Implications of landscape configuration on understory forage productivity: a remote sensing assessment of native forests openings

• Autores: Trinco, Fabio Daniel; Rusch, Verónica Elena; Howison, Ruth Alison; Garibaldi, Lucas Alejandro; Tittonell, Pablo Adrián
• Año de publicación: 2021
• Idioma: inglés
• Tipo de recurso: artículo
• Materia: Ciencias y Recursos Forestales; Ecología; Cattle; Grazing; NDVI; Heterogeneity; Seasonality; Temperate Forests; Ciencias y Recursos Forestales; Ecología
• Institución: Universidad Nacional de Río Negro

Fil: Trinco, Fabio D. Instituto Nacional de Tecnología Agropecuaria. Instituto de Investigaciones Forestales y Agropecuarias de Bariloche. Río Negro, Argentina.
Fil: Rusch, Verónica E. Instituto Nacional de Tecnología Agropecuaria. Instituto de Investigaciones Forestales y Agropecuarias de Bariloche. Río Negro, Argentina.
Fil: Howison, Ruth A. Groningen University. Groningen Institute for Evolutionary Life Sciences. Conservation Ecology Group. Países Bajos.
Fil: Garibaldi, Lucas A. Universidad Nacional de Río Negro. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.
Fil: Garibaldi, Lucas A. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural. Río Negro, Argentina.
Fil: Tittonell, Pablo A. Instituto Nacional de Tecnología Agropecuaria. Instituto de Investigaciones Forestales y Agropecuarias de Bariloche. Río Negro, Argentina.
Sound management of native forests used for cattle grazing requires understanding the dynamics of forage productivity in the openings. Despite their importance, forage productivity drivers in highly heterogeneous forested landscapes, or their variability over the year, are still unclear. The aim of this work is to find predictors of Normalized Difference Vegetation Index (NDVI) variation in the openings of native temperate forests and to evaluate how these predictors change within the growing season. We used high spatial resolution remote sensing imagery from NW Patagonia to separate forest openings from tree dense canopy. We obtained data of each opening related with herbaceous and shrub forage productivity and calculated landscape metrics. We estimated a multiple linear regression model for predicting NDVI in each season. Beyond known variables related with forage productivity (altitude, precipitation, etc.), the shape of forest’ openings appeared as relevant in predicting NDVI. Higher values of forest opening perimeters were related with a decrease in NDVI in spring when soil water content is not limiting and conversely with an increase in NDVI in summer when water is limiting growth. These results suggest that environmental drivers such as temperature and soil moisture inside the opening, and competition or facilitation process between trees and grasses are mediated by the shape of the opening. Management of heterogeneous native forests for cattle raising requires considering the shape of the openings to maximize forage productivity.
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