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Many thanks for your correspondence regarding our data description paper entitled "A remote sensing-based dataset to characterize the ecosystem functioning and functional diversity of a Biosphere Reserve: Sierra Nevada (SE Spain)". We thank you for all your constructive comments, which provided valuable insights to improve the conceptual and methodological robustness of our data and our manuscript.

Many thanks for your correspondence regarding our data description paper entitled "A remote sensing-based dataset to characterize the ecosystem functioning and functional diversity of a Biosphere Reserve: Sierra Nevada (SE Spain)". We thank you for all your constructive comments, which provided valuable insights to improve the conceptual and methodological robustness of our data and our paper. We are now very C1 ESSDD Interactive comment Printer-friendly version Discussion paper pleased to send you the response to your comments and suggestions. In our response below, please find our point-by-point responses (indicted with "R") presenting, in detail, how we have addressed the Reviewer comments ("C"). In the .pdf document attached, the Reviewer comments are reproduced in bold italic font and our responses are indicated in plain text, in addition, tables and figures are embed in the main document. We numbered each comment and reply for ease of reference and indicated changes that will be made in the manuscript. Once again, we thank you for your time, constructive comments and suggestions. We hope to meet the expectations with this response, and that the Reviewer considers our data description manuscript suitable to be published in Earth System Science Data.

Abstract. Conservation Biology faces the challenge of safeguarding the ecological processes that sustain biodiversity. Characterization and evaluation of these processes can be carried out through attributes or functional traits related to the exchanges of matter and energy between vegetation and the atmosphere. Nowadays, the use of satellite imagery provides useful methods to produce a spatially continuous characterization of ecosystem functioning and processes at regional scales. Our dataset characterizes the patterns of ecosystem functioning in Sierra Nevada (Spain) from the vegetation greenness dynamics captured through the spectral vegetation index EVI (Enhanced Vegetation Index) since 2001 to 2018 (product MOD13Q1.006 from MODIS sensor). First, we provided three Ecosystem Functional Attributes (EFAs) (i.e., descriptors of annual primary production, seasonality, and phenology of carbon gains), as well as their integration into a synthetic mapping of Ecosystem Functional Types (EFTs). Second, we provided two measures of functional diversity: EFT richness and EFT rarity. Finally, in addition to the yearly maps, we calculated interannual summaries, i.e., means and inter-annual variabilities. Examples of research and management applications of these data sets are also included to highlight the value of EFAs and EFTs to improve the understanding and monitoring ecosystem processes across environmental gradients. The datasets are available in two open-source sites (PANGAEA: https://doi.pangaea.de/10.1594/PANGAEA.904575 (Cazorla et al. 2019) and http://obsnev.es/apps/efts_SN.html), and bring to scientists, managers and the general public valuable information on the first characterization of the functional diversity at ecosystem level developed in a Mediterranean hotspot. Sierra Nevada represents an exceptional ecology laboratory of field conditions, where a long-term monitoring (LTER) program was established 10 years ago. The data availability on biodiversity, climate, ecosystem services, hydrology, land-use changes and management practices from Sierra Nevada, will allow to explore the relationships between these other environmental data and ecosystem functional data that we provide in this work.

Contribución del estudiante al trabajo Las hipótesis del trabajo fueron planteadas conjuntamente entre los tutores D. AlcarazSegura y J. Peñas y la estudiante B. Pérez Cazorla, en colaboración con P.P. Garcillán (del CIBNOR de Baja California). El material de partida fue la serie temporal de imágenes MODIS facilitada por J. Cabello del CAESCG de la Universidad de Almería y tres scripts de IDL facilitados por D. AlcarazSegura para el cálculo de Tipos Funcionales de Ecosistemas (adaptado a 231 m), de las medias de los atributos funcionales, y de la diversidad funcional, variabilidad interanual y similitud. El procesamiento de las imágenes, el tratamiento de los datos en sistemas de información geográfica y el análisis estadístico fue realizado por la estudiante. La interpretación de los resultados fue realizada por la estudiante junto a los tutores y P.P. Garcillán, J. Cabello y A. Reyes. La redacción de la memoria la realizó la estudiante atendiendo a las correcciones de los tutores y de P.P. Garcillán.