Driving forces behind ecosystem spatial changes in the Yangtze River Basin

Lingqiao, 孔令桥 Kong; Lu, 张路 Zhang; Zheng, Hua; Weihua, 徐卫华 Xu; Yi, 肖燚 Xiao; Zhiyun, 欧阳志云 Ouyang

doi:10.5846/stxb201712052191

Cited by 6 publications

(6 citation statements)

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“…The diminished farming and grassland area was mostly converted into forest and agricultural land. Finally, the area of barren land and water did not change considerably, confirming prior findings [ 48 , 49 ].…”

Section: Resultssupporting

confidence: 88%

Exploring evolution characteristics of eco-environment quality in the Yangtze River Basin based on remote sensing ecological index

Liu,

Zhang,

et al. 2023

Heliyon

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Section: Resultssupporting

confidence: 88%

Exploring evolution characteristics of eco-environment quality in the Yangtze River Basin based on remote sensing ecological index

Liu,

Zhang,

et al. 2023

Heliyon

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Section: Comparison Of the Results With Other Studiescontrasting

confidence: 57%

“…However, several key differences have been observed from previous studies (Kong et al, 2018) and official statistics. For example, according to an assessment by the National Forestry and Grassland Administration in 2007, vegetation coverage in YRB increased by about 2% since the end of 2007 due to GTGP (Delang & Yuan, 2015), increased 3.5% during 1999-2014 due to GTGP (Wang et al, 2017), and approximately 2.1% growth since the end of 2015 (Kong et al, 2018). In fact, the area of revegetation on the YRB is only about 1.74%, and the effectiveness of revegetation is only about 0.93%, which is less than the official statistics (~2%) (see Note: variance inflation factors (VIFs) were tested to be <2.5.…”

Section: Comparison Of the Results With Other Studiescontrasting

confidence: 57%

Satellite remote sensing analysis to monitor revegetation in the Yangtze River basin, China

Wang

et al. 2021

Land Degrad Dev

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Revegetation programmes aim to avoid land degradation, control soil erosion, reduce floods, and improve ecological conditions. China has planted billions of trees over the past 20 years. However, little is known about the effectiveness of this artificial revegetation and its consequences on China's national conservation policies and changes in biophysical factors at the county level. Here we use satellite time series data and develop a new metric, the revegetation index (RVI), that quickly monitors revegetation and its long-term changes. We found that the number of regions where the Grain to Green Program (GTGP) was successfully implemented was only about 55.8% of the areas of GTGP implementation. Surprisingly, we provide observational evidence that the implementation of the GTGP can decrease soil erosion and drought, and increase water availability, but revegetation in the Yangtze River basin (YRB) in China has a limited impact on soil erosion, water, and drought. In particular, for revegetation between 1999 and 2016, indicating that a previous assessment by the Government revealed as official statistics may have overestimated the effects of the ecological restoration practices.

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“…As human activities intensified all over the world, HQ was under unprecedented pressure and required some protective measures [27,28]. Meanwhile, a great deal of methods and models, e.g., the habitat suitability index (HSI) [29,30], the ecosystem service value (ESV) [31,32], and the HQ model of InVEST, have been developed to assess HQ [33,34]. Among them, the HQ model, with simple operation and easy access to data, combined the sensitivity of different land use types with various threat factors and the external threat strength to obtain the distribution of HQ [35][36][37] that makes the results relatively accurate and visual.…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Analysis of the Effects of Human Activities on Habitat Quality: A Case Study of Guiyang City, Guizhou Province, China

Gao

Yang

Jiao

2022

Land

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In recent years, regional habitat quality (HQ) has significantly degenerated, mainly attributed to human activities. Evaluating the spatio-temporal effects of human activities on HQ is crucial for maintaining regional ecosystem and conservation of landscapes. In this paper, taking Guiyang city as a case study, the spatio-temporal patterns of HQ and human footprint (HF) in 2000, 2010 and 2020 were respectively calculated by the HQ model and human footprint index (HFI). Then, the bivariate local Moran’s I was applied to measure the spatial relationship between them. Urban development zoning was conducted on the basis of the spatio-temporal relationship. The results showed that (1) in the past 20 years, HQ in Guiyang city was mainly dominated by relatively high value areas (moderately high and high), accounting for more than 60% of the total area. The proportion of low HQ area increased from 12.5% in 2000 to 18.5% in 2020, indicating that urban development has caused the continuous degradation of HQ. (2) The human activities in Guiyang city undergone apparent changes. The area of low HF decreased from 51.5% in 2000 to 46.7% in 2020, while the area with high-value increased from 2% to 5.8%. (3) There was a significantly negative correlation between HQ and HF in Guiyang city. The increasing correlation coefficient indicated that the impact of human activities on HQ has been strengthening. (4) Based on the spatial zoning scheme, the territorial space of Guiyang city was divided into four types, that is, the core development zone, the moderate development zone, the habitat conservation zone and the prohibited development zone. A series of corresponding strategies were proposed for the characteristics of each zone. Our findings can serve as guidance to urban managers and policy-makers for adopting suitable urban development plans and appropriate management of natural environment.

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Driving forces behind ecosystem spatial changes in the Yangtze River Basin

Cited by 6 publications

References 0 publications

Exploring evolution characteristics of eco-environment quality in the Yangtze River Basin based on remote sensing ecological index

Exploring evolution characteristics of eco-environment quality in the Yangtze River Basin based on remote sensing ecological index

Satellite remote sensing analysis to monitor revegetation in the Yangtze River basin, China

Spatio-Temporal Analysis of the Effects of Human Activities on Habitat Quality: A Case Study of Guiyang City, Guizhou Province, China

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