Generation length of the world's amphibians and reptiles

Variation in life histories influences demographic processes, from adaptive changes to population declines leading to extinction. Among life history traits, generation length offers a critical feature to forecast species’ demographic trajectories such as population declines (widely used by the IUCN Red List) and adaptability to environmental change over time. Therefore, estimates of generation length are crucial to monitor demographic stability or predict future changes in highly threatened organisms, particularly amphibians and reptiles, which are particularly threatened among vertebrates and for which uncertainty in future impacts remains high. Despite its importance, generation length for amphibians and reptiles is largely missing. Here, we aim to fill-in this gap by modeling generation lengths for amphibians, squamates and testudines as a function of species size, climate, life history, and phylogeny using generalized additive models and phylogenetic generalized least squares. We es..., , , # Generation length of the world's amphibians and reptiles

[https://doi.org/10.5061/dryad.w0vt4b93t](https://doi.org/10.5061/dryad.w0vt4b93t)

## Description of the data and file structure

### Files and variables

#### File: amphibian\_full\_data.csv

**Description:** 

##### Variables

* scientificName: (character) species binomial
* generation_length_y: (numeric) average generation length in years
* source_GL: (character) source of generation length
* generation_length_y.pgls: (numeric) average generation length in years predicted by PGLS
* generation_length_y.gam: (numeric) average generation length in years predicted by GAM
* Body_mass_g: (numeric) species body mass in grams, NAs represent missing data
* source_bodymass: (character) source of body mass, NAs represent missing data
* SVL_mm: (numeric) species snout-vent length in mm, NAs represent missing data
* source_SVL: (character) source of SVL, NAs represent missing data
* bio01: (numeric) annual temperature in °C
* bio04: (n...,

生物生活史的差异会影响种群动态过程，涵盖从适应性变化到引发灭绝的种群衰退等多个维度。在各类生活史性状中，世代长度（generation length）是预测物种种群动态轨迹的关键指标——这类轨迹包括种群衰退（该指标已被世界自然保护联盟红色名录(IUCN Red List)广泛采用）以及物种随时间推移对环境变化的适应能力。因此，估算世代长度对于监测受高度威胁物种的种群稳定性、预测其未来变化至关重要。其中两栖动物与爬行动物在脊椎动物中受威胁程度尤高，且其未来所受影响的不确定性仍居高不下。尽管世代长度的重要性不言而喻，但目前两栖类与爬行类的世代长度数据仍大量缺失。本研究旨在填补这一研究空白，我们将通过广义加性模型（generalized additive models, GAM）与系统发育广义最小二乘法（phylogenetic generalized least squares, PGLS），以物种体型、气候、生活史及系统发育为影响因子，对两栖类、有鳞目（squamates）与龟鳖目（testudines）的世代长度进行建模。我们将……（原文此处内容截断），，，# 全球两栖动物与爬行动物的世代长度

[https://doi.org/10.5061/dryad.w0vt4b93t](https://doi.org/10.5061/dryad.w0vt4b93t)

## 数据与文件结构说明

### 文件与变量

#### 文件：amphibian_full_data.csv

**描述：**

##### 变量说明
* scientificName：（字符型）物种双名法名称
* generation_length_y：（数值型）以年为单位的平均世代长度
* source_GL：（字符型）世代长度数据来源
* generation_length_y.pgls：（数值型）通过系统发育广义最小二乘法（PGLS）预测得到的以年为单位的平均世代长度
* generation_length_y.gam：（数值型）通过广义加性模型（GAM）预测得到的以年为单位的平均世代长度
* Body_mass_g：（数值型）以克为单位的物种体质量，NA代表缺失数据
* source_bodymass：（字符型）体质量数据来源，NA代表缺失数据
* SVL_mm：（数值型）以毫米为单位的吻肛长（snout-vent length, SVL），NA代表缺失数据
* source_SVL：（字符型）吻肛长数据来源，NA代表缺失数据
* bio01：（数值型）年平均气温，单位为摄氏度
* bio04：（n……（原文此处内容截断）