California

Legacy ID: 
6
State Code: 
CA
Country Code: 
USA
Area: 
157 776.00
Latitude: 
37.24
Longitude: 
-119.60
Publication Title: 

The relationship between female brooding and male nestling provisioning: does climate underlie geographic variation in sex roles?

FORT Contact: 
Helen Sofaer
Authors: 
Yoon, J., Sofaer, H. R., Sillett, T. S., Morrison, S. A. and Ghalambor, C. K.
Related Staff: 
Helen Sofaer
Publication Date: 
2017
Parent Publication Title: 
Journal of Avian Biology
Publication Type: 
Archive number: 
States: 

Pub Abstract: 

Comparative studies of populations occupying different environments can provide insights into the ecological conditions affecting differences in parental strategies, including the relative contributions of males and females. Male and female parental strategies reflect the interplay between ecological conditions, the contributions of the social mate, and the needs of offspring. Climate is expected to underlie geographic variation in incubation and brooding behavior, and can thereby affect both the absolute and relative contributions of each sex to other aspects of parental care such as offspring provisioning. However, geographic variation in brooding behavior has received much less attention than variation in incubation attentiveness or provisioning rates. We compared parental behavior during the nestling period in populations of orange-crowned warblers Oreothlypis celata near the northern (64°N) and southern (33°N) boundaries of the breeding range. In Alaska, we found that males were responsible for the majority of food delivery whereas the sexes contributed equally to provisioning in California. Higher male provisioning in Alaska appeared to facilitate a higher proportion of time females spent brooding the nestlings. Surprisingly, differences in brooding between populations could not be explained by variation in ambient temperature, which was similar between populations during the nestling period. While these results represent a single population contrast, they suggest additional hypotheses for the ecological correlates and evolutionary drivers of geographic variation in brooding behavior, and the factors that shape the contributions of each sex.

Publication Title: 

Drought resistance across California ecosystems: Evaluating changes in carbon dynamics using satellite imagery

FORT Contact: 
Timothy Assal
Authors: 
Malone, S. L., M. G. Tulbure, A. J. Pérez-Luque, T. J. Assal, L. L. Bremer, D. P. Drucker, V. Hillis, S. Varela, and M. L. Goulden.
Related Staff: 
Timothy Assal
Publication Date: 
2016
Parent Publication Title: 
Ecosphere
Publication Type: 
Archive number: 
States: 

Pub Abstract: 

Drought is a global issue that is exacerbated by climate change and increasing anthropogenic water demands. The recent occurrence of drought in California provides an important opportunity to examine drought response across ecosystem classes (forests, shrublands, grasslands, and wetlands), which is essential to understand how climate influences ecosystem structure and function. We quantified ecosystem resistance to drought by comparing changes in satellite-derived estimates of water-use efficiency (WUE = net primary productivity [NPP]/evapotranspiration [ET]) under normal (i.e., baseline) and drought conditions (ΔWUE = WUE2014 − baseline WUE). With this method, areas with increasing WUE under drought conditions are considered more resilient than systems with declining WUE. Baseline WUE varied across California (0.08 to 3.85 g C/mm H2O) and WUE generally increased under severe drought conditions in 2014. Strong correlations between ΔWUE, precipitation, and leaf area index (LAI) indicate that ecosystems with a lower average LAI (i.e., grasslands) also had greater C-uptake rates when water was limiting and higher rates of carbon-uptake efficiency (CUE = NPP/LAI) under drought conditions. We also found that systems with a baseline WUE ≤ 0.4 exhibited a decline in WUE under drought conditions, suggesting that a baseline WUE ≤ 0.4 might be indicative of low drought resistance. Drought severity, precipitation, and WUE were identified as important drivers of shifts in ecosystem classes over the study period. These findings have important implications for understanding climate change effects on primary productivity and C sequestration across ecosystems and how this may influence ecosystem resistance in the future.

Publication Title: 

Ecology and control of an introduced population of Southern Watersnakes (<i>Nerodia fasciata</i>) in southern California

FORT Contact: 
Bob Reed
Authors: 
Robert Reed, Brian D Todd, Oliver J. Miano, Mark Canfield, Robert N. Fisher, and Louanne McMartin
Related Staff: 
Bob Reed
Publication Date: 
2016
Parent Publication Title: 
Herpetologica
Publication Type: 
Archive number: 
States: 
Topics: 

Pub Abstract: 

Native to the southeastern United States, Southern Watersnakes (Nerodia fasciata) are known from two sites in California, but their ecological impacts are poorly understood. We investigated the ecology of Southern Watersnakes in Machado Lake, Harbor City, Los Angeles County, California, including an assessment of control opportunities. We captured 306 watersnakes as a result of aquatic trapping and hand captures. We captured snakes of all sizes (162–1063 mm snout–vent length [SVL], 3.5–873.3 g), demonstrating the existence of a well-established population. The smallest reproductive female was 490 mm SVL and females contained 12–46 postovulatory embryos (mean  =  21). Small watersnakes largely consumed introduced Western Mosquitofish (Gambusia affinis), while larger snakes specialized on larval and metamorph American Bullfrogs (Lithobates catesbeianus) and Green Sunfish (Lepomis cyanellus). Overall capture per unit effort (CPUE) in traps declined with time during an intensive 76-d trapping bout, but CPUE trends varied considerably among traplines and it is unlikely that the overall decline in CPUE represented a major decrease in the snake population size. Although we found no direct evidence that Southern Watersnakes are affecting native species in Machado Lake, this population may serve as a source for intentional or unintentional transportation of watersnakes to bodies of water containing imperiled native prey species or potential competitors.

Examining Drought Sensitivity Across California Ecosystems

Dr. Tim Assal of the Fort Collins Science Center recently co-authored an article in the journal Ecosphere examining the differences in drought sensitivity across California ecosystems. Ecosystem resistance to the recent, severe drought was found to be lower in higher productivity systems compared to arid regions that are adapted to limited water resources. The authors derived a key metric, water use efficiency, from MODIS satellite data as an alternative to single point flux tower measurements that enables analysis of ecosystem function at broad spatial and temporal scales.

Developing a USGS Legacy Data Inventory to Preserve and Release Historical USGS Data

Code: 
EJ10EWN.45
Abstract: 

Legacy data (n) - Information stored in an old or obsolete format or computer system that is, therefore, difficult to access or process. (Business Dictionary, 2016)

For over 135 years, the U.S. Geological Survey has collected diverse information about the natural world and how it interacts with society. Much of this legacy information is one-of-a-kind and in danger of being lost forever through decay of materials, obsolete technology, or staff changes. Several laws and orders require federal agencies to preserve and provide the public access to federally collected scientific information. The information is to be archived in a manner that allows others to examine the materials for new information or interpretations. Data-at-Risk is a systematic way for the USGS to continue efforts to meet the challenge of preserving and making accessible enormous amount of information locked away in inaccessible formats. Data-at-Risk efforts inventory and prioritize inaccessible information and assist with the preservation and release of the information into the public domain. Much of the information the USGS collects has permanent or long-term value to the Nation and the world through its contributions to furthering scientific discovery, public policies, or decisions. These information collections represent observations and events that will never be repeated and warrant preservation for future generations to learn and benefit from them.

Goal: Expand the USGS contribution to scientific discovery and knowledge by demonstrating a long-term approach to inventorying, prioritizing and releasing to the public the wealth of USGS legacy scientific data.

Objectives:

  1. Implement a systematic workflow to create a USGS Legacy Data Inventory that catalogs and describes known USGS legacy data sets.
  2. Develop a methodology to evaluate and prioritize USGS legacy data sets based on USGS mission and program objectives and potential of successful release within USGS records management and open data policies.
  3. Preserve and release select, priority legacy data sets through the USGS IPDS data release workflow
  4. Analyze the time and resources required to preserve/release legacy data and develop estimates to inform future legacy data inventory efforts.

Scope

As one of the largest and oldest earth science organizations in the world, the scientific legacy of the USGS is its data, to include, but not limited to images, video, audio files, physical samples, etc., and the scientific knowledge derived from them, gathered over 130 years of research. However, it is widely understood that high-quality data collected and analyzed as part of now completed projects are hidden away in case files, file cabinets and hard drives housed in USGS facilities. Therefore, despite their potential significance to current USGS mission and program research objectives, these “legacy data” are unavailable. In addition, legacy data are by definition at risk of permanent loss or damage because they pre-date current, open-data policies, standards and formats. Risks to legacy data can be technical, such as obsolescence of the data’s storage media and format, or they can be organizational, such as a lack of funding or facility storage. Conveniently, addressing legacy data risks such as these generally results in the science data becoming useable by modern data tools, as well as accessible to the broader scientific community.

Building on past USGS legacy data inventory and preservation projects

USGS has long history of proactively researching and developing solutions to data management needs, including legacy data inventory and preservation. For example, in 1994 USGS was instrumental in establishing the FGDC-CSDGM metadata standard for geospatial scientific data that is still part of the foundation of USGS data management. Today, USGS is a lead agency in establishing meaningful and actionable policies that facilitate data release to the greater, public scientific community. In recent years, CDI has invested in several legacy data inventory and preservation projects, including the “Legacy Data Inventory” project (aka, “Data Mine” 2013-present), which examined the time, resources and workflows needed for science centers to inventory legacy data. Another CDI project, the “North American Bat Data Recovery and Integration” project (2014-present), is preserving previously unavailable bat banding data (1932-1972) and white-nose syndrome disease data and making them available via APIs. Both of these CDI projects were forward-thinking legacy data initiatives, several years ahead of Federal open data policies and mandates.

However, one of the most comprehensive, Bureau-level legacy data preservation efforts was the   USGS Data Rescue project, which provided funding, tools, and support to USGS scientists to preserve legacy data sets at imminent risk of permanent loss or damage. A small sample of USGS science data rescued over those eight fiscal years included:

  • Inventoried, catalogued, indexed, and preserved Famine Early Warning one-of-a-kind, hardcopy maps.
  • Landsat orphan scenes, totaling over 146,000 were retrieved and processed, allowing the land research community to access previously unavailable satellite records.
  • Through a partnership with the Alaska State Division of Geological and Geophysical Surveys, the Alaska Water Science Center scanned, added metadata to, and included in a database volcano imagery dating from the 1950s to 2004.
  • 20,000 original, historical stream flow measurements from Kentucky dating from the early 1900s to the late 1980s were scanned and entered into NWIS.
  • Central Mineral and Environmental Resources Science Center geochemical data conversion totaling approximately 250,000 primary documents from paper to electronic format were completed.
  • California Water Science Center migrated paper well schedules and other groundwater records dating back more than 100 years old. The records define historical climate variability, geologic conditions where natural hazards occur, and the extents of freshwater resources.

Over 100 projects were supported in the 8 years the Data Rescue project was in operation (2006-2013), while an additional 300 projects went unfunded, providing a glimpse of the potential trove of USGS legacy data at risk of damage or loss. The urgency of and strategies for preserving USGS legacy data have been discussed at length at the 2014 CSAS&L Data Management Workshop and the 2015 CDI Workshop, further emphasizing a Bureau-wide recognition of the importance of legacy data preservation and release. During the 2015 CDI Workshop, legacy data preservation was rated a top-rated FY16 priority by the Data Management Working Group, laying the groundwork for this proposal, which intends to apply the legacy data inventory and evaluation methods developed through the CDI Legacy Data Inventory project to formalize and extend the inventory successfully started through the Data Rescue Program. By creating a formal method to submit, document and evaluate legacy data known to be in need of preservation, USGS would have a tool that USGS scientists, science centers, and mission areas can use to identify significant historical legacy data that can inform, new, data-intensive scientific efforts.

Challenges and improvements for USGS legacy data preservation and release

Based on our experiences managing and preserving USGS legacy data, we have seen two challenges that often undermine legacy data preservation and release:

  1. The most scientifically significant legacy data aren’t always the most recoverable: Legacy data by definition are “dated” because there is some length of time that has passed since the data were collected, the project completed and recovery efforts begin. The longer the time that’s passed, the more likely project staff aren’t available and supporting project and data documents are lost. Lacking this knowledge and/or documentation, metadata may not be completed, resulting in preserved data that aren’t useable - a critical element of the USGS data release peer review and approval process. If data is not useable, it is more difficult to release. Critically evaluating legacy data for their “release potential,” not just their scientific significance, increases the likelihood of selecting legacy data that will be successfully released.
  2. Research scientists may not have data science skills/expertise/resources: Traditionally, legacy data efforts provide funding directly to the data owner, who is generally a principal investigator and knows the data intimately, but may lack the data science experience, time and tools to preserve and release data in an open format with complete, compliant metadata. In our experience, this can lead to delays in preserving and releasing legacy data. Data scientists can/should not replace data owners, but they can provide a significant level of assistance to data owners, by applying their data and metadata development experience and tools.

We believe that each of challenges have good solutions that can improve the efficiency and predictability of preservation and release efforts:

  1. Make “potential for successful release” a primary evaluation factor in prioritizing and selecting legacy data for preservation and release. By developing a method of estimating the feasibility and cost of preserving and releasing data and incorporating it into the evaluation and priority criteria, we can better select and prioritize data sets.
  2. Provide funding to a USGS data scientist to collaborate with data owners and ensure preservation and releases are consistently produced and of the highest quality.

Technical Approach

Each objective of this proposal will be addressed in a sequence of 3 phases:

  1. Legacy Data Inventory Submission Period
  2. Evaluation and prioritization of the Legacy Data Inventory; selection of data sets for preservation and release.
  3. Preservation and release of selected datasets.

Phase I: Identification and inventory of USGS data at risk

Data owners will document their legacy data sets electronically, providing the primary project and data set metadata elements needed to score, evaluate and prioritize the legacy data inventory. The core of these metadata elements will be derived from the established “USGS Metadata 20 Questions” form, which has proven effective at gathering metadata from research scientists with little/no data science experience. Narrative fields will be used for evaluating need. Categorical fields will be used to calculate feasibility scores used to determine level of effort required to successfully rescue the proposed data.

Phase II: Evaluation and prioritization of the USGS data at risk requests

The CDI Data Management Working Group’s Data at Risk sub-group will facilitate the evaluation and prioritization of the legacy data inventory. Mission Areas will be engaged to verify inventory submissions are supported programmatically and meet mission objectives.  The USGS Records Management Program, Enterprise Publishing Program, and Sciencebase will be consulted to verify submitted legacy data inventory submissions can be released within Bureau records management and data release policies. Once these checkpoints have been verified the Data at Risk sub-group and data scientist will score and prioritize the legacy data inventory based on the following criteria:

  • Scientific value/significance to USGS mission area and program objectives.
  • Potential of successfully preserving and releasing the data by the data scientist.
  • Severity/Imminence of loss or damage to data based on identified risk factors.

Phase III: Preservation and Release of Select, Priority Legacy Data

Working in order of priority as set in Phase II, the data scientist(s) will collaborate with the data owner and work with them to complete the process of  preserving and releasing their legacy data. Through this data owner/scientist collaboration, the data scientist will create and validate the FGDC-CSDGM metadata and develop the data set in an open-format as documented in the metadata. By process, the data scientist will act as an agent of the data owner, coordinating and completing all steps in each workflow until the the IPDS record approved and disseminated by the Bureau and the Sciencebase data release item(s) are approved, locked and made public by the Sciencebase team. However, while the data scientist is responsible for ensuring all preservation and release tasks are completed consistently and within policies and best practices, the data owner retains all approval of final metadata attribution (e.g., title, authorship), as well as disposition of their legacy data (e.g., pre/post processing methods; derivative data architectures).

At the completion of Phase III, each legacy data release will have the following created by the data scientist:

  • complete, compliant FGDC-CSDGM metadata
  • legacy data set(s) in an open-format, publicly discoverable and available from Sciencebase.
  • a USGS highlight submitted through the SW Region to Reston.
  • a CDI update describing the data set(s) released and a summary of time and resources required to complete the release.
Publication Title: 

Community for Data Integration 2016 Annual Report

FORT Contact: 
Lance Everette
Authors: 
Langseth, M.L., Hsu, Leslie, Amberg, Jon, Bliss, Norman, Bock, A.R., Bolus, R.T., Bristol, R.S., Chase, K.J., Crimmins, T.M., Earle, P.S., Erickson, Richard, Everette, A.L., Falgout, Jeff, Faundeen, J.L., Fienen, Michael, Griffin, Rusty, Guy, M.R., Henry, K.D., Hoebelheinrich, N.J., Hunt, Randall, Hutchison, V.B., Ignizio, D.A., Infante, D.M., Jarnevich, Catherine, Jones, J.M., Kern, Tim, Leibowitz, Scott, Lightsom, F.L., Marsh, R.L., McCalla, S.G., McNiff, Marcia, Morisette, J.T., Nelson, J.C., Norkin, Tamar, Preston, T.M., Rosemartin, Alyssa, Sando, Roy, Sherba, J.T., Signell, R.P., Sleeter, B.M., Sundquist, E.T., Talbert, C.B., Viger, R.J., Weltzin, J.F., Waltman, Sharon, Weber, Marc, Wieferich, D.J., Williams, Brad, Windham-Myers, Lisamarie
Related Staff: 
Lance Everette
Drew Ignizio
Catherine Jarnevich
Tim Kern
Jeff Morisette
Colin Talbert
Publication Date: 
2017
Parent Publication Title: 
Publication Type: 
Archive number: 
Topics: 

Pub Abstract: 

The Community for Data Integration (CDI) represents a dynamic community of practice focused on advancing science data and information management and integration capabilities across the U.S. Geological Survey and the CDI community. This annual report describes the various presentations, activities, and outcomes of the CDI monthly forums, working groups, virtual training series, and other CDI-sponsored events in fiscal year 2016. The report also describes the objectives and accomplishments of the 13 CDI-funded projects in fiscal year 2016.

Publication Title: 

The relationship between female brooding and male nestling provisioning: does climate underlie geographic variation in sex roles?

FORT Contact: 
Helen Sofaer
Authors: 
Yoon, J., Sofaer, H.R., Sillett, T.S., Morrison, S.A. and Ghalambor, C.K.
Related Staff: 
Helen Sofaer
Publication Date: 
2016
Parent Publication Title: 
Journal of Avian Biololgy
Publication Type: 
Archive number: 

Pub Abstract: 

Comparative studies of populations occupying different environments can provide insights into the ecological conditions affecting differences in parental strategies, including the relative contributions of males and females. Male and female parental strategies reflect the interplay between ecological conditions, the contributions of the social mate, and the needs of offspring. Climate is expected to underlie geographic variation in incubation and brooding behavior, and can thereby affect both the absolute and relative contributions of each sex to other aspects of parental care such as offspring provisioning. However, geographic variation in brooding behavior has received much less attention than variation in incubation attentiveness or provisioning rates. We compared parental behavior during the nestling period in populations of orange-crowned warblers Oreothlypis celata near the northern (64°N) and southern (33°N) boundaries of the breeding range. In Alaska, we found that males were responsible for the majority of food delivery whereas the sexes contributed equally to provisioning in California. Higher male provisioning in Alaska appeared to facilitate a higher proportion of time females spent brooding the nestlings. Surprisingly, differences in brooding between populations could not be explained by variation in ambient temperature, which was similar between populations during the nestling period. While these results represent a single population contrast, they suggest additional hypotheses for the ecological correlates and evolutionary drivers of geographic variation in brooding behavior, and the factors that shape the contributions of each sex.

Publication Title: 

A Multiscale Index of Landscape Intactness for the Western United States

FORT Contact: 
Natasha Carr
Authors: 
Carr, N.B., I.I.F. Leinwand, and D.J.A. Wood
Related Staff: 
Natasha Carr
Ian Leinwand
Publication Date: 
2016
Parent Publication Title: 
Publication Type: 
Archive number: 

Pub Abstract: 

Landscape intactness has been defined as a quantifiable estimate of naturalness measured on a gradient of anthropogenic influence. We developed a multiscale index of landscape intactness for the Bureau of Land Management’s (BLM) landscape approach, which requires multiple scales of information to quantify the cumulative effects of land use. The multiscale index of landscape intactness represents a gradient of anthropogenic influence as represented by development levels at two analysis scales.

To create the index, we first mapped the surface disturbance footprint of development, for the western U.S., by compiling and combining spatial data for urban development, agriculture, energy and minerals, and transportation for 17 states. All linear features and points were buffered to create a surface disturbance footprint. Buffered footprints and polygonal data were rasterized at 15-meter (m), aggregated to 30-m, and then combined with the existing 30-meter inputs for urban development and cultivated croplands. The footprint area was represented as a proportion of the cell and was summed using a raster calculator. To reduce processing time, the 30-m disturbance footprint was aggregated to 90-m. The 90-m resolution surface disturbance footprint is retained as a separate raster data sets in this data release (Surface Disturbance Footprint from Development for the Western United States). We used a circular moving window to create a terrestrial development index for two scales of analysis, 2.5-kilometer (km) and 20-km, by calculating the percent of the surface disturbance footprint at each scale. The terrestrial development index at both the 2.5-km (Terrestrial Development Index for the Western United States: 2.5-km moving window) and 20-km (Terrestrial Development Index for the Western United States: 20-km moving window) were retained as separate raster data sets in this data release. The terrestrial development indexes at two analysis scales were ranked and combined to create the multiscale index of landscape intactness (retained as Landscape Intactness Index for the Western United States) in this data release. To identify intact areas, we focused on terrestrial development index scores less than or equal to 3 percent, which represented relatively low levels of development on multiple-use lands managed by the BLM and other land management agencies.

The multiscale index of landscape intactness was designed to be flexible, transparent, defensible, and applicable across multiple spatial scales, ecological boundaries, and jurisdictions. To foster transparency and facilitate interpretation, the multiscale index of landscape intactness data release retains four component data sets to enable users to interpret the multiscale index of landscape intactness: the surface disturbance footprint, the terrestrial development index summarized at two scales (2.5-km and 20-km circular moving windows), and the overall landscape intactness index. The multiscale index is a proposed core indicator to quantify landscape integrity for the BLM Assessment, Inventory, and Monitoring program and is intended to be used in conjunction with additional regional- or local-level information not available at national levels (such as invasive species occurrence) necessary to evaluate ecological integrity for the BLM landscape approach.

Publication Title: 

Environment, host, and fungal traits predict continental-scale white-nose syndrome in bats

FORT Contact: 
Paul Cryan
Authors: 
Hayman, David T. S., Juliet R.C. Pulliam, Jonathan C. Marshall, Paul M. Cryan and Colleen T. Webb
Related Staff: 
Paul Cryan
Publication Date: 
2016
Parent Publication Title: 
Science Advances
Publication Type: 
Archive number: 
States: 

Pub Abstract: 

White-nose syndrome is a fungal disease killing bats in eastern North America, but disease is not seen in European bats and is less severe in some North American species. We show that how bats use energy during hibernation and fungal growth rates under different environmental conditions can explain how some bats are able to survive winter with infection and others are not. Our study shows how simple but nonlinear interactions between fungal growth and bat energetics result in decreased survival times at more humid hibernation sites; however, differences between species such as body size and metabolic rates determine the impact of fungal infection on bat survival, allowing European bat species to survive, whereas North American species can experience dramatic decline.

Publication Title: 

Improve wildlife species tracking—Implementing an enhanced global positioning system data management system for California condors

FORT Contact: 
Bob Waltermire
Authors: 
Waltermire, Robert G., Christopher U. Emmerich, Laura C. Mendenhall, Gil Bohrer, Rolf P. Weinzierl, Andrew J. McGann, Pat K. Lineback, Tim J. Kern, and David C. Douglas
Related Staff: 
Bob Waltermire
Chris Emmerich
Tim Kern
Publication Date: 
2016
Parent Publication Title: 
Open-File Report
Publication Type: 
Archive number: 
States: 

Pub Abstract: 

U.S. Fish and Wildlife Service (USFWS) staff in the Pacific Southwest Region and at the Hopper Mountain National Wildlife Refuge Complex requested technical assistance to improve their global positioning system (GPS) data acquisition, management, and archive in support of the California Condor Recovery Program. The USFWS deployed and maintained GPS units on individual Gymnogyps californianus (California condor) in support of long-term research and daily operational monitoring and management of California condors. The U.S. Geological Survey (USGS) obtained funding through the Science Support Program to provide coordination among project participants, provide GPS Global System for Mobile Communication (GSM) transmitters for testing, and compare GSM/GPS with existing Argos satellite GPS technology. The USFWS staff worked with private companies to design, develop, and fit condors with GSM/GPS transmitters. The Movebank organization, an online database of animal tracking data, coordinated with each of these companies to automatically stream their GPS data into Movebank servers and coordinated with USFWS to improve Movebank software for managing transmitter data, including proofing/error checking of incoming GPS data. The USGS arranged to pull raw GPS data from Movebank into the USGS California Condor Management and Analysis Portal (CCMAP) (https://my.usgs.gov/ccmap) for production and dissemination of a daily map of condor movements including various automated alerts. Further, the USGS developed an automatic archiving system for pulling raw and proofed Movebank data into USGS ScienceBase to comply with the Federal Information Security Management Act of 2002. This improved data management system requires minimal manual intervention resulting in more efficient data flow from GPS data capture to archive status. As a result of the project’s success, Pinnacles National Park and the Ventana Wildlife Society California condor programs became partners and adopted the same workflow, tracking, and data archive system. This GPS tracking data management model and workflow should be applicable and beneficial to other wildlife tracking programs.

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