{"title":"盐城市县域碳汇时空特征及影响因素分析","authors":"Jian-Bao Li, Cai-Li Zhang, Hong-Mei Chen, Xiao-Feng Zhao, Ying Li, Pei-Zhen Wang","doi":"10.13227/j.hjkx.202404023","DOIUrl":null,"url":null,"abstract":"<p><p>The spatio-temporal characteristics of carbon sinks in the Yancheng City from 1990 to 2020 were investigated using kernel density, trend analysis, and standard deviation ellipse, and a multi-scale geographically weighted regression was constructed to analyze the main factors influencing carbon sinks. The results showed that: ① The carbon sinks generally exhibited an increasing trend. The absolute difference in carbon sinks showed an overall fluctuating upward trend, consistent with the relative difference. An imbalance in carbon sinks was observed among different counties, and it showed an increasing trend. ② From 1990 to 2020, the high value areas of carbon sinks were mainly distributed in the coastal areas of Yancheng, and the spatial pattern of carbon sinks was stable. The spatial distribution characteristic was low in the west and north and high in the east and south. The center of the standard deviation ellipse of the carbon sinks followed a 10-year cycle and shifted considerably over this period. ③ The results of the multi-scale geographically weighted regression model showed that the proportion of secondary industry, per capita gross domestic product, population density, and land use intensity had different effects on carbon sinks. The secondary industry had the strongest negative effect on carbon sinks, making it crucial to reduce its proportion to enhance carbon sinks.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 4","pages":"1985-1994"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Spatio-temporal Characteristics and Influencing Factors of Carbon Sinks at the County Level in the Yancheng City].\",\"authors\":\"Jian-Bao Li, Cai-Li Zhang, Hong-Mei Chen, Xiao-Feng Zhao, Ying Li, Pei-Zhen Wang\",\"doi\":\"10.13227/j.hjkx.202404023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The spatio-temporal characteristics of carbon sinks in the Yancheng City from 1990 to 2020 were investigated using kernel density, trend analysis, and standard deviation ellipse, and a multi-scale geographically weighted regression was constructed to analyze the main factors influencing carbon sinks. The results showed that: ① The carbon sinks generally exhibited an increasing trend. The absolute difference in carbon sinks showed an overall fluctuating upward trend, consistent with the relative difference. An imbalance in carbon sinks was observed among different counties, and it showed an increasing trend. ② From 1990 to 2020, the high value areas of carbon sinks were mainly distributed in the coastal areas of Yancheng, and the spatial pattern of carbon sinks was stable. The spatial distribution characteristic was low in the west and north and high in the east and south. The center of the standard deviation ellipse of the carbon sinks followed a 10-year cycle and shifted considerably over this period. ③ The results of the multi-scale geographically weighted regression model showed that the proportion of secondary industry, per capita gross domestic product, population density, and land use intensity had different effects on carbon sinks. The secondary industry had the strongest negative effect on carbon sinks, making it crucial to reduce its proportion to enhance carbon sinks.</p>\",\"PeriodicalId\":35937,\"journal\":{\"name\":\"环境科学\",\"volume\":\"46 4\",\"pages\":\"1985-1994\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"环境科学\",\"FirstCategoryId\":\"1087\",\"ListUrlMain\":\"https://doi.org/10.13227/j.hjkx.202404023\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Environmental Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"环境科学","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.13227/j.hjkx.202404023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Environmental Science","Score":null,"Total":0}
[Spatio-temporal Characteristics and Influencing Factors of Carbon Sinks at the County Level in the Yancheng City].
The spatio-temporal characteristics of carbon sinks in the Yancheng City from 1990 to 2020 were investigated using kernel density, trend analysis, and standard deviation ellipse, and a multi-scale geographically weighted regression was constructed to analyze the main factors influencing carbon sinks. The results showed that: ① The carbon sinks generally exhibited an increasing trend. The absolute difference in carbon sinks showed an overall fluctuating upward trend, consistent with the relative difference. An imbalance in carbon sinks was observed among different counties, and it showed an increasing trend. ② From 1990 to 2020, the high value areas of carbon sinks were mainly distributed in the coastal areas of Yancheng, and the spatial pattern of carbon sinks was stable. The spatial distribution characteristic was low in the west and north and high in the east and south. The center of the standard deviation ellipse of the carbon sinks followed a 10-year cycle and shifted considerably over this period. ③ The results of the multi-scale geographically weighted regression model showed that the proportion of secondary industry, per capita gross domestic product, population density, and land use intensity had different effects on carbon sinks. The secondary industry had the strongest negative effect on carbon sinks, making it crucial to reduce its proportion to enhance carbon sinks.