scholarly journals Methods for wildlife monitoring in tropical forests: Comparing human observations, camera traps, and passive acoustic sensors

2021 ◽  
Author(s):  
Joeri A. Zwerts ◽  
P. J. Stephenson ◽  
Fiona Maisels ◽  
Marcus Rowcliffe ◽  
Christos Astaras ◽  
...  
Keyword(s):  
Tropical Forests ◽  
Camera Traps ◽  
Wildlife Monitoring ◽  
Acoustic Sensors ◽  
Passive Acoustic

Activity pattern of Atlantic Forest small arboreal mammals as revealed by camera traps

2008 ◽  
Vol 24 (05) ◽  
pp. 563-567 ◽  
Author(s):  
Luiz Gustavo R. Oliveira-Santos ◽  
Marcos A. Tortato ◽  
Maurício E. Graipel
Keyword(s):  
Tropical Forests ◽  
Atlantic Forest ◽  
Small Mammals ◽  
Activity Pattern ◽  
Forest Floor ◽  
Three Dimensional ◽  
Great Majority ◽  
Camera Traps ◽  
Food Items

Even though the great majority of the biomass and diversity of mammals in tropical forests inhabit the canopy (Eisenberg & Thorington 1973), most knowledge of this group is based on forest-floor samples (Lowman & Moffett 1993). Studies that include trapping efforts in the canopy are becoming increasingly common (Grelle 2003, Lambertet al. 2005, Malcolm 1995, Pattonet al. 2000, Vieira & Monteiro-Filho 2003, Vosset al. 2001), but aspects on the ecology of arboreal small mammals still remain poorly understood. Many species of non-flying mammals co-occur in the canopy and, thus, are expected to use niche dimensions differently to permit coexistence (Cameronet al. 1979). Despite the difficulties of access to and in understanding the three-dimensional use of the arboreal strata by the different species (Emmons 1995), some studies have demonstrated that the differential use of the habitat (Cunha & Vieira 2002, Gentile & Fernandez 1999), of food items (Cácereset al. 2002, Santoriet al. 1995) or both (Leiteet al. 1996, Mauffrey & Catzeflis 2003), include strategies involved in the division of resources.

scholarly journals Estimating cetacean population density using fixed passive acoustic sensors: An example with Blainville’s beaked whales

2009 ◽  
Vol 125 (4) ◽  
pp. 1982-1994 ◽  
Author(s):  
Tiago A. Marques ◽  
Len Thomas ◽  
Jessica Ward ◽  
Nancy DiMarzio ◽  
Peter L. Tyack
Keyword(s):  
Population Density ◽  
Acoustic Sensors ◽  
Beaked Whales ◽  
Passive Acoustic

Tracking of small vessels with passive acoustic sensors

2011 ◽  
Vol 130 (4) ◽  
pp. 2450-2450 ◽  
Author(s):  
Helen H. Ou ◽  
Pasang Sherpa ◽  
Lisa M. Zurk
Keyword(s):  
Acoustic Sensors ◽  
Small Vessels ◽  
Passive Acoustic

scholarly journals Listening and watching: Do camera traps or acoustic sensors more efficiently detect wild chimpanzees in an open habitat?

2020 ◽  
Vol 11 (4) ◽  
pp. 542-552 ◽  
Author(s):  
Anne‐Sophie Crunchant ◽  
David Borchers ◽  
Hjalmar Kühl ◽  
Alex Piel
Keyword(s):  
Camera Traps ◽  
Acoustic Sensors ◽  
Open Habitat

Acoustic sensors

2021 ◽  
pp. 53-78
Author(s):  
Anne-Sophie Crunchant ◽  
Chanakya Dev Nakka ◽  
Jason T. Isaacs ◽  
Alex K. Piel
Keyword(s):  
Species Conservation ◽  
Acoustic Monitoring ◽  
Conservation Strategies ◽  
Acoustic Sensors ◽  
Passive Acoustic Monitoring ◽  
Acoustic Data ◽  
Habitat Integrity ◽  
Technological Advances ◽  
Acoustic Space ◽  
Passive Acoustic

Animals share acoustic space to communicate vocally. The employment of passive acoustic monitoring to establish a better understanding of acoustic communities has emerged as an important tool in assessing overall diversity and habitat integrity as well as informing species conservation strategies. This chapter aims to review how traditional and more emerging bioacoustic techniques can address conservation issues. Acoustic data can be used to estimate species occupancy, population abundance, and animal density. More broadly, biodiversity can be assessed via acoustic diversity indices, using the number of acoustically conspicuous species. Finally, changes to the local soundscape provide an early warning of habitat disturbance, including habitat loss and fragmentation. Like other emerging technologies, passive acoustic monitoring (PAM) benefits from an interdisciplinary collaboration between biologists, engineers, and bioinformaticians to develop detection algorithms for specific species that reduce time-consuming manual data mining. The chapter also describes different methods to process, visualize, and analyse acoustic data, from open source to commercial software. The technological advances in bioacoustics turning heavy, non-portable, and expensive hardware and labour and time-intensive methods for analysis into new small, movable, affordable, and automated systems, make acoustic sensors increasingly popular among conservation biologists for all taxa.

Algorithms for Crowd Surveillance Using Passive Acoustic Sensors Over a Multimodal Sensor Network

2015 ◽  
Vol 15 (3) ◽  
pp. 1920-1930 ◽  
Author(s):  
Rohit Agarwal ◽  
Sudhir Kumar ◽  
Rajesh M. Hegde
Keyword(s):  
Sensor Network ◽  
Acoustic Sensors ◽  
Passive Acoustic ◽  
Crowd Surveillance

scholarly journals Visitor Counting and Monitoring in Forests Using Camera Traps: A Case Study from Bavaria (Southern Germany)

Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 736
Author(s):  
Gerd Lupp ◽  
Valerie Kantelberg ◽  
Bernhard Förster ◽  
Carolina Honert ◽  
Johannes Naumann ◽  
...  
Keyword(s):  
National Parks ◽  
Camera Traps ◽  
Wildlife Monitoring ◽  
Urban Green Spaces ◽  
Visitor Management ◽  
Recreation Areas ◽  
Outdoor Environments ◽  
Visitor Numbers ◽  
Correlation Factors

A variety of counting methods exist to analyze visitor numbers of outdoor settings such as national parks, recreation areas and urban green spaces, with sensor-based approaches being the most frequently applied. In this paper, we describe the application and practicality of camera traps originally designed for wildlife monitoring for visitor management purposes. The focus of the work is on the practicality of trigger camera traps and data collection for visitor monitoring from a more practice- and management-oriented perspective. Camera traps can provide interesting in-depth and detailed information about recreationists and are flexible and suitable for various uses; however, assessing the visual data manually requires significant staff and working time. To deal with the large amounts of data gathered for numbers of passersby and recreation activities, correlation factors between passersby and pictures were determined, so that the number of passersby related to the number of pictures taken per day or per other time unit could be established. In focusing on using the camera traps and assessing the generated data, it became clear that more studies have to be conducted to compare different methods of visitor monitoring and their accuracy in different outdoor environments.

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