the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A remote sensing-based dataset to characterize the ecosystem functioning and functional diversity in the Biosphere Reserve of Sierra Nevada (SE Spain)
- 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
- 3Multidisciplinary Institute for Environment Studies “Ramon Margalef” University of Alicante, 03690, Alicante, 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, E-18006, Granada, Spain
- 6Terrestrial Ecology Research Group, Department of Ecology, Faculty of Science, University of Granada, Av. Fuentenueva s/n, Granada, E‐18071 Spain
- 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
- 3Multidisciplinary Institute for Environment Studies “Ramon Margalef” University of Alicante, 03690, Alicante, 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, E-18006, Granada, Spain
- 6Terrestrial Ecology Research Group, Department of Ecology, Faculty of Science, University of Granada, Av. Fuentenueva s/n, Granada, E‐18071 Spain
Abstract. Conservation Biology faces the challenge of safeguarding the ecosystem functions and ecological processes (water cycle, nutrients, energy flow, and community dynamics) that sustain the multiple facets of biodiversity. Characterization and evaluation of these processes and functions can be carried out through functional attributes or traits related to the exchanges of matter and energy between vegetation and the atmosphere. Based on this principle, satellite imagery can provide integrative spatiotemporal characterizations of ecosystem functions at local to global scales. Here, we provide a multi-temporal dataset at protected area level, that characterizes the spatial patterns and temporal dynamics of ecosystem functioning in the Biosphere Reserve of Sierra Nevada (Spain), captured through the spectral vegetation index EVI (Enhanced Vegetation Index, product MOD13Q1.006 from MODIS sensor) from 2001 to 2018. The database contains, at the annual scale, a synthetic map of Ecosystem Functional Types (EFTs) classes from three Ecosystem Functional Attributes (EFAs): i) descriptors of annual primary production, ii) seasonality, and iii) phenology of carbon gains. It also includes two ecosystem functional diversity indices derived from the above datasets: i) EFT richness, and ii) EFT rarity. Finally, it provides inter-annual summaries for all previous variables, i.e., their long-term means and inter-annual variabilities. The datasets are available in two open-source sites (PANGAEA: https://doi.pangaea.de/10.1594/PANGAEA.924792 (Cazorla et al., 2020a) and http://obsnev.es/apps/efts_SN.html). This dataset brings to scientists, managers, and the general public, valuable information on the first characterization of ecosystem functional diversity based on primary production developed in Sierra Nevada, a biodiversity hotspot in the Mediterranean basin, and an exceptional natural laboratory for ecological research within the Long-Term Social-Ecological Research (LTSER) network.
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Beatriz P. Cazorla et al.
Status: final response (author comments only)
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RC1: 'Comment on essd-2021-223', Anonymous Referee #1, 08 Jun 2022
akthough the legend has been updated as indicated in the author's response, die figure (now) 3:still features
the misleading description: Mean EVI (Area under the curve)
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AC1: 'Reply on RC1', Beatriz P. Cazorla, 05 Jul 2022
Response to Referee comments on “A remote sensing-based dataset to characterize the ecosystem functioning and functional diversity of a Biosphere Reserve: Sierra Nevada (SE Spain)” by Beatriz P. Cazorla et al.
Dear referee, we really appreciate your feedback. We have made the modifications you suggest, as detailed below.
Referee comments:
*C1. - although the legend has been updated as indicated in the author's response, die figure (now) 3:still features the misleading description: Mean EVI (Area under the curve)
R1: According to referee comments, in the final manuscript we will replace the misleading figure description EVI_mean "area under the curve" by Mean EVI (annual mean) (Annual primary production). Please find attached the modified figure in this reply.
Best wishes,
Cazorla on behalf of all co-authors
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AC1: 'Reply on RC1', Beatriz P. Cazorla, 05 Jul 2022
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RC2: 'Comment on essd-2021-223', Anonymous Referee #2, 06 Dec 2022
I am approaching this manuscript as a fresh reviewer. The work seems to have had a tricky passage through the discussion and review process to date. Although the comments from the two original reviewers were largely positive,the revision of the first version (https://essd.copernicus.org/preprints/essd-2019-198/) seems to have not been accepted. The current version has been under discussion since September 2021!
Overall, my impression is broadly positive, and I see no major flaws. I appreciate the effort by the authors to provide basic online visualization capabilities, and confirm that I could download the dataset and understand the contents of the various sub-directories (i.e. the metadata provided is generally sufficient).
However, numerous language improvements are still required. More substantively, I was slightly disappointed to that the authors did not provide the code they used to generate their datasets; this hinders the reproducibility and transferability of their work to a certain extent. If at all possible, even though the regulations of ESSD may not require it, I would ask them to consider providing the code so that others could apply the methods to other areas most efficiently. The authors should also ensure that high resolution figures are uploaded; in the present version, some aspects of the figures are hard to read. Finally, I am not sure if the detailed analysis and interpretation of the datasets that are presented as “results” is necessary / fits within the scope of a data descriptor; such material could arguably constitute or be expanded into a full novel research article, which simply cites the data descriptor.
In summary, I recommend publication subject to these remarks, as well as the more specific (generally minor) comments in the attached PDF, being addressed.
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EC1: 'Comment on essd-2021-223', Kirsten Elger, 12 Dec 2022
Dear Beatriz Cazorla and co-authors,
I have closed the discussion of your manuscript and am asking you for your revision. It would be great if you considered the suggestion of referee #2 and make the code available if possible.
Many thanks in advance!
Beatriz P. Cazorla et al.
Data sets
Ecosystem functioning and functional diversity of Sierra Nevada (SE Spain) Cazorla, Beatriz P.; Cabello, J.; Reyes, A.; Guirado, E.; Peñas, Julio; Pérez-Luque, Antonio Jesus; Alcaraz-Segura, D. https://doi.org/10.1594/PANGAEA.924792
Beatriz P. Cazorla et al.
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