William W. L. Cheung

TL;DR: A Dynamic Bioclimate Envelope Model is used to project range shift of exploited marine fishes and invertebrates in Western Australia and shows that under the SRES (Special Report for Emission Scenarios) A1B scenario, the median rate of distribution shift is around 19 km decade–1 towards higher latitudes and 9 m deeper decade-1 by 2055 relative to 2005.

TL;DR: Cheung et al. as mentioned in this paper developed a dynamic bioclimate envelope model to predict the effect of climate change on the distributions of marine species with emphasis on commercially exploited fishes and invertebrates.

TL;DR: This article proposed to incorporate different categories of linguistic features into distributed representation of words in order to learn simultaneously the writing style representations based on unlabeled texts for AA, which allows topical, lexical, syntactical, and character-level feature vectors of each document to be extracted as stylometrics.

TL;DR: An assessment of the potential impacts on, and the vulnerability of, marine biodiversity and fisheries catches in the Arabian Gulf under climate change, using three separate niche modelling approaches under a ‘business-as-usual’ climate change scenario.

TL;DR: In this article, a fuzzy logic model was used to evaluate the capacity of regions to achieve a blue economy from ocean resources, showing that the key differences in the capacity for achieving blue economy are not due to available natural resources but include factors such as national stability, corruption and infrastructure, which can be improved through targeted investments and cross-scale cooperation.