Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Oslo, Norway.
Zoological Museum, The Natural History Museums and Botanical Garden, University of Oslo, Oslo, Norway.
J Anim Ecol. 2020 Sep;89(9):2122-2133. doi: 10.1111/1365-2656.13269. Epub 2020 Jun 25.
Evidence-based management of natural populations under strong human influence frequently requires not only estimates of survival but also knowledge about how much mortality is due to anthropogenic vs. natural causes. This is the case particularly when individuals vary in their vulnerability to different causes of mortality due to traits, life history stages, or locations. Here, we estimated harvest and background (other cause) mortality of landlocked migratory salmonids over half a century. In doing so, we quantified among-individual variation in vulnerability to cause-specific mortality resulting from differences in body size and spawning location relative to a hydropower dam. We constructed a multistate mark-recapture model to estimate harvest and background mortality hazard rates as functions of a discrete state (spawning location) and an individual time-varying covariate (body size). We further accounted for among-year variation in mortality and migratory behaviour and fit the model to a unique 50-year time series of mark-recapture-recovery data on brown trout (Salmo trutta) in Norway. Harvest mortality was highest for intermediate-sized trout, and outweighed background mortality for most of the observed size range. Background mortality decreased with body size for trout spawning above the dam and increased for those spawning below. All vital rates varied substantially over time, but a trend was evident only in estimates of fishers' reporting rate, which decreased from over 50% to less than 10% throughout the study period. We highlight the importance of body size for cause-specific mortality and demonstrate how this can be estimated using a novel hazard rate parameterization for mark-recapture models. Our approach allows estimating effects of individual traits and environment on cause-specific mortality without confounding, and provides an intuitive way to estimate temporal patterns within and correlation among different mortality sources.
在人类影响强烈的情况下,对自然种群进行循证管理通常不仅需要估计存活率,还需要了解死亡率中有多少是人为因素和自然因素造成的。当个体由于特征、生活史阶段或位置的不同而对不同的死亡原因的脆弱性不同时,尤其如此。在这里,我们在半个多世纪的时间里估计了内陆洄游性鲑鱼的捕捞和背景(其他原因)死亡率。在这样做的过程中,我们量化了由于相对于水电站的位置和体型差异而导致的对特定原因死亡率的个体脆弱性的个体间差异。我们构建了一个多状态标记-重捕模型,以估计捕捞和背景死亡率危险率作为离散状态(产卵位置)和个体时变协变量(体型)的函数。我们进一步考虑了死亡率和洄游行为的年际变化,并将模型拟合到挪威独特的 50 年鳟鱼(Salmo trutta)标记-重捕-回收数据时间序列上。对于中等大小的鳟鱼,捕捞死亡率最高,超过了大多数观察到的体型范围内的背景死亡率。对于在大坝上方产卵的鳟鱼,背景死亡率随体型的增加而降低,而对于在大坝下方产卵的鳟鱼,背景死亡率随体型的增加而增加。所有关键比率在时间上都有很大的变化,但只有渔民报告率的估计值显示出明显的趋势,在整个研究期间,该比率从超过 50%下降到不到 10%。我们强调了体型对特定原因死亡率的重要性,并展示了如何使用标记-重捕模型的新危险率参数化来估计这一点。我们的方法允许在没有混淆的情况下估计个体特征和环境对特定原因死亡率的影响,并提供了一种直观的方法来估计不同死亡率来源的内部和之间的时间模式。