Long-term spatial and temporal patterns of sea turtle strandings in southern Brazil

2016 ◽  
Vol 163 (12) ◽  
Author(s):  
Danielle S. Monteiro ◽  
Sérgio C. Estima ◽  
Tiago B. R. Gandra ◽  
Andrine P. Silva ◽  
Leandro Bugoni ◽  
...  
2021 ◽  
Author(s):  
Mark Wenig ◽  
Sheng Ye ◽  
Ying Zhu ◽  
Hanlin Zhang

<p>The problem of elevated NO<sub>2</sub> levels in cities has gained some attention in the public in recent years and has given rise to questions about the plausibility of banning diesel engines in cities, the meaning of exceedances of air quality limits and the effects of corona lock-downs on air quality to name a few. Urban air quality is typically monitored using a relatively small number of monitoring stations. Those in-situ measurements follow certain guidelines in terms of inlet height and location relative to streets, but the question remains how a limited number of point measurements can capture the spatial variability in cities. In this talk we present two measurement campaigns in Hong Kong and Munich where we utilized a combination of mobile in-situ and stationary remote sensing differential optical absorption spectroscopy (DOAS) instruments. We developed an algorithm to separate spatial and temporal patterns in order to generate pollution maps that represent average NO<sub>2</sub> exposure. </p> <p>We use those maps to identify pollution hot spots and capture the weekly cycles of on-road NO2 levels and spatial dependency of long-term changes and we analyze how on-road measurements compare to monitoring station data and how the measurement height and distance to traffic emissions have to be considered when interpreting observed concentration patterns.</p>


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Brendan M. Dunphy ◽  
Kristofer B. Kovach ◽  
Ella J. Gehrke ◽  
Eleanor N. Field ◽  
Wayne A. Rowley ◽  
...  

2006 ◽  
Vol 57 (1) ◽  
pp. 61 ◽  
Author(s):  
Jonathan C. Marshall ◽  
Fran Sheldon ◽  
Martin Thoms ◽  
Satish Choy

Waterholes within the dryland Cooper Creek, Lake Eyre Basin, Australia, are connected only during floods and are typically isolated for long periods. Spatial changes in the macroinvertebrate assemblages of 15 of these waterholes belonging to four regions were explored and these changes were related to environmental aspects of the waterholes measured at four spatial scales: floodplain, waterhole, within waterhole and sample habitat. To explore temporal patterns, one region was sampled on four occasions differing in time since connection. Spatial patterns were characterised by ‘differentiation by distance’ whereby samples collected closer to each other in the landscape were more similar in assemblage composition than those collected further apart. Thus, there were significant differences between the assemblages of the four regions. Although there was a correlation between macroinvertebrate spatial patterns and a combination of local habitat, geomorphology and water chemistry attributes, it appears unlikely that these variables were responsible for the faunal differentiation by distance. Temporal variability was larger than spatial variability and temporal assemblage patterns were best explained by the ‘connectivity potential’ of waterholes, reflecting the position of individual waterholes within the broader channel network and long-term connectivity relationships, rather than the actual time since hydrological connection.


Estuaries ◽  
1987 ◽  
Vol 10 (3) ◽  
pp. 227 ◽  
Author(s):  
A. F. Holland ◽  
Anna T. Shaughnessy ◽  
Martha H. Hiegel

Hydrobiologia ◽  
2019 ◽  
Vol 846 (1) ◽  
pp. 159-179
Author(s):  
Camille A. Flinders ◽  
Renee L. Ragsdale ◽  
Joan Ikoma ◽  
William J. Arthurs ◽  
Jess Kidd

2008 ◽  
Vol 65 (11) ◽  
pp. 2461-2470 ◽  
Author(s):  
Beth Gardner ◽  
Patrick J. Sullivan ◽  
Stephen J. Morreale ◽  
Sheryan P. Epperly

Loggerhead ( Caretta caretta ) and leatherback ( Dermochelys coriacea ) sea turtle distributions and movements in offshore waters of the western North Atlantic are not well understood despite continued efforts to monitor, survey, and observe them. Loggerhead and leatherback sea turtles are listed as endangered by the World Conservation Union, and thus anthropogenic mortality of these species, including fishing, is of elevated interest. This study quantifies spatial and temporal patterns of sea turtle bycatch distributions to identify potential processes influencing their locations. A Ripley’s K function analysis was employed on the NOAA Fisheries Atlantic Pelagic Longline Observer Program data to determine spatial, temporal, and spatio-temporal patterns of sea turtle bycatch distributions within the pattern of the pelagic fishery distribution. Results indicate that loggerhead and leatherback sea turtle catch distributions change seasonally, with patterns of spatial clustering appearing from July through October. The results from the space–time analysis indicate that sea turtle catch distributions are related on a relatively fine scale (30–200 km and 1–5 days). The use of spatial and temporal point pattern analysis, particularly K function analysis, is a novel way to examine bycatch data and can be used to inform fishing practices such that fishing could still occur while minimizing sea turtle bycatch.


Waterbirds ◽  
2005 ◽  
Vol 28 (3) ◽  
pp. 261-272 ◽  
Author(s):  
Demétrio Luis Guadagnin ◽  
Ângela Schmitz Peter ◽  
Luis Fernando Carvalho Perello ◽  
Leonardo Maltchik

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