Department of Physiological Diversity, Helmholtz Center for Environmental Research (UFZ), D-04318, Leipzig, Germany.
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, D-04103, Leipzig, Germany.
Ecology. 2020 Sep;101(9):e03104. doi: 10.1002/ecy.3104. Epub 2020 Jun 26.
Environmental conditions that vary from year to year can be strong drivers of ecological dynamics, including the composition of newly assembled communities. However, ecologists often chalk such dynamics up to "noise" in ecological experiments. Our lack of attention to such "year effects" hampers our understanding of contingencies in ecological assembly mechanisms and limits the generalizability of research findings. Here, we provide examples from published research demonstrating the importance of year effects during community assembly across study systems. We further quantify these year effects with two case studies-a grassland restoration experiment and a study of postfire conifer recruitment-finding that the effects of initiation year on community composition can dictate community as much, if not more, than the effects of experimental treatments or site. The evidence strongly suggests that year effects are pervasive and profound, and that year effects early in community assembly can drive strong and enduring divergence in community structure and function. Explicit attention to year effects in ecological research serves to illuminate basic ecological principles, allowing for better understanding of contingencies in ecology. These dynamics also have strong implications for applied ecological research, offering new insights into ecological restoration as well as future climate change.
环境条件的年际变化可能是生态动态的主要驱动因素,包括新组装社区的组成。然而,生态学家通常将这种动态归因于生态实验中的“噪声”。我们对这种“年效应”缺乏关注,阻碍了我们对生态组装机制中偶然性的理解,并限制了研究结果的普遍性。在这里,我们提供了一些来自已发表研究的例子,这些例子表明在不同的研究系统中,群落组装过程中的年际效应的重要性。我们进一步通过两个案例研究来量化这些年际效应——一个是草原恢复实验,另一个是火灾后针叶树繁殖的研究——发现起始年份对群落组成的影响与实验处理或地点的影响一样大,甚至更大。这一证据强烈表明,年际效应是普遍存在且深远的,群落组装早期的年际效应可以驱动群落结构和功能的强烈和持久的分歧。在生态研究中明确关注年际效应有助于阐明基本的生态原则,从而更好地理解生态学中的偶然性。这些动态也对应用生态研究具有重要意义,为生态恢复以及未来的气候变化提供了新的见解。