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J. Morgan Grove

Researcher at United States Forest Service

Publications -  120
Citations -  13347

J. Morgan Grove is an academic researcher from United States Forest Service. The author has contributed to research in topics: Urban ecology & Urban ecosystem. The author has an hindex of 45, co-authored 114 publications receiving 11638 citations. Previous affiliations of J. Morgan Grove include University of Vermont & University of Minnesota.

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Book ChapterDOI

Integrated approaches to long-term studies of urban ecological systems

TL;DR: In this paper, the authors describe an emerging approach to understand the ecology of urban areas by contrasting these two metropolises, and present a call to action for ecologists to integrate their science with that of social scientists to achieve a more realistic and useful understanding of the natural world in general and its ecology in particular.
Journal ArticleDOI

The changing landscape : ecosystem responses to urbanization and pollution across climatic and societal gradients

TL;DR: This article proposed six hypotheses about local to continental effects of urbanization and pollution, and an operational research approach to test them, focusing on analysis of megapolitan areas that have emerged across North America, but also including diverse wildland-to-urban gradients and spatially continuous coverage of land change.
Journal ArticleDOI

Parks and people: an environmental justice inquiry in Baltimore, Maryland.

TL;DR: In this article, the authors examine the distribution of parks in Baltimore, Maryland, as an environmental justice issue and employ a novel park service area approach that uses Thiessen polygons and dasymetric reapportioning of census data to measure potential park congestion as an equity outcome measure.
ReportDOI

A Review and Assessment of Land-Use Change Models Dynamics of Space, Time, and Human Choice

TL;DR: A review of different types of land-use change models incorporating human processes is presented in this article, where the authors compare land use change models in terms of scale (both spatial and temporal) and complexity, and how well they incorporate space, time and human decisionmaking.