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  • Data Analysis in Vegetation Ecology
    Data Analysis in Vegetation Ecology

    The 3rd edition of this popular textbook introduces the reader to the investigation of vegetation systems with an emphasis on data analysis.The book succinctly illustrates the various paths leading to high quality data suitable for pattern recognition, pattern testing, static and dynamic modelling and model testing including spatial and temporal aspects of ecosystems.Step-by-step introductions using small examples lead to more demanding approaches illustrated by real world examples aimed at explaining interpretations.All data sets and examples described in the book are available online and are written using the freely available statistical package R.This book will be of particular value to beginning graduate students and postdoctoral researchers of vegetation ecology, ecological data analysis, and ecological modelling, and experienced researchers needing a guide to new methods.A completely revised and updated edition of this popular introduction to data analysis in vegetation ecology.Includes practical step-by-step examples using the freely available statistical package R.Complex concepts and operations are explained using clear illustrations and case studies relating to real world phenomena.Emphasizes method selection rather than just giving a set of recipes.

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  • Plants in Science Fiction : Speculative Vegetation
    Plants in Science Fiction : Speculative Vegetation

    Plants have played key roles in science fiction novels, graphic novels and film.John Wyndham’s triffids, Algernon Blackwood’s willows and Han Kang’s sprouting woman are just a few examples.Plants surround us, sustain us, pique our imaginations and inhabit our metaphors – but in many ways they remain opaque.The scope of their alienation is as broad as their biodiversity. And yet, literary reflections of plant-life are driven, as are many threads of science fictional inquiry, by the concerns of today.Plants in Science Fiction is the first-ever collected volume on plants in science fiction, and its original essays argue that plant-life in SF is transforming our attitudes toward morality, politics, economics and cultural life at large – questioning and shifting our understandings of institutions, nations, borders and boundaries; erecting and dismantling new visions of utopian and dystopian futures.

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  • Water-Soil-Vegetation Nexus and Climate Change
    Water-Soil-Vegetation Nexus and Climate Change

    Water-Soil-Vegetation Nexus and Climate Change presents an overview of research needs and approaches regarding water-soil-vegetation nexus and climate change.The book includes chapters discussing water budget and factors that affect hydrologic processes such as precipitation, runoff, infiltration, evapotranspiration, soil water, and groundwater, in addition to a focus on consumptive (e.g., domestic and irrigation) and non-consumptive (e.g., eco-environmental) water uses, and water shortage.Throughout the book, chapters specifically deal with the fundamental principles and also case studies, applications, and decision support tools that can be usable for developing practical management measures in sustaining our eco-environment and society by maintaining an optimal water-soil-vegetation equilibrium. Written with water resources students and professors in mind, this book will provide the reader with further knowledge on the water-soil-vegetation nexus and its connection to climate change.

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  • Subtropical Mountain Forests of Las Yungas: Vegetation and Bioclimate
    Subtropical Mountain Forests of Las Yungas: Vegetation and Bioclimate

    The vegetation addressed in this book is, biologically, one of the most diverse on Earth, with many characteristic taxa offering refuge and food sources for many resident and migratory animals.Yet the forests of Las Yungas remain poorly known from a floristic and vegetation point of view.This book seeks to fill that gap by studying the distribution of forest along an altitudinal but also a bioclimatic gradient.The richness in species demonstrates that these forests are substantially more diverse than other subtropical mountain woodlands. 103 diagnostic (characteristic or indicator) species were selected, of which 29 are dominant, 67 are exclusive, selective, preferential or differential, and 7 are stenoic.In addition, 13 communities were identified and characterized.These forests can be attributed to the Bolivian-Tucuman biogeographical province (South-Andean Region, Neotropical Sub-Kingdom).They are seasonal, semi-deciduous or evergreen micro- and mesowoodlandsgrowing on foothills, hillsides, ravines, gorges and the edges of mountain ranges (terrestrial communities), as well as river terraces and beaches (riparian communities).Thanks to the range of new findings, the content presented here will benefit experts in related fields such as geographers, ecologists and botanists, but also teachers, nature guides, those involved in the management of forest or conservation areas, and policymakers.

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  • What are zonal vegetation and azonal vegetation?

    Zonal vegetation refers to the natural plant communities that are determined by climate, soil, and topography in a particular region. These vegetation types are well-adapted to the local environmental conditions and are characteristic of that specific zone. On the other hand, azonal vegetation refers to plant communities that are not directly influenced by the local environmental factors and are found in areas where the zonal vegetation cannot grow, such as wetlands, rocky areas, or disturbed habitats. Azonal vegetation is often less diverse and may consist of pioneer species that are able to colonize these challenging environments.

  • What is vegetation?

    Vegetation refers to the plant life that covers a particular area, ranging from grasses and shrubs to trees and other forms of plant life. It plays a crucial role in maintaining the ecological balance of an ecosystem by providing habitats for animals, regulating the climate, and preventing soil erosion. Vegetation can vary greatly depending on factors such as climate, soil type, and altitude, leading to a wide diversity of plant species across different regions.

  • In which vegetation zone is the vegetation the least abundant?

    The vegetation is the least abundant in the desert vegetation zone. Deserts typically have very low levels of precipitation, resulting in sparse plant life. The extreme temperatures and lack of water make it difficult for plants to thrive in this environment. As a result, deserts are characterized by vast stretches of barren land with minimal vegetation.

  • What is vegetation in geography?

    In geography, vegetation refers to the plant life that covers a particular area. It includes all the different types of plants, from grasses and shrubs to trees and other forms of flora. Vegetation is an important aspect of geography as it can indicate the climate, soil type, and overall environmental conditions of a region. Geographers study vegetation to understand the distribution and characteristics of different plant communities and their impact on the landscape.

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  • The Pattern Book Geology & Vegetation of Britain Map Wrapping Paper
    The Pattern Book Geology & Vegetation of Britain Map Wrapping Paper

    Add some style to your gifts with this vintage style wrapping paper featuring Geology & Vegetation of Britain maps. Adapted from a lithograph (c.1900) created by The Edinburgh Geographical Institute, this two-map wrapping paper includes a colour print and map key. It's almost too good to wrap things with!

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  • Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments
    Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments

    Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments provides an overview of how unmanned aerial systems have revolutionized our capability to monitor river systems, soil characteristics, and related processes at unparalleled spatio-temporal resolutions.This capability has enabled enhancements in our capacity to describe water cycle and hydrological processes.The book includes guidelines, technical advice, and practical experience to support practitioners and scientists in increasing the efficiency of monitoring with the help of UAS.The book contains field survey datasets to use as practical exercises, allowing proposed techniques and methods to be applied to real world case studies.

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  • Data Analytics & Visualization All-in-One For Dummies
    Data Analytics & Visualization All-in-One For Dummies

    Install data analytics into your brain with this comprehensive introduction Data Analytics & Visualization All-in-One For Dummies collects the essential information on mining, organizing, and communicating data, all in one place.Clocking in at around 850 pages, this tome of a reference delivers eight books in one, so you can build a solid foundation of knowledge in data wrangling.Data analytics professionals are highly sought after these days, and this book will put you on the path to becoming one.You’ll learn all about sources of data like data lakes, and you’ll discover how to extract data using tools like Microsoft Power BI, organize the data in Microsoft Excel, and visually present the data in a way that makes sense using a Tableau.You’ll even get an intro to the Python, R, and SQL coding needed to take your data skills to a new level.With this Dummies guide, you’ll be well on your way to becoming a priceless data jockey. Mine data from data sourcesOrganize and analyze data Use data to tell a story with TableauExpand your know-how with Python and R New and novice data analysts will love this All-in-One reference on how to make sense of data.Get ready to watch as your career in data takes off.

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  • Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation
    Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation

    Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation. Volume IV, Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation discusses the use of hyperspectral or imaging spectroscopy data in numerous specific and advanced applications, such as forest management, precision farming, managing invasive species, and local to global land cover change detection.It emphasizes the importance of hyperspectral remote sensing tools for studying vegetation processes and functions as well as the appropriate use of hyperspectral data for vegetation management practices.The concluding chapter provides readers with useful guidance on the highlights and essence of Volume IV through the editors’ perspective. Key Features of Volume IV: Guides readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation. Includes specific applications on agriculture, crop management practices, study of crop stress and diseases, crop characteristics based on inputs (e.g., nitrogen, irrigation), study of vegetation impacted by heavy metals, gross and net primary productivity studies, light use efficiency studies, crop water use and actual evapotranspiration studies, phenology monitoring, land use and land cover studies, global change studies, plant species detection, wetland and forest characterization and mapping, crop productivity and crop water productivity mapping, and modeling. Encompasses hyperspectral or imaging spectroscopy data in narrow wavebands used across visible, red-edge, near-infrared, far-infrared, shortwave infrared, and thermal portions of the spectrum. Explains the implementation of hyperspectral remote sensing data processing mechanisms in a standard, fast, and efficient manner for their applications. Discusses cloud computing to overcome hyperspectral remote sensing massive big data challenges. Provides hyperspectral analysis of rocky surfaces on the earth and other planetary systems.

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  • What vegetation occurs in Venezuela?

    Venezuela is home to a diverse range of vegetation due to its varied climate and topography. In the lowland areas, tropical rainforests dominate, with a rich variety of plant species including palms, orchids, and hardwood trees. As the elevation increases, the vegetation changes to cloud forests, characterized by mosses, ferns, and epiphytes. In the Andes mountains, the vegetation includes páramo grasslands and high-altitude shrubs. Additionally, Venezuela has coastal mangroves and desert vegetation in the northwestern region.

  • What is spatial visualization ability?

    Spatial visualization ability refers to the capacity to mentally manipulate and comprehend spatial relationships between objects. Individuals with strong spatial visualization skills can easily visualize and understand how objects relate to each other in space, such as rotating or manipulating shapes in their mind. This ability is crucial in various fields such as engineering, architecture, and mathematics, as it allows individuals to solve complex problems and understand spatial concepts more effectively. Improving spatial visualization ability can enhance problem-solving skills and overall cognitive performance.

  • What is meant by sparse vegetation?

    Sparse vegetation refers to an area where plant life is scarce or thinly distributed. This can be due to factors such as low rainfall, poor soil quality, extreme temperatures, or human activities like deforestation. Sparse vegetation can lead to issues such as soil erosion, reduced biodiversity, and increased vulnerability to climate change impacts.

  • How to program a vegetation simulator?

    To program a vegetation simulator, you would first need to define the parameters that will affect the growth and development of the vegetation, such as sunlight, water, soil nutrients, and temperature. Next, you would create algorithms that simulate how these parameters interact with the vegetation over time. You would also need to incorporate randomness and variability to make the simulation more realistic. Finally, you would test and refine your simulator by comparing its output to real-world data or observations to ensure its accuracy and reliability.

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