ArticleEcology and evolution2020
Performance evaluation of cetacean species distribution models developed using generalized additive models and boosted regression trees.
Article in Ecology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
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- Generalized Additive Modeling of Ecological Data With mgcv: New Adequacy Assessment Tools.Ecology and evolution · 2026Article
- MALMPS: A Machine Learning-Based Metabolic Gene Prognostic Signature for Stratifying Clinical Outcomes and Molecular Heterogeneity in Stage II/III Colorectal Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Near-global spawning strategies of large pelagic fish.Nature communications · 2025Article
- Species aggregation models resolve essential foraging habitat: Implications for conservation and management.Ecological applications : a publication of the Ecological Society of America · 2025Article
- When Sardines Disappear: Tracking Common Dolphin,Animals : an open access journal from MDPI · 2025Article
- Ecological drivers of movement for two sympatric marine predators in the California current large marine ecosystem.Movement ecology · 2025Article
- Evaluating Three Modelling Frameworks for Assessing Changes in Fin Whale Distribution in the Mediterranean Sea.Ecology and evolution · 2025Article
- Comparative Analysis of MaxEnt and Deep Learning Approaches for Modeling Humpback Whale Distribution in North Iceland.Ecology and evolution · 2025Article
- Modeling Tick Populations: An Ecological Test Case for Gradient Boosted Trees.bioRxiv : the preprint server for biology · 2023Article
- Predicting Carcass Weight of Grass-Fed Beef Cattle before Slaughter Using Statistical Modelling.Animals : an open access journal from MDPI · 2023Article
- Environmental variables and machine learning models to predict cetacean abundance in the Central-eastern Mediterranean Sea.Scientific reports · 2023Article
- Association of Leopard Cat Occurrence with Environmental Factors in Chungnam Province, South Korea.Animals : an open access journal from MDPI · 2022Article
- Seascape genomics of common dolphins (Delphinus delphis) reveals adaptive diversity linked to regional and local oceanography.BMC ecology and evolution · 2022Article
- Deep ocean drivers better explain habitat preferences of sperm whales Physeter macrocephalus than beaked whales in the Bay of Biscay.Scientific reports · 2022Article
- Where did they not go? Considerations for generating pseudo-absences for telemetry-based habitat models.Movement ecology · 2021Article
- Towards a better characterisation of deep-diving whales' distributions by using prey distribution model outputs?PloS one · 2021Article
- Identifying priority habitat for conservation and management of Australian humpback dolphins within a marine protected area.Scientific reports · 2020Article
- Performance evaluation of cetacean species distribution models developed using generalized additive models and boosted regression trees.Ecology and evolution · 2020Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Species distribution models (SDMs) are important management tools for highly mobile marine species because they provide spatially and temporally explicit information on animal distribution. Two prevalent modeling frameworks used to develop SDMs for marine species are generalized additive models (GAMs) and boosted regression trees (BRTs), but comparative studies have rarely been conducted; most rely on presence-only data; and few have explored how features such as species distribution characteristics affect model performance. Since the majority of marine species BRTs have been used to predict habitat suitability, we first compared BRTs to GAMs that used presence/absence as the response variable. We then compared results from these habitat suitability models to GAMs that predict species density (animals per km
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