The spreadsheet contains certified data extracted from the GLKN Landbird Monitoring database, which includes data for bird species observations during point count surveys and site condition information. The GLKN Landbird Monitoring Database is designed to hold field data and to disseminate certified data in a variety of ways.

Ground-based monitoring for the vegetation composition and structure vital sign for the Southwest Alaska Network (SWAN), focuses on documenting trends in the structure, composition, and demography of selected late-successional vegetation classes in response to environmental changes across three elevation bands (0-450 m; >450-900 m; >900 m) within the three largest parks: Katmai (KATM), Kenai Fjords (KEFJ), and Lake Clark (LACL). SWAN employed a Generalized Random-Tesselation Stratified (GRTS) sampling design, which involved a two-stage sampling scheme to ensure safety and accessibility while establishing permanent plots in selected vegetation classes. In order to focus on long-term changes rather than successional dynamics, the monitoring targeted specific vegetation classes that are common, late-seral, and sensitive to environmental changes, while avoiding early-successional classes. The selected vegetation associations included low elevation interior spruce forests, mid-elevation white spruce woodlands, low and dwarf shrub communities, and alpine dwarf shrub-fellfield communities, reflecting a gradient from warm coastal to colder alpine environments. Selected monitoring plots were revisited at approximately 5 year intervals, during which point intercept, nested quadrat frequency, tree censuses, and other structural and environmental measurements were performed.

This dataset contains monitoring data for vegetation at Crater Lake NP, Lassen Volcanic NP, Lava Beds NM, Oregon Caves NMP, Redwood NSP, and Whiskeytown NRA. A core concept of the Klamath Inventory and Monitoring Networks vegetation monitoring protocol is that assessing the composition, structure, and function of vegetation communities, can be used to evaluate the ecological integrity of wider park habitats. Therefore, monitoring vegetation change is imperative to detecting and understanding the status and trends in park ecosystems. Objectives are to: sample vegetation and environmental parameters every 3 years using a 3 year revisit frequency; monitor status and trends in vegetation composition; monitor status and trends in vegetation structure and function.

This dataset contains monitoring data for vegetation at Crater Lake NP, Lassen Volcanic NP, Lava Beds NM, Oregon Caves NMP, Redwood NSP, and Whiskeytown NRA. A core concept of the Klamath Inventory and Monitoring Networks vegetation monitoring protocol is that assessing the composition, structure, and function of vegetation communities, can be used to evaluate the ecological integrity of wider park habitats. Therefore, monitoring vegetation change is imperative to detecting and understanding the status and trends in park ecosystems. Objectives are to: sample vegetation and environmental parameters every 3 years using a 3 year revisit frequency; monitor status and trends in vegetation composition; monitor status and trends in vegetation structure and function.

This dataset contains monitoring data for vegetation at Crater Lake NP, Lassen Volcanic NP, Lava Beds NM, Oregon Caves NMP, Redwood NSP, and Whiskeytown NRA. A core concept of the Klamath Inventory and Monitoring Networks vegetation monitoring protocol is that assessing the composition, structure, and function of vegetation communities, can be used to evaluate the ecological integrity of wider park habitats. Therefore, monitoring vegetation change is imperative to detecting and understanding the status and trends in park ecosystems. Objectives are to: sample vegetation and environmental parameters every 3 years using a 3 year revisit frequency; monitor status and trends in vegetation composition; monitor status and trends in vegetation structure and function.

This dataset represents the forest vegetation monitoring from 2006-2024 collected by the National Capital Region Network (NCRN) Inventory and Monitoring Program. Data were collected from over 400 forest plots randomly scattered throughout National Parks in the NCR. Each of the plots was monitored a single time within a four-year return cycle. Data related to forest structure and plant community composition is reported for the region as a whole and each individual park. This data package includes information about: Trees, Shrubs, Herbaceous Vegetation, Coarse Woody Debris, Vines, and Conditions including Pests and Diseases.

This dataset represents the forest vegetation monitoring from 2006-2024 collected by the National Capital Region Network (NCRN) Inventory and Monitoring Program. Data were collected from over 400 forest plots randomly scattered throughout National Parks in the NCR. Each of the plots was monitored a single time within a four-year return cycle. Data related to forest structure and plant community composition is reported for the region as a whole and each individual park. This data package includes information about: Trees, Shrubs, Herbaceous Vegetation, Coarse Woody Debris, Vines, and Conditions including Pests and Diseases.

The geodatabase represents the sampling design used to meet the project's purpose. The sampling design relies upon spatially balanced GRTS sampling. Geodatabase representing the sample design for the North Coast and Cascades Network (NCCN) forest vegetation monitoring project. The Forest Monitoring project objectives are to monitor trends in the processes of tree recruitment, growth, and mortality, and in forest structure and composition. The geodatabase represents the sampling design used to meet project objectives. The sampling design relied upon spatially balanced, Generalized Random Tessellation Stratified (GRTS) sampling for all parks. The GRTS sample design was created using stratified equal probability survey design methods (psurvey.design package for R). Strata were defined based on elevation bands. The sample design formed the basis for office and field evaluation of selected locations, and the subsequent establishment of long-term monitoring plots.