Article
Ecology
Ismael V. Brack, Andreas Kindel, Luiz Flamarion B. de Oliveira, Jose J. Lahoz-Monfort
Summary: Hierarchical N-mixture models are suggested for abundance estimation from drone-based count surveys. It is important to understand how these models perform in different contexts and species. This knowledge is fundamental for planning study designs in ecology and conservation.
METHODS IN ECOLOGY AND EVOLUTION
(2023)
Editorial Material
Ecology
Jeffrey L. Laake, Bret A. Collier
Summary: This paper discusses the issue of negative bias in mark-recapture abundance estimators caused by heterogeneity in detection probability. It demonstrates how heterogeneity leads to dependence and bias in mark-recapture approaches, and proposes a method of reducing bias by introducing a known number of individuals. The study also compares the impact of heterogeneity on distance sampling and mark-resight methods.
JOURNAL OF WILDLIFE MANAGEMENT
(2023)
Article
Biodiversity Conservation
Brooke A. Biddlecombe, Steven H. Ferguson, Mads Peter Heide-Jorgensen, Darren M. Gillis, Cortney A. Watt
Summary: Using genetic mark recapture analyses, the total abundance of the Eastern Canada-West Greenland bowhead whale population was estimated to be 5173 individuals from 2012 to 2021. This suggests that the population may be plateauing well below the pre-commercial whaling carrying capacity estimate. The population estimate is important for updating conservation efforts.
GLOBAL ECOLOGY AND CONSERVATION
(2023)
Article
Environmental Sciences
Guido J. Parra, Kerstin Bilgmann, Katharina J. Peters, Luciana M. Moller
Summary: Wildlife species conservation management should be based on understanding their distribution, abundance, and the impact of human activities. Common dolphins in Australia are at risk of incidental capture in commercial fisheries, with uncertain population estimates. Aerial surveys and mark-recapture methods were used to estimate the abundance of common dolphins in central South Australia in 2011, where bycatch mortality is highest. Precautionary management is recommended to protect common dolphins based on local abundance estimates.
FRONTIERS IN MARINE SCIENCE
(2021)
Article
Ecology
Sebastian Wacker, Hans J. Skaug, Torbjorn Forseth, Oyvind Solem, Eva M. Ulvan, Peder Fiske, Sten Karlsson
Summary: Genetic methods, particularly Close-Kin Mark-Recapture (CKMR), can be effective alternatives in estimating population sizes. The study focused on evaluating CKMR for estimating spawner abundance in Atlantic salmon, revealing the impact of age, sex, spatial, and temporal sampling bias on estimates. Results showed that CKMR estimates were robust to bias after correction, offering a moderate sampling effort solution for estimating spawner abundance in Atlantic salmon populations.
ECOLOGY AND EVOLUTION
(2021)
Article
Environmental Sciences
Camille Ollier, Ilona Sinn, Oliver Boisseau, Vincent Ridoux, Auriane Virgili
Summary: Estimating the detection probability of small cetaceans, this study focuses on using the Mark-Recapture Distance Sampling (MRDS) methodology to estimate visual, acoustic, and combined detection probability. The results show that passive acoustic monitoring can be used as an independent platform in MRDS to estimate the detection probability. Without correcting for detection biases, total abundance would be underestimated by a factor of two.
FRONTIERS IN MARINE SCIENCE
(2023)
Article
Multidisciplinary Sciences
Nathan J. Crum, Lisa C. Neyman, Timothy A. Gowan
Summary: The spatial capture-recapture model outperforms distance sampling in abundance estimation and is more robust to model specification. When using spatial capture-recapture for abundance estimation, researchers should consider factors such as identifiable individuals, multiple occasions of line transect surveys, imperfect detection of individuals on transects, and the assumption of closed demography of the population of interest.
Article
Ecology
Ian Durbach, David Borchers, Chris Sutherland, Koustubh Sharma
Summary: SCR methods estimate animal density using detector locations and spatial capture histories. Recent research shows that precision can be approximated based on the expected number of detected individuals and recapture events. Optimizing detector placement can increase the number of detected individuals and recaptures, but may not always lead to more precise density estimations.
METHODS IN ECOLOGY AND EVOLUTION
(2021)
Review
Entomology
Emma L. Briggs, Christopher Baranski, Olivia Munzer Schaetz, Gabriela Garrison, Jaime A. Collazo, Elsa Youngsteadt
Summary: Wild bees play a crucial role in various ecosystems, but some species are experiencing population decline. The current methods used to assess the population of wild bees have limitations and uncertainties. This study reviews mark-recapture methods and presents a case study comparing them to traditional sampling methods in a wild bee community. The results show that mark-recapture methods are correlated with abundance estimates, providing a feasible way to monitor selected species and evaluate other sampling methods.
Article
Ecology
Colin J. Torney, Megan Laxton, David J. Lloyd-Jones, Edward M. Kohi, Howard L. Frederick, David C. Moyer, Chediel Mrisha, Machoke Mwita, J. Grant C. Hopcraft
Summary: Statistical models are used to infer the abundance and distribution of species, but the spatial distribution of animals is influenced by many factors. Simplifying assumptions in modeling can result in poor performance and inaccurate predictions. This study explores the impact of spatial complexity on modeling the abundance of the Serengeti wildebeest and introduces a multi-latent framework to capture the clustered distribution. Results show that simplifying assumptions can impair performance, but accurate predictions can be made by using mixtures of spatial models.
METHODS IN ECOLOGY AND EVOLUTION
(2023)
Article
Marine & Freshwater Biology
Helder Araujo, Pedro Correia-Rodrigues, Jorge Bastos-Santos, Marisa Ferreira, Andreia T. Pereira, Jose Martinez-Cedeira, Jose Vingada, Catarina Eira
Summary: Western Iberian waters serve as important habitats for migratory seabird species. Aerial surveys conducted from 2010 to 2015 revealed the composition, distribution, and abundance of various seabird species in the area. The Northern Gannet was found to be the most abundant species.
MARINE ORNITHOLOGY
(2022)
Article
Biodiversity Conservation
Jacob D. Hennig, Kathryn A. Schoenecker
Summary: Estimating the population size of feral burros in the western United States is challenging due to their cryptic appearance and rugged habitat. This study compared different survey methods and found that aerial infrared surveys using distance sampling can produce accurate estimates of the population size.
WILDLIFE SOCIETY BULLETIN
(2023)
Article
Multidisciplinary Sciences
Douglas B. Sigourney, Annamaria Deangelis, Danielle Cholewiak, Debra Palka
Summary: Visual line transect (VLT) surveys and passive acoustic monitoring (PAM) are important methods for monitoring and studying marine mammals. This study presents a framework to combine these data streams to estimate abundance and derive an estimate of availability bias. Three methods were evaluated and the results showed that the CMR-DS method was the least biased and most precise.
Article
Entomology
Brandon M. Quinby, J. Curtis Creighton, Elizabeth A. Flaherty
Summary: Successful conservation and management of protected wildlife populations rely on reliable population abundance data. Photographic mark-recapture (PMR) provides a cost-effective and minimally invasive method to study population dynamics in species with distinct markings. The study tested the feasibility and application of PMR using Hotspotter software to identify Nicrophorus spp. based on elytral spot patterns, demonstrating its utility in estimating population abundance.
ENVIRONMENTAL ENTOMOLOGY
(2021)
Article
Ecology
Antoine M. Dujon, Daniel Ierodiaconou, Johanna J. Geeson, John P. Y. Arnould, Blake M. Allan, Kostas A. Katselidis, Gail Schofield
Summary: Machine learning algorithms are increasingly used to process wildlife imagery data from UAVs, but the efficiency can be enhanced by developing suitable algorithms for monitoring multiple species. A low-cost computer was used here to train a convolutional neural network for distinguishing marine organisms and delineating sea turtle trajectories. The algorithm performed best when detecting individuals of similar body length, displaying consistent behavior, or occupying uniform habitat. Accuracy was impacted by factors such as morphology, behavior, spacing, and habitat complexity for different species.
REMOTE SENSING IN ECOLOGY AND CONSERVATION
(2021)
Article
Ecology
Matthew J. Clement, Joy M. O'Keefe, Brianne Walters
Article
Ornithology
Katie M. Dugger, Eric D. Forsman, Alan B. Franklin, Raymond J. Davis, Gary C. White, Carl J. Schwarz, Kenneth P. Burnham, James D. Nichols, James E. Hines, Charles B. Yackulic, Paul F. Doherty, Larissa Bailey, Darren A. Clark, Steven H. Ackers, Lawrence S. Andrews, Benjamin Augustine, Brian L. Biswell, Jennifer Blakesley, Peter C. Carlson, Matthew J. Clement, Lowell V. Diller, Elizabeth M. Glenn, Adam Green, Scott A. Gremel, Dale R. Herter, J. Mark Higley, Jeremy Hobson, Rob B. Horn, Kathryn P. Huyvaert, Christopher McCafferty, Trent McDonald, Kevin McDonnell, Gail S. Olson, Janice A. Reid, Jeremy Rockweit, Viviana Ruiz, Jessica Saenz, Stan G. Sovern
Article
Biodiversity Conservation
Matthew J. Clement, James E. Hines, James D. Nichols, Keith L. Pardieck, David J. Ziolkowski
GLOBAL CHANGE BIOLOGY
(2016)
Article
Ecology
Matthew J. Clement
METHODS IN ECOLOGY AND EVOLUTION
(2016)
Article
Zoology
Julie Meka Carter, Matthew J. Clement, Andy S. Makinster, Clayton D. Crowder, Brian T. Hickerson
Article
Biodiversity Conservation
Matthew J. Clement, Thomas J. Rodhouse, Patricia C. Ormsbee, Joseph M. Szewczak, James D. Nichols
JOURNAL OF APPLIED ECOLOGY
(2014)
Article
Ecology
Matthew J. Clement, Kevin L. Murray, Donald I. Solick, Jeffrey C. Gruver
ECOLOGY AND EVOLUTION
(2014)
Article
Ecology
Matthew J. Clement, James D. Nichols, Jaime A. Collazo, Adam J. Terando, James E. Hines, Steven G. Williams
ECOLOGY AND EVOLUTION
(2019)
Article
Biodiversity Conservation
Kirby D. Bristow, Matthew J. Clement, Michelle L. Crabb, Larisa E. Harding, Esther S. Rubin
WILDLIFE SOCIETY BULLETIN
(2019)
Article
Forestry
Matthew J. Clement, Larisa E. Harding, Richard W. Lucas, Esther S. Rubin
FOREST ECOLOGY AND MANAGEMENT
(2019)
Article
Veterinary Sciences
Anne Justice-Allen, Matthew J. Clement
JOURNAL OF WILDLIFE DISEASES
(2019)
Article
Fisheries
Anthony T. Robinson, Yvette M. Paroz, Matthew J. Clement, Thomas W. Franklin, Joseph C. Dysthe, Michael K. Young, Kevin S. McKelvey, Kellie J. Carim
NORTH AMERICAN JOURNAL OF FISHERIES MANAGEMENT
(2019)
Article
Ecology
April L. Howard, Matthew J. Clement, Frances R. Peck, Esther S. Rubin
JOURNAL OF WILDLIFE MANAGEMENT
(2020)
Article
Entomology
D. A. Crossley, Matthew J. Clement
JOURNAL OF ENTOMOLOGICAL SCIENCE
(2015)