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ZENODO
Dataset . 2017
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2017
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2017
License: CC BY
Data sources: Datacite
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Meteorological and Ecosystem Flux Data for: Climate Change Impacts on Net Ecosystem Productivity in a Subtropical Scrubland of Northwestern México

Authors: Vivian S. Verduzco; Enrique R. Vivoni; Enrico A. Yepez; Julio C. Rodriguez; Christopher J. Watts; Tonantzin Tarin; Jaime Garatuza-Payan; +2 Authors

Meteorological and Ecosystem Flux Data for: Climate Change Impacts on Net Ecosystem Productivity in a Subtropical Scrubland of Northwestern México

Abstract

This dataset accompains the paper: Climate Change Impacts on Net Ecosystem Productivity in a Subtropical Scrubland of Northwestern México which is submitted for publication at the Journal of Geophysical Research - Biogeosciences With this data set, we calibrate and validate an ecohydrological and a soil carbon model to assess climate change impacts in a subtropical scrubland located in northwest México. Model calibration and validation is performed using five continuous years of water, energy and carbon flux measurements from an eddy covariance tower and remotely-sensed vegetation indices. 

We thank the Consejo Nacional de Ciencia y Tecnología (CONACYT) in México for the graduate fellowship to V.S.V. (231560). This research project was supported by CB-2013-01: 221014 to E.A.Y.

Keywords

climate change, eddy covariance, ecohydrology

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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