Article
Biodiversity Conservation
Xinlei Ren, Jianbo Jia, Yu Chen, Yuwen Hu, Yifan Wang, Ruiqiao Wu, Lei Hu
Summary: This study used stable isotope techniques, specifically the sap-flow and lysimeter methods, to partition evapotranspiration into evaporation and transpiration components and evaluated the factors affecting the contribution of transpiration to evapotranspiration. The results showed seasonal variation in the contribution of transpiration to evapotranspiration. Both methods accurately simulated the partitioning of evapotranspiration and its seasonal variation.
ECOLOGICAL INDICATORS
(2022)
Article
Engineering, Civil
Di Wang, Guangyao Gao, Jinxia An, Yiming Shao, Yihe Lue, Bojie Fu
Summary: This study examines the impact of different scaling up methods on the estimation of stand transpiration in a shrub ecosystem. The results show that the choice of scaling up method significantly affects the estimated daily stand transpiration. The method based on cross-sectional area is considered the most suitable.
JOURNAL OF HYDROLOGY
(2022)
Article
Agronomy
Junbin Zhao, Holger Lange, Helge Meissner, Ryan M. Bright
Summary: This study compared the sap flow calculated using the Heat Field Deformation (HFD) method and the Linear Heat Balance (LHB) method. The results showed that although the two methods were consistent in diurnal and day-to-day patterns, there were differences in the estimated sap flow, with LHB underestimating sap flow in three trees and slightly overestimating sap flow in one tree. These discrepancies were mainly due to the low wood thermal conductivities and the sensitivity of the sap flow estimates to changes in empirical parameters. It is recommended to carefully evaluate the outputs of the LHB method depending on the individual characteristics of the trees.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Public, Environmental & Occupational Health
Matthew P. Fox, Richard F. MacLehose, Timothy L. Lash
Summary: Systematic error, including selection bias, uncontrolled confounding, and misclassification, is common in epidemiological research but rarely quantified. We provide computing code that can be customized for an analyst's dataset to implement quantitative bias analysis (QBA) for misclassification and uncontrolled confounding. We demonstrate the implementation of bias analyses using SAS and R, including adjustment for confounding and misclassification. The resulting bias-adjusted estimates can be compared to conventional results, and simulation intervals can be generated to evaluate the impact of bias on uncertainty.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
(2023)
Review
Ecology
Shinichi Nakagawa, Malgorzata Lagisz, Michael D. Jennions, Julia Koricheva, Daniel W. A. Noble, Timothy H. Parker, Alfredo Sanchez-Tojar, Yefeng Yang, Rose E. O'Dea
Summary: Publication bias poses a significant threat to the validity of quantitative evidence in meta-analyses, with some findings being overrepresented due to publication frequency or timing. Current methods to detect publication bias are inadequate for datasets with high heterogeneity and non-independence, common in ecology and evolutionary biology. A new multilevel meta-regression method is proposed to address these challenges and provide practical recommendations for researchers in the field.
METHODS IN ECOLOGY AND EVOLUTION
(2022)
Review
Gastroenterology & Hepatology
Alexander J. Kovalic, Glen Huang, Paul J. Thuluvath, Sanjaya K. Satapathy
Summary: This study found a higher prevalence of comorbidities such as coronary artery disease, cerebrovascular disease and chronic obstructive pulmonary disease in hospitalized Chinese patients with severe/critical COVID-19 infection. Abnormal liver chemistries, including elevated aspartate aminotransferase, total bilirubin, and decreased albumin levels, were also observed in severe cases.
Article
Cell Biology
Shrey Grover, Renata Fayzullina, Breanna M. Bullard, Victoria Levina, Robert M. G. Reinhart
Summary: This article presents a systematic review and meta-analysis of 102 published studies on the effects of transcranial alternating current stimulation (tACS) on cognitive function. The findings indicate that tACS treatment can lead to modest to moderate improvements in cognitive function, particularly in working memory, long-term memory, attention, executive control, and fluid intelligence. The study also highlights the potential of tACS for cognitive rehabilitation in older adults and individuals with neuropsychiatric illnesses.
SCIENCE TRANSLATIONAL MEDICINE
(2023)
Review
Clinical Neurology
Shubham Misra, Kavitha Kolappa, Manya Prasad, Divya Radhakrishnan, Kiran T. Thakur, Tom Solomon, Benedict Daniel Michael, Andrea Sylvia Winkler, Ettore Beghi, Alla Guekht, Carlos A. Pardo, Greta Karen Wood, Sherry Hsiang-Yi Chou, Ericka L. Fink, Erich Schmutzhard, Amir Kheradmand, Fan Kee Hoo, Amit Kumar, Animesh Das, Achal K. Srivastava, Ayush Agarwal, Tarun Dua, Kameshwar Prasad
Summary: Up to one-third of patients with COVID-19 experienced at least one neurologic manifestation in this review. 1 in 50 patients experienced stroke. In patients over 60 years of age, more than one-third had acute confusion/delirium; the presence of neurologic manifestations in this group was associated with nearly a doubling of mortality.
Article
Clinical Neurology
Katie M. Lavigne, Jiaxuan Deng, Delphine Raucher-Chene, Adele Hotte-Meunier, Chloe Voyer, Lisa Sarraf, Martin Lepage, Genevieve Sauve
Summary: Psychiatric disorders are characterized by cognitive deficits and cognitive biases, which are associated with specific symptoms. While cognitive biases are present across diagnoses, their severity varies.
PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
(2024)
Article
Multidisciplinary Sciences
Paddy Ssentongo, Yue Zhang, Lisa Witmer, Vernon M. Chinchilli, Djibril M. Ba
Summary: This study aimed to estimate the incidence of newly diagnosed diabetes in survivors of COVID-19. Meta-analysis of 8 studies revealed that COVID-19 was associated with a 66% higher risk of incident diabetes, and this risk was not influenced by age, sex, or study quality.
SCIENTIFIC REPORTS
(2022)
Review
Psychology, Multidisciplinary
Jiawei Li, Hui Ma, Hao Yang, Haoran Yu, Ning Zhang
Summary: This study aimed to explore the effect of cognitive bias modification on depression. Through the comprehensive analysis of 10 randomized studies, it was found that cognitive bias modification has a moderate therapeutic effect on depression, whether the training took place in the laboratory or at home, and it also has a statistically significant effect on moderate-to-severe depression.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Instruments & Instrumentation
M. Felizardo
Summary: In this work, an additional algorithm is applied to identify and validate signals generated by the nucleation of bubbles in calibrated superheated droplet detectors, demonstrating a 40-fold reduction in noise level and increased counting effectiveness of events with low amplitude.
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
(2021)
Article
Forestry
Xiaoxuan Gu, Hewei Zhao, Congjiao Peng, Xudong Guo, Qiulian Lin, Qiong Yang, Luzhen Chen
Summary: Mangrove forests are significant carbon sinks, and new high-resolution methods like sap flow investigation (SF) are being developed for evaluating their carbon sequestration capacity. Traditional methods like the LG and LA methods, while having their own advantages, are compared with the more convenient and efficient SF method in this study.
FOREST ECOLOGY AND MANAGEMENT
(2022)
Review
Plant Sciences
Jiaming Wang, Neil C. Turner, Hao Feng, Miles Dyck, Hailong He
Summary: Accurate measurement of plant transpiration is crucial for understanding plant water use and its impact on regional and global climate. Heat tracer-based sap flow (HTSF) techniques are widely used for estimating plant transpiration at the individual plant level. However, there is a lack of comprehensive analysis on HTSF methods. This study reviews the theories and categories of various HTSF methods and conducts a bibliometric analysis to explore the use of HTSF methods in measuring plant transpiration.
JOURNAL OF EXPERIMENTAL BOTANY
(2023)
Article
Mathematical & Computational Biology
Frantisek Bartos, Maximilian Maier, Eric-Jan Wagenmakers, Hristos Doucouliagos, T. D. Stanley
Summary: Publication bias is a significant threat to the validity of meta-analysis. Multiple methods have been developed to address this issue, but their performance depends on the data generating process. To overcome this problem, we propose a robust Bayesian meta-analysis and model-averaging approach that combines two prominent methods of adjusting for publication bias. This approach provides a more reliable estimation of the effect and evidence for its presence or absence.
RESEARCH SYNTHESIS METHODS
(2023)
Article
Plant Sciences
Sarah Verbeke, Carmen Maria Padilla-Diaz, Clara Martinez-Arias, Willem Goossens, Geert Haesaert, Kathy Steppe
Summary: During stem elongation, wheat increases stem carbohydrate content as a reserve for grain filling before anthesis. However, the hydraulic functioning during this mobilization process is not well understood, and the direct effect of drought on carbohydrate mobilization remains contradictory. In a dedicated experiment, wheat plants subjected to drought stress showed unexpected patterns that couldn't be explained by current knowledge on water transport.
Article
Plant Sciences
Marielle Gattmann, Scott A. M. McAdam, Benjamin Birami, Roman Link, Daniel Nadal-Sala, Bernhard Schuldt, Dan Yakir, Nadine K. Ruehr
Summary: This study investigated the stomatal, hydraulic, and morphological adjustments of Aleppo pine seedlings under elevated CO2 concentrations. The findings showed that increased CO2 levels significantly reduced leaf transpiration and led to anatomical adjustments, but did not affect drought sensitivity.
Article
Plant Sciences
Emilie Isasa, Roman Mathias Link, Steven Jansen, Fon Robinson Tezeh, Lucian Kaack, Juliano Sarmento Cabral, Bernhard Schuldt
Summary: The relationship between water potential and vessel diameter is significant, with wider vessels being more vulnerable. Species with thick pit membranes and narrow vessels are more resistant to embolism. This relationship is consistent among species, but not within species.
Article
Agronomy
Weijie Zhang, Martin Jung, Mirco Migliavacca, Rafael Poyatos, Diego G. Miralles, Tarek S. El-Madany, Marta Galvagno, Arnaud Carrara, Nicola Arriga, Andreas Ibrom, Ivan Mammarella, Dario Papale, Jamie R. Cleverly, Michael Liddell, Georg Wohlfahrt, Christian Markwitz, Matthias Mauder, Eugenie Paul -Limoges, Marius Schmidt, Sebastian Wolf, Christian Bruemmer, M. Altaf Arain, Silvano Fares, Tomomichi Kato, Jonas Ardo, Walter Oechel, Chad Hanson, Mika Korkiakoski, Sebastien Biraud, Rainer Steinbrecher, Dave Billesbach, Leonardo Montagnani, William Woodgate, Changliang Shao, Nuno Carvalhais, Markus Reichstein, Jacob A. Nelson
Summary: We evaluated the underestimation of latent heat flux (LE) associated with high relative humidity (RH) for different eddy covariance (EC) systems using the FLUXNET2015 dataset. We found that closed-path EC systems showed the most significant underestimation when RH was above 70%, and the extent of underestimation varied among sites. We proposed a machine learning-based method to correct this underestimation and compared it with two energy balance closure-based LE correction approaches. Our results highlight the importance of considering the high RH bias in water fluxes when estimating ecosystem T/ET and WUE.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Biodiversity Conservation
Christoph Bachofen, Rafael Poyatos, Victor Flo, Jordi Martinez-Vilalta, Maurizio Mencuccini, Victor Granda, Charlotte Grossiord
Summary: Temperature rise and droughts will alter forest transpiration and affect the global water cycle. The tree responses to increased VPD and reduced SWC are not fully understood due to long-term adjustments to local environmental conditions.
JOURNAL OF APPLIED ECOLOGY
(2023)
Article
Plant Sciences
Richard L. Peters, Kathy Steppe, Christoforos Pappas, Roman Zweifel, Flurin Babst, Lars Dietrich, Georg von Arx, Rafael Poyatos, Marina Fonti, Patrick Fonti, Charlotte Grossiord, Mana Gharun, Nina Buchmann, David N. Steger, Ansgar Kahmen
Summary: Trees remain hydrated during drought by reducing canopy conductance and closing stomata. The control of canopy conductance is proposed to optimize hydraulic safety against carbon assimilation efficiency. However, the relationship between canopy conductance and stem rehydration remains unclear. This study investigated the species-specific responses of canopy conductance and found that it is weakly related to water potential, but strongly related to stem rehydration. The findings highlight the importance of stem rehydration in water-use regulation in mature trees.
Editorial Material
Environmental Sciences
Roman Zweifel, Christoforos Pappas, Richard L. Peters, Flurin Babst, Daniel Balanzategui, David Basler, Ana Bastos, Mirela Beloiu, Nina Buchmann, Arun K. Bose, Sabine Braun, Alexander Damm, Petra D'Odorico, Jan U. H. Eitel, Sophia Etzold, Patrick Fonti, Elham Rouholahnejad Freund, Arthur Gessler, Matthias Haeni, Guenter Hoch, Ansgar Kahmen, Christian Korner, Jan Krejza, Frank Krumm, Michael Leuchner, Christoph Leuschner, Mirko Lukovic, Jordi Martinez-Vilalta, Radim Matula, Henning Meesenburg, Patrick Meir, Roman Plichta, Rafael Poyatos, Brigitte Rohner, Nadine Ruehr, Roberto L. Salomon, Tobias Scharnweber, Marcus Schaub, David N. Steger, Kathy Steppe, Christopher Still, Marko Stojanovic, Volodymyr Trotsiuk, Yann Vitasse, Georg von Arx, Martin Wilmking, Cedric Zahnd, Frank Sterck
Summary: Forests account for a significant amount of the world's biomass and biodiversity. To better understand forest dynamics, a global monitoring network is needed. This network should be capable of connecting existing monitoring sites and providing real-time data for assessments and predictions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Forestry
Eric Wahlsteen, Evangelia V. Avramidou, Gregor Bozic, Rida Mohammed Mediouni, Bernhard Schuldt, Halina Sobolewska
Summary: Acer campestre is a European tree species with limited silvicultural management. The genetic structure of this species shows a longitudinal pattern and exhibits three gene pools. The study supports the hypothesis of three refugia prior to the last glacial maximum. Additionally, the species displays typical population diversity decrease and surfing alleles in the western expansion axis.
TREE GENETICS & GENOMES
(2023)
Article
Environmental Sciences
Paulo Bittencourt, Lucy Rowland, Stephen Sitch, Rafael Poyatos, Diego G. G. Miralles, Maurizio Mencuccini
Summary: Tree-level sap flow data can be used to evaluate the quality of global transpiration products and identify issues and assumptions in models. By comparing it with global transpiration products, inconsistencies under extreme climatic conditions can be detected, providing the basis for model improvement.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2023)
Article
Horticulture
Paulien De Clercq, Els Pauwels, Seppe Top, Kathy Steppe, Marie-Christine Van Labeke
Summary: In order to cope with climate change and water scarcity, sustainable irrigation practices are necessary in the ornamental sector. Seaweed extracts, particularly Ascophyllum nodosum, have shown potential in improving plant tolerance to drought stress. This study investigated the effects of seaweed extracts and a microbial biostimulant on container-grown Hydrangea paniculata under drought conditions for two years. The results showed that reduced irrigation led to decreased stomatal conductance, biomass production, and root development, but increased plant compactness. The biostimulants had minor effects, with the A. nodosum extract promoting longer branches and more biomass under deficit irrigation and the Ecklonia maxima extract negatively affecting branching under repeated drying and wetting cycles.
Article
Plant Sciences
Yuta Miyoshi, Jens Mincke, Jonathan Vermeiren, Jan Courtyn, Christian Vanhove, Stefaan Vandenberghe, Naoki Kawachi, Kathy Steppe
Summary: Photosynthate translocation from leaves to fruits is crucial for crop yield and quality in protected cultivation. The response of photosynthate translocation to environmental factors, particularly during twilight, has been understudied. This study focuses on the impact of light intensity on translocation under high relative humidity during twilight conditions. The results show that there is no clear relationship between translocation and light intensity, but a strong negative correlation between transpiration rate and translocation rate. These findings highlight the importance of transpiration in driving photosynthate translocation towards fruits in twilight conditions.
ENVIRONMENTAL AND EXPERIMENTAL BOTANY
(2023)
Review
Plant Sciences
Laura Fernandez-de-Una, Jordi Martinez-Vilalta, Rafael Poyatos, Maurizio Mencuccini, Nate G. McDowell
Summary: Observations have shown that larger trees have higher mortality than smaller trees during droughts, which has sparked interest in understanding the size-dependent drought-induced mortality. However, the physiological mechanisms behind this phenomenon are not well understood, with height-associated hydraulic constraints being suggested as a potential mechanism. This study quantitatively synthesizes the changes in key traits related to plant water and carbon economy with tree height within species, and assesses the implications of different constraints and compensations on the mechanisms affecting tree vulnerability to drought.
Article
Plant Sciences
S. S. Paligi, R. M. Link, E. Isasa, P. Bittencourt, J. S. Cabral, S. Jansen, R. S. Oliveira, L. Pereira, B. Schuldt
Summary: The increasing frequency of global change-type droughts has created a need for fast, accurate and widely applicable techniques for estimating xylem embolism resistance to improve forecasts of future forest changes. This study compared two rapid methods for constructing xylem vulnerability curves and evaluated their agreement and sensitivity to measurement duration. The results highlight the value of the Pneumatron as an easy and reliable tool to estimate embolism thresholds for a wide range of temperate angiosperms.
Article
Plant Sciences
Peter Petrik, Anja Petek-Petrik, Mohammad Mukarram, Bernhard Schuldt, Laurent J. Lamarque
Summary: The increasing evaporative demand due to climate change will significantly affect the balance of carbon assimilation and water losses of plants worldwide. The development of crop varieties with improved water-use efficiency (WUE) will be critical for adapting agricultural strategies under predicted future climates. This review aims to summarize the most important leaf morpho-physiological constraints of WUE in C-3 plants and identify gaps in knowledge.
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)