Greenville Aaron C, Wardle Glenda M, Nguyen Vuong, Dickman Chris R
Desert Ecology Research Group, School of Life and Environmental Sciences, University of Sydney, Sydney, NSW, 2006, Australia.
Long Term Ecological Research Network, Terrestrial Ecosystem Research Network, Sydney, Australia.
Oecologia. 2016 Oct;182(2):475-85. doi: 10.1007/s00442-016-3672-8. Epub 2016 Jun 23.
Resources are seldom distributed equally across space, but many species exhibit spatially synchronous population dynamics. Such synchrony suggests the operation of large-scale external drivers, such as rainfall or wildfire, or the influence of oasis sites that provide water, shelter, or other resources. However, testing the generality of these factors is not easy, especially in variable environments. Using a long-term dataset (13-22 years) from a large (8000 km(2)) study region in arid Central Australia, we tested firstly for regional synchrony in annual rainfall and the dynamics of six reptile species across nine widely separated sites. For species that showed synchronous spatial dynamics, we then used multivariate follow a multivariate auto-regressive state-space (MARSS) models to predict that regional rainfall would be positively associated with their populations. For asynchronous species, we used MARSS models to explore four other possible population structures: (1) populations were asynchronous, (2) differed between oasis and non-oasis sites, (3) differed between burnt and unburnt sites, or (4) differed between three sub-regions with different rainfall gradients. Only one species showed evidence of spatial population synchrony and our results provide little evidence that rainfall synchronizes reptile populations. The oasis or the wildfire hypotheses were the best-fitting models for the other five species. Thus, our six study species appear generally to be structured in space into one or two populations across the study region. Our findings suggest that for arid-dwelling reptile populations, spatial and temporal dynamics are structured by abiotic events, but individual responses to covariates at smaller spatial scales are complex and poorly understood.
资源在空间上很少均匀分布,但许多物种呈现出空间同步的种群动态。这种同步性表明存在大规模的外部驱动因素在起作用,比如降雨或野火,或者是提供水、庇护所或其他资源的绿洲地点的影响。然而,检验这些因素的普遍性并不容易,尤其是在多变的环境中。利用来自澳大利亚中部干旱地区一个大型(8000平方千米)研究区域的长期数据集(13 - 22年),我们首先检验了九个相隔甚远地点的年降雨量区域同步性以及六种爬行动物的动态。对于呈现同步空间动态的物种,我们随后使用多元自回归状态空间(MARSS)模型预测区域降雨量与它们的种群呈正相关。对于不同步的物种,我们使用MARSS模型探索其他四种可能的种群结构:(1)种群不同步,(2)绿洲和非绿洲地点的种群不同,(3)火烧地和未火烧地的种群不同,或者(4)三个具有不同降雨梯度的子区域的种群不同。只有一个物种显示出空间种群同步的证据,并且我们的结果几乎没有提供降雨使爬行动物种群同步的证据。绿洲或野火假说对于其他五个物种是拟合度最好的模型。因此,我们研究的六个物种在整个研究区域内总体上似乎在空间上被划分为一两个种群。我们的研究结果表明,对于干旱地区的爬行动物种群,其空间和时间动态由非生物事件构建,但在较小空间尺度上个体对协变量的反应复杂且了解甚少。