ATP - Automated Intra-Annual Tree-Ring Profiling for Dendroecological Research

ATP - 用于树木生态学研究的自动年轮分析

基本信息

批准号：
269191667
负责人：
Professor Dr. Rolf Backofen
金额：
--
依托单位：
Professur für Waldwachstum und Dendroökologie
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2014
资助国家：
德国
起止时间：
2013-12-31 至 2018-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/269191667?language=en
关键词：
ATP Automated Intra Annual Tree

项目摘要

Tree-rings integrate and conserve precisely datable environmental information on the growing conditions of trees during the time of their development. Dendrochronology builds on the basic principle of cross-dating, i.e. the identification and synchronization of time specific patterns between multiple tree-ring sequences to develop absolutely dated tree-ring chronologies. The integration of statistical findings and consolidated knowledge about the relations between environmental factors and the tree growth response as manifested in the tree-ring structures serve as the basis for the reconstruction of past environmental conditions. Such tree-ring based studies provide significant contributions to the fields of climate reconstruction (dendroclimatology), reconstruction of human history (dendroarchaeology) and to a wide range of ecological aspects of the environment.Within this interdisciplinary project, we aim at implementing methods of pattern matching to the analysis of intra-annual tree-ring density profiles for dendrochronological and dendroecological research questions. The project joins the expert knowledge of the Dendroecology group (Prof. Spiecker et al.) in tree-ring based research with the extensive experience of the Bioinformatics group (Prof. Backofen et al.) concerning alignment and clustering method development for bioinformatics applications. Our activities are targeted towards the development of improved methods (1) to enhance environmental signal strength when aggregating multiple intra-annual tree-ring density profiles, (2) to generate high-resolution temporal annotations for intra-annual tree-ring positions, (3) to cross-date tree-ring sequences and build tree-ring chronologies.To this end, we will extend and improve our MICA approach (Multiple Interval-based Curve Alignment), which generates signal-enhanced consensus profiles building on established curve and sequence alignment techniques. Applied on the available extensive intra-annual tree-ring density data, we will generate spatial consensus profile chronologies for various tree species. Using appendant quasi-continuous point dendrometer data, temporal annotation of these intra-annual density data via dedicated MICA adaptions will result in time-annotated chronologies. Both types of chronologies are used to establish new alignment-based cross-dating techniques through the exploitation of intra-annual density profile information. Due to the extended information content of the latter compared to e.g. just ring-width, these new methods will require less sample material while enhancing dating precision. Finally, we will establish a pipeline to investigate the correlation of environmental factors with tree-ring density profiles. An initial study will focus on the application to probabilistically allocate a location or site to an un-located tree-ring sample. All tools and pipelines will be made publicly available and accompanied with extensive documentation.

树环在开发时整合并保存有关树木生长状况的精确数据环境信息。 Dendrosonology建立在交叉约会的基本原理上，即多个树环序列之间的时间特定模式的识别和同步，以开发绝对过时的树环时间类。统计发现和关于环境因素与树木生长反应之间关系之间关系的合并知识的整合，如树环结构中所示，是重建过去环境条件的基础。 Such tree-ring based studies provide significant contributions to the fields of climate reconstruction (dendroclimatology), reconstruction of human history (dendroarchaeology) and to a wide range of ecological aspects of the environment.Within this interdisciplinary project, we aim at implementing methods of pattern matching to the analysis of intra-annual tree-ring density profiles for dendrochronological and dendroecological research questions.该项目加入了基于树环研究的树突生态学小组的专家知识（Spiecker et al。教授），并具有生物信息学组的丰富经验（Beackofen等人），涉及生物信息学应用程序的一致性和聚类方法开发。我们的活动旨在开发改进的方法（1），以增强环境信号的强度，以汇总多个年度的树环密度谱时（（2），（2）生成了高分辨率的时间注释，以实现年内树环的位置，（3）以跨越树木的序列，并构建了contriend Interign and threign corter and contrim never and contrim neprail and cret liend cretal（我们的cremaa cret and cret live live cret live crema cret live crema cret live live live crema crema crema aa aa a，信号增强的共识曲线建立在已建立的曲线和序列比对技术上。应用于可用的广泛的年内树环密度数据，我们将为各种树种生成空间共识曲线时间。使用附录准连续点树状计数据，通过专用云母适应来对这些青年密度数据进行时间注释将导致时间播放时间表。两种类型的时间顺序都用于通过开发年度密度谱信息来建立新的基于对齐的交叉约会技术。由于后者的扩展信息与例如只是环宽，这些新方法将需要更少的样品材料，同时提高约会精度。最后，我们将建立一个管道来研究环境因素与树环密度曲线的相关性。最初的研究将集中在概率地将位置或位置分配给未确定的树木环样本的应用程序上。所有工具和管道都将公开可用，并伴随大量文档。