Technology is enabling conservation scientists to collect and analyze data with an efficiency unimagined just decades ago. Satellite and drone-based remote sensing allow rapid mapping and monitoring of environmental conditions; networked sensors such as camera traps and flow meters provide real-time data about the health and potential threats to important resources.
Data are fundamental to making science-based conservation decisions. By modernizing environmental data capture and analysis and streamlining the delivery of usable information to decision makers, we can unlock new opportunities for transformative change in resource management.
The Conservancy’s team of designers, engineers, and data scientists are continually applying new applications of technology to increase the pace and scale of conservation in California – and beyond.
Lawrence D. Ford, H. Scott Butterfield, Pete A. Van Hoorn, Kasey B. Allen, Ethan Inlander, Carrie Schloss, Falk Schuetzenmeister, Miriam Tsalyuk
The Nature Conservancy developed RDMapper, a web-based tool that uses satellite-based productivity estimates, rainfall records, and compliance history to identify easement properties at risk of being…
Serena Lomonico, Robert Jones, Torrey Johnson, Sarah Newkirk, Sarah Lummis, Kirk Klausmeyer, John Finger, Terry Sawyer, Richard James
Aquaculture is becoming an increasingly important global food source. With this growth comes urgent, unanswered questions about the interactions of aquaculture operations—both positive and…
Carolyn M. Malmstrom, H. Scott Butterfield, Laura Planck, Christopher W. Long, Valerie T. Eviner
Invasive weeds threaten the biodiversity and forage productivity of grasslands worldwide. However, management of these weeds is constrained by the practical difficulty of detecting small-scale…
Mark D. Reynolds, Brian L. Sullivan, Eric Hallstein, Sandra Matsumoto, Steve Kelling, Matthew Merrifield, Daniel Fink, Alison Johnston, Wesley M. Hochachka, Nicholas E. Bruns, Matthew E. Reiter, Sam Veloz, Catherine Hickey, Nathan Elliott, Leslie Martin, John W. Fitzpatrick, Paul Spraycar, Gregory H. Golet, Christopher McColl, Scott A. Morrison
What if instead of buying habitat, conservationists could rent it when and where nature needs it most? The Conservancy is using predictive models of shorebird movements, data from the citizen science…
The Nature Conservancy, Matt Merrifield
Nearly half of the world depends on seafood for their main source of protein. In the Western and Central Pacific, where 60% of the world’s tuna is caught, illegal, unreported, and unregulated…
The Nature Conservancy, Jono Wilson
California fisheries, like the red abalone fishery, are facing increasing environmental variation and uncertainty due to climate change, complicating the sustainable management of commercial and…
David C. Marvin, Lian Pin Koh, Antony J. Lynam, Serge Wich, Andrew B. Davies, Ramesh Krishnamurthy, Emma Stokes, Ruth Starkey, Gregory P. Asner
Integration of multiple technologies greatly increases the spatial and temporal scales over which ecological patterns and processes can be studied, and threats to protected ecosystems can be…
David C. Marvin, Gregory P. Asner
Policies that incentivize forest conservation by monetizing forest carbon ultimately depend on the accuracy of carbon stock estimates. Often, these estimates are based on field inventory sampling. In…
Christopher J. McColl, Katie Andrews, Mark Reynolds, Gregory H. Golet
In response to the decline of wetland habitats for migrating and wintering water birds in California, the Conservancy developed a program called BirdReturns that creates “pop-up”…
Johnston, A., D. Fink, M. D. Reynolds, W. M. Hochachka, B. L. Sullivan, N. E. Bruns, E. Hallstein, M. S. Merrifield, S. Matsumoto, S. Kelling
Global declines in migratory species in response to accelerating habitat destruction and climate change challenge the scope and scale of conservation efforts. The ability to pinpoint where and when…
Tim Bean, Bob Stafford, Scott Butterfield, Justin Brashares
This paper presents a multi-step approach to estimate the realized and potential distribution of the endangered giant kangaroo rat. The authors estimate the potential distribution by modeling…
Eric Hallstein, Matt Miller
H. Scott Butterfield, Miriam Tsalyuk, Carrie Schloss
The Nature Conservancy in California monitors residual dry matter (RDM) on approximately 300,000 acres of conservation lands. Researchers evaluated whether satellite remote sensing data could be used…
Tim Bean, Laura Prugh, Bob Stafford, Scott Butterfield, Mike Westphal, Justin Brashares
In this study, the authors developed a suite of species distribution models (SDMs) for the endangered giant kangaroo rat using the machine-learning method Maxent. They compared these models with three…
