Analyzing the variation of the precipitation of coastal areas of eastern China and its association with sea surface temperature (SST) of other seas

Ji, Chenxu; Zhang, Yuanzhi; Cheng, Qiuming; Liu, Yu; Jiang, Tingchen; Liang, Xin‐Zhong

doi:10.1016/j.atmosres.2018.12.027

Cited by 14 publications

(8 citation statements)

References 40 publications

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“…This finding differed from that of some scholars, who used the red edge band to construct vegetation indices to estimate total chlorophyll content [39,63]. On the other hand, some others have reported that vegetation indices constructed in the near-infrared band were highly correlated with total chlorophyll content [64,65]. Although the vegetation indices constructed in the near-infrared band were highly accurate for the inversion of chlorophyll content [66,67] in the salt treatment in our study, this needs to be further refined in the future study.…”

Section: Mechanisms and Potential For Monitoring Plant Stress Using Rcontrasting

confidence: 76%

Monitoring Suaeda salsa Spectral Response to Salt Conditions in Coastal Wetlands: A Case Study in Dafeng Elk National Nature Reserve, China

Xia¹,

Zhang²,

Tian³

et al. 2020

Remote Sensing

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This paper reports on monitored Suaeda salsa spectral response to salt conditions in coastal wetlands, using spectral measurements and remotely sensed algorithms. Suaeda salsa seedlings were collected from the Dafeng Elk National Nature Reserve (DENNR) in Jiangsu Province, China. We treated 21 Suaeda salsa seedlings planted in pots with 7 different salt concentrations (n = 3 for each concentration) to assess their response to varying salt conditions. Various plant growth indicators, including chlorophyll content, fresh weight, dry weight, and canopy hyperspectral reflectance, were measured. One-way analysis of variance (ANOVA) and post hoc multiple comparisons of least-significant difference (LSD) were used to explore the physiological indicators of sensitivity to salt treatment. Red edge parameters and spectral reflectance indices were used to analyze spectral response to salt conditions and to investigate the potential for remotely sensing physiological parameters which are sensitive to salt conditions. The results indicated that among these physiological indicators, the total chlorophyll content differed significantly with salt conditions, being highest at 50 mmol/L, whereas the differences observed for the morphological parameters were highest at 200 mmol/L. In addition, new vegetation indices were significantly more responsive to salt concentrations than were traditional red edge parameters. The two vegetation indices, D854/D792 and (D792 − D854)/(D792 + D854), were the most sensitive to the total chlorophyll content, and these also strongly correlated with salt concentrations. An analysis of the responses of plant growth indicators to salt treatment showed that soil having a salt concentration of 50~200 mmol/L is most suitable for the growth of Suaeda salsa. These results suggest the potential for using remote sensing to effectively interpret the causes of salt-induced spectral changes in Suaeda salsa. This methodology also provides a new reference for the inversion model of estimating the total chlorophyll content of Suaeda salsa under different salt concentrations in similar coastal wetlands, whether in China or elsewhere.

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Section: Mechanisms and Potential For Monitoring Plant Stress Using Rcontrasting

confidence: 76%

Monitoring Suaeda salsa Spectral Response to Salt Conditions in Coastal Wetlands: A Case Study in Dafeng Elk National Nature Reserve, China

Xia¹,

Zhang²,

Tian³

et al. 2020

Remote Sensing

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“…(2017) added industrial "three wastes" into the output factors and then measured the environmental efficiency of 11 provinces in China's Yangtze River Economic Belt. Ji et al (2019) adopted the data envelopment analysis (DEA) method and determined that the efficiency of pollution treatment and waste disposal technology in Eastern China was the highest, while the technology levels in Western China were the lowest. Numerous studies focus on the micro or macro-economic policies evaluation, including the trade (Mary and Konings, 2007;Loecker, 2011;Sahoo et al,2018;Jiang et al, 2021;Jiang, 2021) and industrial agglomeration policies (Martin et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

The Heterogeneous Impacts of Human Capital on Green Total Factor Productivity: Regional Diversity Perspective

Xiao

You

2021

Front. Environ. Sci.

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That human capital improves the efficiency of Green Total Factor Productivity has been established in research fields, but the heterogeneous effects of human capital on GTFP and its sustainable mechanisms are unclear. This study examines the effects of human capital accumulation, fiscal spending on education, and innovation on GTFP efficiency under spatial and temporal diversity. Employing panel data from 30 provinces from 2001 to 2018 in China, we analyzed the dynamic and static efficiency of GTFP in different regions by three-stage data envelopment analysis (DEA). The heterogeneous effects of human capital on GTFP were explored through Tobit regression. Results reveal that the average value of GTFP efficiency is an inverted U-shape and the presence of significant t geography differences. Human capital accumulation and fiscal spending on education have positive effects on GTFP efficiency; however, innovation negatively affects it. At the same time, marketization growth decreases the positive influence of human capital and education on GTFP efficiency. While, this effect was not observed regarding innovation, the implication of these results concerning the human capital heterogeneous effects of GTFP efficiency in a different geographic context. Establishing a fair and transparent system can reduce the endowments gap and effectively promote GTFP efficiency in developing countries.

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“…Characterized by a spatial pattern with dry north and wet south, CAC is especially prone to suffer drought in the north and flood in the south. Studies in the early stage have conducted on the spatiotemporal variation of consecutive dry/wet days in the areas associated with CAC (Jiang et al, 2011;Wang et al, 2017a;Wang et al, 2017b;Mei et al, 2018), but rare has concerned the influence of climate forcings on consecutive dry/wet days with a continuous space perspective in the coastal area of China as a whole (Ji et al, 2019). Therefore, it is essential to quantify not only the changes in consecutive dry/wet days with the latest observational meteorological data but also the connections between climate forcings and such extremes in the Chinese coast.…”

Section: Introductionmentioning

confidence: 99%

Changes in consecutive dry/wet days and their relationships with local and remote climate drivers in the coastal area of China

Wang

Hou

Zhao

2021

Atmospheric Research

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Analyzing the variation of the precipitation of coastal areas of eastern China and its association with sea surface temperature (SST) of other seas

Cited by 14 publications

References 40 publications

Monitoring Suaeda salsa Spectral Response to Salt Conditions in Coastal Wetlands: A Case Study in Dafeng Elk National Nature Reserve, China

Monitoring Suaeda salsa Spectral Response to Salt Conditions in Coastal Wetlands: A Case Study in Dafeng Elk National Nature Reserve, China

The Heterogeneous Impacts of Human Capital on Green Total Factor Productivity: Regional Diversity Perspective

Changes in consecutive dry/wet days and their relationships with local and remote climate drivers in the coastal area of China

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