Tropical Forest and People Research Centre, University of the Sunshine Coast, Sippy Downs, 4556 Queensland, Australia.
Department of Ecology and Evolution, University of Connecticut, Storrs, CO 06269, USA.
Philos Trans R Soc Lond B Biol Sci. 2023 Jan 2;378(1867):20210069. doi: 10.1098/rstb.2021.0069. Epub 2022 Nov 14.
Given the importance of species diversity as a tool for assessing recovery during forest regeneration and active restoration, robust approaches for assessing changes in tree species diversity over time are urgently needed. We assessed changes in tree species diversity during natural regeneration over 12-20 years in eight 1-ha monitoring plots in NE Costa Rica, six second-growth forests and two old-growth reference forests. We used diversity profiles to show successional trajectories in measures of observed, asymptotic and standardized tree diversity and evenness as well as sample completeness. We randomly subsampled 1-ha plot data to evaluate how well smaller spatial subsamples would have captured temporal trajectories. Annual surveys in eight 1-ha plots were missing substantial numbers of rare or infrequent species. Older second-growth sites showed consistent declines in tree diversity, whereas younger sites showed fluctuating patterns or increases. Subsample areas of 0.5 ha or greater were sufficient to infer the diversity of abundant species, but smaller subsamples failed to capture temporal trajectories of species richness and yielded positively biased estimates of evenness. In tropical forest regions with high levels of diversity, species diversity from small sample plots should be assessed using methods that incorporate abundance information and that standardize for sample coverage. This article is part of the theme issue 'Understanding forest landscape restoration: reinforcing scientific foundations for the UN Decade on Ecosystem Restoration'.
鉴于物种多样性作为评估森林再生和主动恢复过程中恢复情况的工具的重要性,迫切需要稳健的方法来评估树木物种多样性随时间的变化。我们在哥斯达黎加东北部的 8 个 1 公顷监测样地中评估了 12-20 年内天然再生过程中树木物种多样性的变化,这 8 个样地包括 6 个次生林和 2 个原始林参考森林。我们使用多样性剖面来展示观测到的、渐近的和标准化的树木多样性和均匀度以及样本完整性的演替轨迹。我们随机抽取了 1 公顷样地的数据进行亚样本分析,以评估较小的空间亚样本在多大程度上可以捕捉到时间轨迹。在 8 个 1 公顷的样地中,每年的调查都缺少大量的稀有或不常见的物种。较老的次生林样地显示出树木多样性持续下降,而较年轻的样地则显示出波动或增加的模式。0.5 公顷或更大的亚样本区域足以推断丰富物种的多样性,但较小的亚样本无法捕捉物种丰富度的时间轨迹,并且对均匀度产生了正向偏差的估计。在具有高多样性的热带森林地区,应该使用结合了丰富度信息并标准化样本覆盖率的方法来评估小样本区域的物种多样性。本文是“理解森林景观恢复:为联合国生态系统恢复十年加强科学基础”主题专刊的一部分。