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Mapping abundance distributions of allergenic tree species in urbanized landscapes: A nation-wide study for Belgium using forest inventory and citizen science data
Landscape and Urban Planning ( IF 7.9 ) Pub Date : 2021-10-31 , DOI: 10.1016/j.landurbplan.2021.104286
Sebastien Dujardin 1, 2, 3 , Michiel Stas 3, 4 , Camille Van Eupen 3, 5 , Raf Aerts 3, 6, 7, 8, 9 , Marijke Hendrickx 9 , Andy W. Delcloo 10, 11 , François Duchêne 10, 11 , Rafiq Hamdi 10, 11 , Tim S. Nawrot 8, 12 , An Van Nieuwenhuyse 12, 13 , Jean-Marie Aerts 4 , Jos Van Orshoven 3 , Ben Somers 3 , Catherine Linard 1, 2 , Nicolas Dendoncker 1, 2
Affiliation  

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.



中文翻译:

绘制城市化景观中致敏树种的丰度分布图:使用森林清单和公民科学数据对比利时进行的全国性研究

绘制城市化景观中过敏植物的分布图对于评估其对人类健康的影响非常重要。然而,与过敏相关的物种(例如桤木、桦树、榛树)的数据并不总是可用,尤其是在系统清单经常缺失或不易获得的城市中。这项研究提出了一种使用现有森林清单和机会主义开放获取公民科学数据制作过敏性树种的高分辨率丰度图的方法。遵循两步法,我们首先建立了物种分布模型 (SDM),以使用环境特征作为预测因子来预测物种栖息地的适宜性。其次,我们使用统计回归来模拟丰度、SDM 预测的栖息地适宜性之间的关系,和额外的植被覆盖协变量。森林清查数据与公民科学数据相结合,提高了致敏树种丰度分布模型的准确性。这产生了一个连续的 1 公顷分辨率的桤木、桦木和榛树地图,显示了城市结构内和沿城乡梯度的丰度分布的空间变化。物种丰度建模可以更好地了解绿色空间带来的现有和潜在的未来过敏风险,并为各种精细规模的应用铺平道路,这对于支持循证的城市绿色空间政策和规划必不可少公共卫生。这产生了一个连续的 1 公顷分辨率的桤木、桦木和榛树地图,显示了城市结构内和沿城乡梯度的丰度分布的空间变化。物种丰度建模可以更好地了解绿色空间带来的现有和潜在的未来过敏风险,并为各种精细规模的应用铺平道路,这对于支持循证的城市绿色空间政策和规划必不可少公共卫生。这产生了一个连续的 1 公顷分辨率的桤木、桦木和榛树地图,显示了城市结构内和沿城乡梯度的丰度分布的空间变化。物种丰度建模可以更好地了解绿色空间带来的现有和潜在的未来过敏风险,并为各种精细规模的应用铺平道路,这对于支持循证的城市绿色空间政策和规划必不可少公共卫生。

更新日期:2021-11-01
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