287 results — topic: Alpine & Subalpine Ecology

Dataset

Mammalian herbivores restrict the altitudinal range limits of three alpine grass species (transplant and herbivore exclusion experiment and demographic data from natural populations), West Elk Mountains, Colorado, USA 2015-2018

Though rarely experimentally tested, biotic interactions have long been hypothesized to limit low-elevation range boundaries of species. We tested the effects of herbivory on three alpine-restricted plant species by transplanting plants below (novel), at the edge (limit), or in the center (core) of

Joshua Lynn, Jennifer Rudgers, Tom Miller2021DOI: 10.6073/pasta/193a9609b5ff5cec2690b3ac67b57c82
Dataset

WRF Large-Eddy Simulation Data from Realtime Runs Used to Support UAS Operations during LAPSE-RATE

Realtime micro-scale weather simulations were performed to support UAV (Uncrewed Aerial Vehicle) flights during the ISARRA Lower Atmospheric Process Studies at Elevation a Remotely-piloted Aircraft Team Experiment (LAPSE-RATE) field deployment. These simulations were performed by driving a nested gr

Pinto, James, Jimenez, Pedro, Hertneky, Tracey2021DOI: 10.5065/83r2-0579
Dataset

Mammalian herbivores restrict the altitudinal range limits of three alpine grass species, West Elk Mountains, Colorado, USA 2015-2018

Though rarely experimentally tested, biotic interactions have long been hypothesized to limit low-elevation range boundaries of species. We tested the effects of herbivory on three alpine-restricted plant species by transplanting plants below (novel), at the edge (limit), or in the center (core) of

Lynn, Joshua S., Rudgers, Jennifer A., Miller, Tom E.X.2021DOI: 10.6073/pasta/cc071f8b88f494375ccc97050c5ba275
Dataset

Early snowmelt and warming experiments to study plant phenology

Phenology - the timing of life events - determines how a species’ life cycle aligns with the abiotic and biotic environment, however, climate change has altered the environmental cues organisms use to track climate leading to shifts in phenology. In high latitude environments, phenological shifts in

Jerome, Diana K, Petry, Will K, Mooney, Kailen A2021DOI: 10.6073/pasta/8831719d04c94504eed6b12318ed7312
Dataset

Effects of flowers on land surface albedo and soil microclimate

The phenology of vegetation, namely leaf-out and senescence, can influence the Earth’s climate over regional spatial scales and long time periods (e.g., over 30 years or more), in addition to microclimates over local spatial scales and shorter time periods (weeks to months). However, the effects of

Iler, Amy2021DOI: 10.5061/dryad.zcrjdfn8mCited 1 times
Dataset

Annually collected demography data from an alpine plant community on Mt. Baldy, Colorado (38.978725°N, 107.042104°W, ~3540 masl).

Description: Annual demography dataset for an alpine plant community in Colorado. This file updates previous years of data for this project posted to https://datadryad.org/stash/dataset/doi:10.5061/dryad.33410. This version is provisional and will be updated shortly with additional years of data and

Blonder, Benjamin, Ray, Courtenay, Kapas, Rozalia2021DOI: 10.5281/zenodo.4632220
Dataset

Long-term changes in flowering synchrony reflect climatic changes across an elevational gradient

These are the data with the accompanying R code used in the article Long-term changes in flowering synchrony reflect climatic changes across an elevational gradient , by Fisogni A, de Manincor N, Bertelsen CD, and Rafferty NE. We provide the raw data on flowering phenology, temperature and precipita

Fisogni Alessandro, de Manincor Natasha, Bertelsen C. David2021DOI: 10.5281/zenodo.5586297Cited 1 times
Dataset

Sensor-based phenology from snowmelt experiment gradient, East River, Colorado, 2017 to 2020

The timing of snowmelt is a critical cue for the initiation of growth in mountain meadow ecosystems and can also impact the duration and magnitude of plant production. High frequency observations of species-level phenology are time consuming and require a high degree of expertise, and publicly avail

Heidi Steltzer, Amanda Henderson, Chelsea Wilmer2021DOI: 10.15485/1842910
Dataset

Surface soil temperature and water content from warming experiment located at the Rocky Mountain Biological Laboratory, Colorado, 2015 to 2019

This data package consists of soil temperature and soil water content sensor data from the warming experiment near the Rocky Mountain Biological Laboratory. Data range is from summer 2015 to summer 2019, when the warming manipulation was terminated. The location of the warming experiment is in the u

Heidi Steltzer, Amanda Henderson, Chelsea Wilmer2021DOI: 10.15485/1842908
Dataset

Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020

The timing of snowmelt in mountain systems is a main driver of vegetation phenology and production, as well as recharge of soil moisture and ground water. Decreases in maximum snowpack and warmer spring temperatures have led to a higher frequency of early snowmelt. This study combines a natural elev

Heidi Steltzer, Chelsea Wilmer, Amanda Henderson2021DOI: 10.15485/1842907
Dataset

Quality Assurance and Quality Control (QA/QC) of Meteorological Time Series Data for Billy Barr, East River, Colorado USA

A comprehensive Quality Assurance (QA) and Quality Control (QC) statistical framework consists of three major phases: Phase 1—Preliminary raw data sets exploration, including time formatting and combining datasets of different lengths and different time intervals; Phase 2—QA of the datasets, includi

Boris Faybishenko, Roelof Versteeg, Gilberto Pastorello2021DOI: 10.15485/1823516
Dataset

East River Watershed Stable Water Isotope Data in Precipitation, Snowpack and Snowmelt 2016-2020

Stable water isotopes (d18O, d2H and d-excess) are important tracers in hydrologic research to understand water partitioning between vegetation, groundwater, and runoff but are rarely applied to large watersheds with persistent snowpack and complex topopgraphy. Data were collected for the Lawrence B

Rosemary Carroll, Wendy Brown, Alexander Newman2021DOI: 10.15485/1824223Cited 1 times
Dataset

Sensor-based phenology from snowmelt experiment gradient, East River, Colorado, 2017 to 2020

The timing of snowmelt is a critical cue for the initiation of growth in mountain meadow ecosystems and can also impact the duration and magnitude of plant production. High frequency observations of species-level phenology are time consuming and require a high degree of expertise, and publicly avail

Heidi Steltzer, Amanda Henderson, Chelsea Wilmer2021DOI: 10.15485/1842910
Dataset

Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020

The timing of snowmelt in mountain systems is a main driver of vegetation phenology and production, as well as recharge of soil moisture and ground water. Decreases in maximum snowpack and warmer spring temperatures have led to a higher frequency of early snowmelt. This study combines a natural elev

Heidi Steltzer, Chelsea Wilmer, Amanda Henderson2021DOI: 10.15485/1842907
Dataset

East River Watershed Stable Water Isotope Data in Precipitation, Snowpack and Snowmelt 2016-2020

Stable water isotopes (d18O, d2H and d-excess) are important tracers in hydrologic research to understand water partitioning between vegetation, groundwater, and runoff but are rarely applied to large watersheds with persistent snowpack and complex topopgraphy. Data were collected for the Lawrence B

Rosemary Carroll, Wendy Brown, Alexander Newman2021DOI: 10.15485/1824223Cited 1 times
Dataset

Sensor-based phenology from snowmelt experiment gradient, East River, Colorado, 2017 to 2020

The timing of snowmelt is a critical cue for the initiation of growth in mountain meadow ecosystems and can also impact the duration and magnitude of plant production. High frequency observations of species-level phenology are time consuming and require a high degree of expertise, and publicly avail

Heidi Steltzer, Amanda Henderson, Chelsea Wilmer2021DOI: 10.15485/1842910
Dataset

Sensor-based phenology from snowmelt experiment gradient, East River, Colorado, 2017 to 2020

The timing of snowmelt is a critical cue for the initiation of growth in mountain meadow ecosystems and can also impact the duration and magnitude of plant production. High frequency observations of species-level phenology are time consuming and require a high degree of expertise, and publicly avail

Heidi Steltzer, Amanda Henderson, Chelsea Wilmer2021DOI: 10.15485/1842910
Dataset

Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020

The timing of snowmelt in mountain systems is a main driver of vegetation phenology and production, as well as recharge of soil moisture and ground water. Decreases in maximum snowpack and warmer spring temperatures have led to a higher frequency of early snowmelt. This study combines a natural elev

Heidi Steltzer, Chelsea Wilmer, Amanda Henderson2021DOI: 10.15485/1842907
Dataset

East River Watershed Stable Water Isotope Data in Precipitation, Snowpack and Snowmelt 2016-2020

Stable water isotopes (d18O, d2H and d-excess) are important tracers in hydrologic research to understand water partitioning between vegetation, groundwater, and runoff but are rarely applied to large watersheds with persistent snowpack and complex topopgraphy. Data were collected for the Lawrence B

Rosemary Carroll, Wendy Brown, Alexander Newman2021DOI: 10.15485/1824223Cited 1 times
Dataset

Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020

The timing of snowmelt in mountain systems is a main driver of vegetation phenology and production, as well as recharge of soil moisture and ground water. Decreases in maximum snowpack and warmer spring temperatures have led to a higher frequency of early snowmelt. This study combines a natural elev

Heidi Steltzer, Chelsea Wilmer, Amanda Henderson2021DOI: 10.15485/1842907