评估古生态记录中与生态基线的距离和随时间变化的指南

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
O. Burge, S. Richardson, Jamie R. Wood, J. Wilmshurst
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引用次数: 1

摘要

古生态学为建立生态“基线”提供了关键数据,可以指导恢复工作并用于评估生态系统变化。然而,统计分析可能具有挑战性,因为建立古生态基线的方法很多,而且缺乏实际指导,特别是在量化包括自然变率在内的基线方面。我们提供了一个解决方案,通过提供指导和R包基线来使用古生态数据来(i)定义基线和(ii)测试随时间的变化,包括可变性。这些方法为单分类分析提供了另一种选择,并允许捕获生态系统的复杂性。我们使用已发表的花粉记录作为案例研究,展示了如何在新西兰的7个地点建立植被基线,这些地点相对较近(约公元1280年),全国各地几乎同时有人类定居,可以将前人类时代的背景环境干扰与人为干扰区分开来。我们提出了计算与初始样本的距离的方法,在协调空间中与基线的距离,允许纳入生态系统变异性,并使用主曲线分析随时间的变化率。我们发现传统和贝叶斯排序方法产生了相似的结果,并且在识别人类定居后的变化方面是有效的,尽管可能存在正均值方差关系来混淆结果。主响应曲线对已知时期火山喷发引起的植被扰动最为敏感。我们提出的方法、案例研究和R包基线旨在提供一套工具,鼓励并使古生态学家能够使用古生态数据来评估轨迹和随时间的变化,并监测历史管理行动是否促进了向预期基线状态的方向变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A guide to assess distance from ecological baselines and change over time in palaeoecological records
Palaeoecology provides critical data for establishing ecological ‘baselines’, which can guide restoration efforts and be used to assess ecosystem change. However, statistical analyses can be challenging because of the large number of methods available for establishing palaeoecological baselines combined with a lack of practical guidance, particularly around quantifying baselines that include natural variability. We contribute one solution by providing guidance and an R package baselines for using palaeoecological data to (i) define baselines and (ii) test for change over time that incorporates variability. These methods provide an alternative to single-taxon analyses and allow ecosystem complexity to be captured. We use published pollen records as case studies to demonstrate how to establish vegetation baselines for seven localities in New Zealand where relatively recent (c. 1280 AD) and near-simultaneous human settlement across the country allows background environmental disturbance in the pre-human era to be distinguished from anthropogenic disturbance. We present methods for calculating distance from initial sample, distance from baseline in ordination space, allowing incorporation of ecosystem variability, and analysis of rates of change over time using principal curves. We found conventional and Bayesian ordination methods yielded similar results and were effective at identifying change following human settlement, despite the potential for a positive mean-variance relationship to confound results. Principal response curves were most sensitive to a known period of vegetation disturbance caused by volcanic eruptions at two sites with tephra deposits. Our proposed methods, case study and R package baselines are designed to provide a suite of tools to encourage and enable palaeoecological data to be used by palaeoecologists to assess trajectories and change over time, and monitor whether historical management actions have facilitated a change in direction towards a desired baseline state.
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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