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Comparing GIS-based habitat models for applications in EIA and SEA
KTH, School of Architecture and the Built Environment (ABE), Land and Water Resources Engineering, Environmental Management and Assessment.
KTH, School of Architecture and the Built Environment (ABE), Land and Water Resources Engineering, Environmental Management and Assessment.ORCID iD: 0000-0002-1640-8946
KTH, School of Architecture and the Built Environment (ABE), Land and Water Resources Engineering, Environmental Management and Assessment.
2010 (English)In: Environmental impact assessment review, ISSN 0195-9255, E-ISSN 1873-6432, Vol. 30, no 1, 8-18 p.Article in journal (Refereed) Published
Abstract [en]

Land use changes. urbanisation and infrastructure developments in particular. cause fragmentation of natural habitats and threaten biodiversity. Tools and measures must be adapted to assess and remedy the potential effects on biodiversity caused by human activities and developments. Within physical planning, environmental impact assessment (EIA) and strategic environmental assessment (SEA) play important roles in the prediction and assessment of biodiversity-related impacts from planned developments. However, adapted prediction tools to forecast and quantify potential impacts on biodiversity components are lacking. This study tested and compared four different CIS-based habitat models and assessed their relevance for applications in environmental assessment. The models were implemented in the Stockholm region in central Sweden and applied to data on the crested tit (Parus cristatus), a sedentary bird species of coniferous forest. All four models performed well and allowed the distribution of suitable habitats for the crested tit in the Stockholm region to be predicted. The models were also used to predict and quantify habitat loss for two regional development scenarios. The study highlighted the importance of model selection in impact prediction. Criteria that are relevant for the choice of model for predicting impacts on biodiversity were identified and discussed. Finally, the importance of environmental assessment for the preservation of biodiversity within the general frame of biodiversity conservation is emphasised.

Place, publisher, year, edition, pages
2010. Vol. 30, no 1, 8-18 p.
Keyword [en]
Biodiversity, Impact prediction, Crested tit, Conservation planning, Habitat suitability, Species distribution modeling
National Category
Other Environmental Engineering
Identifiers
URN: urn:nbn:se:kth:diva-8536DOI: 10.1016/j.eiar.2009.05.003ISI: 000272928500002Scopus ID: 2-s2.0-70449518327OAI: oai:DiVA.org:kth-8536DiVA: diva2:13886
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FormasStandUp
Note

QC 20100727. Uppdaterad från manuskript till artikel (20100727).

Available from: 2008-05-27 Created: 2008-05-27 Last updated: 2013-01-14Bibliographically approved
In thesis
1. Spatial prediction tools for biodiversity in environmental assessment
Open this publication in new window or tab >>Spatial prediction tools for biodiversity in environmental assessment
2008 (English)Doctoral thesis, comprehensive summary (Other scientific)
Abstract [en]

Human activities in the form of land use changes, urbanisation and infrastructure developments are major threats to biodiversity. The loss and fragmentation of natural habitats are great obstacles for the long term preservation of biodiversity and nature protection measures alone may not be sufficient to tackle the problem. Environmental impact assessment (EIA) and strategic environmental assessment (SEA) play a central role in identifying, predicting and managing the impacts of human activities on biodiversity. The review of current practice suggests that the complexity of the task is underestimated and that new methodological approaches encompassing the entire landscape are needed. Spatial aspects of the assessment and the lack of information on scale-related issues are particular problems affecting the appropriate assessment of cumulative effects. In parallel with the development and establishment of EIA and SEA, spatial modelling is an expanding field in ecology and many derived applications could be suitable for the prediction and assessment of biodiversity-related impacts. The diversity of modelling methods suggests that a strategy is needed to identify prediction methods appropriate for EIA and SEA. The relevance and potential limitations of GIS-based species distribution and habitat models in predicting impacts on biodiversity were examined in three studies in the greater Stockholm area. Distinct approaches to habitat suitability modelling were compared from the perspective of environmental assessment needs and requirements. The results showed that model performance, validity and ultimate suitability for planning applications were strongly dependent on empirical data and expert knowledge. The methods allowed visual, qualitative and quantitative assessment of habitat loss, thus improving decision support for assessment of impacts on biodiversity. The proposed methods allowed areas of high ecological value and the surrounding landscape to be considered in the same assessment, thereby contributing to better integration of biodiversity issues in physical planning.

Place, publisher, year, edition, pages
Stockholm: KTH, 2008. x, 29 p.
Series
Trita-LWR. PHD, ISSN 1650-8602 ; 1041
Keyword
EIA; SEA; Species distribution modelling; Habitat suitability modelling; Impact prediction; GIS; Urbanisation
National Category
Other Environmental Engineering
Identifiers
urn:nbn:se:kth:diva-4775 (URN)978-91-7178-997-6 (ISBN)
Public defence
2008-06-05, E3, Osquarsbacke 14, Stockholm, 10:00
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Note
QC 20100727Available from: 2008-05-27 Created: 2008-05-27 Last updated: 2010-07-27Bibliographically approved

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