Assessing the Temporal Response of Tropical Dry Forests to Meteorological Drought
文献类型：期刊论文
| 作者 | Zou, Lidong3,4; Cao, Sen1,3,5,6,7; Zhao, Anzhou2,4; Sanchez-Azofeifa, Arturo3 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2020-07-01 |
| 卷号 | 12期号:14页码:14 |
| 关键词 | meteorological drought tropical dry forests NDVI LST |
| DOI | 10.3390/rs12142341 |
| 通讯作者 | Sanchez-Azofeifa, Arturo(gasanche@ualberta.ca) |
| 英文摘要 | Due to excessive human disturbances, as well as predicted changes in precipitation regimes, tropical dry forests (TDFs) are susceptible to meteorological droughts. Here, we explored the response of TDFs to meteorological drought by conducting temporal correlations between the MODIS-derived normalized difference vegetation index (NDVI) and land surface temperature (LST) to a standardized precipitation index (SPI) between March 2000 and March 2017 at the Santa Rosa National Park Environmental Monitoring Super Site (SRNP-EMSS), Guanacaste, Costa Rica. We conducted this study using monthly and seasonal scales. Our results indicate that the NDVI and LST are largely influenced by seasonality, as well as the magnitude, duration, and timing of precipitation. We find that greenness and evapotranspiration are highly sensitive to precipitation when TDFs suffer from long-term water deficiency, and they tend to be slightly resistant to meteorological drought in the wet season. Greenness is more resistant to short-term rainfall deficiency than evapotranspiration, but greenness is more sensitive to precipitation after a period of rainfall deficiency. Precipitation can still strongly influence evapotranspiration on the canopy surface, but greenness is not controlled by the rainfall, but rather phenological characteristics when leaves begin to senesce. |
| WOS关键词 | GREAT-PLAINS ; VEGETATION ; TEMPERATURE ; INDEX ; CLIMATE ; PRECIPITATION ; MANAGEMENT ; UTILITY |
| 资助项目 | Special Foundation for National Science and Technology Basic Research Program of China[2019FY202503] ; State Key Laboratory of Resources and Environmental Information System, Program of Education Department of Hebei Province, China[BJ2018043] |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000554308500001 |
| 出版者 | MDPI |
| 资助机构 | Special Foundation for National Science and Technology Basic Research Program of China ; State Key Laboratory of Resources and Environmental Information System, Program of Education Department of Hebei Province, China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/158238]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Sanchez-Azofeifa, Arturo |
| 作者单位 | 1.Shenzhen Univ, Shenzhen Key Lab Spatial Smart Sensing & Serv, Shenzhen 518060, Peoples R China 2.Hebei Univ Engn, Coll Min & Geomat, Handan 056038, Peoples R China 3.Univ Alberta, Dept Earth & Atmospher Sci, Edmonton, AB T6G 2E3, Canada 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 5.Shenzhen Univ, Key Lab Geoenvironm Monitoring Coastal Zone, Minist Nat Resources, Shenzhen 518060, Peoples R China 6.Shenzhen Univ, Guangdong Key Lab Urban Informat, Shenzhen 518060, Peoples R China 7.Shenzhen Univ, Res Inst Smart Cities, Shenzhen 518060, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zou, Lidong,Cao, Sen,Zhao, Anzhou,et al. Assessing the Temporal Response of Tropical Dry Forests to Meteorological Drought[J]. REMOTE SENSING,2020,12(14):14. |
| APA | Zou, Lidong,Cao, Sen,Zhao, Anzhou,&Sanchez-Azofeifa, Arturo.(2020).Assessing the Temporal Response of Tropical Dry Forests to Meteorological Drought.REMOTE SENSING,12(14),14. |
| MLA | Zou, Lidong,et al."Assessing the Temporal Response of Tropical Dry Forests to Meteorological Drought".REMOTE SENSING 12.14(2020):14. |
入库方式： OAI收割
来源：地理科学与资源研究所
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