169 results — topic: Data Science & Modeling

Dataset

Catchment-flowline network and selected model inputs for an enhanced and updated spatially referenced statistical assessment of dissolved-solids load sources and transport in streams of the Upper Colorado River Basin

This USGS data release consists of the synthetic stream network and associated catchments used to develop spatially referenced regressions on watershed attributes (SPARROW) model of dissolved-solids sources and transport in the Upper Colorado River Basin as well as geology and selected Basin Charact

Buto, Susan G2017DOI: 10.5066/f76t0jt4Cited 3 times
Dataset

Data from: Experimental species removals impact the architecture of pollination networks

Mutualistic networks are key for the creation and maintenance of biodiversity, yet are threatened by global environmental change. Most simulation models assume that network structure remains static after species losses, despite theoretical and empirical reasons to expect dynamic responses. We assess

Brosi, Berry J., Niezgoda, Kyle, Briggs, Heather M.2017DOI: 10.5061/dryad.b5h65Cited 1 times
Dataset

Mating function (R script)

Estimation of the mating function – how local operational sex ratio affects female reproductive success – of Valeriana edulis. This script includes a simulation of pollen limitation across a range of operational sex ratios.

Petry, William K., Soule, Judith D., Iler, Amy M.2016DOI: 10.5061/dryad.1cf8p/23
Dataset

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

Forrest, Jessica R. K., Thomson, James D.2016DOI: 10.6084/m9.figshare.3567777
Dataset

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

Forrest, Jessica R. K., Thomson, James D.2016DOI: 10.6084/m9.figshare.3567777.v1
Dataset

Data from: Does one model fit all? patterns of beech mortality in natural forests of three European regions

Large uncertainties characterize forest development under global climate change. Although recent studies have found widespread increased tree mortality, the patterns and processes associated with tree death remain poorly understood, thus restricting accurate mortality predictions. Yet, projections o

Hülsmann, Lisa, Bugmann, Harald K.M., Commarmot, Brigitte2016DOI: 10.5061/dryad.h4s6tCited 1 times
Dataset

Data from: Environmental controls on canopy foliar N distributions in a neotropical lowland forest

Distributions of foliar nutrients across forest canopies can give insight into their plant functional diversity and improve our understanding of biogeochemical cycling. We used airborne remote sensing and Partial Least Squares Regression (PLSR) to quantify canopy foliar nitrogen (N) across ~164 km2

Balzotti, Christopher S., Asner, Gregory P., Taylor, Philip G.2016DOI: 10.5061/dryad.ck585Cited 1 times
Dataset

Data from: Spatiotemporal fire dynamics in mixed-conifer and aspen forests in the San Juan Mountains of southwestern Colorado, USA

Mixed-severity fire regimes may be the most extensive yet poorly understood fire regimes of western North America. Understanding their long-term spatiotemporal dynamics is central to debates regarding altered fire regimes and the need for restoration in the context of changing climate and nearly a c

Tepley, Alan J., Veblen, Thomas Thorstein2015DOI: 10.5061/dryad.906ft
Dataset

Data from: Spatiotemporal fire dynamics in mixed-conifer and aspen forests in the San Juan Mountains of southwestern Colorado, USA

Mixed-severity fire regimes may be the most extensive yet poorly understood fire regimes of western North America. Understanding their long-term spatiotemporal dynamics is central to debates regarding altered fire regimes and the need for restoration in the context of changing climate and nearly a c

Tepley, Alan J., Veblen, Thomas Thorstein2015DOI: 10.5061/dryad.906ftCited 1 times
Dataset

Data from: Are leaf functional traits “invariant” with plant size, and what is “invariance” anyway?

Studies of size-related plant traits have established a suite of mathematical functions describing whole plant investment and allocation. In parallel, studies of plant “economic spectra” have measured the scaling and variance composition of traits related to the major dimensions of both structure an

Price, Charles A., Wright, Ian J., Ackerly, David D.2015DOI: 10.5061/dryad.r3n45Cited 1 times
Dataset

Data from: Crown asymmetry in high latitude forests: disentangling the directional effects of tree competition and solar radiation

Light foraging by trees is a fundamental process shaping forest communities. In heterogeneous light environments this behavior is expressed as plasticity of tree growth and the development of structural asymmetries. We studied the relative influence of neighborhood structure and directional solar ra

Aakala, Tuomas, Shimatani, Ichiro, Abe, Toshihiro2015DOI: 10.5061/dryad.6t6gpCited 1 times
Dataset

Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Alamosa and Saguache Counties, Colorado

This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radia

Hussein, Khalid2012DOI: 10.15121/1361050
Dataset

Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Archuleta County

This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radia

Hussein, Khalid2012DOI: 10.15121/1361177
Dataset

Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Dolores County

This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radia

Hussein, Khalid2012DOI: 10.15121/1361178
Dataset

Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data in Northern Saguache County, Colorado

This map shows areas of anomalous surface temperature in northern Saguache Counties identified from ASTER and LANDSAT thermal data and spatial based insolation model. The temperature for the ASTER data was calculated using the Emissivity Normalization Algorithm that separate temperature from emissiv

Hussein, Khalid2012DOI: 10.15121/1361182
Dataset

Areas with Surface Thermal Anomalies as Detected by ASTER and LANDSAT Data in Northwest Delta, Colorado

This map shows areas of anomalous surface temperature in northern Saguache Counties identified from ASTER and LANDSAT thermal data and spatial based insolation model. The temperature for the ASTER data was calculated using the Emissivity Normalization Algorithm that separate temperature from emissiv

Hussein, Khalid2012DOI: 10.15121/1361184
Dataset

Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Alamosa and Saguache Counties, Colorado

This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radia

Hussein, Khalid2012DOI: 10.15121/1361050
Dataset

Surface Temperature Anomalies Derived from Night Time ASTER Data Corrected for Solar and Topographic Effects, Archuleta County

This map shows areas of anomalous surface temperature in Alamosa and Saguache Counties identified from ASTER thermal data and spatial based insolation model. The temperature is calculated using the Emissivity Normalization Algorithm that separate temperature from emissivity. The incoming solar radia

Hussein, Khalid2012DOI: 10.15121/1361177
Article

Interspecific pollen transfer and competition between co-occurring plant species

Results from simulations suggest that competition for pollination through interspecific pollen transfer can result in rapid exclusion of one of two species, and that such competition represents a selective force promoting stable divergence of potential competitors in habitat affinity, flowering time

Waser N. M.1978OecologiaDOI: 10.1007/bf00349811Cited 314 times