J
Janet Franklin
Researcher at University of California, Riverside
Publications - 246
Citations - 15490
Janet Franklin is an academic researcher from University of California, Riverside. The author has contributed to research in topics: Vegetation & Species distribution. The author has an hindex of 53, co-authored 232 publications receiving 13361 citations. Previous affiliations of Janet Franklin include University of California, Santa Barbara & Sonoma State University.
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Mapping Species Distributions: Spatial Inference and Prediction
TL;DR: This chapter discusses the history and Ecological Basis of Species' Distribution Modeling, and the design and implementation of species' distribution models.
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Predictive vegetation mapping: geographic modelling of biospatial patterns in relation to environmental gradients:
TL;DR: Predictive vegetation mapping as discussed by the authors is defined as predicting the geographic distribution of the vegetation composition across a landscape from mapped environmental variables, which is made possible by the availability of digital maps of topography and other environmental variables such as soils, geology and climate variables.
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Plant diversity patterns in neotropical dry forests and their conservation implications
Dryflor,Karina Banda-R,Alfonso Delgado-Salinas,Kyle G. Dexter,Kyle G. Dexter,Reynaldo Linares-Palomino,Reynaldo Linares-Palomino,Ary Teixeira de Oliveira-Filho,Darién E. Prado,Martin R. Pullan,Catalina Quintana,Ricarda Riina,M M Gina Rodríguez,Julia Weintritt,Pedro Acevedo-Rodríguez,Juan Adarve,Esteban Álvarez,B Anairamiz Aranguren,Julián Camilo Arteaga,Gerardo Aymard,Alejandro Castaño,Natalia Ceballos-Mago,Álvaro Cogollo,Hermes Cuadros,Freddy Delgado,Wilson Devia,Hilda del Carmen Dueñas,Laurie Fajardo,Ángel Fernández,Miller Ángel Fernández,Janet Franklin,Ethan H. Freid,Luciano A. Galetti,Reina Gonto,Roy González-M.,Roy González-M.,Roger Graveson,Eileen H. Helmer,Álvaro Idárraga,René López,Humfredo Marcano-Vega,Olga Gladys Martínez,Hernán M. Maturo,Morag McDonald,Kurt McLaren,Omar Melo,Francisco Mijares,Virginia Yanina Mogni,Diego Alonso Restrepo Molina,Natalia del Pilar Moreno,Jafet M. Nassar,Danilo M. Neves,Danilo M. Neves,Luis Jorge Oakley,Michael P. Oatham,Alma Rosa Olvera-Luna,Flávia Fonseca Pezzini,Orlando Joel Reyes Dominguez,María Elvira Ríos,Orlando Rivera,Nelly Rodríguez,Alicia Rojas,Tiina Särkinen,Roberto Sánchez,Melvin Smith,Carlos Vargas,Boris Villanueva,R. Toby Pennington +67 more
TL;DR: Using 835 inventories covering 4660 species of woody plants, marked floristic turnover among inventories and regions indicates that numerous conservation areas across many countries will be needed to protect the full diversity of tropical dry forests.
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Predictive soil mapping: A review
TL;DR: Predictive soil mapping (PSM) can be defined as the development of a numerical or statistical model of the relationship among environmental variables and soil properties, which is then applied to a geographic data base to create a predictive map.
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Moving beyond static species distribution models in support of conservation biogeography
TL;DR: In this article, the authors combine static species distribution models (SDM), predicting the geographical pattern of suitable habitat, with dynamic landscape and population models to forecast the impacts of environmental change on species status, an important goal of conservation biogeography.