Centre for Marine Biodiversity and Biotechnology, School of Life Sciences, Heriot Watt University, Riccarton, Edinburgh, United Kingdom.
PLoS One. 2013 Jul 22;8(7):e68263. doi: 10.1371/journal.pone.0068263. Print 2013.
The aims of this study were to determine the extent and distribution of an OSPAR priority habitat under current baseline ocean temperatures; to illustrate the prospect for habitat loss under a changing ocean temperature scenario; and to demonstrate the potential application of predictive habitat mapping in "future-proofing" conservation and biodiversity management. Maxent modelling and GIS environmental envelope analysis of the biogenic bed forming species, Modiolus modiolus was carried out. The Maxent model was tested and validated using 75%/25% training/test occurrence records and validated against two sampling biases (the whole study area and a 20km buffer). The model was compared to the envelope analysis and the area under the receiver operating characteristic curve (Area Under the curve; AUC) was evaluated. The performance of the Maxent model was rated as 'good' to 'excellent' on all replicated runs and low variation in the runs was recorded from the AUC values. The extent of "most suitable", "less suitable" and "unsuitable" habitat was calculated for the baseline year (2009) and the projected increased ocean temperature scenarios (2030, 2050, 2080 and 2100). A loss of 100% of "most suitable" habitat was reported by 2080. Maintaining a suitable level of protection of marine habitats/species of conservation importance may require management of the decline and migration rather than maintenance of present extent. Methods applied in this study provide the initial application of a plausible "conservation management tool".
本研究旨在确定当前基线海洋温度下 OSPAR 优先栖息地的范围和分布;说明在海洋温度变化情景下栖息地丧失的前景;并展示预测性栖息地制图在“未来证明”保护和生物多样性管理中的潜在应用。对生物成因造床物种 Modiolus modiolus 进行了 Maxent 模型和 GIS 环境包络分析。使用 75%/25%的训练/测试出现记录对 Maxent 模型进行了测试和验证,并针对两种抽样偏差(整个研究区域和 20km 缓冲区)进行了验证。将该模型与环境包络分析进行了比较,并评估了接收者操作特征曲线下的面积(曲线下面积;AUC)。在所有重复运行中,Maxent 模型的性能被评为“良好”到“优秀”,并且 AUC 值记录的运行变化很小。计算了基线年(2009 年)和预测的海洋温度升高情景(2030 年、2050 年、2080 年和 2100 年)的“最适宜”、“较不适宜”和“不适宜”栖息地的范围。到 2080 年,“最适宜”栖息地将全部丧失。为了维持海洋栖息地/具有保护重要性的物种的适宜保护水平,可能需要管理下降和迁移,而不是维持目前的范围。本研究中应用的方法提供了一种合理的“保护管理工具”的初步应用。