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Mallard response to experimental human disturbance on sanctuary areas is mediated by hunting
Wildlife Biology, EarlyView.Wildlife managers often provide spatial sanctuaries for wildlife to escape both lethal (e.g. hunting) and non‐lethal (e.g. non‐consumptive recreation) human disturbance. However, as societal interest in outdoor recreation continues to climb, many areas face added pressure to allow recreation, yet studies increasingly demonstrate negative effects of ...
Abigail G. Blake‐Bradshaw +6 more
wiley +1 more source
Wildlife Biology, EarlyView.Resource managers require accurate estimates of large herbivore abundance and demography to maintain ecological integrity. Common methods to count these species, including observations from low altitude helicopter flights, may conflict with other protected area management objectives and struggle to produce precise estimates for more cryptic species. To
Hanem G. Abouelezz, N. Thompson Hobbs
wiley +1 more source
Wildlife Biology, EarlyView.Investigating resource selection patterns of declining species is critical to developing effective conservation strategies and mitigating negative population trends. We trapped and radio‐collared northern bobwhite Colinus virginianus and recorded the location of each individual three times per week during the northern bobwhite breeding season (April ...
Jeffrey M. Grayum +10 more
wiley +1 more source
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Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), 2002
We first review some of the basic results of finite Markov chains based on probability theory, then we present fuzzy finite Markov chains based on possibility theory, and compare the results of the two theories. Then we introduce finite horizon Markovian decision processes based on fuzzy Markov chains and study an example in detail showing our solution
Yoichi Hayashi +2 more
openaire +2 more sources
We first review some of the basic results of finite Markov chains based on probability theory, then we present fuzzy finite Markov chains based on possibility theory, and compare the results of the two theories. Then we introduce finite horizon Markovian decision processes based on fuzzy Markov chains and study an example in detail showing our solution
Yoichi Hayashi +2 more
openaire +2 more sources
2001
Abstract Show that any sequence of independent random variables taking values in the countable set S is a Markov chain. Under what condition is this chain homogeneous? A die is rolled repeatedly. Which of the following are Markov chains? For those that are, supply the transition matrix.
Geoffrey R Grimmett, David R Stirzaker
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Abstract Show that any sequence of independent random variables taking values in the countable set S is a Markov chain. Under what condition is this chain homogeneous? A die is rolled repeatedly. Which of the following are Markov chains? For those that are, supply the transition matrix.
Geoffrey R Grimmett, David R Stirzaker
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Markov chains and embedded Markov chains in geology
Journal of the International Association for Mathematical Geology, 1969Geological data are structured as first-order, discrete-state discrete-time Markov chains in two main ways. In one, observations are spaced equally in time or space to yield transition probability matrices with nonzero elements in the main diagonal; in the other, only state transitions are recorded, to yield matrices with diagonal elements exactly ...
W. C. Krumbein, Michael F. Dacey
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