Application of matter-element model in soil nutrient evaluation of ecological fragile region
Abstract On the basis of the soil environment investigation in Da’an City, Jilin Province, China, 40 soil samples from main land use types were obtained and tested by standard method. Soil organic matter (SOM), total N (TN), total P (TP), total K (TK), available N (AN), available P (AP) and availabl...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Tang, Jie [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2009 |
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| Schlagwörter: |
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| Anmerkung: |
© Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag GmbH 2009 |
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| Übergeordnetes Werk: |
Enthalten in: Chinese geographical science - Beijing : Science Press, 1991, 19(2009), 2 vom: 15. Apr., Seite 168-176 |
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| Übergeordnetes Werk: |
volume:19 ; year:2009 ; number:2 ; day:15 ; month:04 ; pages:168-176 |
| Links: |
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| DOI / URN: |
10.1007/s11769-009-0168-z |
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| Katalog-ID: |
SPR022319352 |
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| 245 | 1 | 0 | |a Application of matter-element model in soil nutrient evaluation of ecological fragile region |
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| 520 | |a Abstract On the basis of the soil environment investigation in Da’an City, Jilin Province, China, 40 soil samples from main land use types were obtained and tested by standard method. Soil organic matter (SOM), total N (TN), total P (TP), total K (TK), available N (AN), available P (AP) and available K (AK) were chosen as the evaluation factors. A regional soil nutrient evaluation model was developed based on the matter-element model. The results show that the soil samples with nutrient grade II–V respectively account for 10%, 30%, 32.5% and 27.5%, and those with grade IV and V account for 60% in all samples. The relationship between soil nutrients and land types indicates that the nutrients of farmland are relatively good, with 41.7% of soil samples with the nutrient grade IV and V. The nutrients of saline-alkali land and sandy land are the worst, with 100% of soil samples with the nutrient grade IV and V. And the ratios of soil samples grade IV and V in grassland and wasteland are respectively 62.5 % and 54.55%. Generally speaking, the soil nutrients status in Da’an City is poor, 60% of soil samples are in poor and extremely poor conditions, indicating that the soil has been severely eroded. Being a relatively superior evaluation method with more accurate results and spatial distribution consistency, matter-element analysis is more suitable for regional soil nutrient evaluation than previous models. | ||
| 650 | 4 | |a soil nutrient evaluation |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a matter-element model |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a extension engineering theory |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a ecological fragile region |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Wang, Chenye |4 aut | |
| 700 | 1 | |a Lin, Nianfeng |4 aut | |
| 700 | 1 | |a Li, Zhaoyang |4 aut | |
| 700 | 1 | |a Li, Haiyi |4 aut | |
| 700 | 1 | |a Mao, Zilong |4 aut | |
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10.1007/s11769-009-0168-z doi (DE-627)SPR022319352 (SPR)s11769-009-0168-z-e DE-627 ger DE-627 rakwb eng Tang, Jie verfasserin aut Application of matter-element model in soil nutrient evaluation of ecological fragile region 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag GmbH 2009 Abstract On the basis of the soil environment investigation in Da’an City, Jilin Province, China, 40 soil samples from main land use types were obtained and tested by standard method. Soil organic matter (SOM), total N (TN), total P (TP), total K (TK), available N (AN), available P (AP) and available K (AK) were chosen as the evaluation factors. A regional soil nutrient evaluation model was developed based on the matter-element model. The results show that the soil samples with nutrient grade II–V respectively account for 10%, 30%, 32.5% and 27.5%, and those with grade IV and V account for 60% in all samples. The relationship between soil nutrients and land types indicates that the nutrients of farmland are relatively good, with 41.7% of soil samples with the nutrient grade IV and V. The nutrients of saline-alkali land and sandy land are the worst, with 100% of soil samples with the nutrient grade IV and V. And the ratios of soil samples grade IV and V in grassland and wasteland are respectively 62.5 % and 54.55%. Generally speaking, the soil nutrients status in Da’an City is poor, 60% of soil samples are in poor and extremely poor conditions, indicating that the soil has been severely eroded. Being a relatively superior evaluation method with more accurate results and spatial distribution consistency, matter-element analysis is more suitable for regional soil nutrient evaluation than previous models. soil nutrient evaluation (dpeaa)DE-He213 matter-element model (dpeaa)DE-He213 extension engineering theory (dpeaa)DE-He213 ecological fragile region (dpeaa)DE-He213 Wang, Chenye aut Lin, Nianfeng aut Li, Zhaoyang aut Li, Haiyi aut Mao, Zilong aut Enthalten in Chinese geographical science Beijing : Science Press, 1991 19(2009), 2 vom: 15. Apr., Seite 168-176 (DE-627)523858086 (DE-600)2268241-7 1993-064X nnns volume:19 year:2009 number:2 day:15 month:04 pages:168-176 https://dx.doi.org/10.1007/s11769-009-0168-z 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_152 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 19 2009 2 15 04 168-176 |
| spelling |
10.1007/s11769-009-0168-z doi (DE-627)SPR022319352 (SPR)s11769-009-0168-z-e DE-627 ger DE-627 rakwb eng Tang, Jie verfasserin aut Application of matter-element model in soil nutrient evaluation of ecological fragile region 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag GmbH 2009 Abstract On the basis of the soil environment investigation in Da’an City, Jilin Province, China, 40 soil samples from main land use types were obtained and tested by standard method. Soil organic matter (SOM), total N (TN), total P (TP), total K (TK), available N (AN), available P (AP) and available K (AK) were chosen as the evaluation factors. A regional soil nutrient evaluation model was developed based on the matter-element model. The results show that the soil samples with nutrient grade II–V respectively account for 10%, 30%, 32.5% and 27.5%, and those with grade IV and V account for 60% in all samples. The relationship between soil nutrients and land types indicates that the nutrients of farmland are relatively good, with 41.7% of soil samples with the nutrient grade IV and V. The nutrients of saline-alkali land and sandy land are the worst, with 100% of soil samples with the nutrient grade IV and V. And the ratios of soil samples grade IV and V in grassland and wasteland are respectively 62.5 % and 54.55%. Generally speaking, the soil nutrients status in Da’an City is poor, 60% of soil samples are in poor and extremely poor conditions, indicating that the soil has been severely eroded. Being a relatively superior evaluation method with more accurate results and spatial distribution consistency, matter-element analysis is more suitable for regional soil nutrient evaluation than previous models. soil nutrient evaluation (dpeaa)DE-He213 matter-element model (dpeaa)DE-He213 extension engineering theory (dpeaa)DE-He213 ecological fragile region (dpeaa)DE-He213 Wang, Chenye aut Lin, Nianfeng aut Li, Zhaoyang aut Li, Haiyi aut Mao, Zilong aut Enthalten in Chinese geographical science Beijing : Science Press, 1991 19(2009), 2 vom: 15. Apr., Seite 168-176 (DE-627)523858086 (DE-600)2268241-7 1993-064X nnns volume:19 year:2009 number:2 day:15 month:04 pages:168-176 https://dx.doi.org/10.1007/s11769-009-0168-z 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_152 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 19 2009 2 15 04 168-176 |
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10.1007/s11769-009-0168-z doi (DE-627)SPR022319352 (SPR)s11769-009-0168-z-e DE-627 ger DE-627 rakwb eng Tang, Jie verfasserin aut Application of matter-element model in soil nutrient evaluation of ecological fragile region 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag GmbH 2009 Abstract On the basis of the soil environment investigation in Da’an City, Jilin Province, China, 40 soil samples from main land use types were obtained and tested by standard method. Soil organic matter (SOM), total N (TN), total P (TP), total K (TK), available N (AN), available P (AP) and available K (AK) were chosen as the evaluation factors. A regional soil nutrient evaluation model was developed based on the matter-element model. The results show that the soil samples with nutrient grade II–V respectively account for 10%, 30%, 32.5% and 27.5%, and those with grade IV and V account for 60% in all samples. The relationship between soil nutrients and land types indicates that the nutrients of farmland are relatively good, with 41.7% of soil samples with the nutrient grade IV and V. The nutrients of saline-alkali land and sandy land are the worst, with 100% of soil samples with the nutrient grade IV and V. And the ratios of soil samples grade IV and V in grassland and wasteland are respectively 62.5 % and 54.55%. Generally speaking, the soil nutrients status in Da’an City is poor, 60% of soil samples are in poor and extremely poor conditions, indicating that the soil has been severely eroded. Being a relatively superior evaluation method with more accurate results and spatial distribution consistency, matter-element analysis is more suitable for regional soil nutrient evaluation than previous models. soil nutrient evaluation (dpeaa)DE-He213 matter-element model (dpeaa)DE-He213 extension engineering theory (dpeaa)DE-He213 ecological fragile region (dpeaa)DE-He213 Wang, Chenye aut Lin, Nianfeng aut Li, Zhaoyang aut Li, Haiyi aut Mao, Zilong aut Enthalten in Chinese geographical science Beijing : Science Press, 1991 19(2009), 2 vom: 15. Apr., Seite 168-176 (DE-627)523858086 (DE-600)2268241-7 1993-064X nnns volume:19 year:2009 number:2 day:15 month:04 pages:168-176 https://dx.doi.org/10.1007/s11769-009-0168-z 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_152 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 19 2009 2 15 04 168-176 |
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10.1007/s11769-009-0168-z doi (DE-627)SPR022319352 (SPR)s11769-009-0168-z-e DE-627 ger DE-627 rakwb eng Tang, Jie verfasserin aut Application of matter-element model in soil nutrient evaluation of ecological fragile region 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag GmbH 2009 Abstract On the basis of the soil environment investigation in Da’an City, Jilin Province, China, 40 soil samples from main land use types were obtained and tested by standard method. Soil organic matter (SOM), total N (TN), total P (TP), total K (TK), available N (AN), available P (AP) and available K (AK) were chosen as the evaluation factors. A regional soil nutrient evaluation model was developed based on the matter-element model. The results show that the soil samples with nutrient grade II–V respectively account for 10%, 30%, 32.5% and 27.5%, and those with grade IV and V account for 60% in all samples. The relationship between soil nutrients and land types indicates that the nutrients of farmland are relatively good, with 41.7% of soil samples with the nutrient grade IV and V. The nutrients of saline-alkali land and sandy land are the worst, with 100% of soil samples with the nutrient grade IV and V. And the ratios of soil samples grade IV and V in grassland and wasteland are respectively 62.5 % and 54.55%. Generally speaking, the soil nutrients status in Da’an City is poor, 60% of soil samples are in poor and extremely poor conditions, indicating that the soil has been severely eroded. Being a relatively superior evaluation method with more accurate results and spatial distribution consistency, matter-element analysis is more suitable for regional soil nutrient evaluation than previous models. soil nutrient evaluation (dpeaa)DE-He213 matter-element model (dpeaa)DE-He213 extension engineering theory (dpeaa)DE-He213 ecological fragile region (dpeaa)DE-He213 Wang, Chenye aut Lin, Nianfeng aut Li, Zhaoyang aut Li, Haiyi aut Mao, Zilong aut Enthalten in Chinese geographical science Beijing : Science Press, 1991 19(2009), 2 vom: 15. Apr., Seite 168-176 (DE-627)523858086 (DE-600)2268241-7 1993-064X nnns volume:19 year:2009 number:2 day:15 month:04 pages:168-176 https://dx.doi.org/10.1007/s11769-009-0168-z 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_152 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 19 2009 2 15 04 168-176 |
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10.1007/s11769-009-0168-z doi (DE-627)SPR022319352 (SPR)s11769-009-0168-z-e DE-627 ger DE-627 rakwb eng Tang, Jie verfasserin aut Application of matter-element model in soil nutrient evaluation of ecological fragile region 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag GmbH 2009 Abstract On the basis of the soil environment investigation in Da’an City, Jilin Province, China, 40 soil samples from main land use types were obtained and tested by standard method. Soil organic matter (SOM), total N (TN), total P (TP), total K (TK), available N (AN), available P (AP) and available K (AK) were chosen as the evaluation factors. A regional soil nutrient evaluation model was developed based on the matter-element model. The results show that the soil samples with nutrient grade II–V respectively account for 10%, 30%, 32.5% and 27.5%, and those with grade IV and V account for 60% in all samples. The relationship between soil nutrients and land types indicates that the nutrients of farmland are relatively good, with 41.7% of soil samples with the nutrient grade IV and V. The nutrients of saline-alkali land and sandy land are the worst, with 100% of soil samples with the nutrient grade IV and V. And the ratios of soil samples grade IV and V in grassland and wasteland are respectively 62.5 % and 54.55%. Generally speaking, the soil nutrients status in Da’an City is poor, 60% of soil samples are in poor and extremely poor conditions, indicating that the soil has been severely eroded. Being a relatively superior evaluation method with more accurate results and spatial distribution consistency, matter-element analysis is more suitable for regional soil nutrient evaluation than previous models. soil nutrient evaluation (dpeaa)DE-He213 matter-element model (dpeaa)DE-He213 extension engineering theory (dpeaa)DE-He213 ecological fragile region (dpeaa)DE-He213 Wang, Chenye aut Lin, Nianfeng aut Li, Zhaoyang aut Li, Haiyi aut Mao, Zilong aut Enthalten in Chinese geographical science Beijing : Science Press, 1991 19(2009), 2 vom: 15. Apr., Seite 168-176 (DE-627)523858086 (DE-600)2268241-7 1993-064X nnns volume:19 year:2009 number:2 day:15 month:04 pages:168-176 https://dx.doi.org/10.1007/s11769-009-0168-z 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_152 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 19 2009 2 15 04 168-176 |
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Enthalten in Chinese geographical science 19(2009), 2 vom: 15. Apr., Seite 168-176 volume:19 year:2009 number:2 day:15 month:04 pages:168-176 |
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Enthalten in Chinese geographical science 19(2009), 2 vom: 15. Apr., Seite 168-176 volume:19 year:2009 number:2 day:15 month:04 pages:168-176 |
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Tang, Jie @@aut@@ Wang, Chenye @@aut@@ Lin, Nianfeng @@aut@@ Li, Zhaoyang @@aut@@ Li, Haiyi @@aut@@ Mao, Zilong @@aut@@ |
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Soil organic matter (SOM), total N (TN), total P (TP), total K (TK), available N (AN), available P (AP) and available K (AK) were chosen as the evaluation factors. A regional soil nutrient evaluation model was developed based on the matter-element model. The results show that the soil samples with nutrient grade II–V respectively account for 10%, 30%, 32.5% and 27.5%, and those with grade IV and V account for 60% in all samples. The relationship between soil nutrients and land types indicates that the nutrients of farmland are relatively good, with 41.7% of soil samples with the nutrient grade IV and V. The nutrients of saline-alkali land and sandy land are the worst, with 100% of soil samples with the nutrient grade IV and V. And the ratios of soil samples grade IV and V in grassland and wasteland are respectively 62.5 % and 54.55%. Generally speaking, the soil nutrients status in Da’an City is poor, 60% of soil samples are in poor and extremely poor conditions, indicating that the soil has been severely eroded. 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| author |
Tang, Jie |
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Tang, Jie misc soil nutrient evaluation misc matter-element model misc extension engineering theory misc ecological fragile region Application of matter-element model in soil nutrient evaluation of ecological fragile region |
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Application of matter-element model in soil nutrient evaluation of ecological fragile region soil nutrient evaluation (dpeaa)DE-He213 matter-element model (dpeaa)DE-He213 extension engineering theory (dpeaa)DE-He213 ecological fragile region (dpeaa)DE-He213 |
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Application of matter-element model in soil nutrient evaluation of ecological fragile region |
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Chinese geographical science |
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Tang, Jie Wang, Chenye Lin, Nianfeng Li, Zhaoyang Li, Haiyi Mao, Zilong |
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application of matter-element model in soil nutrient evaluation of ecological fragile region |
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Application of matter-element model in soil nutrient evaluation of ecological fragile region |
| abstract |
Abstract On the basis of the soil environment investigation in Da’an City, Jilin Province, China, 40 soil samples from main land use types were obtained and tested by standard method. Soil organic matter (SOM), total N (TN), total P (TP), total K (TK), available N (AN), available P (AP) and available K (AK) were chosen as the evaluation factors. A regional soil nutrient evaluation model was developed based on the matter-element model. The results show that the soil samples with nutrient grade II–V respectively account for 10%, 30%, 32.5% and 27.5%, and those with grade IV and V account for 60% in all samples. The relationship between soil nutrients and land types indicates that the nutrients of farmland are relatively good, with 41.7% of soil samples with the nutrient grade IV and V. The nutrients of saline-alkali land and sandy land are the worst, with 100% of soil samples with the nutrient grade IV and V. And the ratios of soil samples grade IV and V in grassland and wasteland are respectively 62.5 % and 54.55%. Generally speaking, the soil nutrients status in Da’an City is poor, 60% of soil samples are in poor and extremely poor conditions, indicating that the soil has been severely eroded. Being a relatively superior evaluation method with more accurate results and spatial distribution consistency, matter-element analysis is more suitable for regional soil nutrient evaluation than previous models. © Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag GmbH 2009 |
| abstractGer |
Abstract On the basis of the soil environment investigation in Da’an City, Jilin Province, China, 40 soil samples from main land use types were obtained and tested by standard method. Soil organic matter (SOM), total N (TN), total P (TP), total K (TK), available N (AN), available P (AP) and available K (AK) were chosen as the evaluation factors. A regional soil nutrient evaluation model was developed based on the matter-element model. The results show that the soil samples with nutrient grade II–V respectively account for 10%, 30%, 32.5% and 27.5%, and those with grade IV and V account for 60% in all samples. The relationship between soil nutrients and land types indicates that the nutrients of farmland are relatively good, with 41.7% of soil samples with the nutrient grade IV and V. The nutrients of saline-alkali land and sandy land are the worst, with 100% of soil samples with the nutrient grade IV and V. And the ratios of soil samples grade IV and V in grassland and wasteland are respectively 62.5 % and 54.55%. Generally speaking, the soil nutrients status in Da’an City is poor, 60% of soil samples are in poor and extremely poor conditions, indicating that the soil has been severely eroded. Being a relatively superior evaluation method with more accurate results and spatial distribution consistency, matter-element analysis is more suitable for regional soil nutrient evaluation than previous models. © Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag GmbH 2009 |
| abstract_unstemmed |
Abstract On the basis of the soil environment investigation in Da’an City, Jilin Province, China, 40 soil samples from main land use types were obtained and tested by standard method. Soil organic matter (SOM), total N (TN), total P (TP), total K (TK), available N (AN), available P (AP) and available K (AK) were chosen as the evaluation factors. A regional soil nutrient evaluation model was developed based on the matter-element model. The results show that the soil samples with nutrient grade II–V respectively account for 10%, 30%, 32.5% and 27.5%, and those with grade IV and V account for 60% in all samples. The relationship between soil nutrients and land types indicates that the nutrients of farmland are relatively good, with 41.7% of soil samples with the nutrient grade IV and V. The nutrients of saline-alkali land and sandy land are the worst, with 100% of soil samples with the nutrient grade IV and V. And the ratios of soil samples grade IV and V in grassland and wasteland are respectively 62.5 % and 54.55%. Generally speaking, the soil nutrients status in Da’an City is poor, 60% of soil samples are in poor and extremely poor conditions, indicating that the soil has been severely eroded. Being a relatively superior evaluation method with more accurate results and spatial distribution consistency, matter-element analysis is more suitable for regional soil nutrient evaluation than previous models. © Science Press, Northeast Institute of Geography and Agricultural Ecology, CAS and Springer-Verlag GmbH 2009 |
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Application of matter-element model in soil nutrient evaluation of ecological fragile region |
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https://dx.doi.org/10.1007/s11769-009-0168-z |
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Wang, Chenye Lin, Nianfeng Li, Zhaoyang Li, Haiyi Mao, Zilong |
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Wang, Chenye Lin, Nianfeng Li, Zhaoyang Li, Haiyi Mao, Zilong |
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10.1007/s11769-009-0168-z |
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2024-07-04T02:39:36.979Z |
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| score |
7.402733 |