five

Isolation drives species gains and losses of insect metacommunities over time in a mountaintop forest archipelago

收藏
Mendeley Data2024-05-17 更新2024-06-29 收录
下载链接:
https://zenodo.org/records/8321552
下载链接
链接失效反馈
资源简介:
Aim: We evaluated the effects of forest island size, isolation, and area in the landscape driving temporal changes of insect biodiversity in a mountaintop forest archipelago. We tested the following hypotheses: (i) changes in insect species composition is higher and dominated by species gains through time in smaller but less isolated forest islands; (ii) larger amounts of forest in the landscape result in higher gains of more vagile species over time, regardless of their size and isolation; (iii) heterogenization processes will prevail in less vagile groups, while homogenization processes will dominate in highly vagile groups due to differences in dispersal capability. Location: Espinhaço Range Biosphere Reserve, Brazil. Taxon: Insects. Methods: We used ants, dung beetles, bees, wasps, and butterflies as study models to represent a gradient of low-to-high dispersal capability. We evaluated the colonization- and extirpation-resultant components of temporal β-diversity using area- and isolation-related variables as predictors. Results: We found distinct colonization- and extirpation-resultant homogenization and heterogenization processes acting according to each insect group, likely due to different dispersal capabilities. Ants were dominated by species losses, with widespread and rare species being lost. Butterflies gained species, represented mainly by widespread species, leading to an increased colonization-resultant homogenization. Distance to neighboring forest islands was the underlying predictor affecting the temporal β-diversity of insect groups and on species gains and losses but differed according to the survey period. Effects of the forest amount in the landscape increased the temporal β-diversity of bees and butterflies but decreased that of ants, dung beetles, and wasps. Main Conclusions: We recommend conserving the forest amount in the landscape and keeping forest connectivity among forest islands since the temporal dynamics of local colonization and extirpation can depend on the organisms' dispersal capability. Fragmentation and habitat loss-related hypotheses will benefit from incorporating colonization-extirpation processes into their predictions.
创建时间:
2023-09-12
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

Figshare

Figshare是一个在线数据共享平台,允许研究人员上传和共享各种类型的研究成果,包括数据集、论文、图像、视频等。它旨在促进科学研究的开放性和可重复性。

figshare.com 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

NIST Thermochemical Database

NIST Thermochemical Database(NIST热化学数据库)是一个包含大量热化学数据的数据集,涵盖了各种化学物质的热力学性质,如焓、熵、自由能等。该数据库由美国国家标准与技术研究院(NIST)维护,旨在为科学研究和工业应用提供准确的热化学数据。

webbook.nist.gov 收录

中国1km分辨率逐月降水量数据集(1901-2024)

该数据集为中国逐月降水量数据,空间分辨率为0.0083333°(约1km),时间为1901.1-2024.12。数据格式为NETCDF,即.nc格式。该数据集是根据CRU发布的全球0.5°气候数据集以及WorldClim发布的全球高分辨率气候数据集,通过Delta空间降尺度方案在中国降尺度生成的。并且,使用496个独立气象观测点数据进行验证,验证结果可信。本数据集包含的地理空间范围是全国主要陆地(包含港澳台地区),不含南海岛礁等区域。为了便于存储,数据均为int16型存于nc文件中,降水单位为0.1mm。 nc数据可使用ArcMAP软件打开制图; 并可用Matlab软件进行提取处理,Matlab发布了读入与存储nc文件的函数,读取函数为ncread,切换到nc文件存储文件夹,语句表达为:ncread (‘XXX.nc’,‘var’, [i j t],[leni lenj lent]),其中XXX.nc为文件名,为字符串需要’’;var是从XXX.nc中读取的变量名,为字符串需要’’;i、j、t分别为读取数据的起始行、列、时间,leni、lenj、lent i分别为在行、列、时间维度上读取的长度。这样,研究区内任何地区、任何时间段均可用此函数读取。Matlab的help里面有很多关于nc数据的命令,可查看。数据坐标系统建议使用WGS84。

国家青藏高原科学数据中心 收录

SWaT Dataset

SWaT Dataset是一个用于工业控制系统(ICS)安全研究的数据集,包含了模拟的网络攻击和正常操作的数据。该数据集由新加坡科技设计大学(Singapore University of Technology and Design)发布,旨在帮助研究人员开发和测试用于检测工业控制系统中网络攻击的算法和模型。

itrust.sutd.edu.sg 收录