• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于核温度植被干旱指数(kTVDI)的内蒙古植被生长季生态干旱监测。

Ecological drought monitoring of Inner Mongolia vegetation growing season based on kernel temperature vegetation drought index (kTVDI).

机构信息

College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China.

Inner Mongolia Key Laboratory of Disaster and Ecological Security on the Mongolian Plateau, Hohhot 010022, China.

出版信息

Ying Yong Sheng Tai Xue Bao. 2023 Nov;34(11):2929-2937. doi: 10.13287/j.1001-9332.202311.024.

DOI:10.13287/j.1001-9332.202311.024
PMID:37997403
Abstract

Ecological drought monitoring is important for regional status assessment and protection of water resources. In this study, we constructed a new ecological drought index, the kernel temperature vegetation drought index (kTVDI), by using the kernel normalized vegetation index (kNDVI) to improve the temperature vegetation drought index (TVDI) in Inner Mongolia. We further analyzed the spatial and temporal distribution of ecological drought in Inner Mongolia during 2000-2022 and the future trend of ecological drought by using segmented linear regression model, Theil-Sen median, Mann-Kendall test, and Hurst index. The results showed that kTVDI performed better in monitoring ecological drought than TVDI. From 2000 to 2022, kTVDI showed a decreasing trend in the growing season in Inner Mongolia, but the change was not significant, and a sudden change occurred in 2016, and the wetting trend after the sudden change was more obvious. During the study period, ecological drought in 23.6% of the areas of Inner Mongolia showed an aggravating trend, and ecological drought was alleviated in 46.5% of the area. In the future, ecological drought would be exacerbated in the eastern part but alleviated in the central and western parts of Inner Mongolia.

摘要

生态干旱监测对区域状况评估和水资源保护至关重要。本研究通过利用核标准化植被指数(kNDVI)改进温度植被干旱指数(TVDI),构建了一种新的生态干旱指数——核温度植被干旱指数(kTVDI),并进一步分析了 2000-2022 年内蒙古生态干旱的时空分布及未来趋势,采用分段线性回归模型、Theil-Sen 中位数、Mann-Kendall 检验和赫斯特指数。结果表明,kTVDI 比 TVDI 更能有效地监测生态干旱。2000-2022 年,内蒙古生长季的 kTVDI 呈下降趋势,但变化不显著,2016 年发生突变,突变后增湿趋势更为明显。研究期间,内蒙古 23.6%的地区生态干旱呈加重趋势,46.5%的地区生态干旱得到缓解。未来,内蒙古东部地区的生态干旱将加剧,而中部和西部地区的生态干旱将得到缓解。

相似文献

1
Ecological drought monitoring of Inner Mongolia vegetation growing season based on kernel temperature vegetation drought index (kTVDI).基于核温度植被干旱指数(kTVDI)的内蒙古植被生长季生态干旱监测。
Ying Yong Sheng Tai Xue Bao. 2023 Nov;34(11):2929-2937. doi: 10.13287/j.1001-9332.202311.024.
2
Application of temperature vegetation dryness index for drought monitoring in Mongolian Plateau.温度植被干旱指数在蒙古高原干旱监测中的应用
Ying Yong Sheng Tai Xue Bao. 2021 Jul;32(7):2534-2544. doi: 10.13287/j.1001-9332.202107.018.
3
Spatial-Temporal Evolution and Driving Forces of Drying Trends on the Qinghai-Tibet Plateau Based on Geomorphological Division.基于地貌划分的青藏高原干燥趋势的时空演变及驱动因素。
Int J Environ Res Public Health. 2022 Jun 28;19(13):7909. doi: 10.3390/ijerph19137909.
4
Monitoring drought events and vegetation dynamics in relation to climate change over mainland China from 1983 to 2016.监测中国大陆 1983 年至 2016 年期间与气候变化有关的干旱事件和植被动态。
Environ Sci Pollut Res Int. 2021 May;28(17):21910-21925. doi: 10.1007/s11356-020-12146-4. Epub 2021 Jan 7.
5
[Variation in the vegetation fade stage and its relationships with climate and vegetation productivity in Inner Mongolia, China].[中国内蒙古植被衰退阶段的变化及其与气候和植被生产力的关系]
Ying Yong Sheng Tai Xue Bao. 2020 Jun;31(6):1898-1908. doi: 10.13287/j.1001-9332.202006.019.
6
Study loss of vegetative cover and increased land surface temperature through remote sensing strategies under the inter-annual climate variability in Jinhua-Quzhou basin, China.通过遥感策略研究中国金华-衢州盆地年际气候变化下的植被覆盖损失和地表温度升高。
Environ Sci Pollut Res Int. 2024 Apr;31(20):28950-28966. doi: 10.1007/s11356-024-33112-4. Epub 2024 Apr 2.
7
Remote sensing strategies to characterization of drought, vegetation dynamics in relation to climate change from 1983 to 2016 in Tibet and Xinjiang Province, China.中国西藏和新疆地区 1983 年至 2016 年干旱特征及气候变化下植被动态的遥感监测策略。
Environ Sci Pollut Res Int. 2021 May;28(17):21085-21100. doi: 10.1007/s11356-020-12124-w. Epub 2021 Jan 6.
8
Analysis of 22-year Drought Characteristics in Heilongjiang Province Based on Temperature Vegetation Drought Index.基于温度植被干旱指数的黑龙江省 22 年干旱特征分析。
Comput Intell Neurosci. 2022 Apr 28;2022:1003243. doi: 10.1155/2022/1003243. eCollection 2022.
9
[Spatial-temporal variations of vegetation coverage and its driving force in Inner Mongolia grassland, China].[中国内蒙古草原植被覆盖度的时空变化及其驱动力]
Ying Yong Sheng Tai Xue Bao. 2023 Oct;34(10):2713-2722. doi: 10.13287/j.1001-9332.202310.005.
10
A comprehensive drought monitoring method integrating multi-source data.一种集成多源数据的综合干旱监测方法。
PeerJ. 2022 Jul 5;10:e13560. doi: 10.7717/peerj.13560. eCollection 2022.