This layer represents the number of Tier 1 fish species known to occur in each HUC10 watershed in the state, according to data available in CPW’s fish database as of December 2014. There are 25 fish species on the Tier 1 SGCN list; a maximum of eight different species occur in the same watershed. This map is an indicator of species richness only; it does not consider relative habitat quality, or population metrics such as density or abundance, across watersheds.
This dataset represents the Terrestrial Conservation Opportunity Areas identified by the 2015 update to Missouri's State Wildlife Action Plan.
The Conservation Opportunity Areas (COAs) for Tennessee capture populations of GCN species and high quality habitats, and as appropriate, define the geographically relevant framework for achieving conservation outcomes. The COAs currently designed for Tennessee are large geographies, with the expectation that further prioritization and goal setting for specific habitat outcomes can be achieved within them through collaborations with partners on shared objectives. While designing the COAs for Tennessee, the planning team considered three major attributes: GCN habitat priority, the problems affecting the habitats, and the on-the-ground opportunities to implement conservation actions.
Orthorectified image from aerial photograph of wetland P3 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.
Orthorectified image from aerial photograph of wetland T4 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.
Orthorectified image from aerial photograph of wetlands T6 and T7 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.
Digital Shoreline Analysis System version 4.3 Transects with Short-Term End Point Rate Calculations for Louisiana
Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
Impacts of Climate Warming on River Ice Break-up and Snowmelt Freshet Processes on the Porcupine River in Northern Yukon
Determining Priority Amphibian and Reptile Conservation Areas (PARCAs) in the South Atlantic landscape, and assessing their efficacy for cross-taxa conservation: Geographic Dataset
GIS layers depicting South Atlantic Priority Amphibian and Reptile Conservation Areas (PARCAs)
This data layer represents a tested potential Conservation Target (CT) for PFLCC's Priority Resource (PR): Coastal Uplands. The suggested potential CT was Species Richness. Species Richness is one component of biodiversity, an important aspect of landscape conservation. Biodiversity is important for maintaining the balance of natural communities and ecosystems upon which humans also depend. Florida has a high level of species diversity and endemism but the state is experiencing threats to its natural heritage from a variety of sources. The data used in this analysis in addition to the Priority Resource layer is the Species Richness layer from the CLIP 4.0 geodatabase. The core layer of the geodatabase is from the...
Growing together: A principle-based approach to building collaborative Indigenous partnerships in Canada’s forest sector
This data layer represents a potential Conservation Target (CT) for PFLCC's 'Hardwood Forested Uplands' Priority Resource (PR). The potential CT shown here is the protected/managed area. These layers were created for an initial investigation of potential CT's suggested at brainstorming workshops. The initial investigation entails locating available datasets to address the suggested CT as closely as possible and performing minimal analyses to determine their usefulness. The final set of CT's and their associated datasets will be chosen after targets (e.g., endpoints) are established as a threshold for achieving a conservation success for that CT. The data layer available for evaluating the area under management and/or...
Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ...
Seasonal foraging strategies of Alaskan gray wolves (<i>Canis lupus</i>) in a salmon subsidized ecosystem
The Jiashi cluster is named for Jiashi County of the Xinjiang Autonomous Region of NW China. It is composed mainly of events related to the earthquake sequence in early 1997, including two M5.9 events on January 21 and an M6.1 event on April 11. There were many other moderate-sized events in the sequence, which occurred near the western margin of the Tarim Basin and the border with Kyrgyzstan. As a result this cluster is very rich in arrival time data at far-regional and teleseismic distances. Number of events: 125 Calibration type: direct calibration using data to 1.2 degrees; hypocentroid calibration level = 2.7 km Epicentral calibration range: 3 - 5 km Date range: 19771218 - 20041007 Latitude range: 39.303...