Article
Agronomy
Parichart Promchote, Shih-Yu Simon Wang, Jin-Ho Yoon, Paul G. Johnson, Earl Creech, Yuan Shen, Ming-Hwi Yao
Summary: In the subtropical climate of Taiwan, the cool season is most productive for rice cultivation. However, climate variability and warming temperatures are projected to impact rice growth and yield in the future. Higher temperatures during the early season will shorten the vegetative phase of rice, leading to earlier maturation. Additionally, decreased duration of crop growth and increased yield variability are expected, offsetting the fertilizing effect of increased CO2. Rice yield is projected to decline, despite the potential enhancement from higher CO2 levels.
Article
Agronomy
Erjing Guo, Xiaoguang Yang, Tao Li, Tianyi Zhang, Lloyed Ted Wilson, Xiaoyu Wang, Dongxiao Zheng, Yubin Yang
Summary: Northeast China has become one of the largest commercial rice production regions in China, but the competition for fresh water with non-agricultural sectors threatens national food security. Alternate wetting and drying (AWD) management significantly reduces water application and could be a water-saving technology to address the challenge of increasing water demand from non-agriculture sectors in the future.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Environmental Sciences
Weilu Wang, Shen Yuan, Chao Wu, Shenbing Yang, Weiyang Zhang, Yunji Xu, Junfei Gu, Hao Zhang, Zhiqin Wang, Jianchang Yang, Jianguo Zhu
Summary: This study evaluated the impact of climate change on rice yield and found that rising CO2 and temperature had negative effects, especially towards the end of the century. The findings may be useful for policymakers in developing strategies to improve future rice productivity in Southeastern China.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Agronomy
Louis Kouadio, Vivekananda M. Byrareddy, Alidou Sawadogo, Nathaniel K. Newlands
Summary: This study evaluated the accuracy of coffee yield forecasts using statistical models in major coffee-producing provinces in Vietnam. The models performed reasonably well, with stable errors for forecasts leading up to harvest. The flexibility and scalability of the forecasting system suggest potential for application to a larger number of coffee farms in the region.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Agronomy
Meng-Chun Tseng, Alvaro Roel, Ignacio Macedo, Muzio Marella, Jose Terra, Gonzalo Zorrilla, Cameron M. Pittelkow
Summary: Field-level assessments are crucial for developing sustainable management practices to increase crop production. This study in Uruguay found that early seeding and nitrogen rate were the most influential factors for closing the yield gap in rice production. The study highlights the importance of using large field-level datasets to quantify yield gaps and develop strategies for improving agricultural productivity.
FIELD CROPS RESEARCH
(2021)
Article
Agronomy
Bayuh Belay Abera, Kalimuthu Senthilkumar, Marc Cotter, Folkard Asch
Summary: The study found that transplanting rice can increase yield to a certain extent and extend vegetative development stages by approximately 15%. By combining appropriate rice genotypes with targeted crop management, it is possible to improve and stabilize yields in high-altitude rainfed rice farming systems.
JOURNAL OF AGRONOMY AND CROP SCIENCE
(2022)
Article
Biodiversity Conservation
Livia Paleari, Tao Li, Yubin Yang, Lloyd T. Wilson, Toshihiro Hasegawa, Kenneth J. Boote, Samuel Buis, Gerrit Hoogenboom, Yujing Gao, Ermes Movedi, Francoise Ruget, Upendra Singh, Claudio O. Stockle, Liang Tang, Daniel Wallach, Yan Zhu, Roberto Confalonieri
Summary: Crop models are powerful tools for breeding, but the relationship between plant traits and model parameters is often model-dependent. This study developed a trait-based multi-model ensemble approach to improve the design of rice plant types. By simulating different climate and management scenarios, the study showed the potential for yield improvement and highlighted the importance of phenological traits in crop adaptation to climate change.
GLOBAL CHANGE BIOLOGY
(2022)
Review
Plant Sciences
Mengting Qin, Ennan Zheng, Dingmu Hou, Xuanchen Meng, Fanxiang Meng, Yu Gao, Peng Chen, Zhijuan Qi, Tianyu Xu
Summary: The influence of global climate change on agricultural productivity is an ongoing concern. A database of future crop yield changes was developed, which found that maximum temperature, precipitation, adaptation measures, study area, and climate model had significant effects on changes in crop yield. Higher CO2 concentrations and suitable management strategies could mitigate the negative effects of warming temperatures, and crop yield with adaptation measures increased significantly compared to crop yield without adaptation measures. The results can guide policy and adaptation plans for increasing crop systems' resilience in the future.
Article
Agronomy
Abdusslam A. Houma, Md Rowshon Kamal, Md Abdul Mojid, Ahmad Fikri B. Abdullah, A. Wayayok
Summary: This study assessed the impacts of climate, irrigation practices, and weed control measures on lowland rice yield using the FAO-AquaCrop model. The model predicted an increase in yield under future climate scenarios, while also showing reduced yield under water stress and poor weed control. Projections suggest that proper weed control and water management practices will likely increase yield under changing climate conditions in the future.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Plant Sciences
Yanjun Zhang, Qilu Yu, Shilei Gao, Ningning Yu, Li Zhao, Jinbin Wang, Jiangzhe Zhao, Peng Huang, Linbo Yao, Mo Wang, Kewei Zhang
Summary: This study identifies the role of salicylic acid (SA) in rice immunity and yield. Increasing SA content in rice enhances resistance to pathogens without affecting yield. These findings provide new insights into the roles of SA in plant immunity and growth.
PLANT CELL AND ENVIRONMENT
(2022)
Article
Agriculture, Multidisciplinary
Gabriel Henrique de Olanda Souza, Lucas Eduardo Oliveira Aparecido, Rafael Fausto Lima, Guilherme Botega Torsoni, Alisson Gaspar Chiquitto, Jose Reinaldo Cabral de Moraes
Summary: This study aims to investigate the future changes in agroclimatic conditions for banana cultivation in Brazil. By analyzing data on average air temperature, annual rainfall, and soil texture, the current agroclimatic zoning was established. Global climate models were used to project future climate conditions, and maps were constructed using GIS technology.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2022)
Article
Plant Sciences
Anderson da Rosa Feijo, Vivian Ebeling Viana, Andrisa Balbinot, Marcus Vinicius Fipke, Gustavo Maia Souza, Luciano do Amarante, Luis Antonio de Avila
Summary: This study evaluated the effect of priming rice plants with water deficit during the vegetative stage on their tolerance to heat stress during anthesis, and the contribution of atmospheric CO2 concentration. The results showed that primed plants exhibited increased yield and number of panicles, and upregulated heat shock proteins, indicating induced cross-tolerance. These findings suggest that water deficit during the vegetative stage can reduce the impact of heat stress during flowering in rice.
Article
Agronomy
Jean-Martial Johnson, Mathias Becker, Elliott Ronald Dossou-Yovo, Kazuki Saito
Summary: Water scarcity poses a threat to irrigated agriculture in sub-Saharan Africa. Understanding farmers' perceptions and decision-making processes in relation to coping with water scarcity is crucial for improving local technologies and policies. This study investigated farmers' perception of water scarcity, adaptation strategies, and the factors influencing their adoption in irrigated rice schemes in dry climatic zones of West Africa. The findings showed that a large percentage of farming households had experienced water scarcity in the past 5 years. Farmers implemented various adaptation strategies, with water and soil conservation practices being the most popular. The adoption of multiple adaptation strategies varied between different regions and was influenced by factors such as belonging to farming associations and household gender composition.
AGRONOMY FOR SUSTAINABLE DEVELOPMENT
(2023)
Article
Food Science & Technology
Jean-Martial Johnson, Ali Ibrahim, Elliott Ronald Dossou-Yovo, Kalimuthu Senthilkumar, Yasuhiro Tsujimoto, Hidetoshi Asai, Kazuki Saito
Summary: This study examined the fertilizer use and its association with rice yield and yield gap in 24 sub-Saharan African countries. The results showed significant variations in fertilizer application rates and rice yield, suggesting the potential for increasing N and P rates to narrow the yield gap. Clusters of sites/countries were identified based on nutrient input and yield, providing insights for research and development strategies to improve yields and optimize nutrient use efficiencies. Further research is needed to investigate the low fertilizer use and its weak association with yield in rainfed systems.
GLOBAL FOOD SECURITY-AGRICULTURE POLICY ECONOMICS AND ENVIRONMENT
(2023)
Article
Environmental Sciences
Md Didarul Islam, Liping Di, Faisal Mueen Qamer, Sravan Shrestha, Liying Guo, Li Lin, Timothy J. J. Mayer, Aparna R. R. Phalke
Summary: This study developed a rapid rice yield estimation workflow and customized yield prediction model by integrating remote sensing and meteorological data with machine learning. Data quality issues, data processing issues, selecting a suitable machine learning model, and understanding the non-linear relationship between historical crop yield and remote sensing and meteorological factors were addressed. The study found that incorporating meteorological variables into the machine learning models improved estimation accuracy, and stacking multiple tree-based regression models achieved better accuracy.
Article
Computer Science, Software Engineering
Qian Fu, Xue Bai, Yafeng Zheng, Runsheng Du, Dongqing Wang, Tianyi Zhang
Summary: This research developed a visual learning analytics dashboard named VisOJ for the OJ system, which includes two types of user interfaces: teacher and student. The teacher interface helps teachers monitor students' learning status and provide feedback, while the student interface promotes students' self-reflection and self-regulation.
Article
Ecology
Xiaoxia Ling, Nanyan Deng, Dongliang Xiong, Shen Yuan, Shaobing Peng, Tao Li, Jianliang Huang
Summary: The reliability of crop models is crucial for their application in agricultural research and production. This study investigates the effect of observation variation on model prediction error and uncertainty through a two-year field experiment. The results show that model bias is the main factor contributing to overall prediction error, and model uncertainty becomes more significant when observation variation increases.
ECOLOGICAL MODELLING
(2023)
Article
Agronomy
Yanying Shi, Lizhi Wang, Shukun Jiang, Erjing Guo, Tao Li, Litao Zhou, Wenmeng Zhang, Haoyu Ma, Kaixin Guan, E. Li, Tianyi Zhang, Xiaoguang Yang
Summary: In Northeast China, the frequency and intensity of chilling events have been increasing, posing a risk to rice production. While previous studies have shown the detrimental effects of continuous chilling on rice grain yield, the effects of intermittent chilling at different growth stages have been rarely reported. This study conducted a temperature-controlled experiment to investigate the effects of continuous and intermittent chilling at the tillering, booting, and flowering stages on rice yield.
JOURNAL OF AGRONOMY AND CROP SCIENCE
(2023)
Article
Green & Sustainable Science & Technology
Tingting Liu, Yingjie Li, Mengqin Feng, Yan Chen, Tianyi Zhang
Summary: Mobile reading is seen as a promising method for achieving sustainable education goals. While there have been numerous studies on the mobile reading habits of young readers and their comprehension, there is little focus on college students in China and the factors affecting their engagement in mobile reading. This study aimed to investigate these factors, using interviews and qualitative content analysis. The participants were thirty college students from three universities in Shanghai, China. The results identified various factors influencing college students' engagement in mobile reading, including motivational needs, reading experience, efficacy, and strategies. The intention to be entertained was found to be the most common factor leading to engagement. However, students' difficulties in engaging stemmed from an imbalance between their needs and their engagement. Understanding these factors is crucial for improving mobile reading engagement and assisting college students' independent learning and sustainable development.
Article
Environmental Sciences
Xin Dong, Tianyi Zhang, Xiaoguang Yang, Tao Li
Summary: By establishing different scenarios representing the levels of chilling sensitivity, heat sensitivity, and maturity type, the study evaluates the performance of rice varieties in adapting to future climate change in Northeast China. The results suggest that late-maturing varieties have higher adaptability and greater potential for yield increase compared to low-sensitivity varieties, making them recommended as the primary breeding target for climate change adaptation in the region.
Article
Biophysics
Xin Dong, Tianyi Zhang, Xiaoguang Yang, Tao Li, Xichen Li
Summary: Rice in Northeast China has been positively affected by climate warming, leading to a 10% increase in yield since 1980. Currently, the decrease in chilling and increase in growing degree-day contribute to higher yields, while high-temperature extremes have a limited negative impact. However, as warming continues, the harmful effects of high-temperature extremes will outweigh other positive climate effects. Therefore, climate change mitigation and heat tolerance breeding measures are necessary for rice production in Northeast China.
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
(2023)
Article
Agriculture, Multidisciplinary
Yu-Hao Zhang, Shan-Shan Yang, Qi Zhang, Tian-Tian Zhang, Tian-Yi Zhang, Bo-Hang Zhou, Le Zhou
Summary: Based on the structural features of succinate dehydrogenase inhibitors (SDHIs) and targeted covalent inhibitors, N-phenylpropiolamides with a Michael acceptor moiety were designed to find new antifungal compounds. Nineteen compounds demonstrated potent inhibition activity on nine plant pathogenic fungi. Compound 13 showed complete inhibition of Physalospora piricola infection on apples at a concentration of 200 μg/mL over 7 days and exhibited high safety to plant germination and seedling growth. It was identified as an SDH inhibitor with comparable activity to the positive drug boscalid.
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
(2023)
Article
Plant Sciences
Yunyan Zhai, Tianyi Zhang, Yanbing Guo, Chenxi Gao, Lipan Zhou, Li Feng, Tao Zhou, Wang Xumei
Summary: The potential of rhubarb in treating various diseases has been revealed, and molecular markers have been developed to identify high-quality germplasms of rhubarb. The evolutionary history and biogeography of the rhubarb complex have also been elucidated. These findings contribute to a better understanding of the classification, divergence, and geographic distribution of rhubarb.
JOURNAL OF PLANT RESEARCH
(2023)
Article
Forestry
Li Feng, Lipan Zhou, Tianyi Zhang, Xumei Wang
Summary: Ecological niches play a crucial role in lineage diversification. Differentiated adaptation or movement patterns can occur within a species in response to climate change. This study examines the potential distribution ranges and niche dynamics of three intraspecific lineages of Quercus aquifolioides. The results show differentiated climatic niches among the lineages, with some areas of overlap. The study highlights the importance of modeling intraspecific responses to climate change and provides insights into lineage diversification within Q. aquifolioides.
Article
Green & Sustainable Science & Technology
Nan Xu, Xueshi Liang, Tianyi Zhang, Juexian Dong, Yuan Wang, Yi Qu
Summary: Hydrological connectivity is crucial for the stability and biodiversity of wetland ecosystems, and it has been significantly impacted by socio-economic activities, leading to the loss of biodiversity and degradation of ecological functions. This study focused on the wetland biodiversity hotspots in Sanjiang Plain and used a combination of the Systematic Conservation Planning method and hydrological connectivity indices to analyze the changes in hydrological connectivity. The findings revealed varying degrees of decline in hydrological connectivity within the identified hotspots between 1995 and 2015.
Article
Multidisciplinary Sciences
Junkai Sun, Zezhou Sun, Pengfei Wei, Bin Liu, Yaobing Wang, Tianyi Zhang, Chuliang Yan
Summary: This paper proposes a path planning algorithm based on the Theta* algorithm and Timed Elastic Band (TEB) algorithm to solve the difficulty of path planning resulting from the variable configuration of the wheel-legged robot for future deep space explorations. The proposed algorithm divides the path planning of the wheel-legged robot into the planning of the body path and the planning of the wheel path, by simplifying the body as a point using virtual obstacles. Hierarchical planning and multiple optimization algorithms are used to optimize and smooth the path. The simulations show that the proposed algorithm effectively plans the path of the wheel-legged robot by using variable configurations for different types of obstacles.
Article
Multidisciplinary Sciences
Wenmeng Zhang, Tianyi Zhang, Xiaoguang Yang
Summary: Crop-specific, high-resolution phosphorus rate information is crucial for sustainable agricultural fertilizer management in China. The current phosphorus fertilizer dataset based on coarse national statistics lacks accuracy and crop-specific information. This study utilized provincial and county-level data to generate detailed maps of phosphorus rate for rice, wheat, and maize from 2004 to 2016 (CN-P). CN-P provides improved spatial heterogeneity and more accurate estimates of phosphorus rate for each crop compared to the existing dataset. The CN-P dataset has great potential for modeling sustainable agricultural fertilizer management strategies and addressing phosphorus pollution.
Article
Agriculture, Multidisciplinary
Suliang Qiao, Zhijuan Liu, Zhentao Zhang, Zheng'e Su, Xiaoguang Yang
Summary: Against the background of global warming, heat stress has negatively affected the growth and development of spring maize plants in Northeast China. In this study, the spatio-temporal characteristics of heat stress were analyzed, including the number of heat stress days, heating degree days, and the percentage of stations with heat stress.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2023)
Proceedings Paper
Telecommunications
Tianyi Zhang, Hongwei Zhang, Zhibo Meng
Summary: This paper systematically investigates mmWave V2V broadcast, considering the unique properties of mmWave signal propagation in V2V environments as well as the impacts of directional antennas and interference. Through mathematical analysis and numerical simulation, the optimal range of beamwidth and the importance of carrier sensing range in V2V broadcast performance are identified.
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022)
(2022)
Article
Environmental Sciences
Yu Morino, Ying Li, Yuji Fujitani, Kei Sato, Satoshi Inomata, Kiyoshi Tanabe, Shantanu H. Jathar, Yoshinori Kondo, Tomoki Nakayama, Akihiro Fushimi, Akinori Takami, Shinji Kobayashi
Summary: Secondary organic aerosol (SOA) formed from vehicle exhaust is a significant contributor to urban particulate matter in the atmosphere. However, there are uncertainties in the simulation of SOA by air quality models due to differences in SOA formation between vehicle types, exhaust aftertreatment devices, and oxidation conditions. This study conducted smog chamber experiments to investigate the formation of SOA from different vehicles under different conditions. The results showed that there are differences in the formation of SOA and its precursors under different conditions, highlighting the need for further examination of the characteristics of SOA.
ENVIRONMENTAL SCIENCE-ATMOSPHERES
(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)
