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Darwin Harbour Habitat Mapping Program: Predicted surface of Total Sediment Metabolism

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Research Data Australia2024-12-14 收录
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https://researchdata.edu.au/darwin-harbour-habitat-sediment-metabolism/1880808
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This resource contains a predicted total sediment metabolism grid for the greater Darwin Harbour region as part of a baseline seabed mapping program of Darwin Harbour and Bynoe Harbour. This project was funded through offset funds provided by an INPEX-led Ichthys LNG Project to the Northern Territory Government’s Department of Environment and Natural Resources (NTG-DENR) with co-investment from Geoscience Australia (GA) and the Australian Institute of Marine Science (AIMS). The intent of this program is to improve knowledge of the marine environments in the Darwin and Bynoe Harbour regions by collating and collecting baseline data that enable the creation of thematic habitat maps and information to underpin marine resource management decisions. The predicted total sediment metabolism grid was derived from a compilation of multiple surveys undertaken by GA, AIMS and NTG-DENR between 2011 and 2017, including GA0333 (Siwabessy et al., 2015), GA0341 (Siwabessy et al., 2015), GA0351/SOL6187 (Siwabessy et al., 2016), GA4452/SOL6432 (Siwabessy et al., 2017), GA0356 (Radke et al., 2017), and GA0358 and GA0359 (Radke et al., 2018), adding to those from previous surveys GA4425 and GA0333 collected by GA, AIMS, NTG-DENR and Darwin Port Authority.

本数据集包含大达尔文港(greater Darwin Harbour)区域的总沉积物代谢预测网格,该成果作为达尔文港(Darwin Harbour)与拜诺港(Bynoe Harbour)海底基线测绘项目的组成部分。本项目由INPEX牵头的伊契斯液化天然气(Ichthys LNG)项目向北领地政府环境与自然资源部(NTG-DENR)提供的补偿资金资助,并获得澳大利亚地球科学局(GA)与澳大利亚海洋科学研究所(AIMS)的联合投资。本项目旨在通过整理与采集基线数据,深化对达尔文港与拜诺港海域海洋环境的认知,进而生成专题生境地图及相关信息,为海洋资源管理决策提供支撑。本次预测的总沉积物代谢网格,整合了GA、AIMS与NTG-DENR在2011至2017年间开展的多项勘测数据,包括GA0333(Siwabessy等,2015)、GA0341(Siwabessy等,2015)、GA0351/SOL6187(Siwabessy等,2016)、GA4452/SOL6432(Siwabessy等,2017)、GA0356(Radke等,2017)以及GA0358与GA0359(Radke等,2018),同时补充了此前由GA、AIMS、NTG-DENR与达尔文港务局(Darwin Port Authority)采集的GA4425与GA0333勘测数据。
提供机构:
Australian Ocean Data Network
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