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Highly Mutable Animal RNA Viruses: Adaptation and Evolution

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889453481 Year: Pages: 419 DOI: 10.3389/978-2-88945-348-1 Language: English
Publisher: Frontiers Media SA
Subject: Science (General) --- Microbiology
Added to DOAB on : 2018-02-27 16:16:45
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Viruses are widely present in nature, and numerous viral species with a variety of unique characteristics have been identified so far. Even now, new emerging or re-emerging viruses are being found or re-found as novel viral classes or as quasi-species. Indeed, viruses are everywhere. Of note, viruses are pivotal as targets and tools of basic and applied sciences. On one hand, portions of the viruses are infectious for animals including humans, and cause various diseases in infected hosts by distinct mechanisms and at a different level of severity. While many of viruses are known to co-exist quietly with their hosts, pathogenic viruses certainly affect and threaten our society as well as individuals to provoke serious medical or economic attention. We should act against certain dreadful and highly infectious viruses as a global problem. Animal RNA viruses can readily mutate to adapt themselves in their hostile environments for their survival. Resultant viruses may sometimes show essentially altered phenotypes from the original parental strains. This fundamental and general property of animal RNA viruses represents major extensive issues of scientific, medical, and/or economic importance. In this Research Topic, we have focused on the high mutability of animal RNA viruses, and selected relevant articles on animal viruses of broad-ranges such as primate lentiviruses, influenza viruses, paramyxoviruses, flaviviruses, rabies virus, norovirus, picornaviruses, and picobirnavirus. Each article has taken up intriguing aspects of the subject viruses. We are sure that readers acquire important information on virus mutation, adaptation, diversification, and evolution, and hope that researchers in the field related to virology gain some solid hints from the reported articles for further virological and /or medical studies. Finally, we thank all the contributing researchers in this Research Topic, entitled “Highly Mutable Animal RNA Viruses: Adaptation and Evolution”, for their elegant and interesting works.

Global Indigeneities and the Environment

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ISBN: 9783038422402 9783038422419 Year: Pages: XII, 244 DOI: 10.3390/books978-3-03842-241-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Environmental Sciences
Added to DOAB on : 2016-09-12 09:15:53
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Global Indigeneities and the Environment—covering fields from American Indian Studies, anthropology, communications, ethnoecology, ethnomusicology, geography, global studies, history, and literature, the purpose of the Special Issue is to give new understandings of the concept of global indigeneities and to showcase some of the most promising work in the field to date.

Growth and Ecosystem Services of Urban Trees

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ISBN: 9783039215928 / 9783039215935 Year: Pages: 170 DOI: 10.3390/books978-3-03921-593-5 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Ecology
Added to DOAB on : 2019-12-09 11:49:16
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Numerous studies indicate an accelerated growth of forest trees, induced by ongoing climate change. Similar trends were recently found for urban trees in major cities worldwide. Studies frequently report about substantial effects of climate change and the urban heat island effect (UHI) on plant growth. The combined effects of increasing temperatures, changing precipitation patterns, and extended growing season lengths, in addition to increasing nitrogen deposition and higher CO2 concentrations, can increase but also reduce plant growth. Closely related to this, the multiple functions and services provided by urban trees may be modified. Urban trees generate numerous ecosystem services, including carbon storage, mitigation of the heat island effect, reduction of rainwater runoff, pollutant filtering, recreation effects, shading, and cooling. The quantity of the ecosystem services is often closely associated with the species, structure, age, and size of the tree as well as with a tree’s vitality. Therefore, greening cities, and particularly planting trees, seems to be an effective option to mitigate climate change and the UHI. The focus of this Special Issue is to underline the importance of trees as part of the urban green areas for major cities in all climate zones. Empirical as well as modeling studies of urban tree growth and their services and disservices in cities worldwide are included. Articles about the dynamics, structures, and functions of urban trees as well as the influence of climate and climate change on urban tree growth, urban species composition, carbon storage, and biodiversity are also discussed.

Tropical Forest Ecology and Management for the Anthropocene

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ISBN: 9783039219643 / 9783039219650 Year: Pages: 242 DOI: 10.3390/books978-3-03921-965-0 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General)
Added to DOAB on : 2020-01-07 09:08:26
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This Special Issue looks forward as well as backward to best analyze the forest conservation challenges of the Caribbean. This is made possible by 75 years of research and applications by the United States Department of Agriculture, International Institute of Tropical Forestry (the Institute) of Puerto Rico. It transforms Holocene-based scientific paradigms of the tropics into Anthropocene applications and outlooks of wilderness, managed forests, and urban environments. This volume showcases how the focus of the Institute’s programs is evolving to support sustainable tropical forest conservation despite uncertain conditions. The manuscripts showcased here highlight the importance of shared stewardship and a long-term, hands-on approach to conservation, research programs, and novel organizations intended to meet contemporary conservation challenges. Policies relevant to the Anthropocene, as well as the use of experiments to anticipate future responses of tropical forests to global warming, are reexamined in these pages. Urban topics include how cities can co-produce new knowledge to spark sustainable and resilient transformations. Long-term results and research applications of topics such as soil biota, migratory birds, tropical vegetation, substrate chemistry, and the tropical carbon cycle are also described in the volume. Moreover, the question of how to best use land on a tropical island is addressed. This volume is intended to be of interest to all actors involved in long-term sustainable forest management and research in light of the historical lessons and future directions that may come out of a better understanding of tropical cities and forests in the Anthropocene epoch.

Keywords

Anthropocene --- Forest Service --- vision --- contemporary conservation --- biomass --- allometry --- volume expansion factors --- soil organic carbon --- tropical forest area --- forest inventory data --- novel forests --- tree plantations --- secondary forests --- mature forests --- dry tropical forests --- humid tropical forests --- tropical deforestation --- annual cycle --- carry over effects --- climate change --- Guánica --- Nearctic-Neotropical --- novel forests --- stoichiometry of leaf litter --- nitrogen fixing trees --- naturalized species --- C/N --- C/P --- and N/P ratios --- Puerto Rico --- Caribbean --- element concentration in leaf litter --- succession --- species dominance --- tropical forests --- invertebrates --- microbiota --- soil biota --- litter --- wood --- latitude --- elevation --- disturbance --- gradients --- tropical karst --- element concentration --- N/P ratios --- Ca/Al relationship --- ?13C --- ?15N --- knowledge co-production --- idiom of co-production --- knowledge infrastructures --- knowledge systems --- knowledge systems analysis --- cities --- land use governance --- Anthropocene --- disturbance --- hurricane --- succession --- long-term --- basal area --- species composition --- trees --- tropical --- Luquillo Experimental Forest --- Caribbean --- land use planning --- tropical agriculture --- tropical forests --- geospatial analyses --- n/a --- landscape conservation --- network governance --- strategic teams --- communications --- leadership --- adaptive management --- tropical forest --- Anthropocene --- U.S. Forest Service Planning Rule --- El Yunque National Forest --- Luquillo Experimental Forest --- introduced species --- leaf C and N densities --- novel forests --- photosynthetic nitrogen use-efficiency --- leaf mass per area --- Tropical Forestry Research --- Long-Term Ecological Research --- Tropical Forest Management --- Tropical Forest Conservation --- Luquillo Experimental Forest --- tropical --- experiments --- manipulations --- large-scale --- Puerto Rico --- Caribbean --- conservation --- American tropics --- long-term ecological research --- tropical forest management --- Anthropocene --- Puerto Rico

Causes and Consequences of Species Diversity in Forest Ecosystems

Authors: ---
ISBN: 9783039213092 / 9783039213108 Year: Pages: 272 DOI: 10.3390/books978-3-03921-310-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Geography
Added to DOAB on : 2019-08-28 11:21:27
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What are the causes and consequences of species diversity in forested ecosystems, and how is this species diversity being affected by rapid environmental and climatic change, movement of invertebrate and vertebrate herbivores into new biogeographic regions, and expanding human populations and associated shifts in land-use patterns? In this book, we explore these questions for assemblages of forest trees, shrubs, and understory herbs at spatial scales ranging from small plots to large forest dynamics plots, at temporal scales ranging from seasons to centuries, in both temperate and tropical regions, and across rural-to-urban gradients in land use.

Keywords

Ericaceae --- variation partitioning --- climate --- species-area relationship --- mid-domain effect --- spatial patterns --- individual species-area relationship --- tropical evergreen mixed forest --- competition and facilitation --- Vietnam --- microarthropod --- diversity --- seasonal variations --- stand development --- biodiversity --- climate --- human footprint --- productivity --- topography --- USDA Forest Service --- herbaceous layer --- excess nitrogen --- canopy structure --- temperate forests --- Fagus sylvatica --- Pinus sylvestris --- Picea abies --- Pseudotsuga menziesii --- forest management --- tree species diversity --- forest conversion --- gamma diversity --- landscape scale --- Biodiversity Exploratories --- climate change --- temperature --- precipitation --- Hubbard Brook --- elevational shifts --- mountains --- species diversity --- structural complexity --- legacies --- wind damage --- uprooting --- trunk breakage --- understory plant communities --- natural disturbance-based silviculture --- forest management --- species conservation --- northern hardwood forests --- abundance --- Bray-Curtis --- codispersion analysis --- Smithsonian ForestGEO --- Shannon diversity --- Simpson diversity --- spatial analysis --- species richness --- windthrow --- tornado --- tree species --- disturbance severity --- tree regeneration --- salvaging --- salvage logging --- succession --- Climatic change --- species diversity --- potential habitats --- China --- Maxent --- Salicaceae --- herbaceous perennial species --- household respondents --- questionnaire survey --- species richness --- woody species --- temperate forests --- species richness --- assemblage lineage diversity --- phylogenetic diversity --- evolutionary diversity --- United States --- trees --- TILD

Participatory Forestry: Involvement, Information and Science

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ISBN: 9783039213313 / 9783039213320 Year: Pages: 250 DOI: 10.3390/books978-3-03921-332-0 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General)
Added to DOAB on : 2019-12-09 11:49:15
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Public participation in forestry is a key issue in ensuring the democratization of decision-making processes, increasing the social acceptance of policies, and reducing conflicts between forest users. Public participation also provides an opportunity for the improvement of the quality of information, public debate, personal reflection, and professionalization, raising awareness. Participation in forestry implies the involvement of stakeholders (the interest group participation approach) and/or the involvement of people (the direct citizen participation approach) in the decision-making process. Since the UN Conference on Environment and Development (1992), new norms and perspectives have emerged encouraging a bottom-up approach in forest governance. Consequently, several participatory techniques, methods, and tools for stakeholder involvement in forest governance have been developed and applied. These different experiences allow us to learn from failures and successes and contribute to knowledge improvement. The future challenges of participatory forestry deal with adaptation to changes in ecological, social, and economic contexts.

Afforestation and Reforestation: Drivers, Dynamics, and Impacts

Authors: --- --- --- --- et al.
ISBN: 9783039214471 / 9783039214488 Year: Pages: 194 DOI: 10.3390/books978-3-03921-448-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Forestry
Added to DOAB on : 2019-12-09 11:49:15
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Afforestation/reforestation (or forestation) has been implemented worldwide as an effective measure towards sustainable ecosystem services and addresses global environmental problems such as climate change. The conversion of grasslands, croplands, shrublands, or bare lands to forests can dramatically alter forest water, energy, and carbon cycles and, thus, ecosystem services (e.g., carbon sequestration, soil erosion control, and water quality improvement). Large-scale afforestation/reforestation is typically driven by policies and, in turn, can also have substantial socioeconomic impacts. To enable success, forestation endeavors require novel approaches that involve a series of complex processes and interdisciplinary sciences. For example, exotic or fast-growing tree species are often used to improve soil conditions of degraded lands or maximize productivity, and it often takes a long time to understand and quantify the consequences of such practices at watershed or regional scales. Maintaining the sustainability of man-made forests is becoming increasingly challenging under a changing environment and disturbance regime changes such as wildland fires, urbanization, drought, air pollution, climate change, and socioeconomic change. Therefore, this Special Issue focuses on case studies of the drivers, dynamics, and impacts of afforestation/reforestation at regional, national, or global scales. These new studies provide an update on the scientific advances related to forestation. This information is urgently needed by land managers and policy makers to better manage forest resources in today’s rapidly changing environments.

3D Remote Sensing Applications in Forest Ecology: Composition, Structure and Function

Authors: ---
ISBN: 9783039217823 / 9783039217830 Year: Pages: 188 DOI: 10.3390/books978-3-03921-783-0 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Ecology
Added to DOAB on : 2019-12-09 11:49:16
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Dear Colleagues, The composition, structure and function of forest ecosystems are the key features characterizing their ecological properties, and can thus be crucially shaped and changed by various biotic and abiotic factors on multiple spatial scales. The magnitude and extent of these changes in recent decades calls for enhanced mitigation and adaption measures. Remote sensing data and methods are the main complementary sources of up-to-date synoptic and objective information of forest ecology. Due to the inherent 3D nature of forest ecosystems, the analysis of 3D sources of remote sensing data is considered to be most appropriate for recreating the forest’s compositional, structural and functional dynamics. In this Special Issue of Forests, we published a set of state-of-the-art scientific works including experimental studies, methodological developments and model validations, all dealing with the general topic of 3D remote sensing-assisted applications in forest ecology. We showed applications in forest ecology from a broad collection of method and sensor combinations, including fusion schemes. All in all, the studies and their focuses are as broad as a forest’s ecology or the field of remote sensing and, thus, reflect the very diverse usages and directions toward which future research and practice will be directed.

Multi-Agent Systems

Authors: --- --- ---
ISBN: 9783038979241 / 9783038979258 Year: Pages: 392 DOI: 10.3390/books978-3-03897-925-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 10:09:00
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This Special Issue ""Multi-Agent Systems"" gathers original research articles reporting results on the steadily growing area of agent-oriented computing and multi-agent systems technologies. After more than 20 years of academic research on multi-agent systems (MASs), in fact, agent-oriented models and technologies have been promoted as the most suitable candidates for the design and development of distributed and intelligent applications in complex and dynamic environments. With respect to both their quality and range, the papers in this Special Issue already represent a meaningful sample of the most recent advancements in the field of agent-oriented models and technologies. In particular, the 17 contributions cover agent-based modeling and simulation, situated multi-agent systems, socio-technical multi-agent systems, and semantic technologies applied to multi-agent systems. In fact, it is surprising to witness how such a limited portion of MAS research already highlights the most relevant usage of agent-based models and technologies, as well as their most appreciated characteristics. We are thus confident that the readers of Applied Sciences will be able to appreciate the growing role that MASs will play in the design and development of the next generation of complex intelligent systems. This Special Issue has been converted into a yearly series, for which a new call for papers is already available at the Applied Sciences journal’s website: https://www.mdpi.com/journal/applsci/special_issues/Multi-Agent_Systems_2019.

Keywords

scaled consensus --- delay --- formation tracking --- multi-agent system --- collision avoidance --- multiple passive agents --- Mobile Robot Navigation --- pedestrian environment --- kinodynamic planning --- velocity obstacle --- agent-based modeling --- complex network --- multi-agent system --- network management --- [-5]agent-based simulation --- agent-based social simulation --- multi-agent system --- agent-oriented software engineering --- sociogram --- agent technology --- organizational model --- agent behavior --- travel behavior --- commuting --- carpooling --- online double auction --- mechanism design --- perishable goods --- multi-agent simulation --- bike sharing systems (BSS) --- regression models --- open data --- data visualization --- multi agent systems --- organizations and institutions --- socio-technical systems --- multi-agent systems --- electric vehicles --- charging stations --- genetic algorithm --- multi-agent system --- agent-based simulation --- 3D representation --- human-machine interaction --- ambient intelligence --- user interaction levels --- intelligent agents --- intelligent hybrid systems --- type-2 fuzzy inference system --- methodologies for agent-based systems --- organizations and institutions --- socio–technical systems --- computational accountability --- social commitments --- agent-based programming --- multi-agent system --- BDI agents --- model-driven development --- agent development methodology --- semantic web service --- ontology --- SEA_ML --- electronic bartering system --- ambient intelligence --- cognitive disabilities --- mobile communication --- orientation --- person tracking --- trajectory mining --- agreement technologies --- coordination models --- multiagent systems --- smart cities --- surface vehicle --- underactuated vehicle --- RBFNNs --- directed graph --- coordinated control --- Behavior Trees (BTs) --- Genetic Programming (GP) --- autonomous agents --- behavior modeling --- tree mining --- agent development framework --- mobile device agent --- linked data --- semantic web --- multi-agent systems --- agent-based modelling --- agent-based simulation --- agent-oriented technologies --- coordination --- Artificial Intelligence --- computer science --- multi-agent systems --- agent methodologies --- agent-based simulation --- ambient intelligence --- smart cities

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

Authors: ---
ISBN: 9783039212156 / 9783039212163 Year: Pages: 438 DOI: 10.3390/books978-3-03921-216-3 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Mechanical Engineering
Added to DOAB on : 2019-12-09 11:49:15
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As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.

Keywords

landslide --- bagging ensemble --- Logistic Model Trees --- GIS --- Vietnam --- colorization --- random forest regression --- grayscale aerial image --- change detection --- gully erosion --- environmental variables --- data mining techniques --- SCAI --- GIS --- mapping --- single-class data descriptors --- materia medica resource --- Panax notoginseng --- one-class classifiers --- geoherb --- change detection --- convolutional network --- deep learning --- panchromatic --- remote sensing --- remote sensing image segmentation --- convolutional neural networks --- Gaofen-2 --- hybrid structure convolutional neural networks --- winter wheat spatial distribution --- classification-based learning --- real-time precise point positioning --- convergence time --- ionospheric delay constraints --- precise weighting --- landslide --- weights of evidence --- logistic regression --- random forest --- hybrid model --- traffic CO --- traffic CO prediction --- neural networks --- GIS --- land use/land cover (LULC) --- unmanned aerial vehicle --- texture --- gray-level co-occurrence matrix --- machine learning --- crop --- landslide susceptibility --- random forest --- boosted regression tree --- information gain --- landslide susceptibility map --- ALS point cloud --- multi-scale --- classification --- large scene --- coarse particle --- particulate matter 10 (PM10) --- landsat image --- machine learning --- support vector machine --- high-resolution --- optical remote sensing --- object detection --- deep learning --- transfer learning --- land subsidence --- Bayes net --- naïve Bayes --- logistic --- multilayer perceptron --- logit boost --- change detection --- convolutional network --- deep learning --- panchromatic --- remote sensing --- leaf area index (LAI) --- machine learning --- Sentinel-2 --- sensitivity analysis --- training sample size --- spectral bands --- spatial sparse recovery --- constrained spatial smoothing --- spatial spline regression --- alternating direction method of multipliers --- landslide prediction --- machine learning --- neural networks --- model switching --- spatial predictive models --- predictive accuracy --- model assessment --- variable selection --- feature selection --- model validation --- spatial predictions --- reproducible research --- Qaidam Basin --- remote sensing --- TRMM --- artificial neural network --- n/a

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