Zobrazeno 1 - 10
of 404
pro vyhledávání: '"Marc Mangel"'
Autor:
Holly K. Kindsvater, Maria‐José Juan‐Jordá, Nicholas K. Dulvy, Cat Horswill, Jason Matthiopoulos, Marc Mangel
Publikováno v:
Evolutionary Applications, Vol 17, Iss 2, Pp n/a-n/a (2024)
Abstract Understanding how growth and reproduction will adapt to changing environmental conditions is a fundamental question in evolutionary ecology, but predicting the responses of specific taxa is challenging. Analyses of the physiological effects
Externí odkaz:
https://doaj.org/article/0054eb8c292441ab897077f66af18054
Autor:
Sergey Budaev, Magda L. Dumitru, Katja Enberg, Sigurd Olav Handeland, Andrew D. Higginson, Tore S. Kristiansen, Anders F. Opdal, Steven F. Railsback, Ivar Rønnestad, Knut Wiik Vollset, Marc Mangel, Jarl Giske
Publikováno v:
Aquaculture, Fish and Fisheries, Vol 4, Iss 1, Pp n/a-n/a (2024)
Abstract Aquaculture of Atlantic salmon Salmo salar is in transition to precision fish farming and digitalization. As it is easier, cheaper and safer to study a digital replica than the system itself, a model of the fish can potentially improve monit
Externí odkaz:
https://doaj.org/article/66d1268ad0b443a5b160b3b9e7ca5f63
Autor:
Marc Mangel
Publikováno v:
PLoS ONE, Vol 18, Iss 2, p e0281710 (2023)
Testing remains a key tool for managing health care and making health policy during the coronavirus pandemic, and it will probably be important in future pandemics. Because of false negative and false positive tests, the observed fraction of positive
Externí odkaz:
https://doaj.org/article/b7c647837a174346af22afc75074e6fd
Autor:
Who‐Seung Lee, Santiago Salinas, Young‐Rog Lee, Jo Anne Siskidis, Marc Mangel, Stephan B. Munch
Publikováno v:
Ecology and Evolution, Vol 10, Iss 20, Pp 11296-11303 (2020)
Abstract Transgenerational plasticity (TGP) is increasingly recognized as a mechanism by which organisms can respond to environments that change across generations. Although recent empirical and theoretical studies have explored conditions under whic
Externí odkaz:
https://doaj.org/article/bf16178bc89c42be8959bb04a0959226
Autor:
Marc Mangel, Alan Brown
Publikováno v:
PLoS ONE, Vol 17, Iss 12, p e0279100 (2022)
Variability is inherent to cyber systems. Here, we introduce ideas from stochastic population biology to describe the properties of two broad kinds of cyber systems. First, we assume that each of N0 components can be in only one of two states: functi
Externí odkaz:
https://doaj.org/article/cc692d20bc274043923c981dab1b60ba
Autor:
Marc Mangel, Jimmie McEver
Publikováno v:
Complexity, Vol 2021 (2021)
We study the consequences of cyberattack, defense, and recovery in systems for which a physical system is enabled by a cyber system by extending previous applications of models from the population biology of disease to the cyber system and coupling t
Externí odkaz:
https://doaj.org/article/91ab9cb9a8b943a5b1dace6d0e063dc4
Publikováno v:
Frontiers in Ecology and Evolution, Vol 7 (2019)
Organisms have evolved to trade priorities across various needs, such as growth, survival, and reproduction. In naturally complex environments this incurs high computational costs. Models exist for several types of decisions, e.g., optimal foraging o
Externí odkaz:
https://doaj.org/article/12a7d2615e89499898e4b3f6fd8fab7b
Publikováno v:
PLoS ONE, Vol 12, Iss 11, p e0188971 (2017)
Threshold effects are common in ecosystems and can generate counterintuitive outcomes in management interventions. A threshold effect proposed for steelhead trout (Oncorhynchus mykiss) is size-conditional smolting and marine survival. Steelhead are a
Externí odkaz:
https://doaj.org/article/e7ec595361f14393a09a36d66c59c95b
Publikováno v:
PLoS Computational Biology, Vol 10, Iss 9, p e1003828 (2014)
The differences in demographic and life-history processes between organisms living in the same population have important consequences for ecological and evolutionary dynamics. Modern statistical and computational methods allow the investigation of in
Externí odkaz:
https://doaj.org/article/10db6d6651d245d8ba8a1d1b67a4a1c9
Publikováno v:
PLoS Computational Biology, Vol 10, Iss 9, p e1003794 (2014)
Since we still know very little about stem cells in their natural environment, it is useful to explore their dynamics through modelling and simulation, as well as experimentally. Most models of stem cell systems are based on deterministic differentia
Externí odkaz:
https://doaj.org/article/b6f0691e28b44844a282e81d76b51d71