<scp>InVEST</scp> model analysis of the impacts of land use change on landscape pattern and habitat quality in the Xiaolangdi Reservoir area of the Yellow River basin, China

Zhao, Lu; Yu, Wanyang; Meng, Ping; Zhang, Jinsong; Zhang, Jinxin

doi:10.1002/ldr.4361

Cited by 30 publications

(20 citation statements)

References 66 publications

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“…The formation of above hot spot was mainly due to high altitudes or steep slopes conferred favorable habitat quality, which was associated with the accessibility of human activities. Human accessibility at high altitudes or steep slopes was limited, so it was unlikely to cause major interference with the original environment 53 , 54 . However, the formation of other hot spot in Yellow River Delta was due to protective human activities.…”

Section: Resultsmentioning

confidence: 99%

Spatial–temporal evolution characteristics of land use and habitat quality in Shandong Province, China

Zheng

2022

Sci Rep

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To explore the sustainable mechanism of land use and habitat quality, the present study examined the land cover data of Shandong Province from 1980 to 2020 to understand the spatial–temporal evolution characteristics of land use. The “Integrated Valuation of Environmental Services and Trade-off” (InVEST-HQ) model and spatial auto-correlation model were further employed to evaluate the habitat quality and analyze the relationship between its spatial distribution pattern and land use type. Our results suggested that cultivated land was the dominant land use type in Shandong Province from 1980 to 2020. During this period, the area of water and URL (urban and rural industrial and mining residential land) were gradually increased, while other land types decreased progressively. Political and socio-economic factors were the dominant factors for the evolution of land use types, which exhibited significant stage variation characteristics, and the most drastic change was observed from 2010 to 2020. We further found that habitat quality in Shandong Province was dominated by moderate degradation, whose degree of degradation was positively correlated with the degree of land use development. Moreover, the average habitat quality decreased obviously over the past 40 years, and the fastest decreased period was similar to the phase change characteristics of land use types. In addition, habitat quality was significantly clustered in spatial distribution. Hot spots (high-value areas) were mainly natural ecosystems, while cold spots (low-value areas) were mainly ecosystems that were significantly affected by human activities, such as cultivated land and URL. Our findings suggest that administrators should formulate differentiation policies, solve the development dilemma of low-level habitat quality areas and build land space security pattern to promote the ecological quality.

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Section: Resultsmentioning

confidence: 99%

Spatial–temporal evolution characteristics of land use and habitat quality in Shandong Province, China

Zheng

2022

Sci Rep

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“…The closer the value is to 0, the worse the habitat quality, indicating that the ecosystem is less able to support the survival and reproduction of species, which is detrimental to the maintenance of biodiversity in the region [ 43 ]. In this paper, HQ is calculated based on the sensitivity of different land use types and the intensity, location, and maximum impact distance of different threat sources using land use data and drawing on relevant studies [ 23 , 37 ]. The calculation equation is as follows:

…”

Section: Methodsmentioning

confidence: 99%

“…The advantage of this model is that the sensitivity of habitats to threat sources is taken into account when assessing habitat suitability [ 21 ], and it is not limited by study time, scale, and area. It is currently the most frequently applied model and is widely used for HQ assessment, spatial and temporal variability, and future prediction in cities [ 22 ], watersheds [ 23 ], nature reserves [ 24 ], and coastal zones [ 25 ]. In addition, in studies related to the effects of land use change on HQ, the models such as contribution index [ 26 ], bivariate spatial autocorrelation [ 27 ], ordinary least square (OLS) [ 28 ], geodetector [ 29 ], geographically weighted regression (GWR) [ 30 ], multi-scale geographically weighted regression (MGWR) [ 31 ] were mainly used to quantify and assess the relationship between land use change and habitat quality change.…”

Section: Introductionmentioning

confidence: 99%

Impact of Land Use Change on the Habitat Quality Evolution in Three Gorges Reservoir Area, China

Peng

Wang

Dong

et al. 2023

IJERPH

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Habitat quality (HQ) is an important indicator to characterize the level of biodiversity and ecosystem services, and can reflect the quality of the human living environment. Changes in land use can disturb regional HQ. Current research mostly focuses on assessing the good or bad quality of regional habitats, and less on the spatial response relationship between land use change and HQ, and even fewer studies on finely distinguishing the impact of land use types on HQ. Therefore, taking Three Gorges Reservoir Area (TGRA) of China as the study area, this paper first analyzes the land use change of study area by using the land use transfer matrix, land use rate model and landscape pattern index, and then combines the InVEST model with the multi-scale geographically weighted regression (MGWR) model to build a refined assessment framework to quantitatively assess the spatial and temporal evolution patterns of HQ, and then analyse in detail the spatial response relationship of each land use type change on the impact of HQ. The results showed that from 2000 to 2020, the land use in the TGRA shows a changing state of “urban expansion, cultivated land shrinkage, forest land growth, and grassland degradation”. With the change in land use, the habitat quality index (HQI) in the study area showed an “ increase first and then decline” change characteristics, and the HQ degradation was more obvious in the areas with intense human activities. The impact of land use change over the past 20 years on HQ in the TGRA has significant spatial and temporal heterogeneity, with changes in paddy and dryland having mainly negative impacts on HQ, and changes in sparse land, shrubland, and medium-cover grassland having mainly positive impacts on HQ. This paper mainly provides a research framework for refined assessment, and the results can provide scientific support for land planning and ecological protection in the TGRA, and the research methods and ideas can provide references for similar research.

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“…where: R and W r are the numbers of threat sources and the weight of threat source r, Y r is the grid number of threats, r y is the stress level of grid X by the stress value of grid Y, and i rxy is the stress effect of stress factor R in Y on habitat grid unit X (Zhao L. et al, 2022). Generally, executing a habitat quality model requires the influence of distance and weights of stress factors and the compatibility and sensitivity of habitat components to each risk factor.…”

Section: Invest Modelmentioning

confidence: 99%

Impact of land use change on habitat quality and regional biodiversity capacity: Temporal and spatial evolution and prediction analysis

Zhou

2022

Front. Environ. Sci.

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The ecological stability of a region and the promotion of its coordinated environmental and economic development depend on habitat quality, which is a key indicator of the territory’s biodiversity capacity. A case study is done in Suzhou City, Jiangsu Province, to determine how land use changes affect habitat quality. The types of land use in 2030 are simulated based on 2000, 2010, and 2020. The InVEST and CA-Markov models analyze and predict how land use will change in Suzhou. Spatial analysis methods, such as the standard deviation ellipse, the center of gravity analysis, spatial autocorrelation, and random forest models, were used to reveal the spatial and temporal variation characteristics of habitat quality and to analyze its influencing factors. The bare land, building lands, and non-construction lands significantly increased in Suzhou city’s land use types between 2000 and 2030 due to land use changes, while the water bodies and forests gradually decreased. Most of the high-quality habitats in this region are found in the water bodies and the mountains. In contrast, the poor habitat quality in this area is mainly concentrated in urban construction lands. The habitat quality gradually declined over time, and its center of gravity followed the migration path from northeast to southwest. The temporal and spatial distribution of habitat degradation in Suzhou reveals a trend of habitat degradation from downtown to suburban areas. This degradation is most common in mountainous and forest areas where the landscape is highly fragmented. Habitat quality in Suzhou city has changed over time and space due to spatial patterns, socioeconomic factors, land use, and the natural environment, with land use having the most significant impact.

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InVEST model analysis of the impacts of land use change on landscape pattern and habitat quality in the Xiaolangdi Reservoir area of the Yellow River basin, China

Cited by 30 publications

References 66 publications

Spatial–temporal evolution characteristics of land use and habitat quality in Shandong Province, China

Spatial–temporal evolution characteristics of land use and habitat quality in Shandong Province, China

Impact of Land Use Change on the Habitat Quality Evolution in Three Gorges Reservoir Area, China

Impact of land use change on habitat quality and regional biodiversity capacity: Temporal and spatial evolution and prediction analysis

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