Data from: Molecular reassessment of diaporthalean fungi associated with strawberry with Paraphomopsis obscurans gen. et comb. nov. (Melanconiellaceae), the cause of leaf blight
These datasets provide the phylogenetic evidence based on four DNA markers (28S rDNA/LSU, ITS, TEF1 and RPB2) that support the establishment of a monotypic new fungal genus Paraphomopsis.
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Data from: Late Glacial and Holocene records of tree-killing conifer bark beetles in Europe and North America: Implications for forest disturbance dynamics
This study identifies existing fossil records containing bark beetle remains from the end of the Last Glacial Maximum (~14,000 cal. yr BP) to present day using the online databases Neotoma and BugsCEP and literature searches, and compares these data with modern distribution data of selected tree-killing species.
Data from: Carbon sequestration and biodiversity co‐benefits of preserving forests in the western United States
Forest carbon sequestration via forest preservation can be a viable climate change mitigation strategy. Here, we identify forests in the western conterminous United States with high potential carbon sequestration and low vulnerability to future drought and fire, as simulated using the Community Land Model and two high carbon emission scenario (RCP 8.5) climate models.
Data from: Genome sequence of the chestnut blight fungus Cryphonectria parasitica EP155: A fundamental resource for an archetypical invasive plant pathogen
The ascomycete fungus *Cryphonectria parasitica* is the causal agent of chestnut blight disease. This deadly fungal pathogen was introduced into North America from Asia before the turn of the 20th century, quickly spreading throughout the natural range of the American chestnut tree. This dataset provides data about the EP155 genome assembly, including scaffold summaries, genetic maps, mitochondrial DNA, P450s, secondary metabolite clusters, vegetative incompatibility genes, and transposable elements.
Vegetation, rainfall simulation, and overland flow experiments before and after tree removal in woodland-encroached sagebrush steppe: the SageSTEP hydrology study
Simulated rainfall and overland-flow experiments are useful for enhancing understanding of surface hydrologic and erosion processes, quantifying runoff and erosion rates, and developing and testing predictive quantitative models. This extensive dataset consists of rainfall simulation and overland flow experimental plot data coupled with associated measures of vegetation, ground cover, and surface soil properties across point to hillslope scales. Data were collected at three woodland-encroached sagebrush (*Artemisia* spp.) rangelands in the Great Basin, USA, under undisturbed/untreated conditions and 1 yr to 9 yr following fire and/or mechanical tree-removal treatments.
Redapol
A computer-based model simulating the interactions of weather, bloom and honey bee foraging activity that culminate in 'Delicious' apple fruit-set. The model predicts the percentage of blossoms setting fruit based upon weather conditions, orchard design, tree characteistics, and honey bee colonies per hectare.
Data from: Apple flower detection using deep convolutional networks
With the goal of automating bloom intensity estimation, a method a novel method for apple flower detection is presented in which a pre-trained convolutional neural network (CNN) is fine-tuned to become specially sensitive to flowers.
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Data from: The downed and dead wood inventory of forests in the United States
The Forest Inventory and Analysis program of the United States (US) Forest Service has conducted an annual downed dead wood (DDW) inventory on all coterminous US forest land since 2002 (~1 plot per 38,850 ha), with a sample intensification occurring since 2012 (~1 plot per 19,425 ha). The data are organized according to DDW components and by sampling information which can all be linked to a multitude of auxiliary information in the national database.
Leaf-level trade-offs between drought avoidance and desiccation recovery drive elevation stratification in arid oaks: site environmental data, individual tree stem and leaf physiological data, and analyses
We investigated whether oak species in the Chiricahua Mountains were 1) elevationally stratified, 2) whether that stratification was correlated with temperature minima, maxima, and water availability, 3) if physiological tolerances to freezing or drought stress correlated with elevation ranges, and 4) if traits important to local (elevation) distributions were correlated with climatic values of the wider species ranges. Data were collected at field sites from wild, adult trees in the Chiricahua Mountains, Arizona, USA from 2014-2015.