Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Danielle J. Marceau"'
Publikováno v:
International Journal for Parasitology: Parasites and Wildlife
International Journal for Parasitology: Parasites and Wildlife, Elsevier, 2019, 9, pp.49-55. ⟨10.1016/j.ijppaw.2019.03.012⟩
International Journal for Parasitology: Parasites and Wildlife, Vol 9, Iss, Pp 49-55 (2019)
International Journal for Parasitology: Parasites and Wildlife, Elsevier, 2019, 9, pp.49-55. ⟨10.1016/j.ijppaw.2019.03.012⟩
International Journal for Parasitology: Parasites and Wildlife, Vol 9, Iss, Pp 49-55 (2019)
Background Echinococcus multilocularis (Em) is a parasite with a complex life cycle whose transmission involves a predator-prey interaction. Accidental ingestion of Em eggs by humans may cause alveolar echinococcosis, a potentially fatal disease. Alt
Autor:
Dan Ben-Horin, Ehsan Mohammadi, Sarah M. Jordaan, Jordan Macknick, Garvin Heath, Victoria Urrea, Brian Bush, Danielle J. Marceau
Publikováno v:
Nature Energy. 2:804-812
The surface land use of fossil fuel acquisition and utilization has not been well characterized, inhibiting consistent comparisons of different electricity generation technologies. Here we present a method for robust estimation of the life cycle land
Autor:
Danielle J. Marceau, Christina A.D. Semeniuk, Adam J. McLane, Diana F. Tomback, Gregory J. McDermid, Teresa J. Lorenz
Publikováno v:
Biological Sciences Publications
While much is known about the relationship between Clark’s nutcracker and whitebark pine, information on nutcracker energetic behavioural strategies − the driving factors behind nutcracker emigration − and the impact of nutcracker behaviour on
Publikováno v:
Water Resources Management. 30:2851-2865
The Elbow River watershed, located in the rain shadow of the Rocky Mountains in western Canada, is characterized by a complex hydrological regime due to significant differences in climate and geomorphological settings between the west and east sub-ca
Publikováno v:
Journal of Environmental Management. 162:148-157
Negotiation is an integral part of our daily life and plays an important role in resolving conflicts and facilitating human interactions. Automated negotiation, which aims at capturing the human negotiation process using artificial intelligence and m
Publikováno v:
Sustainability, Vol 9, Iss 11, p 2022 (2017)
Sustainability; Volume 9; Issue 11; Pages: 2022
Sustainability; Volume 9; Issue 11; Pages: 2022
This paper describes the main functionalities of an integrated framework to model the interactions between land use, climate, and hydrology along with stakeholders’ negotiation. Its novelty lies in the combination of individual-based and spatially
Publikováno v:
Water; Volume 9; Issue 10; Pages: 767
Water, Vol 9, Iss 10, p 767 (2017)
Water, Vol 9, Iss 10, p 767 (2017)
This study proposes an integrated modeling system consisting of the physically-based MIKE SHE/MIKE 11 model, a cellular automata model, and general circulation models (GCMs) scenarios to investigate the independent and combined effects of future clim
Autor:
Danielle J. Marceau, Majeed Pooyandeh
Publikováno v:
Computers, Environment and Urban Systems. 48:73-85
This paper describes the incorporation of a Bayesian learning algorithm into an agent-based modeldesigned to simulate stakeholders’ negotiation when evaluating scenarios of land development. Theobjective is to facilitate reaching an agreement at an
Autor:
Danielle J. Marceau, Majeed Pooyandeh
Publikováno v:
Journal of Environmental Management. 129:309-323
Decision making in land management can be greatly enhanced if the perspectives of concerned stakeholders are taken into consideration. This often implies negotiation in order to reach an agreement based on the examination of multiple alternatives. Th
Autor:
Danielle J. Marceau, Fang Wang
Publikováno v:
Transactions in GIS. 17:828-846
While cellular automata have become popular tools for modeling land-use changes, there is a lack of studies reporting their application at very fine spatial resolutions (e.g. 5 m resolution). Traditional cellbased CA do not generate reliable results