Arid
DOI10.1002/hyp.13772
Vegetation-groundwater dynamics at a former uranium mill site following invasion of a biocontrol agent: A time series analysis of Landsat normalized difference vegetation index data
Jarchow, Christopher J.; Waugh, William J.; Didan, Kamel; Barreto-Munoz, Armando; Herrmann, Stefanie; Nagler, Pamela L.
通讯作者Jarchow, CJ
来源期刊HYDROLOGICAL PROCESSES
ISSN0885-6087
EISSN1099-1085
出版年2020
卷号34期号:12页码:2739-2749
英文摘要Because groundwater recharge in dry regions is generally low, arid and semiarid environments have been considered well-suited for long-term isolation of hazardous materials (e.g., radioactive waste). In these dry regions, water lost (transpired) by plants and evaporated from the soil surface, collectively termed evapotranspiration (ET), is usually the primary discharge component in the water balance. Therefore, vegetation can potentially affect groundwater flow and contaminant transport at waste disposal sites. We studied vegetation health and ET dynamics at a Uranium Mill Tailings Radiation Control Act (UMTRCA) disposal site in Shiprock, New Mexico, where a floodplain alluvial aquifer was contaminated by mill effluent. Vegetation on the floodplain was predominantly deep-rooted, non-native tamarisk shrubs (Tamarix sp.). After the introduction of the tamarisk beetle (Diorhabda sp.) as a biocontrol agent, the health of the invasive tamarisk on the Shiprock floodplain declined. We used Landsat normalized difference vegetation index (NDVI) data to measure greenness and a remote sensing algorithm to estimate landscape-scale ET along the floodplain of the UMTRCA site in Shiprock prior to (2000-2009) and after (2010-2018) beetle establishment. Using groundwater level data collected from 2011 to 2014, we also assessed the role of ET in explaining seasonal variations in depth to water of the floodplain. Growing season scaled NDVI decreased 30% (p <.001), while ET decreased 26% from the pre- to post-beetle period and seasonal ET estimates were significantly correlated with groundwater levels from 2011 to 2014 (r(2) =.71; p =.009). Tamarisk greenness (a proxy for health) was significantly affected by Diorhabda but has partially recovered since 2012. Despite this, increased ET demand in the summer/fall period might reduce contaminant transport to the San Juan River during this period.
英文关键词evapotranspiration groundwater Landsat NDVI remote sensing tamarisk tamarisk beetle UMTRCA
类型Article
语种英语
开放获取类型Bronze, Green Published
收录类别SCI-E
WOS记录号WOS:000529152700001
WOS关键词NORTHERN TAMARISK BEETLE ; DIORHABDA-CARINULATA ; EVAPOTRANSPIRATION ; DEFOLIATION ; WATER ; NDVI ; PATTERNS
WOS类目Water Resources
WOS研究方向Water Resources
来源机构University of Arizona ; United States Geological Survey
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/324371
作者单位[Jarchow, Christopher J.; Waugh, William J.] Navarro Res & Engn Inc, Appl Studies & Technol, 2597 Legacy Way, Grand Junction, CO 81503 USA; [Jarchow, Christopher J.; Didan, Kamel; Barreto-Munoz, Armando] Univ Arizona, Biosyst Engn, Tucson, AZ USA; [Herrmann, Stefanie] Univ Arizona, Sch Nat Resources & Environm, Tucson, AZ USA; [Nagler, Pamela L.] US Geol Survey, Southwest Biol Sci Ctr, Tucson, AZ USA
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Jarchow, Christopher J.,Waugh, William J.,Didan, Kamel,et al. Vegetation-groundwater dynamics at a former uranium mill site following invasion of a biocontrol agent: A time series analysis of Landsat normalized difference vegetation index data[J]. University of Arizona, United States Geological Survey,2020,34(12):2739-2749.
APA Jarchow, Christopher J.,Waugh, William J.,Didan, Kamel,Barreto-Munoz, Armando,Herrmann, Stefanie,&Nagler, Pamela L..(2020).Vegetation-groundwater dynamics at a former uranium mill site following invasion of a biocontrol agent: A time series analysis of Landsat normalized difference vegetation index data.HYDROLOGICAL PROCESSES,34(12),2739-2749.
MLA Jarchow, Christopher J.,et al."Vegetation-groundwater dynamics at a former uranium mill site following invasion of a biocontrol agent: A time series analysis of Landsat normalized difference vegetation index data".HYDROLOGICAL PROCESSES 34.12(2020):2739-2749.
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