scholarly article | Q13442814 |
P356 | DOI | 10.3389/FMARS.2016.00202 |
P50 | author | Mónica Almeida e Silva | Q56891692 |
Rui Prieto | Q57037882 | ||
Marta Tobeña | Q57767570 | ||
P2093 | author name string | Miguel Machete | |
P2860 | cites work | The Measurement of Observer Agreement for Categorical Data | Q26778373 |
Modelling marine protected areas: insights and hurdles | Q28081473 | ||
Impacts of biodiversity loss on ocean ecosystem services | Q28272062 | ||
Predicting species distributions for conservation decisions | Q30389858 | ||
Can Static Habitat Protection Encompass Critical Areas for Highly Mobile Marine Top Predators? Insights from Coastal East Africa | Q30406403 | ||
Predicting cetacean habitats from their energetic needs and the distribution of their prey in two contrasted tropical regions. | Q30432245 | ||
North Atlantic blue and fin whales suspend their spring migration to forage in middle latitudes: building up energy reserves for the journey? | Q30448392 | ||
Temporal patterns in the acoustic signals of beaked whales at Cross Seamount | Q30490093 | ||
Fit-for-purpose: species distribution model performance depends on evaluation criteria - Dutch Hoverflies as a case study. | Q30629738 | ||
Cetacean range and climate in the eastern North Atlantic: future predictions and implications for conservation. | Q30787879 | ||
Seventy-one important questions for the conservation of marine biodiversity. | Q30811093 | ||
Oceans and Human Health: a rising tide of challenges and opportunities for Europe. | Q30839965 | ||
Arctic marine mammals and climate change: impacts and resilience | Q31156211 | ||
Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data | Q33422416 | ||
Drivers and hotspots of extinction risk in marine mammals | Q34151694 | ||
A global map of human impact on marine ecosystems | Q34750346 | ||
The predictive performance and stability of six species distribution models. | Q35407330 | ||
Top marine predators track Lagrangian coherent structures | Q37179420 | ||
Topographic determinants of mobile vertebrate predator hotspots: current knowledge and future directions | Q38240081 | ||
Ecotourism rise hits whales | Q46846559 | ||
Whales as marine ecosystem engineers | Q55951666 | ||
The impacts of climate change on marine mammals: early signs of significant problems | Q55970331 | ||
Cetacean habitat in the northern oceanic Gulf of Mexico | Q56286200 | ||
Key research questions of global importance for cetacean conservation | Q56417750 | ||
AUC: a misleading measure of the performance of predictive distribution models | Q56445156 | ||
The art of modelling range-shifting species | Q56765761 | ||
Towards novel approaches to modelling biotic interactions in multispecies assemblages at large spatial extents | Q56817107 | ||
Habitat preferences of baleen whales in a mid-latitude habitat | Q56917184 | ||
Sei whale movements and behaviour in the North Atlantic inferred from satellite telemetry | Q56917215 | ||
Spatial and temporal distribution of cetaceans in the mid-Atlantic waters around the Azores | Q56917233 | ||
A review of interactions between cetaceans and fisheries in the Azores | Q56917261 | ||
Diet of mid-Atlantic Sowerby's beaked whales Mesoplondon bidens | Q56917264 | ||
Ranging patterns of bottlenose dolphins living in oceanic waters: implications for population structure | Q56917308 | ||
Are niche-based species distribution models transferable in space? | Q56929463 | ||
What's on the horizon for macroecology? | Q56962657 | ||
ENMTools: a toolbox for comparative studies of environmental niche models | Q57003053 | ||
The importance of correcting for sampling bias in MaxEnt species distribution models | Q57005690 | ||
Global imprint of climate change on marine life | Q57005953 | ||
Using species richness and functional traits predictions to constrain assemblage predictions from stacked species distribution models | Q57013859 | ||
Predicting spatial patterns of plant species richness: a comparison of direct macroecological and species stacking modelling approaches | Q57014028 | ||
Effects of sample size on the performance of species distribution models | Q57014143 | ||
Novel methods improve prediction of species’ distributions from occurrence data | Q57014231 | ||
Spatial modelling of biodiversity at the community level | Q57014235 | ||
Predictive habitat distribution models in ecology | Q57014283 | ||
Stacking species distribution models and adjusting bias by linking them to macroecological models | Q57019805 | ||
BIOMOD - a platform for ensemble forecasting of species distributions | Q57021233 | ||
Pushing the limits in marine species distribution modelling: lessons from the land present challenges and opportunities | Q57030876 | ||
A statistical explanation of MaxEnt for ecologists | Q57062660 | ||
Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models | Q57062678 | ||
Predictive Modeling of Dominant Macroalgae Abundance on Temperate Island Shelves (Azores, Northeast Atlantic) | Q57068975 | ||
Abundance and distribution of seamounts in the Azores | Q57069012 | ||
The effect of sample size and species characteristics on performance of different species distribution modeling methods | Q57193912 | ||
Constraints on interpretation of ecological niche models by limited environmental ranges on calibration areas | Q57197581 | ||
Testing the predictive performance of distribution models | Q57205139 | ||
Modelling the habitat suitability of cetaceans: Example of the sperm whale in the northwestern Mediterranean Sea | Q57523194 | ||
Real-world progress in overcoming the challenges of adaptive spatial planning in marine protected areas | Q57598461 | ||
Marine Conservation in the Azores: Evaluating Marine Protected Area Development in a Remote Island Context | Q57900286 | ||
A high-resolution model of bat diversity and endemism for continental Africa | Q57976258 | ||
ORIGINAL ARTICLE: Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar | Q58006257 | ||
Niche Modeling Perspective on Geographic Range Predictions in the Marine Environment Using a Machine-learning Algorithm | Q58006396 | ||
The impact of modelling choices in the predictive performance of richness maps derived from species-distribution models: guidelines to build better diversity models | Q58208125 | ||
A perspective on the importance of oceanic fronts in promoting aggregation of visitors to seamounts | Q58383391 | ||
Dynamic ocean management: Defining and conceptualizing real-time management of the ocean | Q58383394 | ||
Evidence of a seamount effect on aggregating visitors | Q59035116 | ||
INTERACTIONS BETWEEN CETACEANS AND THE TUNA FISHERY IN THE AZORES | Q59035180 | ||
Timing of migratory baleen whales at the Azores in relation to the North Atlantic spring bloom | Q59280898 | ||
Climate change and the cetacean community of north-west Scotland | Q59280997 | ||
Review of Data on Diets of Beaked Whales: Evidence of Niche Separation and Geographic Segregation | Q59281019 | ||
P577 | publication date | 2016-10-18 | |
P1433 | published in | Frontiers in Marine Science | Q27725763 |
P1476 | title | Modeling the Potential Distribution and Richness of Cetaceans in the Azores from Fisheries Observer Program Data | |
P478 | volume | 3 |
Q90261624 | A dataset of cetacean occurrences in the Eastern North Atlantic |
Q62394515 | Multi-state open robust design applied to opportunistic data reveals dynamics of wide-ranging taxa: the sperm whale case |
Q57068898 | Overview of the Ocean Climatology and Its Variability in the Azores Region of the North Atlantic Including Environmental Characteristics at the Seabed |
Q56917189 | Persistent Enhancement of Micronekton Backscatter at the Summits of Seamounts in the Azores |
Q89926711 | Temporal patterns in acoustic presence and foraging activity of oceanic dolphins at seamounts in the Azores |
Search more.