Dataset
Sensitivity of global terrestrial ecosystems to climate variability: data and R code
- 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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Authors
Contributors
+ Seddon AWR
Department:
University of Bergen
Role:
Researcher
+ Macias Fauria M
Department:
University of Oxford
Role:
Researcher
+ Long PR
Department:
University of Oxford
Role:
Researcher
+ Benz D
Department:
University of Oxford
Role:
Researcher
+ Willis KJ
Department:
University of Oxford
Role:
Researcher
Funding
+ Statoil ASA
More from this funder
Grant:
4501995279 (KJW, AWRS, PRL, DB)
Funding agency for:
Project
+ European Commission
More from this funder
Grant:
LIFE12 ENV/UK/000473 (KJW, DB, PRL)
Funding agency for:
Project
+ Natural Environment Research Council
More from this funder
Grant:
Independent Research Fellowship NE/L011859/1 (MMF)
Funding agency for:
Project
Bibliographic Details
- Publisher:
- University of Oxford
- Publication date:
- 2016
- Spatial coverage:
- Global (-180 - 180), (-60 - 90)
- DOI:
- Temporal coverage:
- 2000 - 2013
Item Description
- 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
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- Copyright date:
- 2016
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