Spatial pattern reconstruction of regional habitat quality based on the simulation of land use changes from 1975 to 2010

Abstract

Reconstruction of the spatial pattern of regional habitat quality can revivify the ecological environment background at certain historical periods and provide scientific support for revealing the evolution of regional ecological environmental quality. In this study, we selected 10 driving factors of land use changes, including elevation, slope, aspect, GDP, population, temperature, precipitation, river distance, urban distance, and coastline distance, to construct the CA-Markov model parameters and acquired the land use spatial data for 1975, 1980, 1985, 1990, and 1995 by simulation based on the land use status map for 2010. On this basis, we used the InVEST model to reconstruct the spatial pattern of habitat quality in the study area and conducted classification division and statistical analysis on the computed habitat degradation degree index and the habitat quality index. (1) The results showed that from 1975 to 2010, the habitat degradation degree gradually increased, and the habitat degradation grade spatially presented a layered progressive distribution. Habitat quality presented a constantly decreasing trend. The high-value zones were mainly distributed in the mountainous areas, while the low-value zones were mostly located in built-up areas. During the period of 1975-2010, low-value zones gradually expanded to their surrounding high-value zones, and the high-value zones of habitat quality tended to be fragmented. (2) The spatial-temporal variation characteristics of habitat quality from 1975 to 2010 showed that the regions with low habitat quality were difficult to be restored and mostly maintained their original state; the regions with poor habitat quality, which accounted for 6.40% of the total study area, continued to deteriorate, mainly around built-up areas; the regions with good and superior habitat quality, which accounted for 5.68% of the total study area, were easily con

Ecosystem Services Assessment, Trade-Off, and Bundles in the Yellow River Basin, China

“…The parameters that need to be input in this module mainly include land-use type maps, main habitat threat factors, weights of threat source factor and influence distances, and data such as the sensitivity degree of land use types to threat sources, etc. These research results are set after taking reference to the InVEST model manual [27], the scholars' research results [36][37][38] and experts' suggestions.…”

How Human Activity Has Changed the Regional Habitat Quality in an Eco-Economic Zone: Evidence from Poyang Lake Eco-Economic Zone, China

“…With reference to the classification standards in existing studies [ 55 ], the habitat quality of the study area was classified into five levels: very poor (0–0.2), poor (0.2–0.4), fair (0.4–0.6), good (0.6–0.8), and excellent (0.8–1.0).…”

“…In addition, we used CART decision tree classification to quickly and accurately map land-use change over a large area by improving on previous research. Compared with research using 1000 × 1000 m data [ 55 ] and research through supervised classification and human–machine interactive interpretation methods [ 30 , 52 ], faster and more accurate land-use information can be obtained.…”

Spatiotemporal Differentiation of Territorial Space Development Intensity and Its Habitat Quality Response in Northeast China

“…Referring to the parameters recommended by the InVEST model [65] and set in the study of HQ [66,67], this study defined forest land, grassland, and water areas as habitats since they constitute the main habitats of organisms. This meant that cultivated land, rural settlements, industrial and mining land, urban land, and main traffic roads (e.g., railways, expressways, national highways, and provincial highways) were threat sources.…”