首页|京津冀地区kNDVI时空变化及对气候因子的响应

京津冀地区kNDVI时空变化及对气候因子的响应

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[目的]探究京津冀地区植被动态变化对气候的响应机制,为更好地理解植被变化成因,为指导京津冀地区生态环境修复提供科学依据.[方法]利用趋势分析、偏相关分析、机器学习与可解释性方法,分析2000-2020年京津冀地区核归一化差异植被指数(kNDVI)的时空变化,探讨京津冀地区及不同用地类型kNDVI对降水和气温响应的差异性.[结果]京津冀地区kNDVI呈改善态势,增速为0.025/10 a,西北部改善较明显,林地明显改善面积最多,约占总面积17%;草地kNDVI的增速最快,为0.061/10 a;东南部城市周边退化明显,耕地kNDVI变化频繁,改善较多;京津冀大部分区域kNDVI与气温和降水的相关性均呈正相关,仅在南部城市周边表现为负相关;降水多年SHAP值为0.028,气温的多年SHAP值为0.016,均对京津冀地区kNDVI产生正面影响,总体上,降水对kNDVI的影响强于气温的影响.京津冀地区kNDVI对气候的响应存在区域差异,东南部平原区域的耕地kNDVI及西北部山区林地、草地kNDVI受降水的促进作用较明显,在城市周边和张家口等植被稀疏区域kNDVI受降水负面影响;气温对西北部林地与草地kNDVI的促进作用强于降水,气温对位于南部平原的耕地kNDVI有一定负面影响,而城乡、工矿、居民用地kNDVI受气温的负面影响最大.[结论]京津冀地区植被变化对降水的积极响应更强,不同土地利用类型kNDVI对气候因子响应具有区域空间差异.
Spatiotemporal variation of kNDVI and its response to climatic factors in Beijing-Tianjin-Hebei region
[Objective]The study aimed to explore the response mechanisms of vegetation dynamics in the Beijing-Tianjin-Hebei region to cli-mate factors for a deeper understanding of the causes behind these alterations.It also served as scientific evidence for guiding ecological resto-ration efforts in the region.[Method]Trends analysis,partial correlation analysis,machine learning techniques,and explainable method were employed to examine the spatiotemporal changes in the kernel normalized difference vegetation index(kNDVI)in the Beijing-Tianjin-Hebei region from 2000 to 2020,as well as to investigate the differential responses of kNDVI within the region and across different land use types to precipitation and temperature.[Result]The findings indicated an improving trend for the kNDVI in the Beijing-Tianjin-Hebei region,with a growth rate of 0.025 per decade.The northwest region exhibited more significant improvement,particularly in forests,which accounted for ap-proximately 17%of the total area.The kNDVI of grasslands showed the fastest growth rate,increasing by 0.061 per decade.The surrounding areas of the southeastern cities were obviously degraded,and the cultivated land kNDVI changed frequently,showing more improvement.The correlation between kNDVI and temperature and precipitation displayed a marked positive trend,with a negative correlation found only around the southern cities.The multi-year SHAP value of precipitation was 0.028,and the multi-year SHAP value of temperature was 0.016,both of which had a positive impact on kNDVI in the Beijing-Tianjin-Hebei region.The overall impact of precipitation on kNDVI was stronger than that of temperature.The kNDVI response of Beijing-Hebei-Tianjin to climate was characterized by regional disparities.The kNDVI of the cul-tivated land in the southeast plain region and the forest and grassland in the northwest mountain region were significantly promoted by precipi-tation.In contrast,the kNDVI of the sparse vegetation areas around the cities and Zhangjiakou was negatively affected by precipitation.For the northwest woodland and grassland kNDVI,the promotion of temperature was stronger than precipitation.Temperature had a certain negative impact on the cultivated land kNDVI located in the southern plain,while the urban and rural areas,industrial and mining areas,and residen-tial land kNDVI were most negatively affected by temperature.[Conclusion]Vegetation change in the Beijing-Tianjin-Hebei region showes a stronger positive response to precipitation,with distinct regional spatial differences in the kNDVI response to climate factors for various land use types.

Vegetation changekNDVIClimatic factorSHAP interpretation methodBeijing-Tianjin-Hebei region

郭岚瑄、王贺封、沈石凯、赵金山、魏凯濠

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河北工程大学矿业与测绘工程学院,河北邯郸 056038

河北省煤田地质局水文地质队,河北邯郸 056000

植被变化 kNDVI 气候因子 SHAP解释方法 京津冀

河北省高等学校科学技术研究重点项目

ZD2020312

2024

西南农业学报
四川,云南,贵州,广西,西藏及重庆省(区,市)农科院

西南农业学报

CSTPCD北大核心
影响因子:0.679
ISSN:1001-4829
年,卷(期):2024.37(8)