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Filter Total Items: 171122

Microfaunal recording of recent environmental changes in the Herschel Basin, western Arctic Ocean

Microfaunal assemblages of benthic foraminifera, ostracods, and tintinnids from two marine sediment cores retrieved from the Herschel Basin of the Canadian Beaufort Sea shelf document relationships with environmental parameters such as salinity, sea-ice cover, and turbulence. Cores YC18-HB-GC01 and PG2303-1 were collected at 18 and 32 m water depth, respectively. At these sites, sediment accumulat
Authors
Jade Falardeau, Anne de Vernal, Marit-Solveig Seidenkrantz, Thomas M. Cronin, Laura Gemery, Léo Chassiot, Michael Fritz, Vladislav Carnero-Bravo, Claude Hillaire-Marcel, Philippe Archambault

Invaders at the doorstep: Using species distribution modeling to enhance invasive plant watch lists

Watch lists of invasive species that threaten a particular land management unit are useful tools because they can draw attention to invasive species at the very early stages of invasion when early detection and rapid response efforts are often most successful. However, watch lists typically rely on the subjective selection of invasive species by experts or on the use of spotty occurrence records.
Authors
Catherine S. Jarnevich, Peder Engelstad, Jillian LaRoe, Brandon Hays, Terri Hogan, Jeremy Jirak, Ian Pearse, Janet S. Prevéy, Jennifer Sieraki, Annie Simpson, Jess Wenick, Nicholas Young, Helen Sofaer

Trends in tree cover change over three decades related to interannual climate variability and wildfire in California

The U.S. State of California has experienced frequent drought events, hotter temperatures and other disruptions to the climate system whose effects on ecosystems have been widely reported in recent decades. Studies primarily confined to specific vegetation communities or species, individual drought incidents, or analysis over a relatively short intervals, has limited our understanding of the broad
Authors
Francis K Dwomoh, Roger F. Auch, Jesslyn F. Brown, Heather J. Tollerud

Climate change hotspots and implications for the global subsea telecommunications network

A global network of subsea telecommunications cables underpins our daily lives, enabling >95% of global digital data transfer, $trillions/day in financial trading, and providing critical communications links, particularly to remote, low-income countries. Despite their importance, subsea cables and their landing stations are vulnerable to damage by natural hazards, including storm surges, waves, cy
Authors
M.A. Clare, I.A. Yeo, L. Bricheno, Y Askenov, J. Browning, I.D. Haigh, T. Wahl, J. A. Hunter, C. Sams, Jason Chaytor, B.J. Bett, L. Carter

A model of transmissivity and hydraulic conductivity from electrical resistivity distribution derived from airborne electromagnetic surveys of the Mississippi River Valley Alluvial Aquifer, Midwest USA

Groundwater-flow models require the spatial distribution of the hydraulic conductivity parameter. One approach to defining this spatial distribution in groundwater-flow model grids is to map the electrical resistivity distribution by airborne electromagnetic (AEM) survey and establish a petrophysical relation between mean resistivity calculated as a nonlinear function of the resistivity layering a
Authors
Scott Ikard, Burke J. Minsley, James R. Rigby, Wade Kress

Plant community predictions support the potential for big sagebrush range expansion adjacent to the leading edge

Big sagebrush ecosystems are widespread across drylands of western North America and provide numerous services, but the abundance of these ecosystems has declined substantially and the future of these ecosystems is uncertain. As a result, characterizing potential areas for expansion of these ecosystems is important. Species distribution models of the big sagebrush suggest areas of increasing clima
Authors
T. Martyn, K. Palmquist, John B. Bradford, Daniel Rodolphe Schlaepfer, W.K. Lauenroth

Identifying building locations in the wildland–urban interface before and after fires with convolutional neural networks

Background: Wildland–urban interface (WUI) maps identify areas with wildfire risk, but they are often outdated owing to the lack of building data. Convolutional neural networks (CNNs) can extract building locations from remote sensing data, but their accuracy in WUI areas is unknown. Additionally, CNNs are computationally intensive and technically complex, making them challenging for end-users, su
Authors
Neda K. Kasraee, Todd Hawbaker, Volker C. Radeloff

Addressing a potential weakness in indices of predation, herbivory, and parasitism

Quantification of predation, herbivory, and parasitism is critical to understanding the dynamics and trophic interactions of populations in an ecosystem. Such quantification can be challenging if the availability or consumption of the taxa are difficult to assess. Sometimes the consumption of a single prey, forage, or host is used as an overall index of the predation, herbivory, or parasitism for
Authors
Jean V. Adams

Drivers of survival of translocated tortoises

Translocation of animals, especially for threatened and endangered species, is a currently popular but very challenging activity. We translocated 158 adult Agassiz's desert tortoises (Gopherus agassizii), a threatened species, from the National Training Center, Fort Irwin, in the central Mojave Desert in California, USA, to 4 plots as part of a long-distance, hard-release, mitigation-driven transl
Authors
Jeremy S Mack, Kristin H. Berry

A field test of R package GPSeqClus: For establishing animal location clusters

The ability to track animals with Global Positioning System (GPS) collars opened an enormous potential for studying animal movements and behaviour in their natural environment. One such endeavour is to identify clusters of GPS locations as a way to estimate predator kill rate. Clapp et al. (2021) developed an R package (GPSeqClus) to assess a location dataset based on user-defined parameters to id
Authors
H. Dean Cluff, L. David Mech

Incorporating temperature into seepage loss estimates for a large unlined irrigation canal

Quantifying seepage losses from unlined irrigation canals is necessary to improve water use and conservation. The use of heat as a tracer is widely used in quantifying seepage rates across the sediment–water interface. In this study, field observations and two-dimensional numerical models were used to simulate seepage losses during the 2018 and 2019 irrigation season in the Truckee Canal system. N
Authors
Ramon C. Naranjo, David Smith, Evan J. Lindenbach

Comparison of traditional and geometric morphometrics using Lake Huron ciscoes of the Coregonus artedi complex

Here we determine how traditional morphometrics (TM) compares with geometric morphometrics (GM) in discriminating among morphologies of four forms of ciscoes of the Coregonus artedi complex collected from Lake Huron. One of the forms comprised two groups of the same deepwater cisco separated by capture depth, whereas the other three forms were shallow-water ciscoes. Our three groups of shallow-wat
Authors
Benjamin E Martin, Brian O'Malley, Randy E Eshenroder, Yu-Chun Kao, Chris Olds, Timothy P. O'Brien, Chris L. Davis