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Mapping abundance distributions of allergenic tree species in urbanized landscapes

Authors :
Marijke Hendrickx
Jos Van Orshoven
Catherine Linard
Ben Somers
Raf Aerts
An Van Nieuwenhuyse
Sébastien Dujardin
Andy Delcloo
Tim S. Nawrot
Michiel Stas
Rafiq Hamdi
François Duchêne
Camille Van Eupen
Jean-Marie Aerts
Nicolas Dendoncker
Source :
Landscape and Urban Planning. 218
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

Mapping the distribution of allergenic plants in urbanized landscapes is of high importance to evaluate its impact on human health. However, data is not always available for the allergy-relevant species such as alder, birch, hazel, especially within cities where systematic inventories are often missing or not readily available. This research presents an approach to produce high-resolution abundance maps of allergenic tree species using existing forest inventories and opportunistic open-access citizen science data. Following a two-step approach, we first built species distribution models (SDMs) to predict species habitat suitability, using environmental characteristics as predictors. Second, we used statistical regressions to model the relationships between abundance, the habitat suitability predicted by the SDMs, and additional vegetation cover covariates. The combination of forest inventory data with citizen science data improves the accuracy of abundance distribution models of allergenic tree species. This produces a continuous, 1-hectare resolution map of alder, birch, and hazel showing spatial variations of abundance distributions both within the urban fabric and along the urban–rural gradient. Species abundance modelling can offer a better understanding of the existing and potential future allergy risk posed by green spaces and pave the way for a wide variety of applications at fine-scale, which is indispensable for evidence-based urban green space policy and planning in support of public health. ispartof: Landscape And Urban Planning vol:218 status: Published online

Details

Language :
English
ISSN :
01692046
Volume :
218
Database :
OpenAIRE
Journal :
Landscape and Urban Planning
Accession number :
edsair.doi.dedup.....ba6ce853de4550e45d5bde78ff0459ba