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.
Walter N. Heady, Kevin O'Connor, Jennifer Kassakian , Kate Doiron, Charles Endris, Daniel Hudgens, Ross P. Clark , Jena Carter , Mary G. Gleason
Estuaries are some of the most productive ecosystems on the planet. This inventory classifies more than 600 coastal confluences on the West Coast of the United States. Each estuary was classified…Brent B. Hughes, Matthew D. Levey, Jennifer A. Brown, Monique C. Fountain, Aaron B. Carlisle, Steven Y. Litvin, Correigh M. Greene, Walter N. Heady, Mary G. Gleason
Estuaries support significant biodiversity and important ecosystem functions such as providing rearing habitat for juvenile fish and invertebrates. This report synthesizes the scientific…Matt Miller, Dick Cameron
H.B. Ernest, T.W. Vickers, S.A. Morrison, M.R. Buchalski, W.M. Boyce
Highly fragmented landscapes can pose myriad threats to wide-ranging species like mountain lions. Coastal southern California has long been the focus of research into demographics, genetics, and…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…Jennifer K. Carah, Christopher C. Blencowe, David W. Wright
Coho salmon in California are critically imperiled so there is strong impetus to achieve as much habitat restoration as possible in priority watersheds quickly and with limited resources. This paper…Beltran, R.S., N. Kreidler, D.H. Van Vuren, S.A. Morrison, E.S. Zavaleta, K. Newton, B.R. Tershy, D.A. Croll
Introduced predators and herbivores can have dramatic ecological effects on island ecosystems; their eradication can produce similarly profound ecological responses. This paper analyzes data from…Eric Hallstein, Matt Miller
Cameron DR, Marty J, Holland RF
This study assesses the amount of rangeland conversion between 1984 and 2008 in California. The researchers analyzed data from the California Farmland Mapping and Monitoring Program to see where…Rick, T.C, T.S. Sillett, C.K. Ghalambor, C.A. Hofman, K. Ralls, R.S. Anderson, C.L. Boser, T.J. Braje, D.R. Cayan, R.T. Chesser, P.W. Collins, J.M. Erlandson, K.R. Faulkner, R. Fleischer, W.C. Funk, R. Galipeau, A. Huston, J. King, L. Laughrin, J. Maldonado, K. McEachern, D.R. Muhs, S.D. Newsome, L. Reeder-Myers, C. Still, S.A. Morrison
Understanding the deep history of places and resources, and the interplay between natural and cultural histories, can be critical to science-based conservation management. This paper explores the case…B. C. Mclaughlin, C. N. Morozumi, J. MacKenzie, A. Cole, S. Gennet
Anticipating how species will move as the climate changes is a fundamental concern in 21st century conservation. This study modeled potential responses of blue oak (Quercus douglasii), an…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…H.R. Sofaer, T.S. Sillett, K.M. Langin, S.A. Morrison, C.K. Ghalambor
The density of birds in their breeding areas can affect reproductive success in myriad ways – and it is often difficult to distinguish which factors are more influential. For example, areas that…