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基于 NDVI 的 1982 年至 2015 年黑龙江-阿穆尔河流域植被动态及其对气候变化的响应

NDVI-based vegetation dynamics and its response to climate changes at Amur-Heilongjiang River Basin from 1982 to 2015.

机构信息

Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China.

Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China.

出版信息

Sci Total Environ. 2019 Feb 10;650(Pt 2):2051-2062. doi: 10.1016/j.scitotenv.2018.09.115. Epub 2018 Sep 10.

Abstract

Vegetation in Northern Hemisphere, being sensitive to climate change, plays an important role in the carbon cycles between land and the atmosphere. The response of vegetation to climate change was analyzed at pixel, biome and regional scale in Amur-Heilongjiang River Basin (AHRB) for growing season, spring, summer and autumn using Normalized Difference Vegetation Index and gridded climate data for the period 1982-2015. NDVI and climate variables trend detection methods and correlation analysis were applied. The potential impacts of human activities on growing season NDVI dynamics were investigated further using residual trend analysis. Results showed that at river basin scale, growing season vegetation experienced a discontinuous greening trend with two reversals, demonstrating that NDVI initially increased to mid-1990s, then declined to mid-2000s, and finally rebounded to 2015. This may be attributed to the shifting between drought and wet trends, indicating growing season NDVI was mainly regulated by precipitation. Temperature was the dominant factor on affecting spring vegetation growth while autumn NDVI showed negative correlation with precipitation due to the relation of precipitation with sunshine hours available for photosynthesis. The response of vegetation growth to climatic variations varied among vegetation types. Grassland NDVI exhibited positive correlation with precipitation in all time ranges. NDVI of needleleaved forest, broadleaved forest, mixed forest and woodland were positively correlated with temperature in all seasons, while showing significant negative correlation with autumn precipitation. Residual trend analysis revealed that human activities might lead to the vegetation degradation in China farming zone of AHRB. Fires also play an important role in regulating vegetation dynamics in the region. Results of our analysis can be used by national governments from three countries of AHRB in managing and negotiating vegetation resources of the region.

摘要

北半球的植被对气候变化敏感,在陆地与大气之间的碳循环中起着重要作用。利用归一化植被指数和网格化气候数据,在 1982-2015 年期间,对黑龙江流域(AHRB)生长季、春季、夏季和秋季的植被对气候变化的响应进行了像素、生物群落和区域尺度的分析。应用了 NDVI 和气候变量趋势检测方法和相关分析。进一步利用残差趋势分析研究了人类活动对生长季 NDVI 动态的潜在影响。结果表明,在流域尺度上,生长季植被经历了一个不连续的绿化趋势,有两个逆转,表明 NDVI 最初增加到 90 年代中期,然后下降到 21 世纪初,最后反弹到 2015 年。这可能归因于干旱和湿润趋势的转变,表明生长季 NDVI 主要受降水调节。温度是影响春季植被生长的主要因素,而秋季 NDVI 与降水呈负相关,这是由于降水与光合作用所需的日照时间有关。植被生长对气候变化的响应因植被类型而异。草原 NDVI 在所有时间范围内都与降水呈正相关。在所有季节,针叶林、阔叶林、混交林和林地的 NDVI 与温度呈正相关,而与秋季降水呈显著负相关。残差趋势分析表明,人类活动可能导致 AHRB 中国农耕区的植被退化。火灾在调节该地区植被动态方面也起着重要作用。我们的分析结果可被 AHRB 三国的各国政府用于管理和协商该地区的植被资源。

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