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Discussion papers
https://doi.org/10.5194/essd-2019-198
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2019-198
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: data description paper 07 Feb 2020

Submitted as: data description paper | 07 Feb 2020

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This preprint is currently under review for the journal ESSD.

A remote sensing-based dataset to characterize the ecosystem functioning and functional diversity of a Biosphere Reserve: Sierra Nevada (SE Spain)

Beatriz P. Cazorla1,2, Javier Cabello1,2, Andrés Reyes1, Emilio Guirado1,3, Julio Peñas1,4, Antonio J. Pérez-Luque5,6, and Domingo Alcaraz-Segura1,4,5 Beatriz P. Cazorla et al.
  • 1Andalusian Center for the Assessment and Monitoring of Global Change, University of Almería, 04120, Almería, Spain
  • 2Department of Biology and Geology, University of Almería, 04120, Almería, Spain
  • 3Andalusian Research Institute in Data Science and Computational Intelligence, University of Granada, 18071, Granada, Spain
  • 4Department of Botany, University of Granada, Av. de Fuentenueva, s/n 18071, Granada, Spain
  • 5iecolab. Andalusian Institute for Earth System Research(IISTA-CEAMA) – University of Granada, Avda. Mediterráneo s/n, 18006, Granada, Spain
  • 6Terrestrial Ecology Research Group, Department of Ecology, Faculty of Science, University of Granada, Av. Fuentenueva s/n, Granada, 18071 Spain

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.

Beatriz P. Cazorla et al.

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Beatriz P. Cazorla et al.

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Ecosystem functioning and functional diversity of Sierra Nevada (SE Spain) B. P. Cazorla, J. Cabello, A. Reyes, E. Guirado, J. Peñas, A. J. Pérez-Luque, and D. Alcaraz-Segura https://doi.pangaea.de/10.1594/PANGAEA.904575

Beatriz P. Cazorla et al.

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Short summary
Our dataset characterizes the spatial patterns and temporal dynamics of ecosystem functioning and functional diversity in Sierra Nevada (Spain) from time-series of satellite images of vegetation greenness from 2001 to 2018. The dataset brings to scientists, managers and citizens the first characterization of the functional diversity at ecosystem level developed in a Mediterranean biodiversity hotspot, useful to improve the understanding, monitoring and management of ecosystem processes.
Our dataset characterizes the spatial patterns and temporal dynamics of ecosystem functioning...
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