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Long-term aerial monitoring of Florida manatees, Trichechus manatus latirostris, shows stable trends in counts in a diverse Gulf Coast environment

Modeling fine-grained spatio-temporal pollution maps with low-cost sensors

Whitespotted eagle ray (Aetobatus narinari) age and growth in wild (in-situ) versus aquarium-housed (ex-situ) individuals: Implications for conservation and management

Elasmobranchs typically display slow growth, late maturity and low fecundity life history characteristics, making them vulnerable to fishing pressures and environmental perturbations. The whitespotted eagle ray (Aetobatus narinari), a large pelagic …

Reliable growth estimation from mark–recapture tagging data in elasmobranchs

The somatic growth of individuals governs many aspects of a species' life history and is an important parameter in the assessment of populations. Population growth parameters are typically derived by relating the length of individuals to their age, …

Insights into the vulnerability of vegetation to tephra fallouts from interpretable machine learning and big Earth observation data

Although the generally high fertility of volcanic soils is often seen as an opportunity, short-term consequences of eruptions on natural and cultivated vegetation are likely to be negative. The empirical knowledge obtained from post-event impact …

Robust Estimation for Discrete-Time State Space Models

State space models (SSMs) are now ubiquitous in many fields and increasingly complicated with observed and unobserved variables often interacting in non-linear fashions. The crucial task of validating model assumptions thus becomes difficult, …

Unified natural mortality estimation for teleosts and elasmobranchs

Natural mortality, M, is a key parameter for the assessment and management of living resources but is difficult to observe directly. Therefore, M is often estimated indirectly from life history traits and typically assumed to be invariant over size, …

Robust Fitting for Generalized Additive Models for Location, Scale and Shape

The validity of estimation and smoothing parameter selection for the wide class of generalized additive models for location, scale and shape (GAMLSS) relies on the correct specification of a likelihood function. Deviations from such assumption are …

The conditionally autoregressive hidden Markov model (CarHMM): Inferring behavioural states from animal tracking data exhibiting conditional autocorrelation

One of the central interests of animal movement ecology is relating movement characteristics to behavioural characteristics. The traditional discrete-time statistical tool for inferring unobserved behaviours from movement data is the hidden Markov …

Identifiable state-space models: A case study of the Bay of Fundy sea scallop fishery

State-space models (SSMs) are now popular tools in fisheries science for providing management advice when faced with noisy survey and commercial fishery data. Such models are often fitted within a Bayesian framework requiring both the specification …