Abstract

Urbanization changes the land surface environment, which alters the regional climate system. In this study, we took the Haihe River Basin in China as a case study area, as it is highly populated and experienced rapid urbanization from 2000–2015. We investigated how land use and cover change (LUCC) was driven by urban land development affects land-climate dynamics. From 2000–2015, we collected data from the land use and cover database, the remote sensing database of the Moderate Resolution Imaging Spectroradiometer (MODIS) series, and the meteorological database to process and generate regional datasets for LUCC maps. We organized data by years aligned with the selected indicators of land surface, normalized difference vegetation index (NDVI), albedo, and land surface temperature (LST), as well as of regional climate, cloud water content (CWC), and precipitation (P). The assembled datasets were processed to perform statistical analysis and conduct structural equation modelling (SEM). Based on eco-climatology principles and the biophysical process in the land-climate dynamics, we made assumptions on how the indicators connected to each other. Moreover, we testified and quantified them in SEM. LUCC results found that from 2000–2015 the urban area proportion increased by 214% (2.20–6.91%), while the agricultural land decreased by 7.2% (53.05–49.25%) and the forest increased by 4.3% (10.02–10.45%), respectively. This demonstrated how cropland intensification and afforestation happened in the urbanizing basin. SEM results showed that the forest had both positive and negative effects on the regional hydrological cycle. The agricultural land, grassland, and shrub had indirect effects on the P via different biophysical functions of LST. The overall effects of urbanization on regional precipitation was positive (pathway correlation coefficient = 0.25). The interpretation of how urbanization drives LUCC and alters regional climate were herein discussed in different aspects of socioeconomic development, biophysical processes, and urbanization-related atmospheric effects. We provided suggestions for further possible research on monitoring and assessment, putting forth recommendations to advance sustainability via land planning and management, including agricultural land conservation, paying more attention to the quality growth of forest rather than the merely area expansion, integrating the interdisciplinary approach, and assessing climatic risk for extreme precipitation and urban flooding.

Highlights

  • Urbanization, industrialization, cropland intensification, and climate change are major anthropogenic drivers that significantly alter land surface properties and processes of terrestrial ecosystems [1,2,3]

  • We investigated the urbanization-driven changes in the land-climate dynamics in the Haihe River basin by combining datasets of satellite imagery and meteorological assimilation

  • We considered how land use and cover change (LUCC) were linked with land surface indicators (e.g., normalized difference vegetation index (NDVI), albedo, and land surface temperature (LST)), i.e., between the first and second layers

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Summary

Introduction

Urbanization, industrialization, cropland intensification, and climate change are major anthropogenic drivers that significantly alter land surface properties and processes of terrestrial ecosystems [1,2,3]. Since the 1990s, uncovering the interaction between LUCC and climate change has become a hot spot in earth system studies [6,7]. The recent accumulation of remote sensing databases released by European, US, and Chinese agencies, including hundreds of environmental indicators at the global scale, offered new opportunities to investigate the relationship between LUCC and regional climate systems over space and time [11,12]. In the face of global changes, an integrated framework linking major factors of land-climate dynamics is required to disentangle the complexity of such coupled systems and their underlying mechanisms

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