Think of the Highlands as the “backyard” and “backstop” of the Philadelphia–New York–Hartford metroplex. A backyard that spans over three million acres across Pennsylvania, New York, and Connecticut, the Highlands serves as recreational open space for the metroplex’s burgeoning human population. As backstop, Highlands’ watersheds provide a ready source of high-quality drinking water for over fifteen million people. The Highlands is the first book to examine the natural and cultural landscape of this four-state region, showing how it’s distinctive and why its conservation is vital. Each chapter is written by a different leading researcher and specialist in that field, and introduces readers to another aspect of the Highlands: its geological foundations, its aquifers and watersheds, its forest ecology, its past iron industry. In the 1800s, the Highlands were mined, cutover, and then largely abandoned. Given time, the forests regenerated, the land healed, and the waters cleared. Increasingly, however, the Highlands are under assault again—polluted runoff contaminating lakes and streams, invasive species choking out the local flora and fauna, exurban sprawl blighting the rural landscape, and climate change threatening the integrity of its ecosystems. The Highlands makes a compelling case for land use planning and resource management strategies that could help ensure a sustainable future for the region, strategies that could in turn be applied to other landscapes threatened by urbanization across the country. The Highlands are a valuable resource. And now, so is The Highlands.

Comprehensive Water Quality and Purification, Four Volume Set provides a rich source of methods for analyzing water to assure its safety from natural and deliberate contaminants, including those that are added because of carelessness of human endeavors. Human development has great impact on water quality, and new contaminants are emerging every day. The issues of sampling for water analysis, regulatory considerations, and forensics in water quality and purity investigations are covered in detail. Microbial as well as chemical contaminations from inorganic compounds, radionuclides, volatile and semivolatile compounds, disinfectants, herbicides, and pharmaceuticals, including endocrine disruptors, are treated extensively. Researchers must be aware of all sources of contamination and know how to prescribe techniques for removing them from our water supply. Unlike other works published to date that concentrate on issues of water supply, water resource management, hydrology, and water use by industry, this work is more tightly focused on the monitoring and improvement of the quality of existing water supplies and the recovery of wastewater via new and standard separation techniques Using analytical chemistry methods, offers remediation advice on pollutants and contaminants in addition to providing the critical identification perspective The players in the global boom of water purification are numerous and varied. Having worked extensively in academia and industry, the Editor-in-Chief has been careful about constructing a work for a shared audience and cause

This is the first book of its kind – explicitly considering uncertainty and error analysis as an integral part of scaling. The book draws together a series of important case studies to provide a comprehensive review and synthesis of the most recent concepts, theories and methods in scaling and uncertainty analysis. It includes case studies illustrating how scaling and uncertainty analysis are being conducted in ecology and environmental science.

Modern ecological and environmental sciences are dominated by observational data. As a result, traditional statistical training often leaves scientists ill-prepared for the data analysis tasks they encounter in their work. Bayesian methods provide a more robust and flexible tool for data analysis, as they enable information from different sources to be brought into the modelling process. Bayesian Applications in Evnironmental and Ecological Studies with R and Stan provides a Bayesian framework for model formulation, parameter estimation, and model evaluation in the context of analyzing environmental and ecological data. Features: An accessible overview of Bayesian methods in environmental and ecological studies Emphasizes the hypothetical deductive process, particularly model formulation Necessary background material on Bayesian inference and Monte Carlo simulation Detailed case studies, covering water quality monitoring and assessment, ecosystem response to urbanization, fisheries ecology, and more Advanced chapter on Bayesian applications, including Bayesian networks and a change point model Complete code for all examples, along with the data used in the book, are available via GitHub The book is primarily aimed at graduate students and researchers in the environmental and ecological sciences, as well as environmental management professionals. This is a group of people representing diverse subject matter fields, who could benefit from the potential power and flexibility of Bayesian methods.