NSF Org:	IOS Division Of Integrative Organismal Systems
Recipient:	THE TRUSTEES OF DAVIDSON COLLEGE
Initial Amendment Date:	August 16, 2022
Latest Amendment Date:	August 16, 2022
Award Number:	2220930
Award Instrument:	Standard Grant
Program Manager:	Patrick Abbot dkabbot@nsf.gov  (703)292-4740 IOS  Division Of Integrative Organismal Systems BIO  Direct For Biological Sciences
Start Date:	January 1, 2023
End Date:	December 31, 2026 (Estimated)
Total Intended Award Amount:	$480,795.00
Total Awarded Amount to Date:	$480,795.00
Funds Obligated to Date:	FY 2022 = $480,795.00
History of Investigator:	Susana Wadgymar (Principal Investigator) suwadgymar@davidson.edu
Recipient Sponsored Research Office:	Davidson College 209 RIDGE RD DAVIDSON NC  US  28036-0407 (704)894-2644
Sponsor Congressional District:	12
Primary Place of Performance:	Davidson College Box 7149 Davidson NC  US  28035-7149
Primary Place of Performance Congressional District:	12
Unique Entity Identifier (UEI):	MYR7QGXJF3J5
Parent UEI:
NSF Program(s):	Evolutionary Processes, ORCC-Organism Resp Clim Change, Systematics & Biodiversity Sci
Primary Program Source:	01002223DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):	9178, 9179, 9229
Program Element Code(s):	112700, 208Y00, 737400
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.074

ABSTRACT

Successful conservation of global biodiversity requires that biologists accurately predict the risk of species extinction under future climate conditions. However, current models often make simplifying assumptions about the biology of plants and animals. For example, some models assume that a species can easily migrate through the landscape when this is not the case, or that a species is not able to evolve rapidly to environmental change when this is actually a possibility. Our interdisciplinary team will study the biology of a plant species to determine what data researchers and conservationists need to predict how climate change will influence extinction risk for plants in the natural environment. We will use the partridge pea (Chamaecrista fasciculata), a common and widespread plant in natural grasslands, to identify the type of data needed to improve ecological models for conservation planning. We will evaluate genetic differences and rates of gene flow among populations and estimate these populations? ability to evolve in response to climate change to identify models that best describe or forecast rates of change under new climate conditions. In collaboration with the Georgia Plant Conservation Alliance and the Southeastern Grasslands Initiative, we will apply what we learn to develop a series of tools that practitioners can use to predict extinction risks under climate change for at-risk grassland species. This work will significantly improve our ability to protect biodiversity in the southeastern U.S. and in habitats around the world.

Populations across the range of a species vary in their migratory and adaptive potential under climate change. Most approaches aimed at predicting population persistence under climate change make simplifying assumptions about plasticity, adaptation, and gene flow that are commonly violated in natural systems. We combine approaches from evolutionary biology, field ecology, and population genomics to forecast range-wide dynamics under climate change in a broadly distributed native legume (Chamaecrista fasciculata). Our studies examine the migratory potential of populations under climate change using population genomic estimators of historical gene flow. To evaluate adaptive potential, we will expose paternal half-sib families from 12 populations to contemporary climates and simulated climate change in common gardens across the range. Finally, we will forecast eco-evolutionary dynamics under climate change using models that differ in the degree to which they incorporate data on species occurrence, additive genetic variance in fitness in response to climate, trait expression, sequence variation, and gene flow. Our work will provide a robust framework for predictions of range-wide responses to climate change in systems that are less amenable to manipulation. We will collaborate with conservation practitioners in the Georgia Plant Conservation Alliance and Southeastern Grasslands Initiative to produce risk assessment tools that project range dynamics under climate change for endangered plant species. In workshops, we will discuss our progress and provide opportunities for our trainees to forge connections with conservation practitioners. The PIs will recruit, train, and mentor scholars from historically marginalized backgrounds in population genomics, quantitative genetics, data analysis, and ecological modeling.

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.

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