scholarly journals Black kites of different age and sex show similar avoidance responses to wind turbines during migration

2021 ◽  
Vol 8 (1) ◽  
pp. 201933
Author(s):  
Carlos David Santos ◽  
Rafael Ferraz ◽  
Antonio-Román Muñoz ◽  
Alejandro Onrubia ◽  
Martin Wikelski
Keyword(s):  
Population Decline ◽  
Collision Risk ◽  
Utilization Distribution ◽  
Age Bias ◽  
Milvus Migrans ◽  
Data Loggers ◽  
Clear Peak ◽  
Soaring Birds ◽  
Gps Data Loggers ◽  
Turn Direction

Populations of soaring birds are often impacted by wind-power generation. Sex and age bias in turbine collisions can exacerbate these impacts through demographic changes that can lead to population decline or collapse. While several studies have reported sex and age differences in the number of soaring birds killed by turbines, it remains unclear if they result from different abundances or group-specific turbine avoidance behaviours, the latter having severer consequences. We investigated sex and age effects on turbine avoidance behaviour of black kites ( Milvus migrans ) during migration near the Strait of Gibraltar. We tracked the movements of 135 individuals with GPS data loggers in an area with high density of turbines and then modelled the effect of proximity of turbines on bird utilization distribution (UD). Both sexes and age classes showed similar patterns of displacement, with reduced UD values in the proximity of turbines and a clear peak at 700–850 m away, probably marking the distance at which most birds turn direction to avoid approaching the turbines further. The consistency of these patterns indicates that displacement range can be used as an accurate proxy for collision risk and habitat loss, and should be incorporated in environmental impact assessment studies.

scholarly journals Usefulness of commercially available GPS data-loggers for tracking human movement and exposure to dengue virus

2009 ◽  
Vol 8 (1) ◽  
pp. 68 ◽  
Author(s):  
Gonzalo M Vazquez-Prokopec ◽  
Steven T Stoddard ◽  
Valerie Paz-Soldan ◽  
Amy C Morrison ◽  
John P Elder ◽  
...  
Keyword(s):  
Dengue Virus ◽  
Human Movement ◽  
Gps Data ◽  
Data Loggers ◽  
Gps Data Loggers

scholarly journals Relationship between small-scale catch-per-unit-effort and abundance in New Zealand abalone (pāua, Haliotis iris) fisheries

2015 ◽  
Author(s):  
Edward R Abraham ◽  
Philipp Neubauer
Keyword(s):  
Spatial Scale ◽  
Spatial Information ◽  
Spatial Scales ◽  
Small Scale ◽  
Gps Data ◽  
Catch Per Unit Effort ◽  
Small Spatial Scale ◽  
Unit Effort ◽  
Data Loggers ◽  
Gps Data Loggers

Catch-per-unit-effort (CPUE) is commonly used as an index of abundance in fishery stock assessments, but CPUE may be misleading, as a number of global fishery collapses have been attributed to a hyper-stable CPUE. In abalone (Halitidae family) fisheries, CPUE at large spatial scales may be hyper-stable because of aggregating behaviour and serial-depletion, whereby fishers sequentially fish areas with no corresponding decline in CPUE. Obtaining detailed spatial information in abalone fisheries might mitigate this problem, allowing CPUE to be used more confidently in these fisheries. Here, we report on the use of newly-developed high-resolution Global Positioning System (GPS) data loggers in New Zealand's blacklip abalone (pāua, Haliotis iris) fisheries. Using these data loggers, we tested, via a fish-down experiment, if CPUE is a reliable indicator of abundance at a small spatial scale and over a period of months. In the experiment, hyper-stability at small spatial scales occurred at high abundance, but CPUE reflected the estimated depletion level at the end of experimental fishing. This experiment suggests that the GPS data loggers provide a promising avenue to track CPUE at a small spatial scale, and to assess spatial resource use in New Zealand's pāua fisheries.

scholarly journals “Seeing” or “Being Seen”: Research on the Sight Line Design in the Lion Grove Based on Visitor Temporal–Spatial Distribution and Space Syntax

2019 ◽  
Vol 11 (16) ◽  
pp. 4348 ◽  
Author(s):  
Tiantian Zhang ◽  
Weicheng Hua ◽  
Yannan Xu
Keyword(s):  
Spatial Distribution ◽  
Spatial Data ◽  
Visual Control ◽  
Average Speed ◽  
Data Loggers ◽  
One Step ◽  
Gps Data Loggers ◽  
Large Water ◽  
Visual Characteristic ◽  
Line Design

Research on the sight line design of the Classical Chinese Garden (CCG) is an important issue of CCGs’ sustainable development. Taking the Lion Grove as a case, GPS data loggers and questionnaires were employed to collect visitor temporal–spatial data and visiting motivations. We then calculated the “Revisiting Proportion” and “Average Speed” values. Furthermore, we selected the “Visual Control” values analyzed by Depthmap as an indicator of visibility. The statistical analysis of the relationship among “Revisiting Proportion”, “Average Speed”, and “Visual Control” values of each space showed that the spatial visual characteristic affected the visitor temporal–spatial distribution. Scenery spots in and around the large water pool, within one-step visual depth of each other, occupying the visual advantage of both “seeing” and “being seen”, can facilitate the transformation of sight lines and form the visual effect of “one step, one scene”. This research also proved that the sight line design of the Lion Grove was more intentional than random.

scholarly journals Visual analytics of sensor movement data for cheetah behaviour analysis

2021 ◽  
Author(s):  
Karsten Klein ◽  
Sabrina Jaeger ◽  
Jörg Melzheimer ◽  
Bettina Wachter ◽  
Heribert Hofer ◽  
...  
Keyword(s):  
Visual Analytics ◽  
Visual Analysis ◽  
Automated Analysis ◽  
Environmental Data ◽  
Impact Factors ◽  
Data Sets ◽  
Movement Data ◽  
Data Loggers ◽  
Intuitive Interfaces ◽  
Gps Data Loggers

Abstract Current tracking technology such as GPS data loggers allows biologists to remotely collect large amounts of movement data for a large variety of species. Extending, and often replacing interpretation based on observation, the analysis of the collected data supports research on animal behaviour, on impact factors such as climate change and human intervention on the globe, as well as on conservation programs. However, this analysis is difficult, due to the nature of the research questions and the complexity of the data sets. It requires both automated analysis, for example, for the detection of behavioural patterns, and human inspection, for example, for interpretation, inclusion of previous knowledge, and for conclusions on future actions and decision making. For this analysis and inspection, the movement data needs to be put into the context of environmental data, which helps to interpret the behaviour. Thus, a major challenge is to design and develop methods and intuitive interfaces that integrate the data for analysis by biologists. We present a concept and implementation for the visual analysis of cheetah movement data in a web-based fashion that allows usage both in the field and in office environments. Graphic abstract

scholarly journals The Eye in the Sky: Combined Use of Unmanned Aerial Systems and GPS Data Loggers for Ecological Research and Conservation of Small Birds

PLoS ONE ◽  
2012 ◽  
Vol 7 (12) ◽  
pp. e50336 ◽  
Author(s):  
Airam Rodríguez ◽  
Juan J. Negro ◽  
Mara Mulero ◽  
Carlos Rodríguez ◽  
Jesús Hernández-Pliego ◽  
...  
Keyword(s):  
Unmanned Aerial Systems ◽  
Gps Data ◽  
Ecological Research ◽  
Data Loggers ◽  
Combined Use ◽  
Gps Data Loggers ◽  
Aerial Systems
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