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DOI10.1007/s12237-017-0287-1
Quantifying Seagrass Light Requirements Using an Algorithm to Spatially Resolve Depth of Colonization
Beck, Marcus W.1; Hagy, James D., III1; Le, Chengfeng2,3
发表日期2018-03-01
ISSN1559-2723
卷号41期号:2页码:592-610
英文摘要

Depth of colonization (Z (c)) is a useful seagrass growth metric that describes seagrass response to light availability. Similarly, percent surface irradiance at Z (c) (% SI) is an indicator of seagrass light requirements with applications in seagrass ecology and management. Methods for estimating Z (c) and % SI are highly variable making meaningful comparisons difficult. A new algorithm is presented to compute maps of median and maximum Z (c), Z (c,med), and Z (c,max), respectively, for four Florida coastal areas (Big Bend, Tampa Bay, Choctawhatchee Bay, Indian River Lagoon). Maps of light attenuation (K (d)) based on MODIS satellite imagery, PAR profiles, and Secchi depth measurements were combined with seagrass growth estimates to produce maps of % SI at Z (c,med) and Z (c,max). Among estuary segments, mean Z (c,med) varied from (+/- SE) 0.80 +/- 0.13 m for Old Tampa Bay to 2.33 +/- 0.26 m for Western Choctawhatchee Bay. Standard errors for Z (c,med) were 1-10% of the segment means. Percent SI at Z (c,med) averaged 18% for Indian River Lagoon (range = 9-24%), 42% for Tampa Bay (37-48%), and 58% for Choctawhatchee Bay (51-75%). Estimates of % SI were significantly lower in Indian River Lagoon than in the other estuaries, while estimates for Tampa Bay and Choctawhatchee Bay were higher than the often cited estimate of 20%. Spatial gradients in depth of colonization and % SI were apparent in all estuaries. The analytical approach could be applied easily to new data from these estuaries or to other estuaries and could be incorporated routinely in assessments of seagrass status and condition.


英文关键词Seagrass;Depth of colonization;Light requirements;Remote sensing
语种英语
WOS记录号WOS:000423581200021
来源期刊ESTUARIES AND COASTS
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/58918
作者单位1.US EPA, Natl Hlth & Environm Effects Res Lab, Gulf Ecol Div, 1 Sabine Isl Dr, Gulf Breeze, FL 32561 USA;
2.US EPA, ORISE Res Participat Program, Natl Hlth & Environm Effects Res Lab, Gulf Ecol Div, 1 Sabine Isl Dr, Gulf Breeze, FL 32561 USA;
3.Zhejiang Univ, Ocean Coll, Zhoushan, Peoples R China
推荐引用方式
GB/T 7714
Beck, Marcus W.,Hagy, James D., III,Le, Chengfeng. Quantifying Seagrass Light Requirements Using an Algorithm to Spatially Resolve Depth of Colonization[J]. 美国环保署,2018,41(2):592-610.
APA Beck, Marcus W.,Hagy, James D., III,&Le, Chengfeng.(2018).Quantifying Seagrass Light Requirements Using an Algorithm to Spatially Resolve Depth of Colonization.ESTUARIES AND COASTS,41(2),592-610.
MLA Beck, Marcus W.,et al."Quantifying Seagrass Light Requirements Using an Algorithm to Spatially Resolve Depth of Colonization".ESTUARIES AND COASTS 41.2(2018):592-610.
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