A robust assessment of the American eel (Anguilla rostrata) stock, required to guide
conservation efforts, is challenged by the species' vast range, high variability in …

Ecologists collect their data manually by visiting multiple sampling sites. Since there can be
multiple species in the multiple sampling sites, manually classifying them can be a daunting …

Identifying areas prone to flooding is a key step in flood risk management. The purpose of
this study is to develop and present a novel flood susceptibility model based on Bayesian …

Based on a review of previous studies on urban resilience, this research paper focuses on
the issue of waterlogging. It integrates resilience concepts to propose a process …

Background Changes in disturbance regimes triggered by land use and climate change can
significantly alter forest ecosystems by modifying the distribution of some species and …

Irish and Scottish waters are important habitats for cetaceans in Europe. Yet, little data is
available for the region of the Malin Shelf, north of Ireland. Despite a rich species diversity …

Effective predictive modeling is crucial for assessing and mitigating energy consumption and
CO2 emissions in light-duty vehicles (LDVs) throughout the whole value chain of an …

In this paper we propose a new fast grid search algorithm for finding the least square
estimators of a step regression model. This algorithm makes it practical to compute …

The focus of this study is on the estimation of zero-inflated overdispersed count data that is
rampant in ecological studies. This is a major challenge in population studies. The novelty of …

Les patrons spatiaux issus de processus écologiques naturels et anthropiques constituent
une mosaïque complexe dans la nature. Ceci combiné aux conséquences parfois …