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Determining hydrological flow paths to enhance restoration in impaired mangrove wetlands
The restoration of mangroves has gained prominence in recent decades. Hydrological rehabilitation has been undertaken to connect impaired mangroves with the sea, lagoons or estuaries. Because mangrove hydrodynamics occurs on the surface and interstitial spaces in the sediment, we propose to determin...
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Published in: | PloS one 2020-01, Vol.15 (1), p.e0227665-e0227665 |
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description | The restoration of mangroves has gained prominence in recent decades. Hydrological rehabilitation has been undertaken to connect impaired mangroves with the sea, lagoons or estuaries. Because mangrove hydrodynamics occurs on the surface and interstitial spaces in the sediment, we propose to determine the hydrological flow paths to restore the hydrological regimes of the impaired mangroves. The hydrological flow paths were determined through a micro basin analysis based on microtopographic data to generate a digital elevation model. Applying this methodological approach, the hydrology of an impaired area on a barrier island in the Gulf of Mexico was restored by excavating, desilting or clearing the channels on the identified hydrological flow paths. This area was compared to one in which impaired mangroves were reconnected to the marine lagoon but disregarding the flow paths. Data collected in both areas were evaluated by flood level analysis, using two methods: (i) a simple linear regression model (SLRM) and (ii) spectral analysis (SA), also known as dominant frequency analysis. The results suggest that restoration based on the hydrological flow paths was more effective than the direct opening to the nearest main water body without accounting for the microtopography. In both areas, soil salinity and sulfides decreased after hydrological reconnection. However, a greater efficiency in the investment of time and human resources was achieved when preferential flow paths were identified and taken into account. The methodological procedures described in this study are of universal application to other mangrove restoration programs. |
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Hydrological rehabilitation has been undertaken to connect impaired mangroves with the sea, lagoons or estuaries. Because mangrove hydrodynamics occurs on the surface and interstitial spaces in the sediment, we propose to determine the hydrological flow paths to restore the hydrological regimes of the impaired mangroves. The hydrological flow paths were determined through a micro basin analysis based on microtopographic data to generate a digital elevation model. Applying this methodological approach, the hydrology of an impaired area on a barrier island in the Gulf of Mexico was restored by excavating, desilting or clearing the channels on the identified hydrological flow paths. This area was compared to one in which impaired mangroves were reconnected to the marine lagoon but disregarding the flow paths. Data collected in both areas were evaluated by flood level analysis, using two methods: (i) a simple linear regression model (SLRM) and (ii) spectral analysis (SA), also known as dominant frequency analysis. The results suggest that restoration based on the hydrological flow paths was more effective than the direct opening to the nearest main water body without accounting for the microtopography. In both areas, soil salinity and sulfides decreased after hydrological reconnection. However, a greater efficiency in the investment of time and human resources was achieved when preferential flow paths were identified and taken into account. The methodological procedures described in this study are of universal application to other mangrove restoration programs.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0227665</identifier><identifier>PMID: 31999717</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject><![CDATA[Analysis ; Barrier islands ; Biogeochemistry ; Biology and Life Sciences ; Climate change ; Climate Change - statistics & numerical data ; Computational fluid dynamics ; Connectivity ; Conservation of Natural Resources - methods ; Conservation of Natural Resources - statistics & numerical data ; Conservation of Water Resources - methods ; Conservation of Water Resources - statistics & numerical data ; Desilting ; Digital Elevation Models ; Earth Sciences ; Ecology and Environmental Sciences ; Ecosystems ; Environmental Monitoring - statistics & numerical data ; Environmental restoration ; Estuaries ; Flood level ; Flood levels ; Floods ; Floods - prevention & control ; Floods - statistics & numerical data ; Flow ; Flow (Dynamics) ; Flow paths ; Fluid dynamics ; Fluid flow ; Frequency analysis ; Gulf of Mexico ; Human resources ; Hydrodynamics ; Hydrologic data ; Hydrologic regime ; Hydrology ; Islands ; Lagoons ; Linear Models ; Mangroves ; Mexico ; Models, Theoretical ; Oxidation ; Physical Sciences ; Precipitation ; Preferential flow ; Regression analysis ; Regression models ; Rehabilitation ; Restoration ; Salinity ; Sediments ; Sediments (Geology) ; Soil ; Soil salinity ; Spectral analysis ; Spectrum analysis ; Sulfides ; Sulfur compounds ; Supervision ; Time ; Vegetation ; Water ; Water bodies ; Wetlands]]></subject><ispartof>PloS one, 2020-01, Vol.15 (1), p.e0227665-e0227665</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Pérez-Ceballos et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Pérez-Ceballos et al 2020 Pérez-Ceballos et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-8cb8562740f9258bb5cc8870990be4b5eb75871ad79261a3115a809f2152b8123</citedby><cites>FETCH-LOGICAL-c692t-8cb8562740f9258bb5cc8870990be4b5eb75871ad79261a3115a809f2152b8123</cites><orcidid>0000-0001-7473-2691</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2348788869/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2348788869?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31999717$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Nóbrega, Rodolfo</contributor><creatorcontrib>Pérez-Ceballos, Rosela</creatorcontrib><creatorcontrib>Zaldívar-Jiménez, Arturo</creatorcontrib><creatorcontrib>Canales-Delgadillo, Julio</creatorcontrib><creatorcontrib>López-Adame, Haydée</creatorcontrib><creatorcontrib>López-Portillo, Jorge</creatorcontrib><creatorcontrib>Merino-Ibarra, Martín</creatorcontrib><title>Determining hydrological flow paths to enhance restoration in impaired mangrove wetlands</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The restoration of mangroves has gained prominence in recent decades. Hydrological rehabilitation has been undertaken to connect impaired mangroves with the sea, lagoons or estuaries. Because mangrove hydrodynamics occurs on the surface and interstitial spaces in the sediment, we propose to determine the hydrological flow paths to restore the hydrological regimes of the impaired mangroves. The hydrological flow paths were determined through a micro basin analysis based on microtopographic data to generate a digital elevation model. Applying this methodological approach, the hydrology of an impaired area on a barrier island in the Gulf of Mexico was restored by excavating, desilting or clearing the channels on the identified hydrological flow paths. This area was compared to one in which impaired mangroves were reconnected to the marine lagoon but disregarding the flow paths. Data collected in both areas were evaluated by flood level analysis, using two methods: (i) a simple linear regression model (SLRM) and (ii) spectral analysis (SA), also known as dominant frequency analysis. The results suggest that restoration based on the hydrological flow paths was more effective than the direct opening to the nearest main water body without accounting for the microtopography. In both areas, soil salinity and sulfides decreased after hydrological reconnection. However, a greater efficiency in the investment of time and human resources was achieved when preferential flow paths were identified and taken into account. The methodological procedures described in this study are of universal application to other mangrove restoration programs.</description><subject>Analysis</subject><subject>Barrier islands</subject><subject>Biogeochemistry</subject><subject>Biology and Life Sciences</subject><subject>Climate change</subject><subject>Climate Change - statistics & numerical data</subject><subject>Computational fluid dynamics</subject><subject>Connectivity</subject><subject>Conservation of Natural Resources - methods</subject><subject>Conservation of Natural Resources - statistics & numerical data</subject><subject>Conservation of Water Resources - methods</subject><subject>Conservation of Water Resources - statistics & numerical data</subject><subject>Desilting</subject><subject>Digital Elevation Models</subject><subject>Earth Sciences</subject><subject>Ecology and Environmental Sciences</subject><subject>Ecosystems</subject><subject>Environmental Monitoring - statistics & numerical data</subject><subject>Environmental restoration</subject><subject>Estuaries</subject><subject>Flood level</subject><subject>Flood levels</subject><subject>Floods</subject><subject>Floods - prevention & control</subject><subject>Floods - statistics & numerical data</subject><subject>Flow</subject><subject>Flow (Dynamics)</subject><subject>Flow paths</subject><subject>Fluid dynamics</subject><subject>Fluid flow</subject><subject>Frequency analysis</subject><subject>Gulf of Mexico</subject><subject>Human resources</subject><subject>Hydrodynamics</subject><subject>Hydrologic data</subject><subject>Hydrologic regime</subject><subject>Hydrology</subject><subject>Islands</subject><subject>Lagoons</subject><subject>Linear Models</subject><subject>Mangroves</subject><subject>Mexico</subject><subject>Models, Theoretical</subject><subject>Oxidation</subject><subject>Physical Sciences</subject><subject>Precipitation</subject><subject>Preferential flow</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Rehabilitation</subject><subject>Restoration</subject><subject>Salinity</subject><subject>Sediments</subject><subject>Sediments (Geology)</subject><subject>Soil</subject><subject>Soil salinity</subject><subject>Spectral analysis</subject><subject>Spectrum analysis</subject><subject>Sulfides</subject><subject>Sulfur compounds</subject><subject>Supervision</subject><subject>Time</subject><subject>Vegetation</subject><subject>Water</subject><subject>Water 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hydrological flow paths to enhance restoration in impaired mangrove wetlands</title><author>Pérez-Ceballos, Rosela ; Zaldívar-Jiménez, Arturo ; Canales-Delgadillo, Julio ; López-Adame, Haydée ; López-Portillo, Jorge ; Merino-Ibarra, Martín</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-8cb8562740f9258bb5cc8870990be4b5eb75871ad79261a3115a809f2152b8123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Analysis</topic><topic>Barrier islands</topic><topic>Biogeochemistry</topic><topic>Biology and Life Sciences</topic><topic>Climate change</topic><topic>Climate Change - statistics & numerical data</topic><topic>Computational fluid dynamics</topic><topic>Connectivity</topic><topic>Conservation of Natural Resources - methods</topic><topic>Conservation of Natural Resources - statistics & numerical data</topic><topic>Conservation of Water Resources - 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Julio</au><au>López-Adame, Haydée</au><au>López-Portillo, Jorge</au><au>Merino-Ibarra, Martín</au><au>Nóbrega, Rodolfo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determining hydrological flow paths to enhance restoration in impaired mangrove wetlands</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-01-30</date><risdate>2020</risdate><volume>15</volume><issue>1</issue><spage>e0227665</spage><epage>e0227665</epage><pages>e0227665-e0227665</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The restoration of mangroves has gained prominence in recent decades. Hydrological rehabilitation has been undertaken to connect impaired mangroves with the sea, lagoons or estuaries. Because mangrove hydrodynamics occurs on the surface and interstitial spaces in the sediment, we propose to determine the hydrological flow paths to restore the hydrological regimes of the impaired mangroves. The hydrological flow paths were determined through a micro basin analysis based on microtopographic data to generate a digital elevation model. Applying this methodological approach, the hydrology of an impaired area on a barrier island in the Gulf of Mexico was restored by excavating, desilting or clearing the channels on the identified hydrological flow paths. This area was compared to one in which impaired mangroves were reconnected to the marine lagoon but disregarding the flow paths. Data collected in both areas were evaluated by flood level analysis, using two methods: (i) a simple linear regression model (SLRM) and (ii) spectral analysis (SA), also known as dominant frequency analysis. The results suggest that restoration based on the hydrological flow paths was more effective than the direct opening to the nearest main water body without accounting for the microtopography. In both areas, soil salinity and sulfides decreased after hydrological reconnection. However, a greater efficiency in the investment of time and human resources was achieved when preferential flow paths were identified and taken into account. The methodological procedures described in this study are of universal application to other mangrove restoration programs.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>31999717</pmid><doi>10.1371/journal.pone.0227665</doi><tpages>e0227665</tpages><orcidid>https://orcid.org/0000-0001-7473-2691</orcidid><oa>free_for_read</oa></addata></record> |
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recordid | cdi_plos_journals_2348788869 |
source | Publicly Available Content (ProQuest); PubMed Central |
subjects | Analysis Barrier islands Biogeochemistry Biology and Life Sciences Climate change Climate Change - statistics & numerical data Computational fluid dynamics Connectivity Conservation of Natural Resources - methods Conservation of Natural Resources - statistics & numerical data Conservation of Water Resources - methods Conservation of Water Resources - statistics & numerical data Desilting Digital Elevation Models Earth Sciences Ecology and Environmental Sciences Ecosystems Environmental Monitoring - statistics & numerical data Environmental restoration Estuaries Flood level Flood levels Floods Floods - prevention & control Floods - statistics & numerical data Flow Flow (Dynamics) Flow paths Fluid dynamics Fluid flow Frequency analysis Gulf of Mexico Human resources Hydrodynamics Hydrologic data Hydrologic regime Hydrology Islands Lagoons Linear Models Mangroves Mexico Models, Theoretical Oxidation Physical Sciences Precipitation Preferential flow Regression analysis Regression models Rehabilitation Restoration Salinity Sediments Sediments (Geology) Soil Soil salinity Spectral analysis Spectrum analysis Sulfides Sulfur compounds Supervision Time Vegetation Water Water bodies Wetlands |
title | Determining hydrological flow paths to enhance restoration in impaired mangrove wetlands |
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