Mannocci et al., 2017 - Google Patents
Extrapolating cetacean densities to quantitatively assess human impacts on populations in the high seasMannocci et al., 2017
View PDF- Document ID
- 18442995730774263
- Author
- Mannocci L
- Roberts J
- Miller D
- Halpin P
- Publication year
- Publication venue
- Conservation Biology
External Links
Snippet
As human activities expand beyond national jurisdictions to the high seas, there is an increasing need to consider anthropogenic impacts to species inhabiting these waters. The current scarcity of scientific observations of cetaceans in the high seas impedes the …
- 241000283153 Cetacea 0 title abstract description 50
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
- G06Q10/105—Human resources
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Mannocci et al. | Extrapolating cetacean densities to quantitatively assess human impacts on populations in the high seas | |
Becker et al. | Predicting cetacean abundance and distribution in a changing climate | |
Whoriskey et al. | Current and emerging statistical techniques for aquatic telemetry data: A guide to analysing spatially discrete animal detections | |
Becker et al. | Performance evaluation of cetacean species distribution models developed using generalized additive models and boosted regression trees | |
Hastie et al. | Harbour seals avoid tidal turbine noise: Implications for collision risk | |
Pérez‐Jorge et al. | Environmental drivers of large‐scale movements of baleen whales in the mid‐North Atlantic Ocean | |
Benson et al. | Large‐scale movements and high‐use areas of western Pacific leatherback turtles, Dermochelys coriacea | |
Rengstorf et al. | High‐resolution habitat suitability modelling can improve conservation of vulnerable marine ecosystems in the deep sea | |
Pace et al. | An integrated approach for cetacean knowledge and conservation in the central Mediterranean Sea using research and social media data sources | |
Fagundes et al. | Testing the efficiency of protected areas in the Amazon for conserving freshwater turtles | |
Liu et al. | Coastal ocean observing systems | |
Fiedler et al. | Prediction of large whale distributions: a comparison of presence–absence and presence-only modeling techniques | |
Therrien et al. | An avian terrestrial predator of the Arctic relies on the marine ecosystem during winter | |
Brun et al. | The predictive skill of species distribution models for plankton in a changing climate | |
Virgili et al. | Combining multiple visual surveys to model the habitat of deep‐diving cetaceans at the basin scale: Large‐scale modelling of deep‐diving cetacean habitats | |
Cañadas et al. | The challenge of habitat modelling for threatened low density species using heterogeneous data: The case of Cuvier’s beaked whales in the Mediterranean | |
Williamson et al. | Echolocation detections and digital video surveys provide reliable estimates of the relative density of harbour porpoises | |
Phillips et al. | Applying species distribution modelling to a data poor, pelagic fish complex: the ocean sunfishes | |
Wilson et al. | Identifying polar bear resource selection patterns to inform offshore development in a dynamic and changing Arctic | |
Smith et al. | Validation of presence‐only models for conservation planning and the application to whales in a multiple‐use marine park | |
Best et al. | Online cetacean habitat modeling system for the US east coast and Gulf of Mexico | |
Arso Civil et al. | Changing distribution of the east coast of Scotland bottlenose dolphin population and the challenges of area‐based management | |
Arcangeli et al. | Long‐term presence and habitat use of Cuvier's beaked whale (Ziphius cavirostris) in the Central Tyrrhenian Sea | |
Shabangu et al. | Modelling the effects of environmental conditions on the acoustic occurrence and behaviour of Antarctic blue whales | |
Oestreich et al. | Acoustic signature reveals blue whales tune life‐history transitions to oceanographic conditions |