40 results — topic: FOS: Biological sciences
Leaf gas exchange in Ipomopsis aggregata under manipulated snowmelt timing and summer precipitation
Vegetative traits of plants can respond directly to changes in the environment, such as those occurring under climate change. That phenotypic plasticity could be adaptive, maladaptive, or neutral. We manipulated the timing of spring snowmelt and amount of summer precipitation in factorial combinatio
Carry-over effects of larval food stress on adult energetics and life history in a nectar-feeding butterfly
Stressful juvenile developmental conditions can affect performance and fitness later in life. In holometabolous insects such as butterflies, development under stressful conditions may lead to smaller adult size, lower reproductive output and shorter lifespan. However, how larval developmental stress
Marmot mass gain rates relate to their group’s social structure
Mass gain is an important fitness correlate for survival in highly seasonal species. While many physiological, genetic, life history, and environmental factors can influence mass gain, more recent work suggests the specific nature of an individual’s own social relationships also influences mass gain
Gunnison sage-grouse habitat suitability of six satellite populations in southwestern Colorado: San Miguel, Crawford, Pinon Mesa, Dove Creek, Cerro Summit-Cimarron-Sims, and Poncha Pass
We developed habitat selection models for Gunnison sage-grouse (Centrocercus minimus), a threatened species under the U.S. Endangered Species Act. We followed a management-centric modeling approach that sought to balance the need to evaluate the consistency of key habitat conditions and improvement
Changing climate drives divergent and nonlinear shifts in flowering phenology across elevations
Pocket gopher (<i>Thomomys talpoides</i>) soil disturbance peaks at mid-elevation and is associated with air temperature, forb cover, and plant diversity
Burrowing mammals can be ecosystem engineers by increasing soil aeration and erosion and altering the structure of plant communities. Studies that characterize the constraints on the distributions of fossorial mammal disturbances to soil can help predict changes in ecosystem engineering under future
Integral projection models from natural populations
This folder contains the data file and R scripts necessary to model population growth rates (lambda) of a natural population, based on data from five transects from 2010-2012. Please contact Jill Anderson (jta24@uga.edu) with questions.
Model output and meta-analysis data from INTERFACE paper
Model output and meta-analysis data from model-experiment comparison that came out of INTERFACE workshop. Includes output from five soil carbon models and a meta-analysis of warming and litter addition experiments. Code is posted at: https://github.com/bsulman/INTERFACE-model-experiment-synthesis
Data from: Interannual bumble bee abundance is driven by indirect climate effects on floral resource phenology.
This is an archive of the data used in the publication: Ogilvie JE, Griffin SR, Gezon ZJ, Inouye BD, Underwood N, Inouye DW, Irwin RE. 2017. Interannual bumble bee abundance is driven by indirect climate effects on floral resource phenology. Ecology Letters, doi: 10.1111/ele.12854 DATA DESCRIPTION B
Data from: Aboveground resilience to species loss but belowground resistance to nitrogen addition in a montane plant community
Data from: Aboveground resilience to species loss but belowground resistance to nitrogen addition in a montane plant community, Read, Quentin D., Henning, Jeremiah A., Classen, Aimée T., Sanders, Nathan J. Journal of Plant Ecology. DOI: 10.1093/jpe/rtx015 Data are contained in comma-separated value
Appendix A. The environmental settings of the 59 plots on the Uncompahgre Plateau in western Colorado.
The environmental settings of the 59 plots on the Uncompahgre Plateau in western Colorado.
Appendix A. The environmental settings of the 59 plots on the Uncompahgre Plateau in western Colorado.
The environmental settings of the 59 plots on the Uncompahgre Plateau in western Colorado.
Appendix A. The environmental settings of the 59 plots on the Uncompahgre Plateau in western Colorado.
The environmental settings of the 59 plots on the Uncompahgre Plateau in western Colorado.
Appendix A. The environmental settings of the 59 plots on the Uncompahgre Plateau in western Colorado.
The environmental settings of the 59 plots on the Uncompahgre Plateau in western Colorado.
Appendix A. List of the graminoid species in the experimental warming meadow, Rocky Mountain Biological Laboratory, Gunnison County, Colorado, USA.
List of the graminoid species in the experimental warming meadow, Rocky Mountain Biological Laboratory, Gunnison County, Colorado, USA.
Appendix A. List of the graminoid species in the experimental warming meadow, Rocky Mountain Biological Laboratory, Gunnison County, Colorado, USA.
List of the graminoid species in the experimental warming meadow, Rocky Mountain Biological Laboratory, Gunnison County, Colorado, USA.
Supplement 1. Temperature and light data recorded at trap-nest sites, 2007–2010.
File List temp_data.txt light_data.txt Description Both files are tab-delimited text files. Temperatures (in degrees Celsius) were recorded in 2007–2008 using LogTag data-loggers, and in 2008–2010 using HOBO data-loggers. Light intensities (in lux) were recorded in 2008–2010 only, using HOBO data-lo
Supplement 1. Temperature and light data recorded at trap-nest sites, 2007–2010.
File List temp_data.txt light_data.txt Description Both files are tab-delimited text files. Temperatures (in degrees Celsius) were recorded in 2007–2008 using LogTag data-loggers, and in 2008–2010 using HOBO data-loggers. Light intensities (in lux) were recorded in 2008–2010 only, using HOBO data-lo
Fine-grained distribution of a non-native resource can alter the population dynamics of a native consumer
Map data used in simulations described in: Mifuyu Nakajima and Carol l. Boggs. 2015. Fine-grained distribution of a non-native resource can alter the population dynamics of a native consumer. PLOS ONE.