Exploring Ecosystem Functioning in Spain with Gross and Net Primary Production Time Series Article Swipe
Beatriz Martínez
,
Sergio Sánchez-Ruíz
,
Manuel Campos‐Taberner
,
Francisco Javier Garcı́a-Haro
,
María Amparo Gilabert Navarro
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/rs14061310
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/rs14061310
The main objective of this study is to analyze the spatial and temporal variability of gross and net primary production (GPP and NPP) in Peninsular Spain across 15 years (2004–2018) and determine the relationship of those carbon fluxes with precipitation and air temperature. A time series study of daily GPP, NPP, mean air temperature, and monthly standardized precipitation index (SPI) at 1 km spatial resolution is conducted to analyze the ecosystem status and adaptation to changing environmental conditions. Spatial variability is analyzed for vegetation and specific forest types. Temporal dynamics are examined from a multiresolution analysis based on the wavelet transform (MRA-WT). The Mann–Kendall nonparametric test and the Theil–Sen slope are applied to quantify the magnitude and direction of trends (increasing or decreasing) within the time series. The use of MRA-WT to extract the annual component from daily series increased the number of statistically significant pixels. At pixel level, larger significant GPP and NPP negative changes (p-value < 0.1) are observed, especially in southeastern Spain, eastern Mediterranean coastland, and central Spain. At annual temporal scale, forests and irrigated crops are estimated to have twice the GPP of rainfed crops, shrublands, grasslands, and sparse vegetation. Within forest types, deciduous broadleaved trees exhibited the greatest annual NPP, followed by evergreen broadleaved and evergreen needle-leaved tree species. Carbon fluxes trends were correlated with precipitation. The temporal analysis based on daily TS demonstrated an increase of accuracy in the trend estimates since more significant pixels were obtained as compared to annual resolution studies (72% as to only 17%).
Related Topics
Concepts
Primary production
Evergreen
Environmental science
Enhanced vegetation index
Deciduous
Precipitation
Vegetation (pathology)
Physical geography
Climatology
Ecosystem
Normalized Difference Vegetation Index
Leaf area index
Geography
Ecology
Meteorology
Vegetation Index
Biology
Geology
Pathology
Medicine
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/rs14061310
- https://www.mdpi.com/2072-4292/14/6/1310/pdf?version=1646900369
- OA Status
- gold
- Cited By
- 21
- References
- 61
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4220845569
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4220845569Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/rs14061310Digital Object Identifier
- Title
-
Exploring Ecosystem Functioning in Spain with Gross and Net Primary Production Time SeriesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-03-08Full publication date if available
- Authors
-
Beatriz Martínez, Sergio Sánchez-Ruíz, Manuel Campos‐Taberner, Francisco Javier Garcı́a-Haro, María Amparo Gilabert NavarroList of authors in order
- Landing page
-
https://doi.org/10.3390/rs14061310Publisher landing page
- PDF URL
-
https://www.mdpi.com/2072-4292/14/6/1310/pdf?version=1646900369Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.mdpi.com/2072-4292/14/6/1310/pdf?version=1646900369Direct OA link when available
- Concepts
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Primary production, Evergreen, Environmental science, Enhanced vegetation index, Deciduous, Precipitation, Vegetation (pathology), Physical geography, Climatology, Ecosystem, Normalized Difference Vegetation Index, Leaf area index, Geography, Ecology, Meteorology, Vegetation Index, Biology, Geology, Pathology, MedicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
21Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 9, 2023: 3, 2022: 5Per-year citation counts (last 5 years)
- References (count)
-
61Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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