Land suitability projections for traditional sub-alpine cropping in the Australian Alps and Chilean Dry Andes. A combined biophysical and irrigation potential perspective

Cornwell, E.; Sposito, Victor; Faggian, Robert

doi:10.1016/j.apgeog.2020.102248

Cited by 7 publications

(3 citation statements)

References 47 publications

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“…Lawrence et al, [39] developed a hybrid process was developed to address deep uncertainties in CCA by combing Dynamic Adaptive Pathways (DAP) and Real Option Analysis (ROA). Likewise, Nigussie et al, [40] applied another method of MCA called Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE II), Batisha [37] applied Fuzzy Decision Making Technique (DMT) and Varela-ortega et al, [41] integrated economic hydrologic modelling on agriculture and water sectors with MCA or land suitability projections for climate change adaptation, whereas, Cornwell et al, [42] adopted GIS based MCA with fuzzy membership technique.…”

Section: Shortlisted Case Studies Based On Methodological Approachmentioning

confidence: 99%

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Decision-making in climate change adaptation through a cross-sectoral approach: review

Lamichhane

Zaki

Okiria

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Climate change adaptation (CCA) is an emerging topic in recent years since global temperature is continuing to rise and posing threats to natural biodiversity and human life. Its diverse nature requires efforts from a broad range of sectors to cope or adjust. This review paper aims to systematically study the cross-sectoral approaches in CCA decision making and develop probable strengths and shortcomings of those approaches. Literatures concerned with Multi-Criteria Decision-Making Method, or Multi-Criteria Analysis (MCA) are reviewed since it is considered as a holistic approach to integrate multiple sectors and combine monetary and non-monetary terms prevailing in sectoral and regional aspects, mainly in agriculture and water resource management. The literatures were searched through Scopus and PRISMA method was adopted to systematically refine the published articles based on our criteria. Out of 383 articles discovered, 139 were related to CCA out of which, 33 articles which applied MCA as their methodological approach were shortlisted for the core study. The result showed that MCA is extensively used in CCA decision making, prioritizing options, and formulating adaptation strategies at local and regional scale and considered as a flexible, transparent, and effective method because of an active engagement of stakeholders and experts’ judgement. But its inability to address the underlying uncertainties of climate change scenario is one of the major drawbacks seen. Thus, many literatures suggest incorporating Sensitivity analysis, Dynamic Adaptive Pathways, Real Option Analysis, or Robust Decision-Making Analysis with MCA to overcome those deep uncertainties.

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Section: Shortlisted Case Studies Based On Methodological Approachmentioning

confidence: 99%

“…MCA ,GIS,RS,AHP (n=3) [37][19] [38] Economic, hydrologic modelling, MCA (n=1) [42] MCA, Scenario analysis, WEAP model (n=1)…”

Section: Mca In Decision-makingmentioning

confidence: 99%

Decision-making in climate change adaptation through a cross-sectoral approach: review

Lamichhane

Zaki

Okiria

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…Specifically, under the theoretical framework of suitability analysis, land use can generally be defined as "developed" [19] or "undeveloped" [20]. In recent years, suitability evaluation has been widely used to assess multi-objective PLES functional trade-offs [16,21,22], spatial conflict analysis [23][24][25], crop habitat determination [26,27], landscape evaluation planning, and environmental impact assessment [28]. It can even be applied to predict suitability ratios for different future scenarios [29].…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Spatial Suitability Evaluation and Conflict Optimization Considering Productivity, Sustainability, and Livability in Southwestern Mountainous Areas of China

Fang

Yang

et al. 2021

Sustainability

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Space is the fundamental carrier for production, living, and ecological activities, and optimizing the spatial pattern is of vital importance to promote regional sustainable development. To achieve this goal, the core issues are to identify the risks of resource and environmental constraints of development and to realize the rational distribution of human living space. Based on the integration of multisource heterogeneous data, taking Yunnan Province, a typical mountainous area in China, as an example, this research proposes a multi-object suitability evaluation method based on 50 × 50 m grid data at the provincial scale. We build a spatial conflict analysis model to identify production–living–ecological space (PLES) and propose governance suggestions for different functional areas. The results show that (1) areas suitable for ecology make up the greatest proportion of Yunnan Province, but areas with living and ecological functions show obvious spatial complementarity; (2) areas suitable for production are restricted by steep slope, geological hazards and fragmented pattern; (3) areas suitable for living is rare, and they are mainly concentrated in the plains of central Yunnan; and (4) twenty-seven percent of area has potential spatial conflicts, among which 4.38% of the area is all suitable for production–living–ecological. The production–living advantage areas are concentrated in the central Yunnan UA (Urban agglomeration), which has a high spatial overlap. These results are expected to provide valuable insights to support comprehensive multifunctional spatial utilization and sustainable development in mountainous areas.

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Multi-phase hybrid bidirectional deep learning model integrated with Markov chain Monte Carlo bivariate copulas function for streamflow prediction

Iqbal,

Siddiqi

2023

Stoch Environ Res Risk Assess

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Land suitability projections for traditional sub-alpine cropping in the Australian Alps and Chilean Dry Andes. A combined biophysical and irrigation potential perspective

Cited by 7 publications

References 47 publications

Decision-making in climate change adaptation through a cross-sectoral approach: review

Decision-making in climate change adaptation through a cross-sectoral approach: review

Multi-Objective Spatial Suitability Evaluation and Conflict Optimization Considering Productivity, Sustainability, and Livability in Southwestern Mountainous Areas of China

Multi-phase hybrid bidirectional deep learning model integrated with Markov chain Monte Carlo bivariate copulas function for streamflow prediction

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