Review
Agriculture, Multidisciplinary
Suo-meng Dong, Shao-qun Zhou
Summary: This article summarizes the molecular pathogenesis of potato late blight and current control strategies, emphasizing the importance of continuous improvement in efficient and sustainable management.
JOURNAL OF INTEGRATIVE AGRICULTURE
(2022)
Article
Agronomy
Jianzhao Tang, Dengpan Xiao, Jing Wang, Yang Li, Huizi Bai, Xuebiao Pan
Summary: This study evaluated the potential impact of climate change on potato yields in China and explored adaptation strategies through adjusting planting dates and cultivars. The results showed that different adaptation measures had varying effects on potato yields under different warming scenarios. By optimizing the combination of planting dates and cultivars, significant increases in potato yields can be achieved.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Review
Agronomy
Patrick L. Cahill, Ian C. Davidson, Javier A. Atalah, Chris Cornelisen, Grant A. Hopkins
Summary: Pests in bivalve aquaculture pose challenges to productivity and sustainability. Implementing integrated pest management (IPM) principles can improve economic and environmental outcomes. While IPM has been applied in some cases, data gaps and implementation barriers need to be addressed.
PEST MANAGEMENT SCIENCE
(2022)
Article
Biochemistry & Molecular Biology
Bailing Ren, Jingnan Cao, Yanqiu He, Sheng Yang, Jiang Zhang
Summary: RNA interference is a efficient technology for pest control, and expression of dsRNAs in transplastomic plants may have potential effects on non-target pests. The study showed that ACT plants had cross-resistance to another coleopteran insect with highly conserved nucleotide sequence, providing an opportunity for simultaneous control of different pests.
PESTICIDE BIOCHEMISTRY AND PHYSIOLOGY
(2021)
Article
Agronomy
Sahrish Naz, Shakeel Ahmad, Ghulam Abbas, Zartash Fatima, Sajjad Hussain, Mukhtar Ahmed, Muhammad Azam Khan, Ahmad Khan, Shah Fahad, Wajid Nasim, Sezai Ercisli, Carol Jo Wilkerson, Gerrit Hoogenboom
Summary: The study shows that planting dates and maturity stages of potato crops in spring and autumn have been significantly impacted by changes in temperature over the past few decades, with thermal trends, crop management practices, and cultivar changes also playing a role. Growers have implemented adaptation strategies in response to these trends.
EUROPEAN JOURNAL OF AGRONOMY
(2022)
Article
Environmental Sciences
Zijian Li
Summary: In this study, an indicator-based approach was proposed to assess honeybee exposure to pesticide residues in guttation drops. The results showed that pesticide application in Brazil may increase honeybee risks and suggested that the guttation exposure pathway should not be ignored, especially for moderately lipophilic compounds.
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
(2023)
Article
Environmental Sciences
Keiji Jindo, Misghina Goitom Teklu, Koen van Boheeman, Njane Stephen Njehia, Takashi Narabu, Corne Kempenaar, Leendert P. G. Molendijk, Egbert Schepel, Thomas H. Been
Summary: High population densities of the potato cyst nematodes (PCN), G. pallida and G. rostochiensis, have significant negative effects on potato production. This study explores the use of an unmanned vehicle (UAV) in detecting and estimating the impact of different densities of G. pallida on potato cultivars. The results show a relationship between the nematode population density and the UAV indices, indicating the potential use of UAVs in detecting and managing PCN infestations.
Article
Computer Science, Interdisciplinary Applications
Mahtab Karimpoor, G. Reza Nasiri, Sayyed Ehsan Monabbati
Summary: This paper examines two different scenarios of supply chain management under uncertain conditions, focusing on centralized decision-making and integrated coordination. The study shows that capacity planning plays a critical role in inventory management and cost reduction, while limited access to transport fleet requires effective planning and management measures to mitigate stock-out effects.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Management
Michel Siemon, Maximilian Schiffer, Grit Walther
Summary: Non-ferrous metal producers face numerous planning alternatives in global multi-plant networks. A generalized integrated purchasing and production planning model captures the complexities of purchasing, production, and material flow allocation in the network, leading to economic benefits in an industrial case study for a copper production network. The approach shows significant improvement in total contribution margin and highlights the advantages of integrated planning.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Construction & Building Technology
Stef H. A. Koop, Chloe Grison, Steven J. Eisenreich, Jan Hofman, Kees van Leeuwen
Summary: This study provides an analysis of integrated water resources management in cities across the globe and identifies a pattern of problem-shifting among cities. Success in integrated water resources management is crucial for achieving other sustainable development goals.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Fisheries
Pamela J. Woods
Summary: This paper uses the NOAA IEA approach as an example to study the challenge of managing under changing conditions. By comparing with the UNDP-GEF APF, it expands and operationalizes the concepts of managing for resilience versus change in EBM, and proposes steps for enhancing processes supporting planned adaptation in fisheries EBM.
ICES JOURNAL OF MARINE SCIENCE
(2022)
Review
Biotechnology & Applied Microbiology
James Hough, John D. Howard, Stephen Brown, David E. Portwood, Peter M. Kilby, Mark J. Dickman
Summary: Current strategies for crop pest control have limitations, with many pests developing resistance to traditional pesticides. dsRNA is emerging as a sustainable alternative for plant protection. However, the commercialization of dsRNA-based biocontrols requires large-scale production and effective delivery methods. Various production and delivery approaches are being explored, but challenges need to be addressed for widespread adoption of dsRNA biocontrols.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Mathematics, Interdisciplinary Applications
Wenxiu Li, Yuming Chen, Lihong Huang, Jiafu Wang
Summary: Based on the integrated pest management strategy, this study proposes and analyzes a Filippov predator-prey model, and investigates its dynamics and control strategies. The results show that proper control strategies can prevent the outbreak of pest disaster.
CHAOS SOLITONS & FRACTALS
(2022)
Review
Plant Sciences
Ulrike Gartner, Ingo Hein, Lynn H. Brown, Xinwei Chen, Sophie Mantelin, Sanjeev K. Sharma, Louise-Marie Dandurand, Joseph C. Kuhl, John T. Jones, Glenn J. Bryan, Vivian C. Blok
Summary: Potato cyst nematodes (PCN) are economically important pests with a worldwide distribution in all temperate regions where potatoes are grown. Resistant varieties are key for effective management of PCN infestations, and recent advances in potato genomics have provided tools for rapidly mapping resistance genes and developing molecular markers.
FRONTIERS IN PLANT SCIENCE
(2021)
Article
Environmental Sciences
Na Huang, Jialin Wang, Yu Song, Yuying Pan, Guolin Han, Ziyuan Zhang, Shangqian Ma, Guofeng Sun, Cong Liu, Zhihua Pan
Summary: Climate change has a significant impact on agricultural production, and adaptation measures can mitigate or exacerbate this impact. This study developed a comprehensive vulnerability assessment method to quantitatively assess the impacts of climate change and adaptation measures on agricultural production.
MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
(2022)
Article
Entomology
Veronica Canedo, Waldo Davila, Pablo Carhuapoma, Juergen Kroschel, Jan Kreuze
Summary: The study examined the effect of temperature on the development and reproduction of a parasitoid species, Apanteles subandinus, which is used to control the invasive potato tuber moth. The results showed that the parasitoid could complete its life cycle at temperatures between 15 and 30 degrees C. The optimal temperature for its reproduction was found to be 27 degrees C, while the highest population growth occurred at 26.78 degrees C.
JOURNAL OF APPLIED ENTOMOLOGY
(2022)
Article
Parasitology
Ritter A. Guimapi, Ingeborg Klingen, Henri E. Z. Tonnang, Paulin Nana
Summary: In order to reduce the use of chemical acaricides, researchers have tested the effectiveness of the fungal agent Metarhizium anisopliae against the brown ear tick Rhipicephalus appendiculatus in Africa. However, the relationship between the suitability of the fungus and climatic variables in East African countries is not yet clear. This study aims to design a temperature-dependent model to improve the control efficacy of M. anisopliae against different developmental stages of R. appendiculatus, and generate spatial predictions of potential epizootic areas in Kenya, Tanzania, and Uganda.
Article
Agronomy
Emily Kimathi, Elfatih M. Abdel-Rahman, Catherine Lukhoba, Asaah Ndambi, Bester Tawona Mudereri, Saliou Niassy, Henri E. Z. Tonnang, Tobias Landmann
Summary: This study investigated the impact of current and projected future climate change on the infestation of Striga hermonthica in western Kenya. The results showed that approximately 10% of the study area is currently highly suitable for Striga hermonthica occurrence, and future projections indicate a potential increase in suitable habitat. Elevation, annual precipitation, land use, temperature seasonality, and soil type were identified as important factors influencing the establishment of Striga hermonthica.
Article
Ecology
Francois Rebaudo, Titouan Soulard, Bruno Condori, Reinaldo Quispe-Tarqui, Paul-Andre Calatayud, Soledad Chavez Vino, Henri E. Z. Tonnang, Lucas Bessiere
Summary: A low-cost Internet of Things system has been developed to acquire microclimatic data at a high temporal resolution and make them available with dynamic visualizations and download capabilities. The system has been proven to be reliable in capturing microclimate in contrasting environments and has the potential to be used by scientists interested in real-time monitoring of environmental variables.
METHODS IN ECOLOGY AND EVOLUTION
(2023)
Article
Biology
Henri E. Z. Tonnang, Daisy Salifu, Bester T. Mudereri, Joel Tanui, Andrew Espira, Thomas Dubois, Elfatih M. Abdel-Rahman
Summary: Innovative methods in data collection and analytics, along with improved computational efficiency, are advancing pest and disease management. Tools such as open-data kits, research electronic data capture, and early warning-system applications have improved the efficiency of collecting various types of data. Additionally, the application of artificial intelligence and machine learning has contributed to the development of data analytics for the prediction and decision support of crop pests and diseases.
CURRENT OPINION IN INSECT SCIENCE
(2022)
Article
Environmental Sciences
Ines Jendritzki, Henri E. Z. Tonnang, Paul-Andre Calatayud, Christian Borgemeister, Tino Johansson, Lisa Biber-Freudenberger
Summary: Climate change is expected to have significant impacts on biodiversity and ecosystem services, particularly in the Global South where limited capacities for adaptation exist. In East Africa, climate change is already affecting agricultural crop production through increased losses from insect pests. This study predicts the current and future distribution of maize stem borer pests and their biological control agents in Eastern Africa. The results suggest that under more severe climate change, the effectiveness of biological control for managing these pests will be reduced, highlighting the need for adaptation measures in pest management strategies.
Article
Geosciences, Multidisciplinary
Mukundi Mukundamago, Timothy Dube, Bester Tawona Mudereri, Regis Babin, H. Michael G. Lattorff, Henri E. Z. Tonnang
Summary: Precise near real-time predictions are needed to monitor key pollinator species like Ceratina in order to improve surveillance. This study predicts the potential habitat suitability of Ceratina moerenhouti in the Eastern Afro-montane biodiversity hotspot in Kenya and evaluates three machine learning techniques and their ensemble model for prediction. The results show that currently 30% and 10% of the hotspot area in Murang'a and Taita Taveta counties are suitable for C. moerenhouti, but future projections indicate a slight decrease in suitable habitats.
PHYSICS AND CHEMISTRY OF THE EARTH
(2023)
Article
Environmental Sciences
Marian Adan, Henri E. Z. Tonnang, Klaus Greve, Christian Borgemeister, Georg Goergen
Summary: This study utilized time series data and NDVI computed from Landsat 8 imagery to monitor and quantify the damage caused by Fall armyworm in Western and Southern African countries. The results showed a correlation between FAW infestation and a decrease in vegetation productivity. NDVI can be used as a proxy to measure pest damage to vegetation productivity.
GEOCARTO INTERNATIONAL
(2023)
Article
Green & Sustainable Science & Technology
Henri E. Z. Tonnang, Bonoukpoe Mawuko Sokame, Mark Wamalwa, Saliou Niassy, Beatrice Wambui Muriithi
Summary: The disruptions caused by the COVID-19 pandemic have had a negative impact on food and nutritional security worldwide. This study proposes a framework to investigate the effects of COVID-19 on food supply chains in Eastern Africa, with Kenya and Rwanda as case studies. The results show that COVID-19 has adversely affected food and nutritional security in these countries.
Article
Entomology
John Muinde, Chrysantus M. Tanga, John Olukuru, Clifford Odhiambo, Henri E. Z. Tonnang, Kennedy Senagi
Summary: In recent years, farming black soldier fly larvae (BSFL) has gained popularity due to its usefulness in animal feed production and waste management. However, current production levels do not meet market demand. This study used data science and machine learning modeling approaches to determine optimal rearing conditions for improved BSFL farming. The random forest regressor algorithm provided the best prediction results, highlighting key variables that contribute to the expected larvae weight. By tuning production system parameters according to the ranked variables, BSFL production can be optimized, contributing to alleviating food insecurity.
Article
Multidisciplinary Sciences
N'dakpaze Gno-Solim Ela, Daniel Olago, Amwata Dorothy Akinyi, Henri E. Z. Tonnang
Summary: The geographical spread of invasive pests in Africa has been influenced by climate change, with environmental changes playing a significant role in their spreading and expansion. In Uganda, the occurrence of new tomato invasive insect pests has been increasing, and assessing the impact of climate variables on their occurrence provides insights for sustainable bio-invasion management. The study found that temperature and windspeed have increased significantly in some areas, while rainfall and humidity patterns have varied. The results highlight the importance of considering climate change in pest management practices and policies.
Article
Multidisciplinary Sciences
Elfatih M. Abdel-Rahman, Emily Kimathi, Bester Tawona Mudereri, Henri E. Z. Tonnang, Raphael Mongare, Saliou Niassy, Sevgan Subramanian
Summary: This study predicted the spatial distribution of fall armyworm in five east African countries using the MaxEnt model and various explanatory variables. The results showed that 27% of eastern Africa is currently at risk of fall armyworm establishment, and this risk is expected to increase in the future. It is recommended to integrate the modeling results into a dynamic platform for real-time predictions of fall armyworm occurrence and risk at the farm scale.
Article
Multidisciplinary Sciences
Maysoon A. A. Osman, Elfatih M. Abdel-Rahman, Joshua Orungo Onono, Lydia A. Olaka, Muna M. Elhag, Marian Adan, Henri E. Z. Tonnang
Summary: Mapping of land use/land cover (LULC) dynamics has been studied in the Gedaref landscape of Sudan using Landsat imageries and the random forest classifier. The results show significant changes in LULC, with cropland and settlement expansions and declines in forest and grassland. Future predictions suggest a slight increase in cropland area and a considerable decrease in forest area. These findings provide valuable information for land use planning and environmental conservation in the region.
Article
Environmental Sciences
Tobias Landmann, Michael Schmitt, Burak Ekim, Jandouwe Villinger, Faith Ashiono, Jan C. Habel, Henri E. Z. Tonnang
Summary: The diversity of stingless bees, butterflies, and dragonflies is higher in protected areas compared to unprotected areas in agro-ecological zones of Kenya and South Africa. A metric based on insect diversity and landscape naturalness is presented as a reliable tool for monitoring human impacts on biodiversity and informing conservation policy. The metric showed significant differences in biodiversity status values between protected and non-protected areas, while protected areas regardless of agro-ecology had similar values. This biodiversity status metric is applicable in data-scarce environments and useful for conservation actions and reporting.
COMMUNICATIONS EARTH & ENVIRONMENT
(2023)
Article
Mathematical & Computational Biology
Charlene N. T. Mfangnia, Henri E. Z. Tonnang, Berge Tsanou, Jeremy Herren
Summary: A recent discovery found that mosquitoes infected with Microsporidia MB cannot transmit Plasmodium to humans. This study proposes a compartmental model to understand the prevalence of MB-infected mosquitoes and shows that the low prevalence of MB-infected mosquitoes can be explained by the contribution of male-to-female horizontal transmission. Furthermore, the model identifies the parameters that have the greatest influence on the ratio of MB-positive to wild mosquitoes.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(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)
