GIS-based multi-criteria model for land suitability evaluation of rainfed teff crop production in degraded semi-arid highlands of Northern Ethiopia
Abstract Teff Eragrostis tef (Zucc.) crop production is essential since it is a major food crop in Ethiopia. This paper presents a teff land suitability evaluation model in Northern semi-arid Ethiopia by using GIS-based multi-criteria decision making analysis (MCDMA) in order to identify areas that...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Kahsay, Araya [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Nature Switzerland AG 2018 |
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| Übergeordnetes Werk: |
Enthalten in: Modeling earth systems and environment - Berlin : Springer, 2015, 4(2018), 4 vom: 18. Juli, Seite 1467-1486 |
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| Übergeordnetes Werk: |
volume:4 ; year:2018 ; number:4 ; day:18 ; month:07 ; pages:1467-1486 |
| Links: |
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| DOI / URN: |
10.1007/s40808-018-0499-9 |
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| Katalog-ID: |
SPR037841750 |
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| 245 | 1 | 0 | |a GIS-based multi-criteria model for land suitability evaluation of rainfed teff crop production in degraded semi-arid highlands of Northern Ethiopia |
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| 520 | |a Abstract Teff Eragrostis tef (Zucc.) crop production is essential since it is a major food crop in Ethiopia. This paper presents a teff land suitability evaluation model in Northern semi-arid Ethiopia by using GIS-based multi-criteria decision making analysis (MCDMA) in order to identify areas that best suit sustainable production of the crop. The results showed that 37.59, 56.99 and 5.42% of the area are moderately (S2), marginally (S3) and currently not suitable (N1) for teff crop production. Mean weight diameter, available water capacity, total nitrogen, available phosphorus, exchangeable bases, length of growing period and slope are the major constraints causing serious hurdle for teff production. However, with the application of organic and inorganic fertilizer (especially of nitrogen, phosphorus and potassium fertilizers), tillage, soil and water management practices 2.05, 55.85 and 13.51% changes in suitability from N1 to S3, S3 to S2 and S2 to S1 suitability levels respectively is occurred. This indicates that the area is promising if investments in land and soil managements are made though climate and topographic factors supported by some soil physical and morphological properties are permanently limiting its suitability. GIS-based AHP model is superior for land suitability evaluation of teff crop production in areas with various soil and landscape positions. | ||
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| 700 | 1 | |a Gebresamuel, Girmay |4 aut | |
| 700 | 1 | |a Mohammed, Muktar |4 aut | |
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10.1007/s40808-018-0499-9 doi (DE-627)SPR037841750 (SPR)s40808-018-0499-9-e DE-627 ger DE-627 rakwb eng Kahsay, Araya verfasserin (orcid)0000-0002-0421-6795 aut GIS-based multi-criteria model for land suitability evaluation of rainfed teff crop production in degraded semi-arid highlands of Northern Ethiopia 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Switzerland AG 2018 Abstract Teff Eragrostis tef (Zucc.) crop production is essential since it is a major food crop in Ethiopia. This paper presents a teff land suitability evaluation model in Northern semi-arid Ethiopia by using GIS-based multi-criteria decision making analysis (MCDMA) in order to identify areas that best suit sustainable production of the crop. The results showed that 37.59, 56.99 and 5.42% of the area are moderately (S2), marginally (S3) and currently not suitable (N1) for teff crop production. Mean weight diameter, available water capacity, total nitrogen, available phosphorus, exchangeable bases, length of growing period and slope are the major constraints causing serious hurdle for teff production. However, with the application of organic and inorganic fertilizer (especially of nitrogen, phosphorus and potassium fertilizers), tillage, soil and water management practices 2.05, 55.85 and 13.51% changes in suitability from N1 to S3, S3 to S2 and S2 to S1 suitability levels respectively is occurred. This indicates that the area is promising if investments in land and soil managements are made though climate and topographic factors supported by some soil physical and morphological properties are permanently limiting its suitability. GIS-based AHP model is superior for land suitability evaluation of teff crop production in areas with various soil and landscape positions. Land suitability evaluation (dpeaa)DE-He213 Land unit (dpeaa)DE-He213 Geographic information system (dpeaa)DE-He213 Limiting factors (dpeaa)DE-He213 Teff (dpeaa)DE-He213 Haile, Mitiku aut Gebresamuel, Girmay aut Mohammed, Muktar aut Enthalten in Modeling earth systems and environment Berlin : Springer, 2015 4(2018), 4 vom: 18. Juli, Seite 1467-1486 (DE-627)825736587 (DE-600)2821317-8 2363-6211 nnns volume:4 year:2018 number:4 day:18 month:07 pages:1467-1486 https://dx.doi.org/10.1007/s40808-018-0499-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2018 4 18 07 1467-1486 |
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10.1007/s40808-018-0499-9 doi (DE-627)SPR037841750 (SPR)s40808-018-0499-9-e DE-627 ger DE-627 rakwb eng Kahsay, Araya verfasserin (orcid)0000-0002-0421-6795 aut GIS-based multi-criteria model for land suitability evaluation of rainfed teff crop production in degraded semi-arid highlands of Northern Ethiopia 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Switzerland AG 2018 Abstract Teff Eragrostis tef (Zucc.) crop production is essential since it is a major food crop in Ethiopia. This paper presents a teff land suitability evaluation model in Northern semi-arid Ethiopia by using GIS-based multi-criteria decision making analysis (MCDMA) in order to identify areas that best suit sustainable production of the crop. The results showed that 37.59, 56.99 and 5.42% of the area are moderately (S2), marginally (S3) and currently not suitable (N1) for teff crop production. Mean weight diameter, available water capacity, total nitrogen, available phosphorus, exchangeable bases, length of growing period and slope are the major constraints causing serious hurdle for teff production. However, with the application of organic and inorganic fertilizer (especially of nitrogen, phosphorus and potassium fertilizers), tillage, soil and water management practices 2.05, 55.85 and 13.51% changes in suitability from N1 to S3, S3 to S2 and S2 to S1 suitability levels respectively is occurred. This indicates that the area is promising if investments in land and soil managements are made though climate and topographic factors supported by some soil physical and morphological properties are permanently limiting its suitability. GIS-based AHP model is superior for land suitability evaluation of teff crop production in areas with various soil and landscape positions. Land suitability evaluation (dpeaa)DE-He213 Land unit (dpeaa)DE-He213 Geographic information system (dpeaa)DE-He213 Limiting factors (dpeaa)DE-He213 Teff (dpeaa)DE-He213 Haile, Mitiku aut Gebresamuel, Girmay aut Mohammed, Muktar aut Enthalten in Modeling earth systems and environment Berlin : Springer, 2015 4(2018), 4 vom: 18. Juli, Seite 1467-1486 (DE-627)825736587 (DE-600)2821317-8 2363-6211 nnns volume:4 year:2018 number:4 day:18 month:07 pages:1467-1486 https://dx.doi.org/10.1007/s40808-018-0499-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2018 4 18 07 1467-1486 |
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10.1007/s40808-018-0499-9 doi (DE-627)SPR037841750 (SPR)s40808-018-0499-9-e DE-627 ger DE-627 rakwb eng Kahsay, Araya verfasserin (orcid)0000-0002-0421-6795 aut GIS-based multi-criteria model for land suitability evaluation of rainfed teff crop production in degraded semi-arid highlands of Northern Ethiopia 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Switzerland AG 2018 Abstract Teff Eragrostis tef (Zucc.) crop production is essential since it is a major food crop in Ethiopia. This paper presents a teff land suitability evaluation model in Northern semi-arid Ethiopia by using GIS-based multi-criteria decision making analysis (MCDMA) in order to identify areas that best suit sustainable production of the crop. The results showed that 37.59, 56.99 and 5.42% of the area are moderately (S2), marginally (S3) and currently not suitable (N1) for teff crop production. Mean weight diameter, available water capacity, total nitrogen, available phosphorus, exchangeable bases, length of growing period and slope are the major constraints causing serious hurdle for teff production. However, with the application of organic and inorganic fertilizer (especially of nitrogen, phosphorus and potassium fertilizers), tillage, soil and water management practices 2.05, 55.85 and 13.51% changes in suitability from N1 to S3, S3 to S2 and S2 to S1 suitability levels respectively is occurred. This indicates that the area is promising if investments in land and soil managements are made though climate and topographic factors supported by some soil physical and morphological properties are permanently limiting its suitability. GIS-based AHP model is superior for land suitability evaluation of teff crop production in areas with various soil and landscape positions. Land suitability evaluation (dpeaa)DE-He213 Land unit (dpeaa)DE-He213 Geographic information system (dpeaa)DE-He213 Limiting factors (dpeaa)DE-He213 Teff (dpeaa)DE-He213 Haile, Mitiku aut Gebresamuel, Girmay aut Mohammed, Muktar aut Enthalten in Modeling earth systems and environment Berlin : Springer, 2015 4(2018), 4 vom: 18. Juli, Seite 1467-1486 (DE-627)825736587 (DE-600)2821317-8 2363-6211 nnns volume:4 year:2018 number:4 day:18 month:07 pages:1467-1486 https://dx.doi.org/10.1007/s40808-018-0499-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2018 4 18 07 1467-1486 |
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10.1007/s40808-018-0499-9 doi (DE-627)SPR037841750 (SPR)s40808-018-0499-9-e DE-627 ger DE-627 rakwb eng Kahsay, Araya verfasserin (orcid)0000-0002-0421-6795 aut GIS-based multi-criteria model for land suitability evaluation of rainfed teff crop production in degraded semi-arid highlands of Northern Ethiopia 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Switzerland AG 2018 Abstract Teff Eragrostis tef (Zucc.) crop production is essential since it is a major food crop in Ethiopia. This paper presents a teff land suitability evaluation model in Northern semi-arid Ethiopia by using GIS-based multi-criteria decision making analysis (MCDMA) in order to identify areas that best suit sustainable production of the crop. The results showed that 37.59, 56.99 and 5.42% of the area are moderately (S2), marginally (S3) and currently not suitable (N1) for teff crop production. Mean weight diameter, available water capacity, total nitrogen, available phosphorus, exchangeable bases, length of growing period and slope are the major constraints causing serious hurdle for teff production. However, with the application of organic and inorganic fertilizer (especially of nitrogen, phosphorus and potassium fertilizers), tillage, soil and water management practices 2.05, 55.85 and 13.51% changes in suitability from N1 to S3, S3 to S2 and S2 to S1 suitability levels respectively is occurred. This indicates that the area is promising if investments in land and soil managements are made though climate and topographic factors supported by some soil physical and morphological properties are permanently limiting its suitability. GIS-based AHP model is superior for land suitability evaluation of teff crop production in areas with various soil and landscape positions. Land suitability evaluation (dpeaa)DE-He213 Land unit (dpeaa)DE-He213 Geographic information system (dpeaa)DE-He213 Limiting factors (dpeaa)DE-He213 Teff (dpeaa)DE-He213 Haile, Mitiku aut Gebresamuel, Girmay aut Mohammed, Muktar aut Enthalten in Modeling earth systems and environment Berlin : Springer, 2015 4(2018), 4 vom: 18. Juli, Seite 1467-1486 (DE-627)825736587 (DE-600)2821317-8 2363-6211 nnns volume:4 year:2018 number:4 day:18 month:07 pages:1467-1486 https://dx.doi.org/10.1007/s40808-018-0499-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2018 4 18 07 1467-1486 |
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10.1007/s40808-018-0499-9 doi (DE-627)SPR037841750 (SPR)s40808-018-0499-9-e DE-627 ger DE-627 rakwb eng Kahsay, Araya verfasserin (orcid)0000-0002-0421-6795 aut GIS-based multi-criteria model for land suitability evaluation of rainfed teff crop production in degraded semi-arid highlands of Northern Ethiopia 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Switzerland AG 2018 Abstract Teff Eragrostis tef (Zucc.) crop production is essential since it is a major food crop in Ethiopia. This paper presents a teff land suitability evaluation model in Northern semi-arid Ethiopia by using GIS-based multi-criteria decision making analysis (MCDMA) in order to identify areas that best suit sustainable production of the crop. The results showed that 37.59, 56.99 and 5.42% of the area are moderately (S2), marginally (S3) and currently not suitable (N1) for teff crop production. Mean weight diameter, available water capacity, total nitrogen, available phosphorus, exchangeable bases, length of growing period and slope are the major constraints causing serious hurdle for teff production. However, with the application of organic and inorganic fertilizer (especially of nitrogen, phosphorus and potassium fertilizers), tillage, soil and water management practices 2.05, 55.85 and 13.51% changes in suitability from N1 to S3, S3 to S2 and S2 to S1 suitability levels respectively is occurred. This indicates that the area is promising if investments in land and soil managements are made though climate and topographic factors supported by some soil physical and morphological properties are permanently limiting its suitability. GIS-based AHP model is superior for land suitability evaluation of teff crop production in areas with various soil and landscape positions. Land suitability evaluation (dpeaa)DE-He213 Land unit (dpeaa)DE-He213 Geographic information system (dpeaa)DE-He213 Limiting factors (dpeaa)DE-He213 Teff (dpeaa)DE-He213 Haile, Mitiku aut Gebresamuel, Girmay aut Mohammed, Muktar aut Enthalten in Modeling earth systems and environment Berlin : Springer, 2015 4(2018), 4 vom: 18. Juli, Seite 1467-1486 (DE-627)825736587 (DE-600)2821317-8 2363-6211 nnns volume:4 year:2018 number:4 day:18 month:07 pages:1467-1486 https://dx.doi.org/10.1007/s40808-018-0499-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2018 4 18 07 1467-1486 |
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Enthalten in Modeling earth systems and environment 4(2018), 4 vom: 18. Juli, Seite 1467-1486 volume:4 year:2018 number:4 day:18 month:07 pages:1467-1486 |
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Kahsay, Araya @@aut@@ Haile, Mitiku @@aut@@ Gebresamuel, Girmay @@aut@@ Mohammed, Muktar @@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">SPR037841750</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230328210701.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s40808-018-0499-9</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR037841750</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s40808-018-0499-9-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">Kahsay, Araya</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-0421-6795</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">GIS-based multi-criteria model for land suitability evaluation of rainfed teff crop production in degraded semi-arid highlands of Northern Ethiopia</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</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">© Springer Nature Switzerland AG 2018</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Teff Eragrostis tef (Zucc.) crop production is essential since it is a major food crop in Ethiopia. This paper presents a teff land suitability evaluation model in Northern semi-arid Ethiopia by using GIS-based multi-criteria decision making analysis (MCDMA) in order to identify areas that best suit sustainable production of the crop. The results showed that 37.59, 56.99 and 5.42% of the area are moderately (S2), marginally (S3) and currently not suitable (N1) for teff crop production. Mean weight diameter, available water capacity, total nitrogen, available phosphorus, exchangeable bases, length of growing period and slope are the major constraints causing serious hurdle for teff production. However, with the application of organic and inorganic fertilizer (especially of nitrogen, phosphorus and potassium fertilizers), tillage, soil and water management practices 2.05, 55.85 and 13.51% changes in suitability from N1 to S3, S3 to S2 and S2 to S1 suitability levels respectively is occurred. This indicates that the area is promising if investments in land and soil managements are made though climate and topographic factors supported by some soil physical and morphological properties are permanently limiting its suitability. 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Kahsay, Araya |
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Kahsay, Araya misc Land suitability evaluation misc Land unit misc Geographic information system misc Limiting factors misc Teff GIS-based multi-criteria model for land suitability evaluation of rainfed teff crop production in degraded semi-arid highlands of Northern Ethiopia |
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GIS-based multi-criteria model for land suitability evaluation of rainfed teff crop production in degraded semi-arid highlands of Northern Ethiopia Land suitability evaluation (dpeaa)DE-He213 Land unit (dpeaa)DE-He213 Geographic information system (dpeaa)DE-He213 Limiting factors (dpeaa)DE-He213 Teff (dpeaa)DE-He213 |
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GIS-based multi-criteria model for land suitability evaluation of rainfed teff crop production in degraded semi-arid highlands of Northern Ethiopia |
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GIS-based multi-criteria model for land suitability evaluation of rainfed teff crop production in degraded semi-arid highlands of Northern Ethiopia |
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gis-based multi-criteria model for land suitability evaluation of rainfed teff crop production in degraded semi-arid highlands of northern ethiopia |
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GIS-based multi-criteria model for land suitability evaluation of rainfed teff crop production in degraded semi-arid highlands of Northern Ethiopia |
| abstract |
Abstract Teff Eragrostis tef (Zucc.) crop production is essential since it is a major food crop in Ethiopia. This paper presents a teff land suitability evaluation model in Northern semi-arid Ethiopia by using GIS-based multi-criteria decision making analysis (MCDMA) in order to identify areas that best suit sustainable production of the crop. The results showed that 37.59, 56.99 and 5.42% of the area are moderately (S2), marginally (S3) and currently not suitable (N1) for teff crop production. Mean weight diameter, available water capacity, total nitrogen, available phosphorus, exchangeable bases, length of growing period and slope are the major constraints causing serious hurdle for teff production. However, with the application of organic and inorganic fertilizer (especially of nitrogen, phosphorus and potassium fertilizers), tillage, soil and water management practices 2.05, 55.85 and 13.51% changes in suitability from N1 to S3, S3 to S2 and S2 to S1 suitability levels respectively is occurred. This indicates that the area is promising if investments in land and soil managements are made though climate and topographic factors supported by some soil physical and morphological properties are permanently limiting its suitability. GIS-based AHP model is superior for land suitability evaluation of teff crop production in areas with various soil and landscape positions. © Springer Nature Switzerland AG 2018 |
| abstractGer |
Abstract Teff Eragrostis tef (Zucc.) crop production is essential since it is a major food crop in Ethiopia. This paper presents a teff land suitability evaluation model in Northern semi-arid Ethiopia by using GIS-based multi-criteria decision making analysis (MCDMA) in order to identify areas that best suit sustainable production of the crop. The results showed that 37.59, 56.99 and 5.42% of the area are moderately (S2), marginally (S3) and currently not suitable (N1) for teff crop production. Mean weight diameter, available water capacity, total nitrogen, available phosphorus, exchangeable bases, length of growing period and slope are the major constraints causing serious hurdle for teff production. However, with the application of organic and inorganic fertilizer (especially of nitrogen, phosphorus and potassium fertilizers), tillage, soil and water management practices 2.05, 55.85 and 13.51% changes in suitability from N1 to S3, S3 to S2 and S2 to S1 suitability levels respectively is occurred. This indicates that the area is promising if investments in land and soil managements are made though climate and topographic factors supported by some soil physical and morphological properties are permanently limiting its suitability. GIS-based AHP model is superior for land suitability evaluation of teff crop production in areas with various soil and landscape positions. © Springer Nature Switzerland AG 2018 |
| abstract_unstemmed |
Abstract Teff Eragrostis tef (Zucc.) crop production is essential since it is a major food crop in Ethiopia. This paper presents a teff land suitability evaluation model in Northern semi-arid Ethiopia by using GIS-based multi-criteria decision making analysis (MCDMA) in order to identify areas that best suit sustainable production of the crop. The results showed that 37.59, 56.99 and 5.42% of the area are moderately (S2), marginally (S3) and currently not suitable (N1) for teff crop production. Mean weight diameter, available water capacity, total nitrogen, available phosphorus, exchangeable bases, length of growing period and slope are the major constraints causing serious hurdle for teff production. However, with the application of organic and inorganic fertilizer (especially of nitrogen, phosphorus and potassium fertilizers), tillage, soil and water management practices 2.05, 55.85 and 13.51% changes in suitability from N1 to S3, S3 to S2 and S2 to S1 suitability levels respectively is occurred. This indicates that the area is promising if investments in land and soil managements are made though climate and topographic factors supported by some soil physical and morphological properties are permanently limiting its suitability. GIS-based AHP model is superior for land suitability evaluation of teff crop production in areas with various soil and landscape positions. © Springer Nature Switzerland AG 2018 |
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GIS-based multi-criteria model for land suitability evaluation of rainfed teff crop production in degraded semi-arid highlands of Northern Ethiopia |
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https://dx.doi.org/10.1007/s40808-018-0499-9 |
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Haile, Mitiku Gebresamuel, Girmay Mohammed, Muktar |
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10.1007/s40808-018-0499-9 |
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2024-07-03T14:39:18.358Z |
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|
| score |
7.401078 |