Collaborative Research: Forest productivity and hydrological patterns regulate methane fluxes from peatlands in the Amazon basin

合作研究:森林生产力和水文模式调节亚马逊盆地泥炭地的甲烷通量

基本信息

  • 批准号:
    1355081
  • 负责人:
  • 金额:
    $ 10.3万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2014
  • 资助国家:
    美国
  • 起止时间:
    2014-05-01 至 2018-04-30
  • 项目状态:
    已结题

项目摘要

The Amazon basin contains nearly one million square kilometers of wetlands, predominantly peatlands, which are known to be highly productive and to store significant quantities of carbon in plant biomass and soil. Peatlands are characterized by soils rich in organic matter that are often saturated with water, and are therefore often low in oxygen. These conditions often lead to the release of methane, a greenhouse gas with ~25 times the heat-trapping capacity of carbon dioxide, and peatlands are known to be important global sources of methane. Until very recently, peatlands were not expected to be a significant component of the Amazon basin since these wetlands are more common in cold, northern latitudes and there were few records of their existence in the Amazon. In recent years, however, multiple studies aided by satellite imagery and guided field explorations have documented hundreds of peatlands across basins in the West and Central Amazon. An estimated 3-6 millions of tons of organic carbon are contained in these newly discovered Amazon peatlands, which may also represent a significant, previously unrecorded, source of methane annually. The magnitude of organic carbon stored in plants and soils every year vs. that released as methane from these peatlands is not known. This project proposes to evaluate for the first time a set of diverse Amazonian peatlands their organic carbon content, and rates of forest productivity and methane formation and release. This work will also include experimental manipulations of water levels to evaluate responses of productivity and methane release to environmental changes likely to occur as the climate warms. This project will also develop mathematical models of these ecosystems to evaluate the impact of peatlands at larger scales and to propose quantitative predictions for future productivity and methane emissions. Two hypotheses will be tested in this study including (i) whether vegetation change and water regime determine methane production and release, and (ii) whether the response of methane production to altered water regimes is modulated by the diversity of Amazon peatlands. This work will contribute substantially to our understanding of feedbacks between changes in atmospheric chemistry and climate because of the magnitude of carbon storage in Amazonian peatlands and their potential to be major sources of methane. The research will provide the first comprehensive analysis of these peatlands in the Amazon, and provide quantitative predictions of future methane emissions from the Amazon. This project will also provide data on carbon stocks and fluxes for future comparisons under climatic change and will provide evidence to monitor tropical peatlands for future conservation and policy-making efforts. This collaborative effort including three US and one Peruvian institution, will train a postdoctoral researcher, two graduate and one undergraduate student. This project will also develop a virtual classroom program connecting high school students in Arizona and Iquitos Peru to discuss the impact of ecological research in Amazon peatlands and to track expeditions. Educational activities at the high school level will be targeted to generate an effective conservation-teaching tool to reach a broader public.
亚马逊盆地拥有近100万平方公里的湿地,其中主要是泥炭地,众所周知,这些湿地生产力很高,并在植物生物质和土壤中储存了大量碳。泥炭地的特点是土壤富含有机质,通常被水饱和,因此通常氧气含量较低。这些条件通常会导致甲烷的释放,甲烷是一种温室气体,其吸热能力是二氧化碳的25倍,而泥炭地是全球甲烷的重要来源。直到最近,泥炭地才被认为是亚马逊盆地的重要组成部分,因为这些湿地在寒冷的北方纬度地区更为常见,而且在亚马逊地区几乎没有关于它们存在的记录。然而,近年来,在卫星图像和引导实地勘探的帮助下,多项研究记录了亚马逊西部和中部盆地的数百个泥炭地。据估计,这些新发现的亚马逊泥炭地中含有300万至600万吨有机碳,这也可能是以前未记录的甲烷的重要来源。每年储存在植物和土壤中的有机碳的数量与从这些泥炭地释放的甲烷的数量尚不清楚。该项目拟首次评估一组不同的亚马逊泥炭地的有机碳含量、森林生产率和甲烷形成和释放率。这项工作还将包括对水位进行实验性操纵,以评估随着气候变暖可能发生的环境变化对生产力和甲烷释放的影响。该项目还将开发这些生态系统的数学模型,以评估泥炭地在更大范围内的影响,并对未来的生产力和甲烷排放量提出定量预测。在这项研究中,将测试两个假设,包括(一)是否植被变化和水分状况决定甲烷的生产和释放,以及(二)是否甲烷生产的响应改变水制度调制的亚马逊泥炭地的多样性。这项工作将大大有助于我们了解大气化学和气候变化之间的反馈,因为亚马逊泥炭地的碳储存量及其成为甲烷主要来源的潜力。这项研究将首次对亚马逊地区的泥炭地进行全面分析,并对亚马逊地区未来的甲烷排放量进行定量预测。该项目还将提供关于碳储存和通量的数据,供今后在气候变化下进行比较,并将为今后的养护和决策工作提供监测热带泥炭地的证据。这项合作包括三个美国和一个秘鲁机构,将培养一名博士后研究员,两名研究生和一名本科生。该项目还将开发一个虚拟教室项目,将亚利桑那州和秘鲁伊基托斯的高中生联系起来,讨论亚马逊泥炭地生态研究的影响,并跟踪探险。高中一级的教育活动将针对产生一个有效的保护教学工具,以达到更广泛的公众。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Qianlai Zhuang其他文献

Hysteretic temperature sensitivity in wetland CHsub4/sub emission modeling
湿地 CH4 排放模型中的滞后温度敏感性
  • DOI:
    10.1016/j.agrformet.2025.110704
  • 发表时间:
    2025-09-15
  • 期刊:
  • 影响因子:
    5.700
  • 作者:
    Shuo Chen;Kunxiaojia Yuan;Fa Li;Qing Zhu;Qianlai Zhuang
  • 通讯作者:
    Qianlai Zhuang
Dynamics of organic and black carbon in high-altitude soils: Insights from morphological, chemometric, and environmental analyses
  • DOI:
    10.1016/j.envpol.2025.126766
  • 发表时间:
    2025-10-01
  • 期刊:
  • 影响因子:
    7.300
  • 作者:
    V. Karthik;B. Vijay Bhaskar;S. Ramachandran;Qianlai Zhuang
  • 通讯作者:
    Qianlai Zhuang
Spatial variations of soil organic carbon stocks in a coastal hilly area of China
中国沿海丘陵地区土壤有机碳储量空间变化
  • DOI:
    10.1016/j.geoderma.2017.10.052
  • 发表时间:
    2018-03
  • 期刊:
  • 影响因子:
    6.1
  • 作者:
    Shuai Wang;Qianlai Zhuang;Shuhai Jia;Xinxin Jin;Qiubing Wang
  • 通讯作者:
    Qiubing Wang
Multispectral Remote Sensing Data Are Effective and Robust in Mapping Regional Forest Soil Organic Carbon Stocks in a Northeast Forest Region in China
多光谱遥感数据在绘制中国东北林区区域森林土壤有机碳储量方面有效且稳健
  • DOI:
    10.3390/rs12030393
  • 发表时间:
    2020-01
  • 期刊:
  • 影响因子:
    5
  • 作者:
    Shuai Wang;Jinhu Gao;Qianlai Zhuang;Yuanyuan Lu;Hanlong Gu;Xinxin Jin
  • 通讯作者:
    Xinxin Jin
Evapotranspiration partitioning and water productivity of rainfed maize under contrasting mulching conditions in Northwest China
西北地区不同覆盖条件下雨养玉米的蒸散分配和水分生产力
  • DOI:
    10.1016/j.agwat.2020.106473
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    6.7
  • 作者:
    Jing Zheng;Junliang Fan;Fucang Zhang;Qianlai Zhuang
  • 通讯作者:
    Qianlai Zhuang

Qianlai Zhuang的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Qianlai Zhuang', 18)}}的其他基金

NNA: Collaborative Research: MSB-FRA: Peat Expansion in Arctic Tundra - Pattern, Process, and the Implication for the Carbon Cycle (TundraPEAT)
NNA:合作研究:MSB-FRA:北极苔原泥炭扩张 - 模式、过程以及对碳循环的影响 (TundraPEAT)
  • 批准号:
    1802832
  • 财政年份:
    2018
  • 资助金额:
    $ 10.3万
  • 项目类别:
    Standard Grant
CDI-Type II: Collaborative Research: A Paradigm Shift in Ecosystem and Environmental Modeling: An Integrated Stochastic, Deterministic, and Machine Learning Approach
CDI-Type II:协作研究:生态系统和环境建模的范式转变:集成的随机、确定性和机器学习方法
  • 批准号:
    1028291
  • 财政年份:
    2010
  • 资助金额:
    $ 10.3万
  • 项目类别:
    Standard Grant
Collaborative Research: Impacts of Climate Seasonality on Carbon Accumulation and Methane Emissions of Alaskan Ecosystems during the Holocene Thermal Maximum
合作研究:全新世最热期间气候季节性对阿拉斯加生态系统碳积累和甲烷排放的影响
  • 批准号:
    0919331
  • 财政年份:
    2009
  • 资助金额:
    $ 10.3万
  • 项目类别:
    Standard Grant
Collaborative Research: Impact of Permafrost Degradation on Carbon and Water in Boreal Ecosystems
合作研究:多年冻土退化对北方生态系统碳和水的影响
  • 批准号:
    0630319
  • 财政年份:
    2007
  • 资助金额:
    $ 10.3万
  • 项目类别:
    Standard Grant
Collaborative Research: Synthesis of Arctic System Carbon Cycle Research Through Model-Data Fusion Studies Using Atmospheric Inversion and Process-Based Approaches
合作研究:利用大气反演和基于过程的方法,通过模型数据融合研究综合北极系统碳循环研究
  • 批准号:
    0531081
  • 财政年份:
    2005
  • 资助金额:
    $ 10.3万
  • 项目类别:
    Standard Grant
Collaborative Research: Synthesis of Arctic System Carbon Cycle Research Through Model-Data Fusion Studies Using Atmospheric Inversion and Process-Based Approaches
合作研究:利用大气反演和基于过程的方法,通过模型数据融合研究综合北极系统碳循环研究
  • 批准号:
    0554811
  • 财政年份:
    2005
  • 资助金额:
    $ 10.3万
  • 项目类别:
    Standard Grant

相似国自然基金

Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 批准年份:
    2024
  • 资助金额:
    0.0 万元
  • 项目类别:
    省市级项目
Cell Research
  • 批准号:
    31224802
  • 批准年份:
    2012
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Cell Research
  • 批准号:
    31024804
  • 批准年份:
    2010
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Cell Research (细胞研究)
  • 批准号:
    30824808
  • 批准年份:
    2008
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
  • 批准号:
    10774081
  • 批准年份:
    2007
  • 资助金额:
    45.0 万元
  • 项目类别:
    面上项目

相似海外基金

Collaborative Research: Superinvaders: testing a general hypothesis of forest invasions by woody species across the Americas
合作研究:超级入侵者:测试美洲木本物种入侵森林的一般假设
  • 批准号:
    2331278
  • 财政年份:
    2024
  • 资助金额:
    $ 10.3万
  • 项目类别:
    Standard Grant
RAPID: Reimagining a collaborative future: engaging community with the Andrews Forest Research Program
RAPID:重新构想协作未来:让社区参与安德鲁斯森林研究计划
  • 批准号:
    2409274
  • 财政年份:
    2024
  • 资助金额:
    $ 10.3万
  • 项目类别:
    Standard Grant
Collaborative Research: RAPID: A perfect storm: will the double-impact of 2023/24 El Nino drought and forest degradation induce a local tipping-point onset in the eastern Amazon?
合作研究:RAPID:一场完美风暴:2023/24厄尔尼诺干旱和森林退化的双重影响是否会导致亚马逊东部地区出现局部临界点?
  • 批准号:
    2403883
  • 财政年份:
    2024
  • 资助金额:
    $ 10.3万
  • 项目类别:
    Standard Grant
Collaborative Research: Superinvaders: testing a general hypothesis of forest invasions by woody species across the Americas
合作研究:超级入侵者:测试美洲木本物种入侵森林的一般假设
  • 批准号:
    2331277
  • 财政年份:
    2024
  • 资助金额:
    $ 10.3万
  • 项目类别:
    Standard Grant
Collaborative Research: Superinvaders: testing a general hypothesis of forest invasions by woody species across the Americas
合作研究:超级入侵者:测试美洲木本物种入侵森林的一般假设
  • 批准号:
    2331276
  • 财政年份:
    2024
  • 资助金额:
    $ 10.3万
  • 项目类别:
    Standard Grant
Collaborative Research: RAPID: A perfect storm: will the double-impact of 2023/24 El Nino drought and forest degradation induce a local tipping-point onset in the eastern Amazon?
合作研究:RAPID:一场完美风暴:2023/24厄尔尼诺干旱和森林退化的双重影响是否会导致亚马逊东部地区出现局部临界点?
  • 批准号:
    2403882
  • 财政年份:
    2024
  • 资助金额:
    $ 10.3万
  • 项目类别:
    Standard Grant
D-ISN/Collaborative Research: Machine Learning to Improve Detection and Traceability of Forest Products using Stable Isotope Ratio Analysis (SIRA)
D-ISN/合作研究:利用稳定同位素比率分析 (SIRA) 提高林产品检测和可追溯性的机器学习
  • 批准号:
    2240403
  • 财政年份:
    2023
  • 资助金额:
    $ 10.3万
  • 项目类别:
    Standard Grant
Collaborative Research: Forest fragmentation and climate change result in understory warming that adversely affects tropical avian biodiversity at the BDFFP.
合作研究:森林破碎化和气候变化导致林下变暖,对 BDFFP 的热带鸟类生物多样性产生不利影响。
  • 批准号:
    2311047
  • 财政年份:
    2023
  • 资助金额:
    $ 10.3万
  • 项目类别:
    Standard Grant
Collaborative Research: EAR-Climate: Hydraulic and Hydrologic Regulation of Greenhouse Gas Emissions from Forest Soils and Trees and Detection With Radon As A Novel Tracer
合作研究:EAR-气候:森林土壤和树木温室气体排放的水力和水文调节以及用氡作为新型示踪剂进行检测
  • 批准号:
    2210783
  • 财政年份:
    2023
  • 资助金额:
    $ 10.3万
  • 项目类别:
    Standard Grant
D-ISN/Collaborative Research: Machine Learning to Improve Detection and Traceability of Forest Products using Stable Isotope Ratio Analysis (SIRA)
D-ISN/合作研究:利用稳定同位素比率分析 (SIRA) 提高林产品检测和可追溯性的机器学习
  • 批准号:
    2240402
  • 财政年份:
    2023
  • 资助金额:
    $ 10.3万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了