Near‐continuous monitoring of a coastal salt marsh margin: Implications for predicting marsh edge erosion
Mechanisms that control marsh edge erosion include wind‐generated waves, vegetation productivity, land use and land change, and geotechnical properties of sediments. However, existing models for predicting marsh edge evolution focus primarily on edge retreat rates as a function of wave energy while...
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description | Mechanisms that control marsh edge erosion include wind‐generated waves, vegetation productivity, land use and land change, and geotechnical properties of sediments. However, existing models for predicting marsh edge evolution focus primarily on edge retreat rates as a function of wave energy while accounting for other controlling factors as empirical constants. This simplification arises from a lack of high‐frequency monitoring of marsh evolutions. In particular, marsh erosion is timescale dependent, and conducting field observations on short temporal and spatial scales could elucidate the progression of erosion, which may improve marsh erosion predictive models. This study developed and validated a near‐continuous camera and erosion pin monitoring system to document marsh edge erosion at a high frequency (i.e., daily) in Terrebonne Bay, Louisiana. This was supplemented with daily wave power to explore the relationships between daily erosion and wave power. Long‐term average erosion rates derived from satellite and aerial imagery from 1989 through 2019 compare similarly to rates derived from longer‐term site visits (i.e., monthly) at approximately 2.2 m/yr. High‐magnitude erosion events (>20 cm/day) are driven by a buildup in wave energy over a 7‐day time period coupled with a strong 1‐day wave event, indicating a gradual reduction in marsh edge resistance with continued wave attack. Long‐term erosion monitoring methods, including monthly field visits, provide results that align well with previously reported relationships between wave power and erosion. High‐frequency measurements, however, illustrate that the previously published trends smooth over the large‐magnitude short‐term erosion events, potentially obscuring the physical processes of marsh edge erosion. For example, satellite and aerial imagery provide a long period of record, but they may underestimate the average annual erosion rate in the region, the effect of which may become exasperated over the varying temporal scales considered in coastal planning efforts across the USA and worldwide.
A near continuous marsh erosion monitoring system was deployed in a rapidly eroding salt marsh in coastal Louisiana. The system captured the progression of erosion in the vegetated and unvegetated layers over a long period of time. Averaged over long periods of time, the data compares favorably to previous empirical wave power and erosion relationships, but observed on the sub‐daily to daily time period, data |
doi_str_mv | 10.1002/esp.5554 |
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A near continuous marsh erosion monitoring system was deployed in a rapidly eroding salt marsh in coastal Louisiana. The system captured the progression of erosion in the vegetated and unvegetated layers over a long period of time. Averaged over long periods of time, the data compares favorably to previous empirical wave power and erosion relationships, but observed on the sub‐daily to daily time period, data is not well captured by existing relationships and shows that mechanisms of erosion are still poorly understood.</description><identifier>ISSN: 0197-9337</identifier><identifier>EISSN: 1096-9837</identifier><identifier>DOI: 10.1002/esp.5554</identifier><language>eng</language><publisher>Bognor Regis: Wiley Subscription Services, Inc</publisher><subject>Aerial photography ; Constants ; Daily ; Environmental monitoring ; erosion ; Erosion control ; erosion measurements ; Erosion mechanisms ; Erosion rates ; field data collection ; Frequency measurement ; High frequency ; Imagery ; Land use ; Louisiana ; marsh ; Monitoring ; Monitoring methods ; Monitoring systems ; Prediction models ; Salt marshes ; Saltmarshes ; Satellite imagery ; Satellites ; Sediments ; Soil properties ; Terrebonne Bay ; Vegetation ; Wave energy ; Wave erosion ; Wave power ; Wave resistance ; wetlands</subject><ispartof>Earth surface processes and landforms, 2023-06, Vol.48 (7), p.1362-1373</ispartof><rights>2023 John Wiley & Sons Ltd. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.</rights><rights>2023 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-a2774-c4170696f4c72823ce00e489e5d938e0e47790f9f535149e555261b2fbc526973</cites><orcidid>0000-0002-1200-8275</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fesp.5554$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fesp.5554$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>Cadigan, Jack A.</creatorcontrib><creatorcontrib>Jafari, Navid H.</creatorcontrib><creatorcontrib>Wang, Nan</creatorcontrib><creatorcontrib>Chen, Qin</creatorcontrib><creatorcontrib>Zhu, Ling</creatorcontrib><creatorcontrib>Harris, Brian D.</creatorcontrib><creatorcontrib>Ding, Yan</creatorcontrib><title>Near‐continuous monitoring of a coastal salt marsh margin: Implications for predicting marsh edge erosion</title><title>Earth surface processes and landforms</title><description>Mechanisms that control marsh edge erosion include wind‐generated waves, vegetation productivity, land use and land change, and geotechnical properties of sediments. However, existing models for predicting marsh edge evolution focus primarily on edge retreat rates as a function of wave energy while accounting for other controlling factors as empirical constants. This simplification arises from a lack of high‐frequency monitoring of marsh evolutions. In particular, marsh erosion is timescale dependent, and conducting field observations on short temporal and spatial scales could elucidate the progression of erosion, which may improve marsh erosion predictive models. This study developed and validated a near‐continuous camera and erosion pin monitoring system to document marsh edge erosion at a high frequency (i.e., daily) in Terrebonne Bay, Louisiana. This was supplemented with daily wave power to explore the relationships between daily erosion and wave power. Long‐term average erosion rates derived from satellite and aerial imagery from 1989 through 2019 compare similarly to rates derived from longer‐term site visits (i.e., monthly) at approximately 2.2 m/yr. High‐magnitude erosion events (>20 cm/day) are driven by a buildup in wave energy over a 7‐day time period coupled with a strong 1‐day wave event, indicating a gradual reduction in marsh edge resistance with continued wave attack. Long‐term erosion monitoring methods, including monthly field visits, provide results that align well with previously reported relationships between wave power and erosion. High‐frequency measurements, however, illustrate that the previously published trends smooth over the large‐magnitude short‐term erosion events, potentially obscuring the physical processes of marsh edge erosion. For example, satellite and aerial imagery provide a long period of record, but they may underestimate the average annual erosion rate in the region, the effect of which may become exasperated over the varying temporal scales considered in coastal planning efforts across the USA and worldwide.
A near continuous marsh erosion monitoring system was deployed in a rapidly eroding salt marsh in coastal Louisiana. The system captured the progression of erosion in the vegetated and unvegetated layers over a long period of time. Averaged over long periods of time, the data compares favorably to previous empirical wave power and erosion relationships, but observed on the sub‐daily to daily time period, data is not well captured by existing relationships and shows that mechanisms of erosion are still poorly understood.</description><subject>Aerial photography</subject><subject>Constants</subject><subject>Daily</subject><subject>Environmental monitoring</subject><subject>erosion</subject><subject>Erosion control</subject><subject>erosion measurements</subject><subject>Erosion mechanisms</subject><subject>Erosion rates</subject><subject>field data collection</subject><subject>Frequency measurement</subject><subject>High frequency</subject><subject>Imagery</subject><subject>Land use</subject><subject>Louisiana</subject><subject>marsh</subject><subject>Monitoring</subject><subject>Monitoring methods</subject><subject>Monitoring systems</subject><subject>Prediction models</subject><subject>Salt marshes</subject><subject>Saltmarshes</subject><subject>Satellite imagery</subject><subject>Satellites</subject><subject>Sediments</subject><subject>Soil properties</subject><subject>Terrebonne Bay</subject><subject>Vegetation</subject><subject>Wave energy</subject><subject>Wave erosion</subject><subject>Wave power</subject><subject>Wave resistance</subject><subject>wetlands</subject><issn>0197-9337</issn><issn>1096-9837</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp1kMFKAzEQhoMoWKvgIwS8eNma7CabjTcprRaKCuo5pGlSU7fJmuwivfkIPqNPYtb16mXmZ_hm5ucH4ByjCUYov9KxmVBKyQEYYcTLjFcFOwQjhDnLeFGwY3AS4xYhjEnFR-DtXsvw_fmlvGut63wX4c472_pg3QZ6AyVUXsZW1jDKuoU7GeJrXzfWXcPFrqmtkq31LkLjA2yCXlvV9rsDqdcbDXXwMSGn4MjIOuqzvz4GL_PZ8_QuWz7cLqY3y0zmjJFMEcxQyUtDFMurvFAaIZ3MarrmRaWTZowjww0tKCZpTGle4lVuVioJzooxuBjuNsG_dzq2Yuu74NJLke7REiFKSKIuB0oldzFoI5pgk-m9wEj0UYoUpeijTGg2oB-21vt_OTF7evzlfwAAu3YX</recordid><startdate>20230615</startdate><enddate>20230615</enddate><creator>Cadigan, Jack A.</creator><creator>Jafari, Navid H.</creator><creator>Wang, Nan</creator><creator>Chen, Qin</creator><creator>Zhu, Ling</creator><creator>Harris, Brian D.</creator><creator>Ding, Yan</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0002-1200-8275</orcidid></search><sort><creationdate>20230615</creationdate><title>Near‐continuous monitoring of a coastal salt marsh margin: Implications for predicting marsh edge erosion</title><author>Cadigan, Jack A. ; Jafari, Navid H. ; Wang, Nan ; Chen, Qin ; Zhu, Ling ; Harris, Brian D. ; Ding, Yan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a2774-c4170696f4c72823ce00e489e5d938e0e47790f9f535149e555261b2fbc526973</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Aerial photography</topic><topic>Constants</topic><topic>Daily</topic><topic>Environmental monitoring</topic><topic>erosion</topic><topic>Erosion control</topic><topic>erosion measurements</topic><topic>Erosion mechanisms</topic><topic>Erosion rates</topic><topic>field data collection</topic><topic>Frequency measurement</topic><topic>High frequency</topic><topic>Imagery</topic><topic>Land use</topic><topic>Louisiana</topic><topic>marsh</topic><topic>Monitoring</topic><topic>Monitoring methods</topic><topic>Monitoring systems</topic><topic>Prediction models</topic><topic>Salt marshes</topic><topic>Saltmarshes</topic><topic>Satellite imagery</topic><topic>Satellites</topic><topic>Sediments</topic><topic>Soil properties</topic><topic>Terrebonne Bay</topic><topic>Vegetation</topic><topic>Wave energy</topic><topic>Wave erosion</topic><topic>Wave power</topic><topic>Wave resistance</topic><topic>wetlands</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cadigan, Jack A.</creatorcontrib><creatorcontrib>Jafari, Navid H.</creatorcontrib><creatorcontrib>Wang, Nan</creatorcontrib><creatorcontrib>Chen, Qin</creatorcontrib><creatorcontrib>Zhu, Ling</creatorcontrib><creatorcontrib>Harris, Brian D.</creatorcontrib><creatorcontrib>Ding, Yan</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Earth surface processes and landforms</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cadigan, Jack A.</au><au>Jafari, Navid H.</au><au>Wang, Nan</au><au>Chen, Qin</au><au>Zhu, Ling</au><au>Harris, Brian D.</au><au>Ding, Yan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Near‐continuous monitoring of a coastal salt marsh margin: Implications for predicting marsh edge erosion</atitle><jtitle>Earth surface processes and landforms</jtitle><date>2023-06-15</date><risdate>2023</risdate><volume>48</volume><issue>7</issue><spage>1362</spage><epage>1373</epage><pages>1362-1373</pages><issn>0197-9337</issn><eissn>1096-9837</eissn><abstract>Mechanisms that control marsh edge erosion include wind‐generated waves, vegetation productivity, land use and land change, and geotechnical properties of sediments. However, existing models for predicting marsh edge evolution focus primarily on edge retreat rates as a function of wave energy while accounting for other controlling factors as empirical constants. This simplification arises from a lack of high‐frequency monitoring of marsh evolutions. In particular, marsh erosion is timescale dependent, and conducting field observations on short temporal and spatial scales could elucidate the progression of erosion, which may improve marsh erosion predictive models. This study developed and validated a near‐continuous camera and erosion pin monitoring system to document marsh edge erosion at a high frequency (i.e., daily) in Terrebonne Bay, Louisiana. This was supplemented with daily wave power to explore the relationships between daily erosion and wave power. Long‐term average erosion rates derived from satellite and aerial imagery from 1989 through 2019 compare similarly to rates derived from longer‐term site visits (i.e., monthly) at approximately 2.2 m/yr. High‐magnitude erosion events (>20 cm/day) are driven by a buildup in wave energy over a 7‐day time period coupled with a strong 1‐day wave event, indicating a gradual reduction in marsh edge resistance with continued wave attack. Long‐term erosion monitoring methods, including monthly field visits, provide results that align well with previously reported relationships between wave power and erosion. High‐frequency measurements, however, illustrate that the previously published trends smooth over the large‐magnitude short‐term erosion events, potentially obscuring the physical processes of marsh edge erosion. For example, satellite and aerial imagery provide a long period of record, but they may underestimate the average annual erosion rate in the region, the effect of which may become exasperated over the varying temporal scales considered in coastal planning efforts across the USA and worldwide.
A near continuous marsh erosion monitoring system was deployed in a rapidly eroding salt marsh in coastal Louisiana. The system captured the progression of erosion in the vegetated and unvegetated layers over a long period of time. Averaged over long periods of time, the data compares favorably to previous empirical wave power and erosion relationships, but observed on the sub‐daily to daily time period, data is not well captured by existing relationships and shows that mechanisms of erosion are still poorly understood.</abstract><cop>Bognor Regis</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/esp.5554</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-1200-8275</orcidid></addata></record> |
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subjects | Aerial photography Constants Daily Environmental monitoring erosion Erosion control erosion measurements Erosion mechanisms Erosion rates field data collection Frequency measurement High frequency Imagery Land use Louisiana marsh Monitoring Monitoring methods Monitoring systems Prediction models Salt marshes Saltmarshes Satellite imagery Satellites Sediments Soil properties Terrebonne Bay Vegetation Wave energy Wave erosion Wave power Wave resistance wetlands |
title | Near‐continuous monitoring of a coastal salt marsh margin: Implications for predicting marsh edge erosion |
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