Belmont Forum Collaborative Research: Biodiversity Scenarios: Towards monitoring, understanding and forecasting Global Biomass flows of Aerial Migrants
贝尔蒙特论坛合作研究:生物多样性情景:监测、理解和预测空中移民的全球生物质流动
基本信息
- 批准号:1927743
- 负责人:
- 金额:$ 18万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-04-15 至 2022-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Innovative research on the complex interaction of socio-economic and global environmental trends on biodiversity and ecosystem services is needed to help develop more informative scenarios for addressing environmental and human development challenges. To overcome these challenges coupled natural-human systems approaches and analyses are needed. These provide improved scenarios of biodiversity and ecosystem services that couple the outputs of direct and indirect drivers such as land use, invasive species, overexploitation, biodiversity, environmental change, and pollution. The resulting models provide a methodological state-of-the art that results in more accurate quantitative assessments, better land use, and more effective ecosystem services. Employing this methodology, this research project, which is an international coalition between US scientists and five European nations, seeks to quantify the magnitude, spatial extent and timing of aerial migrations (birds and insects), and their functional relations to environmental and socio-economic variables. Migratory bird and insect populations involve thousands of tons of animal biomass that move through the air within and across continents at various times of the year. Migratory flying animals play significant roles in shaping ecosystems through a variety of transport and trophic effects that also represent services and disservices to human infrastructure, agriculture, and welfare. This project reveals the role these organisms have in shaping the diversity of ecological communities, as well as providing information to allow the better utilization of their related ecosystems services and reducing their negative impacts. This requires the tracking and quantification of these species and their movements across continents, i.e. over large spatial and temporal scales. This study investigates past changes in important drivers of change such as climate; the expansion of urban areas; deployment of energy infrastructure, like wind farms; and changes in land use/agriculture. Data and results will be modeled to develop projections for future changes under environmental and human-induces scenarios. Current and archived radar data of biomasses of aerial migrants will be used. Drivers resulting in changes in patterns of migrations and local ecosystem function will be used to develop behavior-based models for generating predictions under future changes. The broader impacts of this work include international collaboration with scientists from five other countries (UK, Belgium, The Netherlands, Finland, and Switzerland), the generation of data to improve policy and resource management decisions, and information to help reduce airplane damage from bird strikes. Other impacts include training a postdoctoral scholar in interdisciplinary, international, team-oriented, collaborative research and the creation of new software that allows others to process data on aerial migrations in terms of variables such as weather, climate, land use, wind, and light.This award supports US researchers participating in a project competitively selected by a coalition of 26 funding agencies from 23 countries through the Belmont Forum call for proposals on "Scenarios of Biodiversity and Ecosystem Services". The call was a multilateral initiative designed to support research projects that contribute to the development of scenarios, models, and decision-support tools for understanding and solving critical issues facing our planet. The goal of the competition was to improve and apply participatory scenario methods to enhance research relevance and its acceptance and to address gaps in methods for modelling impact drivers and policy interventions. It was also to develop and communicate levels of uncertainty associated with the models, to improve data accessibility and fill gaps in knowledge. Using this methodology, this major international effort between the US and five European countries will addresses challenging and pressing biodiversity issues related to aerial migratory species (birds and insects) across scales from local to continental. For the project, each country will fund its own scientists and their part of the overall project. The interdisciplinary team consists of ecologists, meteorologists, and computer scientists who will use the existing infrastructure of continental weather (and other) radars to generate a standardized large-scale, long-term monitoring of migratory aerial biomass flows, as well as develop sustainable data and analytical infrastructure and workflows that that can be used by other present and future stakeholders. Motivation for this study comes from the fact that aerial migratory animals are an integral component of biodiversity and have been declining at an alarming rate. Identifying their response to climatic and land-use changes, light pollution and wind energy development is fundamental for efficient conservation and mitigation of human-wildlife conflicts. Thus, this research links various stakeholders from scientists to meteorologists to conservation practitioners and policy makers and to the wind energy sector and aviation safety. Goas are to develop (a) standard long-term and large-scale monitoring of aerial migrations; (b) information to feed policies associated with the proliferation of artificial light; (c) establish aerial migratory species death-mitigation procedures for wind energy installations and aircraft; and (d) policies for conservation of crucial (aerial) habitat, migratory locations, and major migration time-periods that are essential for sustaining migratory populations. Research will entail quantifying the magnitude, spatial extent, and timing of aerial migrations; understanding their (functional) relations with environmental and socio-economic variables; and projecting the consequences of future changes in these variables on migratory populations. This will be achieved by retrieving biological information from weather radar networks using methods that rely on machine learning and statistical analyses to quantify biomass flows of aerial migrants in Europe and North America. It will also estimate the role of migrants in ecosystem functioning and how aerial migratory biomass flows is impacted by external human induced variables.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
需要对社会经济和全球环境趋势对生物多样性和生态系统服务的复杂相互作用进行创新研究,以帮助开发更多信息丰富的情景,以应对环境和人类发展挑战。为了克服这些挑战,需要结合自然-人类系统的方法和分析。这些方案提供了生物多样性和生态系统服务的改进情景,将土地利用、入侵物种、过度开发、生物多样性、环境变化和污染等直接和间接驱动因素的产出结合起来。由此产生的模型提供了一种最先进的方法,可以实现更准确的定量评估、更好的土地利用和更有效的生态系统服务。采用这种方法,这个研究项目是美国科学家和五个欧洲国家之间的国际联盟,旨在量化空中迁徙(鸟类和昆虫)的规模、空间范围和时间,以及它们与环境和社会经济变量的功能关系。候鸟和昆虫种群涉及数千吨的动物生物量,它们在一年中的不同时间通过空气在大陆内部和大陆之间移动。迁徙飞行动物通过各种运输和营养效应在塑造生态系统方面发挥着重要作用,同时也代表着对人类基础设施、农业和福利的服务和损害。该项目揭示了这些生物在形成生态群落多样性方面的作用,并为更好地利用其相关生态系统服务和减少其负面影响提供了信息。这需要跟踪和量化这些物种及其跨大陆的运动,即在大的空间和时间尺度上。这项研究调查了气候等重要变化驱动因素的过去变化;城市地区的扩大;部署能源基础设施,如风力发电场;土地利用/农业的变化。将对数据和结果进行建模,以对环境和人为情景下的未来变化作出预测。将使用航空移民生物量的当前和存档雷达数据。导致迁移模式和当地生态系统功能变化的驱动因素将用于开发基于行为的模型,以便在未来变化下产生预测。这项工作的更广泛影响包括与来自其他五个国家(英国、比利时、荷兰、芬兰和瑞士)的科学家进行国际合作,生成数据以改进政策和资源管理决策,以及帮助减少鸟击造成的飞机损害的信息。其他影响还包括培养一名跨学科、国际化、团队合作研究的博士后学者,以及开发新的软件,使其他人能够根据天气、气候、土地利用、风和光等变量处理空中迁徙的数据。该奖项支持参与由来自23个国家的26个资助机构组成的联盟通过贝尔蒙特论坛征集“生物多样性和生态系统服务情景”提案竞争性选择的项目的美国研究人员。该呼吁是一项多边倡议,旨在支持有助于开发情景、模型和决策支持工具的研究项目,以了解和解决我们星球面临的关键问题。竞赛的目标是改进和应用参与式情景方法,以提高研究的相关性和接受度,并解决影响驱动因素和政策干预建模方法方面的差距。它还开发和交流与模型相关的不确定性水平,以改善数据可访问性并填补知识空白。利用这种方法,美国和五个欧洲国家之间的这一重大国际合作将解决与从本地到大陆的空中迁徙物种(鸟类和昆虫)相关的具有挑战性和紧迫的生物多样性问题。对于这个项目,每个国家将资助自己的科学家和他们在整个项目中的部分。这个跨学科团队由生态学家、气象学家和计算机科学家组成,他们将利用现有的大陆天气(和其他)雷达基础设施,对迁徙的空中生物量流动进行标准化、大规模、长期的监测,并开发可持续的数据、分析基础设施和工作流程,供其他当前和未来的利益相关者使用。这项研究的动机来自这样一个事实,即空中迁徙动物是生物多样性的一个组成部分,并且正在以惊人的速度减少。确定它们对气候和土地利用变化、光污染和风能开发的反应,对于有效保护和减轻人类与野生动物之间的冲突至关重要。因此,这项研究将科学家、气象学家、环保从业者、政策制定者、风能部门和航空安全等各种利益相关者联系起来。目标是发展(a)对空中移徙进行标准的长期和大规模监测;(b)为与人造光扩散有关的政策提供资料;(c)为风能设施和飞机制定减少空中迁徙物种死亡的程序;(d)保护对维持迁徙人口至关重要的关键(空中)栖息地、迁徙地点和主要迁徙时期的政策。研究将需要量化空中迁徙的幅度、空间范围和时间;了解它们与环境和社会经济变量的(功能)关系;并预测这些变量的未来变化对迁徙人口的影响。这将通过使用依赖于机器学习和统计分析的方法从气象雷达网络中检索生物信息来实现,以量化欧洲和北美空中移民的生物量流量。它还将估计移民在生态系统功能中的作用,以及空中迁徙生物量流动如何受到外部人类诱发变量的影响。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(12)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Migratory flight on the Pacific Flyway: strategies and tendencies of wind drift compensation
太平洋迁徙路线上的迁徙飞行:风漂补偿策略与趋势
- DOI:10.1098/rsbl.2019.0383
- 发表时间:2019
- 期刊:
- 影响因子:3.3
- 作者:Newcombe, Patrick B.;Nilsson, Cecilia;Lin, Tsung-Yu;Winner, Kevin;Bernstein, Garrett;Maji, Subhransu;Sheldon, Daniel;Farnsworth, Andrew;Horton, Kyle G.
- 通讯作者:Horton, Kyle G.
Meteorological Data Policies Needed to Support Biodiversity Monitoring with Weather Radar
支持气象雷达生物多样性监测所需的气象数据政策
- DOI:10.1175/bams-d-21-0196.1
- 发表时间:2022
- 期刊:
- 影响因子:8
- 作者:Shamoun-Baranes, Judy;Bauer, Silke;Chapman, Jason W.;Desmet, Peter;Dokter, Adriaan M.;Farnsworth, Andrew;van Gasteren, Hans;Haest, Birgen;Koistinen, Jarmo;Kranstauber, Bart
- 通讯作者:Kranstauber, Bart
Bird strikes at commercial airports explained by citizen science and weather radar data
- DOI:10.1111/1365-2664.13971
- 发表时间:2021-08-18
- 期刊:
- 影响因子:5.7
- 作者:Nilsson, Cecilia;La Sorte, Frank A.;Farnsworth, Andrew
- 通讯作者:Farnsworth, Andrew
The role of artificial light at night and road density in predicting the seasonal occurrence of nocturnally migrating birds
夜间人造光和道路密度在预测夜间迁徙鸟类季节性出现中的作用
- DOI:10.1111/ddi.13499
- 发表时间:2022
- 期刊:
- 影响因子:4.6
- 作者:La Sorte, Frank A.;Johnston, Alison;Rodewald, Amanda D.;Fink, Daniel;Farnsworth, Andrew;Van Doren, Benjamin M.;Auer, Tom;Strimas‐Mackey, Matthew;López, ed., Ana Benítez
- 通讯作者:López, ed., Ana Benítez
MistNet: Measuring historical bird migration in the US using archived weather radar data and convolutional neural networks
- DOI:10.1111/2041-210x.13280
- 发表时间:2019-11-01
- 期刊:
- 影响因子:6.6
- 作者:Lin, Tsung-Yu;Winner, Kevin;Sheldon, Daniel
- 通讯作者:Sheldon, Daniel
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Andrew Farnsworth其他文献
Nighthawk: acoustic monitoring of nocturnal bird migration in the Americas
夜鹰:美洲夜间鸟类迁徙的声学监测
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Benjamin M. Van Doren;Andrew Farnsworth;Kate Stone;Dylan M. Osterhaus;Jacob Drucker;Grant Van Horn - 通讯作者:
Grant Van Horn
Automated acoustic monitoring captures timing and intensity of bird migration
自动声学监测捕捉鸟类迁徙的时间和强度
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:5.7
- 作者:
Benjamin M. Van Doren;V. Lostanlen;A. Cramer;J. Salamon;A. Dokter;S. Kelling;J. Bello;Andrew Farnsworth - 通讯作者:
Andrew Farnsworth
Winds aloft over three water bodies influence spring stopover distributions of migrating birds along the Gulf of Mexico coast
三个水体的高空风影响墨西哥湾沿岸候鸟的春季停留分布
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:2.3
- 作者:
H. Clipp;Jeffrey J. Buler;Jaclyn A. Smolinsky;K. Horton;Andrew Farnsworth;E. Cohen - 通讯作者:
E. Cohen
Approximate Bayesian Inference for Reconstructing Velocities of Migrating Birds from Weather Radar
从气象雷达重建迁徙鸟类速度的近似贝叶斯推理
- DOI:
10.1609/aaai.v27i1.8486 - 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
D. Sheldon;Andrew Farnsworth;Jed Irvine;B. V. Doren;Kevin F. Webb;Thomas G. Dietterich;S. Kelling - 通讯作者:
S. Kelling
Warmer Summers and Drier Winters Correlate with More Winter Vagrant Purple Gallinules (Porphyrio martinicus) in the North Atlantic Region
温暖的夏季和干燥的冬季与北大西洋地区更多的冬季流浪紫鸡(Porphyrio martinicus)有关
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Andrew Farnsworth;F. L. La Sorte;Marshall J. Iliff - 通讯作者:
Marshall J. Iliff
Andrew Farnsworth的其他文献
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{{ truncateString('Andrew Farnsworth', 18)}}的其他基金
BIGDATA: Collaborative Research: IA: BirdVox: Automating Acoustic Monitoring of Migrating Bird Species
BIGDATA:协作研究:IA:BirdVox:迁徙鸟类的自动声学监测
- 批准号:
1633206 - 财政年份:2016
- 资助金额:
$ 18万 - 项目类别:
Continuing Grant
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