five

Australian Marine Parks

收藏
Research Data Australia2025-12-20 收录
下载链接:
https://researchdata.edu.au/australian-marine-parks/3899862
下载链接
链接失效反馈
官方服务:
资源简介:
The Australian Marine Parks dataset is a digital dataset representing the network of marine protected areas for Commonwealth waters in Australa. This dataset is wholly managed by the Australian Government's (Federal) Department of Climate Change, Energy, the Environment and Water.More information can be found at the Australian governments data portal: https://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7BCD8877F3-8C39-4A20-A53F-070FBEE5AF3C%7DConsistent with the Australian Government's commitment to develop a National Representative System of Marine Protected Areas, networks of marine parks have been proclaimed for Commonwealth waters across the North, North-west, South-west, Temperate East and Coral Sea Marine Regions and, most recently, in the Indian Ocean Territories. These networks build on previous marine protected area proclamations, including the South-east Marine Parks Network declared in 2007. This data contains spatial and contextual information about Australian Marine Parks proclaimed under the Commonwealth Government's Environment Protection and Biodiversity Conservation Act 1999, which are managed by Parks Australia, with the addition of Heard Island and McDonald Islands Marine Reserve, which is managed by the Australian Antarctic Division.

澳大利亚海洋公园数据集(Australian Marine Parks dataset)是一套用于呈现澳大利亚联邦海域海洋保护区网络的数字数据集。本数据集由澳大利亚联邦政府气候与能源、环境与水资源部全权管理。更多相关信息可查询澳大利亚政府数据门户:https://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7BCD8877F3-8C39-4A20-A53F-070FBEE5AF3C%7D。为落实澳大利亚政府构建国家代表性海洋保护区体系的承诺,澳大利亚已为北部、西北部、西南部、温带东部以及珊瑚海海洋区域的联邦海域正式划定海洋公园网络,近期还在印度洋领地完成了相关网络的公布。上述海洋公园网络是在既往海洋保护区划定工作基础上建立的,其中包括2007年划定的东南海洋公园网络。本数据集包含依据澳大利亚联邦政府1999年《环境保护与生物多样性保护法》正式划定的澳大利亚海洋公园的空间与关联信息,此类公园由澳大利亚公园管理局(Parks Australia)负责管理;此外还涵盖赫德岛和麦克唐纳群岛海洋保护区,该保护区由澳大利亚南极司(Australian Antarctic Division)运营管理。
提供机构:
data.vic.gov.au
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作