Gillson L, Duffin K I
Environmental Change Institute, Oxford University Centre for the Environment, South Parks Road, Oxford OX1 3QY, UK.
Philos Trans R Soc Lond B Biol Sci. 2007 Feb 28;362(1478):309-19. doi: 10.1098/rstb.2006.1988.
In the Kruger National Park (KNP), South Africa, ecosystem managers use a series of monitoring endpoints, known as thresholds of potential concern (TPCs), to define the upper and the lower levels of accepted variation in ecosystems. For woody vegetation, the current TPC suggests that woody cover should not drop by more than 80% of its 'highest ever' value. In this paper, we explore the utility of palaeoecological data in informing TPCs. We use calibrated fossil pollen data to explore variability in vegetation at two sites over the past 5000 years, to provide a long-term record of changes in woody vegetation cover and a context for interpreting more recent vegetation change. The fossil pollen data are calibrated using studies of modern pollen and vegetation from KNP; arboreal pollen percentage was simulated using pollen-landscape modelling software for savannah landscapes of varying woody vegetation cover, and the relationship between vegetation and pollen data was quantified using nonlinear regression. This quadratic equation was then applied to fossil pollen data in order to estimate woody vegetation cover from arboreal pollen percentages. Our results suggest that the TPCs have not been exceeded during the period represented in the pollen record, because estimated woody vegetation cover has remained above 20% of its highest ever value. By comparing the fossil pollen data with TPCs, our study demonstrates how palaeoecological data can be presented in a form that is directly relevant to management objectives.
在南非的克鲁格国家公园(KNP),生态系统管理者使用一系列监测端点,即潜在关注阈值(TPCs),来定义生态系统中可接受变化的上限和下限。对于木本植被,当前的TPC表明木本覆盖度下降不应超过其“历史最高”值的80%。在本文中,我们探讨了古生态数据在为TPC提供信息方面的作用。我们使用经过校准的化石花粉数据来研究过去5000年里两个地点植被的变异性,以提供木本植被覆盖度变化的长期记录,并为解释近期植被变化提供背景信息。化石花粉数据通过对KNP现代花粉和植被的研究进行校准;利用花粉景观建模软件对不同木本植被覆盖度的稀树草原景观模拟树木花粉百分比,并使用非线性回归对植被与花粉数据之间的关系进行量化。然后将这个二次方程应用于化石花粉数据,以便从树木花粉百分比估计木本植被覆盖度。我们的结果表明,在花粉记录所代表的时期内,TPCs未被突破,因为估计的木本植被覆盖度一直保持在其历史最高值的20%以上。通过将化石花粉数据与TPCs进行比较,我们的研究展示了古生态数据如何以与管理目标直接相关的形式呈现。