Biocapacity and ecological water demand in Shule River Basin over the past 20 Years

Dongxia, 岳东霞 Yue; Guanguang, 陈冠光 Chen; Minxiang, 朱敏翔 Zhu; Xiaojuan, 郭晓娟 Guo; Yanyan, 周妍妍 Zhou; Kai, 李凯 Li; Dong, 王东 Wang; Jianjun, 郭建军 Guo; Jianjun, 曾建军 Zeng

doi:10.5846/stxb201809141989

Cited by 2 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…2 and 3). Based on the transfer matrix analysis 26 , it was found that the forest area increased by 4048.9 km 2 during 1995~2010, which was mainly converted from grassland and cropland. Of this, 3358.8 km 2 of grassland was converted to forest land.…”

Section: Results and Analyses Land Use Transfermentioning

confidence: 99%

“…2010, c. 2020) Land use transfer matrices were constructed for the two phases, 1995~2010 and 2010~2020, to quantitatively describe the dynamic change characteristics of land use in the Daling River Basin from 1995 to 2020 (Tables2 and 3). Based on the transfer matrix analysis26 , it was found that the forest area increased by 4048.9 km 2 during 1995~2010, which was mainly converted from grassland and cropland. Of this, 3358.8 km 2 of grassland was converted to forest land.…”

mentioning

confidence: 99%

See 1 more Smart Citation

RSEI-based monitoring of ecological quality and analysis of drivers in the Daling River Basin

Ge,

Qian,

Zhang

et al. 2024

Preprint

View full text Add to dashboard Cite

The Daling River basin is an important ecological functional area in the western region of Liaoning, and the monitoring of the ecological environment quality and the analysis of the factors in the basin are of great significance for the protection of the ecological environment and the improvement of the quality of the economy. In this paper, based on the three periods of remote sensing images in 1995, 2010 and 2020 as the basic data, we use platforms and technical means such as RS and GIS to decipher and extract the land use information of the three periods, establish the transfer matrix of land use types, and collect the data to extract the corresponding four remote sensing indices of NDVI, LST, WET and NDBSI, and construct the remote sensing eco-index of Daling River Basin (RSEI) model. Based on the land use change, combined with the trend of remote sensing ecological index (RSEI) of Daling River Basin, so as to achieve the purpose of rapid and efficient dynamic monitoring of ecological quality of Daling River Basin from 1995 to 2020. The geodetector model was applied to systematically evaluate the drivers of ecological quality in the basin, providing a scientific basis for the implementation of further ecological environmental protection measures.

show abstract

Section: Results and Analyses Land Use Transfermentioning

confidence: 99%

mentioning

confidence: 99%

RSEI-based monitoring of ecological quality and analysis of drivers in the Daling River Basin

Ge,

Qian,

Zhang

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…(1) In space, it is refined from a national scale to a regional or watershed scale. For example, Yue et al [8] used the state space method to estimate and compare the two urban agglomerations in Liaoning Province; Yue Dongxia et al [9] calculated the ecological carrying capacity by taking Shule River Basin and the counties under its jurisdiction as different scales and taking the ecological water demand of the basin as the mainline. (2) In terms of time, from the static analysis of a single year to the dynamic analysis and future prediction with period, for example, Cai Fei et al [10]calculated the ecological footprint, ecological carrying capacity and ecological deficit of Xi 'a City from 2010 to 2018 based on the ecological footprint theory; in addition to the current situation evaluation, Peng et al [11]used the grey model to predict the development trend of ecological footprint in the urbanization process of the Yangtze River urban accumulation from 2018 to 2022.…”

Section: Introductionmentioning

confidence: 99%

Analysis on Spatial-Temporal Evolution of Ecological Carrying Capacity in Greater Bay Area Around Hangzhou Bay

Wei¹

2022

BCPBM

View full text Add to dashboard Cite

The Great Bay Area around Hangzhou Bay is the intersection of multiple national strategies the coastal open zone, the Yangtze River Economic Belt, the Yangtze River Delta urban agglomeration and the Belt and Road Initiative. Ecological carrying capacity is the maximum capacity of an ecosystem to bear human activities on the premise of maintaining its normal operation, which can provide a reference for judging the degree of regional sustainable development and future planning and construction. In this study, the evaluation index system of ecological carrying capacity was constructed based on the PSR model. The spatio-temporal evolution of ecological carrying capacity in the Great Bay Area around Hangzhou from 2006 to 2019 was analyzed using the TOPSIS model, exponential smoothing method and GIS spatial analysis method. The results show that the pressure is carrying capacity generally decreases, and it is predicted to decrease from 2020 to 2022. the state bearing capacity tends to be ideal, and the development prospect is good; response bearing capacity and comprehensive bearing capacity are highly overlapped, reaching the minimum and maximum in 2012 and 2016, respectively; the ecological carrying capacity of cities in the northwest of Hangzhou and Shanghai is in good condition. After the unified planning, the ecological carrying capacity of Jiaxing and other cities has been significantly improved, and the ecological carrying capacity of cities in the bay area is more inclined to balanced development. Combined with the correlation analysis, it is concluded that the proportion of fixed assets investment in the construction of landscaping public facilities in GDP is the key factor restricting the comprehensive carrying capacity. The research results are of great significance to formulating policies for sustainable socio-economic development in the Bay Area.

show abstract

Biocapacity and ecological water demand in Shule River Basin over the past 20 Years

Cited by 2 publications

References 0 publications

RSEI-based monitoring of ecological quality and analysis of drivers in the Daling River Basin

RSEI-based monitoring of ecological quality and analysis of drivers in the Daling River Basin

Analysis on Spatial-Temporal Evolution of Ecological Carrying Capacity in Greater Bay Area Around Hangzhou Bay

Contact Info

Product

Resources

About