Camera trapping in ecology: A new section for wildlife research

small- scale auteco-logical studies and large- scale syntheses. This journal's philosophy is to help authors have their work read and used by the scientific community— we believe this Section will help with that goal. Ecology and Evolution 's first volume featured its first camera-trapping study (Fisher et al., 2011), a paper desk- rejected from several other journals as being “interesting but improbable” among other traditional fare. The Editorial team gave it a chance, and over 100 citations later, it continues to stimulate scientific debate (Stuber & Fontaine, 2019 ). Since then, we have published 100 s of camera-trap studies. We are eagerly anticipating many more camera- trap papers in this dedicated Section, as Ecology and Evolution plans to be at the forefront of the great proliferation of camera- trapping research, and continue to serve as a platform for scientific thought and debate.

[1]  M. Lavariega,et al.  Spatiotemporal co-occurrence of predators and prey in a neotropical mammal community in southern Mexico , 2022, Journal of Tropical Ecology.

[2]  Christopher T. Rota,et al.  Global camera trap synthesis highlights the importance of protected areas in maintaining mammal diversity , 2022, Conservation Letters.

[3]  J. Fisher,et al.  Multispecies modelling reveals potential for habitat restoration to re‐establish boreal vertebrate community dynamics , 2021, Journal of Applied Ecology.

[4]  C. Darimont,et al.  Decolonial Model of Environmental Management and Conservation: Insights from Indigenous-led Grizzly Bear Stewardship in the Great Bear Rainforest , 2021 .

[5]  Austin M. Green,et al.  Wealth and urbanization shape medium and large terrestrial mammal communities , 2021, Global change biology.

[6]  J. Fisher,et al.  Simultaneous monitoring of vegetation dynamics and wildlife activity with camera traps to assess habitat change , 2021, Remote Sensing in Ecology and Conservation.

[7]  Matthew Duggan,et al.  An approach to rapid processing of camera trap images with minimal human input , 2021, Ecology and evolution.

[8]  D. Preatoni,et al.  Camera Trapping to Assess Status and Composition of Mammal Communities in a Biodiversity Hotspot in Myanmar , 2021, Animals : an open access journal from MDPI.

[9]  J. Andrew Royle,et al.  Estimating and forecasting spatial population dynamics of apex predators using transnational genetic monitoring , 2020, Proceedings of the National Academy of Sciences.

[10]  Andrew Jason Shepley,et al.  Automated location invariant animal detection in camera trap images using publicly available data sources , 2020, Ecology and evolution.

[11]  J. Fisher,et al.  Community-level modelling of boreal forest mammal distribution in an oil sands landscape. , 2020, The Science of the total environment.

[12]  Ammie K. Kalan,et al.  A review of factors to consider when using camera traps to study animal behavior to inform wildlife ecology and conservation , 2020, Conservation Science and Practice.

[13]  D. Nimmo,et al.  Spot on: using camera traps to individually monitor one of the world’s largest lizards , 2020, Wildlife Research.

[14]  D. Paull,et al.  Camera-traps are a cost-effective method for surveying terrestrial squamates: A comparison with artificial refuges and pitfall traps , 2020, PloS one.

[15]  Saul Greenberg,et al.  Design patterns for wildlife‐related camera trap image analysis , 2019, Ecology and evolution.

[16]  S. Frolking,et al.  Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset , 2019, Scientific Data.

[17]  J. J. Fontaine,et al.  How characteristic is the species characteristic selection scale? , 2019, Global Ecology and Biogeography.

[18]  H. Hofer,et al.  Assessing analytical methods for detecting spatiotemporal interactions between species from camera trapping data , 2019, Remote Sensing in Ecology and Conservation.

[19]  Oliver R. Wearn,et al.  Camera‐trapping version 3.0: current constraints and future priorities for development , 2019, Remote Sensing in Ecology and Conservation.

[20]  Henrik Andrén,et al.  Framing pictures: A conceptual framework to identify and correct for biases in detection probability of camera traps enabling multi‐species comparison , 2019, Ecology and evolution.

[21]  R. Sollmann,et al.  A review of wildlife camera trapping trends across Africa , 2018, African Journal of Ecology.

[22]  Rajan Amin,et al.  Software to facilitate and streamline camera trap data management: A review , 2018, Ecology and evolution.

[23]  Michael Wood,et al.  A review of camera trapping for conservation behaviour research , 2017 .

[24]  J. Fisher,et al.  Investigating animal activity patterns and temporal niche partitioning using camera‐trap data: challenges and opportunities , 2017 .

[25]  Nathaniel P. Robinson,et al.  Assessing global patterns in mammalian carnivore occupancy and richness by integrating local camera trap surveys , 2017 .

[26]  M. Kelly,et al.  Using camera traps to examine distribution and occupancy trends of ground-dwelling rainforest birds in north-eastern Madagascar , 2017 .

[27]  J. Andrew Royle,et al.  Scaling-up camera traps: monitoring the planet's biodiversity with networks of remote sensors , 2017 .

[28]  John D. J. Clare,et al.  Do the antipredator strategies of shared prey mediate intraguild predation and mesopredator suppression? , 2016, Ecology and evolution.

[29]  W. Mark Ford,et al.  Monitoring landscape‐level distribution and migration Phenology of Raptors using a volunteer camera‐trap network , 2015 .

[30]  Erin M. Bayne,et al.  REVIEW: Wildlife camera trapping: a review and recommendations for linking surveys to ecological processes , 2015 .

[31]  M. Tobler,et al.  Spatiotemporal hierarchical modelling of species richness and occupancy using camera trap data , 2015 .

[32]  R. Kays,et al.  Quantifying levels of animal activity using camera trap data , 2014 .

[33]  J. Fisher,et al.  Body mass explains characteristic scales of habitat selection in terrestrial mammals , 2011, Ecology and evolution.

[34]  J. Ahumada,et al.  Community structure and diversity of tropical forest mammals: data from a global camera trap network , 2011, Philosophical Transactions of the Royal Society B: Biological Sciences.

[35]  J Andrew Royle,et al.  Spatially explicit inference for open populations: estimating demographic parameters from camera-trap studies. , 2010, Ecology.

[36]  J. Fisher,et al.  Indigenous-led camera-trap research on traditional territories informs conservation decisions for resource extraction , 2021, FACETS.

[37]  Tavis D. Forrester,et al.  Volunteer-run cameras as distributed sensors for macrosystem mammal research , 2015, Landscape Ecology.

[38]  A. F. O'connell,et al.  Camera traps in animal ecology : methods and analyses , 2011 .

[39]  R. Barrett,et al.  A History of Camera Trapping , 2011 .

[40]  A. F. O'connell,et al.  Camera Traps in Animal Ecology , 2011 .

[41]  J. Gilbert*,et al.  Indigenous Rights in the Making: The United Nations Declaration on the Rights of Indigenous Peoples , 2007 .