Macrosystems 16S rRNA Genes for Bacteria and Archaea at HJA, HFR, BCI, CWT, LUQ, and NWT - UPARSE Resample 20K

Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. This data set captures temperature-dependent latitudinal microbial diversity sampled for in forest soils based on taxonomic and phylogenetic diversity observed on 16S rRNA genes for bacteria and archaea by the University of Oklahoma Institute for Environmental Genomics as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.

生物多样性（biodiversity）格局，如向热带地区递增的分布规律、以及生态演替（ecological succession）过程中的峰值曲线，是生态学领域的核心基础现象。这类格局的成因复杂且相互关联，无论针对微生物、树木、哺乳类等各类生物，还是陆地、海洋、淡水各类生境，温度均为主导性驱动因素。然而，尽管全球气温持续上升，预测其影响的需求愈发迫切，学界对其背后的作用机制仍未达成广泛共识。
本项目旨在构建并验证相关理论，以阐明温度如何通过影响生化过程与代谢速率（metabolic rate），进而作用于生物多样性。本研究结合野外标准化调查与野外、实验室可控实验，对沿温度梯度（从寒温带至暖热带）分布的7片森林中的3类生物类群——树木、无脊椎动物与微生物——的多样性，以及分解作用相关的关键生物地球化学过程（biogeochemical processes）进行测定。
本数据集收录了森林土壤中与温度相关的纬度梯度微生物多样性数据，相关数据由俄克拉荷马大学环境基因组学研究所（University of Oklahoma Institute for Environmental Genomics）在国家科学基金会（National Science Foundation）合作协议DEB#1065836资助的大系统生物多样性与纬度项目中测得，基于细菌与古菌的16S rRNA基因（16S rRNA gene）测序得到的分类学（taxonomic）与系统发育（phylogenetic）多样性。