Temporal and Spatial Dynamics of Summer Crop Residue Burning Practices in North China: Exploring the Influence of Climate Change and Anthropogenic Factors

Better understanding the complex mechanisms underlying the variations in crop residue burning (CRB) intensity and patterns is crucial for evaluating control strategies and developing sustainable policies aimed at the efficient recycling of crop residues. However, the intricate interplay between the...

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Main Authors: Shuai Yin, Kunpeng Yi, Xiu Zhang, Tangzhe Nie, Lingqi Meng, Zhongyi Sun, Qingnan Chu, Zhipin Ai, Xin Zhao, Lan Wu, Meng Guo, Xinlu Liu
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
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Online Access:https://www.mdpi.com/2072-4292/16/24/4763
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author Shuai Yin
Kunpeng Yi
Xiu Zhang
Tangzhe Nie
Lingqi Meng
Zhongyi Sun
Qingnan Chu
Zhipin Ai
Xin Zhao
Lan Wu
Meng Guo
Xinlu Liu
author_facet Shuai Yin
Kunpeng Yi
Xiu Zhang
Tangzhe Nie
Lingqi Meng
Zhongyi Sun
Qingnan Chu
Zhipin Ai
Xin Zhao
Lan Wu
Meng Guo
Xinlu Liu
author_sort Shuai Yin
collection DOAJ
description Better understanding the complex mechanisms underlying the variations in crop residue burning (CRB) intensity and patterns is crucial for evaluating control strategies and developing sustainable policies aimed at the efficient recycling of crop residues. However, the intricate interplay between the CRB practices, climate variability, and human activities poses a significant challenge in this endeavor. Here, we utilize the high spatiotemporal resolution of satellite observations to characterize and explore the dynamics of summer CRB in North China at multiple scales. Between 2003 and 2012, there was a significant intensification of summer CRB in North China, with the annual number of burning spots increasing by an average of 499 (95% confidence interval, 252–1426) spots/year. However, in 2013, China promulgated the stringent Air Pollution Prevention and Control Action Plan, which led to a rapid decrease in the intensity of summer CRB. Local farmers also adjusted their burning practices, shifting from concentrated and intense burning to a more dispersed and uniformly intense approach. Between 2003 and 2020, the onset of summer CRB shifted earlier in North China by 0.75 (0.5–1.1) days/year, which is attributed to the combined effects of climate change and anthropogenic controls. Specifically, the onset time is found to be significantly and negatively correlated with spring temperature anomalies and positively correlated with anomalies in the number of spring frost days. Climate change has led to a shortened crop growing season, resulting in an earlier start to summer CRB. Moreover, the enhanced anthropogenic controls on CRB expedited this process, making the trend of an earlier start time even more pronounced from 2013 to 2020. Contrary to the earlier onset of summer CRB, the termination of local wheat residue burning experienced a notable delay by 1.0 (0.8–1.4) days/year, transitioning from mid-June to early July.
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spelling doaj-art-59c1b4e2bfc648378db9a050bf1b212b2025-08-20T02:01:09ZengMDPI AGRemote Sensing2072-42922024-12-011624476310.3390/rs16244763Temporal and Spatial Dynamics of Summer Crop Residue Burning Practices in North China: Exploring the Influence of Climate Change and Anthropogenic FactorsShuai Yin0Kunpeng Yi1Xiu Zhang2Tangzhe Nie3Lingqi Meng4Zhongyi Sun5Qingnan Chu6Zhipin Ai7Xin Zhao8Lan Wu9Meng Guo10Xinlu Liu11Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, ChinaDezhou Natural Resources Bureau, Dezhou 253073, ChinaSchool of Water Conservancy and Electric Power, Heilongjiang University, Harbin 150006, ChinaDezhou Natural Resources Bureau, Dezhou 253073, ChinaCollege of Ecology and Environment, Hainan University, Haikou 570228, ChinaCentre for Plant Biotechnology and Genomics (UPM-INIA/CSIC), Montegancedo Campus, Technical University of Madrid, 28223 Madrid, SpainKey Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaBiogeochemical Cycle Modeling and Analysis Section, Earth System Division, National Institute for Environmental Studies, Tsukuba 305-8506, JapanCollege of Ecology and Environment, Hainan University, Haikou 570228, ChinaSchool of Geographical Sciences, Northeast Normal University, Changchun 130024, ChinaCollege of Ecology and Environment, Hainan University, Haikou 570228, ChinaBetter understanding the complex mechanisms underlying the variations in crop residue burning (CRB) intensity and patterns is crucial for evaluating control strategies and developing sustainable policies aimed at the efficient recycling of crop residues. However, the intricate interplay between the CRB practices, climate variability, and human activities poses a significant challenge in this endeavor. Here, we utilize the high spatiotemporal resolution of satellite observations to characterize and explore the dynamics of summer CRB in North China at multiple scales. Between 2003 and 2012, there was a significant intensification of summer CRB in North China, with the annual number of burning spots increasing by an average of 499 (95% confidence interval, 252–1426) spots/year. However, in 2013, China promulgated the stringent Air Pollution Prevention and Control Action Plan, which led to a rapid decrease in the intensity of summer CRB. Local farmers also adjusted their burning practices, shifting from concentrated and intense burning to a more dispersed and uniformly intense approach. Between 2003 and 2020, the onset of summer CRB shifted earlier in North China by 0.75 (0.5–1.1) days/year, which is attributed to the combined effects of climate change and anthropogenic controls. Specifically, the onset time is found to be significantly and negatively correlated with spring temperature anomalies and positively correlated with anomalies in the number of spring frost days. Climate change has led to a shortened crop growing season, resulting in an earlier start to summer CRB. Moreover, the enhanced anthropogenic controls on CRB expedited this process, making the trend of an earlier start time even more pronounced from 2013 to 2020. Contrary to the earlier onset of summer CRB, the termination of local wheat residue burning experienced a notable delay by 1.0 (0.8–1.4) days/year, transitioning from mid-June to early July.https://www.mdpi.com/2072-4292/16/24/4763air pollutionbiomass burningclimate changefire spotsTheil–Sen estimator
spellingShingle Shuai Yin
Kunpeng Yi
Xiu Zhang
Tangzhe Nie
Lingqi Meng
Zhongyi Sun
Qingnan Chu
Zhipin Ai
Xin Zhao
Lan Wu
Meng Guo
Xinlu Liu
Temporal and Spatial Dynamics of Summer Crop Residue Burning Practices in North China: Exploring the Influence of Climate Change and Anthropogenic Factors
Remote Sensing
air pollution
biomass burning
climate change
fire spots
Theil–Sen estimator
title Temporal and Spatial Dynamics of Summer Crop Residue Burning Practices in North China: Exploring the Influence of Climate Change and Anthropogenic Factors
title_full Temporal and Spatial Dynamics of Summer Crop Residue Burning Practices in North China: Exploring the Influence of Climate Change and Anthropogenic Factors
title_fullStr Temporal and Spatial Dynamics of Summer Crop Residue Burning Practices in North China: Exploring the Influence of Climate Change and Anthropogenic Factors
title_full_unstemmed Temporal and Spatial Dynamics of Summer Crop Residue Burning Practices in North China: Exploring the Influence of Climate Change and Anthropogenic Factors
title_short Temporal and Spatial Dynamics of Summer Crop Residue Burning Practices in North China: Exploring the Influence of Climate Change and Anthropogenic Factors
title_sort temporal and spatial dynamics of summer crop residue burning practices in north china exploring the influence of climate change and anthropogenic factors
topic air pollution
biomass burning
climate change
fire spots
Theil–Sen estimator
url https://www.mdpi.com/2072-4292/16/24/4763
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