five

Data from: Hotter nests produce hatchling lizards with lower thermal tolerance

收藏
DataONE2017-04-05 更新2024-06-26 收录
下载链接:
https://search.dataone.org/view/null
下载链接
链接失效反馈
资源简介:
In many regions, the frequency and duration of summer heatwaves is predicted to increase in future. Hotter summers could result in higher temperatures inside lizard nests, potentially exposing embryos to thermally stressful conditions during development. Potentially, developmentally plastic shifts in thermal tolerance could allow lizards to adapt to climate warming. To determine how higher nest temperatures affect the thermal tolerance of hatchling geckos, we incubated the eggs of the rock-dwelling velvet gecko, Amalosia lesueurii, at two fluctuating temperature regimes to mimic current nest temperatures (mean = 23.2C, range 10-33C, cold) and future nest temperatures (mean = 27.0C, range 14-37C, hot). Hatchlings from hot-temperature incubation hatched 27 days earlier and had a lower critical thermal maximum (38.7C) and a higher critical thermal minimum (6.2C) than hatchlings from cold-temperature incubation (40.2C and 5.7C, respectively). In the field, hatchlings typically settle under rocks near communal nests. During the hatching period, rock temperatures ranged from 13-59C, and regularly exceeded the CTmax of both hot- and cold-incubated hatchlings. Because rock temperatures were so high, the heat tolerance of lizards had little effect on their ability to exploit rocks as retreat sites. Instead, the timing of birth dictated whether lizards could exploit rocks as retreat sites; that is, cold-incubated lizards that hatched later encountered less thermally stressful environments than earlier hatching hot-incubated lizards. In conclusion, we found no evidence that CTmax can shift upwards in response to higher incubation temperatures, suggesting that hotter summers may increase the vulnerability of lizards to climate warming.
创建时间:
2017-04-05
用户留言
有没有相关的论文或文献参考?
这个数据集是基于什么背景创建的?
数据集的作者是谁?
能帮我联系到这个数据集的作者吗?
这个数据集如何下载?
点击留言
数据主题
具身智能
数据集  4099个
机构  8个
大模型
数据集  439个
机构  10个
无人机
数据集  37个
机构  6个
指令微调
数据集  36个
机构  6个
蛋白质结构
数据集  50个
机构  8个
空间智能
数据集  21个
机构  5个
5,000+
优质数据集
54 个
任务类型
进入经典数据集
热门数据集

中国区域交通网络数据集

该数据集包含中国各区域的交通网络信息,包括道路、铁路、航空和水路等多种交通方式的网络结构和连接关系。数据集详细记录了各交通节点的位置、交通线路的类型、长度、容量以及相关的交通流量信息。

data.stats.gov.cn 收录

flames-and-smoke-datasets

该仓库总结了多个公开的火焰和烟雾数据集,包括DFS、D-Fire dataset、FASDD、FLAME、BoWFire、VisiFire、fire-smoke-detect-yolov4、Forest Fire等数据集。每个数据集都有详细的描述,包括数据来源、图像数量、标注信息等。

github 收录

OpenSonarDatasets

OpenSonarDatasets是一个致力于整合开放源代码声纳数据集的仓库,旨在为水下研究和开发提供便利。该仓库鼓励研究人员扩展当前的数据集集合,以增加开放源代码声纳数据集的可见性,并提供一个更容易查找和比较数据集的方式。

github 收录

Animals 10 种动物图像数据集

该数据集包含约 28K 个中等质量的动物图像,属于 10 个类别:狗、猫、马、蜘蛛、蝴蝶、鸡、羊、牛、松鼠、大象。

超神经 收录

Global Firepower Index (GFI)

Global Firepower Index (GFI) 是一个评估全球各国军事力量的综合指数。该指数考虑了超过50个因素,包括军事预算、人口、陆地面积、海军力量、空军力量、自然资源、后勤能力、地理位置等。数据集提供了每个国家的详细评分和排名,帮助分析和比较各国的军事实力。

www.globalfirepower.com 收录