An approximate Bayesian algorithm for training fuzzy cognitive map models of forest responses to deer control in a New Zealand adaptive management experiment
暂无分享,去创建一个
Will Allen | Chris Jacobson | Richard J. Barker | Clare J. Veltman | David S. L. Ramsey | Simon J. Nicol | Charles R. Todd | Sarah J. Richardson | David M. Forsyth | Robert B. Allen | Peter J. Bellingham | C. Todd | D. Forsyth | P. Bellingham | C. Jacobson | S. Richardson | S. Nicol | R. Barker | D. Ramsey | R. Allen | C. Veltman | W. Allen
[1] Jean-Marie Cornuet,et al. Lack of confidence in ABC model choice , 2011, 1102.4432.
[2] Witold Pedrycz,et al. Numerical and Linguistic Prediction of Time Series With the Use of Fuzzy Cognitive Maps , 2008, IEEE Transactions on Fuzzy Systems.
[3] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[4] C. King,et al. The handbook of New Zealand mammals , 1990 .
[5] A. Perelson,et al. Mathematical and Computational Challenges in Population Biology and Ecosystems Science , 1997, Science.
[6] Peter Kareiva,et al. THE PACIFIC SALMON WARS: What Science Brings to the Challenge of Recovering Species , 2002 .
[7] Richard C. Thompson,et al. Physical stress and biological control regulate the producer-consumer balance in intertidal biofilms , 2004 .
[8] Sarah J. Richardson,et al. Shifts in leaf N : P ratio during resorption reflect soil P in temperate rainforest , 2008 .
[9] Cajo J. F. ter Braak,et al. A Markov Chain Monte Carlo version of the genetic algorithm Differential Evolution: easy Bayesian computing for real parameter spaces , 2006, Stat. Comput..
[10] David Welch,et al. Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems , 2009, Journal of The Royal Society Interface.
[11] Hans-Jürgen Zimmermann,et al. Fuzzy Set Theory - and Its Applications , 1985 .
[12] Carl J. Walters,et al. Large‐Scale Management Experiments and Learning by Doing , 1990 .
[13] Graham Nugent,et al. Top down or bottom up? Comparing the impacts of introduced arboreal possums and ‘terrestrial’ ruminants on native forests in New Zealand , 2001 .
[14] Paul Marjoram,et al. Markov chain Monte Carlo without likelihoods , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[15] Cajo J. F. ter Braak,et al. Differential Evolution Markov Chain with snooker updater and fewer chains , 2008, Stat. Comput..
[16] Elpiniki I. Papageorgiou,et al. Fuzzy cognitive map based approach for predicting yield in cotton crop production as a basis for decision support system in precision agriculture application , 2011, Appl. Soft Comput..
[17] David A. Coomes,et al. The benefits of being in a bad neighbourhood: plant community composition influences red deer foraging decisions , 2009 .
[18] Carl J. Walters,et al. Adaptive Management of Renewable Resources , 1986 .
[19] David A. Coomes,et al. Disturbances prevent stem size‐density distributions in natural forests from following scaling relationships , 2003 .
[20] Philippe A. Rossignol,et al. Alternative community structures in a kelp-urchin community: A qualitative modeling approach , 2007 .
[21] Gary P. Kofinas,et al. Ten Heuristics for Interdisciplinary Modeling Projects , 2002, Ecosystems.
[22] Thomas T. Veblen,et al. The Effects of Introduced Wild Animals on New Zealand Forests , 1982 .
[23] David A. Coomes,et al. Factors Preventing the Recovery of New Zealand Forests Following Control of Invasive Deer , 2003 .
[24] Marcin Churski,et al. Bottom‐up versus top‐down control of tree regeneration in the Białowieża Primeval Forest, Poland , 2010 .
[25] P. Bellingham,et al. Distinguishing Natural Processes from Impacts of Invasive Mammalian Herbivores , 2006 .
[26] J. T. Holloway,et al. Deer and the forests of Western Southland. , 1950 .
[27] Graham Nugent,et al. Changes in the density and distribution of red deer and Wapiti in northern Fiordland , 1987 .
[28] G. H. Stewart,et al. Forest understorey changes after reduction in deer numbers, Northern Fiordland, New Zealand , 1987 .
[29] Clare J. Veltman,et al. Predicting the effects of perturbations on ecological communities: what can qualitative models offer? , 2005 .
[30] P. Donnelly,et al. Inferring coalescence times from DNA sequence data. , 1997, Genetics.
[31] Richard P. Duncan,et al. Light environments occupied by conifer and angiosperm seedlings in a New Zealand podocarp-broadleaved forest , 2009 .
[32] David A. Wardle,et al. Effects of species and functional group loss on island ecosystem properties , 2005, Nature.
[33] Uygar Özesmi,et al. Ecological models based on people’s knowledge: a multi-step fuzzy cognitive mapping approach , 2004 .
[34] Jeffrey M. Dambacher,et al. RELEVANCE OF COMMUNITY STRUCTURE IN ASSESSING INDETERMINACY OF ECOLOGICAL PREDICTIONS , 2002 .
[35] Elpiniki I. Papageorgiou,et al. A new hybrid method using evolutionary algorithms to train Fuzzy Cognitive Maps , 2005, Appl. Soft Comput..
[36] Alan F. Mark,et al. Monitoring the impacts of deer on vegetation condition of Secretary Island, Fiordland National Park, New Zealand: A clear case for deer control and ecological restoration , 1991 .
[37] Anwar Ghani,et al. INTRODUCED BROWSING MAMMALS IN NEW ZEALAND NATURAL FORESTS: ABOVEGROUND AND BELOWGROUND CONSEQUENCES , 2001 .
[38] Helen M. Regan,et al. A TAXONOMY AND TREATMENT OF UNCERTAINTY FOR ECOLOGY AND CONSERVATION BIOLOGY , 2002 .
[39] L. Wasserman,et al. Computing Bayes Factors by Combining Simulation and Asymptotic Approximations , 1997 .
[40] W. Henry McNab,et al. A topographic index to quantify the effect of mesoscale and form on site productivity , 1993 .
[41] David A. Coomes,et al. The hare, the tortoise and the crocodile: the ecology of angiosperm dominance, conifer persistence and fern filtering , 2005 .
[42] RICHARD J. BARKER,et al. Modeling the Relationship Between Fecal Pellet Indices and Deer Density , 2007 .
[43] M. Beaumont. Approximate Bayesian Computation in Evolution and Ecology , 2010 .
[44] David S. L. Ramsey,et al. Predicting the unexpected: using a qualitative model of a New Zealand dryland ecosystem to anticipate pest management outcomes. , 2009 .
[45] Sarah J. Richardson,et al. Stand development moderates effects of ungulate exclusion on foliar traits in the forests of New Zealand , 2010 .
[46] David A. Coomes,et al. Impacts of introduced deer and extinct moa on New Zealand ecosystems , 2010 .
[47] David A. Coomes,et al. Landscape‐level vegetation recovery from herbivory: progress after four decades of invasive red deer control , 2009 .
[48] Bart Kosko,et al. Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence , 1991 .
[49] Benjamin F. Hobbs,et al. FUZZY COGNITIVE MAPPING AS A TOOL TO DEFINE MANAGEMENT OBJECTIVES FOR COMPLEX ECOSYSTEMS , 2002 .
[50] Lilian Blanc,et al. Higher treefall rates on slopes and waterlogged soils result in lower stand biomass and productivity in a tropical rain forest , 2010 .
[51] J. P. Parkes,et al. Does Commercial Harvesting of Introduced Wild Mammals Contribute to Their Management as Conservation Pests , 2006 .
[52] Bart Kosko,et al. Fuzzy Cognitive Maps , 1986, Int. J. Man Mach. Stud..
[53] Christophe Andrieu,et al. Model criticism based on likelihood-free inference, with an application to protein network evolution , 2009, Proceedings of the National Academy of Sciences.
[54] H. Zimmermann,et al. Fuzzy Set Theory and Its Applications , 1993 .
[55] F. Johnson,et al. Conditions and Limitations on Learning in the Adaptive Management of Mallard Harvests , 2002 .
[56] D. Scott,et al. A height frequency method for sampling tussock and shrub vegetation , 1965 .
[57] Will Allen,et al. Collaborative Learning as Part of Adaptive Management of Forests Affected by Deer , 2009 .