Spatial pattern of the ecological environment in Yunnan Province

Abstract

Ecological science focuses on the structure and function of the natural environment. However, the study of ecological environments primarily focuses on single-element research and lacks a comprehensive perspective. To examine ecological environmental trends on different scales, the present paper selected Yunnan Province as the study area. Chemical oxygen demand, rocky desertification, forest coverage, natural disaster data and spatial analysis methods were used to obtain the ecological environmental characteristics of each county and construct a comprehensive evaluation method of the ecological environment. The present paper revealed that the environmental capacity in Yunnan Province was at a moderate level, the ecological environment fragility was remarkable, the significance of the ecological environment was very high, natural disasters occurred frequently, and spatial differentiation between ecological environments was obvious. The province may be divided into three functional areas: the comprehensive-balanced area, the efficiency-dominated area and the environment-dominated area. Central Yunnan was a key development zone and the main area for the manufacturing and service industries, which were built as a modern industrial system in Yunnan Province. The ecological environment in northwestern Yunnan and southern Yunnan is of high significance, and this region was an ecological environment protection area that was important area for the construction of the modern agricultural system in Yunnan Province. To achieve sustainable development of the ecological environment, the spatial characteristics of the ecological environment must be determined at the county scale.

The Impact of Urbanization on Environmental Quality in Ecologically Fragile Areas: Evidence from Hengduan Mountain, Southwest China

“…Environmental quality is a compound concept, with it being the comprehensive state of environmental elements, such as vegetation, altitude, and climate, under dynamic interaction with human society [44]. The authors of existing studies have either analyzed this concept from the perspective of a single environmental element or have used a composite index system to measure the comprehensive level of environmental quality [12,45].…”

“…The authors of existing studies have either analyzed this concept from the perspective of a single environmental element or have used a composite index system to measure the comprehensive level of environmental quality [12,45]. Considering that the perspective of a single environmental element cannot reflect the overall characteristics of environmental quality, in this study, we designed a comprehensive index system to evaluate environmental quality [44]. With different research objectives, the authors of existing studies have applied various evaluation index systems for environmental quality [44,[46][47][48][49].…”

“…Considering that the perspective of a single environmental element cannot reflect the overall characteristics of environmental quality, in this study, we designed a comprehensive index system to evaluate environmental quality [44]. With different research objectives, the authors of existing studies have applied various evaluation index systems for environmental quality [44,[46][47][48][49]. Based on the existing evaluation index system, with the principles of scientificity and availability, we selected five elements from three aspects of Hengduan Mountain is an important natural resource reserve and ecological buffer area, with the area performing various ecological functions.…”

“…Table 1 shows these specific elements. Mean annual net primary production (NPP) [47] Vegetation production efficiency + NPP 0.070 Mean annual concentration of PM2.5 [48] Air pollution − PM2.5 0.071 Mean annual fraction of vegetation coverage (FVC) [44] Vegetation coverage + FVC 0.603…”

Spatiotemporal Patterns and Driving Factors of Non-Grain Cultivated Land in China’s Three Main Functional Grain Areas

“…Because global spatial autocorrelation describes the overall characteristics of spatial features, and so cannot identify local-level heterogeneity [29], we use local spatial autocorrelation (Local Moran's I) to explore differences in the spatial distribution of features in local and neighboring areas. When the local spatial autocorrelation index I l is greater than 0, this indicates that the value of unit i is not significantly different from that of surrounding units, meaning a combination of either high-high value or low-low value; when I l is less than 0, this indicates that the feature value of unit i differs significantly from that of surrounding units, meaning a combination of either low-high value or high-low value [30][31][32]. The formula is as follows:…”