Collect and analysis of agro-biodiversity data in a participative context: A business intelligence framework

Bimonte, Sandro; Billaud, Olivier; Fontaine, Benoît; Martin, Thomy; Flouvat, Frédéric; Hassan, Ali; Rouillier, Nora; Sautot, Lucile

doi:10.1016/j.ecoinf.2021.101231

Cited by 6 publications

(7 citation statements)

References 34 publications

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“…Therefore, the development of various small gardening practices [23,24] requires advances in research and understanding of the biological diversity in these areas [14,[25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Diversity and Diet Differences of Small Mammals in Commensal Habitats

et al. 2021

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The stability of diversity of syntopic (inhabiting the same habitat in the same time) small mammals in commensal habitats, such as farmsteads and kitchen gardens, and, as a proxy of their diet, their isotopic niches, was investigated in Lithuania in 2019–2020. We tested whether the separation of species corresponds to the trophic guilds, whether their diets are related to possibilities of getting additional food from humans, and whether their diets are subject to seasonal trends. We analyzed diversity, dominance and distribution of hair δ13C and δ15N values. Diversity and dominance was not stable and differed according to human influence. The highest small mammal species richness occurred in commensal habitats that provided additional food. The degree of separation of species was higher in homestead habitats than in kitchen gardens, where a 1.27 to 35.97% overlap of isotopic niches was observed between pairs of species. Temporal changes in δ13C and δ15N values in the hair of the mammals were not equally expressed in different species. The isotopic overlap may depend on dietary plasticity, minimizing interspecific competition and allowing co-existence of syntopic species. Thus, small mammal trophic ecology is likely related to intensity of agricultural activities in the limited space of commensal habitats.

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“…Therefore, the development of various small gardening practices [23,24] requires advances in research and understanding of the biological diversity in these areas [14,[25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Diversity and Diet Differences of Small Mammals in Commensal Habitats

et al. 2021

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“…They suggested using GIS. These tools were deemed limited in decision support (Bimonte et al, 2021). Our work consolidates the theoretical basis proposed by Wang while exploiting new technologies for spatial decision support, namely spatial DWs and SOLAP.…”

Section: Discussion: Findings Research Implication and Limitationsmentioning

confidence: 99%

“…Then a standard approach to implement a geospatial decision-support solution is considered. A spatial data warehouse (SDW) is a concentrated repository that follows a multidimensional model and is used to integrate, collect, and analyze thematic and spatial data from different sources (Bimonte et al, 2021).…”

Section: Spatial Dw-based Integrationmentioning

confidence: 99%

“…They suggested using GIS. These tools were deemed limited in decision support (Bimonte et al, 2021).…”

Section: The Second Episodementioning

confidence: 99%

“…Through visual exploration and data analysis, non‐experts can better understand, manipulate, and extract valuable knowledge. Additionally, we discuss the technological advances in the field that allow the integration of spatial data and their geovisualization, namely geospatial DSS (a combination of BI and GIS [Bimonte et al, 2021]).…”

Section: Problem Statement and Related Workmentioning

confidence: 99%

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A spatial data integration and visualization approach for occupational health and safety risks management: Application to Algerian electricity and gas company

Haroun

Ghomari

2023

E J Info Sys Dev Countries

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In the safety 4.0 era, occupational health and safety (OHS) related data has become one of the most valuable assets for organizations. Risk Management in the OHS field is a data‐driven process. However, geospatial data has not been fully considered and few works have used visualization for decision‐making purposes. Our research was conducted using a design science research methodology. It is a methodology for creating and evaluating IT artifacts to solve identified organizational problems. We used Wang's safety intelligence framework and the recommendations of the ISO 45001 model from extant literature to inform the Design. While creating our artifact, we chose to make an inventory of occupational risk prevention practices in Algeria. A qualitative study using interviews with experts in the field consolidated the requirements for such a system. The key findings from the analysis of collected data state that the development of safety data‐driven decision‐making requires top management support and involvement, which is in line with previous studies. A second concern is the availability of spatial data. The designed artifact is an approach called spatial data integration and visualization approach for occupational health and safety management systems (SDIVA‐OHSMS). SDIVA‐OHSMS provides a practical approach for organizations in charge of OHS services to implement OHS data‐driven decision‐making solutions highlighting spatial and semantic dimensions. The evaluation was performed through a representative case study within the Algerian electricity and gas company (Sonelgaz), employing expert opinion and software implementation. As a result, experts concluded that such systems could provide a more comprehensive and accurate view of occupational health issues and guide further prevention policies.

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