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Palynological perspectives on vegetation survey: a critical step for\ud model-based reconstruction of Quaternary land cover

机译:植被调查的孢粉学观点:\ ud的关键一步 模型的第四纪土地覆被重建

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摘要

1. Quantitative reconstruction of past vegetation distribution and abundance from sedimentary pollen\udrecords provides an important baseline for understanding long term ecosystem dynamics and for the\udcalibration of earth system process models such as regional-scale climate models, widely used to predict\udfuture environmental change. Most current approaches assume that the amount of pollen produced by\udeach vegetation type, usually expressed as a relative pollen productivity term, is constant in space and\udtime.\ud2. Estimates of relative pollen productivity can be extracted from extended R-value analysis (Parsons\udand Prentice, 1981) using comparisons between pollen assemblages deposited into sedimentary contexts,\udsuch as moss polsters, and measurements of the present day vegetation cover around the sampled\udlocation. Vegetation survey method has been shown to have a profound effect on estimates of model\udparameters (Bunting and Hjelle, 2010), therefore a standard method is an essential pre-requisite for\udtesting some of the key assumptions of pollen-based reconstruction of past vegetation; such as the\udassumption that relative pollen productivity is effectively constant in space and time within a region or\udbiome.\ud3. This paper systematically reviews the assumptions and methodology underlying current models of\udpollen dispersal and deposition, and thereby identifies the key characteristics of an effective vegetation\udsurvey method for estimating relative pollen productivity in a range of landscape contexts.\ud4. It then presents the methodology used in a current research project, developed during a practitioner\udworkshop. The method selected is pragmatic, designed to be replicable by different research groups,\udusable in a wide range of habitats, and requiring minimum effort to collect adequate data for model\udcalibration rather than representing some ideal or required approach. Using this common methodology\udwill allow project members to collect multiple measurements of relative pollen productivity for major\udplant taxa from several northern European locations in order to test the assumption of uniformity of\udthese values within the climatic range of the main taxa recorded in pollen records from the region.
机译:1.定量重建过去的植被分布和沉积花粉\ udrecord的丰度为理解长期的生态系统动态以及地球系统过程模型(例如区域尺度气候模型)的\ ued校准提供了重要的基线,该模型广泛用于预测\未来的环境更改。当前大多数方法都假定\ udeach植被类型产生的花粉量(通常表示为相对花粉生产力术语)在空间和\ udtime中是恒定的。相对花粉生产力的估计值可以通过扩展R值分析(Parsons \ udand Prentice,1981)使用沉积在沉积环境中的花粉组合(例如苔藓粉)和当前采样周围植被的测量值之间的比较来提取(分配。植被调查方法已显示出对模型\ udparameters的估计有深远的影响(Bunting和Hjelle,2010年),因此标准方法是\ udtest检验过去基于花粉重建的一些关键假设的必要前提。植被;例如,\假定在某个区域或\ udbiome中相对花粉生产率在空间和时间上实际上是恒定的。\ ud3。本文系统地回顾了\ udpollen扩散和沉积模型的当前模型所基于的假设和方法,从而确定了一种有效的植被\ udsurvey方法的关键特征,该方法可以估算各种景观环境下的相对花粉生产力。然后介绍了在从业人员\ udworkshop期间开发的当前研究项目中使用的方法。所选择的方法是实用的,旨在由不同的研究小组复制,可以在广泛的栖息地中使用,并且需要最小的努力来收集足够的数据以进行模型/校准,而不是代表某些理想或必需的方法。使用这种通用方法\ ud,项目成员可以从北欧多个地点收集主要\植物类群相对花粉生产力的多种测量值,以测试在花粉中记录的主要分类群气候范围内\ these值的均一性假设该地区的记录。

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