The overall goal of this project was to design a wood frame shear wall that could withstand greater displacement before damage occurred to the Gypsum Wall Board (GWB). More specifically, the objectives of the study were: (1) to evaluate damage to the GWB in alternative shear wall designs at 1%,...
The overall goal of this project was to design a wood frame shear wall that could withstand greater displacement before damage occurred to the gypsum wall board (GWB). A total of 14 shear walls consisting of seven different designs with two walls built per design were tested to failure. Six...
Background: Osteosarcoma (OSA) is the most common primary bone tumor of dogs and carries a poor prognosis
despite aggressive treatment. An improved understanding of the biology of OSA is critically needed to allow for
development of novel diagnostic, prognostic, and therapeutic tools. The surface-exposed proteome (SEP) of a
cancerous cell...
We developed a new climate-sensitive vegetation state-and-transition simulation
model (CV-STSM) to simulate future vegetation at a fine spatial grain commensurate
with the scales of human land-use decisions, and under the joint influences of changing
climate, site productivity, and disturbance. CV-STSM integrates outputs from four different
modeling systems. Successional changes in...
We developed a new climate-sensitive vegetation state-and-transition simulation
model (CV-STSM) to simulate future vegetation at a fine spatial grain commensurate
with the scales of human land-use decisions, and under the joint influences of changing
climate, site productivity, and disturbance. CV-STSM integrates outputs from four different
modeling systems. Successional changes in...
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management
GABRIEL I. YOSPIN,1,10 SCOTT D. BRIDGHAM,2 RONALD P. NEILSON,3 JOHN P. BOLTE,4 DOMINIQUE M
1. Spatial climate variables are routinely used in species distribution models (SDMs) without accounting for the
fact that they have been predicted with uncertainty, which can lead to biased estimates, erroneous inference and
poor performances when predicting to new settings – for example under climate change scenarios.
2. We show...
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Daly, Scott D. Foster,
Michael B. Ashcroft and David I. Warton
4
Web Appendix A: Algorithms and
1. Spatial climate variables are routinely used in species distribution models (SDMs) without accounting for the
fact that they have been predicted with uncertainty, which can lead to biased estimates, erroneous inference and
poor performances when predicting to new settings – for example under climate change scenarios.
2. We show...
Full Text:
, D. I. (2015). A
climate of uncertainty: accounting for error in climate variables for species
1. Spatial climate variables are routinely used in species distribution models (SDMs) without accounting for the fact that they have been predicted with uncertainty, which can lead to biased estimates, erroneous inference and poor performances when predicting to new settings – for example under climate change scenarios. 2. We show...