414 results — topic: Plant Biology

Dataset

Shifts in water availability mediate plant-pollinator interactions

Altered precipitation patterns associated with anthropogenic climate change are expected to have many effects on plants and insect pollinators, but it is unknown if effects on pollination are mediated by changes in water availability. We tested the hypothesis that impacts of climate on plant pollina

Gallagher, M. Kate, Campbell, Diane2021DOI: 10.7280/D17C7XCited 1 times
Dataset

Assessment of Spatiotemporal Variability of Evapotranspiration and Its Governing Factors in a Mountainous Watershed at the East River, Colorado, Water: Dataset.

This data package contains simulation results of daily evapotranspiration for 17 locations of meteorological stations with different precipitation, air temperature and vegetation within the East River Watershed, Colorado (CLMResult.csv). Daily precipitation data is included for reference. These are

Tran A P, Rungee J, Faybishenko B2021DOI: 10.15485/1727258
Dataset

Plant species distribution within the Upper Colorado River Basin estimated by using hyperspectral and LiDAR airborne data.

This package is part of the Watershed Function SFA project and contains a remote sensing dataset acquired at the East River, Colorado. The remote sensing dataset is composed of vegetation maps computed from hyperspectral and LiDAR airborne data acquired by the NEON team in June 2018. The maps show t

Falco N, Balde A, Breckheimer I2021DOI: 10.15485/1602034Cited 3 times
Dataset

Site-level Foliar C, N, delta13C data from samples collected during field survey associated with NEON AOP survey, East River, CO 2018.

Carbon (C) and nitrogen (N) weight percent concentrations were obtained from the bulk foliar samples collected across East River, Washington Gulch, Slate River, and Coal Creek watersheds in Gunnison, Colorado during the summer of 2018. These samples were collected from sun-lit leaves of meadow, shru

Chadwick K D, Grant K, Bill M2021DOI: 10.15485/1631278
Dataset

Soil bulk density and texture data collected during field survey associated with NEON AOP survey, East River, CO 2018.

The purpose of soil core sampling was to determine soil bulk density, volumetric water content, and soil texture across the sites that were sampled in association with the National Ecological Observatory Network's Airborne Observation Platform (NEON AOP) in 2018. Soil cores were collected from surfa

Chadwick K D, Pierce S, Sirles M2021DOI: 10.15485/1671826
Dataset

1 m Resolution NDVI for the Upper Gunnison Basin derived from September 2019 NAIP Imagery

This is a 1m resolution map of Normalized Differential Vegetation Index (NDVI) derived from resampled 0.6m 4-band orthoimagery collected as part of the USDA National Aerial Imagery Program. The NAIP tiles were mosaiced and bilinearly resampled to the standard UG 1m grid before calculating NDVI as (N

Ian Breckheimer2021
Dataset

1 m Resolution 4-band orthoimagery for the Upper Gunnison Basin derived from October 2017 NAIP imagery

This is a 1m resolution map of Normalized Differential Vegetation Index (NDVI) derived from resampled 0.6m 4-band orthoimagery collected as part of the USDA National Aerial Imagery Program. The NAIP tiles were mosaiced and bilinearly resampled to the standard UG 1m grid before calculating NDVI as (N

Ian Breckheimer2021
Dataset

1m Resolution NDVI for the Upper Gunnison Basin derived from October 2017 NAIP Imagery

This is a 1m resolution map of Normalized Differential Vegetation Index (NDVI) derived from resampled 0.6m 4-band orthoimagery collected as part of the USDA National Aerial Imagery Program. The NAIP tiles were mosaiced and bilinearly resampled to the standard UG 1m grid before calculating NDVI as (N

Ian Breckheimer2021
Dataset

1 m Resolution Basic Landcover Map for the Upper Gunnison Domain Derived from NAIP Imagery and LiDAR

This is 1 meter resolution landcover map developed for the RMBL Spatial Data Platform. Source datasets include 2017 and 2019 4-band imagery from the National Aerial Imagery Program, and 2019 LiDAR data collected by Quantum Geospatial for the Colorado Hazard Mapping Program. The numeric codes for the

Ian Breckheimer2021
Dataset

3 m Resolution Canopy Cover Estimates for the Upper Gunnison Basin derived from 2015 and 2019 LiDAR Data

This is a map of vegetation canopy cover or density for the Upper Gunnison River Basin based on 2015 and 2019 LiDAR data. Cover is measured as a proportion (0 representing no cover, and 1 representing complete cover). This measure of cover is the inverse of the canopy gap fraction. This dataset was

Ian Breckheimer2021
Article

Sapsuckers, swallows, aspen, willow, and rot

Ehrlich P. R., Daily G. C.1992American Birds
Article

Plant size, geitonogamy, and seed set in <i>Ipomopsis aggregata</i>

De Jong T. J., Waser N. M., Price M. V.1992Oecologia
Article

Factors in recovery of subalpine vegetation studied (Colorado)

Curtin C. G.1992Restoration and Management Notes
Article

Ten years on an aspen branch

Calder W. A.1992Natural History
Article

Oviposition choices by a pre-dispersal seed predator (Hylemya sp.). II. A positive association between female choice and fruit set

Brody A. K.1992Oecologia
Article

Oviposition choices by a pre-dispersal seed predator (Hylemya sp.). I. Correspondence with hummingbird pollinators and the role of plant size, density, and floral morphology

Brody A. K.1992Oecologia
Thesis

Pre-dispersal seed predation by <i>Hylema</i> (Delia) sp. (Diptera: Anthomyiidae): mechanisms and consequences of oviposition choice

Brody A. K.1991
Student Paper

Vegetation comparison of an earth slump with surrounding areas

Seidman V.1991
Student Paper

The importance of aspen root abundance and palatability in excluding northern pocket gophers from aspen groves

Marrujo G.1991
Document

Proposal to Colorado Energy Research Institute for “Seed Money” to Plan a Clearinghouse-Eduction-Ombudsman Program for Energy Development and Impact Activities in the North Fork of the Gunnison Area

Thorne Ecological Institute. March 1, 1975.

1975gunnison_basin