216 results — topic: Plant Biology
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Depth profiles of soil CO2 Concentrations, soil temperature, and soil moisture (Rocky Mountain Biological Laboratory, Gothic, Colorado, 2011-2016)
Soil respiration (the flux of CO2 from the soil surface) is one of the largest and most variable fluxes in the global carbon cycle, and yet also one of the least understood, primarily due to methodological difficulties. These are (1) measuring soil respiration at high temporal frequencies and (2) at
Diversity and abundance of phyllosphere bacteria are linked to insect herbivory
Simultaneous or sequential attack by herbivores and microbes is common in plants. Many seed plants exhibit a defence trade-off against chewing herbivorous insects and leaf-colonizing ( phyllosphere ) bacteria, which arises from cross-talk between the phytohormones jasmonic acid (JA, induced by many
Pollinator visitation rate and effectiveness vary with flowering phenology
Premise of the Study – Flowering time may influence pollination success and seed set through a variety of mechanisms, including seasonal changes in total pollinator visitation or the composition and effectiveness of pollinator visitors. Methods – We investigated mechanisms by which changes in flower
Frost sensitivity of leaves and flowers of subalpine plants is related to tissue type and phenology
Harsh abiotic conditions such as low temperatures that lead to spring and summer frost events in high-elevation and high-latitude ecosystems can have strong negative consequences for plant growth, survival, and reproduction. Despite the predicted increase in episodic frost events under continued cli
