Spatial covariance of ecosystem services and poverty in China

How does the temporal relationship between ecosystem services and human wellbeing change in space and time? Evidence from Inner Mongolian drylands

Studies of the ecosystem services (ES) and human wellbeing (HWB) relationship have proliferated in recent decades, but few have examined how ES affect HWB over time in a region (i.e., the temporal ES-HWB relationship) and how this relationship varies between regions. Thus, this study was intended to address these questions using data from Inner Mongolia. We first quantified multiple indicators of ES and objective HWB from 1978 to 2019, and then quantified their temporal relationship with correlation analysis over the entire duration and during four development periods, respectively. Our results showed that, depending on the time periods of analysis, geographic locations, and indicators, the temporal ES-HWB relationship varied substantially in both correlation strength and directionality (r values ranged from -0.93 to +1). Specifically, food-related provisioning services and cultural services often showed significant positive relationships with income, consumption, and basic living needs (r values ranged from +0.43 to +1), but erratic relationships with equity, employment, and social relationships (r values ranged from -0.93 to +0.96). Also, the positive correlations between food-related provisioning services and HWB were generally weaker in the urbanized regions. Cultural services and HWB were more strongly correlated in later development periods, whereas the relationship between regulating services and HWB was quite variable in space and time. The variations in the relationship over different development periods may be attributable to changing environmental and socioeconomic conditions, while the variations between regions were likely due to spatial heterogeneity of influencing factors. Our findings have an important policy implication for Inner Mongolia and beyond: sustainable management based on the ES and HWB relationship must be temporally adaptive and spatially tailored.

How does the local-scale relationship between ecosystem services and human wellbeing vary across broad regions?

Recent studies have shown that the relationships between ecosystem services (ES) and human wellbeing (HWB) can be positive, negative, or non-existent, but the underlying causes and processes remain unclear. This study aimed to investigate how and why the local level ES-HWB relationship would change geospatially and manifest on broad regions. Using data for Mainland China, we first calculated seven ES and Human Development Index (an indicator of HWB), then used geographically weighted regression and cluster analysis to quantify the county-level ES-HWB relationship, and finally adopted Wilcoxon test and random forest to investigate key influencing factors. We found that (1) the local-scale relationship between ES and HWB exhibited a great deal of spatial heterogeneity, varying from positive to negative or no correlations across broad regions; (2) the varying relationships merged spatially into three general types of regions: Positive Correlation-Dominant Region, Negative Correlation-Dominant Region, and No Correlation-Dominant Region; and (3) the variations and spatial patterns of the ES-HWB relationships were influenced by a number of social-ecological factors (e.g., population density and land cover compositions), and generally corresponded to different stages of land use transition and socioeconomic development: a positive ES-HWB relationship was found mainly in socioeconomically underdeveloped (rural or agricultural) regions with low ES production levels; a negative ES-HWB relationship occurred mostly in intermediately developed regions with abundant non-food ES; and ES and HWB had no relationships in socioeconomically well-developed (intensive agriculture/urbanized) societies with ample provisioning ES. These findings suggest that neither the "environmentalist's paradox" nor the "environmentalist's expectation" adequately accounts for the complexity of the ES-HWB relationship.