内蒙古地区干旱时空变化特征及其对植被的影响

马梓策; 孙鹏; 姚蕊; 吕胤锋; 邹逸凡

doi:10.13870/j.cnki.stbcxb.2022.06.029

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内蒙古地区干旱时空变化特征及其对植被的影响

更新时间：2025-03-12

- 内蒙古地区干旱时空变化特征及其对植被的影响
- Temporal and Spatial Variation of Drought and Its Impact on Vegetation in Inner Mongolia
- 水土保持学报 2022年36卷第6期页码：231-240
- 作者机构：
  
  1. 安徽师范大学地理与旅游学院,安徽,芜湖,241002
  2. 北京师范大学环境演变与自然灾害教育部重点实验室,北京,100875
  3. 北京师范大学地表过程与资源生态国家重点实验室,北京,100875
  4. 南京师范大学虚拟地理环境教育部重点实验室,南京,210023
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目(42271037);安徽省自然科学基金优青项目(2108085Y13);安徽省重点研究与开发计划项目(2022m07020011);安徽高校协同创新项目(GXXT-2021-048);安徽省科技重大专项(202003a06020002);安徽省高校自然科学研究项目(YJS20210131)
- DOI：10.13870/j.cnki.stbcxb.2022.06.029
  中图分类号： P46
- 纸质出版：2022
- 稿件说明：
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马梓策, 孙鹏, 姚蕊, 等. 内蒙古地区干旱时空变化特征及其对植被的影响[J]. 水土保持学报, 2022,36(6):231-240.

MA Zice, SUN Peng, YAO Rui, et al. Temporal and Spatial Variation of Drought and Its Impact on Vegetation in Inner Mongolia[J]. 2022, 36(6): 231-240.
马梓策, 孙鹏, 姚蕊, 等. 内蒙古地区干旱时空变化特征及其对植被的影响[J]. 水土保持学报, 2022,36(6):231-240. DOI： 10.13870/j.cnki.stbcxb.2022.06.029.

MA Zice, SUN Peng, YAO Rui, et al. Temporal and Spatial Variation of Drought and Its Impact on Vegetation in Inner Mongolia[J]. 2022, 36(6): 231-240. DOI： 10.13870/j.cnki.stbcxb.2022.06.029.

摘要

基于MODIS实际蒸散量(ET)和潜在蒸散量(PET)产品反演作物缺水指数(CWSI)

采用多种统计方法研究干旱时空变化特征及其对植被生长的影响。结果表明:多年平均干旱程度由西南向东北逐渐递减

农作物主要以轻旱和中旱为主

草原主要以中旱和重旱为主

荒漠主要以重旱为主;除针叶林和沼泽外

其他植被类型旱情缓解;干旱年内变化特征呈双峰型曲线

且在Day113~Day144干旱最为严重

表现为重旱;各植被类型年内变化特征与全区变化趋势相一致

均呈双峰型曲线;夏旱对植被生长的胁迫作用最强

而年平均干旱强度对植被生长的胁迫作用主要由夏旱主导;春季灌丛、夏季和秋季农作物对干旱的响应较为敏感。研究结果可为内蒙古植物群落的生态预警和生态修复提供理论参考。

Abstract

Inversion of Crop Water Stress Index (CWSI) was conducted based on the evapotranspiration (ET) and potential evapotranspiration (PET) of MODIS. Temporal and spatial variation of drought and its impact on vegetation were analyzed through a variety of statistical methods. The results showed that the annual average drought severity gradually decreased from southwest to northeast

the crops were mainly light and moderate drought

the grassland was mainly medium and heavy drought

and the desert was mainly severe drought. In addition

except coniferous forest and swamp

the drought tendency of other vegetation types was eased. The variation characteristics of annual drought showed a bimodal curve

and the severe drought occurred in 113 to 144 days. The annual variation characteristics of drought severity for each vegetation type were consistent with the change trend of the whole region

showing a bimodal curve. The impact of summer drought on vegetation growth was the strongest

and the stress effect of annual average drought intensity on vegetation growth was mainly dominated by summer drought. For different vegetation types

shrub in spring

crops in summer and autumn were more sensitive to drought. The results could provide theoretical reference for ecological early warning and ecological restoration of plant communities in Inner Mongolia.

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references

Gao X R, Zhao Q, Zhao X N, et al. Temporal and spatial evolution of the standardized precipitation evapotranspiration index (SPEI) in the Loess Plateau under climate change from 2001 to 2050[J].Science of the Total Environment,2017,595:191-200.

Tfwala C M, Van Rensburg L D, Schall R, et al. Drought dynamics and interannual rainfall variability on the Ghaap plateau, South Africa, 1918—2014[J]. Physics and Chemistry of the Earth,2018,107:1-7.

Samuel J S, Henny A J V L. Hydrological drought characteristics based on groundwater and runoff across Europe[J].Proceedings of the International Association of Hydrological Sciences,2020,383:281-290.

Zhang Y H, Ling F, Foody G M, et al. Mapping annual forest cover by fusing PALSAR/PALSAR-2 and MODIS NDVI during 2007—2016[J].Remote Sensing of Environment,2019,224:74-91.

Song Z J, Fu D S, Zhang X L, et al. MODIS AOD sampling rate and its effect on PM

2.5

estimation in North China[J].Atmospheric Environment,2019,209:14-22.

佟斯琴,张继权,哈斯马,等.基于MOD16的锡林郭勒草原14年蒸散发时空分布特征[J].中国草地学报,2016,38(4):83-91.

张静,任志远.基于MOD16的汉江流域地表蒸散发时空特征[J].地理科学,2017,37(2):274-282.

黄静,张运,汪明秀,等.近17年新疆干旱时空分布特征及影响因素[J].生态学报,2020,40(3):1077-1088.

程伟,辛晓平.基于TVDI的内蒙古草地干旱变化特征分析[J].中国农业科学,2020,53(13):2728-2742.

杨玲,杨艳昭.基于TVDI的西辽河流域土壤湿度时空格局及其影响因素[J].干旱区资源与环境,2016,30(2):76-81.

Kamble D B, Gautam S, Bisht H, et al. Drought assessment for kharif rice using standardized precipitation index (SPI) and vegetation condition index (VCI)[J].Journal of Agrometeorology,2019,21(2):182-187.

Li Z Y, Han Y, Hao T Y. Assessing the consistency of remotely sensed multiple drought indices for monitoring drought phenomena in continental China[J].IEEE Transactions on Geoence and Remote Sensing,2020,99:1-13.

汪左,王芳,张运.基于CWSI的安徽省干旱时空特征及影响因素分析[J].自然资源学报,2018,33(5):853-866.

Zormand S, Jafari R, Koupaei S S. Assessment of PDI, MPDI and TVDI drought indices derived from MODIS Aqua/Terra Level 1B data in natural lands[J].Natural Hazards,2017,86(2):757-777.

聂艳,马泽玥,周逍峰,等.阿克苏河流域土壤湿度反演与监测研究[J].生态学报,2019,39(14):5138-5148.

杨涛,宫辉力,李小娟,等.土壤水分遥感监测研究进展[J].生态学报,2010,30(22):6264-6277.

田国珍,武永利,梁亚春,等.基于蒸散发的干旱监测及时效性分析[J].干旱区地理,2016,39(4):721-729.

Mu Q, Heinsch F A, Zhao M, et al. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data[J].Remote Sensing of Environment,2007,111:519-536.

Mu Q, Zhao M, Running S W. Improvements to a MODIS global terrestrial evapotranspiration algorithm[J].Remote Sensing of Environment,2011,115(8):1781-1800.

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.

Liaqat U W, Choi M. Accuracy comparison of remotely sensed evapotranspiration products and their associated water stress footprints under different land cover types in Korean peninsula[J].Journal of Cleaner Production,2016,155(1):93-104.

Zhang T, Peng J, Liang W, et al. Spatial-temporal patterns of water use efficiency and climate controls in China’s Loess Plateau during 2000—2010[J].Science of the Total Environment,2016,565:105-122.

Zolotokrylin A N, Titkova T B, Luis Brito-Castillo. Wet and dry patterns associated with ENSO events in the Sonoran Desert from, 2000—2015[J].Journal of Arid Environments,2016,134:21-32.

Bai J J, YU Y, Di L P. Comparison between TVDI and CWSI for drought monitoring in the Guanzhong Plain, China[J].Journal of Integrative Agriculture,2017,16(2):389-397.

张巧凤,刘桂香,于红博,等.锡林郭勒草原土壤含水量遥感反演模型及干旱监测[J].草业学报,2017,26(11):1-11.

李虹雨,马龙,刘廷玺,等.1951—2014年内蒙古地区气温、降水变化及其关系[J].冰川冻土,2017,39(5):1098-1112.

Jackson R, Idso S, Reginato R, et al. Canopy temperature as a crop water stress indicator[J].Water Resources Research,1981,17(4):1133-1138.

Jackson R, Kustas W, Choudhury B. A reexamination of the crop water stress index[J].Irrigation Science,1988,9(4):309-317.

Hurst H E. Long-term storage capacity of reservoirs[J].Transactions of the American Society of Civil Engineers,1951,116(1):770-799.

张强,邹旭恺,肖风劲,等.GB/T 20481—2017 气象干旱等级[M].北京:中国标准出版社,2017.

阿迪来·乌甫,玉素甫江·如素力,热伊莱·卡得尔,等.基于MODIS数据的新疆地表蒸散量时空分布及变化趋势分析[J].地理研究,2017,36(7):1245-1256.

赵舒怡,宫兆宁,刘旭颖.2001—2013年华北地区植被覆盖度与干旱条件的相关分析[J].地理学报,2015,70(5):717-729.

张翔,朱晓昱,沈贝贝,等.呼伦贝尔植被蒸散发时空变化研究[J].中国农业资源与区划,2020,41(4):308-316.

张煦庭,潘学标,徐琳,等.基于降水蒸发指数的1960—2015年内蒙古干旱时空特征[J].农业工程学报,2017,33(15):190-199.

刘继遥,春喜,梁文军,等.基于SPI指数的内蒙古干旱时空分布特征研究[J].内蒙古师范大学学报(自然科学汉文版),2016,45(4):533-539.

崔俊杰,白洁,郑磊,等.新疆地区遥感、融合和陆面模式模拟的蒸散产品的不确定性分析[J].干旱区研究,2018,35(3):597-605.

黄文琳,张强,孔冬冬,等.1982—2013年内蒙古地区植被物候对干旱变化的响应[J].生态学报,2019,39(13):4953-4965.

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