Effects of two key plant trait spectra on litter layer properties and habitat provision functions

Plant litter harbours a wide range of organisms, such as soil animals, microbes, vascular plants (including their seeds and seedlings), mosses, and lichens. While it is well-recognised that litter drives carbon and nutrient cycling through their traits related to the plant resource economics spectrum (PES), their explanatory power for predicting the litter-dwelling biological community has been very low. In this era of biodiversity change, litter habitat provisioning functions for myriad organisms should receive more research attention. 
A conceptual multivariate trait space defined by a physical trait axis related to the litter size and shape spectrum (SSS) and a biochemical trait axis (PES) has been proposed to explain habitat as well as nutrition functions for soil organisms. We aim to improve the explanatory power of litter traits for the litter-dwelling animal communities by testing this concept, and by connecting fundamental traits related to size and shape of single litter p..., , # Data from: Effects of two key plant trait spectra on litter layer properties and habitat provision functions

Dataset DOI: [10.5061/dryad.76hdr7t74](10.5061/dryad.76hdr7t74)

## Description of the data and file structure

### litter_variables sheet

The data sheet of litter variables includes all litter variables, including litter traits, single litter and litter pack properties, of the plant species we used in the study. 

Chemical traits include

* nitrogen content (% of dry mass),
* phosphorus content (% of dry mass),
* tannin content (% of dry mass),
* lignin content (mg g^-1^),
* carbon-to-nitrogen ratio (C:N), and
* pH.

Physical traits include

* leaf area (cm^2^),
* leaf volume (cm^3^),
* leaf thickness (mm),
* leaf curliness (mm),
* specific leaf area (SLA, cm^2^ g^-1^),
* leaf tissue density (LTD, mg cm^-3^),
* leaf dry matter content (LDMC, mg g^-1^),
* leaf dissection index (DI), and
* petiole width (mm).

PC1 and PC2 are the first and second axis of a principal component ...,

植物枯落物（plant litter）栖居着多种多样的生物类群，涵盖土壤动物、微生物、维管植物（包括其种子与幼苗）、苔藓以及地衣。尽管学界已广泛认可枯落物可通过与植物资源经济谱（Plant Resource Economics Spectrum, PES）相关的自身性状驱动碳循环与养分循环，但其在预测枯落物栖居生物群落方面的解释力却极低。在当前生物多样性变化的时代背景下，枯落物为无数生物提供栖息地的生态功能理应受到更多研究关注。

有研究提出了一个多变量性状空间的概念框架，该框架由与枯落物大小-形状谱（Size and Shape Spectrum, SSS）相关的物理性状轴，以及生化性状轴（即PES）共同构成，用以阐释土壤生物的栖息地与营养功能。本研究旨在验证这一概念，并通过关联与单一枯落物大小和形状相关的基础性状，提升枯落物性状对枯落物栖居动物群落的解释力。
# 数据来源：两种关键植物性状谱对枯落物层属性及栖息地提供功能的影响

数据集DOI：[10.5061/dryad.76hdr7t74](10.5061/dryad.76hdr7t74)

## 数据与文件结构描述

### 枯落物变量工作表（litter_variables sheet）
本枯落物变量数据表涵盖本研究中所用植物物种的全部枯落物变量，包括枯落物性状、单份枯落物及枯落物袋的相关属性。

化学性状包括：
* 氮含量（占干重百分比）
* 磷含量（占干重百分比）
* 单宁含量（占干重百分比）
* 木质素含量（mg g⁻¹）
* 碳氮比（carbon-to-nitrogen ratio, C:N）
* pH值

物理性状包括：
* 叶面积（cm²）
* 叶体积（cm³）
* 叶厚度（mm）
* 叶卷曲度（mm）
* 比叶面积（specific leaf area, SLA, cm² g⁻¹）
* 叶片组织密度（leaf tissue density, LTD, mg cm⁻³）
* 叶干物质含量（leaf dry matter content, LDMC, mg g⁻¹）
* 叶片分裂指数（dissection index, DI）
* 叶柄宽度（mm）

PC1与PC2分别为主成分分析的第一、第二轴……