OPTimising FORest management decisions for a low-carbon, climate resilient future in EUrope
OPTimising FORest management decisions for a low-carbon, climate resilient future in EUrope
批准号:
10066549
负责人:
金额:
$30.97万
依托单位:
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --
中文摘要
要达到《巴黎协定》规定的全球变暖1.5摄氏度的阈值,并在2050年前实现《欧洲绿色协定》的气候中和目标,就需要大幅减少人为排放并增加二氧化碳汇。森林,包括原始森林提供的CO2汇部分抵消了人为CO2排放量的增加,为气候变化提供了大规模的缓冲。根据森林的特点和当地情况,例如管理做法或生态系统服务,森林的范围可能从二氧化碳净吸收汇到二氧化碳净排放源。该项目“优化欧洲森林管理决策,实现低碳、气候适应性未来(OptFor-EU)”将建立一个决策支持系统(DSS),为森林管理者和其他相关利益相关者提供量身定制的选项,以优化欧洲的脱碳和其他森林生态系统服务(FES)。基于对现有数据源的利用、新的基本森林减缓指标的使用以及气候驱动因素、森林响应和生态系统服务之间的关系,OptFor-EU有五个具体目标:(1)提供森林-气候关系和FES的改进特征;(2)利用以最终用户为中心的过程建模;(3)使森林最终用户能够做出明智的决定,以提高森林的复原力和脱碳;(4)提供新的DSS服务;(5)将欧盟不同的战略优先事项、强大的科学以及森林和森林部门的利益攸关方联系起来。该方法以供需方法为基础,结合了数据整合、建模和与森林管理者和所有欧洲森林类型的其他实践利益攸关方共同开发解决方案的迭代过程。DSS将在8个案例研究领域进行设计和测试,以提供即用型服务,接近欧洲水平的运营(TRL 7),而用户采用和接受计划将最大限度地提高社会和商业影响
英文摘要
Significant reductions in anthropogenic emissions and increases in CO2 sinks are needed to meet the 1.5 centigrades threshold for global warming set out in the Paris Agreement and reach the climate-neutrality goal of the European Green Deal by 2050. The CO2 sink provided by forests, including old-growth forests, partially offsets the rise in anthropogenic CO2 emissions, providing a large-scale buffer to climate change. Depending on their characteristics and local circumstances, such as management practices or ecosystem services, forests may range from net CO2 sinks to sources. The project 'OPTimising FORest management decisions for a low-carbon, climate resilient future in Europe (OptFor-EU)' will build a Decision Support System (DSS) to provide forest managers and other relevant stakeholders with tailored options for optimising decarbonisation and other Forest Ecosystem Services (FES) across Europe. Based on exploitation of existing data sources, use of novel Essential Forest Mitigation Indicators and relationships between climate drivers, forest responses and ecosystem services, OptFor-EU has five specific objectives: (1) Provide an improved characterisation of the Forest-Climate Nexus and FES; (2) Utilise end-user focused process modelling; (3) Empower forest end-users to make informed decisions to enhance forest resilience and decarbonisation; (4) Provide a novel DSS service; and (5) Bridging different EU strategic priorities, robust science, and stakeholders in the forest and forest-based sectors. Based on a supply-demand approach, the methodology combines an iterative process of data consolidation, modelling, and co-development of solutions alongside forest managers and other practice stakeholders in all European Forest Types. The DSS will be designed and tested at 8 case study areas, to provide a ready-to-use service, near to operational (TRL7) at European level, while a user adoption and up-take plan will maximise the societal and business impact
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会议论文
国内基金
海外基金
基于深度森林(Deep Forest)模型的表面增强拉曼光谱分析方法研究
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批准号:2020A151501709
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项目类别:省市级项目
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资助金额:10.0万元
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批准年份:2020
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负责人:谢怡
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依托单位:
兴安落叶松林(Larix gmelinii forest) 土壤微生物对火干扰的响应机制研究
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批准号:31870644
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项目类别:面上项目
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资助金额:60.0万元
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批准年份:2018
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负责人:杨光
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依托单位: