- Subtitle:
- 2000-2013 monthly time-series of 5km resolution MODIS-derived enhanced vegetation index, air temperature, water availability, cloud cover, supplementary files and R code
- Abstract:
-
Seddon et al. (2016) Nature (DOI 10.1038/nature16986) ABSTRACT: Identification of properties that contribute to the persistence and resilience of ecosystems despite climate change constitutes a research priority of global significance. Here, we present a novel, empirical approach to assess the relative sensitivity of ecosystems to climate variability, one property of resilience that builds on theoretical modelling work recognising that systems closer to critical thresholds respond more sensi...
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- Department:
- University of Bergen
- Role:
- Researcher
- Department:
- University of Oxford
- Role:
- Researcher
- Department:
- University of Oxford
- Role:
- Researcher
- Department:
- University of Oxford
- Role:
- Researcher
- Department:
- University of Oxford
- Role:
- Researcher
- Grant:
- 4501995279 (KJW, AWRS, PRL, DB)
- Funding agency for:
- Project
- Grant:
- LIFE12 ENV/UK/000473 (KJW, DB, PRL)
- Funding agency for:
- Project
- Grant:
- Independent Research Fellowship NE/L011859/1 (MMF)
- Funding agency for:
- Project
- Publisher:
- University of Oxford
- Publication date:
- 2016
- Spatial coverage:
- Global (-180 - 180), (-60 - 90)
- DOI:
- Temporal coverage:
- 2000 - 2013
- Language:
- English
- Format:
- Digital
- Documentation:
-
Data and coding scripts for Seddon et al. (2016) Nature (DOI 10.1038/nature16986). We derived monthly time-series of four key terrestrial ecosystem variables at 0.05 degree (~5km) resolution from observations by the MODIS sensor on Terra (AM) for the period February 2010-December 2013 inclusive, and developed a method to identify vegetation sensitivity to climate variability over this period (see Methods in main paper). This ORA item contains all data and files required to run the analysis ... Expand documentation
- Copyright date:
- 2016
Dataset
Sensitivity of global terrestrial ecosystems to climate variability: data and R code
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Authors
Contributors
+ Seddon AWR
+ Macias Fauria M
+ Long PR
+ Benz D
+ Willis KJ
Funding
+ Statoil ASA
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+ European Commission
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+ Natural Environment Research Council
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