This paper provides a context for the use of anthropogenic palynology in the study of landscape and land use. Retrospective considerations indicate a history to current trends and inform future developments. Recent and prospective studies secure palynology as an essential element in archaeological and related environmental research. It is stressed that palynology is an inherently spatio-temporal discipline that can use concepts such as landscape or habitat heterogeneity as a future framework. This may be possible if recent advances in quantification of local vegetation cover, for example the use of model-based correction approaches within the Landscape Reconstruction Algorithm, are more widely applied. This may necessitate a change in how palynologists approach landscape sampling in order to produce sufficient clusters of sites. Land use is a key focus for the archaeologist, and existing interpretive frameworks remain well-suited to addressing questions of land use, land-use change and land-use intensity. Nevertheless, there is the prospect of improved taxonomic resolution on the horizon through the use of artificial intelligence, DNA and chemical approaches to taxonomic recognition. Equally, integrating pollen datasets into model testing and simulation may become more central to our methodologies. Such innovation will necessitate collaborative working with other disciplines and will ensure that anthropogenic palynology continues to make significant contributions to major research challenges.

中文翻译：

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古生物学、景观和土地利用：回顾、展望和研究议程

本文为在景观和土地利用研究中使用人为古生物学提供了背景。回顾性考虑表明当前趋势的历史并为未来的发展提供信息。最近的和前瞻性的研究确保了古生物学是考古学和相关环境研究的基本要素。需要强调的是，古生物学本质上是一门时空学科，可以使用景观或栖息地异质性等概念作为未来的框架。如果当地植被覆盖量化的最新进展（例如在景观重建算法中使用基于模型的校正方法）得到更广泛的应用，这可能是可能的。这可能需要改变古生物学家处理景观采样的方式，以产生足够的遗址集群。土地利用是考古学家的一个重点，现有的解释框架仍然非常适合解决土地利用、土地利用变化和土地利用强度等问题。尽管如此，通过使用人工智能、DNA 和化学方法进行分类识别，有望提高分类学分辨率。同样，将花粉数据集集成到模型测试和模拟中可能成为我们方法的核心。这种创新将需要与其他学科的合作，并将确保人为古生物学继续为重大研究挑战做出重大贡献。