Summary: This study compared micrometeorological and wind tunnel measurements using a semi-empirical model to understand wind tunnel measurement error. The results showed differences in emission estimates between the two methods, but the ALFAM2 model was able to reproduce emission dynamics for both methods when considering differences in mass transfer. The study provides a template for integrating and comparing measurements from different methods, suggesting the use of wind tunnel measurements for model evaluation and parameter estimation.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Wenfang Xu, Wenping Yuan, Donghai Wu, Yao Zhang, Ruoque Shen, Xiaosheng Xia, Philippe Ciais, Juxiu Liu
Summary: In the summer of 2022, China experienced record-breaking heatwaves and droughts, which had a significant impact on plant growth. The study also found that heatwaves were more critical than droughts in limiting vegetation growth.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Jiaqi Guo, Xiaohong Liu, Wensen Ge, Liangju Zhao, Wenjie Fan, Xinyu Zhang, Qiangqiang Lu, Xiaoyu Xing, Zihan Zhou
Summary: Vegetation photosynthetic phenology is an important indicator for understanding the impacts of climate change on terrestrial carbon cycle. This study evaluated and compared the abilities of different spectral indices to model photosynthetic phenology, and found that NIRv and PRI are effective proxies for monitoring photosynthetic phenology.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Arango Ruda Elizabeth, M. Altaf Arain
Summary: Temperate deciduous forests have significant impacts on regional and global water cycles. This study examined the effects of climate change and extreme weather events on the water use and evapotranspiration of a temperate deciduous forest in eastern North America. The results showed that photosynthetically active radiation and air temperature were the primary drivers of evapotranspiration, while vapor pressure deficit regulated water use efficiency. The study also found a changing trend in water use efficiency over the years, influenced by extreme weather conditions.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
