Climate Change Data Portal
DOI | 10.1007/s11273-017-9554-y |
The influence of data characteristics on detecting wetland/stream surface-water connections in the Delmarva Peninsula, Maryland and Delaware | |
Vanderhoof, Melanie K.1; Distler, Hayley E.1; Lang, Megan W.2,3; Alexander, Laurie C.4 | |
发表日期 | 2018-02-01 |
ISSN | 0923-4861 |
卷号 | 26期号:1页码:63-86 |
英文摘要 | The dependence of downstream waters on upstream ecosystems necessitates an improved understanding of watershed-scale hydrological interactions including connections between wetlands and streams. An evaluation of such connections is challenging when, (1) accurate and complete datasets of wetland and stream locations are often not available and (2) natural variability in surface-water extent influences the frequency and duration of wetland/stream connectivity. The Upper Choptank River watershed on the Delmarva Peninsula in eastern Maryland and Delaware is dominated by a high density of small, forested wetlands. In this analysis, wetland/stream surface water connections were quantified using multiple wetland and stream datasets, including headwater streams and depressions mapped from a lidar-derived digital elevation model. Surface-water extent was mapped across the watershed for spring 2015 using Landsat-8, Radarsat-2 and Worldview-3 imagery. The frequency of wetland/stream connections increased as a more complete and accurate stream dataset was used and surface-water extent was included, in particular when the spatial resolution of the imagery was finer (i.e., < 10 m). Depending on the datasets used, 12-60% of wetlands by count (21-93% of wetlands by area) experienced surface-water interactions with streams during spring 2015. This translated into a range of 50-94% of the watershed contributing direct surface water runoff to streamflow. This finding suggests that our interpretation of the frequency and duration of wetland/stream connections will be influenced not only by the spatial and temporal characteristics of wetlands, streams and potential flowpaths, but also by the completeness, accuracy and resolution of input datasets. |
英文关键词 | Connectivity;Depressions;Forested wetlands;Headwater streams;Inundation;Lidar |
语种 | 英语 |
WOS记录号 | WOS:000427096100005 |
来源期刊 | WETLANDS ECOLOGY AND MANAGEMENT
![]() |
来源机构 | 美国环保署 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/60824 |
作者单位 | 1.US Geol Survey, Geosci & Environm Change Sci Ctr, DFC, POB 25046,MS980, Denver, CO 80225 USA; 2.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA; 3.US Fish & Wildlife Serv, Natl Wetland Inventory, Falls Church, VA 22041 USA; 4.US EPA, Off Res & Dev, Natl Ctr Environm Assessment, 1200 Penn Ave NW 8623 P, Washington, DC 20460 USA |
推荐引用方式 GB/T 7714 | Vanderhoof, Melanie K.,Distler, Hayley E.,Lang, Megan W.,et al. The influence of data characteristics on detecting wetland/stream surface-water connections in the Delmarva Peninsula, Maryland and Delaware[J]. 美国环保署,2018,26(1):63-86. |
APA | Vanderhoof, Melanie K.,Distler, Hayley E.,Lang, Megan W.,&Alexander, Laurie C..(2018).The influence of data characteristics on detecting wetland/stream surface-water connections in the Delmarva Peninsula, Maryland and Delaware.WETLANDS ECOLOGY AND MANAGEMENT,26(1),63-86. |
MLA | Vanderhoof, Melanie K.,et al."The influence of data characteristics on detecting wetland/stream surface-water connections in the Delmarva Peninsula, Maryland and Delaware".WETLANDS ECOLOGY AND MANAGEMENT 26.1(2018):63-86. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。