Urban expansion led to the degradation of habitat quality in the Beijing-Tianjin-Hebei Area

Yue, 邓越 Deng; Weiguo, 蒋卫国 Jiang; Wenjie, 王文杰 Wang; Jinxia, 吕金霞 Lü; Kun, 陈坤 Chen

doi:10.5846/stxb201712062200

Cited by 14 publications

(11 citation statements)

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“…In addition, the degradation degree around the watershed has been increasing, especially the area with a low degradation in the Taihu Lake has been shrinking significantly, which indicated that the impact of human activities on the watershed has been deepening. These findings supported the previous studies that demonstrated that urbanization has had a significant and extensive impact on the local biodiversity [36,62].…”

Section: Habitat Degradation Change Associated With Luccsupporting

confidence: 92%

“…This indicates that HQ decline caused by land-use change is a common phenomenon and has aroused widespread attention. In terms of landscape pattern, TLB had undergone strong landscape fragmentation during the study period, the landscape pattern became increasingly diverse, irregular, fragmented, and isolated; similar situations have been reported in related studies [62,[64][65][66][67]81]. In the process of urbanization, the rapid increase of construction land threatens the surrounding habitats, resulting in an increased habitat fragmentation and poor connectivity, which ultimately leads to a decline in HQ.…”

Section: Linking Habitat Quality Land Use and Human Well-beingsupporting

confidence: 62%

“…Based on the comprehensive analysis of the size of the study area and the efficiency of the model calculation, and by reference to relevant research literature [26,62,63], we found that data with a spatial resolution of 100 m can avoid the existence of fragmented habitats and reserve enough effective information [62]. Moreover, after several tests, it turned out that the modeling efficiency could be improved significantly after the conversion of data resolution.…”

Section: Data Collectionmentioning

confidence: 87%

“…Then, according to the latest roads data and the maps of China's tourism traffic of 1985, 1995, 2005, and 2015, vectorization correction was carried out year by year, and the roads data of each year was finally obtained. The protected area layers were set up with reference to relevant research [62], among which, the basic farmland ecological protection layer and banned construction layer were vectorized The population of TLB was nearly 60 million in 2015, with 4.4% of the national population and 0.38% of the national land area, TLB contributed to 9.9% of China's gross domestic product (GDP) in 2015 (RMB 6,688.4 billion) [55], which has been a great contribution to the socioeconomic development of China [56]. TLB has always been the pioneer zone of urbanization in China, it has been, without a doubt, the most prosperous and dynamic region in the economic development in China [57], meanwhile, it is also one of the most prominent sites of competition between the supply of ES and human demand in China [41].…”

Section: Data Collectionmentioning

confidence: 99%

“…Landscape pattern was revealed by the Fragstats software (version 4.2). Considering the characteristics of the metrics and by referring to other studies [62,[64][65][66][67], the metrics that are commonly used and have been proven to be well-represented were selected to represent the landscape pattern. They are the Largest Patch Index (LPI), Mean Patch Size (MPS), Landscape Division Index (DIVISION), Contag Index (CONTAG), Landscape Shape Index (LSI), and Shannon's Diversity Index (SHDI).…”

Section: Land-use Change and Landscape Pattern Analysismentioning

confidence: 99%

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Impacts of Land-Use Change on Habitat Quality during 1985–2015 in the Taihu Lake Basin

Chen

et al. 2019

Sustainability

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Habitat quality (HQ) is of great significance to regional sustainable development, which is a key link for regional ecological security and human welfare. Assessing the temporal and spatial evolution of HQ caused by land-use change could provide a scientific basis for regional ecological protection and land management. Here, based on the ArcGIS platform and the InVEST model, this study quantified the spatial and temporal evolutions of land use, landscape patterns, and HQ from 1985 to 2015, in Taihu Lake Basin (TLB). Hotspot analysis tools were used to identify the spatial agglomeration and evolution characteristics of HQ in TLB. The results showed that, (1) the land use and landscape pattern in TLB experienced dramatic change process during 1985–2015, with the dominating conversion being from farmland to construction land, which led to an increase in landscape heterogeneity and fragmentation. (2) The HQ was generally reduced in the past 30 years. In particular, the decline of HQ was extremely severe in the peripheral area of cities and roads, due to urban sprawl. (3) Regarding the spatial distribution of HQ, the northern and eastern areas were generally higher, while the western and southern areas were generally lower. The hotspots areas were mainly located in the southwestern mountain area and west-central lake area, while the cold spots areas were mainly located in urban areas in the north and the east. (4) The area and degree of habitat degradation were both increased significantly due to land-use change, and the degradation of the Taihu Lake was highlighted. Strengthening the ecological environment management and reducing the threat of urban expansion to the HQ is urgently required. This study could help understand HQ of the TLB and provide a scientific basis for decision-makers.

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Section: Habitat Degradation Change Associated With Luccsupporting

confidence: 92%

Section: Linking Habitat Quality Land Use and Human Well-beingsupporting

confidence: 62%

Section: Data Collectionmentioning

confidence: 87%

Section: Data Collectionmentioning

confidence: 99%

Section: Land-use Change and Landscape Pattern Analysismentioning

confidence: 99%

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Impacts of Land-Use Change on Habitat Quality during 1985–2015 in the Taihu Lake Basin

Chen

et al. 2019

Sustainability

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Is marginalised cultivated land on the Tibetan Plateau suitable for production or ecology? An example from the northeastern Tibetan Plateau

Wang,

Zhou,

et al. 2024

Land Degrad Dev

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In the ecologically fragile alpine area of the Tibetan Plateau, some marginalised cultivated lands have more serious conflicts related to agricultural production and ecological protection than others; thus, it is of practical significance to explore the rational use of marginalised cultivated lands. In this study, Xining City and Haidong City in the northeastern part of the Tibetan Plateau were taken as the study area. Marginalised cultivated land was identified, and the vegetation photosynthesis model was used to evaluate its production function. Ecological function was evaluated in terms of soil retention, landscape connectivity and habitat maintenance. The rational use pathways of marginalised cultivated land were derived through statistical analysis and aggregation model analysis. The results showed that there were 183,489.19 ha of marginalised cultivated land in the study area; the average value of production function of marginalised cultivated land was approximately 70% of that of nonmarginalised cultivated land, and its various ecological functions reached 93.64%–117.98% of that of nonmarginalised cultivated land. In general, the distribution of production functions decreases from northwest to southeast, and the ecological functions are high in the middle and low in the surroundings. A comprehensive analysis of the production and ecological functions of marginalised cultivated land can provide a reference basis for the rational formulation of cultivated land protection policies and ecological protection policies.

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Spatial-temporal changes and driving factors of eco-environmental quality in the Three-North region of China

et al. 2023

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Eco-environmental quality is a measure of the suitability of the ecological environment for human survival and socioeconomic development. Understanding the spatial-temporal distribution and variation trend of eco-environmental quality is essential for environmental protection and ecological balance. The remote sensing ecological index (RSEI) can quickly and objectively quantify eco-environmental quality and has been extensively utilized in regional ecological environment assessment. In this paper, Moderate Resolution Imaging Spectroradiometer (MODIS) images during the growing period (July-September) from 2000 to 2020 were obtained from the Google Earth Engine (GEE) platform to calculate the RSEI in the three northern regions of China (the Three-North region). The Theil-Sen median trend method combined with the Mann-Kendall test was used to analyze the spatial-temporal variation trend of eco-environmental quality, and the Hurst exponent and the Theil-Sen median trend were superimposed to predict the future evolution trend of eco-environmental quality. In addition, ten variables from two categories of natural and anthropogenic factors were analyzed to determine the drivers of the spatial differentiation of eco-environmental quality by the geographical detector. The results showed that from 2000 to 2020, the RSEI in the Three-North region exhibited obvious regional characteristics: the RSEI values in Northwest China were generally between 0.2 and 0.4; the RSEI values in North China gradually increased from north to south, ranging from 0.2 to 0.8; and the RSEI values in Northeast China were mostly above 0.6. The average RSEI value in the Three-North region increased at an average growth rate of 0.0016/a, showing the spatial distribution characteristics of overall improvement and local degradation in eco-environmental quality, of which the areas with improved, basically stable and degraded eco-environmental quality accounted for 65.39%, 26.82% and 7.79% of the total study area, respectively. The Hurst exponent of the RSEI ranged from 0.20 to 0.76 and the future trend of eco-environmental quality was generally consistent with the trend over the past 21 years. However, the areas exhibiting an improvement trend in eco-environmental quality mainly had weak persistence, and there was a possibility of degradation in eco-environmental quality without strengthening ecological protection. Average relative humidity, accumulated precipitation and land use type were the dominant factors driving the spatial distribution of eco-environmental quality in the Three-North region, and two-factor interaction also had a greater influence on eco-environmental quality than single factors. The explanatory power of meteorological factors on the spatial distribution of eco-environmental quality was stronger than that of topographic factors. The effect of anthropogenic factors (such as population density and land use type) on eco-environmental quality gradually increased over time. This study can 232

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Urban expansion led to the degradation of habitat quality in the Beijing-Tianjin-Hebei Area

Cited by 14 publications

References 0 publications

Impacts of Land-Use Change on Habitat Quality during 1985–2015 in the Taihu Lake Basin

Impacts of Land-Use Change on Habitat Quality during 1985–2015 in the Taihu Lake Basin

Is marginalised cultivated land on the Tibetan Plateau suitable for production or ecology? An example from the northeastern Tibetan Plateau

Spatial-temporal changes and driving factors of eco-environmental quality in the Three-North region of China

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