Grafius Darren R, Corstanje Ron, Siriwardena Gavin M, Plummer Kate E, Harris Jim A
1School of Water, Energy and Environment, Cranfield University, Cranfield, Bedfordshire MK43 0AL UK.
British Trust for Ornithology, The Nunnery, Thetford, Norfolk IP24 2PU UK.
Landsc Ecol. 2017;32(9):1771-1787. doi: 10.1007/s10980-017-0548-1. Epub 2017 Jun 28.
Connectivity is fundamental to understanding how landscape form influences ecological function. However, uncertainties persist due to the difficulty and expense of gathering empirical data to drive or to validate connectivity models, especially in urban areas, where relationships are multifaceted and the habitat matrix cannot be considered to be binary.
This research used circuit theory to model urban bird flows (i.e. 'current'), and compared results to observed abundance. The aims were to explore the ability of this approach to predict wildlife flows and to test relationships between modelled connectivity and variation in abundance.
Circuitscape was used to model functional connectivity in Bedford, Luton/Dunstable, and Milton Keynes, UK, for great tits () and blue tits (), drawing parameters from published studies of woodland bird flows in urban environments. Model performance was then tested against observed abundance data.
Modelled current showed a weak yet positive agreement with combined abundance for and . Weaker correlations were found for other woodland species, suggesting the approach may be expandable if re-parameterised.
Trees provide suitable habitat for urban woodland bird species, but their location in large, contiguous patches and corridors along barriers also facilitates connectivity networks throughout the urban matrix. Urban connectivity studies are well-served by the advantages of circuit theory approaches, and benefit from the empirical study of wildlife flows in these landscapes to parameterise this type of modelling more explicitly. Such results can prove informative and beneficial in designing urban green space and new developments.
连通性是理解景观形态如何影响生态功能的基础。然而,由于收集实证数据以驱动或验证连通性模型存在困难且成本高昂,不确定性依然存在,尤其是在城市地区,这里的关系是多方面的,且栖息地矩阵不能被视为二元的。
本研究使用电路理论对城市鸟类流动(即“电流”)进行建模,并将结果与观测到的丰度进行比较。目的是探索这种方法预测野生动物流动的能力,并测试建模的连通性与丰度变化之间的关系。
利用Circuitscape对英国贝德福德、卢顿/邓斯特布尔和米尔顿凯恩斯的大山雀()和蓝山雀()的功能连通性进行建模,从已发表的城市环境中林地鸟类流动研究中提取参数。然后根据观测到的丰度数据测试模型性能。
建模的电流与大山雀和蓝山雀的综合丰度显示出微弱但正向的一致性。对于其他林地物种,相关性较弱,这表明如果重新参数化,该方法可能具有扩展性。
树木为城市林地鸟类提供了适宜的栖息地,但它们在大型连续斑块中的位置以及沿着障碍物的廊道也促进了整个城市矩阵中的连通性网络。电路理论方法的优势为城市连通性研究提供了良好的支持,并且受益于对这些景观中野生动物流动的实证研究,以便更明确地对这类建模进行参数化。这样的结果在设计城市绿地和新开发项目时可能会被证明是有益的。