Optimization and Construction of Ecological Security Patterns Based on Natural and Cultivated Land Disturbance

Abstract

In previous research on the construction of ecological security patterns (ESPs), the positioning characteristics of urban development were rarely considered, resulting in the identification of key conservation areas that are insufficient to support the ecological security of the entire region and the overall development of urban functions. Firstly, a “quality-importance-connectivity-balance” framework was created to identify ESPs and chose Liaocheng City (LC), a typical main agricultural production area, as the study site. Secondly, the ecological security level of the watershed perspective is an integrated resistance assessment method that exhibits topography, human activities, distance, and agricultural environmental impacts. Finally, the coordination pattern between agriculture and ecology was divided by the comprehensive quality of cultivated land and ESPs. A “six cores-seven belts-three zones” optimization pattern was constructed based on the components of ESPs and the distribution of cultivated land comprehensive quality. The study presents a novel approach for measuring ESPs and is an essential resource for ecological conservation and regional development planning in agroecologically complex regions.

أهمية التأثير البشري في تقييم الحالة البيئية للمدن في أوزبكستان (منطقة نافوي كحالة للدراسة)

“…If the value of the Ko coefficient approaches 1, then there is a balance in the area regarding the level of anthropogenic load [1][2][3][4][5][6][7][8] .…”

Ecological Security Assessment and Warning of Cultivated Land Quality in the Black Soil Region of Northeast China

“…Additionally, each indicator's early warning level was established according to the maximum affiliation theory, and the unit with the highest dominance index value was determined as the early warning level of the indicator. Then, the integrated dominance index was calculated according to Equation (14) to determine the integrated warning level. The results for the cities in Liaoning Province in 2010 are presented as an example (Table 3) to illustrate the correlation between the indicator level and the integrated warning result level.…”

“…In addition to the influence of natural factors, such as soil degradation and extreme precipitation, CLQ is also influenced by social factors, such as economic development and human activities [11,12]. Moreover, social factors can be used to quantitatively assess the ecological security of CLQ through timeseries data [13,14]. Urban expansion has been driven by the rapid urbanization process, which is gradually endangering arable land in peri-urban regions and reducing the amount of arable land [15,16].…”