Displacement vulnerability of marine birds within the California Current System

Two metrics were used to determine Collision Vulnerability: Macro-avoidance and habitat flexibility. Macro-avoidance (MA)—The macro-avoidance values for species indicate the species-specific probability of avoidance for birds associated with wind power infrastructure. For each species, we derived this value from observed macro-avoidance rates (via human observation and radar) at existing offshore wind power sites. In cases where species-specific data were not available, we used information from similar taxa. Habitat Flexibility (HF)—the degree to which a species shows habitat-specific feeding strategies (habitat flexibility) influences its vulnerability for displacement by offshore infrastructure. We evaluated literature involving diet, feeding habits, and habitat use to estimate HF or each marine bird species in the CCS database. These data support the following publication: Adams, J., Kelsey, E.C., Felis J.J., and Pereksta, D.M., 2016, Collision and displacement vulnerability among marine birds of the California Current System associated with offshore wind energy infrastructure: U.S. Geological Survey Open-File Report 2016-1154, 116 p., https://doi.org/10.3133/ofr20161154. These data were revisied in June 2017 and the revision published in August 2017. Please be advised to use CCS_vulnerability_FINAL_VERSION_v10_DV.csv本研究采用两项指标评估碰撞脆弱性（Collision Vulnerability）：宏观回避（Macro-avoidance，简称MA）与栖息地灵活性（Habitat Flexibility，简称HF）。宏观回避（MA）：物种的宏观回避值代表关联风力发电基础设施的鸟类所具有的物种特异性回避概率。针对每一物种，我们通过现有海上风电场地的实测宏观回避率（依托人工观测与雷达技术获取）推导得到该数值；若缺乏该物种的专属观测数据，则采用近缘类群的相关信息进行替代。栖息地灵活性（HF）：物种展现栖息地特异性取食策略的程度（即栖息地灵活性），会影响其受海上基础设施驱离的脆弱性。我们针对加利福尼亚洋流系统（California Current System, CCS）数据库中的每一种海洋鸟类，通过梳理涉及食性、取食习惯与栖息地利用的相关文献，对其HF值进行估算。本数据集支撑以下已发表成果：Adams J、Kelsey E.C.、Felis J.J.与Pereksta D.M.于2016年发布的《加利福尼亚洋流系统海域海洋鸟类受海上风电基础设施影响的碰撞与驱离脆弱性》，美国地质调查局公开文件报告2016-1154，共计116页，DOI链接：https://doi.org/10.3133/ofr20161154。本数据集于2017年6月完成修订，并于同年8月发布修订版本。请使用CCS_vulnerability_FINAL_VERSION_v10_DV.csv文件开展相关研究。