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LONGWOOD - integrating woodland history and ecology in a geodatabase through an interdisciplinary approach

机译:LONGWOOD-通过跨学科方法将林地历史和生态整合到地理数据库中

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摘要

Forests in Europe have been shaped considerably by human activities during most of the Holocene. Changes in forest structure, distribution of tree species and forest biodiversity are partly driven by management history, and many current forest types result from former management. The interdisciplinary project "Long-term woodland dynamics in Central Europe: from estimations to a realistic model" (LONGWOOD) aims to reconstruct long-term dynamics of woodland cover, structure and management in the eastern Czech Republic (Moravia, ca. 27,000 km2), compare the historical and present state of forests, and analyze general patterns of changes and stability of woodlands as well as the role of humans in these processes. In the LONGWOOD project, palaeoecological, archaeological, historical and ecological sources of information on woodland cover, species composition, and human activities (management, settlement density) over the past 7500 years are collected and integrated in the form of a geodatabase. Combining data of different origin, scale, degree of spatial precision and detail into a single geodatabase is a challenging task. The level of detail, information content, and spatio-temporal distribution of data varies between layers as well as individual records according to the nature of the data source and the data itself. The limited and incomplete sources of information until ca. 1100 AD provide a coarser view on forest history while the historical period (especially the past ca. 250 years) is covered by large amounts of precisely located ecological and historical data enabling detailed spatial and temporal analyses. Data on forest structure, history and management will be related to environmental factors (soil type, climate, elevation and other topographic variables derived from DEM) and social historical data (settlement distribution, population density, landuse). A spatio-temporal forest landscape model will be built to assess the forest changes and the main drivers of change.
机译:在大多数全新世期间,欧洲的森林已经受到人类活动的极大影响。森林结构的变化,树木种类的分布和森林生物多样性的变化在一定程度上受经营历史的驱动,而许多当前的森林类型则源于先前的经营。跨学科项目“中欧的长期林地动态:从估计到现实模型”(LONGWOOD)旨在重建捷克共和国东部(摩拉维亚,约27,000公里< sup> 2 ),比较森林的历史和现状,并分析林地变化和稳定性的一般模式以及人类在这些过程中的作用。在LONGWOOD项目中,收集了过去7500年中有关林地覆盖率,物种组成和人类活动(管理,居住密度)的古生态,考古,历史和生态信息资源,并以地理数据库的形式进行了整合。将不同来源,规模,空间精度和细节程度的数据组合到单个地理数据库中是一项艰巨的任务。数据的详细程度,信息内容和时空分布根据数据源和数据本身的性质在层之间以及各个记录之间有所不同。有限的和不完整的信息来源,直到大约公元1100年提供了森林历史的粗略视图,而历史时期(尤其是过去的大约250年)被大量精确定位的生态和历史数据覆盖,从而可以进行详细的时空分析。关于森林结构,历史和管理的数据将与环境因素(土壤类型,气候,海拔和其他来自DEM的地形变量)和社会历史数据(定居分布,人口密度,土地利用)相关。将建立一个时空森林景观模型,以评估森林变化和变化的主要驱动力。

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