青藏高原不同退化梯度下植被蒸散发的时空格局研究

doi:10.11733/j.issn.1007-0435.2023.01.029

草地学报 ›› 2023, Vol. 31 ›› Issue (1): 252-262.DOI: 10.11733/j.issn.1007-0435.2023.01.029

青藏高原不同退化梯度下植被蒸散发的时空格局研究

刘长雨¹, 谢保鹏¹, 杨洁², 陈英¹, 裴婷婷¹

1. 甘肃农业大学管理学院, 甘肃兰州 730070;
2. 甘肃农业大学草业学院, 甘肃兰州 730070

收稿日期:2022-06-17 修回日期:2022-10-27 出版日期:2023-01-15 发布日期:2023-02-07
通讯作者: 谢保鹏, E-mail:xiebp@gsau.edu.cn
作者简介:刘长雨(1996-)，女，湖北襄阳人，硕士研究生，主要从事土地生态方面研究，E-mail:1765978566@qq.com
基金资助:
甘肃农业大学公招博士科研启动基金(GAU-KYQD-2017-34)；甘肃农业大学青年导师扶持基金(GAU-QDFC-2021-06)资助

Spatial and Temporal Patterns of Vegetation Evapotranspiration under Different Degradation Gradients in the Qinghai-Tibet Plateau

LIU Chang-yu¹, XIE Bao-peng¹, YANG Jie², CHEN Ying¹, PEI Ting-ting¹

1. College of Management, Gansu Agricultural University, China, Lanzhou, Gansu Province 730070;
2. College of Grass Industry, Gansu Agricultural University, Lanzhou, Gansu Province 730070, China

Received:2022-06-17 Revised:2022-10-27 Online:2023-01-15 Published:2023-02-07

摘要/Abstract

摘要： 全面深入地了解青藏高原蒸散发与植被退化的关系对陆地生态系统的稳定有十分重要的意义。本文选取MODIS16A2数据分析青藏高原及其14 个子流域蒸散发的时空格局，同时选用MODIS NDVI及GIMMS NDVI3g数据采用像元二分模型计算青藏高原植被覆盖度，进而识别青藏高原植被退化梯度和植被变化区，以此探究2001—2020 年青藏高原不同退化梯度和不同植被变化区蒸散发的变化趋势。结果表明：2001—2020 年青藏高原蒸散发呈波动上升趋势，空间上呈中部低，东南高的态势，14 个子流域中羌塘高原区的蒸散发最高，黄河流域的蒸散发最低，同时大部分地区蒸散发未来将呈现下降趋势。青藏高原各植被类型中灌木的蒸散发最高，其次是森林和草地。2001—2020 年青藏高原植被退化不断减弱，各退化区蒸散发的均值排序为：未退化区>轻度退化区>极重度退化区>中度退化区>重度退化区。青藏高原植被恢复区集中在青海湖和柴达木盆地周边区域且植被恢复区面积高于植被恶化区，各植被变化区的年均蒸散发呈波动上升趋势，总体呈植被恢复区>植被不变区>植被恶化区。识别青藏高原植被退化梯度及植被蒸散发的时空特征能为当地生态安全格局构建和高寒植被退化的恢复治理提供参考。

关键词: 蒸散发, 退化梯度, 植被变化, 青藏高原

Abstract: A comprehensive and in-depth understanding of the relationship between evapotranspiration and vegetation degradation in the Qinghai-Tibet Plateau is of great significance to the stability of terrestrial ecosystems. In this paper,MODIS16A2 data was selected to analyze the temporal and spatial patterns of evapotranspiration in the Qinghai-Tibet Plateau and its 14 sub-watersheds. At the same time,MODIS NDVI and GIMMS NDVI3g data were selected to calculate the vegetation coverage of the Qinghai-Tibet Plateau using a pixel binary model,identify the vegetation degradation gradient and vegetation change areas on the Qinghai-Tibet Plateau,and to explore the changing trend of evapotranspiration in different degradation gradients and different vegetation change areas of the Qinghai-Tibet Plateau from 2001 to 2020. The results showed that:from 2001 to 2020,the evapotranspiration from the Qinghai-Tibet Plateau showed a fluctuating upward trend,with a trend of low in the middle and high in the southeast. Among the 14 sub-basins,the evapotranspiration in the Qiangtang Plateau was the highest,and that in the Yellow River Basin was the lowest. Regional evapotranspiration would show a downward trend in the future. Among all vegetation types on the Qinghai-Tibet Plateau,shrubs had the highest evapotranspiration,followed by forests and grasslands. From 2001 to 2020,the vegetation degradation on the Qinghai-Tibet Plateau continued to weaken. The average evapotranspiration in each degraded area was ranked as follows:non-degraded area > mildly degraded area > extra severely degraded area > moderately degraded area > severely degraded area. The vegetation restoration areas on the Qinghai-Tibet Plateau were concentrated in the surrounding areas of Qinghai Lake and the Qaidam Basin,and the area of the vegetation restoration areas was higher than that of the vegetation deterioration areas. Area > Vegetation Deterioration Area. Identifying the temporal and spatial characteristics of vegetation degradation gradient and vegetation evapotranspiration on the Qinghai-Tibet Plateau can provide a reference for the construction of the local ecological security pattern and the restoration and management of alpine vegetation degradation.

Key words: Evapotranspiration, Degradation gradient, Vegetation change, Qinghai-Tibet Plateau

中图分类号:

S812

刘长雨, 谢保鹏, 杨洁, 陈英, 裴婷婷. 青藏高原不同退化梯度下植被蒸散发的时空格局研究[J]. 草地学报, 2023, 31(1): 252-262.

LIU Chang-yu, XIE Bao-peng, YANG Jie, CHEN Ying, PEI Ting-ting. Spatial and Temporal Patterns of Vegetation Evapotranspiration under Different Degradation Gradients in the Qinghai-Tibet Plateau[J]. Acta Agrestia Sinica, 2023, 31(1): 252-262.

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参考文献

[1] PASCOLINI-CAMPBELL M,REAGER J T,CHANDANPURKAR H A,et al. A 10 percent increase in global land evapotranspiration from 2003 to 2019[J]. Nature,2021,593(7860):543-547
[2] DU J,QUAN Z,FANG S,et al. Spatiotemporal changes in vegetation coverage and its causes in China since the Chinese economic reform[J].Environmental science and pollution research international,2020,27(1):1144-1159
[3] CHEN C,PARK T,WANG X,et al. China and India lead in greening of the world through land-use management[J]. Nature Sustainability,2019(2):122-129
[4] 孙鸿烈,郑度,姚檀栋,等. 青藏高原国家生态安全屏障保护与建设[J]. 地理学报,2012,67(1):3-12
[5] KUANG X X,JIAO J J. Review on climate change on the Tibetan Plateau during the last half century[J]. Journal of Geophysical Research,D. Atmospheres:JGR,2016,121(8):3979-4007
[6] YAO T,THOMPSON L,YANG W. Different glacier status with atmospheric circulations in Tibetan Plateau and surroundings[J]. Nature Climate Change,2012(2):663-667
[7] FU J,GONG Y,ZHENG W,et al. Spatial-temporal variations of terrestrial evapotranspiration across China from 2000 to 2019[J]. Science of The Total Environment,2022,825:153951
[8] 涂军,石承苍. 青藏高原退化高寒草甸草原分类的遥感研究[J]. 草地学报,1998(3):226-233
[9] LI X Y,MA Y J,HUANG Y M,et al. Evaporation and surface energy budget over the largest high-altitude saline lake on the Qinghai-Tibet Plateau[J]. Journal of Geophysical Research:Atmospheres,2016,121(18):10470-10485
[10] 尚程鹏,吴通华,姚济敏,等. 不同互补模型对青藏高原多年冻土区地表实际蒸散发的模拟能力评估[J]. 高原气象,2022,41(3):541-557
[11] 张文旭,王根绪,胡兆永. 三种蒸散发测算方法的比较——以青藏高原风火山地区为例[J]. 冰川冻土,2022,44(2):1-10
[12] 孙树娇,周秉荣,周华坤,等.青藏高原典型高寒荒漠生长季蒸散及水分消耗特征研究[J].草地学报,2021,29(S1):137-145
[13] LI T. Interdependent Dynamics of LAI-ET across Roofing Landscapes:The Mongolian and Tibetan Plateaus[J]. Journal of Resources and Ecology,2019,10(3):296
[14] 霍莉莉,陈懂懂,李奇,等. 三江源地区草地植物功能性状与蒸散发关系研究[J].草地学报,2022,30(8):2182-2190
[15] 姚天次,卢宏玮,于庆,等. 近50年来青藏高原及其周边地区潜在蒸散发变化特征及其突变检验[J]. 地球科学进展,2020,35(5):534-546
[16] LIU X,YANG W,ZHAO H,et al. Effects of the freeze-thaw cycle on potential evapotranspiration in the permafrost regions of the Qinghai-Tibet Plateau,China[J]. Science of The Total Environment,2019,687:257-266
[17] 韩丽,宋克超,张文江,等. 长江源头流域水文要素时空变化及对气候因子的响应[J]. 山地学报,2017,35(2):129-141
[18] 韩典辰,张方敏,陈吉泉,等. 半干旱区草地站蒸散特征及其对气象因子和植被的响应[J]. 草地学报,2021,29(1):166-173
[19] MA N,ZHANG Y Q. Increasing Tibetan Plateau terrestrial evapotranspiration primarily driven by precipitation[J]. Agricultural and Forest Meteorology,2022,317:108887
[20] 于海英,许建初. 气候变化对青藏高原植被影响研究综述[J]. 生态学杂志,2009,28(4):747-754
[21] 冉有华,王磊,曾甜,等. "一带一路"亚洲关键区域流域边界图[DB/OL]. http://data.tpdc.ac.cn/zh-hans/,2021-04-19/2022-06-17
[22] MU Q Z,HEINSCH F A,ZHAO M S,et al. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data[J]. Remote sensing of Environment,2007,111(4):519-536
[23] 吴桂平,刘元波,赵晓松,等.基于MOD16产品的鄱阳湖流域地表蒸散量时空分布特征[J].地理研究,2013,32(4):617-627
[24] 贺添,邵全琴. 基于MOD16产品的我国2001-2010年蒸散发时空格局变化分析[J]. 地球信息科学学报,2014,16(6):979-988
[25] 安淳淳. 基于MODIS数据的青藏高原植被物候监测及其对气候变化的响应研究[D].成都:中国科学院大学(中国科学院水利部成都山地灾害与环境研究所),2019:91-97
[26] 高清竹,万运帆,李玉娥,等. 藏北高寒草地NPP变化趋势及其对人类活动的响应[J]. 生态学报,2007,27(11):4612-4619
[27] JI Z X,PEI T T,CHEN Y,et al. The driving factors of grassland water use efficiency along degradation gradients on the Qinghai-Tibet Plateau,China[J]. Global Ecology and Conservation,2022(35):e02090
[28] TIAN F,ZHANG Y. Spatiotemporal patterns of evapotranspiration,gross primary productivity,and water use efficiency of cropland in agroecosystems and their relation to the water-saving project in the Shiyang River Basin of Northwestern China[J]. Computers and Electronics in Agriculture,2020(172):105379
[29] SANDHOLT I,RASMUSSEN K,ANDERSEN J. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status[J]. Remote Sensing of Environment,2002(79):213-224
[30] SÁNCHEZ GRANERO M A,TRINIDAD SEGVIA J E,GARCÍA PÉREZ J. Some comments on Hurst exponent and the long memory processes on capital markets[J]. Physica A Statistical Mechanics & Its Applications,2008,387(22):5543-5551
[31] BING L,SU H,SHAO Q,et al. Changing characteristic of land surface evapotranspiration and soil moisture in China during the past 30 years[J]. Geo-information Science,2012,14(1):1-13
[32] LI X,HE Y,ZENG Z,et al. Spatiotemporal pattern of terrestrial evapotranspiration in China during the past thirty years[J]. Agricultural and Forest Meteorology,2018(259):131-140
[33] ZENG Z,PENG L,PIAO S. Response of terrestrial evapotranspiration to Earth's greening[J]. Current Opinion in Environmental Sustainability,2018(33):9-25
[34] LU F,HU H,SUN W,et al. Effects of national ecological restoration projects on carbon sequestration in China from 2001 to 2010[J]. Proceedings of the National Academy of Sciences of the United States of America,2018,115(16):4039-4044
[35] OUYANG Z,HUA Z,YANG X,et al. Improvements in ecosystem services from investments in natural capital[J]. Science,2016,352(6292):1455-1459
[36] 裴婷婷,李小雁,吴华武,等.黄土高原植被水分利用效率对气候和植被指数的敏感性研究[J]. 农业工程学报,2019,35(5):119-125，319
[37] 张永强,孔冬冬,张选泽,等. 2003—2017年植被变化对全球陆面蒸散发的影响[J]. 地理学报,2021,76(3):584-594
[38] LI X,WANG L,CHEN D,et al. Seasonal evapotranspiration changes (1983—2006) of four large basins on the Tibetan Plateau[J]. Journal of Geophysical Research Atmospheres,2015,119(23):13,079-13,095
[39] 夏龙,宋小宁,蔡硕豪,等.地表水热要素在青藏高原草地退化中的作用[J]. 生态学报,2021,41(11):4618-4631
[40] WANG H W,QI Y,HUANG C L. Analysis of vegetation changes and dominant factors on the Qinghai-Tibet Plateau,China[J]. Sciences in Cold and Arid Regions,2019,11(2):62-70
[41] 张骞,马丽,张中华,等.青藏高寒区退化草地生态恢复:退化现状、恢复措施、效应与展望[J]. 生态学报,2019,39(20):7441-7451
[42] 李霞,崔霞,何晓菲,等.柴达木盆地水源涵养功能时空特征分析[J]. 草业科学,2022,39(4):660-671
[43] 涂晨雨,贾绍凤,朱文彬,等. 柴达木盆地蒸散发遥感估算与耗水有效性评价研究[J]. 生态学报,2022,42(13):5404-5415
[44] 刘秋漫. 近年来柴达木盆地遥感生态环境质量评价[D].西宁:青海师范大学,2020:47-48

青藏高原不同退化梯度下植被蒸散发的时空格局研究

Spatial and Temporal Patterns of Vegetation Evapotranspiration under Different Degradation Gradients in the Qinghai-Tibet Plateau

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