globalchange  > 过去全球变化的重建
DOI: 10.1016/j.agsy.2019.02.013
WOS记录号: WOS:000467661800015
论文题名:
Agricultural land suitability analysis: State-of-the-art and outlooks for integration of climate change analysis
作者: Akpoti, Komlavi1,2; Kabo-bah, Amos T.2; Zwart, Sander J.3
通讯作者: Akpoti, Komlavi
刊名: AGRICULTURAL SYSTEMS
ISSN: 0308-521X
EISSN: 1873-2267
出版年: 2019
卷: 173, 页码:172-208
语种: 英语
英文关键词: Agriculture ; Land suitability analysis ; Climate change ; Multi-criteria evaluation ; Machine learning ; Predictors
WOS关键词: MULTICRITERIA DECISION-ANALYSIS ; GEOGRAPHIC INFORMATION-SYSTEMS ; ARTIFICIAL NEURAL-NETWORKS ; SATIVUS L. CULTIVATION ; SUPPORT-SYSTEMS ; WHEAT CULTIVATION ; FUZZY-LOGIC ; SUSTAINABLE INTENSIFICATION ; QUALITATIVE EVALUATION ; SENSITIVITY-ANALYSIS
WOS学科分类: Agriculture, Multidisciplinary
WOS研究方向: Agriculture
英文摘要:

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.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/140737
Appears in Collections:过去全球变化的重建

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作者单位: 1.Africa Rice Ctr AfricaRice, Bouake, Cote Ivoire
2.UENR, Energy & Environm Engn Dept, Sunyani, Ghana
3.IWMI, Accra, Ghana

Recommended Citation:
Akpoti, Komlavi,Kabo-bah, Amos T.,Zwart, Sander J.. Agricultural land suitability analysis: State-of-the-art and outlooks for integration of climate change analysis[J]. AGRICULTURAL SYSTEMS,2019-01-01,173:172-208
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