Pollen diversity captures landscape structure and diversity
Pollen diversity captures landscape structure and diversity
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DOI：
10.1111/1365-2745.12404
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发表时间：
2015-07
影响因子：
5.5
通讯作者：
Isabelle Matthias;M. Semmler;T. Giesecke
中科院分区：
文献类型：
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作者：
Isabelle Matthias;M. Semmler;T. Giesecke
过去植物和景观多样性的变化可以通过花粉分析来评估，然而，基于花粉的多样性指数可能会受到花粉产生和沉积差异的影响。因此，研究花粉和景观多样性之间的关系是必要的。本研究的目的是评估不同的花粉指数如何捕捉景观多样性。从勃兰登堡（德国东北部）50个中小型湖泊的表面样本中获得花粉计数，并将其汇编成两组，一组包含来自陆生植物的所有花粉计数，第二组仅限于风媒传粉类群。这两组调整花粉生产/分散的偏见使用的启示模型。利用高分辨率生境图提取总生境密度和单位面积不同生境密度作为描述景观多样性的参数。此外，树种多样性是从森林资源清查数据。香农指数和10个花粉粒样本中的分类群数量高度相关，并提供了一个有用的花粉类型多样性的衡量标准，最适合湖泊1公里内的景观多样性和7公里内非森林面积的比例。调整花粉生产/扩散的偏见，只有轻微改善花粉多样性和景观多样性之间的关系，为有限的数据集，以及森林资源清查数据和相应的花粉类型。使用稀疏分析，我们提出了以下约定：花粉类型多样性由小样本中的类型数（低计数，例如10）表示，花粉类型丰富度是大样本中的类型数（高计数，例如500），花粉样本均匀度由两者的比值表征。合成.花粉类型多样性是反映植被结构和景观多样性的一个强有力的指标。它非常适合于站点之间的比较，因为它不需要高花粉计数。与花粉类型丰富度和均匀度相一致，它有助于评估气候变化和人类土地利用对长时间尺度植被结构的影响。
Past changes in plant and landscape diversity can be evaluated through pollen analysis, however, pollen‐based diversity indexes are potentially biased by differential pollen production and deposition. Studies examining the relationship between pollen and landscape diversity are therefore needed. The aim of this study was to evaluate how different pollen‐based indexes capture aspects of landscape diversity. Pollen counts were obtained from surface samples of 50 small‐ to medium‐sized lakes in Brandenburg (north‐east Germany) and compiled into two sets, with one containing all pollen counts from terrestrial plants and the second restricted to wind‐pollinated taxa. Both sets were adjusted for the pollen production/dispersal bias using the REVEALS model. A high‐resolution biotope map was used to extract the density of total biotopes and different biotopes per area as parameters describing landscape diversity. In addition, tree species diversity was obtained from forest inventory data. The Shannon index and the number of taxa in a sample of 10 pollen grains are highly correlated and provide a useful measure of pollen type diversity which corresponds best to landscape diversity within one km of the lake and the proportion of non‐forested area within seven km. Adjustments of the pollen production/dispersal bias only slightly improve the relationships between pollen diversity and landscape diversity for the restricted data set as well as for the forest inventory data and corresponding pollen types. Using rarefaction analysis, we propose the following convention: pollen type diversity is represented by the number of types in a small sample (low count e.g. 10), pollen type richness is the number of types in a large sample (high count e.g. 500), and pollen sample evenness is characterized by the ratio of the two. Synthesis. Pollen type diversity is a robust index that captures vegetation structure and landscape diversity. It is ideally suited for between site comparisons as it does not require high pollen counts. In concert with pollen type richness and evenness, it helps evaluating the effect of climate change and human land use on vegetation structure on long timescales.