Mapping tropical dry forest habitats integrating Landsat NDVI, Ikonos imagery, and topographic information in the Caribbean Island of Mona

Martinuzzi, Sebastiáin; Gould, William A.; González, Olga; Robles, Alma Martinez; Maldonado, Paulina Calle; Pérez-Buitrago, Néstor; Caban, José J Fumero

doi:10.15517/rbt.v56i2.5613

Cited by 19 publications

(20 citation statements)

References 20 publications

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“…Organizations dedicated to the production of new remote sensing products and tools have developed new satellites sensors with higher spatial resolution, which represent a new age of terrestrial observation and digital mapping that can be applicable for the purposes of programs like REDD+ [75][76][77][78][79].…”

Section: Discussionmentioning

confidence: 99%

Assessing and Monitoring Forest Degradation in a Deciduous Tropical Forest in Mexico via Remote Sensing Indicators

Sánchez¹,

Poncé-Hernandez

2017

Forests

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Assessing and monitoring forest degradation under national Monitoring, Verification and Reporting (MRV) systems in developing countries have been difficult to implement due to the lack of adequate technical and operational capacities. This study aims at providing methodological options for monitoring forest degradation in developing countries by using freely available remote sensing, forest inventory and ancillary data. We propose using Canopy Cover to separate, through a time series analysis approach using Landsat Imagery, forest areas with changes over time from sectors that report a "stable condition". Above ground Biomass and Net Primary Productivity derived from remote sensing data were used to define thresholds for areas considered degraded. The approach was tested in a semi-deciduous tropical forest in the Southeast of Mexico. The results showed that higher rates of forest degradation, 1596 to 2865 ha year −1 , occur in areas with high population densities. The results also showed that 43% of the forests of the study area remain with no evident signs of degradation, as determined by the indicators used. The approach and procedures followed allowed for the identification and mapping of the temporal and spatial distribution of forest degradation, based on the indicators selected, and they are expected to serve as the basis for operations of the Reduction of Emissions from Deforestation and Forest Degradation (REDD+) initiative in Mexico and other developing countries, provided appropriate adaptations of the methodology are made to the conditions of the area in turn.

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Section: Discussionmentioning

confidence: 99%

Assessing and Monitoring Forest Degradation in a Deciduous Tropical Forest in Mexico via Remote Sensing Indicators

Sánchez¹,

Poncé-Hernandez

2017

Forests

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“…Para Martinuzzi et al (2008), los valores del NDVIS durante la temporada seca del año varían de bajos a intermedios (0.35-0.5) y sugieren la presencia de matorral y bosque abierto. Para las ocho especies de la sección Angulatae el NDVIS indica, si bien, éstas crecen en la temporada húme-da, prosperan principalmente en ambientes con cobertura vegetal que varía de baja a intermedia, aún en la estación seca del año.…”

Section: José Antonio López-sandoval Et Alunclassified

Modelado de los factores ambientales que determinan la distribución de especies sinantrópicas de <em>Physalis</em>

et al. 2015

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5Autor para la correspondencia. lauro@colpos.mxResumen: El modelado de la distribución de especies sinantrópicas (malezas) y los factores ambientales que determinan dicha distribución han sido poco estudiados. Physalis tiene 90 especies distribuidas en las Américas, y algunas especies en el Viejo Mundo. México alberga cerca de 70 especies y aproximadamente 35 son endémicas. La sección Angulatae incluye diez especies, todas sinantrópicas en mayor o menor grado. Las especies se concentran en la Sierra Madre Occidental, la Sierra Madre del Sur y en la Faja Volcánica Transmexicana. El objetivo de este trabajo fue modelar e identifi car las variables ambientales que determinan la distribución potencial de las diez especies de Physalis sección Angulatae. Se emplearon 524 registros revisados por especialistas en la taxonomía del grupo y 20 variables ambientales; de éstas 12 fueron climáticas, tres edáfi cas, dos de cobertura de la vegetación y tres de atributos topográfi cos. Los modelos se calcularon con el algoritmo Maxent. Los resultados del modelado mostraron que el hábitat más adecuado para la persistencia de ocho especies se defi nió por el índice normalizado diferencial de vegetación en los meses secos del año, la materia orgánica del suelo, la altitud y el aspecto, las cuales en conjunto explicaron entre el 73 y el 91 % de la variación en su distribución. Otros factores como la precipitación total anual y la isotermalidad determinaron la distribución de P. crassifolia y de P. glabra, respectivamente. El índice normalizado diferencial de la vegetación y las propiedades de los suelos, son predictores determinantes en la distribución potencial de las especies de la sección Angulatae. Palabras clave: máxima entropía, predictores ambientales, sección Angulatae, tomatillos. Abstract:The modeling of the distribution of synanthropic (weedy) species and the environmental factors that determine their distribution is not well studied. Physalis has 90 species distributed in the Americas, and several in the Old World. Mexico harbors about 70 species and approximately 35 are endemic. The section Angulatae includes 10 species, all synanthropic to some degree. The species tended to concentrate in the Sierra Madre Occidental, the Sierra Madre del Sur, and the Transmexican Volcanic Belt. The aim of this work was to model and identify the environmental variables that determine the potential distribution of the ten species of Physalis sect. Angulatae. A total of 524 records that had been verifi ed by the taxonomic experts of the group and 20 environmental variables were used; 12 were climatic, and the other eight were novel and of different types: three soil properties, two normalized differential vegetation indexes and three topographic attributes. The models were obtained with the Maxent algorithm. The results of the modelling showed that the most suitable habitat for the persistence of eight species was delimited by the normalized differential vegetation index during the dry months of the year, the soil organic matter, the elev...

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“…For the Commonwealth of the Northern Mariana Islands, Guam, and American Samoa, we used vegetation layers mapped by satellite imagery compiled by the U.S. Department of Agriculture (USDA), Forest Service (Liu and Fischer 2006a, 2006b. For Puerto Rico except Mona Island, we used the National Land Cover Data (NLCD) database (Homer et al 2007, based on Kennaway and Helmer 2007); for Puerto Rico's Mona Island, we used Martinuzzi et al (2008). For the U.S. Virgin Islands, we obtained land cover from satellite imagery .…”

Section: Land Ownership and Forest Covermentioning

confidence: 99%

Islands on the edge: housing development and other threats to America's Pacific and Caribbean Island forests: a Forests on the Edge report

Stein¹,

Carr²,

Liknes³

et al. 2014

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Mapping tropical dry forest habitats integrating Landsat NDVI, Ikonos imagery, and topographic information in the Caribbean Island of Mona

Cited by 19 publications

References 20 publications

Assessing and Monitoring Forest Degradation in a Deciduous Tropical Forest in Mexico via Remote Sensing Indicators

Assessing and Monitoring Forest Degradation in a Deciduous Tropical Forest in Mexico via Remote Sensing Indicators

Modelado de los factores ambientales que determinan la distribución de especies sinantrópicas de <em>Physalis</em>

Islands on the edge: housing development and other threats to America's Pacific and Caribbean Island forests: a Forests on the Edge report

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