School of Biological and Environmental Sciences, Liverpool John Moores University, Liverpool, United Kingdom.
LuiKotale Bonobo Project, Centre for Research and Conservation, Royal Zoological Society of Antwerp, Antwerp, Belgium.
PLoS One. 2021 Jun 30;16(6):e0252527. doi: 10.1371/journal.pone.0252527. eCollection 2021.
Since 1994, IUCN Red List assessments apply globally acknowledged standards to assess species distribution, abundance and trends. The extinction risk of a species has a major impact on conservation science and international funding mechanisms. Great ape species are listed as Endangered or Critically Endangered. Their populations are often assessed using their unique habit of constructing sleeping platforms, called nests. As nests rather than apes are counted, it is necessary to know the time it takes for nests to disappear to convert nest counts into ape numbers. However, nest decomposition is highly variable across sites and time and the factors involved are poorly understood. Here, we used 1,511 bonobo (Pan paniscus) nests and 15 years of climatic data (2003-2018) from the research site LuiKotale, Democratic Republic of the Congo, to investigate the effects of climate change and behavioural factors on nest decay time, using a Bayesian gamma survival model. We also tested the logistic regression method, a recommended time-efficient option for estimating nest decay time. Our climatic data showed a decreasing trend in precipitation across the 15 years of study. We found bonobo nests to have longer decay times in recent years. While the number of storms was the main factor driving nest decay time, nest construction type and tree species used were also important. We also found evidence for bonobo nesting behaviour being adapted to climatic conditions, namely strengthening the nest structure in response to unpredictable, harsh precipitation. By highlighting methodological caveats, we show that logistic regression is effective in estimating nest decay time under certain conditions. Our study reveals the impact of climate change on nest decay time in a tropical remote area. Failure to account for these changes would invalidate biomonitoring estimates of global significance, and subsequently jeopardize the conservation of great apes in the wild.
自 1994 年以来,IUCN 红色名录评估采用全球公认的标准来评估物种的分布、丰度和趋势。物种的灭绝风险对保护科学和国际资助机制有重大影响。大型猿类物种被列为濒危或极危物种。它们的种群通常使用它们独特的构建睡眠平台(称为巢穴)的习惯来进行评估。由于只计算巢穴而不是猿类,因此需要知道巢穴消失所需的时间,以便将巢穴计数转换为猿类数量。然而,巢穴分解在不同地点和时间的变化很大,涉及的因素了解甚少。在这里,我们使用了来自刚果民主共和国研究地点 LuiKotale 的 1511 只倭黑猩猩(Pan paniscus)巢穴和 15 年的气候数据(2003-2018 年),使用贝叶斯伽马生存模型研究气候变化和行为因素对巢穴分解时间的影响。我们还测试了逻辑回归方法,这是一种估计巢穴分解时间的推荐时间有效的方法。我们的气候数据显示,在 15 年的研究中,降水呈下降趋势。我们发现,近年来倭黑猩猩的巢穴分解时间更长。虽然风暴次数是驱动巢穴分解时间的主要因素,但巢穴建造类型和使用的树种也很重要。我们还发现,倭黑猩猩的筑巢行为适应了气候条件,即在应对不可预测的恶劣降水时,加强巢穴结构。通过突出方法上的注意事项,我们表明逻辑回归在某些条件下有效估计巢穴分解时间。我们的研究揭示了气候变化对热带偏远地区巢穴分解时间的影响。如果不考虑这些变化,全球范围内的生物监测估计将失去有效性,从而危及野外大猿类的保护。