4 Works

Guidelines for including bamboos in tropical ecosystem monitoring

Belen Fadrique, Joseph Veldman, James Dalling, Lynn Clark, Lia Montti, Eduardo Ruiz-Sanchez, Debora Rother, Francisca Ely, William Farfan-Rios, Paul Gagnon, Juan Carlos Camargo Garcia, Sonali Saha, Thomas Veblen, Ximena Londoño, Kenneth Feeley & Cara Rockwell
Bamboos are a diverse and ecologically important group of plants that have the potential to modulate the structure, composition and function of forests. With the aim of increasing the visibility and representation of bamboo in forest surveys, and to standardize techniques across ecosystems, we present a protocol for bamboo monitoring in permanent research plots. A bamboo protocol is necessary because measurements and sampling schemes that are well-suited to trees are inadequate for monitoring most bamboo...

Data from: Exploring movement decisions: can Bayesian movement-state models explain crop consumption behaviour in elephants (Loxodonta africana)?

Susanne Vogel, Ben Lambert, Anna Songhurst, Graham McCulloch, Amanda Stronza & Tim Coulson
1. Animal movements towards goals or targets are based upon either maximization of resources or risk avoidance, and the way animals move can reveal information about their motivation for movement. 2. We use Bayesian movement models and hourly GPS-fixes to distinguish animal movements into movement states and analyse the influence of environmental variables on being in and switching to a state. Specifically, we apply our models to understand elephant movement decisions surrounding agricultural fields and...

A narrow window for geographic cline analysis using genomic data: effects of age, drift, and migration on error rates

Gaston Jofre & Gil Rosenthal
The use of genomic and phenotypic data to scan for outliers is a mainstay for studies of hybridization and speciation. Geographic cline analysis of natural hybrid zones is widely used to identify putative signatures of selection by detecting deviations from baseline patterns of introgression. As with other outlier-based approaches, demographic histories can make neutral regions appear to be under selection and vice versa. In this study, we use a forward-time individual-based simulation approach to evaluate...

Data from: Accurate genomic predictions for chronic wasting disease in U.S. white-tailed deer

Christopher M. Seabury, David L. Oldeschulte, Eric K. Bhattarai, Dhruti Legare, Pamela J. Ferro, Richard P. Metz, Charles D. Johnson, Mitchell A. Lockwood & Tracy A. Nichols
The geographic expansion of chronic wasting disease (CWD) in U.S. white-tailed deer (Odocoileus virginianus) has been largely unabated by best management practices, diagnostic surveillance, and depopulation of positive herds. Using a custom Affymetrix Axiom® single nucleotide polymorphism (SNP) array, we demonstrate that both differential susceptibility to CWD, and natural variation in disease progression, are moderately to highly heritable ( among farmed U.S. white-tailed deer, and that loci other than PRNP are involved. Genome-wide association analyses...

Registration Year

  • 2021
  • 2020

Resource Types

  • Dataset


  • Texas A&M University System
  • Texas A&M University
  • Western Institute of Technology and Higher Education
  • Miami Dade College
  • University of North Carolina
  • Technological University of Pereira
  • Texas Parks and Wildlife Department
  • Latin American and Caribbean Society of Medical Oncology
  • University of Miami
  • Florida International University