In 2019, the North Coast Redwoods District of California State Parks began to implement the Humboldt marten population inventory and monitoring protocol (Slauson and Moriarty 2014) in the Redwood National and State Parks (RNSP) complex with the goal on conducting a complete survey of all park units in the complex within 4 years. In 2019, Del Norte Coast Redwoods State Park and the National Park units adjacent to it were surveyed and Humboldt martens were detected at only one of 36 survey units (Slauson 2021). This single detection occurred on the eastern edge of the park in serpentine forest habitat. In 2020, Prairie Creek Redwoods State Park and the adjacent portions of Redwood National Park were surveyed and martens were detected at 12 (31%) of 39 surveys units (Slauson 2021). In 2021, surveys were conducted in Jedediah Smith Redwoods State Park and in 2022, the final portion of Redwood National Park which included most of the Redwood Creek watershed in the southern end of the Park was surveyed. This report covers the final two years (2021 and 2022) of survey efforts needed to complete the first systematic survey inventory of martens and their predators across all the park units in the RNSP complex.

This volume's release consists of 42105 media files captured by autonomous wildlife monitoring devices under the project, Adirondack Inventory & Monitoring (AIM) Network. The attached files listed below include several CSV files that provide information about the data release. The file, "media.csv" provides the metadata about the media, such as filename and date/time of capture. The actual media files are housed within folders under the volume's "child items" as compressed files. A critical CSV file is "dictionary.csv", which describes each CSV file, including field names, data types, descriptions, and the relationship of each field to fields other CSV files. Some of the media files may have been "tagged" or "annotated" by either humans or by machine learning models, identifying wildlife targets within the media. If so, this information is stored in "annotations.csv" and "modeloutputs.csv", respectively. To protect privacy, all personally identifiable information (PII) have been removed, locations have been "blurred" by bounding boxes, and media featuring sensitive taxa or humans have been omitted. To enhance data reuse, the sbRehydrate() function in the AMMonitor R package will download files and re-create the original AMMonitor project (database + media files). See source code at https://code.usgs.gov/vtcfwru/ammonitor.

White-tailed deer (WTD) can exert substantial impacts on the ecosystems in the Southeastern United States. WTD populations in Vicksburg National Military Park (VICK) have not been surveyed since 2010. This study aimed to develop a cost-effective visual count-density conversion method using WTD counts from spotlight surveys and density estimates from fecal-DNA spatially explicit capture-recapture (SECR) models. We conducted spotlight surveys of WTD in January, March, and May, 2023. Average visual counts of WTD were 96.0 in January, March, and May. Direct visual deer counts were greater than those of the 2009 VICK WTD spotlight surveys by 40%-220%. Average WTD relative abundances were 8.5 deer per mile in January, March, and May, respectively. Average density estimated by distance sampling models was 0.65 deer per ha. We used eight microsatellite markers to genotype WTD fecal samples, fecal DNA spatially explicit capture-recapture models estimated 778 WTD within VICK. The WTD densities were positively related to the proportions of forests and open fields in VICK. White-tailed deer appeared to be overabundant within VICK, causing concerns relative to WTD-human conflicts and exacerbating the risk of wildlife disease transmission. We proposed a method for estimating WTD densities with visual counts, which will allow park staff to convert WTD visual counts from spotlight surveys to WTD densities until substantial changes in VICK’s vegetation and/or habitat management occur. The timely, cost-effective monitoring of WTD populations can help park staff better manage natural resources within VICK, including the mitigation of the damages caused by overabundant WTD to natural resources.

Inventory of small mammals tabular data in the Fort Clatsop subunit of Lewis and Clark National Historic Park, 2002. In 2001, a small mammal and bat survey was conducted at Fort Clatsop National Memorial (FOCL, now known as Lewis and Clark National Historical Park, or LEWI). Sherman live traps were used to sample in 5 areas of the park, and mist nets were used to sample volant mammals in one additional area of the park. A total of 418 captures representing 242 individual animals of 9 small mammal species were documented as a result of the study. In addition, one bat was captured (long-eared bat - Myotis evotis).

Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.

From June 23-28 and on August 6, 2002, Mount Rainier Wildlife Program staff conducted a small mammal inventory, a rapid assessment of bat species, and documented the presence of other mammals in the area at Fort Vancouver National Historical Site (FOVA) and parts of the Vancouver National Historic Reserve (Reserve). Our small mammal inventory focused on live trapping in seven habitat types for 600 trap-nights. We captured 74 unique individuals of five different species (+ two unknown) and documented two additional species incidentally. The most frequently-trapped species was the deer mouse (Peromyscus maniculatus). We collected eight voucher specimens to include at least one of each of the five species trapped. We were unable to capture bats in one night of mist-netting in the Reserve but did identify big brown bat (Eptesicus fuscus) calls using an electronic bat detector and visually documented likely two different Myotis species.

Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.