In highly-biodiverse tropical landscapes, multiple-objective optimization reveals opportunities for increasing both conservation and agricultural production
In humid tropics, small and medium farming systems are important for producing food but also because they retain rainforest patches with high conservation value. Forest conservation and agricultural production strongly compete for land in Tropical Farming Systems (TFS). Finding solutions that synerg...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wies, Germán [verfasserIn] Groot, Jeroen C.J. [verfasserIn] Martinez-Ramos, Miguel [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Ecological modelling - Amsterdam [u.a.] : Elsevier Science, 1975, 483 |
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| Übergeordnetes Werk: |
volume:483 |
| DOI / URN: |
10.1016/j.ecolmodel.2023.110435 |
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| Katalog-ID: |
ELV060579781 |
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| 245 | 1 | 0 | |a In highly-biodiverse tropical landscapes, multiple-objective optimization reveals opportunities for increasing both conservation and agricultural production |
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| 520 | |a In humid tropics, small and medium farming systems are important for producing food but also because they retain rainforest patches with high conservation value. Forest conservation and agricultural production strongly compete for land in Tropical Farming Systems (TFS). Finding solutions that synergize increasing conservation areas and agricultural production is an issue that has yet to be resolved in human-modified tropical landscapes. Achieving this objective requires analyzing how farms could be reorganized to relieve the pressure for production on the land. Pareto-based genetic algorithms that produce a set of solutions that satisfy apparently opposed objectives may tackle multi-objective problems. We explored trade-offs and synergies to increase the profits by sustainable intensification and maintain or increase rainforest areas in five TFS. There was a strong trade-off between conservation and economic profits in all TFS. However, depending on the total farming area, initial configurations and the amount of external inputs used, TFS showed low (two out of five) or high (three out of five) potential to increase forest conservation and profits. In low potential areas, the expansion of conservation areas and profits was only possible by increasing external inputs, primarily due to the limiting farming area and intensification status in those areas. In contrast, in high potential areas it was possible to increase conservation areas and profits through sustainable intensification practices, such as increasing maize silage, changing high for low use-pesticides crops but also reducing variable costs by minimizing cost-supply uses or external feeds. Alternative management and resource allocation options were specific for each TFS. The multi-objective simulation yielded novel results showing that it is possible to overcome the conservation-production antagonism (a regional-global scale issue) by adjusting management at farm (local) scale. | ||
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| 700 | 1 | |a Martinez-Ramos, Miguel |e verfasserin |4 aut | |
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10.1016/j.ecolmodel.2023.110435 doi (DE-627)ELV060579781 (ELSEVIER)S0304-3800(23)00166-7 DE-627 ger DE-627 rda eng 570 VZ BIODIV DE-30 fid 42.90 bkl Wies, Germán verfasserin (orcid)0000-0001-9030-4750 aut In highly-biodiverse tropical landscapes, multiple-objective optimization reveals opportunities for increasing both conservation and agricultural production 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In humid tropics, small and medium farming systems are important for producing food but also because they retain rainforest patches with high conservation value. Forest conservation and agricultural production strongly compete for land in Tropical Farming Systems (TFS). Finding solutions that synergize increasing conservation areas and agricultural production is an issue that has yet to be resolved in human-modified tropical landscapes. Achieving this objective requires analyzing how farms could be reorganized to relieve the pressure for production on the land. Pareto-based genetic algorithms that produce a set of solutions that satisfy apparently opposed objectives may tackle multi-objective problems. We explored trade-offs and synergies to increase the profits by sustainable intensification and maintain or increase rainforest areas in five TFS. There was a strong trade-off between conservation and economic profits in all TFS. However, depending on the total farming area, initial configurations and the amount of external inputs used, TFS showed low (two out of five) or high (three out of five) potential to increase forest conservation and profits. In low potential areas, the expansion of conservation areas and profits was only possible by increasing external inputs, primarily due to the limiting farming area and intensification status in those areas. In contrast, in high potential areas it was possible to increase conservation areas and profits through sustainable intensification practices, such as increasing maize silage, changing high for low use-pesticides crops but also reducing variable costs by minimizing cost-supply uses or external feeds. Alternative management and resource allocation options were specific for each TFS. The multi-objective simulation yielded novel results showing that it is possible to overcome the conservation-production antagonism (a regional-global scale issue) by adjusting management at farm (local) scale. Agronomy landscapes Simulation models Multifunctional landscapes Agriculture-driven deforestation Groot, Jeroen C.J. verfasserin aut Martinez-Ramos, Miguel verfasserin aut Enthalten in Ecological modelling Amsterdam [u.a.] : Elsevier Science, 1975 483 Online-Ressource (DE-627)320407543 (DE-600)2000879-X (DE-576)094752540 0304-3800 nnns volume:483 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4338 GBV_ILN_4393 GBV_ILN_4700 42.90 Ökologie: Allgemeines VZ AR 483 |
| spelling |
10.1016/j.ecolmodel.2023.110435 doi (DE-627)ELV060579781 (ELSEVIER)S0304-3800(23)00166-7 DE-627 ger DE-627 rda eng 570 VZ BIODIV DE-30 fid 42.90 bkl Wies, Germán verfasserin (orcid)0000-0001-9030-4750 aut In highly-biodiverse tropical landscapes, multiple-objective optimization reveals opportunities for increasing both conservation and agricultural production 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In humid tropics, small and medium farming systems are important for producing food but also because they retain rainforest patches with high conservation value. Forest conservation and agricultural production strongly compete for land in Tropical Farming Systems (TFS). Finding solutions that synergize increasing conservation areas and agricultural production is an issue that has yet to be resolved in human-modified tropical landscapes. Achieving this objective requires analyzing how farms could be reorganized to relieve the pressure for production on the land. Pareto-based genetic algorithms that produce a set of solutions that satisfy apparently opposed objectives may tackle multi-objective problems. We explored trade-offs and synergies to increase the profits by sustainable intensification and maintain or increase rainforest areas in five TFS. There was a strong trade-off between conservation and economic profits in all TFS. However, depending on the total farming area, initial configurations and the amount of external inputs used, TFS showed low (two out of five) or high (three out of five) potential to increase forest conservation and profits. In low potential areas, the expansion of conservation areas and profits was only possible by increasing external inputs, primarily due to the limiting farming area and intensification status in those areas. In contrast, in high potential areas it was possible to increase conservation areas and profits through sustainable intensification practices, such as increasing maize silage, changing high for low use-pesticides crops but also reducing variable costs by minimizing cost-supply uses or external feeds. Alternative management and resource allocation options were specific for each TFS. The multi-objective simulation yielded novel results showing that it is possible to overcome the conservation-production antagonism (a regional-global scale issue) by adjusting management at farm (local) scale. Agronomy landscapes Simulation models Multifunctional landscapes Agriculture-driven deforestation Groot, Jeroen C.J. verfasserin aut Martinez-Ramos, Miguel verfasserin aut Enthalten in Ecological modelling Amsterdam [u.a.] : Elsevier Science, 1975 483 Online-Ressource (DE-627)320407543 (DE-600)2000879-X (DE-576)094752540 0304-3800 nnns volume:483 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4338 GBV_ILN_4393 GBV_ILN_4700 42.90 Ökologie: Allgemeines VZ AR 483 |
| allfields_unstemmed |
10.1016/j.ecolmodel.2023.110435 doi (DE-627)ELV060579781 (ELSEVIER)S0304-3800(23)00166-7 DE-627 ger DE-627 rda eng 570 VZ BIODIV DE-30 fid 42.90 bkl Wies, Germán verfasserin (orcid)0000-0001-9030-4750 aut In highly-biodiverse tropical landscapes, multiple-objective optimization reveals opportunities for increasing both conservation and agricultural production 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In humid tropics, small and medium farming systems are important for producing food but also because they retain rainforest patches with high conservation value. Forest conservation and agricultural production strongly compete for land in Tropical Farming Systems (TFS). Finding solutions that synergize increasing conservation areas and agricultural production is an issue that has yet to be resolved in human-modified tropical landscapes. Achieving this objective requires analyzing how farms could be reorganized to relieve the pressure for production on the land. Pareto-based genetic algorithms that produce a set of solutions that satisfy apparently opposed objectives may tackle multi-objective problems. We explored trade-offs and synergies to increase the profits by sustainable intensification and maintain or increase rainforest areas in five TFS. There was a strong trade-off between conservation and economic profits in all TFS. However, depending on the total farming area, initial configurations and the amount of external inputs used, TFS showed low (two out of five) or high (three out of five) potential to increase forest conservation and profits. In low potential areas, the expansion of conservation areas and profits was only possible by increasing external inputs, primarily due to the limiting farming area and intensification status in those areas. In contrast, in high potential areas it was possible to increase conservation areas and profits through sustainable intensification practices, such as increasing maize silage, changing high for low use-pesticides crops but also reducing variable costs by minimizing cost-supply uses or external feeds. Alternative management and resource allocation options were specific for each TFS. The multi-objective simulation yielded novel results showing that it is possible to overcome the conservation-production antagonism (a regional-global scale issue) by adjusting management at farm (local) scale. Agronomy landscapes Simulation models Multifunctional landscapes Agriculture-driven deforestation Groot, Jeroen C.J. verfasserin aut Martinez-Ramos, Miguel verfasserin aut Enthalten in Ecological modelling Amsterdam [u.a.] : Elsevier Science, 1975 483 Online-Ressource (DE-627)320407543 (DE-600)2000879-X (DE-576)094752540 0304-3800 nnns volume:483 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4338 GBV_ILN_4393 GBV_ILN_4700 42.90 Ökologie: Allgemeines VZ AR 483 |
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10.1016/j.ecolmodel.2023.110435 doi (DE-627)ELV060579781 (ELSEVIER)S0304-3800(23)00166-7 DE-627 ger DE-627 rda eng 570 VZ BIODIV DE-30 fid 42.90 bkl Wies, Germán verfasserin (orcid)0000-0001-9030-4750 aut In highly-biodiverse tropical landscapes, multiple-objective optimization reveals opportunities for increasing both conservation and agricultural production 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In humid tropics, small and medium farming systems are important for producing food but also because they retain rainforest patches with high conservation value. Forest conservation and agricultural production strongly compete for land in Tropical Farming Systems (TFS). Finding solutions that synergize increasing conservation areas and agricultural production is an issue that has yet to be resolved in human-modified tropical landscapes. Achieving this objective requires analyzing how farms could be reorganized to relieve the pressure for production on the land. Pareto-based genetic algorithms that produce a set of solutions that satisfy apparently opposed objectives may tackle multi-objective problems. We explored trade-offs and synergies to increase the profits by sustainable intensification and maintain or increase rainforest areas in five TFS. There was a strong trade-off between conservation and economic profits in all TFS. However, depending on the total farming area, initial configurations and the amount of external inputs used, TFS showed low (two out of five) or high (three out of five) potential to increase forest conservation and profits. In low potential areas, the expansion of conservation areas and profits was only possible by increasing external inputs, primarily due to the limiting farming area and intensification status in those areas. In contrast, in high potential areas it was possible to increase conservation areas and profits through sustainable intensification practices, such as increasing maize silage, changing high for low use-pesticides crops but also reducing variable costs by minimizing cost-supply uses or external feeds. Alternative management and resource allocation options were specific for each TFS. The multi-objective simulation yielded novel results showing that it is possible to overcome the conservation-production antagonism (a regional-global scale issue) by adjusting management at farm (local) scale. Agronomy landscapes Simulation models Multifunctional landscapes Agriculture-driven deforestation Groot, Jeroen C.J. verfasserin aut Martinez-Ramos, Miguel verfasserin aut Enthalten in Ecological modelling Amsterdam [u.a.] : Elsevier Science, 1975 483 Online-Ressource (DE-627)320407543 (DE-600)2000879-X (DE-576)094752540 0304-3800 nnns volume:483 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4338 GBV_ILN_4393 GBV_ILN_4700 42.90 Ökologie: Allgemeines VZ AR 483 |
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10.1016/j.ecolmodel.2023.110435 doi (DE-627)ELV060579781 (ELSEVIER)S0304-3800(23)00166-7 DE-627 ger DE-627 rda eng 570 VZ BIODIV DE-30 fid 42.90 bkl Wies, Germán verfasserin (orcid)0000-0001-9030-4750 aut In highly-biodiverse tropical landscapes, multiple-objective optimization reveals opportunities for increasing both conservation and agricultural production 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In humid tropics, small and medium farming systems are important for producing food but also because they retain rainforest patches with high conservation value. Forest conservation and agricultural production strongly compete for land in Tropical Farming Systems (TFS). Finding solutions that synergize increasing conservation areas and agricultural production is an issue that has yet to be resolved in human-modified tropical landscapes. Achieving this objective requires analyzing how farms could be reorganized to relieve the pressure for production on the land. Pareto-based genetic algorithms that produce a set of solutions that satisfy apparently opposed objectives may tackle multi-objective problems. We explored trade-offs and synergies to increase the profits by sustainable intensification and maintain or increase rainforest areas in five TFS. There was a strong trade-off between conservation and economic profits in all TFS. However, depending on the total farming area, initial configurations and the amount of external inputs used, TFS showed low (two out of five) or high (three out of five) potential to increase forest conservation and profits. In low potential areas, the expansion of conservation areas and profits was only possible by increasing external inputs, primarily due to the limiting farming area and intensification status in those areas. In contrast, in high potential areas it was possible to increase conservation areas and profits through sustainable intensification practices, such as increasing maize silage, changing high for low use-pesticides crops but also reducing variable costs by minimizing cost-supply uses or external feeds. Alternative management and resource allocation options were specific for each TFS. The multi-objective simulation yielded novel results showing that it is possible to overcome the conservation-production antagonism (a regional-global scale issue) by adjusting management at farm (local) scale. Agronomy landscapes Simulation models Multifunctional landscapes Agriculture-driven deforestation Groot, Jeroen C.J. verfasserin aut Martinez-Ramos, Miguel verfasserin aut Enthalten in Ecological modelling Amsterdam [u.a.] : Elsevier Science, 1975 483 Online-Ressource (DE-627)320407543 (DE-600)2000879-X (DE-576)094752540 0304-3800 nnns volume:483 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4338 GBV_ILN_4393 GBV_ILN_4700 42.90 Ökologie: Allgemeines VZ AR 483 |
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Wies, Germán ddc 570 fid BIODIV bkl 42.90 misc Agronomy landscapes misc Simulation models misc Multifunctional landscapes misc Agriculture-driven deforestation In highly-biodiverse tropical landscapes, multiple-objective optimization reveals opportunities for increasing both conservation and agricultural production |
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570 VZ BIODIV DE-30 fid 42.90 bkl In highly-biodiverse tropical landscapes, multiple-objective optimization reveals opportunities for increasing both conservation and agricultural production Agronomy landscapes Simulation models Multifunctional landscapes Agriculture-driven deforestation |
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in highly-biodiverse tropical landscapes, multiple-objective optimization reveals opportunities for increasing both conservation and agricultural production |
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In highly-biodiverse tropical landscapes, multiple-objective optimization reveals opportunities for increasing both conservation and agricultural production |
| abstract |
In humid tropics, small and medium farming systems are important for producing food but also because they retain rainforest patches with high conservation value. Forest conservation and agricultural production strongly compete for land in Tropical Farming Systems (TFS). Finding solutions that synergize increasing conservation areas and agricultural production is an issue that has yet to be resolved in human-modified tropical landscapes. Achieving this objective requires analyzing how farms could be reorganized to relieve the pressure for production on the land. Pareto-based genetic algorithms that produce a set of solutions that satisfy apparently opposed objectives may tackle multi-objective problems. We explored trade-offs and synergies to increase the profits by sustainable intensification and maintain or increase rainforest areas in five TFS. There was a strong trade-off between conservation and economic profits in all TFS. However, depending on the total farming area, initial configurations and the amount of external inputs used, TFS showed low (two out of five) or high (three out of five) potential to increase forest conservation and profits. In low potential areas, the expansion of conservation areas and profits was only possible by increasing external inputs, primarily due to the limiting farming area and intensification status in those areas. In contrast, in high potential areas it was possible to increase conservation areas and profits through sustainable intensification practices, such as increasing maize silage, changing high for low use-pesticides crops but also reducing variable costs by minimizing cost-supply uses or external feeds. Alternative management and resource allocation options were specific for each TFS. The multi-objective simulation yielded novel results showing that it is possible to overcome the conservation-production antagonism (a regional-global scale issue) by adjusting management at farm (local) scale. |
| abstractGer |
In humid tropics, small and medium farming systems are important for producing food but also because they retain rainforest patches with high conservation value. Forest conservation and agricultural production strongly compete for land in Tropical Farming Systems (TFS). Finding solutions that synergize increasing conservation areas and agricultural production is an issue that has yet to be resolved in human-modified tropical landscapes. Achieving this objective requires analyzing how farms could be reorganized to relieve the pressure for production on the land. Pareto-based genetic algorithms that produce a set of solutions that satisfy apparently opposed objectives may tackle multi-objective problems. We explored trade-offs and synergies to increase the profits by sustainable intensification and maintain or increase rainforest areas in five TFS. There was a strong trade-off between conservation and economic profits in all TFS. However, depending on the total farming area, initial configurations and the amount of external inputs used, TFS showed low (two out of five) or high (three out of five) potential to increase forest conservation and profits. In low potential areas, the expansion of conservation areas and profits was only possible by increasing external inputs, primarily due to the limiting farming area and intensification status in those areas. In contrast, in high potential areas it was possible to increase conservation areas and profits through sustainable intensification practices, such as increasing maize silage, changing high for low use-pesticides crops but also reducing variable costs by minimizing cost-supply uses or external feeds. Alternative management and resource allocation options were specific for each TFS. The multi-objective simulation yielded novel results showing that it is possible to overcome the conservation-production antagonism (a regional-global scale issue) by adjusting management at farm (local) scale. |
| abstract_unstemmed |
In humid tropics, small and medium farming systems are important for producing food but also because they retain rainforest patches with high conservation value. Forest conservation and agricultural production strongly compete for land in Tropical Farming Systems (TFS). Finding solutions that synergize increasing conservation areas and agricultural production is an issue that has yet to be resolved in human-modified tropical landscapes. Achieving this objective requires analyzing how farms could be reorganized to relieve the pressure for production on the land. Pareto-based genetic algorithms that produce a set of solutions that satisfy apparently opposed objectives may tackle multi-objective problems. We explored trade-offs and synergies to increase the profits by sustainable intensification and maintain or increase rainforest areas in five TFS. There was a strong trade-off between conservation and economic profits in all TFS. However, depending on the total farming area, initial configurations and the amount of external inputs used, TFS showed low (two out of five) or high (three out of five) potential to increase forest conservation and profits. In low potential areas, the expansion of conservation areas and profits was only possible by increasing external inputs, primarily due to the limiting farming area and intensification status in those areas. In contrast, in high potential areas it was possible to increase conservation areas and profits through sustainable intensification practices, such as increasing maize silage, changing high for low use-pesticides crops but also reducing variable costs by minimizing cost-supply uses or external feeds. Alternative management and resource allocation options were specific for each TFS. The multi-objective simulation yielded novel results showing that it is possible to overcome the conservation-production antagonism (a regional-global scale issue) by adjusting management at farm (local) scale. |
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In highly-biodiverse tropical landscapes, multiple-objective optimization reveals opportunities for increasing both conservation and agricultural production |
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| score |
7.400141 |