课题基金 / 基金详情

Identifying and learning from bright spots in coral reef governance

Identifying and learning from bright spots in coral reef governance
识别珊瑚礁治理的亮点并从中学习
批准号:
FT160100047
负责人:
Prof Joshua Cinner
金额:
$66.94万
依托单位:
依托单位国家:
澳大利亚
项目类别:
ARC Future Fellowships
财政年份:
2017
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2017-01-01 至 2021-06-15

项目摘要

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中文摘要
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英文摘要
This project aims to solve the global problem of unsustainable coral reef fisheries by locating and learning from ‘bright spots’ in reefs. Bright spots are reefs in better condition than they should be, given the multiple drivers (e.g. markets and human population pressures) to which they are exposed. This project will use a global-scale analysis to identify bright spots, and field-based research to uncover the enabling social, economic and institutional conditions. Understanding these enabling conditions should help to formulate policy levers for more sustainable reef governance in other regions.
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Increasing the sustainability and resilience of coral reef fisheries
  • 批准号:
    FL230100201
  • 项目类别:
    Australian Laureate Fellowships
  • 资助金额:
    $232.76万
  • 财政年份:
    2024
  • 负责人:
    Prof Joshua Cinner
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Linking social science and ecology to understand the vulnerability of coastal societies to changes in coral reef resources
  • 批准号:
    DP110101540
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $49.91万
  • 财政年份:
    2011
  • 负责人:
    Prof Joshua Cinner
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How can communities sustainably manage coral reefs?
  • 批准号:
    DP0877905
  • 项目类别:
    Discovery Projects
  • 资助金额:
    $16.04万
  • 财政年份:
    2008
  • 负责人:
    Prof Joshua Cinner
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位:
煤矿安全人机混合群智感知任务的约束动态多目标Q-learning进化分配
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    吉建娇
  • 依托单位:
基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
  • 批准号:
    62003314
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2020
  • 负责人:
    沈剑
  • 依托单位: