Article
Environmental Sciences
Mulatu Liyew Berihun, Atsushi Tsunekawa, Nigussie Haregeweyn, Mitsuru Tsubo, Ayele Almaw Fenta, Kindiye Ebabu, Haimanote Kebede Bayabil, Yihun Taddele Dile
Summary: This study examines the impact of land use and management practices on runoff and sediment loss in the Ethiopian highlands. It finds that land use changes can significantly reduce water and soil erosion, and that improving vegetation cover and adopting best land management practices are effective and climate-resilient strategies.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Melissa S. Bukovsky, Jing Gao, Linda O. Mearns, Brian C. O'Neill
Summary: This study assessed the combined impacts of GHG-forced climate change and projected land-use changes in regional climate projections. The research found that different societal trends in land-use changes can significantly affect climate projections in various ways. Effects of urbanization and agricultural land-use changes on future climate warming were particularly notable, with urban areas experiencing greater temperature increases.
Article
Agriculture, Multidisciplinary
Mingxia Huang, Jing Wang, Bin Wang, De Li Liu, Puyu Feng, Qiang Yu, Xuebiao Pan, Siyi Li, Tengcong Jiang
Summary: This study aims to determine the uncertainty in simulating maize adaptation to future climate change with two adaptation options at four contrasting sites across China's Maize Belt. The results show that late planting and shifting cultivars have the potential to increase maize yields under future climate change.
AGRICULTURAL SYSTEMS
(2022)
Article
Environmental Studies
Pratap S. Birthal, Jaweriah Hazrana, Digvijay S. Negi, Subhash C. Bhan
Summary: The study found that climate change, particularly rising temperatures, negatively impacts crop yields in India. Different crops have varying responses to temperature, but this does not lead to significant shifts in cropping patterns. Therefore, prospects for adaptation through land use adjustments are limited.
Article
Environmental Sciences
R. S. Santos, Y. Zhang, M. F. Cotrufo, M. Hong, D. M. S. Oliveira, J. M. Damian, C. E. P. Cerri
Summary: The study found that the use of integrated crop-livestock (ICL) systems in the Matopiba region of Brazil can increase soil organic carbon (SOC) stocks, even in the presence of disruptive soil practices. Additionally, the projected climate scenarios had little impact on SOC dynamics, but the current management practices may lead to additional SOC loss.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Sciences
Guoyong Leng
Summary: The study found that drought has a probabilistic impact on US maize yield, with irrigation reducing yield loss risk. The diverse risk distribution patterns under different drought intensities emphasize the necessity of better representing drought effects at local scales.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Agronomy
Tangzhe Nie, Yi Tang, Yang Jiao, Na Li, Tianyi Wang, Chong Du, Zhongxue Zhang, Peng Chen, Tiecheng Li, Zhongyi Sun, Shijiang Zhu
Summary: Predicting the impact of future climate change on food security is crucial for sustainable food production. This study used calibrated AquaCrop model to predict future maize yield, actual crop evapotranspiration (ETa), and water use efficiency (WUE) under different irrigation scenarios. The results showed that deficit irrigation had a minor effect on maize yield when considering WUE.
Article
Environmental Sciences
Junfeng Tang, Ronald R. Swaisgood, Megan A. Owen, Xuzhe Zhao, Wei Wei, Mingsheng Hong, Hong Zhou, Zejun Zhang
Summary: The study found that land use patterns within protected areas have a significant impact on the suitability of giant panda habitat. Models that include land use variables performed better than climate-only models, with static land use models projecting more suitable habitat. The findings suggest that policies targeting improved land use practices can help mitigate the negative effects of climate change on pandas, and highlight the importance of managing and expanding the protected area system for panda population resilience.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Sciences
Nathan Johnson, Robert Gross, Iain Staffell
Summary: The study demonstrates that progress has been made in global decarbonisation efforts, but more effort is needed. Significant advancements have been made in some areas, while negligible or negative progress has been observed in others.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Yanjun Yang, Bo Tao, Liang Liang, Yawen Huang, Chris Matocha, Chad D. Lee, Michael Sama, Bassil El Masri, Wei Ren
Summary: This study utilized NDVI time series to analyze planting and harvesting dates for corn and soybean in Kentucky, finding delays in planting and harvesting dates for both crops, as well as an increase in growing season length for corn and a decrease for soybean. Sensitivity analysis showed planting dates were more affected by early season temperature, while harvesting dates were correlated with temperature throughout the entire growing season. Increased summer precipitation was found to be related to delayed corn harvesting dates in Kentucky. Additionally, delayed corn harvesting dates and extended growing season length were correlated with increased corn yield.
Article
Agronomy
Wei Wenyu, Kaisar Kashagan, Li Lanhai
Summary: This study proposes a quantitative method to estimate the sensitivity of crop yields to agro-technique development and temperature rise in Kazakhstan. The results show that crop yields will continue to increase until 2060 under future climate change scenarios, but the estimates of yield changes after 2060 are subject to great uncertainty. The impact of temperature rise on crop productivity will be greater in the southern and eastern areas than that in the central and western areas.
INTERNATIONAL JOURNAL OF PLANT PRODUCTION
(2022)
Article
Agronomy
Ye-Geon Kim, Hyun-Hwa Park, Hyo-Jin Lee, Hee-Kwon Kim, Yong-In Kuk
Summary: Climate change has resulted in disruptions to food systems, with a particularly alarming impact on global nutrition due to decreased grain production and reduced protein content and quality. This study examines the effects of temperature on barley growth and yield at different stages in four different climate areas. The research findings highlight variations in growth parameters, yield levels, soil composition, and mineral content between the group areas. The study concludes that certain areas are still not suitable for barley cultivation despite climate change.
Article
Food Science & Technology
S. Chandrasekhar, Vijay Laxmi Pandey, Soham Sahoo
Summary: This study/models the cropping decisions of Indian agricultural households and finds evidence of "stickiness" in crop choice, with farmers rarely switching to non-cereal crops within a cropping year, presenting challenges for crop diversification. The study also shows that irrigated plots are less likely to be left fallow and more likely to grow cereals.
Article
Agronomy
Xiaoxing Zhen, Weige Huo, Di Tian, Qiong Zhang, Alvaro Sanz-Saez, Charles Y. Chen, William D. Batchelor
Summary: A calibrated crop model was used to simulate county-level peanut yield and evaluate the impact of irrigation on climate change. The study provides a calibration and evaluation strategy that aggregates spatial heterogeneity of model inputs at the regional scale. It enhances the accuracy of simulating the impact of climate change on crop production.
EUROPEAN JOURNAL OF AGRONOMY
(2023)
Article
Agriculture, Multidisciplinary
Davide Cammarano, Bing Liu, Leilei Liu, Alexander C. Ruane, Yan Zhu
Summary: This study aimed to analyze the impacts of 1.5 and 2.0 degrees C scenarios on UK winter wheat through simulations, showing a potential increase in wheat yield by 2-8% under projected climate conditions. Farmers will need to take adaptation measures such as adjusting planting times and using climate-ready varieties to close the gap between future production and potential yield.
JOURNAL OF AGRICULTURAL SCIENCE
(2021)
Article
Agronomy
Yi Liu, Wenzhi Zeng, Chang Ao, Guoqing Lei, Jingwei Wu, Jiesheng Huang, Thomas Gaiser, Amit Kumar Srivastava
Summary: Drip irrigation under film mulch (DIUFM) and subsurface pipe drainage (SPD) are important measures in arid areas. A new H2DSWAP model was developed to investigate the coordinated operation mode of DIUFM and SPD. The model considers real-time evapotranspiration, root growth, and the interaction between crops and soil water and salt. The model shows improved simulation accuracy for soil water, soil salt, leaf area index, and yield. The model can guide the operation mode of DIUFM and SPD.
AGRICULTURAL WATER MANAGEMENT
(2022)
Review
Agronomy
Ixchel M. Hernandez-Ochoa, Thomas Gaiser, Kurt-Christian Kersebaum, Heidi Webber, Sabine Julia Seidel, Kathrin Grahmann, Frank Ewert
Summary: Intensive agriculture in Germany has negative environmental effects, and crop diversification with consideration of soil heterogeneities can be an alternative to improve resource use efficiency, ecosystem services, and biodiversity. Agroecosystem models can be used to design diversified new field arrangements, but current models have limitations in terms of crop interactions, crop species options, and soil heterogeneities. Combining static frameworks with dynamic agroecosystems models can be useful for designing and evaluating trade-offs for ecosystem services delivery and biodiversity. Improvements in modeling capabilities and higher data resolution are needed for simulating diversified cropping systems in new field arrangements.
AGRONOMY FOR SUSTAINABLE DEVELOPMENT
(2022)
Article
Environmental Sciences
Yanru Feng, Thuy Huu Nguyen, Muhammad Shahedul Alam, Lisa Emberson, Thomas Gaiser, Frank Ewert, Michael Frei
Summary: Tropospheric ozone poses a threat to crop production globally, particularly in densely populated countries undergoing economic transition. This study aimed to identify physiological traits contributing to yield losses or stability under ozone stress in 18 contrasting wheat cultivars. Results showed that foliar chlorophyll content and net CO2 assimilation rate of young leaves during grain filling were the most strongly correlated physiological traits with grain yield losses or stability.
ENVIRONMENTAL POLLUTION
(2022)
Article
Plant Sciences
Sibylle Dueri, Hamish Brown, Senthold Asseng, Frank Ewert, Heidi Webber, Mike George, Rob Craigie, Jose Rafael Guarin, Diego N. L. Pequeno, Tommaso Stella, Mukhtar Ahmed, Phillip D. Alderman, Bruno Basso, Andres G. Berger, Gennady Bracho Mujica, Davide Cammarano, Yi Chen, Benjamin Dumont, Ehsan Eyshi Rezaei, Elias Fereres, Roberto Ferrise, Thomas Gaiser, Yujing Gao, Margarita Garcia-Vila, Sebastian Gayler, Zvi Hochman, Gerrit Hoogenboom, Kurt C. Kersebaum, Claas Nendel, Jorgen E. Olesen, Gloria Padovan, Taru Palosuo, Eckart Priesack, Johannes W. M. Pullens, Alfredo Rodriguez, Reimund P. Roetter, Margarita Ruiz Ramos, Mikhail A. Semenov, Nimai Senapati, Stefan Siebert, Amit Kumar Srivastava, Claudio Stockle, Iwan Supit, Fulu Tao, Peter Thorburn, Enli Wang, Tobias Karl David Weber, Liujun Xiao, Chuang Zhao, Jin Zhao, Zhigan Zhao, Yan Zhu, Pierre Martre
Summary: Crop multi-model ensembles (MME) have been proven effective in improving simulation accuracy in modelling experiments, but their ability to capture crop responses to changes in sowing dates and densities needs further investigation. This study used a MME of 29 wheat crop models to predict the effects of changing sowing dates and rates on yield and yield components in New Zealand. The results showed that the MME performed well under standard sowing conditions, but failed to simulate early sowing and high sowing rates accurately. Improvements are needed in the models to account for tiller competition and early tiller senescence under these conditions.
JOURNAL OF EXPERIMENTAL BOTANY
(2022)
Article
Environmental Sciences
Ahsan Raza, Hella Ahrends, Muhammad Habib-ur-Rahman, Hubert Hueging, Thomas Gaiser
Summary: Water erosion is a soil degradation process affected by factors such as rainfall intensity, slope gradient, vegetation cover, soil characteristics, and management practices. This study used Taguchi's fractional factorial experiment design to investigate the interactions between these factors and soil erosion processes. The results showed that rainfall intensity had the highest contribution to sediment yield, and multiple linear regression models were developed to predict soil erosion at the sub-field scale. The findings suggest that Taguchi design can be reliably used for soil erosion modeling and risk assessments.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Multidisciplinary Sciences
Christian Simanjuntak, Thomas Gaiser, Hella Ellen Ahrends, Amit Kumar Srivastava
Summary: This study examines the impacts of climate change on maize production in South Africa, finding increasing temperatures and decreasing precipitation. The maize yield in Free State, Mpumalanga, and North West provinces shows a significant positive correlation with agrometerological variables, while KwaZulu-Natal is not influenced by climate factors.
SCIENTIFIC REPORTS
(2022)
Article
Automation & Control Systems
Jianhua Dong, Wenzhi Zeng, Lifeng Wu, Jiesheng Huang, Thomas Gaiser, Amit Kumar Srivastava
Summary: This study evaluated a bias correction method for the Numerical Weather Prediction (NWP) of Global Ensemble Forecast System V2 forecasts using the extreme gradient boosting (XGBoost) model. The method showed the best forecast performance compared to other methods tested. The forecast accuracy decreased as the lead time increased, and the forecast performance varied across different climatic regions in China. The XGBoost model combined with multi-factor bias correction was found to be effective in forecasting daily precipitation (P).
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Agronomy
Babacar Faye, Heidi Webber, Thomas Gaiser, Christoph Muller, Yinan Zhang, Tommaso Stella, Catharina Latka, Moritz Reckling, Thomas Heckelei, Katharina Helming, Frank Ewert
Summary: Most large scale studies assessing climate change impacts on crops are performed with simulations of single crops and with annual re-initialization of the initial soil conditions. This is in contrast to the reality that crops are grown in rotations, often with sizable proportion of the preceding crop residue to be left in the fields and varying soil initial conditions from year to year.
EUROPEAN JOURNAL OF AGRONOMY
(2023)
Article
Engineering, Civil
Guoqing Lei, Wenzhi Zeng, Thuy Huu Nguyen, Jicai Zeng, Haorui Chen, Amit Kumar Srivastava, Thomas Gaiser, Jingwei Wu, Jiesheng Huang
Summary: This study developed a soil-plant hydraulic model to investigate the interactions between soil-root hydraulic resistance variation and stomatal regulation under drought stress. The sensitive parameters of the model were analyzed and optimized using a field experiment with sunflower plants. The simulation results suggest that the responses of plants to stomatal regulation parameters are more active than to soil-root hydraulic resistance variation parameters, but the sensitivities to APD and CONTACT parameters increase as the soil dries.
JOURNAL OF HYDROLOGY
(2023)
Review
Environmental Sciences
Clara Oliva Goncalves Bazzo, Bahareh Kamali, Christoph Huett, Georg Bareth, Thomas Gaiser
Summary: Grasslands cover 30% of total terrestrial biomass and accurate estimation of aboveground biomass (AGB) is crucial for managing ecosystem sustainability. Unmanned aerial vehicles (UAVs) have emerged as a useful tool for estimating AGB in grasslands. This review summarizes recent research on UAV-based AGB estimation in grasslands and highlights the need for more diverse study locations and long-term studies to improve transferability and understanding of the methods.
Article
Agronomy
Grace Adusei, Moses Kwame Aidoo, Amit Kumar Srivastava, James Yaw Asibuo, Thomas Gaiser
Summary: Crop models were used to assess the impact of climate change on cowpea yield in soils with low phosphorous content in West Africa. The study found that under different socio-economic scenarios, cowpea biomass and yield would increase due to higher CO2 levels and shorter growing cycles.
ITALIAN JOURNAL OF AGRONOMY
(2023)
Article
Agronomy
Jian Gao, Wenzhi Zeng, Zhipeng Ren, Chang Ao, Guoqing Lei, Thomas Gaiser, Amit Kumar Srivastava
Summary: In this study, an innovative model integrating machine learning and swarm intelligence search algorithms was proposed to overcome the limitations of traditional fertilization decision methods. By applying ML algorithms such as random forest, extreme random tree, and extreme gradient boosting, and coupling them with the cuckoo search algorithm, an optimal fertilization strategy was discovered. The model achieved high yield simulation accuracy and significantly increased the average yields of maize, rice, and soybean crops in the study area.
Article
Agronomy
Aram Gorooei, Thomas Gaiser, Amir Aynehband, Afrasyab Rahnama, Bahareh Kamali
Summary: To find suitable farming management approaches in the semi-arid climate of Iran, an experiment combining three farm management practices with four crop rotation systems was set up. The results showed that using the integrated farming method increased chlorophyll content and improved wheat grain quality and quantity. Farming with organic matter inputs had higher protein contents compared to using inorganic inputs.
Article
Agronomy
Jasper Mohr, Andreas Tewes, Hella Ahrends, Thomas Gaiser
Summary: This study utilizes satellite time series data to analyze the relationship between sub-field heterogeneity of soil properties and crop growth patterns. The findings show that soil characteristics such as water holding capacity and altitude can explain the spatial distribution of crop growth.
Review
Pharmacology & Pharmacy
Jingjing Gao, Ziting Xia, Dilrasbonu Vohidova, John Joseph, James N. Luo, Nitin Joshi
Summary: Localized delivery of siRNA to the lungs has shown promising potential for treating various lung diseases. It allows for higher accumulation in the lungs compared to systemic delivery while minimizing distribution in other organs. However, research on this method is still limited, with only two clinical trials conducted so far.
ACTA PHARMACEUTICA SINICA B
(2023)
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)