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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集成在地理产产相关方面

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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 km~2), 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：在大多数全新世中，欧洲的森林已经被人类活动所陈过大剧。森林结构的变化，树种和森林生物多样性的分布部分受到管理历史的一部分驱动，并由前管理层产生许多当前的森林类型。跨学科项目“国家中长期林地中欧动态：从估计到真实模型”（LONGWOOD）旨在重建林地覆盖，结构和管理的长期动态东部捷克共和国（摩拉维亚，约27000公里〜 2），比较森林历史和现在的状态，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。在过去7500年中，古代，古代，考古，历史和生态信息，物种组成和人类活动（管理，沉降密度），并以地理数据库的形式集成。将不同的原点，规模，空间精度和细节的数据组合到一个地理数据库中的一个具有挑战性的任务。数据的水平，信息内容和时空分布在数据源和数据本身的性质之间的层以及各个记录之间变化。直到CA的有限和不完整的信息来源。 1100广告在森林历史上为森林历史提供较大的观点，而历史时期（特别是50岁以上）被大量精确定位的生态和历史数据所涵盖，从而实现了详细的空间和时间分析。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，海拔和其他衍生自DEM的地形变量有关）和社会历史数据（结算分布，人口密度，土地使用）。将建立一种时空森林景观模型来评估森林变化和变革的主要驱动因素。

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