five

Data from: Global drivers of tree seedling establishment at alpine treelines in a changing climate

收藏
DataONE2018-05-17 更新2024-06-08 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:
Alpine and Arctic treeline expansion depends on establishment of tree seedlings beyond the current treeline, which is expected to occur with climate warming. However, treelines often fail to respond to higher temperatures, and it is therefore likely that other environmental factors are important for seedling establishment. We aimed to analyse our current understanding of how temperature and a range of other environmental drivers affect tree seedling establishment at the alpine and Arctic treelines worldwide, and to assess the relative importance of temperature compared with other factors and how they interact. We collected 366 observations from 76 experimental and observational papers for a qualitative analysis of the role of a wide range of environmental factors on tree seed germination, tree seedling growth, survival and natural occurrence. For a subset of these studies, where the experimental design allowed, we conducted formal meta-analyses to reveal if there were global drivers for different seedling life traits. The analyses showed that a wide range of abiotic and biotic factors affected tree seedling establishment besides from temperature, including water, snow, nutrients, light, and surrounding vegetation. The meta-analyses showed that different seedling life stages do not respond similarly to environmental factors. For example, temperature had positive effects on growth, while tree seedling survival and germination showed mixed responses to warming. Further, warming was as often as not the strongest factor controlling tree seedling establishment, when compared to with one of five other environmental factors. Moreover, warming effects often depended on other factors such as moisture or the presence of surrounding vegetation. Our results suggests that population dynamics of trees at the alpine and Arctic treeline are responsive to environmental changes and show that there is a clear need for multi-factorial studies if we want to fully understand and predict the interplay between warming and other environmental factors and their effect on tree seedling establishment across current treelines.
创建时间:
2018-05-17
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

Photovoltaic power plant data

包括经纬度、电源板模型、NWP等信息。

github 收录

ShapeNet

ShapeNet 是由斯坦福大学、普林斯顿大学和美国芝加哥丰田技术研究所的研究人员开发的大型 3D CAD 模型存储库。该存储库包含超过 3 亿个模型,其中 220,000 个模型被分类为使用 WordNet 上位词-下位词关系排列的 3,135 个类。 ShapeNet Parts 子集包含 31,693 个网格,分为 16 个常见对象类(即桌子、椅子、平面等)。每个形状基本事实包含 2-5 个部分(总共 50 个部分类)。

OpenDataLab 收录

中国充电工况-充电站实采数据

通过对国内充电站信息的采集收录,形成中国充电工况数据库。可依据平台中真实、全面、有效的充电桩典型型号分布数据,为新能源相关企业提供有效的解决方案和关键性的技术支持。

北方大数据交易中心 收录

THCHS-30

“THCHS30是由清华大学语音与语言技术中心(CSLT)发布的开放式汉语语音数据库。原始录音是2002年在清华大学国家重点实验室的朱晓燕教授的指导下,由王东完成的。清华大学计算机科学系智能与系统,原名“TCMSD”,意思是“清华连续普通话语音数据库”,时隔13年出版,由王东博士发起,并得到了教授的支持。朱小燕。我们希望为语音识别领域的新研究人员提供一个玩具数据库。因此,该数据库对学术用户完全免费。整个软件包包含建立中文语音识别所需的全套语音和语言资源系统。”

OpenDataLab 收录

HazyDet

HazyDet是由解放军工程大学等机构创建的一个大规模数据集,专门用于雾霾场景下的无人机视角物体检测。该数据集包含383,000个真实世界实例,收集自自然雾霾环境和正常场景中人工添加的雾霾效果,以模拟恶劣天气条件。数据集的创建过程结合了深度估计和大气散射模型,确保了数据的真实性和多样性。HazyDet主要应用于无人机在恶劣天气条件下的物体检测,旨在提高无人机在复杂环境中的感知能力。

arXiv 收录