Cubaynes Sarah, Aars Jon, Yoccoz Nigel G, Pradel Roger, Wiig Øystein, Ims Rolf A, Gimenez Olivier
CEFE Univ Montpellier CNRS EPHE-PSL University IRD Univ Paul Valéry Montpellier 3 Montpellier France.
Norwegian Polar Institute FRAM Centre Tromsø Norway.
Ecol Evol. 2021 Mar 10;11(7):3380-3392. doi: 10.1002/ece3.7296. eCollection 2021 Apr.
In species providing extended parental care, one or both parents care for altricial young over a period including more than one breeding season. We expect large parental investment and long-term dependency within family units to cause high variability in life trajectories among individuals with complex consequences at the population level. So far, models for estimating demographic parameters in free-ranging animal populations mostly ignore extended parental care, thereby limiting our understanding of its consequences on parents and offspring life histories.We designed a capture-recapture multievent model for studying the demography of species providing extended parental care. It handles statistical multiple-year dependency among individual demographic parameters grouped within family units, variable litter size, and uncertainty on the timing at offspring independence. It allows for the evaluation of trade-offs among demographic parameters, the influence of past reproductive history on the caring parent's survival status, breeding probability, and litter size probability, while accounting for imperfect detection of family units. We assess the model performance using simulated data and illustrate its use with a long-term dataset collected on the Svalbard polar bears ().Our model performed well in terms of bias and mean square error and in estimating demographic parameters in all simulated scenarios, both when offspring departure probability from the family unit occurred at a constant rate or varied during the field season depending on the date of capture. For the polar bear case study, we provide estimates of adult and dependent offspring survival rates, breeding probability, and litter size probability. Results showed that the outcome of the previous reproduction influenced breeding probability.Overall, our results show the importance of accounting for i) the multiple-year statistical dependency within family units, ii) uncertainty on the timing at offspring independence, and iii) past reproductive history of the caring parent. If ignored, estimates obtained for breeding probability, litter size, and survival can be biased. This is of interest in terms of conservation because species providing extended parental care are often long-living mammals vulnerable or threatened with extinction.
在提供长期亲代抚育的物种中,单亲或双亲会在包括不止一个繁殖季节的一段时间内照顾早产的幼崽。我们预计,家庭单位内大量的亲代投资和长期的依赖会导致个体生命轨迹的高度变异性,在种群层面产生复杂的后果。到目前为止,用于估计自由放养动物种群中人口统计学参数的模型大多忽略了长期亲代抚育,从而限制了我们对其对亲代和后代生活史影响的理解。我们设计了一种捕获再捕获多事件模型,用于研究提供长期亲代抚育的物种的种群统计学。它处理家庭单位内个体人口统计学参数之间的统计多年依赖性、可变的窝仔数以及后代独立时间的不确定性。它允许评估人口统计学参数之间的权衡、过去繁殖史对抚育亲代生存状况、繁殖概率和窝仔数概率的影响,同时考虑家庭单位检测不完美的情况。我们使用模拟数据评估模型性能,并用在斯瓦尔巴德北极熊上收集的长期数据集说明其应用。我们的模型在偏差和均方误差方面表现良好,并且在所有模拟场景中估计人口统计学参数时都表现出色,无论是后代离开家庭单位的概率以恒定速率发生,还是在野外季节期间根据捕获日期而变化。对于北极熊案例研究,我们提供了成年和依赖后代的存活率、繁殖概率和窝仔数概率的估计值。结果表明,先前繁殖的结果会影响繁殖概率。总体而言,我们的结果表明考虑以下几点的重要性:i)家庭单位内的多年统计依赖性;ii)后代独立时间的不确定性;iii)抚育亲代的过去繁殖史。如果忽略这些因素,所获得的繁殖概率、窝仔数和存活率估计可能会有偏差。这在保护方面很重要,因为提供长期亲代抚育的物种通常是易受伤害或面临灭绝威胁的长寿哺乳动物。