This dataset contains spatially-referenced tabular data associated with a study to characterize vegetation conditions within a dry mixed conifer forest study area (the Gearhart Mountain Wilderness) in southern Oregon, USA, in 2001 (a single year drought without any widespread insect mortality) and 2009 (during a multi-year drought that coincided with a severe outbreak of mountain pine beetle; MPB). Specifically, this study identified refugia from the effects of droughts (in 2001 and in 2009) and interacting drought-MPB effects (in 2009). In this study, refugia were defined as local areas that were relatively buffered against detrimental ecological effects from drought and MPB-attack. Refugia were quantified using remotely-sensed Normalized Difference Moisture Index (NDMI) from the Landsat archive across a 30-m resolution grid. This dataset contains the identified refugia in each year (2001 and 2009) along with landscape characteristics (topographic, soil, and forest stand characteristics) that were used as explanatory variables to model the locations of refugia. References: Cartwright, 2018,

This dataset contains spatially-referenced tabular data associated with a study to characterize vegetation conditions within a dry mixed conifer forest study area (the Gearhart Mountain Wilderness) in southern Oregon, USA, in 2001 (a single year drought without any widespread insect mortality) and 2009 (during a multi-year drought that coincided with a severe outbreak of mountain pine beetle; MPB). Specifically, this study identified refugia from the effects of droughts (in 2001 and in 2009) and interacting drought-MPB effects (in 2009). In this study, refugia were defined as local areas that were relatively buffered against detrimental ecological effects from drought and MPB-attack. Refugia were quantified using remotely-sensed Normalized Difference Moisture Index (NDMI) from the Landsat archive across a 30-m resolution grid. This dataset contains the identified refugia in each year (2001 and 2009) along with landscape characteristics (topographic, soil, and forest stand characteristics) that were used as explanatory variables to model the locations of refugia. References: Cartwright, 2018,

This dataset contains spatially-referenced tabular data associated with a study to characterize vegetation conditions within a dry mixed conifer forest study area (the Gearhart Mountain Wilderness) in southern Oregon, USA, in 2001 (a single year drought without any widespread insect mortality) and 2009 (during a multi-year drought that coincided with a severe outbreak of mountain pine beetle; MPB). Specifically, this study identified refugia from the effects of droughts (in 2001 and in 2009) and interacting drought-MPB effects (in 2009). In this study, refugia were defined as local areas that were relatively buffered against detrimental ecological effects from drought and MPB-attack. Refugia were quantified using remotely-sensed Normalized Difference Moisture Index (NDMI) from the Landsat archive across a 30-m resolution grid. This dataset contains the identified refugia in each year (2001 and 2009) along with landscape characteristics (topographic, soil, and forest stand characteristics) that were used as explanatory variables to model the locations of refugia. References: Cartwright, 2018,

Supplemental tables S-1 through S-5 for the report Landscape phenology, vegetation condition, and relations with climate at Black Canyon of the Gunnison National Park, 2000-2019.

This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. The NAIP image is the product of merged and processed NAIP images (from 2009, 2011, 2013, 2015) in order to greatly reduce shadow effects. The methodology for generating the merged NAIP is explained in detail in the mapping project report.