Análisis geoestadístico de la evolución temporal de los páramos de la microcuenca del río Cebadas, mediante el Índice de Vegetación de Diferencia Normalizado (NDVI) y su relación con la precipitación

Diego Francisco Cushquicullma Colcha, Maritza Lucia Vaca Cárdenas, Luz María Orna Puente, Martha Marisol Vasco Lucio

Resumen


Los páramos andinos son ecosistemas de gran altitud con una biodiversidad única y diversos servicios ecosistémicos importantes. Albergan especies endémicas y además desempeñan un papel significativo en el secuestro de carbono y la regulación hídrica; estudios recientes hacen uso de la teledetección para monitorear los páramos con resultados en menor tiempo y costo. La investigación se ejecutó en la microcuenca del río Cebadas y se utilizaron dos imágenes MOD13A1.061 Terra Vegetation Índices del satélite Terra de la NASA para analizar los cambios en la cobertura vegetal durante un año, comparando NDVI de marzo 2023 y marzo 2024. La precipitación se obtuvo de la base de datos WorldClim Global Climate versión 2.0 Data, con una resolución de 30 segundos. Las imágenes fueron procesadas y clasificadas usando QGIS, reclasificando en 4 clases y transformando los productos a polígonos. Se crearon mallas de 500x500 metros para extraer puntos georreferenciados. Se realizó un análisis de autocorrelación espacial con el índice de Moran y el High/Low Clustering (Getis-Ord General G). Finalmente, se aplicó la correlación de Spearman para analizar la relación entre NDVI y precipitación.

Se determinó que, en 2023, los valores bajos de NDVI se concentraron al noreste y sureste de Cebadas, reduciéndose en 2024 en un 86.7%. Los valores medios de NDVI se redujeron en un 24.8%, concentrándose al sur de Cebadas y al norte de Achupallas en 2024. Los valores altos de NDVI aumentaron un 159.8%, concentrándose al noroeste de Cebadas. Los valores muy altos de NDVI disminuyeron en un 29.1%. La prueba de Spearman mostró una relación inversa significativa entre NDVI y precipitación. El análisis de Moran indicó una distribución agregada para precipitación y NDVI, mientras que el análisis High/Low Clustering mostró patrones significativos de agrupación de valores altos.

La microcuenca mostró una notable disminución en áreas con bajos valores de NDVI y un aumento en áreas con altos valores de NDVI, sugiriendo mejoras en la cobertura vegetal. Los análisis espaciales revelaron patrones agregados en la distribución de precipitación y NDVI. Se encontró una relación inversa significativa entre NDVI y precipitación, destacando la compleja dinámica de estos ecosistemas.


Palabras clave


Índices espectrales; Autocorrelación espacial; Distribución agregada; Patrones agregados.

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Referencias


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DOI: https://doi.org/10.23857/pc.v9i6.7475

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