R como un SIG: Extracción de datos climáticos de WorldClim

Fergnani, Paula Nilda

doi:10.25260/ea.22.32.1.0.1119

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…Se descargaron las variables ambientales (temperatura y precipitación) mediante World Clim es una plataforma de datos que almacena información climática y meteorológica a nivel mundial de alta resolución. Estos datos son útiles para mapeo y modelos en el ámbito espacial (Fergnani, 2022).…”

Section: Softwares Utilizadosunclassified

Multitemporal Analysis of Potential Geographic Distribution of Lama Guanicoe

Gutierrez,

Haro,

Díaz

2024

rev.cyt

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The purpose of this research is focused on modeling the geographic distribution of Lama guanicoe in South America in two time periods, 2021 and 2070, using MaxEnt software to correlate the bioclimatic variables and calculate the change in the distribution area. Then, with this information, a comparative map of the current and future areas was made in QGIS. As conclusions we can see that in the region of Peru the change of distribution area is reduced, which is observable in the majority of the nations where the guanaco (Lama guanicoe) lives, which is currently considered Endangered, so according to our model it predicts that it will reduce the distribution area by 20%, and the temperature variables have a negative correlation with the area, which indicates that climate change will have a relationship with the Lama guanicoe. This information is necessary for all countries to take action in the conservation of Lama guanicoe by adopting strategies to reduce and prevent climate change, generating and updating their conservation plans.

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Section: Softwares Utilizadosunclassified

Multitemporal Analysis of Potential Geographic Distribution of Lama Guanicoe

Gutierrez,

Haro,

Díaz

2024

rev.cyt

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Extending Grime's CSR model to predict plant demographic responses across resource availability gradients: evidence from the patagonian steppes

Nasta,

Leva,

Premoli

et al. 2024

Oikos

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Sexual reproduction, growth, and survival are crucial demographic strategies for plant population viability. Here, we propose a conceptual model predicting demographic responses of species based on their ecological strategy and the heterogeneity of environmental conditions within a biogeographical unit and then applied it to a case study from a 5˚ latitudinal gradient in the Patagonian steppes. We also aim to disentangle genetic from environmental effects on demographic responses. We performed in situ and common garden experiments with two species from six local populations of the Occidental Phytogeographical District of the Patagonian steppes. Species differ in key ecological traits, and thus fit into Grime's model for evolutionary strategies in plants: one as competitive species and the other as stress‐tolerant species. We calculated population growth rate (λ) and performed elasticity analyses to compare the contribution of each demographic strategy to population fitness between species and among local populations distributed along 600 km latitudinal gradient with differences in mean annual precipitation (MAP). We highlight four results. First, the competitive species change from sexual reproduction to growth as MAP increases. Second, the stress‐tolerant species relied on growth and survival along the MAP gradient. Third, interannual variation in resource availability modulated demographic responses for both strategies. Fourth, based on the comparison of the in situ and common garden experiments, we submit that demographic responses were genetically driven. Our study shows that demographic responses can be roughly predicted by the ecological strategy across environmental gradients. We show that differences arise not only between species, but also were genetically driven differences within species among local populations. Scaling up plant‐level responses to population‐level dynamics allows for a process‐based understanding of current and future biogeographical species organization. Furthermore, conservation and restoration efforts should be guided by demographic strategies underlying population viability.

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R como un SIG: Extracción de datos climáticos de WorldClim

Cited by 2 publications

References 8 publications

Multitemporal Analysis of Potential Geographic Distribution of Lama Guanicoe

Multitemporal Analysis of Potential Geographic Distribution of Lama Guanicoe

Extending Grime's CSR model to predict plant demographic responses across resource availability gradients: evidence from the patagonian steppes

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