Department of Integrative Biology, University of Colorado, Denver, Colorado, 80217, USA.
Department of Natural Resources and Environmental Science, University of Nevada, Reno, Nevada, 89557, USA.
Ecology. 2019 Dec;100(12):e02885. doi: 10.1002/ecy.2885. Epub 2019 Oct 10.
The study of community succession is one of the oldest pursuits in ecology. Challenges remain in terms of evaluating the predictability of succession and the reliability of the chronosequence methods typically used to study community development. The research of William S. Cooper in Glacier Bay National Park is an early and well-known example of successional ecology that provides a long-term observational data set to test hypotheses derived from space-for-time substitutions. It also provides a unique opportunity to explore the importance of historical contingencies and as an example of a revitalized historical study system. We test the textbook successional trajectory in Glacier Bay and evaluate long-term plant community development via primary succession through extensive fieldwork, remote sensing, dendrochronological methods, and newly discovered data that fills in data gaps (1940s to late 1980s) in continuous measurement over 100+ years. To date, Cooper's quadrats do not support the classic facilitation model of succession in which a sequence of species interacts to form predictable successional trajectories. Rather, stochastic early community assembly and subsequent inhibition have dominated; most species arrived shortly after deglaciation and have remained stable for 50+ years. Chronosequence studies assuming prior composition are thus questionable, as no predictable species sequence or timeline was observed. This underscores the significance of assumptions about early conditions in chronosequences and the need to defend such assumptions. Furthermore, this work brings a classic study system in ecology up to date via a plot size expansion, new baseline biogeochemical data, and spatial mapping for future researchers for its second century of observation.
群落演替的研究是生态学中最古老的课题之一。在评估演替的可预测性和通常用于研究群落发展的定年序列方法的可靠性方面,仍然存在挑战。威廉·S·库珀 (William S. Cooper) 在冰川湾国家公园的研究是演替生态学的早期和著名范例,它提供了一个长期的观测数据集,可用于测试从时空替代中得出的假设。它还提供了一个探索历史偶然性重要性的独特机会,并作为一个复兴的历史研究系统的范例。我们通过广泛的野外工作、遥感、树木年代学方法以及新发现的数据(填补了连续测量 100 多年以上的 1940 年代至 80 年代末的数据空白)来检验冰川湾的教科书演替轨迹,并评估长期植物群落的发展情况。到目前为止,库珀的样方并不支持演替的经典促进模型,即一系列物种相互作用形成可预测的演替轨迹。相反,随机的早期群落组装和随后的抑制占主导地位;大多数物种在冰川消融后不久就到达了这里,并在 50 多年的时间里保持稳定。因此,假设先前组成的定年序列研究值得怀疑,因为没有观察到可预测的物种序列或时间表。这突显了定年序列中对早期条件的假设的重要性,以及捍卫这些假设的必要性。此外,这项工作通过扩大样方面积、新的基线生物地球化学数据以及为未来研究人员进行空间制图,使这一经典的生态学研究系统在其第二个百年观测期内与时俱进。