Article
Environmental Sciences
Honglei Jiang, Xia Xu, Tong Zhang, Haoyu Xia, Yiqin Huang, Shirong Qiao
Summary: This study analyzed the vegetation dynamics in coastal China and found that both greenification and degradation of vegetation were present with significant spatial heterogeneity. Human activities had a greater positive impact on vegetation compared to climate change, particularly in the northern and southern regions. The findings provide evidence for the designation of rational ecological conservation policies.
Article
Environmental Sciences
Zhiguang Chen, Miaogen Shen, Nan Jiang, Jin Chen, Yanhong Tang, Song Gu
Summary: Daytime warming can delay the end of the vegetation growing season on the Tibetan Plateau, despite the inhibitory effect of low temperatures on alpine vegetation activity. Researchers should take into account the interactive effects of temperature and precipitation on the timing of the growing season when modeling autumn phenology in this region.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Plant Sciences
Silvas Prince, Md Rokebul Anower, Christy M. Motes, Timothy D. Hernandez, Fuqi Liao, Laura Putman, Rob Mattson, Anand Seethepalli, Kushendra Shah, Michael Komp, Perdeep Mehta, Larry M. York, Carolyn Young, Maria J. Monteros
Summary: Drought stress has negative impacts on crop growth and profitability. This study compared two different alfalfa subspecies and identified key morphological and physiological traits for enhancing biomass yield under drought stress. Field surveys and root architecture analysis further validated the importance of these traits. Different drought-adaptive strategies were identified across subspecies populations, which will contribute to the development of alfalfa cultivars suitable for various growing conditions. Combining genes from both subspecies can lead to the development of drought-tolerant alfalfa with higher productivity under limited water availability.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Plant Sciences
Tiantian Chen, Qiang Wang, Yuxi Wang, Li Peng
Summary: Vegetation is crucial for the earth's surface system and its changes serve as an indicator of global climate change. This study used advanced methods to analyze the vegetation trends in China from 1982 to 2018. The results show that China experienced abrupt changes in vegetation growth in the 1990s and 2000s, with significant impacts on the entire country. Climate and human activities played important roles in driving these changes.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Geosciences, Multidisciplinary
Dandong Cheng, Guizeng Qi, Jinxi Song, Yixuan Zhang, Hongying Bai, Xiangyu Gao
Summary: The study revealed a significant increasing trend in NDVI in the Qinling Mountains from 2000 to 2019, with the vegetation change being influenced by both climate change and human activities. The contributions of climate change and human activities to the vegetation were found to interact with each other, with human activities having a greater impact on vegetation degradation.
FRONTIERS IN EARTH SCIENCE
(2021)
Article
Geography, Physical
Shuxu Li, Zheng Zhou, Rongfei Ma, Shishi Liu, Qingfeng Guan
Summary: The normalized difference vegetation index (NDVI) is widely used to monitor vegetation vigor and cover. In heterogeneous urban areas, mixed pixels affect the accurate estimation of gross primary productivity (GPP). This study proposed a framework to extract subpixel vegetation NDVI (NDVIvege) and showed its potential for characterizing vegetation dynamics in heterogeneous areas.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2023)
Article
Environmental Sciences
Cancan Qiao, Shi Shen, Changxiu Cheng, Junxu Wu, Duo Jia, Changqing Song
Summary: The study found that the phenology in the Qilian Mountains showed spatial and temporal heterogeneity, with the start of the growing season gradually delayed as altitude increased from southeast to northwest. Overall, there was an advanced trend in the annual average start of the growing season, a delayed trend in the end of the growing season, and an extended trend in the length of the growing season. Preseason temperatures were found to affect the start and end of the growing season, with the length of the growing season being positively correlated with annual mean temperature.
Article
Environmental Sciences
Hui Ping Tsai, Geng-Gui Wang, Zhong-Han Zhuang
Summary: This study explored the long-term trends and breakpoints of vegetation, rainfall, and temperature in Taiwan from 1982 to 2012, revealing different patterns and breakpoints, especially in vertical differences. Regional variations showed stable vegetation growth in the north and worsening in the central region, with larger variations at higher elevations. There was a significant negative correlation between climate factors and NDVI, while temperature had positive effects at low altitudes below 500m.
Article
Green & Sustainable Science & Technology
Hui Zhang, Jinting Guo, Xiaotian Li, Yajie Liu, Tiejuan Wang
Summary: Vegetation change and its driving factors were analyzed in the study regions of Western Ordos and Eastern Alxa in China. The results showed that the NDVI exhibited spatial differentiation, with higher values in the east and lower values in the west. Overall, there was a significant increasing trend in NDVI, with 98.17% of the area experiencing an increase. On a temporal scale, NDVI had a significant positive correlation with precipitation but no significant correlation with temperature changes. On a spatial scale, NDVI was positively correlated with precipitation, accounting for 95.57% of the spatial changes, with a significant positive correlation in 34.99% of the cases. Meanwhile, temperature and NDVI were negatively correlated but not significantly, with a positive correlation in 45.95% of the cases and an insignificant negative correlation in 54.05% of the cases. The comprehensive analysis indicated that precipitation played a leading role in NDVI in the study area.
Article
Biodiversity Conservation
D. A. Castillo, J. J. Gaitan, E. S. Villagra
Summary: The extensive sheep production in the Patagonia region of Argentina is significantly influenced by climatic variables such as precipitation and vegetation productivity. Factors like temperature, precipitation, and vegetation productivity directly and indirectly impact sheep productivity, affecting variables like effective lambing rate and ewe live weight pre-mating. Regional climate change models predict a decrease in precipitation and an increase in temperature, which would negatively affect sheep production systems. Strategic supplementation and additional shelter to mitigate the effects of climate change could have a positive impact on total farm income.
ECOLOGICAL INDICATORS
(2021)
Article
Agronomy
Ewa Panek, Dariusz Gozdowski
Summary: This study analyzed the relationships between NDVI and grain yield in 20 European countries, finding strong correlations in Croatia, Czechia, Germany, Hungary, Latvia, Lithuania, Poland, and Slovakia, allowing for early yield prediction. Weak relationships were observed in France and Belgium.
Article
Environmental Sciences
Wenxu Cao, Hang Xu, Zhiqiang Zhang
Summary: Global climate change has a profound impact on vegetation growth patterns. However, regional climate characteristics tend to weaken the disparities in vegetation responses observed in large-scale studies. Additionally, different vegetation types exhibit distinct reactions to climate variability, making it challenging to detect and attribute changes in vegetation growth. This study used the normalized difference vegetation index (NDVI) dataset to investigate the spatiotemporal distribution and dynamic characteristics of climate change effects on vegetation growth from 2000 to 2020. The findings revealed a continuous greening trend, with precipitation identified as the dominant climatic factor influencing this trend. Continued warming, however, has led to a slowdown in vegetation growth. Solar radiation was also found to correspond to the vegetation trend. These findings highlight the nonlinearity of long-term vegetation growth trends with climate variation and provide valuable insights into forecasting vegetation responses to future climate change.
Article
Environmental Sciences
Ilknur Zeren Cetin, Tugrul Varol, Halil Baris Ozel, Hakan Sevik
Summary: Economic and industrial development have led to population concentration in cities, resulting in the urban heat island effect. This study analyzed the changes in the urban heat island effect in the central district of Bartin over the past 30 years and found increases in urban surfaces and land surface temperatures, as well as a decline in vegetation. The results emphasized the importance of increasing open and green areas to mitigate the negative effects of the urban heat island.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Plant Sciences
Weeberb J. Requia, Claudia Costa Saenger, Rejane Ennes Cicerelli, Lucijane Monteiro de Abreu, Vanessa R. N. Cruvinel
Summary: This study investigates the association between greenness and academic performance at the school-level in Brazil. The results show a positive correlation between green areas surrounding schools and math academic performance, suggesting that improving the environment around schools can promote public health.
URBAN FORESTRY & URBAN GREENING
(2022)
Article
Green & Sustainable Science & Technology
Ruixin Zhang, Yuke Zhou, Tianyang Hu, Wenbin Sun, Shuhui Zhang, Jiapei Wu, Han Wang
Summary: Vegetation phenology is an important indicator for monitoring changes in terrestrial ecosystems and global climate. Traditional vegetation indices have limitations, but solar-induced chlorophyll fluorescence (SIF) has great potential in depicting seasonal vegetation dynamics. In this study, we extracted vegetation phenological parameters in Northeastern China using SIF and MODIS NDVI data and analyzed the differences in phenological period and temporal trend. Our results showed significant differences in trends between SIF and NDVI, but similar spatial patterns of phenology.
Article
Biodiversity Conservation
Xuejuan Chen, Xingguo Mo, Yucui Zhang, Zhigang Sun, Yi Liu, Shi Hu, Suxia Liu
ECOLOGICAL INDICATORS
(2019)
Article
Meteorology & Atmospheric Sciences
Yi Liu, Xingguo Mo, Shi Hu, Xuejuan Chen, Suxia Liu
THEORETICAL AND APPLIED CLIMATOLOGY
(2020)
Article
Agronomy
Shi Hu, Xingguo Mo, Farong Huang
AGRICULTURAL WATER MANAGEMENT
(2019)
Article
Meteorology & Atmospheric Sciences
Ruxin Zhao, Huixiao Wang, Chesheng Zhan, Shi Hu, Meihong Ma, Yuxuan Dong
THEORETICAL AND APPLIED CLIMATOLOGY
(2020)
Article
Green & Sustainable Science & Technology
Chesheng Zhan, Ruxin Zhao, Shi Hu
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Engineering, Civil
Farong Huang, Xingguo Mo, Shi Hu, Lanhai Li
JOURNAL OF HYDROLOGY
(2020)
Article
Ecology
Meng Bai, Xingguo Mo, Suxia Liu, Shi Hu
Summary: This study found that the shrinkage of lakes in the semi-arid Mongolian Plateau is mainly driven by climate warming and drying, as well as human activities such as grassland conversion impacting the water budget of the lakes.
Article
Water Resources
Yi Liu, Xingguo Mo, Shi Hu, Xuejuan Chen, Suxia Liu
HYDROLOGICAL SCIENCES JOURNAL
(2020)
Article
Remote Sensing
Shi Hu, Xingguo Mo
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2020)
Article
Agronomy
Shudi Xie, Xingguo Mo, Shi Hu, Suxia Liu
AGRICULTURAL AND FOREST METEOROLOGY
(2020)
Article
Environmental Sciences
Shi Hu, Xingguo Mo
Summary: This study utilized remote sensing technology and numerical modeling to analyze the changes in actual evapotranspiration and available water resources in the Mekong River Basin. The results showed varying contributions of climate variables and vegetation greening to ETa changes, with different impacts on water resources availability in different regions within the basin.
Article
Environmental Sciences
Shengsheng Han, Suxia Liu, Shi Hu, Xianfang Song, Xingguo Mo
Summary: Studies on evapotranspiration in remote tropical coral islands are crucial for managing scarce water resources. Using remote sensing techniques, this study found that different land use types have significant impacts on water dynamics. Vegetation and built-up areas play important roles in controlling evapotranspiration and rainwater collection on coral islands.
Article
Engineering, Civil
Ruxin Zhao, Huixiao Wang, Shi Hu, Chesheng Zhan, Jiahao Guo
Summary: This study identified the factors influencing drought risk in China's main grain production zones and characterized the joint probability distribution, showing that North China Plain and Sichuan Basin are more prone to different degrees of synchronous droughts. The probability of simultaneous droughts in the three major production zones decreases with increasing drought severity. When two regions experience specific droughts, the highest drought probability is in the North China Plain.
JOURNAL OF HYDROLOGY
(2021)
Article
Soil Science
Lihong He, Xingguo Mo, Shi Hu, Suxia Liu
Summary: The study shows that the expanded VIP model optimized by the SCE-UA algorithm can effectively simulate the dynamics of soil nitrogen cycle in the North China Plain, with significantly improved prediction accuracy. The optimized parameters led to notably increased prediction efficiency, with the highest coefficient of determination reaching around 0.8.
Article
Environmental Sciences
Haowei Zhou, Suxia Liu, Shi Hu, Xingguo Mo
Summary: This study utilized remote sensing images and Google Earth Engine to establish a time series of surface water extent in the upper reaches of the Yellow River, and identified the dynamics of water body area. The results showed that precipitation and wind speed are the primary factors influencing the changes in annual and monthly water body area.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)