Data and code from: Predicting the fundamental thermal niche of ectotherms

Climate warming is predicted to increase mean temperatures and thermal extremes on a global scale. Because their body temperature depends on the environmental temperature, ectotherms bear the full brunt of climate warming. Predicting the impact of climate warming on ectotherm diversity and distributions requires a framework that can translate temperature effects on ectotherm life history traits into population- and community-level outcomes. Here we present a mechanistic theoretical framework that can predict the fundamental thermal niche and climate envelope of ectotherm species based on how temperature affects the underlying life history traits. The advantage of this framework is two-fold. First, it can translate temperature effects on the phenotypic traits of individual organisms to population-level patterns observed in nature. Second, it can predict thermal niches and climate envelopes based solely on trait response data and hence completely independently of any population-level info..., Please see Sections 4.2.2 and 4.2.3 of the Simon and Amarasekare Ecology paper for details on the experiments and parameter estimation approach used to collect and process this dataset., , ```
## Description of the data and file structure
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This repository includes the following files:

Bagrada and harlequin data files containing the life history trait response data of the bagrada and harlequin bugs. These include the following files in csv format:

1\) **Bagrada-Amort**: columns are Temp.K (temperature in degrees Kelvin), Average.rate.per.day (average adult deaths per day), 95.CI.min (lower 95% confidence interval), 95.CI.max (upper 95% confidence interval), SE (standard error)

2\) **Bagrada-Fec**: columns are Temp.K (temperature in degrees Kelvin), Average.rate.per.day (average eggs laid per female per day), 95.CI.min (lower 95% confidence interval), 95.CI.max (upper 95% confidence interval), SE (standard error)

3\) **Bagrada-Jmort**: columns are Temp.K (temperature in degrees Kelvin), Average.rate.per.day (average juvenile deaths per day), 95.CI.min (lower 95% confidence interval), 95.CI.max (upper 95% confidence interval), SE (standard error)

4\) **Bagrada-MatRa...

气候变暖预计将在全球范围内提升平均气温与极端热事件强度。由于变温动物（ectotherms）的体温完全依赖环境温度，它们将承受气候变暖带来的全部冲击。若要预测气候变暖对变温动物多样性与分布的影响，需构建一套能够将温度对变温动物生活史性状的影响转化为种群及群落层面结果的理论框架。本文提出一套机制性理论框架，可基于温度对核心生活史性状的调控效应，预测变温动物物种的基础热生态位（fundamental thermal niche）与气候包络（climate envelope）。该框架具备双重优势：其一，可将温度对个体生物表型性状的影响，映射为野外观测得到的种群水平格局；其二，仅需性状响应数据即可预测热生态位与气候包络，完全无需任何种群层面的信息……有关本数据集收集与处理所用的实验方法及参数估计流程的详细内容，请参阅Simon与Amarasekare发表于《Ecology》期刊的论文第4.2.2与4.2.3节。

## 数据与文件结构说明
本数据集仓库包含以下文件：
涵盖斑蝽属（Bagrada）与斑色蝽（harlequin bug）的生活史性状响应数据，具体为以下csv格式文件：
1. **Bagrada-Amort**：列字段包括Temp.K（开尔文温度）、Average.rate.per.day（每日平均成虫死亡率）、95.CI.min（95%置信区间下限）、95.CI.max（95%置信区间上限）、SE（标准误）
2. **Bagrada-Fec**：列字段包括Temp.K（开尔文温度）、Average.rate.per.day（每雌每日平均产卵量）、95.CI.min（95%置信区间下限）、95.CI.max（95%置信区间上限）、SE（标准误）
3. **Bagrada-Jmort**：列字段包括Temp.K（开尔文温度）、Average.rate.per.day（每日平均幼体死亡率）、95.CI.min（95%置信区间下限）、95.CI.max（95%置信区间上限）、SE（标准误）
4. **Bagrada-MatRa...**