Описание: Civilising Grass is a socio-cultural analysis of the lawn on the South African highveld, exploring the complex relationship between landscape and power in the country's colonial, modernist and post-apartheid eras Drawing from eco-criticism, queer theory, art history and postcolonial studies, this book offers a lively and provocative reading of texts and illustrations to reveal the racial and gendered aspects of 'natural' environments. It argues that the lawn, an ordinary and often overlooked feature of South African everyday life, is neither natural nor innocent. Rather, like other colonial landscapes, the lawn functions as a site of commonplace violence, of oppression, dispossession and segregation. This book explores an eclectic archive of artistic, literary and architectural lawns between 1886 and 2017, analysing poems, maps, gardening blogs, adverts, ethnographies and ephemera, as well as literature by Koos Prinsloo, Marlene van Niekerk and Ivan Vladislavic. In addition, Civilising Grass includes colour reproductions of lawn artworks by David Goldblatt, Lungiswa Gqunta, Pieter Hugo, Anton Kannemeyer, Sabelo Mlangeni, Moses Tladi and Kemang Wa Lehulere. Examination of these and other works reveals the organic relationship between lawn and wildness, and between lawn and human/non-human actors – thereby providing rich and unexpected insights into South African society past and present.
Автор: McPherson Название: Appl.Ecology & Natural Resource Management.2002 ISBN: 0521009758 ISBN-13(EAN): 9780521009751 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The science of ecology and the practice of resource management are critical to our understanding of the Earth`s ecosystems and our efforts to conserve them. This book focuses on the discipline of plant ecology as a foundation for vegetation and wildlife management and is aimed at natural resource managers and students.
Автор: Cooper Paul Название: Ecology and Natural Resource Management ISBN: 1682865754 ISBN-13(EAN): 9781682865750 Издательство: Неизвестно Цена: 24299.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Adrian X. Esparza; Guy McPherson Название: The Planner`s Guide to Natural Resource Conservation: ISBN: 1489984356 ISBN-13(EAN): 9781489984357 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Much of the country’s recent population growth is situated in exurban areas. By many accounts exurbanization has become the dominant pattern of land development in the country and there is no indication it will slow in the foreseeable future (Theobald 2005; Brown et al. 2005; Glennon and Kretser 2005). By definition, exurban development takes place beyond the metropolitan fringe, often in rural and remote areas. The development of new exurban communities is a growing trend, especially in the West. In this case, developers and homebuilders seek large tracts of land, up to thousands of acres, in rural areas (typically within 50 miles of a large city) where they plan entire communities consisting of commercial, retail and residential land uses. Recreational amenities such as golf courses and hiking/biking trails are often included in these master-planned developments. Our philosophy is reflected in the book’s two objectives. First, we seek to document the extent and impacts of exurban development across the country. At issue is demonstrating why planners and the public-at-large should be concerned about exurbanization. We will demonstrate that even though exurbanization favors amenity rich regions, it affects all areas of the country through the loss of agricultural and grazing lands, impacts to watersheds and land modification. A summary of environmental impacts is presented, including the loss of wildlands and agricultural productivity, land modification, soil erosion, impacts to terrestrial hydrologic systems, the loss of biodiversity, nonnative and endangered species and other topics. Our second aim is to provide readers from diverse (nonscientific) backgrounds with a working knowledge of how and why exurbanization impacts environmental systems. This is accomplished by working closely to ensure contributors follow a specific outline for each chapter. First, contributors will spell out fundamental concepts, principles and processes that apply to their area of expertise (e.g., riparian areas). Contributors will move beyond a cursory understanding of ecological processes without overwhelming readers with the dense material found typically in specialized texts. For this reason, visuals and other support materials will be integral to each chapter. We have chosen contributors carefully based on their record as research scientists and acumen as educators. Second, once the mechanics have been laid out, authors will explain how and why land development in nearby areas influences ecosystems. Issues of interdependency, modification and adaptation, spatial scale and varying time horizons will be featured. Third, contributors will weigh in on the pros and cons of various land-development schemes. Fourth, authors will share their thinking on the merits of conservation devices such as wildlife corridors, open-space requirements and watershed management districts. Finally, each chapter will conclude by identifying pitfalls to avoid and highlighting "best practices" that will mitigate environmental problems or avoid them altogether. In sum, after completing each chapter, readers should have a firm grasp of relevant concepts and processes, an understanding of current research and know how to apply science to land-use decisions.
Описание: Ecologists and natural resource managers are charged with making complex management decisions in the face of a rapidly changing environment resulting from climate change, energy development, urban sprawl, invasive species and globalization. Advances in Geographic Information System (GIS) technology, digitization, online data availability, historic legacy datasets, remote sensors and the ability to collect data on animal movements via satellite and GPS have given rise to large, highly complex datasets. These datasets could be utilized for making critical management decisions, but are often “messy” and difficult to interpret. Basic artificial intelligence algorithms (i.e., machine learning) are powerful tools that are shaping the world and must be taken advantage of in the life sciences. In ecology, machine learning algorithms are critical to helping resource managers synthesize information to better understand complex ecological systems. Machine Learning has a wide variety of powerful applications, with three general uses that are of particular interest to ecologists: (1) data exploration to gain system knowledge and generate new hypotheses, (2) predicting ecological patterns in space and time, and (3) pattern recognition for ecological sampling. Machine learning can be used to make predictive assessments even when relationships between variables are poorly understood. When traditional techniques fail to capture the relationship between variables, effective use of machine learning can unearth and capture previously unattainable insights into an ecosystem's complexity. Currently, many ecologists do not utilize machine learning as a part of the scientific process. This volume highlights how machine learning techniques can complement the traditional methodologies currently applied in this field.
Автор: Daniel L. Schmoldt; H. Michael Rauscher Название: Building Knowledge-Based Systems for Natural Resource Management ISBN: 1461284899 ISBN-13(EAN): 9781461284895 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: , personal computers, has placed computing resources within reach of many more people. They contained only a small fraction of the computing power of their immediate ancestors, the mini- computers and mainframe computers.
Автор: Jaap de Gruijter; Dick J. Brus; Marc F.P. Bierkens Название: Sampling for Natural Resource Monitoring ISBN: 364206132X ISBN-13(EAN): 9783642061325 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents statistical knowledge, and methodology of sampling and data analysis specifically for spatial inventory and monitoring of local natural resources. The book functions as a design guide for efficient sampling schemes and monitoring systems can be designed, consistent with the aims and constraints of the project.
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