Leaf wetness was measured continuously in the lower, middle, and upper canopy of one mature and one young Douglas-fir tree at five sites situated along an elevational gradient from west side of Coast Range of Oregon to west side of Cascade Range of Oregon. This dataset is associated with the following publication: Lan, Y., D.C. Shaw, P.A. Beedlow, E. Lee, and R.S. Waschmann. Severity of Swiss needle cast in young and mature Douglas-fir forests in western Oregon, USA. FOREST ECOLOGY AND MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 442: 79-95, (2019).

Nothophaeocryptopus gaeumannii is a common native, endophytic fungus of Douglas-fir foliage, which causes Swiss needle cast, an important foliage disease that is considered a threat to Douglas-fir plantations in Oregon. Disease expression is influenced by fungal fruiting bodies (pseudothecia), which plug the stomata and inhibit gas exchange. We measured foliar retention and the density of pseudothecia occluding stomates across 2- to 5-year-old needles from upper, middle and lower canopy positions of mature trees at three sites in the Oregon Coast Range and two sites in the western Oregon Cascade Mountains. This dataset is associated with the following publication: Shaw, D.C., G. Ritóková, Y. Lan, D.B. Mainwaring, A. Russo, R. Comeleo, S. Navarro, D. Norlander, and B. Smith. Persistence of the Swiss Needle Cast Outbreak in Oregon Coastal Douglas-fir, and New Insights from Research and Monitoring. JOURNAL OF FORESTRY. Society of American Foresters, Bethesda, MD, USA, 119(4): 407-421, (2021).

Dendrochronological data for Douglas-fir and western hemlock for sites in western Oregon. This dataset is associated with the following publication: Lee, E., P. Beedlow, R. Waschmann, S. Cline, M. Bollman, C. Wickham, and N. Testa. Tree-ring history of Swiss needle cast impact on Douglas-fir growth in western Oregon: Correlations with climatic variables. Journal of Plant Science and Phytopathology. Heighten Science Publications Inc. (HSPI), East Windsor, CT, USA, 76-87, (2021).

Dendrochronological data for Douglas-fir and western hemlock for sites in western Oregon. This dataset is associated with the following publication: Lee, E., P. Beedlow, R. Waschmann, S. Cline, M. Bollman, C. Wickham, and N. Testa. Tree-ring history of Swiss needle cast impact on Douglas-fir growth in western Oregon: Correlations with climatic variables. Journal of Plant Science and Phytopathology. Heighten Science Publications Inc. (HSPI), East Windsor, CT, USA, 76-87, (2021).

This dataset provides in situ measurements of radial tree growth of selected white spruce (Picea glauca) and black spruce (Picea mariana) trees, as well as simultaneous in situ measurements of environmental variables (air temperature, air pressure, relative humidity, soil temperature, volumetric water content, and solar irradiance) at two Arctic treeline sites: one in the Brooks Range of Alaska (AK), USA, and the other near Inuvik, Northwest Territories (NWT), Canada. In AK, 36 trees were monitored from June 7, 2016 to September 13, 2019, and in NWT, 24 trees were monitored from July 5, 2017 to July 25, 2019 with a sampling interval of 5- or 20-minutes for radial tree growth and 5-minutes for all environmental variables. The dendrometer data included in this dataset are only those gathered from 2016-2017. Dendrometer data from 2018-2019 are available from a related dataset. The data were collected to better understand the influence of environmental variables on radial tree growth dynamics. The data are provided in comma-separated values (CSV) format.

Tree mortality survey data for Coast-Crest field sites. Instrumental records of air temperature, precipitation, relative humidity, vapor pressure deficit, solar radiation, photosynthetically active radiation, wind speed and direction, as well as soil moisture and soil temperature at network of monitored field sites in western Oregon.

This data release includes data-processing scripts, data products, and associated metadata for a remote-sensing based approach to characterize vegetation sensitivity to droughts from 2000 through 2016 in the U.S. states of Washington, Oregon, and Idaho. Drought sensitivity analysis was conducted in minimally-disturbed (‘intact’) forest and shrub-steppe ecosystems, defined as 1-km pixels (i.e., grid cells) that had not experienced major recent insect mortality or fire. Drought conditions were assessed using the multi-scalar standardized precipitation evapotranspiration index (SPEI), for which positive values indicate wetter that average conditions and negative values indicate drier than average conditions for a given site (Vicente-Serrano and others, 2010). A multi-scalar drought sensitivity index (S’) was developed for two drought intensity levels (L): moderate drought (-1.5 < SPEI ≤ -1) and severe drought (SPEI ≤ -1.5). Vegetation response to droughts was quantified using remotely sensed Enhanced Vegetation Index (EVI) from the Moderate-resolution Imaging Spectroradiometer (MODIS) for summer months (June, July, and August) from 2000 through 2016. EVI is a vegetation index calculated from the blue, red, and near-infrared spectral bands representing atmospherically corrected surface reflectance and has advantages over other similar indices in its abilities to represent areas of dense vegetation (Huete and others, 2002). For each pixel, S’ represents the percent decrease in EVI under drought conditions relative to baseline (non-drought, non-pluvial) conditions. Relationships between S’ and a variety of landscape characteristics representing climatic water balance, topography, soil characteristics, and shallow groundwater availability were examined using Boosted Regression Tree (BRT) modeling, a machine-learning algorithm. For detailed descriptions of data-release components, including analysis methods and modeling, please consult the appropriate metadata documents that accompany the processing scripts and data products.

This data release includes data-processing scripts, data products, and associated metadata for a remote-sensing based approach to characterize vegetation sensitivity to droughts from 2000 through 2016 in the U.S. states of Washington, Oregon, and Idaho. Drought sensitivity analysis was conducted in minimally-disturbed (‘intact’) forest and shrub-steppe ecosystems, defined as 1-km pixels (i.e., grid cells) that had not experienced major recent insect mortality or fire. Drought conditions were assessed using the multi-scalar standardized precipitation evapotranspiration index (SPEI), for which positive values indicate wetter that average conditions and negative values indicate drier than average conditions for a given site (Vicente-Serrano and others, 2010). A multi-scalar drought sensitivity index (S’) was developed for two drought intensity levels (L): moderate drought (-1.5 < SPEI ≤ -1) and severe drought (SPEI ≤ -1.5). Vegetation response to droughts was quantified using remotely sensed Enhanced Vegetation Index (EVI) from the Moderate-resolution Imaging Spectroradiometer (MODIS) for summer months (June, July, and August) from 2000 through 2016. EVI is a vegetation index calculated from the blue, red, and near-infrared spectral bands representing atmospherically corrected surface reflectance and has advantages over other similar indices in its abilities to represent areas of dense vegetation (Huete and others, 2002). For each pixel, S’ represents the percent decrease in EVI under drought conditions relative to baseline (non-drought, non-pluvial) conditions. Relationships between S’ and a variety of landscape characteristics representing climatic water balance, topography, soil characteristics, and shallow groundwater availability were examined using Boosted Regression Tree (BRT) modeling, a machine-learning algorithm. For detailed descriptions of data-release components, including analysis methods and modeling, please consult the appropriate metadata documents that accompany the processing scripts and data products.

These datasets are continuous parameter grids (CPG) of total annual precipitation data for the years 2000 through 2016 in the Pacific Northwest. Source precipitation data was produced by the PRISM Climate Group at Oregon State University.

These datasets are continuous parameter grids (CPG) of total annual precipitation data for the years 2000 through 2016 in the Pacific Northwest. Source precipitation data was produced by the PRISM Climate Group at Oregon State University.