The Experts below are selected from a list of 28293 Experts worldwide ranked by ideXlab platform
Thomas Blaschke - One of the best experts on this subject based on the ideXlab platform.
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Land Suitability analysis for tabriz county iran a multi criteria evaluation approach using gis
Journal of Environmental Planning and Management, 2013Co-Authors: Bakhtiar Feizizadeh, Thomas BlaschkeAbstract:In our research we investigated the optimal utilization of Land resources for agricultural production in Tabriz County, Iran. A GIS-based Multi Criteria Decision Making Land Suitability analysis was performed. Hereby, several Suitability factors including soils, climatic conditions, and water availability were evaluated, based on expert knowledge from stakeholders at various levels. An Analytical Hierarchical Process was used to rank the various Suitability factors and the resulting weights were used to construct the Suitability map layers. In doing so, the derived weights were used, and subsequently Land Suitability maps for irrigated and dry-farm agriculture were created. Finally, a synthesized Land Suitability map was generated by combining these maps and by comparing the product with current Land use SPOT 5 satellite images. The resulting Suitability maps indicate the areas, in which the intensity of Land use for agriculture should increase, decrease or remain unchanged. Our investigations have revealed that 65676 hectares may be suitable for irrigation and 120872 hectares may be suitable for dry-farm agriculture. This indicates a substantial potential to satisfy the significantly increasing regional demand for agricultural products. The results of our research have been provided to the regional authorities and will be used in strategic Land use planning.
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Land Suitability analysis for tabriz county iran a multi criteria evaluation approach using gis
Journal of Environmental Planning and Management, 2013Co-Authors: Bakhtiar Feizizadeh, Thomas BlaschkeAbstract:In our research we investigated the optimal utilization of Land resources for agricultural production in Tabriz County, Iran. A GIS-based Multi Criteria Decision Making Land Suitability analysis was performed. Hereby, several Suitability factors including soils, climatic conditions, and water availability were evaluated, based on expert knowledge from stakeholders at various levels. An Analytical Hierarchical Process was used to rank the various Suitability factors and the resulting weights were used to construct the Suitability map layers. In doing so, the derived weights were used, and subsequently Land Suitability maps for irrigated and dry-farm agriculture were created. Finally, a synthesized Land Suitability map was generated by combining these maps and by comparing the product with current Land use SPOT 5 satellite images. The resulting Suitability maps indicate the areas, in which the intensity of Land use for agriculture should increase, decrease or remain unchanged. Our investigations have reveal...
Bakhtiar Feizizadeh - One of the best experts on this subject based on the ideXlab platform.
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Land Suitability analysis for tabriz county iran a multi criteria evaluation approach using gis
Journal of Environmental Planning and Management, 2013Co-Authors: Bakhtiar Feizizadeh, Thomas BlaschkeAbstract:In our research we investigated the optimal utilization of Land resources for agricultural production in Tabriz County, Iran. A GIS-based Multi Criteria Decision Making Land Suitability analysis was performed. Hereby, several Suitability factors including soils, climatic conditions, and water availability were evaluated, based on expert knowledge from stakeholders at various levels. An Analytical Hierarchical Process was used to rank the various Suitability factors and the resulting weights were used to construct the Suitability map layers. In doing so, the derived weights were used, and subsequently Land Suitability maps for irrigated and dry-farm agriculture were created. Finally, a synthesized Land Suitability map was generated by combining these maps and by comparing the product with current Land use SPOT 5 satellite images. The resulting Suitability maps indicate the areas, in which the intensity of Land use for agriculture should increase, decrease or remain unchanged. Our investigations have revealed that 65676 hectares may be suitable for irrigation and 120872 hectares may be suitable for dry-farm agriculture. This indicates a substantial potential to satisfy the significantly increasing regional demand for agricultural products. The results of our research have been provided to the regional authorities and will be used in strategic Land use planning.
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Land Suitability analysis for tabriz county iran a multi criteria evaluation approach using gis
Journal of Environmental Planning and Management, 2013Co-Authors: Bakhtiar Feizizadeh, Thomas BlaschkeAbstract:In our research we investigated the optimal utilization of Land resources for agricultural production in Tabriz County, Iran. A GIS-based Multi Criteria Decision Making Land Suitability analysis was performed. Hereby, several Suitability factors including soils, climatic conditions, and water availability were evaluated, based on expert knowledge from stakeholders at various levels. An Analytical Hierarchical Process was used to rank the various Suitability factors and the resulting weights were used to construct the Suitability map layers. In doing so, the derived weights were used, and subsequently Land Suitability maps for irrigated and dry-farm agriculture were created. Finally, a synthesized Land Suitability map was generated by combining these maps and by comparing the product with current Land use SPOT 5 satellite images. The resulting Suitability maps indicate the areas, in which the intensity of Land use for agriculture should increase, decrease or remain unchanged. Our investigations have reveal...
Komlavi Akpoti - One of the best experts on this subject based on the ideXlab platform.
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agricultural Land Suitability analysis state of the art and outlooks for integration of climate change analysis
Agricultural Systems, 2019Co-Authors: Komlavi Akpoti, Amos T Kabobah, Sander J ZwartAbstract:Abstract Agricultural Land Suitability analysis (ALSA) for crop production is one of the key tools for ensuring sustainable agriculture and for attaining the current global food security goal in line with the Sustainability Development Goals (SDGs) of United Nations. Although some review studies addressed Land Suitability, few of them specifically focused on Land Suitability analysis for agriculture. Furthermore, previous reviews have not reflected on the impact of climate change on future Land Suitability and how this can be addressed or integrated into ALSA methods. In the context of global environmental changes and sustainable agriculture debate, we showed from the current review that ALSA is a worldwide Land use planning approach. We reported from the reviewed articles 69 frequently used factors in ALSA. These factors were further categorized in climatic conditions (16), nutrients and favorable soils (34 of soil and Landscape), water availability in the root zone (8 for hydrology and irrigation) and socio-economic and technical requirements (11). Also, in getting a complete view of crop’s ecosystems and factors that can explain and improve yield, inherent local socio-economic factors should be considered. We showed that this aspect has been often omitted in most of the ALSA modeling with only 38% of the total reviewed article using socio-economic factors. Also, only 30% of the studies included uncertainty and sensitivity analysis in their modeling process. We found limited inclusions of climate change in the application of the ALSA. We emphasize that incorporating current and future climate change projections in ALSA is the way forward for sustainable or optimum agriculture and food security. To this end, qualitative and quantitative approaches must be integrated into a unique ALSA system (Hybrid Land Evaluation System - HLES) to improve the Land evaluation approach.
Sander J Zwart - One of the best experts on this subject based on the ideXlab platform.
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agricultural Land Suitability analysis state of the art and outlooks for integration of climate change analysis
Agricultural Systems, 2019Co-Authors: Komlavi Akpoti, Amos T Kabobah, Sander J ZwartAbstract:Abstract Agricultural Land Suitability analysis (ALSA) for crop production is one of the key tools for ensuring sustainable agriculture and for attaining the current global food security goal in line with the Sustainability Development Goals (SDGs) of United Nations. Although some review studies addressed Land Suitability, few of them specifically focused on Land Suitability analysis for agriculture. Furthermore, previous reviews have not reflected on the impact of climate change on future Land Suitability and how this can be addressed or integrated into ALSA methods. In the context of global environmental changes and sustainable agriculture debate, we showed from the current review that ALSA is a worldwide Land use planning approach. We reported from the reviewed articles 69 frequently used factors in ALSA. These factors were further categorized in climatic conditions (16), nutrients and favorable soils (34 of soil and Landscape), water availability in the root zone (8 for hydrology and irrigation) and socio-economic and technical requirements (11). Also, in getting a complete view of crop’s ecosystems and factors that can explain and improve yield, inherent local socio-economic factors should be considered. We showed that this aspect has been often omitted in most of the ALSA modeling with only 38% of the total reviewed article using socio-economic factors. Also, only 30% of the studies included uncertainty and sensitivity analysis in their modeling process. We found limited inclusions of climate change in the application of the ALSA. We emphasize that incorporating current and future climate change projections in ALSA is the way forward for sustainable or optimum agriculture and food security. To this end, qualitative and quantitative approaches must be integrated into a unique ALSA system (Hybrid Land Evaluation System - HLES) to improve the Land evaluation approach.
Pooya Azadi - One of the best experts on this subject based on the ideXlab platform.
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iran s Land Suitability for agriculture
Scientific Reports, 2017Co-Authors: Mohsen B Mesgaran, Kaveh Madani, Hossein Hashemi, Pooya AzadiAbstract:Increasing population has posed insurmountable challenges to agriculture in the provision of future food security, particularly in the Middle East and North Africa (MENA) region where biophysical conditions are not well-suited for agriculture. Iran, as a major agricultural country in the MENA region, has long been in the quest for food self-sufficiency, however, the capability of its Land and water resources to realize this goal is largely unknown. Using very high-resolution spatial data sets, we evaluated the capacity of Iran's Land for sustainable crop production based on the soil properties, topography, and climate conditions. We classified Iran's Land Suitability for cropping as (million ha): very good 0.4% (0.6), good 2.2% (3.6), medium 7.9% (12.8), poor 11.4% (18.5), very poor 6.3% (10.2), unsuitable 60.0% (97.4), and excluded areas 11.9% (19.3). In addition to overarching limitations caused by low precipitation, low soil organic carbon, steep slope, and high soil sodium content were the predominant soil and terrain factors limiting the agricultural Land Suitability in Iran. About 50% of the Iran's existing cropLands are located in low-quality Lands, representing an unsustainable practice. There is little room for cropLand expansion to increase production but redistribution of cropLand to more suitable areas may improve sustainability and reduce pressure on water resources, Land, and ecosystem in Iran.
