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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.

Field Guide for the Identification of Damage on Woody Sentinel Plants

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ISBN: 9781786394408; 9781786394415 Year: Pages: 292 Language: English
Publisher: CABI
Subject: Agriculture (General) --- Forestry --- Botany
Added to DOAB on : 2020-10-16 15:03:26
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This guide is intended as an aid for managers of sentinel plantings, botanical gardens or arboreta, as well as phytosanitary inspectors, who may have knowledge of common pests and diseases of woody plants, but may not know the likely cause of damage that they have not encountered before. It aims to provide a tentative identification of relatively broad groups of organisms and not definitive identification of the causal agents. Hence, the pictures in this guide need to be regarded as typical examples of the described symptoms. There are chapters that explain how to use the guide, followed by keys (for different organs of conifer and broadleaf species) to guide the user to the relevant sections of the book, based on the questions entomologists and pathologists ask themselves when looking at a damaged or diseased tree in a fashion similar to how a doctor interrogates a patient to arrive at a diagnosis. The largest part of the book is devoted to the description and illustration of damage types and typical causes of the observed damage. The last chapters provide instructions for taking and preserving samples for further identification by an expert, notification of relevant authorities, and a glossary.

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: English
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.

Agroforestry Systems: The Role of Trees in Ecosystem Services—A Special Issue in Collaboration with the 4th World Congress on Agroforestry

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ISBN: 9783039281640 / 9783039281657 Year: Pages: 184 DOI: 10.3390/books978-3-03928-165-7 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Agriculture (General)
Added to DOAB on : 2020-06-09 16:38:57
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Planting trees in the agricultural landscape, in the form of establishing agroforestry systems, has a significant role to play in potentially improving ecosystem services, such as increased biodiversity, reduced soil erosion, increased soil carbon storage, improved food security and nutrition, and reduced greenhouse gas emissions. While the role of trees in agroforestry systems in improving ecosystem services has been researched, studies in new systems/regions and new agroforestry system designs are still emerging. This Special Issue includes selected papers presented at the 4th World Congress on Agroforestry, Montpellier, France 20–22 May 2019, and other volunteer papers. The scope of articles includes all aspects of agroforestry systems.

Claim Models: Granular Forms and Machine Learning Forms

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ISBN: 9783039286645 / 9783039286652 Year: Pages: 108 DOI: 10.3390/books978-3-03928-665-2 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Mechanical Engineering
Added to DOAB on : 2020-06-09 16:38:57
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This collection of articles addresses the most modern forms of loss reserving methodology: granular models and machine learning models. New methodologies come with questions about their applicability. These questions are discussed in one article, which focuses on the relative merits of granular and machine learning models. Others illustrate applications with real-world data. The examples include neural networks, which, though well known in some disciplines, have previously been limited in the actuarial literature. This volume expands on that literature, with specific attention to their application to loss reserving. For example, one of the articles introduces the application of neural networks of the gated recurrent unit form to the actuarial literature, whereas another uses a penalized neural network. Neural networks are not the only form of machine learning, and two other papers outline applications of gradient boosting and regression trees respectively. Both articles construct loss reserves at the individual claim level so that these models resemble granular models. One of these articles provides a practical application of the model to claim watching, the action of monitoring claim development and anticipating major features. Such watching can be used as an early warning system or for other administrative purposes. Overall, this volume is an extremely useful addition to the libraries of those working at the loss reserving frontier.

Long-Term Ecosystem Changes in Riparian Forests

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Book Series: Ecological Research Monographs ISBN: 9789811530098 Year: Pages: 234 DOI: 10.1007/978-981-15-3009-8 Language: English
Publisher: Springer Nature
Subject: Ecology --- Forestry --- Botany --- Environmental Sciences
Added to DOAB on : 2020-06-16 23:58:18
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This open access book presents and analyzes the results of more than 30 years of long-term ecological research in riparian forest ecosystems with the aim of casting light on changes in the dynamics of riparian forests over time. The research, focusing on the Ooyamazawa riparian forest, one of the remaining old-growth forests in Japan, has yielded a number of interesting outcomes. First, it shows that large-scale disturbances afford various trees opportunities for regeneration and are thus the driving force for the coexistence of canopy trees in riparian forests. Second, it identifies changes in reproductive patterns, highlighting that seed production has in fact quantitatively increased over the past two decades. Third, it describes the decline in forest floor vegetation caused by deer grazing and reveals how this decline has affected bird and insect populations. The book illustrates the interconnectedness of phenomena within an ecosystem and the resultant potential for cascade effects and also stresses the need for long-term ecological studies of climate change impacts on forests. It will be of interest to both professionals and academics in the field of forest science.

Remote Sensing Technology Applications in Forestry and REDD+

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ISBN: 9783039284702 9783039284719 Year: Pages: 244 DOI: 10.3390/books978-3-03928-471-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Environmental Technology
Added to DOAB on : 2020-04-07 23:07:09
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Advances in close-range and remote sensing technologies are driving innovations in forest resource assessments and monitoring on varying scales. Data acquired with airborne and spaceborne platforms provide high(er) spatial resolution, more frequent coverage, and more spectral information. Recent developments in ground-based sensors have advanced 3D measurements, low-cost permanent systems, and community-based monitoring of forests. The UNFCCC REDD+ mechanism has advanced the remote sensing community and the development of forest geospatial products that can be used by countries for the international reporting and national forest monitoring. However, an urgent need remains to better understand the options and limitations of remote and close-range sensing techniques in the field of forest degradation and forest change. Therefore, we invite scientists working on remote sensing technologies, close-range sensing, and field data to contribute to this Special Issue. Topics of interest include: (1) novel remote sensing applications that can meet the needs of forest resource information and REDD+ MRV, (2) case studies of applying remote sensing data for REDD+ MRV, (3) timeseries algorithms and methodologies for forest resource assessment on different spatial scales varying from the tree to the national level, and (4) novel close-range sensing applications that can support sustainable forestry and REDD+ MRV. We particularly welcome submissions on data fusion.

Keywords

sentinel imagery --- above-ground biomass --- predictive mapping --- machine learning --- geographically weighted regression --- canopy cover (CC) --- spectral --- texture --- digital hemispherical photograph (DHP) --- random forest (RF) --- gray level co-occurrence matrix (GLCM) --- forest inventory --- LiDAR --- tall trees --- overstory trees --- tree mapping --- crown delineation --- aboveground biomass --- Landsat --- random forest --- topography --- human activity --- aboveground biomass estimation --- remote sensing --- crown density --- low-accuracy estimation --- model comparison --- old-growth forest --- multispectral satellite imagery --- random forest --- forest classification --- remote sensing --- forestry --- phenology --- silviculture --- forest growing stock volume (GSV) --- full polarimetric SAR --- subtropical forest --- topographic effects --- environment effects --- geographic information system --- support vector machine --- random forest --- ensemble model --- hazard mapping --- 3D tree modelling --- aboveground biomass estimation --- destructive sampling --- Guyana --- LiDAR --- local tree allometry --- model evaluation --- quantitative structural model --- Pinus massoniana --- specific leaf area --- leaf area --- terrestrial laser scanning --- voxelization --- forest canopy --- REDD+ --- Cameroon --- reference level --- deforestation --- agriculture --- forest baseline --- airborne laser scanning --- terrestrial laser scanning --- remote sensing --- REDD+ --- forestry

Overcoming Data Scarcity in Earth Science

Authors: --- --- ---
ISBN: 9783039282104 / 9783039282111 Year: Pages: 94 DOI: 10.3390/books978-3-03928-211-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Environmental Engineering
Added to DOAB on : 2020-06-09 16:38:57
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heavily Environmental mathematical models represent one of the key aids for scientists to forecast, create, and evaluate complex scenarios. These models rely on the data collected by direct field observations. However, assembly of a functional and comprehensive dataset for any environmental variable is difficult, mainly because of i) the high cost of the monitoring campaigns and ii) the low reliability of measurements (e.g., due to occurrences of equipment malfunctions and/or issues related to equipment location). The lack of a sufficient amount of Earth science data may induce an inadequate representation of the response’s complexity in any environmental system to any type of input/change, both natural and human-induced. In such a case, before undertaking expensive studies to gather and analyze additional data, it is reasonable to first understand what enhancement in estimates of system performance would result if all the available data could be well exploited. Missing data imputation is an important task in cases where it is crucial to use all available data and not discard records with missing values. Different approaches are available to deal with missing data. Traditional statistical data completion methods are used in different domains to deal with single and multiple imputation problems. More recently, machine learning techniques, such as clustering and classification, have been proposed to complete missing data. This book showcases the body of knowledge that is aimed at improving the capacity to exploit the available data to better represent, understand, predict, and manage the behavior of environmental systems at all practical scales.

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: English
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

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