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artículo
Publicado 2021
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The desert fog oasis ecosystem of Peru and Chile comprises numerous oases along 3000 km of the Pacific coastal belt, it hosts a highly endemic flora, providing vital ecosystem services and genetic resources. However, due to their marked seasonality and fog cover they are poorly mapped, greatly compromising their conservation. Here we redress this using 479 images from the MODIS (MOD13Q1 V6 product) data/algorithm for the period 2000–2020, permitting the mapping of ephemeral vegetation, herbaceous and woody fog oases vegetation. In addition, we examine the main drivers of productivity in this unique ecosystem using generalised linear models, assess human pressures, conservation efforts, and summarise present plant diversity knowledge. The resultant map (https://gistin.users.earthengine.app/view/fogoasis) extends existing mapped areas by more than four-fold to over 17,000 km2 , revealing...
2
artículo
Publicado 2023
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As the adverse impacts of hydrological extremes increase in many regions of the world, a better understanding of the drivers of changes in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However, there is currently a lack of comprehensive, empirical data about the processes, interactions, and feedbacks in complex human–water systems leading to flood and drought impacts. Here we present a benchmark dataset containing socio-hydrological data of paired events, i.e. two floods or two droughts that occurred in the same area. The 45 paired events occurred in 42 different study areas and cover a wide range of socio-economic and hydro-climatic conditions. The dataset is unique in covering both floods and droughts, in the number of cases assessed and in the quantity of socio-hydrological data. The benchmark dataset comprises (1) detailed rev...
