The ENSO phenomenon and the precipitation of the Monte Alto Protected Zone, Costa Rica
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| Авторы: | , , |
|---|---|
| Формат: | artículo original |
| Статус: | Versión publicada |
| Дата публикации: | 2023 |
| Описание: | Much is discussed about the climatic changes associated with regional or global atmospheric phenomena. Empiric evidence, however, does not necessarily support such claims even though it is necessary to visualize the strength of their effects and important for the design of management and conservation agendas of those biosystems supporting the modern lifestyle. In this work, a time series analysis was carried out with monthly precipitation data from the Monte Alto Protected Zone in Hojancha, Costa Rica, for the period between May 2013 and November 2022. A disruption in the temporal pattern was detected in the rainy season of 2017 that took about two years to return to the original state. Such disruption was clearly linked with a cold period of the ENSO phenomenon, colloquially known as “La Niña”, and was followed by a second disruption with an effect lasting until this moment. The data presented herein evidence that ENSO has a direct effect on the precipitation pattern in the Monte Alto Reserve, whose original conservation purpose was to provide drinking water to local populations. The oscillations in the hydrological cycle, apparently more frequent in the last years based on the local context of this analysis, influence the quality of life of the affected populations and deserve monitoring for a proper documentation and quantification intended to increase human resilience by means of adaptation. |
| Страна: | Portal de Revistas UCR |
| Институт: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| Язык: | Español |
| OAI Identifier: | oai:portal.ucr.ac.cr:article/54178 |
| Online-ссылка: | https://revistas.ucr.ac.cr/index.php/ingenieria/article/view/54178 |
| Ключевое слово: | adaptación cambio climático eventos extremos Guanacaste Hojancha resiliencia Adaptation climate change extreme events resilience |