Jianjun Tang , Xiaoying Jin , Haowei Mu , Sizhong Yang , Ruixia He , Xiaoying Li , Wenhui Wang , Shuai Huang , Jiaxing Zu , Hongwei Wang , Zuwang Li , Lin Yang , Shanzhen Li , Yanlin Shi , Suiqiao Yang , Raul-D. Serban , Mihaela Șerban , Alexander Fedorov , Leonid Gagarin , Ze Zhang , Huijun Jin
{"title":"Impacts of human footprint on habitat quality and permafrost environment in Northeast China","authors":"Jianjun Tang , Xiaoying Jin , Haowei Mu , Sizhong Yang , Ruixia He , Xiaoying Li , Wenhui Wang , Shuai Huang , Jiaxing Zu , Hongwei Wang , Zuwang Li , Lin Yang , Shanzhen Li , Yanlin Shi , Suiqiao Yang , Raul-D. Serban , Mihaela Șerban , Alexander Fedorov , Leonid Gagarin , Ze Zhang , Huijun Jin","doi":"10.1016/j.ecolind.2025.113587","DOIUrl":null,"url":null,"abstract":"<div><div>In Northeast China, intensified human footprints have greatly altered ecosystem service functions, leading to biodiversity decline, habitat fragmentation, and permafrost warming and thaw. For regional ecological security, it is crucial to conduct a detailed investigation of how human footprints affect the ecological environment and ground temperatures over the long-term. This study examines spatiotemporal characteristics of human footprints, habitat quality (HQ), and permafrost distribution in Northeast China using human footprint data, the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model, and GeoDetector model. The following results were obtained. (1) Between 2000 and 2020, human footprint of Northeast China experienced four growth stages with an overall growth rate of 54.2 %, with the most rapid growth between 2010 and 2015. Built environment and nighttime lights (NTL) significantly contributed to human footprint, while cropland had a relatively low contribution at only 1.3 %. (2) In Northeast China, total HQ decreased by 14.5 %, although high habitat degradation level increased by 2.5 %. The areal extent of high-level HQ patches declined by 12.2 % with rising human footprint index, and the proportion of low- and lower-quality habitats increased significantly. (3) Between 2000 and 2018, mean annual ground temperature in Northeast China increased by 0.15 °C, reflecting significant permafrost degradation and an average annual increase rate of 0.063 °C. During this period, permafrost area decreased by 0.9 × 10<sup>5</sup> km<sup>2</sup>, and the southern limit of latitudinal permafrost also shifted northward. (4) Waterways and roads are the main drivers of rising ground temperatures, with waterways having the highest q-value (0.56). The interactions between paired impacting factors also indicate that the highest q-value (0.71) for the intersections of waterways and roads. These research results may contribute to a better understanding of the relationships among human footprint, ecological environment, and ground temperatures in Northeast China, and help provide a basis for ecological conservation.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113587"},"PeriodicalIF":7.0000,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X25005175","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
In Northeast China, intensified human footprints have greatly altered ecosystem service functions, leading to biodiversity decline, habitat fragmentation, and permafrost warming and thaw. For regional ecological security, it is crucial to conduct a detailed investigation of how human footprints affect the ecological environment and ground temperatures over the long-term. This study examines spatiotemporal characteristics of human footprints, habitat quality (HQ), and permafrost distribution in Northeast China using human footprint data, the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model, and GeoDetector model. The following results were obtained. (1) Between 2000 and 2020, human footprint of Northeast China experienced four growth stages with an overall growth rate of 54.2 %, with the most rapid growth between 2010 and 2015. Built environment and nighttime lights (NTL) significantly contributed to human footprint, while cropland had a relatively low contribution at only 1.3 %. (2) In Northeast China, total HQ decreased by 14.5 %, although high habitat degradation level increased by 2.5 %. The areal extent of high-level HQ patches declined by 12.2 % with rising human footprint index, and the proportion of low- and lower-quality habitats increased significantly. (3) Between 2000 and 2018, mean annual ground temperature in Northeast China increased by 0.15 °C, reflecting significant permafrost degradation and an average annual increase rate of 0.063 °C. During this period, permafrost area decreased by 0.9 × 105 km2, and the southern limit of latitudinal permafrost also shifted northward. (4) Waterways and roads are the main drivers of rising ground temperatures, with waterways having the highest q-value (0.56). The interactions between paired impacting factors also indicate that the highest q-value (0.71) for the intersections of waterways and roads. These research results may contribute to a better understanding of the relationships among human footprint, ecological environment, and ground temperatures in Northeast China, and help provide a basis for ecological conservation.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.