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Article
Engineering, Aerospace
Shuaiyang Qi et al.
Summary: In this study, the vegetation net primary productivity (NPP) in the Dongting Lake Basin from 2000 to 2020 was estimated using the improved CASA model. The trends and significance of NPP changes were analyzed, and the driving mechanisms of NPP changes were explored. The results showed that the NPP increased overall during the study period, with solar radiation being the strongest driver. Climate change and human activities both had significant effects on NPP, with positive contributions being greater than negative contributions.
ADVANCES IN SPACE RESEARCH
(2023)
Article
Environmental Sciences
Shouhai Shi et al.
Summary: This study explored the spatiotemporal variation in net primary productivity (NPP) in China during 2000-2020, the interactive effects of climatic and anthropogenic factors on NPP, and the optimal characteristics of driving forces. The results showed that NPP had obvious spatial differentiation, an overall increasing trend, and this trend will continue in the future for more than half of the pixels. Land use and land cover and precipitation were the main factors regulating NPP variation, except in southwest China where altitude and temperature dominated. The findings provide critical insights into the impacts of driving forces on NPP and can contribute to creating optimal conditions for vegetation growth in response to climate changes.
Article
Environmental Sciences
Chaohua Yin et al.
Summary: In recent years, disturbances have significantly affected terrestrial ecosystems in arid and semi-arid regions, particularly the Mongolian Plateau. This study explored the complex relationship between the natural environment and net primary productivity (NPP) in the ecologically fragile and sensitive region. The findings revealed the spatial distribution of NPP and identified key factors such as vegetation cover, precipitation, soil moisture, and solar radiation that influence NPP variations. The study also demonstrated the importance of understanding these mechanisms for regional vegetation management.
Article
Green & Sustainable Science & Technology
Weijia Liang et al.
Summary: In order to address ecological problems, various ecological restoration projects have been implemented in northern China. This study selected three typical ecological reserves in the Three-North Shelter Forest Program Region to identify their vegetation development characteristics and driving mechanisms. The results show that the vegetation restoration projects had an obvious effect, with increased NDVI values in the areas affected by human activities. The impact of climate changes on vegetation dynamics was enhanced after the planting period, and precipitation played a stronger role in vegetation dynamics in Regions II and III compared to temperature.
Article
Biodiversity Conservation
Jiaxiang Liu et al.
Summary: This study used landscape pattern and data analysis methods to explore the impact of land use dynamics on Net Ecosystem Productivity (NEP) in China. The results showed that most regions did not experience significant changes in NEP, while land use patterns exhibited increased fragmentation and shape complexity, decreased connectivity, and trend shifts. The relationship between land use patterns and NEP was insignificant in most areas, but significant in some regions. These findings emphasize the importance of nonlinear analysis in understanding the spatial-temporal changes of NEP and land use patterns, and deepen our understanding of the impacts of land use changes on NEP.
ECOLOGICAL INDICATORS
(2023)
Article
Biodiversity Conservation
Meng Zhang et al.
Summary: Wetlands are important ecosystems and play a crucial role in carbon balance. This study assessed the changes in vegetation net primary productivity (NPP) in the Dongting Lake wetland area using an improved model and algorithm. The results showed a significant increasing trend in wetland vegetation NPP, with different contributions from climate and human activities.
ECOLOGICAL INDICATORS
(2022)
Article
Environmental Sciences
Jing Fu et al.
Summary: This study investigated the spatiotemporal variations of terrestrial evapotranspiration (ET) in China from 2000 to 2019 and analyzed the driving factors behind these changes. The results showed that climate variation, including increasing precipitation and wind speed, had a significant impact on ET. The study also found that increasing temperature, decreasing sunshine duration and relative humidity contributed to the increase in ET to some extent. The findings provide valuable insights into the role of climate variability in hydrological processes and the potential impacts of ET variability on the climate system.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Agronomy
Shanshan Yang et al.
Summary: Cropland water productivity (WP) in China exhibits significant spatial heterogeneity and shows a general increasing trend. The spatiotemporal variations of cropland WP are mainly determined by crop yield and water consumption. Moreover, precipitation is the primary driver of cropland WP interannual variability.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Biodiversity Conservation
Rui Kong et al.
Summary: Terrestrial ecosystem carbon sequestration is essential for mitigating atmospheric CO2 concentrations, and China has a significant potential in this regard. The study reveals that the carbon sequestration potential of vegetation ecosystems in China, particularly in the Southwest, Northeast, and Southeast regions, is substantial. Future climate scenarios indicate that temperature and precipitation are major factors influencing vegetation carbon sequestration. While higher temperatures may lead to a decrease in carbon sequestration in some regions, lower temperatures in the northwestern arid region and Qinghai-Tibet Plateau may contribute to an overall increase in carbon sequestration.
ECOLOGICAL INDICATORS
(2022)
Article
Environmental Sciences
Guobo Liu et al.
Summary: The study revealed a continuous upward trend in vegetation NPP in China from 2000 to 2019, with contributions from meteorological conditions and human activities. Regression analysis based on nature reserves could reflect the zonal climax vegetation status, and the restoration potential accounted for approximately 19.05% of the annual total NPP of the climax background vegetation.
Article
Environmental Sciences
Beatriz Martinez et al.
Summary: The main objective of this study is to analyze the spatial and temporal variability of gross and net primary production (GPP and NPP) in Peninsular Spain across 15 years (2004-2018) and determine the relationship of those carbon fluxes with precipitation and air temperature. The results show significant negative changes in vegetation in southeastern Spain, the eastern Mediterranean coastland, and central Spain, while forests and irrigated crops have higher production than rainfed crops, shrublands, grasslands, and sparse vegetation.
Article
Environmental Sciences
Liang Liang et al.
Summary: This paper optimizes the key parameters of the CASA model and estimates the NEP in China by coupling the optimized model with the soil respiration model. The results show that the optimized model has higher accuracy and the monthly variation of NEP in China follows a pattern of southern region > northern region > Qinghai-Tibet region > northwest region. This study is important for understanding carbon source/sink distribution in China and regional carbon cycle research.
Article
Environmental Sciences
Chaohua Yin et al.
Summary: The actual net primary productivity (ANPP) of the Mongolian Plateau (MP) from 2000 to 2019 was estimated using a modified Carnegie-Ames-Stanford Approach (CASA) model. The study found that the ANPP of vegetation on the MP has been steadily increasing, with human activities playing a significant role in vegetation restoration.
Article
Agriculture, Multidisciplinary
Xiaoyan Kang et al.
Summary: This study proposes a method for estimating field-scale cotton yield using a convolutional neural network to sequentially downscale the spatial resolution of SIF products. The results show that this method can accurately estimate cotton yield, providing a promising and practical approach for precise agricultural yield estimation.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Biodiversity Conservation
Yi Zhang et al.
Summary: Accurately analyzing the spatial and temporal evolution of regional eco-environmental quality and exploring the response of eco-environmental quality to natural environment and human factors are essential to protect the regional ecological environment. This study analyzed the ecological environmental quality of Chang-Zhu-Tan metropolitan circle, central China from 2000 to 2020 based on Google Earth Engine (GEE) and Remote Sensing Ecological Index (RSEI). The results showed that the mean value of RSEI in the study area was showing an increasing trend. Climate, soil, terrain, and urbanization had different effects on the ecological environment, with climate, soil, and terrain had positive effects on the ecological environment, while urbanization had negative effects on it. This study provides a method for rapid and accurate assessment of regional eco-environmental quality and exploration of complex interaction pathways of influencing factors, which is essential for balancing the relationship between regional development and nature.
ECOLOGICAL INDICATORS
(2022)
Article
Biodiversity Conservation
Zijun Zhou et al.
Summary: The net primary productivity (NPP) is an important indicator of the productivity of vegetation communities and predicting its changes is essential for assessing ecosystem sustainability. This study developed a model based on temperature and land use/cover changes (LUCCs) and applied it to the Sichuan-Chongqing region to predict NPP changes under different development scenarios. The results demonstrated the model's applicability and highlighted the impact of urban expansion and land use on NPP. Predicting NPP changes under different scenarios provides a theoretical basis for addressing future ecological changes and enhancing ecosystem stability.
ECOLOGICAL INDICATORS
(2022)
Article
Biodiversity Conservation
Xuexian An et al.
Summary: This paper analyzes the spatial and temporal changes in the distribution of wetlands in China over the past two decades using LULC data. The study finds that the total area of wetlands in China has been increasing, with the provinces of Qinghai, Tibet, and Xinjiang showing the highest increase. Factors such as climate conditions, agricultural and economic conditions, urbanization, and population growth have influenced the wetland changes.
ECOLOGICAL INDICATORS
(2022)
Article
Biodiversity Conservation
Ke Ning et al.
Summary: This study evaluated the impacts of ERP on land use change and carbon sequestration in China's red soil hilly region with higher rainfall and accumulated temperature, showing a significant increase in carbon storage after the implementation of ERP in the area. The modified Program Driving Force Model indicates that ERP programs, particularly the Natural Forest Protection Program, have a substantial driving effect on land use changes. The estimated carbon storage increase driven by ERP in the forest, cultivated land, and grassland ecosystems accounts for a significant portion of the total carbon storage in terrestrial ecosystems in the region.
ECOLOGICAL INDICATORS
(2021)
Article
Biodiversity Conservation
Nan Shan et al.
Summary: The study used hyperspectral reflectance to retrieve chlorophyll content and leaf inclination for paddy rice, and simulated diurnal and seasonal trends of Solar-induced chlorophyll fluorescence. The accuracy of chlorophyll content retrieval was improved when considering senescent material variation, especially in later growth stages. The SCOPE model was able to interpret diurnal cycle and seasonal trend of SIF with high accuracy.
ECOLOGICAL INDICATORS
(2021)
Article
Multidisciplinary Sciences
Gustau Camps-Valls et al.
Summary: This study generalized commonly used vegetation indices by exploiting higher-order relations between spectral channels, resulting in increased sensitivity to vegetation physiological and biophysical parameters. The nonlinear NDVI consistently improved accuracy in monitoring key parameters, suggesting potential for more precise measurements of terrestrial carbon dynamics.
Article
Environmental Sciences
Rafael Cervantes-Duarte et al.
Summary: The use of net primary productivity (NPP) information from remote ocean color sensors is increasingly common in marine sciences to explain productivity variations at different scales and in the presence of climate phenomena. Analysis in Bahia de La Paz (BLP), Mexico, showed seasonal variation in NPP with higher values in winter-spring and lower values in summer-autumn. Satellite and in situ measurements identified key biophysical variables influencing NPP in different time scales.
Article
Environmental Sciences
Yin Zhang et al.
Summary: The study found that from 2001 to 2017, there were significant spatio-temporal variations in the distribution of NPP on the Qinghai-Tibetan Plateau, but most regions showed relatively stable NPP levels. Temperature had a greater impact on NPP than precipitation, while human activities also played a role in influencing NPP levels.
Article
Environmental Sciences
Shahid Naeem et al.
Article
Environmental Sciences
Chunli Wang et al.
Article
Environmental Sciences
Xia Xu et al.
SCIENCE OF THE TOTAL ENVIRONMENT
(2020)
Article
Environmental Sciences
Yangyang Liu et al.
SCIENCE OF THE TOTAL ENVIRONMENT
(2019)
Article
Environmental Sciences
Yang Li et al.
Article
Environmental Sciences
Fengying Zhang et al.
Article
Environmental Sciences
Meng Li et al.
SCIENCE OF THE TOTAL ENVIRONMENT
(2018)
Article
Environmental Sciences
Siheng Wang et al.
Review
Engineering, Electrical & Electronic
Jinru Xue et al.
JOURNAL OF SENSORS
(2017)
Article
Environmental Sciences
Rashid Rafique et al.
Article
Environmental Sciences
Weicheng Wu
Article
Multidisciplinary Sciences
WQ Zhu et al.
CHINESE SCIENCE BULLETIN
(2006)
Article
Environmental Sciences
XM Xiao et al.
REMOTE SENSING OF ENVIRONMENT
(2004)
Article
Environmental Sciences
WJ Chen et al.
GLOBAL BIOGEOCHEMICAL CYCLES
(2000)
