Influence of meteorological factors on ecosystem services value:a case study of Beijing-Tianjin-Hebei region, China

Z Y Zhu,L H Chen,X Y Wang,Z Y Zhao,M F Yang,H Q Li

doi:10.1088/1755-1315/471/1/012001

Abstract

Meteorological factors are one of the natural factors, which affect ecosystem services value(ESV). Influence of meteorological factors was studied in Beijing-Tianjin-Hebei region using odinary least square (OLS) with geographical weighted regression (GWR). The main aim of this study was to reveal the differences in the influence mechanism at the global and local levels. The main meteorological factors influencing ESV were temperature and precipitation, followed by humidity. Days with annual daily precipitation≥0.1mm, annual minimum precipitation and annual average relative humidity were three important meteorological factors. Annual temperature range, annual minimum precipitation, days with annual daily precipitation≥0.1mm, in particular, the last one had an obvious positive effect. The positive and negative effects of annual average relative humidity were coexisting, and the negative effect was the main. It was obvious that the spatial distribution characteristics of the local influence mechanism. The local model of GWR can better solve the spatial non-stationarity of the dependent and independent variables, thus it was better than the global model of OLS. The results also provide detailed field information on the different effects of meteorological factors at different locations.

Highlights

The impact of natural factors and human activities on global ecosystems is increasing, the resulting changes in ecosystem services and human well-being have become a focus of research attention [1]
The results showed that the geographical weighted regression (GWR) model improves the effect of global regression model, that was, the GWR model solved the problem of spatial non-stationarity well, and the fitting effect of the GWR was better than the global regression model
This paper studied the global and local influencing mechanisms of meteorological factors on ecosystem services value (ESV) by ordinary least square (OLS) with GWR in the region

Summary

Introduction

The impact of natural factors and human activities on global ecosystems is increasing, the resulting changes in ecosystem services and human well-being have become a focus of research attention [1]. The combination of natural factors and human activities affected ESV. The “driving forces” are a general term for the factors that cause changes in the ecosystem. There are five major types of driving forces: socioeconomic, political, technological, natural and cultural driving forces [2].The factors that directly affect the ecosystem process are called direct driving forces, which can be measured and identified at different precisions; by changing the direct driving force, indirect effects are called indirect driving forces, which determine the magnitude of action from its impact on the direct driving force [3]. Exploring the underlying mechanisms can provide an important basis for land management in an environment of greater human impact, it helps to understand the trade-offs and synergies among multiple environmental factors [4]

Objectives

Methods

Results

Discussion

Conclusion