scholarly journals Tropical Ecology Assessment and Monitoring Network (TEAM Network)

2012 ◽  
Vol 4 ◽  
pp. 287-287 ◽  
Author(s):  
Eric Fegraus
Keyword(s):  
Monitoring Network ◽  
Tropical Ecology ◽  
Assessment And Monitoring

scholarly journals Detecting tropical wildlife declines through camera-trap monitoring: an evaluation of the Tropical Ecology Assessment and Monitoring protocol

Oryx ◽  
2018 ◽  
Vol 53 (1) ◽  
pp. 126-129 ◽  
Author(s):  
Lydia Beaudrot ◽  
Jorge Ahumada ◽  
Timothy G. O'Brien ◽  
Patrick A. Jansen
Keyword(s):  
Population Level ◽  
Common Species ◽  
Camera Trap ◽  
Tropical Species ◽  
Tropical Ecology ◽  
Occupancy Models ◽  
Monitoring Protocol ◽  
Species Of Conservation Concern ◽  
Assessment And Monitoring ◽  
Elusive Species

AbstractIdentifying optimal sampling designs for detecting population-level declines is critical for optimizing expenditures by research and monitoring programmes. The Tropical Ecology Assessment and Monitoring (TEAM) network is the most extensive tropical camera-trap monitoring programme, but the effectiveness of its sampling protocol has not been rigorously assessed. Here, we assess the power and sensitivity of the programme's camera-trap monitoring protocol for detecting occupancy changes in unmarked populations using the freely available application PowerSensor!. We found that the protocol is well suited to detect moderate (≥ 5%) population changes within 3–4 years for relatively common species that have medium to high detection probabilities (i.e. p > 0.2). The TEAM protocol cannot, however, detect typical changes in rare and evasive species, a category into which many tropical species and many species of conservation concern fall. Additional research is needed to build occupancy models for detecting change in rare and elusive species when individuals are unmarked.

Principles and Methods of Ecological Safety Management Through the Data of Air Monitoring Network Analysis

2019 ◽  
Vol 41 (4) ◽  
pp. 85-102 ◽  
Author(s):  
A.V. Iatsyshyn ◽  
◽  
Yu. G. Kutsan ◽  
V.O. Artemchuk ◽  
I.P. Kameneva ◽  
...  
Keyword(s):  
Network Analysis ◽  
Safety Management ◽  
Monitoring Network ◽  
Air Monitoring ◽  
Ecological Safety

Development of an IoT-based Noise Monitoring Network

2017 ◽  
Author(s):  
Aram Abdulqadir ◽  
Mohammed Shukur
Keyword(s):  
Monitoring Network

DEVELOPMENT OF INTEGRATED MONITORING NETWORK FOR MEASURING SALINITY OF SEA WATER

2018 ◽  
pp. 18-26
Author(s):  
Sima Ajdar qizi Askerova
Keyword(s):  
Surface Waters ◽  
Sea Water ◽  
Water Environment ◽  
Monitoring Network ◽  
Monitoring Networks ◽  
The Caspian Sea ◽  
Integrated Monitoring ◽  
Ecological Control ◽  
Different Depths ◽  
Optimal Construction

Monitoring of sea water condition is one of major requirements for carrying out the reliable ecological control of water environment. Monitoring networks contain such elements as sea buoys, beacons, etc. and are designated for measuringvarious hydrophysical parameters, including salinity of sea water. Development of specialized network and a separate buoy system for measuring thesea water salinity at different depths makes it possible to determine major regularities of processes of pollution and self-recovery of the sea waters. The article describes the scientific and methodological basics for development of this specialized network and questions of its optimal construction. It is well-known that at a depth of 30-45 m of the Caspian Sea salinity decreases and then at a depth of 45-60 m salinity is fully recovered. The mentioned changes of salinity at the relatively upper layer of sea waters is of special interest for studying the effect of ocean-going processes on the climate forming in the Caspian area. In terms of informativeness of measurements of surface waters salinity, the most informative is a layer ata 30-60 m depth, where inversion and recovery of salinity take place. It is shown that in most informative subrange of measurements, i. e. at a depth of 30-60 m optimization of regime of measurements complex should be carried out in order to increase the effectiveness of held researches. It is shown that at a depth of 35-50 m choice of the optimum regime of measurements makes it possible to obtain the maximum amount of information.

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