Mantel test for spatial functional data

Giraldo, Ramón; Caballero, William; Camacho-Tamayo, Jesús Hernán

doi:10.1007/s10182-016-0280-1

Cited by 12 publications

(4 citation statements)

References 28 publications

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“…The Mantel test was calculated with permutations of the Monte-Carlo test method (n = 2000 interactions). This test measures the correlation between two matrices (biological variable and spatial distance), and is one way of testing for spatial autocorrelation (Crabot et al 2019;Giraldo Caballero & Camacho-Tamayo et al 2018). All statistical analyses were performed using R programming language version 3.6.1, (RCoreTeam 2019) with a significance level of α = 0.05.…”

Section: Discussionmentioning

confidence: 99%

Morphometry of the fruits of Genipa americana (Rubiaceae): a case study from the southern coast of Bahia, Brazil

Sousa-Santos¹,

Dalmolin²,

Santos³

et al. 2021

Rodriguésia

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We conducted a study to assess the morphometric attributes of Genipa americana fruit, and their relationship with variations in elevation and distances between sampling sites on the southern coast of Bahia, Brazil. Eight fruit were used per sampling site (ten sites; n = 80). Mantel’s test revealed that the spatial distance between sample sites, and elevation of all sampling sites were significantly correlated with the similarities found in fruit diameter (DF), fruit length (FL), and fresh fruit mass (FFM), but the spatial distance between sites, independently of the elevation, was only correlated with the number of seeds per fruit (NSF) and total fresh mass of seeds per fruit (FMSF). The morphometric attributes of fruits, and their associated relationships with elevation and distance between sampling sites are demonstrated.

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Section: Discussionmentioning

confidence: 99%

Morphometry of the fruits of Genipa americana (Rubiaceae): a case study from the southern coast of Bahia, Brazil

Sousa-Santos¹,

Dalmolin²,

Santos³

et al. 2021

Rodriguésia

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“…This method also allowed us to assess how patterns vary between transects by using the variance around the mean. To test for spatial autocorrelation within our models, we used Mantel tests with 999 permutations (Giraldo et al, 2018). We created a distance matrix from the geographical data of each plot, as well as a distance matrix from the residuals of each of the regression models for abundance and richness.…”

Section: Species Abundance and Richness Modelsmentioning

confidence: 99%

Functional Traits, Species Diversity and Species Composition of a Neotropical Palm Community Vary in Relation to Forest Age

et al. 2022

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Understanding the factors that shape the diversity and composition of biotic communities in natural and human-modified landscapes remains a key issue in ecology. Here, we evaluate how functional traits, species diversity and community composition of palm species vary in relation to biogeographic variables and forest age in northwest Ecuador. Functional traits capture essential aspects of species’ ecological tradeoffs and roles within an ecosystem, making them useful in determining the ecological consequences of environmental change, but they have not been used as commonly as more traditional metrics of species diversity and community composition. We inventoried palm communities in 965 10 × 10 m plots arrayed in linear transects placed in forests of varying age. Adult palms in forests of younger regeneration stages were characterized by species with greater maximum stem height, greater maximum stem diameter, and solitary stems. The shift in functional features could indicate that shade tolerant palms are more common in old-growth forest. The shift could also reflect the legacy of leaving canopy palms as remnants in areas that were cleared and then allowed to regrow. Moreover, younger forest age was associated with decreased abundance and altered species composition in both juvenile and adult palms, and decreased species richness in adults. These results highlight the importance of retaining intact, old-growth forest to preserve functional and species diversity and highlight the importance of considering multiple aspects of diversity in studies of vegetation communities.

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“…El análisis estadístico de datos de área busca como objetivo la determinación de una estructura de autocorrelación espacial. La noción de autocorrelación espacial de estas variables está asociada con la idea de que valores observados en áreas geográficas adyacentes serán más similares que los esperados bajo el supuesto de independencia espacial (Giraldo, Caballero & Camacho, 2018).…”

Section: Análisis Espacialunclassified

Análisis Espacial De La Tasa De Mortalidad Infantil. Implementación De Modelos De Regresión Espacial.

Palacios¹,

Rico²

2018

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Con el objetivo de hacer parte de la Organización para la Cooperación y el Desarrollo Económico, OCDE, Colombia ha generado diversas políticas públicas para reducir indicadores de pobreza, salud, educación, entre otros. Uno de los indicadores que evidencia calidad de la salud pública, es la tasa de mortalidad infantil, es por esto que se han fortalecido algunas estrategias en pro de su reducción, sin embargo, se considera importante a su vez evaluar la desigualdad social como variable explicativa de la tasa de mortalidad infantil en Colombia. En esta investigación se realizó un análisis espacial de dicha tasa en Colombia para el año 2016, en la cual se busca determinar si existe dependencia espacial, tomando como regiones delimitadas los municipios de Colombia, dicha relación es analizada mediante el Índice de Morán global y local, encontrando clúster que determinan dependencia espacial a nivel municipal. Finalmente se estiman modelos de regresión polinomial local y ponderado geográficamente usando como covariables la tasa de prematuridad, porcentaje de afiliados al régimen de salud y el Índice de Pobreza Multidimensional. La implementación de estos modelos logró determinar diferencias marcadas a nivel municipal lo que permite reconocer zonas de alto riesgo; pudiéndose generar programas que permitan la reducción de mortalidad infantil en dichas zonas.

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Mantel test for spatial functional data

Cited by 12 publications

References 28 publications

Morphometry of the fruits of Genipa americana (Rubiaceae): a case study from the southern coast of Bahia, Brazil

Morphometry of the fruits of Genipa americana (Rubiaceae): a case study from the southern coast of Bahia, Brazil

Functional Traits, Species Diversity and Species Composition of a Neotropical Palm Community Vary in Relation to Forest Age

Análisis Espacial De La Tasa De Mortalidad Infantil. Implementación De Modelos De Regresión Espacial.

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