Treesearch

Passive acoustic monitoring is an emerging approach to wildlife monitoring that leverages recent improvements in automated recording units and other technologies. A central challenge of this approach is the task of locating and identifying target species vocalizations in large volumes of audio data. To address this issue, we developed an efficient data processing pipeline using a deep convolutional neural network (CNN) to automate the detection of owl vocalizations in spectrograms generated from unprocessed field recordings. While the project was initially focused on spotted and barred...

Passive acoustic monitoring using autonomous recording units (ARUs) is a fast-growing area of wildlife research especially for rare, cryptic species that vocalize. Northern Spotted Owl (Strix occidentalis caurina) populations have been monitored since the mid-1980s using mark–recapture methods. To evaluate an alternative survey method, we used ARUs to detect calls of Northern Spotted Owls and Barred Owls (S. varia), a congener that has expanded its range into the Pacific Northwest and threatens Northern Spotted Owl persistence. We set ARUs at 30 500-ha hexagons (150 ARU stations) with...

Summertime low clouds are common in the Pacific Northwest (PNW), but spatiotemporal patterns have not been characterized. We show the first maps of low cloudiness for the western PNW and North Pacific Ocean using a 22‐year satellite‐derived record of monthly mean low cloudiness frequency for May through September and supplemented by airport cloud base height observations. Domain‐wide cloudiness peaks in midsummer and is strongest over the Pacific. Empirical orthogonal function (EOF) analysis identified four distinct PNW spatiotemporal modes: oceanic, terrestrial highlands, coastal, and...

1. Surveys for environmental DNA (eDNA) can provide an efficient and effective means of detecting aquatic organisms in various types of aquatic systems. 2. In the summer of 2017, the efficacy of a new, integrated eDNA backpack sampler to detect two native amphibians (Rana sierraeand R. cascadae) at risk was tested in complex mountain meadows in California. Samples were collected at 65 locations in 15 meadows where the target species were known to be present or were historically present. 3. Collection and preservation of individual samples took less than 10 min on average. Environmental DNA...

Context As the frequency of large, severe fires increases, detecting the drivers of spatial fire severity patterns is key to predicting controls provided by weather, fuels, topography, and management. Objectives Identify the biophysical and management drivers of severity patterns and their spatial variability across the 2013 Rim Fire, Sierra Nevada, California, USA. Methods Random forest models were developed separately for reburned and fire-excluded ([80 year) areas within Yosemite National Park (NP) and Stanislaus National Forest (NF). Models included biophysical, past disturbance, and...

This resource update is a brief look at some of the basic metrics that describe the status of and changes to forest resources in New Jersey. This information is based on field data collected using the USDA Forest Service Forest Inventory and Analysis (FIA) annualized sample design, and it is updated yearly.Tables for Forests of New Jersey, 2019 can be found at https://doi.org/10.2737/FS-RU-249-TablesThe FIA one-click application that generated this report can be found at https://doi.org/10.2737/FIA-One-Click-State-Report-v1.2.

This resource update is a brief look at some of the basic metrics that describe the status of and changes to forest resources in New York. This information is based on field data collected using the USDA Forest Service Forest Inventory and Analysis (FIA) annualized sample design, and it is updated yearly.Tables for Forests of New York, 2019 can be found at https://doi.org/10.2737/FS-RU-250-TablesThe FIA one-click application that generated this report can be found at https://doi.org/10.2737/FIA-One-Click-State-Report-v1.2.

This resource update is a brief look at some of the basic metrics that describe the status of and changes to forest resources in Pennsylvania . This information is based on field data collected using the USDA Forest Service Forest Inventory and Analysis (FIA) annualized sample design, and it is updated yearly.Tables for Forests of Pennsylvania , 2019 can be found at https://doi.org/10.2737/FS-RU-251-TablesThe FIA one-click application that generated this report can be found at https://doi.org/10.2737/FIA-One-Click-State-Report-v1.2.