Paper
16 December 2021 Temporal and spatial changes of habitat quality in the area around Hangzhou Bay based on InVEST model
Yue Ding, Feng Gui, Sheng Tian, Sheng Zhao
Author Affiliations +
Proceedings Volume 12153, International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2021); 1215308 (2021) https://doi.org/10.1117/12.2626517
Event: International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2021), 2021, Sanya, China
Abstract
This paper selects Chinese second largest bay area—the Hangzhou Bay area as the research area. Based on the three phases of land use data in 2000, 2010 and 2018, the InVEST model is used to calculate the spatial differentiation and temporal changes of habitat quality in the study area from 2000 to 2018. Combined with spatial autocorrelation and socio-economic data, the impact of land use changes in the study area on the changes in the spatial and temporal patterns of habitat quality is analyzed. The results show that:(1) The land use type conversion in the study area is significant, which is mainly manifested by the rapid expansion of construction land to squeeze the area of cultivated land;(2) The average habitat quality index in 2000, 2010 and 2018 are 0.5675, 0.5540, and 0.5534, respectively, showing a ‘high in the southwest and low in the northeast’. In the spatial pattern of ‘Habitat Quality’, the area of poor habitat quality is almost half of the total area. The reason for the decline is mainly due to the conversion of fair-grade areas into poorgrade areas. The phased comparison shows that the improvement of habitat quality is concentrated in In woodland and grassland areas, the quality of most habitats has slightly declined, and urban construction and regional policies are important influencing factors; (3) The spatial autocorrelation analysis shows that the quality of habitats shows a certain spatial agglomeration and is getting closer and closer, and cold spots are concentrated in areas For woodland and grassland areas, hotspots are mainly distributed in cities, towns and Qiandao Lake area; while habitat degradation hotspots are mainly distributed in the northern areas of Shanghai, Huzhou, Hangzhou, Ningbo and most parts of Shaoxing. How to make scientific preventions against rapid urbanization Policies need urgent attention.
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Yue Ding, Feng Gui, Sheng Tian, and Sheng Zhao "Temporal and spatial changes of habitat quality in the area around Hangzhou Bay based on InVEST model", Proc. SPIE 12153, International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2021), 1215308 (16 December 2021); https://doi.org/10.1117/12.2626517
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KEYWORDS
Animal model studies

Analytical research

Data modeling

Ecology

Mining

Vegetation

Data centers

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