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
Environmental Sciences
Balsher Singh Sidhu
Summary: The 2022 Indian heatwave had a significant impact on wheat production in northwestern and central India, resulting in an expected 4.5% decrease in national wheat production. Through the use of historical data and statistical relationships, we provided spatially disaggregated estimates of wheat yield losses, demonstrating the feasibility of using real-time weather data to estimate end-of-season crop yields.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Environmental Sciences
Ethan D. Coffel, Corey Lesk, Jonathan M. Winter, Erich C. Osterberg, Justin S. Mankin
Summary: Maize and soy production in the US has increased rapidly, reducing crop-damaging high temperatures. Agricultural intensification has created a crop-climate feedback, where increased crop production cools the local climate and benefits crop yields. The increased production of maize and soy has reduced warming effects and boosted crop yields, but a stagnation in production could expose crops to more harmful heat extremes.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Environmental Sciences
Robert Becker Pickson, Peng Gui, Ai Chen, Elliot Boateng
Summary: The past few decades of extreme drought and flooding have significantly affected global agricultural production. This study focuses on maize and rice in China and provides a comprehensive analysis of how these crops are affected by climate change. The results show that temperature increases have a significant impact on maize production, while rainfall patterns have no significant effect on rice production.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
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
Wen-Sheng Liu, Wen-Xuan Liu, Zheng-Rong Kan, Jin-Sai Chen, Xin Zhao, Hai-Lin Zhang
Summary: Climate change significantly affects climatic conditions and crop productivity. Conservation tillage can increase the storage of soil organic carbon (SOC), but the effects of different tillage methods and straw management practices on SOC storage and crop production are not clear. Under conservation tillage, SOC content and storage in the 0-10 cm soil layer were significantly higher compared to other treatments, while SOC content and storage in the 10-30 cm layer were lower compared to conventional tillage with straw retention. Straw retention treatment was beneficial for SOC storage. Wheat yield was lowest under conservation tillage with straw retention, and maize yield did not significantly differ between conservation tillage with straw retention and conventional tillage with straw retention.
EUROPEAN JOURNAL OF AGRONOMY
(2022)
Article
Agriculture, Multidisciplinary
Tony W. Carr, Juraj Balkovic, Paul E. Dodds, Christian Folberth, Rastislav Skalsky
Summary: Water erosion can lead to the loss of soil nutrients and carbon, as well as topsoil in extreme cases. This study found that maize and wheat yields are reduced by 3% annually in areas affected by water erosion, resulting in a global annual production loss of 8.9 million tonnes and 5.6 million tonnes respectively. Countries with heavy rainfall, hilly agricultural regions and low fertilizer use such as South and Southeast Asia, sub-Saharan Africa and South and Central America are most vulnerable to water erosion.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2021)
Article
Environmental Sciences
Mandeep Bhardwaj, Pushp Kumar, Siddharth Kumar, Vishal Dagar, Ashish Kumar
Summary: This study examines the impact of climate change on wheat and rice yield in Punjab, India from 1981 to 2017. Various statistical methods are employed, and the findings suggest that minimum temperature has a positive effect on both crops while maximum temperature negatively affects their yield. Additionally, excess rainfall is found to be detrimental to wheat production. The study concludes by recommending the government to invest in stress-tolerant varieties of wheat and rice, manage crop residuals, and sustain natural resources for ensuring food security.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Agronomy
Hao Quan, Dianyuan Ding, Lihong Wu, Ruonan Qiao, Qin'ge Dong, Tibin Zhang, Hao Feng, Lianhai Wu, Kadambot H. M. Siddique
Summary: This study utilized crop models to evaluate the effects of different management systems under future climate change conditions, showing that transparent film mulching and high water and fertilizer utilization can increase maize yield. Proper irrigation schemes are crucial for maintaining maize production in future arid areas.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Plant Sciences
Shengbao Wei, Anchun Peng, Xiaomin Huang, Aixing Deng, Changqing Chen, Weijian Zhang
Summary: The study found that the interaction between climate and soil has a significant impact on wheat and maize yield, and optimizing the fertilization regime can promote positive interactions between the two.
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
Food Science & Technology
Toshichika Iizumi, Imad-Eldin A. Ali-Babiker, Mitsuru Tsubo, Izzat S. A. Tahir, Yasunori Kurosaki, Wonsik Kim, Yasir S. A. Gorafi, Amani A. M. Idris, Hisashi Tsujimoto
Summary: Climate warming poses challenges for wheat production in Sudan, where demand is expected to triple by 2050. Advanced crop modeling shows that despite efforts to adapt through adjusted sowing dates and heat-tolerant varieties, domestic production share may still decrease in the future. Different regions will require varying rates of yield growth to meet the challenges of climate warming and increased demand.
Article
Agronomy
Xiaopei Yi, Naijie Chang, Wuhan Ding, Chi Xu, Jing Zhang, Jianfeng Zhang, Hu Li
Summary: This study evaluates the impact of climate change on a typical wheat-corn rotation system and proposes adaptive strategies. The results show that adjusting crop planting time, using cold-resistant varieties, straw return, fertigation, and selecting drought-resistant varieties can reduce the net greenhouse effect and maintain yields.
Article
Multidisciplinary Sciences
Terence Epule Epule, Abdelghani Chehbouni, Driss Dhiba, Daniel Etongo, Fatima Driouech, Youssef Brouziyne, Changhui Peng
Summary: This study in Cameroon assesses the vulnerability of maize, millet, and rice to growing season precipitation at both national and sub-national scales. The results show that millet has the lowest vulnerability index nationally, while rice has the highest. An inverse relationship between vulnerability and adaptive capacity is observed, with rice having the lowest adaptive capacity and the highest vulnerability index.
Article
Agriculture, Multidisciplinary
Jiujiang Wu, Yuhui Gu, Kexin Sun, Xuguang Xing, Xiaoyi Ma
Summary: The Huang-Huai-Hai Plain is the main agricultural area in China. Climate change and crop management are factors affecting winter wheat net primary production in this region. Crop management has a greater influence on winter wheat aboveground NPP than climate change, but its contribution decreases with the development of winter wheat. In regions with low temperatures and limited precipitation, climate change becomes the dominant factor contributing to NPP, suggesting the selection of varieties resilient to drought and cold.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2023)
Article
Agronomy
Yuexia Sun, Shuai Zhang, Fulu Tao, Rashad Aboelenein, Alia Amer
Summary: This study used the Random Forest method to estimate winter wheat yield in China by integrating satellite data, climate data, and geographic information, demonstrating higher accuracy compared to the multiple linear regression method. The use of climate data and geographic information can significantly improve yield estimation accuracy.
Article
Geosciences, Multidisciplinary
Yexuan Liu, Wenjiao Shi, Fulu Tao, Xiaoli Shi, Bojie Fu
Summary: This study estimated the water storage capacity of forest ecosystems in the canopy, litter, and soil layers on a global scale. The results showed that the global mean water storage capacity per unit area was 456.7 mm, with a total volume of 22,662.5 km(3). Climatic variables were found to be the main factors influencing water storage capacity, followed by forest attributes, terrain factors, soil properties, and litter characteristics. This study improves our understanding of the large-scale variation mechanisms of water storage capacity in different forest types and climate zones and provides scientific evidence for ecological protection based on local conditions.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Plant Sciences
Yibo Li, Fulu Tao, Yuanfeng Hao, Jingyang Tong, Yonggui Xiao, He Zhang, Zhonghu He, Matthew Reynolds
Summary: Genetic markers can be used in combination with eco-physiological crop models to accurately predict genotype performance and the contributions of individual markers in specific environments. In this study, a marker-based eco-physiological model was developed for wheat yield prediction and ideotype design, using genetic coefficients derived from loci discovered through genome-wide association studies (GWAS). The results showed that the identified loci explained a significant portion of the variations in cultivar genetic coefficients. The marker-based model demonstrated good performance in simulating observed yield and maturity dates.
PLANT CELL AND ENVIRONMENT
(2023)
Article
Environmental Sciences
Zhiwei Xie, Mingliang Yuan, Fengyuan Zhang, Min Chen, Meng Tian, Lishuang Sun, Guoqing Su, Ruizhao Liu
Summary: This research proposes a method for identifying spatial structure of urban agglomerations based on complex networks using nighttime light data and railway data. The results show that this method has the highest accuracy compared to other methods. Additionally, the distribution pattern of Chinese urban agglomerations in the study area is vertical and shows an unbalanced trend in development.
Article
Agronomy
Yibo Li, Fulu Tao, Yuanfeng Hao, Jingyang Tong, Yonggui Xiao, Zhonghu He, Matthew Reynolds
Summary: Extreme temperature, particularly heat stress, is reducing wheat production and causing significant yield loss worldwide. This study identified 23 extreme high temperature-tolerant wheat cultivars and traits associated with extreme high temperature tolerance. It was found that traits such as radiation use efficiency, plant height, thousand-grain weight, and flag leaf width were indicative of yield in different temperature conditions and had a high heritability. Additionally, 203 loci associated with these traits were identified, and a specific chromosomal region was linked to multiple traits, highlighting the genetic effect on yield. These findings provide valuable information for selecting climate-resilient wheat cultivars and facilitating marker-assisted breeding in a changing climate.
EUROPEAN JOURNAL OF AGRONOMY
(2023)
Article
Environmental Sciences
Tiewei Li, Lanlan Guo, Bin He, Lianyou Liu, Wenping Yuan, Xiuzhi Chen, Xingming Hao, Xuebang Liu, Hao Zheng, Huan Zheng, Rui Wang
Summary: More frequent droughts are changing the European forest ecosystem, impacting the global carbon cycle. Tree height plays a role in forests' resistance to drought, with taller forests showing higher resistance and shorter forests experiencing larger negative effects. The capacity for water absorption and regulation differs between forests of different heights, contributing to these resistance differences. This research provides insight into tree-level function and its implications for future droughts.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2023)
Article
Environmental Sciences
Renjie Guo, Tiexi Chen, Xin Chen, Wenping Yuan, Shuci Liu, Bin He, Lin Li, Shengzhen Wang, Ting Hu, Qingyun Yan, Xueqiong Wei, Jie Dai
Summary: In this study, a machine learning model (random forest) was used to establish a global GPP data set named ECGC_GPP. The model distinguished nine functional plant types and estimated monthly GPP data from 1999 to 2019. The results showed a significant contribution of LAI to the monthly variation of GPP, and an upward trend in annual GPP during the study period. The use of plant functional type classification improved the estimation accuracy of cropland GPP.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2023)
Article
Agronomy
Yibo Li, Fulu Tao
Summary: This study investigates the variations of rice growth and yield with climate variables in different climate zones across China, and finds that the response of rice to climate variations differs among regions and is influenced by varietal traits.
FIELD CROPS RESEARCH
(2023)
Article
Environmental Sciences
Xianlei Fan, Edith Bai, Jing Zhang, Xuhui Wang, Wenping Yuan, Shilong Piao
Summary: Soil organic carbon mainly comes from plants through litter decomposition. A new submodel for litter decomposition incorporating the microbial biomass effect was developed based on the Michaelis-Menten kinetics. The submodel was coupled with plant and soil submodels to simulate carbon cycling in US ecosystems. The transfer efficiency of carbon from plants to soil was quantified, providing an empirical proxy for diagnosing ecosystem carbon cycling and projecting carbon fluxes and pool sizes in response to climate change.
GLOBAL BIOGEOCHEMICAL CYCLES
(2023)
Article
Environmental Sciences
Yongxian Su, Chaoqun Zhang, Philippe Ciais, Zhenzhong Zeng, Alessandro Cescatti, Jiali Shang, Jing Ming Chen, Jane Liu, Ying-Ping Wang, Wenping Yuan, Shushi Peng, Xuhui Lee, Zaichun Zhu, Lei Fan, Xiaoping Liu, Liyang Liu, Raffaele Lafortezza, Yan Li, Jiashun Ren, Xueqin Yang, Xiuzhi Chen
Summary: Changes in tree cover can affect surface temperatures due to asymmetric direct biophysical effects. The cooling effect of tree cover gain is greater in magnitude than the warming effect of tree cover loss in most forests. Neglecting this asymmetric temperature effect of fine-scale tree cover change ignores the fact that biophysical feedbacks continue to cause surface temperature changes even under net-zero tree cover changes. Thus, it is necessary to account for gross, rather than net, tree cover changes when quantifying the biophysical effects of forests.
NATURE CLIMATE CHANGE
(2023)
Article
Environmental Sciences
Huan Zheng, Lanlan Guo, Bin He, Yanjun Shen, Wenping Yuan, Wentao Yang, Tiewei Li, Hao Zheng
Summary: Limiting climate warming to below 2 degrees Celsius requires more intense mitigation efforts, and natural climate solutions (NCS) act as an additional first step towards achieving China's emission reduction goals. This study quantified the historical contribution of NCS and designed pathways to assess the potential of increasing carbon sinks or reducing greenhouse gas emissions in various ecosystems. The results showed that NCS could offset almost 20% of annual net emissions, with cropland ecosystems playing a key role in mitigating climate change.
Article
Multidisciplinary Sciences
Qiongyan Peng, Ruoque Shen, Xiangqian Li, Tao Ye, Jie Dong, Yangyang Fu, Wenping Yuan
Summary: This study successfully generated a long-term, high-resolution maize distribution map for China using a high spatiotemporal resolution fused dataset and a phenology-based method. The map is of great significance for regional and global food security and international cereals trade.
Article
Environmental Sciences
Jiangzhou Xia, Xiaosheng Xia, Yang Chen, Ruoque Shen, Zheyuan Zhang, Boyi Liang, Jia Wang, Wenping Yuan
Summary: Forest age is crucial for estimating carbon sink in forest ecosystems. Over the past 40 years, China's ecological restoration projects have substantially impacted forest age. This study reconstructed China forest age datasets from 1980 to 2015, showing a good agreement with national forest inventories. Younger forests are mainly found in southern and eastern China, while older forests are concentrated in mountainous regions. The average age of China's forests increased from 18.2 to 44.0 years old from 1980 to 2015, and is predicted to reach 71.6 years old in 2060. The CFAD provides improved estimates of forest carbon sinks in China.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2023)
Article
Environmental Sciences
Xinyao Xie, Jing M. Chen, Wenping Yuan, Xiaobin Guan, Huaan Jin, Jiye Leng
Summary: Vegetation in mountainous areas contributes significantly to global gross primary productivity (GPP), but the effects of topography on radiation and water redistributions have been overlooked in existing global GPP data sets. This study developed a topographical correction index (TCI) based on simulated soil water redistribution, radiation redistribution, and redistribution of climate factors, and applied it to four GPP data sets. Results showed that integrating topography-induced interactions improved the accuracy of GPP estimation, with reduced mean-bias-error (MBE) and Root-Mean-Square-Error (RMSE). This study highlights the importance of considering topographical effects in GPP estimation to understand carbon budgets in mountain ecosystems.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2023)
Article
Meteorology & Atmospheric Sciences
Sifan Wang, Bin He, Hans W. Chen, Deliang Chen, Yaning Chen, Wenping Yuan, Feng Shi, Jianping Duan, Wei Wu, Tiexi Chen, Lanlan Guo, Ziqian Zhong, Weili Duan, Zhi Li, Weiguo Jiang, Ling Huang, Xingming Hao, Rui Tang, Huiming Liu, Yafeng Zhang, Xiaoming Xie
Summary: The length of the dry season over Equatorial Asia has significantly decreased due to increased precipitation in the early dry season. This has led to a significant reduction in fire carbon emissions during the early and peak fire season. Climate models project a further decline in dry season length, indicating further reductions in fire carbon emissions.
NPJ CLIMATE AND ATMOSPHERIC SCIENCE
(2023)