51 results — topic: Plants
Custom NEON AOP reflectance mosaics and maps of shade masks, canopy water content.
This mosaic of visible to shortwave infrared (VSWIR) data was derived from the assignable asset NEON AOP radiance data that was collected by LBNL s Watershed Function SFA during the summer of 2018 (DOI: 10.15485/1617204). This atmospheric correction was completed to take into account site-specific t
Life histories of the perennial geophyte Erythronium grandiflorum (Liliaceae) in Colorado subalpine transplant garden from annual measurements, 1991 onward
In an outdoor garden at Irwin, Colorado, we established glacier lily plants in open-bottomed PVC pots that protected them from gopher attack. The initial cohorts were excavated from field sites as mature corms of unknown age. Later cohorts were grown from seed, so their ages are known. Each spring s
Quality-controlled Vegetation Canopy Height Model for the Upper East River Domain
This is a vegetation canopy height map from the 2018 NEON AOP dataset. It was derived from the NEON Lidar-based digital surface model and the re-processed SDP NEON DEM. Pixels with low NDVI or inside building footprints were set to a value of zero.
Leaf-off 1m Digital Surface Model of the Upper East River Domain
This is a digital surface model from the 2018 NEON AOP dataset. It represents the height above sea level for objects attached to the ground, such as buildings. This version of the data includes the elevation of buildings and other non-vegetation objects such as bridges. Areas of deciduous vegetation
Leaf mass per area and leaf water content measurements from field survey in association with NEON AOP survey, East River, CO 2018. A Multiscale Approach to Modeling Carbon and Nitrogen Cycling within a High Elevation Watershed.
Leaf area, wet, and dry weights for leaf samples from sites where field sampling was conducted during the 2018 National Ecological Observatory Network (NEON) Airborne Observation Platform (AOP) imaging spectroscopy and lidar surveys in Gunnison County, Colorado. The sampling sites were located acros
Long-term flowering phenology and abundance data at Gothic, Colorado
Prof. David Inouye has been collecting data on the abundance and timing of flowers that fall within permanent plots at the Rocky Mountain Biological Laboratory (RMBL), in Gothic, Colorado, USA, from 1973 to present. During the growing season, flowers of each species are counted approximately every o
Data for 'Weak latitudinal gradients in insect herbivory for dominant rangeland grasses of North America'
Patterns of insect herbivory may follow predictable geographical gradients, with greater herbivory at low latitudes. However, biogeographic studies of insect herbivory often do not account for multiple abiotic factors (e.g. precipitation, soil nutrients) that could underlie gradients. We tested for
Data for Lynn et al. “Soil microbes that may accompany climate warming increase alpine plant production”
Climate change is causing species with non-overlapping ranges to come in contact, and a key challenge is to predict the consequences of such species re-shuffling. Experiments on plants have focused largely on novel competitive interactions; other species interactions, such as plant-microbe symbioses
Plant composition data from 67 grassland sites of the Upper Gunnison Basin, CO, USA, 2014
Here, we deposit data from a vegetation survey conducted in 2014. The data was collected to document current vegetation patterns in the region, parameterize species distribution models, and assess community turnover in flower color. The survey was conducted in the Upper Gunnison Basin and the enviro
RMBL Digitized Herbarium Records
Vascular Plants curated within the Rocky Mountain Biological Laboratory Herbarium. Specimens date to 1929 and are primarily from the East River and upper Gunnison basin.
Data for Context-dependent biotic interactions control plant abundance across altitudinal environmental gradients, 2014, 2016, Colorado, USA
Many biotic interactions influence community structure, yet most distribution models for plants have focused on plant competition or used only abiotic variables to predict plant abundance. Furthermore, biotic interactions are commonly context-dependent across abiotic gradients. For example, plant-pl