Kissling Michelle L, Reid Mason, Lukacs Paul M, Gende Scott M, Lewis Stephen B
U.S. Fish and Wildlife Service, 3000 Vintage Boulevard, Suite 201, Juneau, Alaska 99801, USA.
Ecol Appl. 2007 Dec;17(8):2164-74. doi: 10.1890/06-1990.1.
The Kittlitz's Murrelet (Brachyramphus brevirostris) is a rare, non-colonial seabird often associated with tidewater glaciers and a recent candidate for listing under the Endangered Species Act. We estimated abundance of Kittlitz's Murrelets across space and time from at-sea surveys along the coast of Alaska (USA) and then used these data to develop spatial models to describe abundance patterns and identify environmental factors affecting abundance. Over a five-week period in the summer of 2005, we recorded 794 Kittlitz's Murrelets, 16 Marbled Murrelets (B. marmoratus), and 70 unidentified murrelets. The overall population estimate (N, mean +/- SE) during the peak period (3-9 July) was 1317 +/- 294 birds, decreasing to 68 +/- 37 by the last survey period (31 July-6 August). Density of Kittlitz's Murrelets was highest in pelagic waters of Taan Fjord (18.6 +/- 7.8 birds/km2, mean +/- SE) during 10-16 July. Spatial models identified consistent "hotspots" of Kittlitz's Murrelets, including several small areas where high densities of murrelets were found throughout the survey period. Of the explanatory variables that we evaluated, tidal current strength influenced murrelet abundance most consistently, with higher abundance associated with strong tidal currents. Simulations based on the empirically derived estimates of variation demonstrated that spatial variation strongly influenced power to detect trend, although power changed little across the threefold difference in the coefficient of variation on detection probability. We include recommendations for monitoring Kittlitz's Murrelets (or other marine species) when there is a high degree of uncertainty about factors affecting abundance, especially spatial variability.
基氏海鸦(Brachyramphus brevirostris)是一种罕见的、不集群的海鸟,常与潮水冰川有关,并且是最近根据《濒危物种法》被列为受威胁物种的候选鸟类。我们通过在美国阿拉斯加海岸进行的海上调查,估算了基氏海鸦在空间和时间上的数量,然后利用这些数据建立空间模型,以描述数量模式并确定影响数量的环境因素。在2005年夏天的五周时间里,我们记录到794只基氏海鸦、16只大理石纹海鸦(B. marmoratus)和70只身份不明的海鸦。高峰期(7月3日至9日)的总体数量估计值(N,平均值±标准误差)为1317±294只,到最后一个调查期(7月31日至8月6日)减少到68±37只。7月10日至16日期间,基氏海鸦在塔恩峡湾的远洋水域密度最高(18.6±7.8只/平方公里,平均值±标准误差)。空间模型确定了基氏海鸦一致的“热点”区域,包括几个在整个调查期内发现海鸦高密度的小区域。在我们评估的解释变量中,潮流强度对海鸦数量的影响最为一致,数量较多与强潮流相关。基于经验得出的变异估计进行的模拟表明,空间变异强烈影响检测趋势的能力——尽管在检测概率变异系数相差三倍的情况下,检测能力变化不大。我们针对在影响数量的因素存在高度不确定性、尤其是存在空间变异性的情况下,监测基氏海鸦(或其他海洋物种)提出了建议。