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FARM TREE: Balancing farm and landscape-scale demands for integrating trees on agricultural land

FARM TREE: Balancing farm and landscape-scale demands for integrating trees on agricultural land
农场树木:平衡农场和景观规模的需求,将树木整合到农业用地上
批准号:
NE/X004686/1
负责人:
Josie Geris
金额:
$54.05万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

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中文摘要
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英文摘要
Although agroforestry (integrating trees or shrubs on pasture or crop farmland) has great potential to provide ecosystem services and address multiple climate change challenges, it is not widely practiced in the UK. Strategic planning and successful implementation require more knowledge on achieving optimal environmental benefits, balanced with information of the associated socio-economic, cultural and policy incentives, barriers, and challenges to increasing agroforestry. Bringing together a strong multidisciplinary team of social and environmental scientists with partners who are practitioners and stakeholders in woodland and agricultural organisations, the FARM TREE project addresses these needs by exploring which planting scenarios might work best under different combinations of environmental and socio-economic conditions. Hereby, we will evaluate planting strategies (e.g., regional or landscape priority areas or species), as well as farm level planting designs (species and spatial organisation of planting) within the context of different strategies. Providing knowledge on which planting scenarios realistically work best where, combined with tools and pathways on how to achieve this will: (1) improve farmer decision making, (2) aid the development of better targeted and more flexible policies and grant schemes, and (3) ultimately lower barriers for tree expansion on farmland.We take a holistic approach to benefits and inherent trade-offs and consider that tree planting decisions are subject to diverse factors, from the personal to the policy level; but also focus in on carbon sequestration and water use solutions, alongside wider environmental benefits. We will provide an interactive web-based decision support tool to guide tree expansion on farmland; and identify how public policies (regulations, grant schemes) and market-based measures interact to incentivise (or deter) planting. The research will be articulated around three integrated work packages (WP). In WP1, we will collate socio-economic incentives and barriers from the land manager perspective, building on existing UK initiatives and farmer networks of project partners in agroforestry. Using participatory research methods, WP1 will identify farm level opportunities and constraints to integrate trees using designs that fit well into farming systems. At the national level, we will focus on insights relating to strategic policies that create opportunities for agroforestry expansion.WP2 will investigate the spatial and temporal effects of agroforestry strategies and designs on water and carbon cycling at the national/landscape and farm scale, while also considering soil health and biodiversity. For diverse landscape and farm settings, it will identify planting scenarios that deliver optimal ecosystem services, now and under future scenarios. This will be achieved via integrated ecohydrological and carbon modelling and build on previous woodland landscape capability mapping for ecosystem services and data from demonstrator farms. Integrating outcomes from WP1 and WP3, it will also deliver a set of scenarios that consider socio-economic constraints alongside the environmental benefits. WP1 and WP2 are fully integrated via WP3, which involves the iterative development of viable tree planting scenarios on farms that consider socio-economic and environmental aspects within UK landscapes. Co- developed with project partners and stakeholders, decision support tools (interactive website for farmers; policy briefings; and recommendations for long term farmer-led innovation monitoring labs) form key outputs.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
DOI: 10.5194/egusphere-egu24-13937
发表时间: 2024
期刊:
影响因子: --
作者: [Farrick K]
通讯作者: Farrick K
Coupled water-carbon modelling at data-limited sites: a new approach to explore current and future agroforestry scenarios in Scotland
数据有限地点的水碳耦合建模:探索苏格兰当前和未来农林业情景的新方法
DOI: 10.5194/egusphere-egu24-19929
发表时间: 2024
期刊:
影响因子: --
作者: [Goudarzi S]
通讯作者: Goudarzi S
国内基金
海外基金
数据中心Fat-Tree批量调度光包交换新架构
  • 批准号:
    61372085
  • 项目类别:
    面上项目
  • 资助金额:
    70.0万元
  • 批准年份:
    2013
  • 负责人:
    吴斌
  • 依托单位:
基于Junction tree推理的多运动平台分散式协同导航算法研究