Identifying potential tipping points in the benefits derived from the UK's land ecosystems

确定英国土地生态系统效益的潜在临界点

基本信息

  • 批准号:
    NE/P007880/1
  • 负责人:
  • 金额:
    $ 47.68万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2016
  • 资助国家:
    英国
  • 起止时间:
    2016 至 无数据
  • 项目状态:
    已结题

项目摘要

Our research aims to identify whether the benefits flowing to us from the UK's land ecosystems - including the provision of food, recreational value, water quality, natural flood protection, and greenhouse gas storage - could pass 'tipping points' this century as a result of climate change, land-use change, policy change and their interaction. Here we take a 'tipping point' to mean a large and persistent change in the benefits flowing from an ecosystem. As such it could be due to a tipping point in the drivers of an ecosystem - here climate change, land-use change, or policy change - or it could be due to a tipping point within the ecosystem itself such that even a small change in its drivers triggers a large change in the flow of benefits. Our aim is to understand which of these kinds of tipping points could occur and predict when they might occur and where they might arise geographically. To assess this we will use a set of three state-of-the-art models combined with mathematical methods of tipping point detection. The three models will capture (at unprecedented spatial resolution) the functioning of the UK's land ecosystems, the benefits flowing from them, and how they are affected by climate change, land-use change and policy change. Two of these models - called 'JULES' and 'LPX' - capture the cycling of water and carbon through ecosystems, including changes in vegetation. We will use them to explore potential tipping points in carbon storage, greenhouse gas fluxes, and freshwater services, including natural flood protection - which is provided by water storage in upland peatlands and lowland flood plains. We will also examine the prediction that blanket bogs, and the large stores of carbon they hold, are threatened to disappear due to climate change. The resulting understanding will be used to update the third model - called 'TIM' (the integrated model) - which brings together our natural science knowledge of ecosystem processes with economic understanding of how farmers and foresters change their use of the land when climate or policy changes. As 75% of the UK is some form of managed agricultural land, this understanding of the influences upon human land-use is crucial. We will improve the representation of carbon stocks and greenhouse gas fluxes in TIM, based on the other models, and include a representation of natural flood protection. We will also drive the model with new, high resolution climate change projections and use TIM to examine how land users will respond to climate change across different areas of the country. Our methods for detecting tipping point will be applied to the output of the three models to examine where and what type of tipping points occur under different scenarios for the future of the UK climate. As TIM is used in the UK National Ecosystem Assessment and its follow-on this will provide a direct feed-through to policy advice, especially via the UK government's 'Natural Capital Committee'. The 'tipping point enabled' version of TIM will be used to revisit existing climate change and policy scenarios to see how the results and corresponding advice are altered.The main outcomes of the project will be the first integrated analysis of potential tipping points in the benefits flowing from UK land ecosystem services, together with important improvements to the established framework (TIM) used for quantifying and evaluating UK ecosystem stocks and benefit flows, and assessing policy options.
我们的研究旨在确定英国土地生态系统给我们带来的好处——包括提供食物、娱乐价值、水质、自然防洪和温室气体储存——是否会由于气候变化、土地利用变化、政策变化及其相互作用而在本世纪突破“临界点”。在这里,我们采用“临界点”来表示生态系统带来的效益发生巨大且持续的变化。因此,这可能是由于生态系统驱动因素的转折点——这里是气候变化、土地利用变化或政策变化——或者可能是由于生态系统本身内部的转折点,即使其驱动因素的微小变化也会引发利益流的巨大变化。我们的目标是了解哪些类型的临界点可能会发生,并预测它们何时可能发生以及它们可能在地理上出现的位置。为了评估这一点,我们将使用一组三个最先进的模型以及临界点检测的数学方法。这三个模型将(以前所未有的空间分辨率)捕捉英国土地生态系统的功能、从中产生的效益以及它们如何受到气候变化、土地利用变化和政策变化的影响。其中两个模型 - 称为“JULES”和“LPX” - 捕捉水和碳在生态系统中的循环,包括植被的变化。我们将利用它们来探索碳储存、温室气体通量和淡水服务的潜在临界点,包括自然防洪——这是由高地泥炭地和低地洪泛平原的蓄水提供的。我们还将检验这样的预测:由于气候变化,沼泽及其储存的大量碳将面临消失的威胁。由此产生的理解将用于更新第三个模型 - 称为“TIM”(综合模型) - 该模型将我们对生态系统过程的自然科学知识与对农民和林农在气候或政策变化时如何改变土地使用的经济理解结合起来。由于英国 75% 的土地都是某种形式的管理农业用地,因此了解对人类土地利用的影响至关重要。我们将基于其他模型改进 TIM 中碳储量和温室气体通量的表示,并包括自然防洪的表示。我们还将通过新的高分辨率气候变化预测来驱动该模型,并使用 TIM 来研究土地使用者将如何应对全国不同地区的气候变化。我们检测临界点的方法将应用于三个模型的输出,以检查英国未来气候在不同情景下发生的临界点的位置和类型。由于 TIM 用于英国国家生态系统评估及其后续评估,这将为政策建议提供直接反馈,特别是通过英国政府的“自然资本委员会”。 TIM的“临界点启用”版本将用于重新审视现有的气候变化和政策情景,以了解结果和相应的建议如何改变。该项目的主要成果将是对英国土地生态系统服务带来的效益的潜在临界点进行首次综合分析,并对用于量化和评估英国生态系统存量和效益流以及评估政策选择的既定框架(TIM)进行重要改进。

项目成果

期刊论文数量(9)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Climate models predict increasing temperature variability in poor countries.
  • DOI:
    10.1126/sciadv.aar5809
  • 发表时间:
    2018-05
  • 期刊:
  • 影响因子:
    13.6
  • 作者:
    Bathiany S;Dakos V;Scheffer M;Lenton TM
  • 通讯作者:
    Lenton TM
Tipping points in the climate system
气候系统的临界点
  • DOI:
    10.1002/wea.4058
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    1.9
  • 作者:
    Lenton T
  • 通讯作者:
    Lenton T
Observed trends in the magnitude and persistence of monthly temperature variability.
  • DOI:
    10.1038/s41598-017-06382-x
  • 发表时间:
    2017-07-19
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Lenton TM;Dakos V;Bathiany S;Scheffer M
  • 通讯作者:
    Scheffer M
Shifts in national land use and food production in Great Britain after a climate tipping point
气候临界点后英国国家土地利用和粮食生产的变化
  • DOI:
    10.1038/s43016-019-0011-3
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    23.2
  • 作者:
    Ritchie P
  • 通讯作者:
    Ritchie P
Large changes in Great Britain's vegetation and agricultural land-use predicted under unmitigated climate change
  • DOI:
    10.1088/1748-9326/ab492b
  • 发表时间:
    2019-11-01
  • 期刊:
  • 影响因子:
    6.7
  • 作者:
    Ritchie, Paul D. L.;Harper, Anna B.;Lenton, Timothy M.
  • 通讯作者:
    Lenton, Timothy M.
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Timothy Lenton其他文献

Timothy Lenton的其他文献

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{{ truncateString('Timothy Lenton', 18)}}的其他基金

Perturbation of the Earth System at the Proterozoic-Phanerozoic transition and the resilience of the biosphere
元古代-显生宙过渡时期地球系统的扰动和生物圈的恢复力
  • 批准号:
    NE/P013651/1
  • 财政年份:
    2017
  • 资助金额:
    $ 47.68万
  • 项目类别:
    Research Grant
Feasibility of Afforestation and Biomass energy with carbon capture storage for Greenhouse Gas Removal (FAB GGR)
造林和生物质能源与碳捕获储存用于温室气体去除的可行性(FAB GGR)
  • 批准号:
    NE/P019773/1
  • 财政年份:
    2017
  • 资助金额:
    $ 47.68万
  • 项目类别:
    Research Grant
Ocean circulation, nutrient cycling and atmospheric carbon dioxide
海洋环流、养分循环和大气二氧化碳
  • 批准号:
    NE/G018332/2
  • 财政年份:
    2011
  • 资助金额:
    $ 47.68万
  • 项目类别:
    Research Grant
Re-inventing the planet: the Neoproterozoic revolution in oxygenation, biogeochemistry and biological complexity
重新发明地球:氧合、生物地球化学和生物复杂性的新元古代革命
  • 批准号:
    NE/I005978/1
  • 财政年份:
    2011
  • 资助金额:
    $ 47.68万
  • 项目类别:
    Research Grant
Detecting and classifying bifurcations in the climate system
气候系统分叉的检测和分类
  • 批准号:
    NE/F005474/2
  • 财政年份:
    2011
  • 资助金额:
    $ 47.68万
  • 项目类别:
    Research Grant
Re-inventing the planet: the Neoproterozoic revolution in oxygenation, biogeochemistry and biological complexity
重新发明地球:氧合、生物地球化学和生物复杂性的新元古代革命
  • 批准号:
    NE/I005978/2
  • 财政年份:
    2011
  • 资助金额:
    $ 47.68万
  • 项目类别:
    Research Grant
Ocean circulation, nutrient cycling and atmospheric carbon dioxide
海洋环流、养分循环和大气二氧化碳
  • 批准号:
    NE/G018332/1
  • 财政年份:
    2010
  • 资助金额:
    $ 47.68万
  • 项目类别:
    Research Grant
Detecting and classifying bifurcations in the climate system
气候系统分叉的检测和分类
  • 批准号:
    NE/F005474/1
  • 财政年份:
    2008
  • 资助金额:
    $ 47.68万
  • 项目类别:
    Research Grant
Feedbacks QUEST: Quantifying biogeochemical feedbacks on climate change
反馈任务:量化气候变化的生物地球化学反馈
  • 批准号:
    NE/F001657/1
  • 财政年份:
    2007
  • 资助金额:
    $ 47.68万
  • 项目类别:
    Research Grant
Quaternary QUEST: Regulation of atmospheric carbon dioxide on glacial-interglacial timescales and its coupling to climate change
第四纪探索:大气二氧化碳对冰期-间冰期时间尺度的调节及其与气候变化的耦合
  • 批准号:
    NE/D001676/1
  • 财政年份:
    2007
  • 资助金额:
    $ 47.68万
  • 项目类别:
    Research Grant

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