
NSF Org: |
DEB Division Of Environmental Biology |
Recipient: |
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Initial Amendment Date: | July 29, 2015 |
Latest Amendment Date: | July 29, 2015 |
Award Number: | 1550786 |
Award Instrument: | Standard Grant |
Program Manager: |
Betsy Von Holle
mvonholl@nsf.gov (703)292-4974 DEB Division Of Environmental Biology BIO Directorate for Biological Sciences |
Start Date: | January 1, 2016 |
End Date: | December 31, 2018 (Estimated) |
Total Intended Award Amount: | $20,976.00 |
Total Awarded Amount to Date: | $20,976.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
1600 SW 4TH AVE PORTLAND OR US 97201-5508 (503)725-9900 |
Sponsor Congressional District: |
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Primary Place of Performance: |
1600 SW 4th Ave Portland OR US 97207-0751 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | MacroSysBIO & NEON-Enabled Sci |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.074 |
ABSTRACT
Understanding variation in the internal and external drivers of community composition across taxa and systems informs both ecological theory and conservation, particularly regarding the resilience and composition of ecological communities in the face of rapid global change. The proposed research will use National Ecological Observatory Network (NEON) data to determine how assembly processes internal to the community (e.g., biotic interactions, microenvironmental heterogeneity) and large-scale assembly processes external to the community (e.g., climate, land use) combine to affect intraspecific trait variation and community structure at a continental scale. Whether internal or external processes filter how communities respond to their environment will advance the ability to forecast effects of climate change on communities. The proposed work will also contribute to the public through a general science festival; to broad undergraduate education through modules contributed to the Ecological Society of America; and to specific education through the involvement of undergraduates and a postdoc in the research.
The proposed research will address the importance of intraspecific variation of functional morphological traits of plants, ground beetles, and small mammals. Bayesian regression analyses and Bayesian structural equation modeling will be used to uncover the relative importance of intraspecific trait variation in structuring continental-scale biodiversity patterns. Data will be derived from NEON specimens, phylogenies for these taxonomic groups, and NEON environmental and climatic data. The analyses will separate the direct and indirect effect of species richness, phylogenetic relationships, and abiotic variables on the relative influences of internal and external filters that structure communities. Species and environmental data from NEON will provide an unprecedented opportunity to use standardized data to examine continental-scale intraspecific variation on multiple traits across several taxonomic groups. The analyses will contribute new public data for other scientists, and outreach will be developed through existing platforms for science dissemination.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
Intellectual Merit:
Why does biological diversity tend to increase towards the tropics and decrease towards the poles? The reasons for this pattern have been debated and likely involve a combination of environmental conditions but also the degree of competition among species over shared resources. We set out to answer this question with a unique dataset from the National Ecological Observatory Network (NEON), consisting of small mammals across the United States and measures of their body sizes. We found that although temperature explained some of the variation in diversity at the continental scale, it was the degree of competition that explained the most variation in diversity, represented by the degree to which species overlapped each other in body sizes. Our findings imply that increased mammal diversity is enabled by species-specific specialization on resources to avoid competition, which tends to be more intense in warmer regions. This insight would not have been possible without explicitly accounting for individual body sizes and leveraging a continent-wide observational network; most classic work on species coexistence used only species mean body size values within a single ecosystem.
Ultimately, understanding and forecasting the patterns of biodiversity across the globe requires incorporating both environmental and biological drivers of species distributions. Yet biological drivers are rarely incorporated into models predicting species distributions. Through a meta-analysis, we identified key knowledge gaps in this area and highlight research needed to advance models through incorporating interactions among species (like predation, competition, and pollination), and dispersal abilities of species. In addition, we developed a framework that connects habitat structure and the configuration of human land use with the ability of species to interact with each other, improving our ability to explain patterns of biodiversity and species distributions from local to global scales. Finally, we improved fundamental understanding of marine predator diversity patterns across the globe, based on predator-prey relationships, animal physiology, and climate.
Broader Impacts:
In all, three peer-reviewed publications resulted from this award, and involved graduate and postdoc authors in addition to the PIs. We placed a high priority on open science, including open access publications, and data and code for analyses deposited in public repositories. Graduate students and postdoctoral associates were involved in this research through data collection, analysis, interpretation, manuscript writing, and presentation of results through peer-reviewed manuscripts and oral and poster presentations at local to international conferences.
We reached scientific audiences through numerous talks at universities and local to international scientific conferences, and through an organized session at the Ecological Society of America, ?Challenges and opportunities for investigating ecological communities across space and time: insights from coordinated research networks.?
Last Modified: 04/30/2019
Modified by: Angela Strecker
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