Comprehensive Assessment of the Effect of Urban Built-Up Land Expansion and Climate Change on Net Primary Productivity

Urbanization is causing profound changes in ecosystem functions at local and regional scales. The net primary productivity (NPP) is an important indicator of global change, rapid urbanization and climate change will have a significant impact on NPP, and urban expansion and climate change in differen...

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Main Authors: Pengyan Zhang, Yanyan Li, Wenlong Jing, Dan Yang, Yu Zhang, Ying Liu, Wenliang Geng, Tianqi Rong, Jingwen Shao, Jiaxin Yang, Mingzhou Qin
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2020/8489025
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author Pengyan Zhang
Yanyan Li
Wenlong Jing
Dan Yang
Yu Zhang
Ying Liu
Wenliang Geng
Tianqi Rong
Jingwen Shao
Jiaxin Yang
Mingzhou Qin
author_facet Pengyan Zhang
Yanyan Li
Wenlong Jing
Dan Yang
Yu Zhang
Ying Liu
Wenliang Geng
Tianqi Rong
Jingwen Shao
Jiaxin Yang
Mingzhou Qin
author_sort Pengyan Zhang
collection DOAJ
description Urbanization is causing profound changes in ecosystem functions at local and regional scales. The net primary productivity (NPP) is an important indicator of global change, rapid urbanization and climate change will have a significant impact on NPP, and urban expansion and climate change in different regions have different impacts on NPP, especially in densely populated areas. However, to date, efforts to quantify urban expansion and climate change have been limited, and the impact of long-term continuous changes in NPP has not been well understood. Based on land use data, night light data, NPP data, climate data, and a series of social and economic data, we performed a comprehensive analysis of land use change in terms of type and intensity and explored the pattern of urban expansion and its relationship with NPP and climate change for the period of 2000–2015, taking Zhengzhou, China, as an example. The results show that the major form of land use change was cropland to built-up land during the 2000–2015 period, with a total area of 367.51 km2 converted. The NPP exhibited a generally increasing trend in the study area except for built-up land and water area. The average correlation coefficients between temperature and NPP and precipitation and NPP were 0.267 and 0.020, respectively, indicating that an increase in temperature and precipitation can promote NPP despite significant spatial differences. During the examined period, most expansion areas exhibited an increasing NPP trend, indicating that the influence of urban expansion on NPP is mainly characterized by an evident influence of the expansion area. The study can provide a reference for Zhengzhou and even the world's practical research to improve land use efficiency, increase agricultural productivity and natural carbon sinks, and maintain low-carbon development.
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spelling doaj-art-5bd5918fc3ae484ba8f2549e7fb955cc2025-02-03T01:04:39ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/84890258489025Comprehensive Assessment of the Effect of Urban Built-Up Land Expansion and Climate Change on Net Primary ProductivityPengyan Zhang0Yanyan Li1Wenlong Jing2Dan Yang3Yu Zhang4Ying Liu5Wenliang Geng6Tianqi Rong7Jingwen Shao8Jiaxin Yang9Mingzhou Qin10Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan Overseas Expertise Introduction Center for Discipline Innovation (Ecological Protection and Rural Revitalization Along the Yellow River), Henan University, Kaifeng 475004, ChinaKey Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan Overseas Expertise Introduction Center for Discipline Innovation (Ecological Protection and Rural Revitalization Along the Yellow River), Henan University, Kaifeng 475004, ChinaKey Laboratory of Guang dong for Utilization of Remote Sensing and Geographical Information System, Guang dong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou, ChinaKey Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan Overseas Expertise Introduction Center for Discipline Innovation (Ecological Protection and Rural Revitalization Along the Yellow River), Henan University, Kaifeng 475004, ChinaKey Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan Overseas Expertise Introduction Center for Discipline Innovation (Ecological Protection and Rural Revitalization Along the Yellow River), Henan University, Kaifeng 475004, ChinaKey Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan Overseas Expertise Introduction Center for Discipline Innovation (Ecological Protection and Rural Revitalization Along the Yellow River), Henan University, Kaifeng 475004, ChinaKey Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan Overseas Expertise Introduction Center for Discipline Innovation (Ecological Protection and Rural Revitalization Along the Yellow River), Henan University, Kaifeng 475004, ChinaKey Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan Overseas Expertise Introduction Center for Discipline Innovation (Ecological Protection and Rural Revitalization Along the Yellow River), Henan University, Kaifeng 475004, ChinaKey Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan Overseas Expertise Introduction Center for Discipline Innovation (Ecological Protection and Rural Revitalization Along the Yellow River), Henan University, Kaifeng 475004, ChinaKey Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan Overseas Expertise Introduction Center for Discipline Innovation (Ecological Protection and Rural Revitalization Along the Yellow River), Henan University, Kaifeng 475004, ChinaKey Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan Overseas Expertise Introduction Center for Discipline Innovation (Ecological Protection and Rural Revitalization Along the Yellow River), Henan University, Kaifeng 475004, ChinaUrbanization is causing profound changes in ecosystem functions at local and regional scales. The net primary productivity (NPP) is an important indicator of global change, rapid urbanization and climate change will have a significant impact on NPP, and urban expansion and climate change in different regions have different impacts on NPP, especially in densely populated areas. However, to date, efforts to quantify urban expansion and climate change have been limited, and the impact of long-term continuous changes in NPP has not been well understood. Based on land use data, night light data, NPP data, climate data, and a series of social and economic data, we performed a comprehensive analysis of land use change in terms of type and intensity and explored the pattern of urban expansion and its relationship with NPP and climate change for the period of 2000–2015, taking Zhengzhou, China, as an example. The results show that the major form of land use change was cropland to built-up land during the 2000–2015 period, with a total area of 367.51 km2 converted. The NPP exhibited a generally increasing trend in the study area except for built-up land and water area. The average correlation coefficients between temperature and NPP and precipitation and NPP were 0.267 and 0.020, respectively, indicating that an increase in temperature and precipitation can promote NPP despite significant spatial differences. During the examined period, most expansion areas exhibited an increasing NPP trend, indicating that the influence of urban expansion on NPP is mainly characterized by an evident influence of the expansion area. The study can provide a reference for Zhengzhou and even the world's practical research to improve land use efficiency, increase agricultural productivity and natural carbon sinks, and maintain low-carbon development.http://dx.doi.org/10.1155/2020/8489025
spellingShingle Pengyan Zhang
Yanyan Li
Wenlong Jing
Dan Yang
Yu Zhang
Ying Liu
Wenliang Geng
Tianqi Rong
Jingwen Shao
Jiaxin Yang
Mingzhou Qin
Comprehensive Assessment of the Effect of Urban Built-Up Land Expansion and Climate Change on Net Primary Productivity
Complexity
title Comprehensive Assessment of the Effect of Urban Built-Up Land Expansion and Climate Change on Net Primary Productivity
title_full Comprehensive Assessment of the Effect of Urban Built-Up Land Expansion and Climate Change on Net Primary Productivity
title_fullStr Comprehensive Assessment of the Effect of Urban Built-Up Land Expansion and Climate Change on Net Primary Productivity
title_full_unstemmed Comprehensive Assessment of the Effect of Urban Built-Up Land Expansion and Climate Change on Net Primary Productivity
title_short Comprehensive Assessment of the Effect of Urban Built-Up Land Expansion and Climate Change on Net Primary Productivity
title_sort comprehensive assessment of the effect of urban built up land expansion and climate change on net primary productivity
url http://dx.doi.org/10.1155/2020/8489025
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