Quantitative analysis of the contributions of climatic and human factors to grassland productivity in northern China

Yan, Yuchao; Liu, Xiaoping; Wen, Youyue; Ou, Jinpei

doi:10.1016/j.ecolind.2019.04.020

Cited by 73 publications

(61 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to these features, NDVI is the most effective indicator to measure the response to climate change and reflect the development process of sustainability [12,84]. Grassland degradation is a major ecological threat [85]. The emergence of keywords, such as phenology and time series, indicates that more attention has been paid to research into the coupling of global climate change and anthropogenic activities and other disturbances, long-term monitoring data, and quantitative inversion processes to achieve grassland degradation management [4,5,35,71,86].…”

Section: Analysis Of the History And The Current Research Hotspotsmentioning

confidence: 99%

Quantitative Analysis of the Research Trends and Areas in Grassland Remote Sensing: A Scientometrics Analysis of Web of Science from 1980 to 2020

Cui

et al. 2021

Remote Sensing

View full text Add to dashboard Cite

Grassland remote sensing (GRS) is an important research topic that applies remote sensing technology to grassland ecosystems, reflects the number of grassland resources and grassland health promptly, and provides inversion information used in sustainable development management. A scientometrics analysis based on Science Citation Index-Expanded (SCI-E) was performed to understand the research trends and areas of focus in GRS research studies. A total of 2692 papers related to GRS research studies and 82,208 references published from 1980 to 2020 were selected as the research objects. A comprehensive overview of the field based on the annual documents, research areas, institutions, influential journals, core authors, and temporal trends in keywords were presented in this study. The results showed that the annual number of documents increased exponentially, and more than 100 papers were published each year since 2010. Remote sensing, environmental sciences, and ecology were the most popular Web of Science research areas. The journal Remote Sensing was one of the most popular for researchers to publish documents and shows high development and publishing potential in GRS research studies. The institution with the greatest research documents and most citations was the Chinese Academy of Sciences. Guo X.L., Hill M.J., and Zhang L. were the most productive authors across the 40-year study period in terms of the number of articles published. Seven clusters of research areas were identified that generated contributions to this topic by keyword co-occurrence analysis. We also detected 17 main future directions of GRS research studies by document co-citation analysis. Emerging or underutilized methodologies and technologies, such as unmanned aerial systems (UASs), cloud computing, and deep learning, will continue to further enhance GRS research in the process of achieving sustainable development goals. These results can help related researchers better understand the past and future of GRS research studies.

show abstract

Section: Analysis Of the History And The Current Research Hotspotsmentioning

confidence: 99%

Quantitative Analysis of the Research Trends and Areas in Grassland Remote Sensing: A Scientometrics Analysis of Web of Science from 1980 to 2020

Cui

et al. 2021

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…Cai et al [60] used SPOT NDVI-based residual trend as an indicator to explore to what extent the ecological project influenced grassland NDVI variation from 2005-2012, and the results indicated that ecological protection projects in the central Tibetan Plateau have mitigated grassland degradation and even reversed it in some areas. Yan et al [61] assessed how significantly climatic and human factors have influenced NPP in Qinghai from 2000-2015 through quantitative methods; their results showed that human factors were dominant (contributing to 86.87%). Wei et al [62] have proven that climate influence has been weakening while human influence has been strengthening on Tibetan pastures.…”

Section: Sisgc Is the Main Reason For Vegetation Recoverymentioning

confidence: 99%

Examining Soil Erosion Responses to Grassland Conversation Policy in Three-River Headwaters, China

Zhao

Lin

et al. 2021

Sustainability

View full text Add to dashboard Cite

Soil erosion in the Three-River Headwaters (TRH) region has continued to intensify in recent decades due to human activities and climate change. To reverse this situation, the Chinese central government has launched the Subsidy and Incentive System for Grassland Conservation (SISGC). As a sign of the effectiveness of SISGC implementation, the dynamic changes of soil erosion can provide timely feedback for decision makers and managers. The Revised Universal Soil Loss Equation (RUSLE) model was used to simulate the spatial distribution of soil erosion before and after SISGC implementation, and Mann–Kendall (MK) test to reveal the effect of policy implementation. The results showed that: (1) the soil erosion in the TRH was mainly mild (83.83% of the total eroded area), and the average soil erosion rate and the total erosion were 13.63 t ha−1 y−1 and 323.58 × 106 t y−1 respectively before SISGC implementation; (2) SISGC implementation has curbed soil erosion. After SISGC implementation, the total soil erosion decreased by 3.80%, which showed obvious differences between grassland types; (3) The influences of SISGC were mainly because it has increased vegetation cover, further decreasing soil erosion. However, soil erosion in Alpine grassland has deteriorated, indicating direct targeted policymaking should be on the agenda. Furthermore, SISGC should be continued and grassland-type-oriented to restore the grassland ecosystem.

show abstract

“…This means that effective temperature during the growing season increased approximately 400 • C/a (nearly 17%) from 1961 to 2010. Although temperature has a weaker effect on annual NPP than precipitation, the effects of temperature on NPP could not be neglected [51][52][53]. Under global temperature continuously rising, many studies reported that plants have shifted to begin their growing season earlier in response to rising temperature in the northern hemisphere over the past several decades [54].…”

Section: Response Of Grassland Npp To Climate Changementioning

confidence: 99%

Grassland Productivity Response to Climate Change in the Hulunbuir Steppes of China

Zhang

2019

Sustainability

View full text Add to dashboard Cite

As global climate change deeply affects terrestrial ecosystem carbon cycle, it is necessary to understand how grasslands respond to climate change. In this study, we examined the role of climate change on net primary productivity (NPP) from 1961 to 2010 in the Hulunbuir grasslands of China, using a calibrated process-based biogeochemistry model. The results indicated that: Temperature experienced a rise trend from 1961; summer and autumn precipitation showed a rise trend before the 1990s and decline trend after the 1990s. Winter and spring precipitation showed an ascending trend. Simulated NPP had a high inter-annual variability during the study period, ranging from 139 g Cm−2 to 348 g Cm−2. The annual mean NPP was significant and positive in correlation with the annual variation of precipitation, and the trend was first raised then fell with the turn point at the 1990s. Temperature had a 20–30 d lag in summer, but none in spring and autumn; precipitation had a 10–20 d lag in summer. The climate lag effect analysis confirmed that temperature had a positive effect on NPP in spring and a negative effect in summer.

show abstract

Quantitative analysis of the contributions of climatic and human factors to grassland productivity in northern China

Cited by 73 publications

References 50 publications

Quantitative Analysis of the Research Trends and Areas in Grassland Remote Sensing: A Scientometrics Analysis of Web of Science from 1980 to 2020

Quantitative Analysis of the Research Trends and Areas in Grassland Remote Sensing: A Scientometrics Analysis of Web of Science from 1980 to 2020

Examining Soil Erosion Responses to Grassland Conversation Policy in Three-River Headwaters, China

Grassland Productivity Response to Climate Change in the Hulunbuir Steppes of China

Contact Info

Product

Resources

About