Comparing GIS-based habitat models for applications in EIA and SEA

Gontier, Mikael; Mörtberg, Ulla; Balfors, Berit

doi:10.1016/j.eiar.2009.05.003

Cited by 56 publications

(28 citation statements)

References 44 publications

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“…This is further emphasized by the fact that the use of ecological modelling is deemed non-existent nationally, while only 8% of international respondents indicated using it. This shows a clear discrepancy between work in biodiversity impact assessment and conservation biology, where GIS and modelling are commonly used (Gontier et al 2010;Fry et al 2011b). In addition, limitations in the availability and accessibility of spatial data for impact assessment, together with time and resource constraints with regard to relevant skills, may further limit the applicability of GIS (González 2012).…”

Section: Techniques For Impact Assessment Treatment Of Scale and Uncmentioning

confidence: 99%

Current practice in biodiversity impact assessment and prospects for developing an integrated process

González

Keneghan

Fry

et al. 2013

Impact Assessment and Project Appraisal

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Irish guidance for Integrated Biodiversity Impact Assessment provides a methodological approach for integrating impact assessment requirements, with regard to biodiversity, under EU and Irish legislation. Preparation of the guidance was supported by extensive consultation, including international and national surveys. These offered insights into the issues affecting the treatment of biodiversity in impact assessment practice as well as expert opinion on factors affecting and supporting the development of a more integrated and adaptive approach. This paper contrasts the international literature with the consultation feedback. Among other aspects, the results highlight the requirement for an improved application of evidence-based assessment techniques, continuity in monitoring, enhanced information exchange between scientists, assessors and proponents, as well as increased awareness amongst stakeholders for inclusion of appropriate biodiversity protection objectives and mitigation in final planning decisions. Comparative analysis of results indicates that current practice is characterized by limited information exchange and the use of in-house databases in assessments. A central spatial data repository is identified as key for quantitatively assessing (cumulative) effects through Geographic Information Systems, and thus supporting evidence-informed decision-making towards biodiversity conservation.

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Section: Techniques For Impact Assessment Treatment Of Scale and Uncmentioning

confidence: 99%

Current practice in biodiversity impact assessment and prospects for developing an integrated process

González

Keneghan

Fry

et al. 2013

Impact Assessment and Project Appraisal

View full text Add to dashboard Cite

show abstract

“…al., 2004;Gontier et al, 2010). For this reason the focus of implementing sustainability aspects into the decision-making process is more effective and more sustainable-driven than being reactive on the EIA-level.…”

Section: Environmental Planningmentioning

confidence: 99%

“…In conservation biology and conservation planning there is a great diversity of GIS-based species distribution, habitat or population models (Blaschke, 1997;Blaschke, 2003;Taeger, 2010;Guisan & Zimmermann, 2000;Gontier, 2007;Gontier et al, 2010;Pietsch et al, 2007;Amler et al, 1999). Habitat suitability models based on empirical data versus models based on expert knowledge can be distinguished.…”

Section: Gis-based Habitat Modelsmentioning

confidence: 99%

GIS in Landscape Planning

Pietsch¹

2012

Landscape Planning

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“…Several existing process-based models linked to economic valuation methods are integrated into a GIS platform to value ecosystem services (Gret-Regamey et al, 2008). Four different GIS-based habitat models were comparatively applied to analyze impacts of land use changes, urbanization and infrastructure developments on fragmentation of natural habitats and biodiversity loss (Gontier et al, 2010). A spatial decision support system was developed to support land-use planning and local forestry by providing spatially explicit information of carbon sequestration and economic benefits under various scenarios of the carbon credit market .…”

Section: Earth Surface Modelingmentioning

confidence: 99%