Evaluating the effects of wetland regulation through hydrogeomorphic classification and landscape profiles

Landscape profiles describing the pattern of the diversity of wetlands in a region can serve as a standard for characterizing the resource and quantifying the effects of management decisions. We used hydrogeomorphic (HGM) classification to generate landscape profiles to evaluate the effects of mitig...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Wetlands (Wilmington, N.C.) N.C.), 1999-09, Vol.19 (3), p.477-489
Hauptverfasser: Gwin, S.E, Kentula, M.E, Shaffer, P.W
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 489
container_issue 3
container_start_page 477
container_title Wetlands (Wilmington, N.C.)
container_volume 19
creator Gwin, S.E
Kentula, M.E
Shaffer, P.W
description Landscape profiles describing the pattern of the diversity of wetlands in a region can serve as a standard for characterizing the resource and quantifying the effects of management decisions. We used hydrogeomorphic (HGM) classification to generate landscape profiles to evaluate the effects of mitigation in the rapidly urbanizing area of Portland, Oregon, USA. The profiles were produced from information on the types, numbers, and relative abundances of wetlands by HGM class. Using field data, topographic maps, and National Wetland Inventory maps, we classified 45 naturally occurring wetlands (NOWs) into regional HGM classes (depression, riverine, slope, and lacustrine fringe) and developed the corresponding landscape profile (the NOW-Profile). We then classified 51 mitigation wetlands (MWs) and added them to the profile (the All Site-Profile) to examine changes in the regional wetland resource. The classification of MWs required development of new, atypical HGM classes to describe the unique combinations of site morphology and landscape setting found in these wetlands: depression-in-riverine-setting, in-stream-depression, and depression-in-slope-setting. Comparison of the landscape profiles showed that the structure and settings of NOWs and MWs are very different. Most NOWs fell into the regional HGM classes (91%), but most MWs fit the atypical classes (75%). Most NOWs were riverine wetlands (56%), whereas most MWs were depressions-in-riverine-setting and in-stream-depressions (33% for each class). The All Site-Profile showed an increase in the proportion of wetlands with depressional morphology, comprised mostly of MWs. Results also showed that the majority (71%) of MWs were constructed, at least partially, within existing NOWs through an exchange of wetland types and that most of these MWs (86%) belonged to the atypical classes. The approach used shows that the cumulative effects of wetland management decisions can be discerned effectively through HGM classification and development of landscape profiles. Although our results are important in documenting the landscape changes taking place in a specific region through mitigation, our approach is generally applicable for evaluating wetland management decisions and helping resource managers to make better-informed, broad-based decisions about the wetland resource.
doi_str_mv 10.1007/BF03161687
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_27199281</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>27199281</sourcerecordid><originalsourceid>FETCH-LOGICAL-c379t-28eb2af5d9eaf438cefe3c8cb3865849a3df4505694a4495b7b7df79650cb14a3</originalsourceid><addsrcrecordid>eNqF0ctKw0AUBuBBFKyXjS9gQHAhROd-WapYFQou1PUwmZxJU9JOnUmUvr0pFQQ3rs7m-8-Fg9AZwdcEY3VzN8WMSCK12kMTYjgrJeVyH00wVaoUlNBDdJTzAmMiKSUTtHj4dN3g-nbVFP0cCggBfJ-LGIov6Du3qosEzdCNIq5GkeLQzIv5pk6xgbiMaT1vfeE7l3MbWr9j29Q2mr1bQ7FOMbQd5BN0EFyX4fSnHqP36cPb_VM5e3l8vr-dlZ4p05dUQ0VdELUBFzjTHgIwr33FtBSaG8fqwAUW0nDHuRGVqlQdlJEC-4pwx47R5a7vOPhjgNzbZZs9dONGEIdsqSLGUE3-hUQxrQzlI7z4AxdxSKvxCEsNxUJLw_SornbKp5hzgmDXqV26tLEE2-137O93Rny-w8FF65rUZvv-SjFhmBqOlVDsG3jTjHQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2920586938</pqid></control><display><type>article</type><title>Evaluating the effects of wetland regulation through hydrogeomorphic classification and landscape profiles</title><source>SpringerLink Journals</source><source>ProQuest Central</source><creator>Gwin, S.E ; Kentula, M.E ; Shaffer, P.W</creator><creatorcontrib>Gwin, S.E ; Kentula, M.E ; Shaffer, P.W</creatorcontrib><description>Landscape profiles describing the pattern of the diversity of wetlands in a region can serve as a standard for characterizing the resource and quantifying the effects of management decisions. We used hydrogeomorphic (HGM) classification to generate landscape profiles to evaluate the effects of mitigation in the rapidly urbanizing area of Portland, Oregon, USA. The profiles were produced from information on the types, numbers, and relative abundances of wetlands by HGM class. Using field data, topographic maps, and National Wetland Inventory maps, we classified 45 naturally occurring wetlands (NOWs) into regional HGM classes (depression, riverine, slope, and lacustrine fringe) and developed the corresponding landscape profile (the NOW-Profile). We then classified 51 mitigation wetlands (MWs) and added them to the profile (the All Site-Profile) to examine changes in the regional wetland resource. The classification of MWs required development of new, atypical HGM classes to describe the unique combinations of site morphology and landscape setting found in these wetlands: depression-in-riverine-setting, in-stream-depression, and depression-in-slope-setting. Comparison of the landscape profiles showed that the structure and settings of NOWs and MWs are very different. Most NOWs fell into the regional HGM classes (91%), but most MWs fit the atypical classes (75%). Most NOWs were riverine wetlands (56%), whereas most MWs were depressions-in-riverine-setting and in-stream-depressions (33% for each class). The All Site-Profile showed an increase in the proportion of wetlands with depressional morphology, comprised mostly of MWs. Results also showed that the majority (71%) of MWs were constructed, at least partially, within existing NOWs through an exchange of wetland types and that most of these MWs (86%) belonged to the atypical classes. The approach used shows that the cumulative effects of wetland management decisions can be discerned effectively through HGM classification and development of landscape profiles. Although our results are important in documenting the landscape changes taking place in a specific region through mitigation, our approach is generally applicable for evaluating wetland management decisions and helping resource managers to make better-informed, broad-based decisions about the wetland resource.</description><identifier>ISSN: 0277-5212</identifier><identifier>EISSN: 1943-6246</identifier><identifier>DOI: 10.1007/BF03161687</identifier><language>eng</language><publisher>Dordrecht: Springer Nature B.V</publisher><subject>Brackish ; Classification ; Decisions ; Evaluation ; Freshwater ; Geologic depressions ; geomorphology ; landscape analysis ; laws and regulations ; Management decisions ; Marine ; Morphology ; Regional development ; Topographic mapping ; Topographic maps ; USA, Oregon, Portland ; Wetland management ; wetland mitigation ; wetland restoration ; Wetlands</subject><ispartof>Wetlands (Wilmington, N.C.), 1999-09, Vol.19 (3), p.477-489</ispartof><rights>Society of Wetland Scientists 1999.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c379t-28eb2af5d9eaf438cefe3c8cb3865849a3df4505694a4495b7b7df79650cb14a3</citedby><cites>FETCH-LOGICAL-c379t-28eb2af5d9eaf438cefe3c8cb3865849a3df4505694a4495b7b7df79650cb14a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2920586938?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,21367,27901,27902,33721,33722,43781</link.rule.ids></links><search><creatorcontrib>Gwin, S.E</creatorcontrib><creatorcontrib>Kentula, M.E</creatorcontrib><creatorcontrib>Shaffer, P.W</creatorcontrib><title>Evaluating the effects of wetland regulation through hydrogeomorphic classification and landscape profiles</title><title>Wetlands (Wilmington, N.C.)</title><description>Landscape profiles describing the pattern of the diversity of wetlands in a region can serve as a standard for characterizing the resource and quantifying the effects of management decisions. We used hydrogeomorphic (HGM) classification to generate landscape profiles to evaluate the effects of mitigation in the rapidly urbanizing area of Portland, Oregon, USA. The profiles were produced from information on the types, numbers, and relative abundances of wetlands by HGM class. Using field data, topographic maps, and National Wetland Inventory maps, we classified 45 naturally occurring wetlands (NOWs) into regional HGM classes (depression, riverine, slope, and lacustrine fringe) and developed the corresponding landscape profile (the NOW-Profile). We then classified 51 mitigation wetlands (MWs) and added them to the profile (the All Site-Profile) to examine changes in the regional wetland resource. The classification of MWs required development of new, atypical HGM classes to describe the unique combinations of site morphology and landscape setting found in these wetlands: depression-in-riverine-setting, in-stream-depression, and depression-in-slope-setting. Comparison of the landscape profiles showed that the structure and settings of NOWs and MWs are very different. Most NOWs fell into the regional HGM classes (91%), but most MWs fit the atypical classes (75%). Most NOWs were riverine wetlands (56%), whereas most MWs were depressions-in-riverine-setting and in-stream-depressions (33% for each class). The All Site-Profile showed an increase in the proportion of wetlands with depressional morphology, comprised mostly of MWs. Results also showed that the majority (71%) of MWs were constructed, at least partially, within existing NOWs through an exchange of wetland types and that most of these MWs (86%) belonged to the atypical classes. The approach used shows that the cumulative effects of wetland management decisions can be discerned effectively through HGM classification and development of landscape profiles. Although our results are important in documenting the landscape changes taking place in a specific region through mitigation, our approach is generally applicable for evaluating wetland management decisions and helping resource managers to make better-informed, broad-based decisions about the wetland resource.</description><subject>Brackish</subject><subject>Classification</subject><subject>Decisions</subject><subject>Evaluation</subject><subject>Freshwater</subject><subject>Geologic depressions</subject><subject>geomorphology</subject><subject>landscape analysis</subject><subject>laws and regulations</subject><subject>Management decisions</subject><subject>Marine</subject><subject>Morphology</subject><subject>Regional development</subject><subject>Topographic mapping</subject><subject>Topographic maps</subject><subject>USA, Oregon, Portland</subject><subject>Wetland management</subject><subject>wetland mitigation</subject><subject>wetland restoration</subject><subject>Wetlands</subject><issn>0277-5212</issn><issn>1943-6246</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNqF0ctKw0AUBuBBFKyXjS9gQHAhROd-WapYFQou1PUwmZxJU9JOnUmUvr0pFQQ3rs7m-8-Fg9AZwdcEY3VzN8WMSCK12kMTYjgrJeVyH00wVaoUlNBDdJTzAmMiKSUTtHj4dN3g-nbVFP0cCggBfJ-LGIov6Du3qosEzdCNIq5GkeLQzIv5pk6xgbiMaT1vfeE7l3MbWr9j29Q2mr1bQ7FOMbQd5BN0EFyX4fSnHqP36cPb_VM5e3l8vr-dlZ4p05dUQ0VdELUBFzjTHgIwr33FtBSaG8fqwAUW0nDHuRGVqlQdlJEC-4pwx47R5a7vOPhjgNzbZZs9dONGEIdsqSLGUE3-hUQxrQzlI7z4AxdxSKvxCEsNxUJLw_SornbKp5hzgmDXqV26tLEE2-137O93Rny-w8FF65rUZvv-SjFhmBqOlVDsG3jTjHQ</recordid><startdate>19990901</startdate><enddate>19990901</enddate><creator>Gwin, S.E</creator><creator>Kentula, M.E</creator><creator>Shaffer, P.W</creator><general>Springer Nature B.V</general><scope>FBQ</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M0K</scope><scope>M7P</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>7QH</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>H97</scope><scope>L.G</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>19990901</creationdate><title>Evaluating the effects of wetland regulation through hydrogeomorphic classification and landscape profiles</title><author>Gwin, S.E ; Kentula, M.E ; Shaffer, P.W</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c379t-28eb2af5d9eaf438cefe3c8cb3865849a3df4505694a4495b7b7df79650cb14a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Brackish</topic><topic>Classification</topic><topic>Decisions</topic><topic>Evaluation</topic><topic>Freshwater</topic><topic>Geologic depressions</topic><topic>geomorphology</topic><topic>landscape analysis</topic><topic>laws and regulations</topic><topic>Management decisions</topic><topic>Marine</topic><topic>Morphology</topic><topic>Regional development</topic><topic>Topographic mapping</topic><topic>Topographic maps</topic><topic>USA, Oregon, Portland</topic><topic>Wetland management</topic><topic>wetland mitigation</topic><topic>wetland restoration</topic><topic>Wetlands</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gwin, S.E</creatorcontrib><creatorcontrib>Kentula, M.E</creatorcontrib><creatorcontrib>Shaffer, P.W</creatorcontrib><collection>AGRIS</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Biological Science Database</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 3: Aquatic Pollution &amp; Environmental Quality</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Wetlands (Wilmington, N.C.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gwin, S.E</au><au>Kentula, M.E</au><au>Shaffer, P.W</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluating the effects of wetland regulation through hydrogeomorphic classification and landscape profiles</atitle><jtitle>Wetlands (Wilmington, N.C.)</jtitle><date>1999-09-01</date><risdate>1999</risdate><volume>19</volume><issue>3</issue><spage>477</spage><epage>489</epage><pages>477-489</pages><issn>0277-5212</issn><eissn>1943-6246</eissn><abstract>Landscape profiles describing the pattern of the diversity of wetlands in a region can serve as a standard for characterizing the resource and quantifying the effects of management decisions. We used hydrogeomorphic (HGM) classification to generate landscape profiles to evaluate the effects of mitigation in the rapidly urbanizing area of Portland, Oregon, USA. The profiles were produced from information on the types, numbers, and relative abundances of wetlands by HGM class. Using field data, topographic maps, and National Wetland Inventory maps, we classified 45 naturally occurring wetlands (NOWs) into regional HGM classes (depression, riverine, slope, and lacustrine fringe) and developed the corresponding landscape profile (the NOW-Profile). We then classified 51 mitigation wetlands (MWs) and added them to the profile (the All Site-Profile) to examine changes in the regional wetland resource. The classification of MWs required development of new, atypical HGM classes to describe the unique combinations of site morphology and landscape setting found in these wetlands: depression-in-riverine-setting, in-stream-depression, and depression-in-slope-setting. Comparison of the landscape profiles showed that the structure and settings of NOWs and MWs are very different. Most NOWs fell into the regional HGM classes (91%), but most MWs fit the atypical classes (75%). Most NOWs were riverine wetlands (56%), whereas most MWs were depressions-in-riverine-setting and in-stream-depressions (33% for each class). The All Site-Profile showed an increase in the proportion of wetlands with depressional morphology, comprised mostly of MWs. Results also showed that the majority (71%) of MWs were constructed, at least partially, within existing NOWs through an exchange of wetland types and that most of these MWs (86%) belonged to the atypical classes. The approach used shows that the cumulative effects of wetland management decisions can be discerned effectively through HGM classification and development of landscape profiles. Although our results are important in documenting the landscape changes taking place in a specific region through mitigation, our approach is generally applicable for evaluating wetland management decisions and helping resource managers to make better-informed, broad-based decisions about the wetland resource.</abstract><cop>Dordrecht</cop><pub>Springer Nature B.V</pub><doi>10.1007/BF03161687</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0277-5212
ispartof Wetlands (Wilmington, N.C.), 1999-09, Vol.19 (3), p.477-489
issn 0277-5212
1943-6246
language eng
recordid cdi_proquest_miscellaneous_27199281
source SpringerLink Journals; ProQuest Central
subjects Brackish
Classification
Decisions
Evaluation
Freshwater
Geologic depressions
geomorphology
landscape analysis
laws and regulations
Management decisions
Marine
Morphology
Regional development
Topographic mapping
Topographic maps
USA, Oregon, Portland
Wetland management
wetland mitigation
wetland restoration
Wetlands
title Evaluating the effects of wetland regulation through hydrogeomorphic classification and landscape profiles
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T05%3A28%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Evaluating%20the%20effects%20of%20wetland%20regulation%20through%20hydrogeomorphic%20classification%20and%20landscape%20profiles&rft.jtitle=Wetlands%20(Wilmington,%20N.C.)&rft.au=Gwin,%20S.E&rft.date=1999-09-01&rft.volume=19&rft.issue=3&rft.spage=477&rft.epage=489&rft.pages=477-489&rft.issn=0277-5212&rft.eissn=1943-6246&rft_id=info:doi/10.1007/BF03161687&rft_dat=%3Cproquest_cross%3E27199281%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2920586938&rft_id=info:pmid/&rfr_iscdi=true