Developing a Restorable Wetland Index for Rainwater Basin Wetlands in South-Central Nebraska: A Multi-Criteria Spatial Analysis
Abstract It is always challenging for decision makers to prioritize wetland conservation programs at the landscape scale. This study employed a GIS-based multi-criteria spatial decision support tool that identified locations with the highest restoration potential for wetland conservation programs in...
Ausführliche Beschreibung
Autor*in: |
Tang, Zhenghong [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2012 |
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Schlagwörter: |
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Anmerkung: |
© Society of Wetland Scientists 2012 |
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Übergeordnetes Werk: |
Enthalten in: Wetlands - [S.l.] : Springer, 1981, 32(2012), 5 vom: 17. Juli, Seite 975-984 |
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Übergeordnetes Werk: |
volume:32 ; year:2012 ; number:5 ; day:17 ; month:07 ; pages:975-984 |
Links: |
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DOI / URN: |
10.1007/s13157-012-0320-x |
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Katalog-ID: |
SPR030691281 |
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520 | |a Abstract It is always challenging for decision makers to prioritize wetland conservation programs at the landscape scale. This study employed a GIS-based multi-criteria spatial decision support tool that identified locations with the highest restoration potential for wetland conservation programs in the Rainwater Basin in south-central Nebraska. Five indicators were considered to assess wetland restoration potential: (1) Vegetation characteristics; (2) Soil characteristics; (3) Water volume released from hydrological modification of agricultural irrigation pits; (4) Topographical depression status; and (5) Habitat condition. The results suggested 192 (1.6 % of the total) hydric soil footprints as the highest prioritized locations for future wetland restoration programs. The results also identified 901 footprints (7.7 % of the total) with medium-high restoration potential, 1,792 (15.2 % of the total) footprints with medium-low restorable potential and 8,875 (75.5 % of the total) footprints with low restorable potential. The methodology and statistical results contribute directly to the state’s Rainwater Basin Wetland Program Plan and are potentially applicable to the management of other wetlands across the region and globally. | ||
650 | 4 | |a Wetland restoration |7 (dpeaa)DE-He213 | |
650 | 4 | |a Restorable wetland index (RWI) |7 (dpeaa)DE-He213 | |
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650 | 4 | |a GIS |7 (dpeaa)DE-He213 | |
650 | 4 | |a Decision making tool |7 (dpeaa)DE-He213 | |
700 | 1 | |a Li, Xu |4 aut | |
700 | 1 | |a Zhao, Nan |4 aut | |
700 | 1 | |a Li, Ruopu |4 aut | |
700 | 1 | |a Harvey, Edwin F. |4 aut | |
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10.1007/s13157-012-0320-x doi (DE-627)SPR030691281 (SPR)s13157-012-0320-x-e DE-627 ger DE-627 rakwb eng Tang, Zhenghong verfasserin aut Developing a Restorable Wetland Index for Rainwater Basin Wetlands in South-Central Nebraska: A Multi-Criteria Spatial Analysis 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Society of Wetland Scientists 2012 Abstract It is always challenging for decision makers to prioritize wetland conservation programs at the landscape scale. This study employed a GIS-based multi-criteria spatial decision support tool that identified locations with the highest restoration potential for wetland conservation programs in the Rainwater Basin in south-central Nebraska. Five indicators were considered to assess wetland restoration potential: (1) Vegetation characteristics; (2) Soil characteristics; (3) Water volume released from hydrological modification of agricultural irrigation pits; (4) Topographical depression status; and (5) Habitat condition. The results suggested 192 (1.6 % of the total) hydric soil footprints as the highest prioritized locations for future wetland restoration programs. The results also identified 901 footprints (7.7 % of the total) with medium-high restoration potential, 1,792 (15.2 % of the total) footprints with medium-low restorable potential and 8,875 (75.5 % of the total) footprints with low restorable potential. The methodology and statistical results contribute directly to the state’s Rainwater Basin Wetland Program Plan and are potentially applicable to the management of other wetlands across the region and globally. Wetland restoration (dpeaa)DE-He213 Restorable wetland index (RWI) (dpeaa)DE-He213 Wetland program plan (dpeaa)DE-He213 GIS (dpeaa)DE-He213 Decision making tool (dpeaa)DE-He213 Li, Xu aut Zhao, Nan aut Li, Ruopu aut Harvey, Edwin F. aut Enthalten in Wetlands [S.l.] : Springer, 1981 32(2012), 5 vom: 17. Juli, Seite 975-984 (DE-627)478509081 (DE-600)2175922-4 1943-6246 nnns volume:32 year:2012 number:5 day:17 month:07 pages:975-984 https://dx.doi.org/10.1007/s13157-012-0320-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 32 2012 5 17 07 975-984 |
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10.1007/s13157-012-0320-x doi (DE-627)SPR030691281 (SPR)s13157-012-0320-x-e DE-627 ger DE-627 rakwb eng Tang, Zhenghong verfasserin aut Developing a Restorable Wetland Index for Rainwater Basin Wetlands in South-Central Nebraska: A Multi-Criteria Spatial Analysis 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Society of Wetland Scientists 2012 Abstract It is always challenging for decision makers to prioritize wetland conservation programs at the landscape scale. This study employed a GIS-based multi-criteria spatial decision support tool that identified locations with the highest restoration potential for wetland conservation programs in the Rainwater Basin in south-central Nebraska. Five indicators were considered to assess wetland restoration potential: (1) Vegetation characteristics; (2) Soil characteristics; (3) Water volume released from hydrological modification of agricultural irrigation pits; (4) Topographical depression status; and (5) Habitat condition. The results suggested 192 (1.6 % of the total) hydric soil footprints as the highest prioritized locations for future wetland restoration programs. The results also identified 901 footprints (7.7 % of the total) with medium-high restoration potential, 1,792 (15.2 % of the total) footprints with medium-low restorable potential and 8,875 (75.5 % of the total) footprints with low restorable potential. The methodology and statistical results contribute directly to the state’s Rainwater Basin Wetland Program Plan and are potentially applicable to the management of other wetlands across the region and globally. Wetland restoration (dpeaa)DE-He213 Restorable wetland index (RWI) (dpeaa)DE-He213 Wetland program plan (dpeaa)DE-He213 GIS (dpeaa)DE-He213 Decision making tool (dpeaa)DE-He213 Li, Xu aut Zhao, Nan aut Li, Ruopu aut Harvey, Edwin F. aut Enthalten in Wetlands [S.l.] : Springer, 1981 32(2012), 5 vom: 17. Juli, Seite 975-984 (DE-627)478509081 (DE-600)2175922-4 1943-6246 nnns volume:32 year:2012 number:5 day:17 month:07 pages:975-984 https://dx.doi.org/10.1007/s13157-012-0320-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 32 2012 5 17 07 975-984 |
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10.1007/s13157-012-0320-x doi (DE-627)SPR030691281 (SPR)s13157-012-0320-x-e DE-627 ger DE-627 rakwb eng Tang, Zhenghong verfasserin aut Developing a Restorable Wetland Index for Rainwater Basin Wetlands in South-Central Nebraska: A Multi-Criteria Spatial Analysis 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Society of Wetland Scientists 2012 Abstract It is always challenging for decision makers to prioritize wetland conservation programs at the landscape scale. This study employed a GIS-based multi-criteria spatial decision support tool that identified locations with the highest restoration potential for wetland conservation programs in the Rainwater Basin in south-central Nebraska. Five indicators were considered to assess wetland restoration potential: (1) Vegetation characteristics; (2) Soil characteristics; (3) Water volume released from hydrological modification of agricultural irrigation pits; (4) Topographical depression status; and (5) Habitat condition. The results suggested 192 (1.6 % of the total) hydric soil footprints as the highest prioritized locations for future wetland restoration programs. The results also identified 901 footprints (7.7 % of the total) with medium-high restoration potential, 1,792 (15.2 % of the total) footprints with medium-low restorable potential and 8,875 (75.5 % of the total) footprints with low restorable potential. The methodology and statistical results contribute directly to the state’s Rainwater Basin Wetland Program Plan and are potentially applicable to the management of other wetlands across the region and globally. Wetland restoration (dpeaa)DE-He213 Restorable wetland index (RWI) (dpeaa)DE-He213 Wetland program plan (dpeaa)DE-He213 GIS (dpeaa)DE-He213 Decision making tool (dpeaa)DE-He213 Li, Xu aut Zhao, Nan aut Li, Ruopu aut Harvey, Edwin F. aut Enthalten in Wetlands [S.l.] : Springer, 1981 32(2012), 5 vom: 17. Juli, Seite 975-984 (DE-627)478509081 (DE-600)2175922-4 1943-6246 nnns volume:32 year:2012 number:5 day:17 month:07 pages:975-984 https://dx.doi.org/10.1007/s13157-012-0320-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 32 2012 5 17 07 975-984 |
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10.1007/s13157-012-0320-x doi (DE-627)SPR030691281 (SPR)s13157-012-0320-x-e DE-627 ger DE-627 rakwb eng Tang, Zhenghong verfasserin aut Developing a Restorable Wetland Index for Rainwater Basin Wetlands in South-Central Nebraska: A Multi-Criteria Spatial Analysis 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Society of Wetland Scientists 2012 Abstract It is always challenging for decision makers to prioritize wetland conservation programs at the landscape scale. This study employed a GIS-based multi-criteria spatial decision support tool that identified locations with the highest restoration potential for wetland conservation programs in the Rainwater Basin in south-central Nebraska. Five indicators were considered to assess wetland restoration potential: (1) Vegetation characteristics; (2) Soil characteristics; (3) Water volume released from hydrological modification of agricultural irrigation pits; (4) Topographical depression status; and (5) Habitat condition. The results suggested 192 (1.6 % of the total) hydric soil footprints as the highest prioritized locations for future wetland restoration programs. The results also identified 901 footprints (7.7 % of the total) with medium-high restoration potential, 1,792 (15.2 % of the total) footprints with medium-low restorable potential and 8,875 (75.5 % of the total) footprints with low restorable potential. The methodology and statistical results contribute directly to the state’s Rainwater Basin Wetland Program Plan and are potentially applicable to the management of other wetlands across the region and globally. Wetland restoration (dpeaa)DE-He213 Restorable wetland index (RWI) (dpeaa)DE-He213 Wetland program plan (dpeaa)DE-He213 GIS (dpeaa)DE-He213 Decision making tool (dpeaa)DE-He213 Li, Xu aut Zhao, Nan aut Li, Ruopu aut Harvey, Edwin F. aut Enthalten in Wetlands [S.l.] : Springer, 1981 32(2012), 5 vom: 17. Juli, Seite 975-984 (DE-627)478509081 (DE-600)2175922-4 1943-6246 nnns volume:32 year:2012 number:5 day:17 month:07 pages:975-984 https://dx.doi.org/10.1007/s13157-012-0320-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 32 2012 5 17 07 975-984 |
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10.1007/s13157-012-0320-x doi (DE-627)SPR030691281 (SPR)s13157-012-0320-x-e DE-627 ger DE-627 rakwb eng Tang, Zhenghong verfasserin aut Developing a Restorable Wetland Index for Rainwater Basin Wetlands in South-Central Nebraska: A Multi-Criteria Spatial Analysis 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Society of Wetland Scientists 2012 Abstract It is always challenging for decision makers to prioritize wetland conservation programs at the landscape scale. This study employed a GIS-based multi-criteria spatial decision support tool that identified locations with the highest restoration potential for wetland conservation programs in the Rainwater Basin in south-central Nebraska. Five indicators were considered to assess wetland restoration potential: (1) Vegetation characteristics; (2) Soil characteristics; (3) Water volume released from hydrological modification of agricultural irrigation pits; (4) Topographical depression status; and (5) Habitat condition. The results suggested 192 (1.6 % of the total) hydric soil footprints as the highest prioritized locations for future wetland restoration programs. The results also identified 901 footprints (7.7 % of the total) with medium-high restoration potential, 1,792 (15.2 % of the total) footprints with medium-low restorable potential and 8,875 (75.5 % of the total) footprints with low restorable potential. The methodology and statistical results contribute directly to the state’s Rainwater Basin Wetland Program Plan and are potentially applicable to the management of other wetlands across the region and globally. Wetland restoration (dpeaa)DE-He213 Restorable wetland index (RWI) (dpeaa)DE-He213 Wetland program plan (dpeaa)DE-He213 GIS (dpeaa)DE-He213 Decision making tool (dpeaa)DE-He213 Li, Xu aut Zhao, Nan aut Li, Ruopu aut Harvey, Edwin F. aut Enthalten in Wetlands [S.l.] : Springer, 1981 32(2012), 5 vom: 17. Juli, Seite 975-984 (DE-627)478509081 (DE-600)2175922-4 1943-6246 nnns volume:32 year:2012 number:5 day:17 month:07 pages:975-984 https://dx.doi.org/10.1007/s13157-012-0320-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 32 2012 5 17 07 975-984 |
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Tang, Zhenghong @@aut@@ Li, Xu @@aut@@ Zhao, Nan @@aut@@ Li, Ruopu @@aut@@ Harvey, Edwin F. @@aut@@ |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR030691281</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519172355.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2012 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s13157-012-0320-x</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR030691281</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s13157-012-0320-x-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Tang, Zhenghong</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Developing a Restorable Wetland Index for Rainwater Basin Wetlands in South-Central Nebraska: A Multi-Criteria Spatial Analysis</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2012</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Society of Wetland Scientists 2012</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract It is always challenging for decision makers to prioritize wetland conservation programs at the landscape scale. This study employed a GIS-based multi-criteria spatial decision support tool that identified locations with the highest restoration potential for wetland conservation programs in the Rainwater Basin in south-central Nebraska. Five indicators were considered to assess wetland restoration potential: (1) Vegetation characteristics; (2) Soil characteristics; (3) Water volume released from hydrological modification of agricultural irrigation pits; (4) Topographical depression status; and (5) Habitat condition. The results suggested 192 (1.6 % of the total) hydric soil footprints as the highest prioritized locations for future wetland restoration programs. The results also identified 901 footprints (7.7 % of the total) with medium-high restoration potential, 1,792 (15.2 % of the total) footprints with medium-low restorable potential and 8,875 (75.5 % of the total) footprints with low restorable potential. 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Tang, Zhenghong |
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Tang, Zhenghong misc Wetland restoration misc Restorable wetland index (RWI) misc Wetland program plan misc GIS misc Decision making tool Developing a Restorable Wetland Index for Rainwater Basin Wetlands in South-Central Nebraska: A Multi-Criteria Spatial Analysis |
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Developing a Restorable Wetland Index for Rainwater Basin Wetlands in South-Central Nebraska: A Multi-Criteria Spatial Analysis Wetland restoration (dpeaa)DE-He213 Restorable wetland index (RWI) (dpeaa)DE-He213 Wetland program plan (dpeaa)DE-He213 GIS (dpeaa)DE-He213 Decision making tool (dpeaa)DE-He213 |
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developing a restorable wetland index for rainwater basin wetlands in south-central nebraska: a multi-criteria spatial analysis |
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Developing a Restorable Wetland Index for Rainwater Basin Wetlands in South-Central Nebraska: A Multi-Criteria Spatial Analysis |
abstract |
Abstract It is always challenging for decision makers to prioritize wetland conservation programs at the landscape scale. This study employed a GIS-based multi-criteria spatial decision support tool that identified locations with the highest restoration potential for wetland conservation programs in the Rainwater Basin in south-central Nebraska. Five indicators were considered to assess wetland restoration potential: (1) Vegetation characteristics; (2) Soil characteristics; (3) Water volume released from hydrological modification of agricultural irrigation pits; (4) Topographical depression status; and (5) Habitat condition. The results suggested 192 (1.6 % of the total) hydric soil footprints as the highest prioritized locations for future wetland restoration programs. The results also identified 901 footprints (7.7 % of the total) with medium-high restoration potential, 1,792 (15.2 % of the total) footprints with medium-low restorable potential and 8,875 (75.5 % of the total) footprints with low restorable potential. The methodology and statistical results contribute directly to the state’s Rainwater Basin Wetland Program Plan and are potentially applicable to the management of other wetlands across the region and globally. © Society of Wetland Scientists 2012 |
abstractGer |
Abstract It is always challenging for decision makers to prioritize wetland conservation programs at the landscape scale. This study employed a GIS-based multi-criteria spatial decision support tool that identified locations with the highest restoration potential for wetland conservation programs in the Rainwater Basin in south-central Nebraska. Five indicators were considered to assess wetland restoration potential: (1) Vegetation characteristics; (2) Soil characteristics; (3) Water volume released from hydrological modification of agricultural irrigation pits; (4) Topographical depression status; and (5) Habitat condition. The results suggested 192 (1.6 % of the total) hydric soil footprints as the highest prioritized locations for future wetland restoration programs. The results also identified 901 footprints (7.7 % of the total) with medium-high restoration potential, 1,792 (15.2 % of the total) footprints with medium-low restorable potential and 8,875 (75.5 % of the total) footprints with low restorable potential. The methodology and statistical results contribute directly to the state’s Rainwater Basin Wetland Program Plan and are potentially applicable to the management of other wetlands across the region and globally. © Society of Wetland Scientists 2012 |
abstract_unstemmed |
Abstract It is always challenging for decision makers to prioritize wetland conservation programs at the landscape scale. This study employed a GIS-based multi-criteria spatial decision support tool that identified locations with the highest restoration potential for wetland conservation programs in the Rainwater Basin in south-central Nebraska. Five indicators were considered to assess wetland restoration potential: (1) Vegetation characteristics; (2) Soil characteristics; (3) Water volume released from hydrological modification of agricultural irrigation pits; (4) Topographical depression status; and (5) Habitat condition. The results suggested 192 (1.6 % of the total) hydric soil footprints as the highest prioritized locations for future wetland restoration programs. The results also identified 901 footprints (7.7 % of the total) with medium-high restoration potential, 1,792 (15.2 % of the total) footprints with medium-low restorable potential and 8,875 (75.5 % of the total) footprints with low restorable potential. The methodology and statistical results contribute directly to the state’s Rainwater Basin Wetland Program Plan and are potentially applicable to the management of other wetlands across the region and globally. © Society of Wetland Scientists 2012 |
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container_issue |
5 |
title_short |
Developing a Restorable Wetland Index for Rainwater Basin Wetlands in South-Central Nebraska: A Multi-Criteria Spatial Analysis |
url |
https://dx.doi.org/10.1007/s13157-012-0320-x |
remote_bool |
true |
author2 |
Li, Xu Zhao, Nan Li, Ruopu Harvey, Edwin F. |
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Li, Xu Zhao, Nan Li, Ruopu Harvey, Edwin F. |
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doi_str |
10.1007/s13157-012-0320-x |
up_date |
2024-07-03T19:34:47.346Z |
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score |
7.398429 |