Instantaneous vs. non-instantaneous diver-operated stereo-video (DOV) surveys of highly mobile sharks in the Galápagos Marine Reserve

2020 ◽  
Vol 649 ◽  
pp. 111-123
Author(s):  
ANH Smith ◽  
D Acuña-Marrero ◽  
PS Salinas-de_León ◽  
ES Harvey ◽  
MDM Pawley ◽  
...  

Effective management of wild populations of animals relies on having accurate methods for estimating their densities from field surveys. Surveying sharks and other highly mobile marine predators is particularly difficult, requiring specialised methods that can entail a range of potential biases. Recent simulation studies have suggested that non-instantaneous visual and video survey methods may overestimate densities of highly mobile fishes. A non-instantaneous method is one where each point in space is surveyed for a non-negligible period of time, rather than in an instantaneous ‘snapshot’, allowing animals to move into the survey space during the survey period. We conducted instantaneous and non-instantaneous surveys of sharks (Sphyrna lewini and Carcharhinus galapagensis) around Darwin and Wolf Islands (Galápagos Islands, Ecuador) using diver-operated stereo-video (stereo-DOV) systems with towed GPS. We provide the first empirical evidence of non-instantaneous bias and show that the degree of bias is negatively related to diver swimming speed. At a speed of 40 m min-1, the non-instantaneous method recorded twice as many sharks as the instantaneous method. The bias may be as high as 10 fold at slow speeds (23 m min-1) and negligible at very fast speeds (65 m min-1). Moreover, we used GPS data to produce fine-scale distribution maps, revealing high densities in areas of strong currents along the south-eastern sides of both islands. We recommend the use of stereo-DOV systems with GPS and fast swimming speeds for surveying highly mobile sharks, to produce more realistic estimates of densities on which to base management of these species.

2020 ◽  
Vol 243 ◽  
pp. 106629
Author(s):  
Etienne Rastoin-Laplane ◽  
Jordan Goetze ◽  
Euan S. Harvey ◽  
David Acuña-Marrero ◽  
Pierre Fernique ◽  
...  

2021 ◽  
Vol 193 (2) ◽  
Author(s):  
Jens Oldeland ◽  
Rasmus Revermann ◽  
Jona Luther-Mosebach ◽  
Tillmann Buttschardt ◽  
Jan R. K. Lehmann

AbstractPlant species that negatively affect their environment by encroachment require constant management and monitoring through field surveys. Drones have been suggested to support field surveyors allowing more accurate mapping with just-in-time aerial imagery. Furthermore, object-based image analysis tools could increase the accuracy of species maps. However, only few studies compare species distribution maps resulting from traditional field surveys and object-based image analysis using drone imagery. We acquired drone imagery for a saltmarsh area (18 ha) on the Hallig Nordstrandischmoor (Germany) with patches of Elymus athericus, a tall grass which encroaches higher parts of saltmarshes. A field survey was conducted afterwards using the drone orthoimagery as a baseline. We used object-based image analysis (OBIA) to segment CIR imagery into polygons which were classified into eight land cover classes. Finally, we compared polygons of the field-based and OBIA-based maps visually and for location, area, and overlap before and after post-processing. OBIA-based classification yielded good results (kappa = 0.937) and agreed in general with the field-based maps (field = 6.29 ha, drone = 6.22 ha with E. athericus dominance). Post-processing revealed 0.31 ha of misclassified polygons, which were often related to water runnels or shadows, leaving 5.91 ha of E. athericus cover. Overlap of both polygon maps was only 70% resulting from many small patches identified where E. athericus was absent. In sum, drones can greatly support field surveys in monitoring of plant species by allowing for accurate species maps and just-in-time captured very-high-resolution imagery.


PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7278 ◽  
Author(s):  
Juan Carlos Murillo-Posada ◽  
Silvia Salas ◽  
Iván Velázquez-Abunader

Management of low-mobility or benthic fisheries is a difficult task because variation in the spatial distribution and population dynamics of the resources make the monitoring and assessment of these fisheries challenging. We assumed that environmental, spatial, and temporal factors can contribute to the variability of the relative abundance of such species; we used Generalized Additive Models for Location Scale and Shape (GAMLSS) to test this hypothesis using as a case study the lobster fishery (targeting two species) in the Galapagos Marine Reserve, Ecuador. We gathered data on each of the two species of lobster on a monthly basis over seven years, including: (a) onboard observers’ records of catch data, fishing effort, and ground location by trip, and (b) data from interviews undertaken with fishers at their arrival to port, recording the same type of information as obtained from onboard observers. We use this information to analyze the effect of the measured variables and to standardize the Catch per Unit Effort (CPUE) in each case, using the GAMLSS. For both species, the temperature, region, fishing schedule, month, distance, and the monitoring system were significant variables of the selected models associated with the variability of the catch rate. ForPanulirus penicillatus, CPUE was higher at night than during the day, and forPanulirus gracilisit was higher during the day. Increased temperature resulted in a decrease of CPUE values. It was evident that temporal, spatial scales and monitoring system can influence the variability of this indicator. We contend that the identification of drivers of change of relative abundance in low-mobility species can help to support the development of monitoring and assessment programs for this type of fisheries.


2013 ◽  
Vol 80 ◽  
pp. 29-35 ◽  
Author(s):  
Judith Denkinger ◽  
Macarena Parra ◽  
Juan Pablo Muñoz ◽  
Constanza Carrasco ◽  
Juan Carlos Murillo ◽  
...  

2013 ◽  
Vol 3 (5) ◽  
pp. 242-260
Author(s):  
Mbeiza Mutekanga Norah

This paper presents a study of the diversity and distribution of the Genus Eulophia, of the family Orchidaceae, in Uganda. Eulophia comprises varied patterned and coloured flowers; is being hybridized and has a high potential in the horticulture industry. Using data from available databases in Makerere University Institute of Environment and Natural Resources ‐ MUIENR (2000), Royal Botanical Gardens, Kew and Leapendemics 1995 and from the herbarium collections, together with information from the field surveys of selected wetlands, a checklist, and distribution map were developed. This allowed for mapping of species distribution ranges and identification of areas of high Eulophia species diversity. The distribution maps of this genus are expected to open new avenues of botanical research, and also to make informed decisions on maintenance, restoration or re‐ introductions in the future. The results show that there are thirty (30) species of Eulophia in Uganda. Their latitude and longitudinal ranges, altitude and habitats where they thrive are presented. Ground truthing for their presence was done with the major focus being in wetlands. From the field surveys, eight species were recorded. The paper concludes by highlighting that despite the rampant alterations in the habitats where Eulophia grows, some still are existent though their numbers are small in each patch. This is a major challenge to continued survival and sustainable management of this species.


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