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M.D. Jennings

Publications and source records attributed to M.D. Jennings.

3 recordsLinked to original sources

Gap analysis: Concepts, methods, and recent results

Rapid progress is being made in the conceptual, technical, and organizational requirements for generating synoptic multi-scale views of the earth's surface and its biological content. Using the spatially comprehensive data that are now available, researchers, land managers, and land-use planners can, for the first time, quantitatively place landscape units - from general categories such as 'Forests' or 'Cold-Deciduous Shrubland Formation' to more categories such as 'Picea glauca-Abies balsamea-Populus spp. Forest Alliance' - in their large-area contexts. The National Gap Analysis Program (GAP) has developed the technical and organizational capabilities necessary for the regular production and analysis of such information. This paper provides a brief overview of concepts and methods as well as some recent results from the GAP projects. Clearly, new frameworks for biogeographic information and organizational cooperation are needed if we are to have any hope of documenting the full range of species occurrences and ecological processes in ways meaningful to their management. The GAP experience provides one model for achieving these new frameworks.

Landscape Ecology↗

Large-area mapping of biodiversity

The age of discovery, description, and classification of biodiversity is entering a new phase. In responding to the conservation imperative, we can now supplement the essential work of systematics with spatially explicit information on species and assemblages of species. This is possible because of recent conceptual, technical, and organizational progress in generating synoptic views of the earth's surface and a great deal of its biological content, at multiple scales of thematic as well as geographic resolution. The development of extensive spatial data on species distributions and vegetation types provides us with a framework for: (a) assessing what we know and where we know it at meso-scales, and (b) stratifying the biological universe so that higher-resolution surveys can be more efficiently implemented, coveting, for example, geographic adequacy of specimen collections, population abundance, reproductive success, and genetic dynamics. The land areas involved are very large, and the questions, such as resolution, scale, classification, and accuracy, are complex. In this paper, we provide examples from the United States Gap Analysis Program on the advantages and limitations of mapping the occurrence of terrestrial vertebrate species and dominant land-cover types over large areas as joint ventures and in multi-organizational partnerships, and how these cooperative efforts can be designed to implement results from data development and analyses as on-the-ground actions. Clearly, new frameworks for thinking about biogeographic information as well as organizational cooperation are needed if we are to have any hope of documenting the full range of species occurrences and ecological processes in ways meaningful to their management. The Gap Analysis experience provides one model for achieving these new frameworks.

Conference Paper↗

An innovative partnership for national environmental assessment

Four federal environmental programs: EMAP (USEPA), GAP (USFWS), C-CAP (NOAA), NAWQA (USGS) have formed a partnership with EROS Data Center (USGS) to facilitate the development of baseline land characteristics information for the conterminous U.S. Each of the respective programs brings to the group unique experience and expertise. Despite emphasis on different environmental issues, together we have identified common requirements for source satellite data, preprocessing, spectral clustering, ancillary data, data management and distribution. We are also developing a research agenda to support this initiative and future efforts of this partnership. The short-term goal of out effort is the joint acquisition and preprocessing of recent Landsat TM images for the conterminous U.S. To date, images have been identified for acquisition, and preliminary plans have been made for preprocessing. The long-term goal for this group is collaborative research and development of a flexible and functional land characteristics database for use by our programs and others. This partnership demonstrates that national environmental programs within multiple government agencies can work effectively together to achieve common goals and reduce overall cost.

Pecora 12 Symposium↗