Life Sciences Commons^™

Demography With Drones: Detecting Growth And Survival Of Shrubs With Unoccupied Aerial Systems, Peter J. Olsoy, Andrii Zaiats, Donna M. Delparte, Matthew J. Germino, Bryce A. Richardson, Anna V. Roser, Jennifer S. Forbey, Megan E. Cattau, T. Trevor Caughlin

Biology Faculty Publications and Presentations

Large-scale disturbances, such as megafires, motivate restoration at equally large extents. Measuring the survival and growth of individual plants plays a key role in current efforts to monitor restoration success. However, the scale of modern restoration (e.g., >10,000 ha) challenges measurements of demographic rates with field data. In this study, we demonstrate how unoccupied aerial system (UAS) flights can provide an efficient solution to the tradeoff of precision and spatial extent in detecting demographic rates from the air. We flew two, sequential UAS flights at two sagebrush (Artemisia tridentata) common gardens to measure the survival and growth of …

Acclimation And Hardening Of A Slow-Growing Woody Species Emblematic To Western North America From In Vitro Plantlets, Peggy Martinez, Marcelo Serpe, Rachael Barron, Sven Buerki

Biology Faculty Publications and Presentations

Premise: Determining the tolerance of plant populations to climate change requires the development of biotechnological protocols producing genetically identical individuals used for genotype-by-environment experiments. Such protocols are missing for slow-growth, woody plants; to address this gap, this study uses Artemisia tridentata, a western North American keystone shrub, as model.

Methods and Results: The production of individual lines is a two-step process: in vitro propagation under aseptic conditions followed by ex vitro acclimation and hardening. Due to aseptic growth conditions, in vitro plantlets exhibit maladapted phenotypes, and this protocol focuses on presenting an approach promoting morphogenesis for slow-growth, woody species. …

Near-Infrared Spectroscopy Aids Ecological Restoration By Classifying Variation Of Taxonomy And Phenology Of A Native Shrub, Brecken C. Robb, Peter J. Olsoy, T. Trevor Caughlin, Stephanie J. Galla, Marcella R. Fremgen-Tarantino, Jordan D. Nobler, Jennifer S. Forbey

Biology Faculty Publications and Presentations

Plant communities are composed of complex phenotypes that not only differ among taxonomic groups and habitats but also change over time within a species. Restoration projects (e.g. translocations and reseeding) can introduce new functional variation in plants, which further diversifies phenotypes and complicates our ability to identify locally adaptive phenotypes for future restoration. Near-infrared spectroscopy (NIRS) offers one approach to detect the chemical phenotypes that differentiate plant species, populations, and phenological states of individual plants over time. We use sagebrush (Artemisia spp.) as a case study to test the accuracy by which NIRS can classify variation within taxonomy and …

A Draft Genome Provides Hypotheses On Drought Tolerance In A Keystone Plant Species In Western North America Threatened By Climate Change, Anthony E. Melton, James Beck, Stephanie J. Galla, Marcelo Serpe, Stephen Novak, Sven Buerki

Biology Faculty Publications and Presentations

Climate change presents distinct ecological and physiological challenges to plants as extreme climate events become more common. Understanding how species have adapted to drought, especially ecologically important nonmodel organisms, will be crucial to elucidate potential biological pathways for drought adaptation and inform conservation strategies. To aid in genome-to-phenome research, a draft genome was assembled for a diploid individual of Artemisia tridentata subsp. tridentata, a threatened keystone shrub in western North America. While this taxon has few genetic resources available and genetic/genomics work has proven difficult due to genetic heterozygosity in the past, a draft genome was successfully assembled. Aquaporin …

Unifying Community Detection Across Scales From Genomes To Landscapes, Stephanie F. Hudon, Andrii Zaiats, Anna Roser, Anand Roopsind, Cristina Barber, Brecken Robb, Britt Pendleton, Merry M. Davidson, Jonas Frankel-Bricker, Marcella Fremgen-Tarantino, Jennifer Sorensen Forbey, Eric Hayden, Olivia K. Rodriguez, T. Trevor Caughlin

Biology Faculty Publications and Presentations

Biodiversity science encompasses multiple disciplines and biological scales from molecules to landscapes. Nevertheless, biodiversity data are often analyzed separately with discipline-specific methodologies, constraining resulting inferences to a single scale. To overcome this, we present a topic modeling framework to analyze community composition in cross-disciplinary datasets, including those generated from metagenomics, metabolomics, field ecology and remote sensing. Using topic models, we demonstrate how community detection in different datasets can inform the conservation of interacting plants and herbivores. We show how topic models can identify members of molecular, organismal and landscape-level communities that relate to wildlife health, from gut microbes to forage …

Weather Affects Post-Fire Recovery Of Sagebrush-Steppe Communities And Model Transferability Among Sites, Cara Applestein, T. Trevor Caughlin, Matthew J. Germino

Biology Faculty Publications and Presentations

Altered climate, including weather extremes, can cause major shifts in vegetative recovery after disturbances. Predictive models that can identify the separate and combined temporal effects of disturbance and weather on plant communities and that are transferable among sites are needed to guide vulnerability assessments and management interventions. We asked how functional group abundance responded to time since fire and antecedent weather, if long-term vegetation trajectories were better explained by initial post-fire weather conditions or by general five-year antecedent weather, and if weather effects helped predict post-fire vegetation abundances at a new site. We parameterized models using a 30- yr vegetation …

Phytochemistry Predicts Habitat Selection By An Avian Herbivore At Multiple Spatial Scales, Graham G. Frye, John W. Connelly, David D. Musil, Jennifer S. Forbey

Biology Faculty Publications and Presentations

Animal habitat selection is a process that functions at multiple, hierarchically structured spatial scales. Thus multi-scale analyses should be the basis for inferences about factors driving the habitat selection process. Vertebrate herbivores forage selectively on the basis of phytochemistry, but few studies have investigated the influence of selective foraging (i.e., fine-scale habitat selection) on habitat selection at larger scales. We tested the hypothesis that phytochemistry is integral to the habitat selection process for vertebrate herbivores. We predicted that habitats selected at three spatial scales would be characterized by higher nutrient concentrations and lower concentrations of plant secondary metabolites (PSMs) than …