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利用遥感和气候数据评估中国青藏高原北部的草原动态

Evaluation of Grassland Dynamics in the Northern-Tibet Plateau of China Using Remote Sensing and Climate Data.

作者信息

Zhang Jiahua, Yao Fengmei, Zheng Lingyun, Yang Limin

机构信息

Laboratory for Remote Sensing and Climate Information Sciences (LRSCIS),Chinese Academy of Meteorological Sciences, Beijing, 100081, China.

College of Earth Sciences, The Graduate University of the Chinese Academy of Sciences, Beijing, 100049, China.

出版信息

Sensors (Basel). 2007 Dec 17;7(12):3312-3328. doi: 10.3390/s7123312.

DOI:10.3390/s7123312
PMID:28903296
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3841897/
Abstract

The grassland ecosystem in the Northern-Tibet Plateau (NTP) of China is verysensitive to weather and climate conditions of the region. In this study, we investigate thespatial and temporal variations of the grassland ecosystem in the NTP using theNOAA/AVHRR ten-day maximum NDVI composite data of 1981-2001. The relationshipsamong Vegetation Peak-Normalized Difference Vegetation Index (VP-NDVI) and climatevariables were quantified for six counties within the NTP. The notable and unevenalterations of the grassland in response to variation of climate and human impact in theNTP were revealed. Over the last two decades of the 20th century, the maximum greennessof the grassland has exhibited high increase, slight increase, no-change, slight decrease andhigh decrease, each occupies 0.27%, 8.71%, 77.27%, 13.06% and 0.69% of the total area ofthe NTP, respectively. A remarkable increase (decrease) in VP-NDVI occurred in thecentral-eastern (eastern) NTP whereas little change was observed in the western andnorthwestern NTP. A strong negative relationship between VP-NDVI and ET0 was foundin sub-frigid, semi-arid and frigid- arid regions of the NTP (i.e., Nakchu, Shantsa, Palgonand Amdo counties), suggesting that the ET0 is one limiting factor affecting grasslanddegradation. In the temperate-humid, sub-frigid and sub-humid regions of the NTP (Chaliand Sokshan counties), a significant inverse correlation between VP-NDVI and populationindicates that human activities have adversely affected the grassland condition as waspreviously reported in the literature. Results from this research suggest that the alterationand degradation of the grassland in the lower altitude of the NTP over the last two decades of the 20th century are likely caused by variations of climate and anthropogenic activities.

摘要

中国青藏高原北部的草原生态系统对该地区的天气和气候条件非常敏感。在本研究中,我们利用1981 - 2001年美国国家海洋和大气管理局(NOAA)/高级甚高分辨率辐射计(AVHRR)的旬最大归一化植被指数(NDVI)合成数据,研究了青藏高原北部草原生态系统的时空变化。对青藏高原北部六个县的植被峰值归一化植被指数(VP - NDVI)与气候变量之间的关系进行了量化。揭示了青藏高原北部草原对气候和人类影响变化的显著且不均衡的变化。在20世纪的最后二十年中,草原的最大绿度呈现出高度增加、轻微增加、无变化、轻微下降和高度下降的情况,分别占青藏高原总面积的0.27%、8.71%、77.27%、13.06%和0.69%。在青藏高原中东部(东部)VP - NDVI出现显著增加(减少),而在青藏高原西部和西北部则变化不大。在青藏高原的亚寒带、半干旱和寒旱地区(即那曲、申扎、巴青和安多县),发现VP - NDVI与潜在蒸散(ET0)之间存在很强的负相关关系,这表明ET0是影响草原退化的一个限制因素。在青藏高原的温带湿润、亚寒带和亚湿润地区(察雅和索县),VP - NDVI与人口之间存在显著的负相关关系,这表明人类活动如文献中先前报道的那样对草原状况产生了不利影响。本研究结果表明,20世纪最后二十年青藏高原较低海拔地区草原的变化和退化可能是由气候和人为活动的变化引起的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2158/3841897/b659dba8c692/sensors-07-03312f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2158/3841897/f9c4e669d2b2/sensors-07-03312f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2158/3841897/273ebae8e2db/sensors-07-03312f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2158/3841897/27426d8ae6cc/sensors-07-03312f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2158/3841897/c33a3b23b3ef/sensors-07-03312f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2158/3841897/26d8f11edb23/sensors-07-03312f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2158/3841897/1a0597283c43/sensors-07-03312f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2158/3841897/85f96c0c4c64/sensors-07-03312f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2158/3841897/b659dba8c692/sensors-07-03312f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2158/3841897/f9c4e669d2b2/sensors-07-03312f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2158/3841897/273ebae8e2db/sensors-07-03312f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2158/3841897/27426d8ae6cc/sensors-07-03312f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2158/3841897/c33a3b23b3ef/sensors-07-03312f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2158/3841897/26d8f11edb23/sensors-07-03312f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2158/3841897/1a0597283c43/sensors-07-03312f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2158/3841897/85f96c0c4c64/sensors-07-03312f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2158/3841897/b659dba8c692/sensors-07-03312f8.jpg

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本文引用的文献

1
African land-cover classification using satellite data.利用卫星数据进行非洲土地覆盖分类。
Science. 1985 Jan 25;227(4685):369-75. doi: 10.1126/science.227.4685.369.
2
Grassland responses to global environmental changes suppressed by elevated CO2.二氧化碳浓度升高抑制了草原对全球环境变化的响应。
Science. 2002 Dec 6;298(5600):1987-90. doi: 10.1126/science.1075312.
3
Simulating canopy stomatal conductance of winter wheat and its distribution using remote sensing information.利用遥感信息模拟冬小麦冠层气孔导度及其分布
移动平台采样在环境传感器网络设计中的应用。
Environ Monit Assess. 2018 Feb 9;190(3):130. doi: 10.1007/s10661-018-6510-0.
4
Assessing phenological change and climatic control of alpine grasslands in the Tibetan Plateau with MODIS time series.利用MODIS时间序列评估青藏高原高寒草原的物候变化及气候控制因素
Int J Biometeorol. 2015 Jan;59(1):11-23. doi: 10.1007/s00484-014-0817-5. Epub 2014 Mar 29.
J Environ Sci (China). 2001 Oct;13(4):439-43.
4
Evolution of Asian monsoons and phased uplift of the Himalaya-Tibetan plateau since Late Miocene times.自晚中新世以来亚洲季风的演化及喜马拉雅-青藏高原的阶段性隆升。
Nature. 2001 May 3;411(6833):62-6. doi: 10.1038/35075035.