Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12104/43396
Title: Identifying keystone trophic groups in benthic ecosystems: Implications for fisheries management
Author: Klimov, Andrei B.
Bjork, G.
Sanchez-Soto, L.L.
Issue Date: 2013
Abstract: Mutually unbiased bases determine an optimal set of measurements to extract complete information about the quantum state of a system. However, quite often a priori information about the state exists, making some of the measurement bases superfluous. This is, for example, the case when multiqubit states belong to the permutationally invariant subspace. In this paper we derive the minimal sets of mutually unbiased bases needed to tomographically reconstruct such states. " 2013 American Physical Society.",,,,,,"10.1103/PhysRevA.87.012109",,,"http://hdl.handle.net/20.500.12104/43396","http://www.scopus.com/inward/record.url?eid=2-s2.0-84872331116&partnerID=40&md5=8f983ecc04f354a06191700945ec0fa6",,,,,,"1",,"Physical Review A - Atomic, Molecular, and Optical Physics",,,,"87",,"Scopus
WOS",,,,,,,,,,,,"Optimal quantum tomography of permutationally invariant qubits",,"Article" "43838","123456789/35008",,"Lavielle, P., Unidad de Investigación en Epidemiología Clínica, Hospital de Especialidades Bernardo Sepúlveda, IMSS, Hospital General de México OD, México, DF, Mexico, Edif. D-101, S. Chiapas 59, Col Roma, México, DF, Italy; Clark, P., Unidad de Investigación en Epidemiología Clínica, Hospital de Especialidades Bernardo Sepúlveda, IMSS, Unidad de Postgrado, Facultad de Medicina, UNAM, México, DF, Mexico; Martínez, H., RAND, Santa Mónica, CA, United States, Hospital Infantil de México Federico Gómez, México, DF, Mexico; Mercado, F., Universidad de Guadalajara, Guadalajara, Mexico; Ryan, G., RAND, Santa Mónica, CA, United States",,"Lavielle, P.
Clark, P.
Martinez, H.
Mercado, F.
Ryan, G.",,"2008",,"Objective. To describe the illness behaviour in patients with chronic pain. Material and Methods. We conducted semi-structured interviews to 53 patients during 2000, in a tertiary care center. We explored their initial interpretations, responses and subsequent practices to chronic pain, until they received a diagnosis that satisfied them. Results. Illness behaviour was determined by pain intensity and disability; beliefs regarding pain causes, trust in social networks, and quality and satisfaction with the health care systems. In terms of the decision to seek care, the first option was to go to the popular sector, followed by consulting a general physician, and as last resort, to go to a tertiary care center ("with a specialist"). Conclusions. Illness behaviour should be conceptualized as a process, which combines the use of different health care sectors by the same subjects, as a result of care provided sequentially by each previous sector.",,,,,,,,,"http://hdl.handle.net/20.500.12104/42059","http://www.scopus.com/inward/record.url?eid=2-s2.0-42349084626&partnerID=40&md5=a89441a0e214a9ee293bbb82c52f7c64",,,,,,"2",,"Salud Publica de Mexico",,"147
154",,"50",,"Scopus
WOS",,,,,,"Chronic pain; Health care systems; Illness behaviour; Mexico",,,,,,"Illness behavior in chronic pain [Conducta del enfermo ante el dolor crúnico]",,"Article" "43827","123456789/35008",,"Ortiz, M., Instituto Antofagasta, Instituto de Investigaciones Oceanológicas, Universidad de Antofagasta, P.O. Box 170, Antofagasta, Chile; Levins, R., Department of Global Health and Population, Harvard School of Public Health, Harvard University, 665 Huntington Avenue, Boston, MA 02115, United States; Campos, L., Instituto Antofagasta, Instituto de Investigaciones Oceanológicas, Universidad de Antofagasta, P.O. Box 170, Antofagasta, Chile, Programa de Doctorado en Ciencias Aplicadas, Mención Sistemas Marinos Costeros, Universidad de Antofagasta, Antofagasta, Chile; Berrios, F., Instituto Antofagasta, Instituto de Investigaciones Oceanológicas, Universidad de Antofagasta, P.O. Box 170, Antofagasta, Chile, Programa de Doctorado en Ciencias Aplicadas, Mención Sistemas Marinos Costeros, Universidad de Antofagasta, Antofagasta, Chile; Campos, F., Instituto Antofagasta, Instituto de Investigaciones Oceanológicas, Universidad de Antofagasta, P.O. Box 170, Antofagasta, Chile; Jordan, F., Microsoft Research, University of Trento, Centre for Computational and Systems Biology, Piazza Manifattura 1, Rovereto, TN, Italy; Hermosillo, B., Instituto Antofagasta, Instituto de Investigaciones Oceanológicas, Universidad de Antofagasta, P.O. Box 170, Antofagasta, Chile, Programa de Doctorado en Ciencias Aplicadas, Mención Sistemas Marinos Costeros, Universidad de Antofagasta, Antofagasta, Chile; Gonzalez, J., Instituto Antofagasta, Instituto de Investigaciones Oceanológicas, Universidad de Antofagasta, P.O. Box 170, Antofagasta, Chile, Programa de Doctorado en Ciencias Aplicadas, Mención Sistemas Marinos Costeros, Universidad de Antofagasta, Antofagasta, Chile; Rodriguez, F., Laboratorio de Ecosistemas Marinos y Acuicultura (LEMA), Departamento de Ecología, Universidad de Guadalajara, Carretera Guadalajara-Nogales Km. 15.5, Las Agujas Nextipac, Zapopan, 45110, Jalisco, Mexico",,"Ortiz, M.
Levins, R.
Campos, L.
Berrios, F.
Campos, F.
Jordan, F.
Hermosillo, B.
Gonzalez, J.
Rodriguez, F.",,"2013",,"Many species inhabiting the benthic marine ecosystems of the central and northern Chilean coast have been intensively harvested and this exploitation has increased considerably in recent years. Despite this harvest pressure, few studies have attempted to establish a more holistic, systems-based management plan. On the contrary, research continues to rely on population models in which the species of interest are isolated from their ecological context. This work offers several keystone indices in order to help multispecies fisheries management. The indices used are: (1) functional indices based on steady-state and dynamic trophic models; (2) structural indices based on bottom-up and top-down control mechanisms; and (3) qualitative keystone species indices using loop models (mixed control). The quantitative trophic models were constructed using Ecopath with Ecosim (EwE; v. 5.0) software, and the qualitative model was analysed using Loop Analysis. All models describe the interactions of the most representative species and functional groups inhabiting the benthic ecosystems of Tongoy Bay, La Rinconada Marine Reserve (Antofagasta Bay), and the kelp forest of Mejillones Peninsula (Antofagasta). Even though our results only represent the short-term dynamics of these systems, we have found keystoneness properties of several species and functional groups, including primary producers, herbivores, and top predators. Despite this wide variability of groups, we detected a different core set of species or functional groups, each of which contained prey-predator and plant-herbivore relationships. Because the traditional keystone concept of a single species is difficult to apply, we suggest shifting away from this view towards a more holistic alternative such as that of a keystone species complex. This kind of approach would facilitate the design and assessment of sustainable management strategies for ecological marine ecosystems. Despite the ecological relevance of our results, further experimental studies and modelling using other theoretical frameworks should be performed. " 2012 Elsevier Ltd.
URI: http://hdl.handle.net/20.500.12104/42048
http://www.scopus.com/inward/record.url?eid=2-s2.0-84867389283&partnerID=40&md5=30daf2c691b4a2284b51ea0141274f39
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