BECAS
PERRI Daiana Vanesa
artículos
Título:
Arid and semiarid rangeland responses to non-stationary temporal dynamics of environmental drivers
Autor/es:
EASDALE, M.H.; PERRI, D.; BRUZZONE, O.A.
Revista:
Remote Sensing Applications: Society and Environment
Editorial:
Elsevier B.V.
Referencias:
Año: 2022 vol. 27
Resumen:
Temporal ecology is a growing research field aimed at understanding how temporal dynamics structure ecological systems in a changing environment. Ecosystems are exposed to accelerating environmental changes —mainly driven by climate change— that challenge their future survival. The main feature of this planetary process is that statistical properties such as mean, variance and autocorrelation are not constant over time. While this non-stationary climate change characteristic is well known, our premise is that far too much attention is given to ecosystems stationary responses, where annual cycles and seasonal changes of vegetation productivity are the main indicators for addressing environmental changes and planning rangeland management. Hence, shifts in other relevant intra-annual and inter-annual cycles are overlooked. We emphasize that a rigorous and systematic tool aimed at addressing these kinds of temporal changes in vegetation dynamics is lacking. We proposed an operative framework aimed at tackling the ability of rangelands to develop non-stationary responses in short periods, in the face of non-stationary changes in the dynamics of external factors driving its temporal functioning. In particular, we measured non-stationary dynamics of rangeland productivity by means of shifts in the hierarchy of frequency domain components over time of different rangelands’ photosynthetic activity from North-West Patagonia, Argentina, as measured by the Normalized Difference Vegetation Index (NDVI). We emphasize the importance of a relevant temporal dimension of ecosystems with new insights into both the understanding of environmental changes impact on terrestrial ecosystems and the implementation of rangelands adaptive management.