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Academic literature on the topic 'Biocomplexity'

Author: Grafiati

Published: 4 June 2021

Last updated: 31 July 2024

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Journal articles on the topic "Biocomplexity"

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Meek, Mariah H., Molly R. Stephens, Alisha Goodbla, Bernie May, and Melinda R. Baerwald. "Identifying hidden biocomplexity and genomic diversity in Chinook salmon, an imperiled species with a history of anthropogenic influence." Canadian Journal of Fisheries and Aquatic Sciences 77, no. 3 (March 2020): 534–47. http://dx.doi.org/10.1139/cjfas-2019-0171.

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Biocomplexity is an important mechanism for population resilience in changing environments. However, we are just beginning to understand how to identify biocomplexity so that species management efforts promote resilience and stability. Genomic techniques are emerging as an important method for identifying biocomplexity. Central Valley (CV) Chinook salmon are an example of a species at risk of extinction if better methods for identifying and protecting biocomplexity are not employed. To address this knowledge gap, we employed restriction site associated DNA sequencing to conduct the first genomic study of all major populations of CV Chinook salmon. We found greater population structure across the Central Valley than previously documented. Additionally, we show evidence for differentiation and adaptation within migratory phenotypes despite high levels of gene flow. We also determined that genomic data can vastly improve our ability to assign individuals to their natal populations, even as they mix during migration, a finding that will assist management practices. These results demonstrate how genomic study can greatly improve our ability to identify and conserve biocomplexity.

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SCHULZ, WILLIAM. "BIOCOMPLEXITY FOR CHEMISTS." Chemical & Engineering News 79, no. 2 (January 8, 2001): 19–20. http://dx.doi.org/10.1021/cen-v079n002.p019.

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Sauer, Karin, Alex H. Rickard, and David G. Davies. "Biofilms and Biocomplexity." Microbe Magazine 2, no. 7 (July 1, 2007): 347–53. http://dx.doi.org/10.1128/microbe.2.347.1.

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Fuqua, C., J. A. Glazier, Y. Brun, and M. S. Alber. "Introduction to Proceedings of the Workshop “Biocomplexity VI: Complex Behavior in Unicellular Organisms”." Biofilms 1, no. 4 (October 2004): 227–28. http://dx.doi.org/10.1017/s1479050505001675.

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This special issue of Biofilms highlights current experimental studies and modeling of collective phenomena in single-celled microbes, primarily bacteria, stemming from the Workshop “Biocomplexity VI: Complex Behavior in Unicellular Organisms”, held 12–16 May 2004, at Indiana University, Bloomington, IN, USA, and co-organized by the Biocomplexity Institute at Indiana University and the Interdisciplinary Center for the Study of Biocomplexity at the University of Nôtre Dame, with support from the National Science Foundation (grant no. 0352904), the National Institutes of Health (grant no. GM071709-01), the National Institute of General Medical Sciences and the College of Arts and Sciences at Indiana University.

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MICHENER, WILLIAM K., THOMAS J. BAERWALD, PENELOPE FIRTH, MARGARET A. PALMER, JAMES L. ROSENBERGER, ELIZABETH A. SANDLIN, and HERMAN ZIMMERMAN. "Defining and Unraveling Biocomplexity." BioScience 51, no. 12 (2001): 1018. http://dx.doi.org/10.1641/0006-3568(2001)051[1018:daub]2.0.co;2.

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Peng, NAN, WANG Li, ZHANG Xiao-Yan, and ZHONG Yang. "Advances in biocomplexity studies." Biodiversity Science 10, no. 2 (2002): 238–42. http://dx.doi.org/10.17520/biods.2002032.

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Hilborn, R., T. P. Quinn, D. E. Schindler, and D. E. Rogers. "Biocomplexity and fisheries sustainability." Proceedings of the National Academy of Sciences 100, no. 11 (May 12, 2003): 6564–68. http://dx.doi.org/10.1073/pnas.1037274100.

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Feller, I. C., C. E. Lovelock, U. Berger, K. L. McKee, S. B. Joye, and M. C. Ball. "Biocomplexity in Mangrove Ecosystems." Annual Review of Marine Science 2, no. 1 (January 2010): 395–417. http://dx.doi.org/10.1146/annurev.marine.010908.163809.

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Colwell, Rita R. "Future directions in biocomplexity." Complexity 6, no. 4 (2001): 21–22. http://dx.doi.org/10.1002/cplx.1036.

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Prinz, Robert. "A simple measure for biocomplexity." Biosystems 217 (July 2022): 104670. http://dx.doi.org/10.1016/j.biosystems.2022.104670.

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Dissertations / Theses on the topic "Biocomplexity"

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Stoffle, Richard W., Vlack Kathleen A. Van, Nathaniel B. O’Meara, and Aja Y. Martinez. "The Bahamas Biocomplexity Study Photo Collection." Bureau of Applied Research in Anthropology, University of Arizona, 2013. http://hdl.handle.net/10150/297234.

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Kaul, Himanshu. "A multi-paradigm modelling framework for simulating biocomplexity." Thesis, University of Oxford, 2013. https://ora.ox.ac.uk/objects/uuid:a3e6913d-b4c1-49fd-88fb-7e7155de2e2f.

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The following thesis presents a computational framework that can capture inherently non-linear and emergent biocomplex phenomena. The main motivation behind the investigations undertaken was the absence of a suitable platform that can simulate, both the continuous features as well as the discrete, interaction-based dynamics of a given biological system, or in short, dynamic reciprocity. In order to determine the most powerful approach to achieve this, the efficacy of two modelling paradigms, transport phenomena as well as agent-based, was evaluated and eventually combined. Computational Fluid Dynamics (CFD) was utilised to investigate optimal boundary conditions, in terms of meeting cellular glucose consumption requirements and exposure to physiologically relevant shear fields, that would support mesenchymal stem cell growth in a 3-dimensional culture maintained in a commercially available bioreactor. In addition to validating the default bioreactor configuration and operational parameter ranges as suitable towards sustaining stem cell growth, the investigation underscored the effectiveness of CFD as a design tool. However, due to the homogeneity assumption, an untenable assumption for most biological systems, CFD often encounters difficulties in simulating the interaction-reliant evolution of cellular systems. Therefore, the efficacy of the agent-based approach was evaluated by simulating a morphogenetic event: development of in vitro osteogenic nodule. The novel model replicated most aspects observed in vitro, which included: spatial arrangement of relevant players inside the nodule, interaction-based development of the osteogenic nodules, and the dependence of nodule growth on its size. The model was subsequently applied to interrogate the various competing hypotheses on this process and identify the one that best captures transformation of osteoblasts into osteocytes, a subject of great conjecture. The results from this investigation annulled one of the competing hypotheses, which purported the slow-down in the rate of matrix deposition by certain osteoblasts, and also suggested the acquisition of polarity to be a non-random event. The agent-based model, however, due to being inherently computationally expensive, cannot be recommended to model bulk phenomena. Therefore, the two approaches were integrated to create a modelling platform that was utilised to capture dynamic reciprocity in a bioreactor. As a part of this investigation, an amended definition of dynamic reciprocity and its computational analogue, dynamic assimilation, were proposed. The multi-paradigm platform was validated by conducting melanoma chemotaxis under foetal bovine serum gradient. Due to its CFD and agent-based modalities, the platform can be employed as both a design optimisation as well as hypothesis testing tool.

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Kaul, Himanshu. "A multi-paradigm modelling framework for stimulating biocomplexity." Thesis, University of Oxford, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.711678.

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Ekpe, Edem Kodzo. "Livelihoods support programs, conservation attitudes, and tropical biodiversity: an evaluation of biocomplexity in southeastern Ghana." Doctoral diss., University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5193.

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Human activities are a major driver of biodiversity degradation and loss, especially in tropical forest areas, where forest-fringe towns and villages depend on the forests for their livelihoods. In order to reduce threats that human activities pose to biodiversity, livelihoods support programs are employed as economic incentives for biodiversity conservation. These programs support the livelihoods activities of local communities, with the aim of triggering favorable attitudes and behaviors towards conservation, and ultimately reduce biodiversity degradation. Their effectiveness as conservation tools has not been evaluated. I investigated the effects of livelihoods programs on conservation attitudes and the consequent effects on biodiversity in the Afadjato-Agumatsa and Atewa forest areas in southeastern Ghana. The study areas are coupled human and natural systems, which are excellent for research in the theoretical framework of biocomplexity in the environment. Using literature reviews and field visits, I documented the specific livelihoods support activities (LSAs) used for biodiversity conservation, their historical trend and geographical distribution in Ghana. I used ex-post cost-benefit analysis to determine socio-economic estimates of the LSAs in the two forest areas. Since communities were not randomly assigned to the interventions, I employed quasi-experimental design to evaluate the effects of LSAs on environmental attitudes. I evaluated the effect of conservation attitudes on biodiversity at two levels. These levels included 1) functional biodiversity at the landscape level represented by mean Normalized Difference Vegetation Index (NDVI) of forest; and 2) compositional biodiversity at the species level represented by species diversity of fruit bats. The earliest record of LSAs used for biodiversity conservation in Ghana was in 1993. I identified 71 different activities belonging to eight categories. Some of these activities are beekeeping, animal husbandry, crop farming, and snail rearing. Most LSA programs have been in northern Ghana. There was an increasing tendency to make LSAs part of every conservation program in Ghana and this satisfies the current policy of collaborative conservation. The socio-economic estimates of LSAs included: 1) capital investment; 2) net socio-economic benefits; and 3) the benefit-cost ratio. The per-community values of the three estimates were not different between the two study areas. The per capita values of capital investment and net economic benefit were not significantly different between the two study areas. However, benefit-cost ratio per capita was higher in Afadjato-Agumatsa than in Atewa. Estimates of economic returns from LSAs were marginal but the perceptions of success were relatively high. Environmental attitudes in LSA communities and non-LSA communities were not significantly different, and this was confirmed by an estimate of infinitesimal effects of LSAs on forest conservation attitudes. Among LSA communities, benefit-cost ratio of LSAs predicted favorable forest conservation attitudes; and change in pro-conservation attitudes were significantly higher in communities that had active LSAs than in communities which had no active LSA. Mean NDVI of the forests decreased from 1991 to 2000 and decreased further but at a slower rate to 2010. Higher forest conservation attitudes predicted higher mean NDVI in 2010. Higher change in mean NDVI from 1991 to 2000 predicted higher change in mean NDVI from 2000 to 2010. Eleven of the 13 fruit bat species in Ghana were recorded in the study areas. Longer distances between a local community and its forest predicted higher species diversity of forest-specialist fruit bats. The results indicate that LSAs have become a major contribution to Ghana's current collaborative forest policy. The fact that perceptions of LSA success were moderate even though the economic returns from them were marginal suggest that other factors such as provision of employment, training in new skills and community cohesion played a part in how communities viewed the success as LSAs. Evaluations of conservation attitudes suggest that just participating in LSAs did not improve attitudes; but higher benefit-cost ratio predicted favorable conservation attitudes, and conservation attitudes were higher in communities that sustained their LSAs. Therefore, it may serve biodiversity conservation to invest in LSAs that can be sustained and involve the least costs to local communities. Primary production of the forests, a proxy for a functional habitat, continued to decrease. Preventing communities from locating closer to forests could improve fruit bat diversity, which contributes to natural forest regeneration. Improving conservation attitudes should be an objective of conservation at the landscape scale. On the basis of the results, I developed a conceptual model for forest biodiversity conservation in a biocomplexity framework. This model could be useful for evaluating conservation in tropical forest areas. Lessons from this study can be applied in other incentive-based conservation programs such as payments for ecosystem services systems and carbon market schemes. I suggest that this study be repeated after a decade and that other socio-political and biogeochemical variables be integrated into future studies.
ID: 031001519; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Adviser: Charles Ross Hinkle.; Title from PDF title page (viewed August 19, 2013).; Thesis (Ph.D.)--University of Central Florida, 2012.; Includes bibliographical references (p. 238-259).
Ph.D.
Doctorate
Biology
Sciences
Conservation Biology; Applied Conservation Biology

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Karlen, David J. "The Biocomplexity of Benthic Communities Associated with a Shallow-water Hydrothermal System in Papua New Guinea." Scholar Commons, 2010. http://scholarcommons.usf.edu/etd/3652.

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Shallow-water hydrothermal vents occur world-wide in regions of volcanic activity. The vents located at Tutum Bay, Ambitle Island, Papua New Guinea are unique in that the vent fluids and surrounding sediments contain some of the highest concentrations of arsenic in a natural system. This study addresses the effects of the vent system on the benthic communities, focusing on the eukaryotes, macrofauna, meiofauna and bacteria. Samples were collected in November 2003 and May/June 2005. Analysis of the 2003 macrofaunal samples indicated that pH, rather than arsenic was influencing the benthic community, and that the hydrothermal influence occurred at a greater distance than expected. Results of more intensive sampling carried out in 2005 are the primary focus of this dissertation. The pore water and sediment characteristics revealed distinct physical habitats corresponding with distance from the vent. There was a trend of decreasing temperature and arsenic concentration and increasing salinity and pH with distance from the vent. The vent sediment was poorly sorted volcanic gravel, while sediments along the transect showed a gradient from fine, well sorted volcanic sands to coarser carbonate sands farther away. The macrofauna showed a trend of increasing diversity with distance from the vent and similar taxa were present in both the 2003 and 2005 samples. The vent community was dominated by the polychaete Capitella cf. capitata. The inner transect from 30 m to 140 m had low diversity. Dominant taxa included thalassinid shrimp and the amphipod Platyischnopus sp.A. The 180 m to 300 m sites had significantly higher diversity. The Danlum Bay reference site had relatively higher diversity than the nearshore transect sites and was dominated by deposit feeding polychaetes. Macrofaunal community structure was influenced by the sediment characteristics, notably by CaCO3 content, sorting and median grain size. The meiofaunal community also showed changes with distance from the vent. Chromadorid nematodes were dominant at the vent site and were a major component of the meiofauna at most sites, along with copepods. The meiofaunal community at the reference site showed greater similarity to the vent community and both sites had low abundances. Nematodes were more abundant than copepods near the vent, but copepods were more abundant farther offshore and at the reference site. Meiofaunal community structure was influenced primarily by the pore water temperature and salinity. Biological interactions with the macrofaunal community through physical disturbance and predation may also influence the meiofaunal community. The molecular analysis of eukaryotic and bacterial diversity also revealed changes with distance from the vent. The 0 m and reference sites grouped together due to the presence of fungal sequences and the 140 m and 300 m sites grouped together due to a common molluscan sequence. Metazoans and fungi dominated the eukaryote sequences. The most abundant eukaryotic OTUs included fungi matching Paecilomyces sp. and Cladosporium cladosporioides and metazoans matching Viscosia viscosa (Nematoda) and Astarte castanea represented by 24 phyla and was dominated by Actinobacteria and γ-Proteobacteria. More bacterial phyla were present near the vent, while more overall OTUs were found at the intermediate sites along the transect. The most distant site had much lower diversity dominated by Firmicutes. The macrofaunal community had the strongest correlation with environmental variables. Comparison between the meiofauna and the metazoan sequences showed the proportion of nematodes found in both datasets were comparable, but the meiofauna analysis found a higher proportion of arthropods, while the molecular results were disproportionally high for platyhelminthes. Overall, the vents increased the complexity of the system by creating unique habitats. The extreme environment created by the hydrothermal activity maintained the surrounding habitat at an early successional stage colonized by a few opportunistic species. There was a gradation in the benthic communities away from the vent towards a more carbonate based climax community. The low pH environment had an effect on the sediment composition, which in turn influenced the benthic community. These findings can serve as a model for studying the potential effects of ocean acidification and climate change on benthic communities and marine biocomplexity.

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Sadownik, Jan. "Evolving complex systems from simple molecules." Thesis, St Andrews, 2009. http://hdl.handle.net/10023/857.

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Roche, David. "Biodiversity: Its Measurement and Metaphysics." University of Sydney. Unit for the History and Philosophy of Science, 2001. http://hdl.handle.net/2123/819.

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Biodiversity is a concept that plays a key role in both scientific theories such as the species-area law and conservation politics. Currently, however, little agreement exists on how biodiversity should be defined, let alone measured. This has led to suggestions that biodiversity is not a metaphysically robust concept, with major implications for its usefulness in formulating scientific theories and making conservation decisions. A general discussion of biodiversity is presented, highlighting its application both in scientific and conservation contexts, its relationship with environmental ethics, and existing approaches to its measurement. To overcome the limitations of existing biodiversity concepts, a new concept of biocomplexity is proposed. This concept equates the biodiversity of any biological system with its effective complexity. Biocomplexity is shown to be the only feasible measure of biodiversity that captures the essential features desired of a general biodiversity concept. In particular, it is a well-defined, measurable and strongly intrinsic property of any biological system. Finally, the practical application of biocomplexity is discussed.

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McElhinny, Chris. "Quantifying stand structural complexity in woodland and dry sclerophyll forest, South-Eastern Australia /." View thesis entry in Australian Digital Theses Program, 2005. http://thesis.anu.edu.au/public/adt-ANU20060322.133914/index.html.

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Rinaldo, Raphaëlle. "Certification, biocomplexité et valorisation des Lauracées de Guyane française." Thesis, Antilles-Guyane, 2012. http://www.theses.fr/2012AGUY0516/document.

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Face aux difficultés d’identification des arbres de la famille des Lauracées et dans un but d’établissement d’une production durable et certifiée d’huiles essentielles, l’entreprise KLR a voulu mettre en place un nouvel outil d’identification multi-critères qui consiste à croiser plusieurs types de caractères afin d’obtenir une détermination taxonomique fiable.Trois méthodes d’identification ont été utilisées : la chimie (analyse de l’odeur de l’écorce), le code barre génétique et l’anatomie du bois. Une analyse par positionnement multidimensionnel non-métrique a permis de faire un tri des critères anatomiques du bois pertinents dans l’identification des Lauracées étudiées, au final 14 critères ont été retenus. D’après les données anatomiques dont nous disposons, nous proposons une clé de détermination au genre. En génétique, la technique de code barres de la région chloroplastique intergénique trnH-psbA a été appliquée aux individus récoltés. En comparant les séquences de tous les individus, 40% des individus peuvent être identifiés au genre car ils présentent des haplotypes uniques. Des haplotypes au sein des genres ont été déterminés et permettent d’identifier l’espèce pour 40 à 100 % des individus selon le genre. L’analyse SPME de l’odeur des écorces a permis de définir pour chaque espèce une carte d’identité chimique à partir des molécules majoritaires. Des chémotypes ont été définis au sein des espèces Licaria cannella, Ocotea indirectinervia et Sextonia rubra. Ces trois domaines d’observation ont permis de constituer une base de type Xper2 pour l’identification.Un criblage des essences intéressantes de par leur rendement en huile essentielle a été effectué. En ce qui concerne la partie extraction de l’huile essentielle, trois espèces montrent un rendement en huile essentielle de l’écorce supérieur à 0,3% et 5 espèces montrent un rendement en huile essentielle du bois supérieur à 0,3%. Les évaluations olfactives menées par un expert ont permis de séparer les huiles distillées en 5 différentes notes. Nous avons jugé intéressant de savoir si l’outil d’identification multicritère pouvait prédire les compositions et rendements en huile essentielle de l’espèce identifiée avant l’abattage de l’arbre. Des études complémentaires ont donc été menées. Pour plus de la moitié des arbres, la signature de l’écorce, la composition de l’huile essentielle de l’écorce et la composition de l’huile essentielle du bois sont similaires. La tentative d’établir un lien entre les caractéristiques des cellules à huile et le rendement s’est avérée infructueuse
In order to develop a sustainable production of certified essential oils extracts, the compangy KLR has struggled with the identification of the trees from the family of Lauraceae. This is the main reason that led to the project of creating an identification tool for this family.This tool would be based on three approaches: chemistry (chemical signature of the dark), wood anatomy and genetic barcoding. By means of a non-metric multidimensional scaling analysis, we selected a list of 14 relevant wood anatomical features that can identify the trees to the genera. For the genetics, the barcoding of trnH-psbA an intergenic region of the DNA has been used. When comparing all the sequences from all the individuals, 40% of the individuals can be identified to the genera because of their specific haplotype. Haplotypes within the genera have also been established. Chemical identity cards have been set with the SPME analysis technique and chemotypes have been defined inside the species Licaria cannella, Ocotea indirectinervia and Sextonia rubra. These three identification approaches allowed us to construct an identification tool on Xper².During the study, we aimed to screen what species would be interesting for its essential oil yield. Three species showed an essential oil bark yield above 0.3%. five species showed an essential oil wood yield above 0.3%. An expert held an olfactory evaluation on the oils and divided the essential oils in five olfactory groups. We found it relevant to improve the identification tool by trying to predict the compositions of the oils before the three was cut down. In the case of the half of trees studied by SPME analyses, the composition of the wood and the bark essential oils were similar. On the other hand, no link was found between the oil cells dimensions and the essential oil yield

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Mahmoodi, Korosh. "Emergence of Cooperation and Homeodynamics as a Result of Self Organized Temporal Criticality: From Biology to Physics." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1248467/.

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This dissertation is an attempt at establishing a bridge between biology and physics leading naturally from the field of phase transitions in physics to the cooperative nature of living systems. We show that this aim can be realized by supplementing the current field of evolutionary game theory with a new form of self-organized temporal criticality. In the case of ordinary criticality, the units of a system choosing either cooperation or defection under the influence of the choices done by their nearest neighbors, undergo a significant change of behavior when the intensity of social influence has a critical value. At criticality, the behavior of the individual units is correlated with that of all other units, in addition to the behavior of the nearest neighbors. The spontaneous transition to criticality of this work is realized as follows: the units change their behavior (defection or cooperation) under the social influence of their nearest neighbors and update the intensity of their social influence spontaneously by the feedback they get from the payoffs of the game (environment). If units, which are selfish, get higher benefit with respect to their previous play, they increase their interest to interact with other units and vice versa. Doing this, the behavior of single units and the whole system spontaneously evolve towards criticality, thereby realizing a global behavior favoring cooperation. In the case when the interacting units are oscillators with their own periodicity, homeodynamics concerns, the individual payoff is the synchronization with the nearest neighbors (i.e., lowering the energy of the system), the spontaneous transition to criticality generates fluctuations characterized by the joint action of periodicity and crucial events of the same kind as those revealed by the current analysis of the dynamics of the brain. This result is expected to explain the efficiency of enzyme catalyzers, on the basis of a new non-equilibrium statistical physics. We argue that the results obtained apply to sociological and psychological systems as well as to elementary biological systems.

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Books on the topic "Biocomplexity"

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Reguera, D., J. M. G. Vilar, and J. M. Rubí, eds. Statistical Mechanics of Biocomplexity. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/bfb0105002.

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Southworth, Darlene, ed. Biocomplexity of Plant-Fungal Interactions. Oxford, UK: Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781118314364.

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Björk, Robert G. Snowbed biocomplexity: A journey from community to landscape. Göteborg: Göteborg University, Faculty of Science, 2007.

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Björk, Robert G. Snowbed biocomplexity: A journey from community to landscape. Göteborg: Göteborg University, Faculty of Science, 2007.

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Bernardo, Mirko Di. I sentieri evolutivi della complessità biologica nell'opera di S. A. Kauffman. Milano: Mimesis, 2011.

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Jirousová, Františka. Teilhard de Chardin's theory of spiritual evolution. Woodbridge, Connecticut]: American Teilhard Association, 2015.

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Seminario su "Problemi emergenti sulla evoluzione della vita" (2010 Bologna, Italy). Complessità, evoluzione, uomo. Milano: Jaca book, 2011.

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Bilotta, Eleonora. Cellular automata and complex systems: Methods for modeling biological phenomena. Hershey, PA: Medical Information Science Reference, 2010.

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Bilotta, Eleonora. Cellular automata and complex systems: Methods for modeling biological phenomena. Hershey, PA: Medical Information Science Reference, 2010.

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Orsucci, Franco, and Nicoletta Sala. Complexity science, living systems, and reflexing interfaces: New models and perspectives. Hershey, PA: Information Science Reference, 2013.

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Book chapters on the topic "Biocomplexity"

1

Krapivin, Vladimir F., and Anatolij M. Shutko. "Survivability and biocomplexity." In Information Technologies for Remote Monitoring of the Environment, 73–117. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-20567-5_2.

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Irwin, Louis Neal, and Dirk Schulze-Makuch. "Biocomplexity in the Cosmos." In Cosmic Biology, 273–94. New York, NY: Praxis, 2010. http://dx.doi.org/10.1007/978-1-4419-1647-1_12.

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Fitzhugh, Ben. "The Kuril Biocomplexity Project." In Engaging Archaeology, 61–69. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119240549.ch7.

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Van den Broeck, C., P. Reimann, R. Kawai, and P. Hänggi. "Coupled Brownian motors." In Statistical Mechanics of Biocomplexity, 93–111. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/bfb0105010.

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de Almeida, R. M. C. "A population dynamics approach to biological aging." In Statistical Mechanics of Biocomplexity, 165–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/bfb0105014.

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Cartwright, Julyan H. E., Diego L. González, and Oreste Piro. "A new nonlinear model for pitch perception." In Statistical Mechanics of Biocomplexity, 205–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/bfb0105019.

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Southworth, Darlene. "Introduction." In Biocomplexity of Plant-Fungal Interactions, 1–4. Oxford, UK: Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781118314364.ch.

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Krings, Michael, Thomas N. Taylor, and Nora Dotzler. "Fungal Endophytes as a Driving Force in Land Plant Evolution: Evidence from the Fossil Record." In Biocomplexity of Plant-Fungal Interactions, 5–27. Oxford, UK: Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781118314364.ch1.

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Southworth, Darlene. "Defining Complex Interactions Between Plants and Fungi." In Biocomplexity of Plant-Fungal Interactions, 205–13. Oxford, UK: Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781118314364.ch10.

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Plett, Jonathan M., and Francis Martin. "Molecular Interactions in Mycorrhizal Development." In Biocomplexity of Plant-Fungal Interactions, 29–58. Oxford, UK: Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781118314364.ch2.

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Conference papers on the topic "Biocomplexity"

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Heidorn, P. Bryan. "Biodiversity and biocomplexity informatics." In the second ACM/IEEE-CS joint conference. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/544220.544312.

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Akay, M. "Biocomplexity Of Respiratory Neural Network During Early Maturation." In 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference. IEEE, 2005. http://dx.doi.org/10.1109/iembs.2005.1616524.

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Zomaya, Albert Y. "Exploring Biocomplexity: New Challenges for High Performance Computing." In Eighth International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2007). IEEE, 2007. http://dx.doi.org/10.1109/pdcat.2007.4420134.

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Zomaya, Albert Y. "Exploring Biocomplexity: New Challenges for High Performance Computing." In Eighth International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2007). IEEE, 2007. http://dx.doi.org/10.1109/pdcat.2007.88.

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AKAY, METIN. "BIOCOMPLEXITY OF RESPIRATORY NEURAL NETWORK DURING EUPNEA GASPING AND HYPERCAPNIA." In Proceedings of the Seventh International Workshop. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812773197_0027.

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Mkrtchyan, Ferdenant A., and Vladimir F. Krapivin. "Microwave Radiometry Technology for the Nature-Society System Biocomplexity Assessment." In 2007 Urban Remote Sensing Joint Event. IEEE, 2007. http://dx.doi.org/10.1109/urs.2007.371795.

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Khanna, Vikas, and Bhavik R. Bakshi. "Integrated multiscale modeling of economic-environmental systems for assessing Biocomplexity of material use." In 2010 IEEE International Symposium on Sustainable Systems and Technology (ISSST). IEEE, 2010. http://dx.doi.org/10.1109/issst.2010.5507702.

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Reports on the topic "Biocomplexity"

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Zchori-Fein, Einat, Judith K. Brown, and Nurit Katzir. Biocomplexity and Selective modulation of whitefly symbiotic composition. United States Department of Agriculture, June 2006. http://dx.doi.org/10.32747/2006.7591733.bard.

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Abstract:

Whiteflies are sap-sucking insects that harbor obligatory symbiotic bacteria to fulfill their dietary needs, as well as a facultative microbial community with diverse bacterial species. The sweetpotato whitefly Bemisia tabaci (Gennadius) is a severe agricultural pest in many parts of the world. This speciesconsists of several biotypes that have been distinguished largely on the basis of biochemical or molecular diagnostics, but whose biological significance is still unclear. The original objectives of the project were (i) to identify the specific complement of prokaryotic endosymbionts associated with select, well-studied, biologically and phylogeographically representative biotypes of B. tabaci, and (ii) to attempt to 'cure’ select biotypes of certain symbionts to permit assessment of the affect of curing on whitefly fitness, gene flow, host plant preference, and virus transmission competency.To identify the diversity of bacterial community associated with a suite of phylogeographically-diverseB. tabaci, a total of 107 populations were screened using general Bacteria primers for the 16S rRNA encoding gene in a PCR. Sequence comparisons with the available databases revealed the presence of bacteria classified in the: Proteobacteria (66%), Firmicutes (25.70%), Actinobacteria (3.7%), Chlamydiae (2.75%) and Bacteroidetes (<1%). Among previously identified bacteria, such as the primary symbiont Portiera aleyrodidarum, and the secondary symbionts Hamiltonella, Cardinium and Wolbachia, a Rickettsia sp. was detected for the first time in this insect family. The distribution, transmission, and localization of the Rickettsia were studied using PCR and fluorescence in situ hybridization (FISH). Rickettsia was found in all 20 Israeli B. tabaci populations screened as well as some populations screened in the Arizona laboratory, but not in all individuals within each population. FISH analysis of B. tabaci eggs, nymphs and adults, revealed a unique concentration of Rickettsia around the gut and follicle cells as well as its random distribution in the haemolymph, but absence from the primary symbiont housing cells, the bacteriocytes. Rickettsia vertical transmission on the one hand and its partial within-population infection on the other suggest a phenotype that is advantageous under certain conditions but may be deleterious enough to prevent fixation under others.To test for the possible involvement of Wolbachia and Cardiniumin the reproductive isolation of different B. tabacibiotypes, reciprocal crosses were preformed among populations of the Cardinium-infected, Wolbachia-infected and uninfected populations. The crosses results demonstrated that phylogeographically divergent B. tabaci are reproductively competent and that cytoplasmic incompatibility inducer-bacteria (Wolbachia and Cardinium) both interfered with, and/or rescued CI induced by one another, effectively facilitating bidirectional female offspring production in the latter scenario.This knowledge has implications to multitrophic interactions, gene flow, speciation, fitness, natural enemy interactions, and possibly, host preference and virus transmission. Although extensive and creative attempts undertaken in both laboratories to cure whiteflies of non-primary symbionts have failed, our finding of naturally uninfected individuals have permitted the establishment of Rickettsia-, Wolbachia- and Cardinium-freeB. tabaci lines, which are been employed to address various biological questions, including determining the role of these bacteria in whitefly host biology.

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