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Full-Text Articles in Life Sciences
Monitoring Whitebark Pine Stand Health In The Central Washington Cascades, Nancy H. Parra, Teresa J. Lorenz, Taza D. Schaming, Alison Scoville
Monitoring Whitebark Pine Stand Health In The Central Washington Cascades, Nancy H. Parra, Teresa J. Lorenz, Taza D. Schaming, Alison Scoville
Student Published Works
Whitebark pine (Pinus albicaulis) plays a vital role in colonizing newly disturbed areas, providing shade for other tree species to germinate, and supplying food for a variety of birds and mammals, such as Clark’s Nutcrackers (Nucifraga columbiana) and grizzly bears (Ursus arctos horribilis). Decline of whitebark pine populations has been attributed to several factors, including white pine blister rust (Cronartium ribicola), mountain pine beetle (Dendroctonus ponderosae) outbreaks, and fire exclusion. In 2009, the U.S. Forest Service began to install permanent plots in whitebark pine stands in Washington and Oregon as …
Emerging Hot Spot Analysis To Indicate Forest Conservation Priorities And Efficacy On Regional To Continental Scales: A Study Of Forest Change In Selva Maya 2000-2020, Nicholas Cuba, Laura A. Sauls, Anthony J. Bebbington, Denise Humphreys Bebbington, Avecita Chicchon, Pilar Delpino Marimón, Oscar Diaz, Susanna Hecht, Susan Kandel, Tracey Osborne, Rebecca Ray, Madelyn Rivera, John Rogan, Viviana Zalles
Emerging Hot Spot Analysis To Indicate Forest Conservation Priorities And Efficacy On Regional To Continental Scales: A Study Of Forest Change In Selva Maya 2000-2020, Nicholas Cuba, Laura A. Sauls, Anthony J. Bebbington, Denise Humphreys Bebbington, Avecita Chicchon, Pilar Delpino Marimón, Oscar Diaz, Susanna Hecht, Susan Kandel, Tracey Osborne, Rebecca Ray, Madelyn Rivera, John Rogan, Viviana Zalles
Geography
Despite the importance of preserving contiguous tropical forest areas to maintain biodiversity and terrestrial carbon stocks, methodological challenges continue to hinder broad-scale analysis of threats to these forests. Emerging Hot Spot Analysis (EHSA) is a spatial-statistical method that conveys complex information about the temporal dynamics of deforestation across a range of moderate to coarse spatial scales. Using Global Forest Change (GFC) data as inputs, EHSA produces spatially comprehensive, gridded outputs that represent a standardized, reproduceable way to instantiate contiguous forest tracts as spatial objects. Doing so allows aggregation of other GFC-derived values and analysis of alternative geographic configurations besides sub-national …