MX-CHN: Natural subtropical semi-arid shrubland

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Tower_team:
PI:	Alejandro E. Castellanos alejandro.castellanos@unison.mx - Universidad de Sonora
AncContact:	César Hinojo-Hinojo cesar.hinojo@unison.mx - Universidad de Sonora
FluxContact:	Teresa M. Ibarra-Montes teresa.ibarra@unison.mx - Universidad de Sonora
BADMContact:	D. Marina Acuña-Acosta marina.acuna@unison.mx - Universidad de Sonora
Lat, Long:	28.6982, -110.5392
Elevation(m):	450
Network Affiliations:	AmeriFlux, MexFlux, Phenocam
Vegetation IGBP:	CSH (Closed Shrublands: Lands with woody vegetation less than 2 meters tall and with shrub canopy cover >60%. The shrub foliage can be either evergreen or deciduous.)
Climate Koeppen:	Bwh (Desert: warm winter)
Mean Annual Temp (°C):	24.8
Mean Annual Precip. (mm):	322.1
Flux Species Measured:	CO2, H2O, Other
Years Data Collected:	2013 - Present
Years Data Available:	No data available
Data Use Policy:	AmeriFlux Legacy Policy
Description:	Natural subtropical shrubland (INEGI)
URL:	—
Research Topics:	Plant ecophysiological and bottom-up comparative ecosystem research on arid land use changes
Acknowledgment:	SEP-CONACYT(CB223525, CB61865, INF2012/1-188387), UNISON, TEXAS A&M; CONACYT (CB223525, CB61865), UNISON (313007025); CONACYT (CB223525, CB61865), UNISON, TEXAS A&M - CONACYT (2016-011); CONACYT (CB223525, CB61865), UNISON (313007025), TEXAS A&M - CONACYT (2016-011), PROFAPI-ITSON

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MX-CHN: Natural subtropical semi-arid shrubland

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Use the information below for citation of this site. See the Data Policy page for more details.

DOI(s) for citing MX-CHN data

Data Use Policy: AmeriFlux Legacy Policy

No DOIs available for MX-CHN

To cite BADM downloaded as a BIF file, use the publications listed below.

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MX-CHN: Natural subtropical semi-arid shrubland

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MX-CHN: Natural subtropical semi-arid shrubland

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MX-CHN: Natural subtropical semi-arid shrubland

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MODIS NDVI

The time series shows the 16-day Normalized Difference Vegetation Index (NDVI) average from the MOD13Q1 data product.
Use the slider below the time series to zoom in and out.

Includes all pixels that have acceptable quality

To view / download these data and other MOD13Q1 products for this site, visit MODIS/Terra Vegetation Indices.

For other related products, visit MODIS/VIIRS Fixed Sites Subsets Tool.

Citation:

ORNL DAAC. 2018. Terrestrial Ecology Subsetting & Visualization Services (TESViS) Fixed Sites Subsets. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1567

Read more on how to cite these MODIS products. Data come from NASA’s MODIS instruments installed on satellites Terra and Aqua, which scan the entire Earth’s surface every one to two days.

MODIS NDVI subsetted data is not yet available for this site.

For a complete list of AmeriFlux sites, visit ORNL DAAC's MODIS/VIIRS Fixed Sites Subsets Tool.

PhenoCam Images and Derived Time Series Data

PhenoCams are high-resolution digital cameras that take repeated images of studied ecosystems and provide quantitative information about the canopy phenology. The PhenoCam Network coordinates the camera installation and data reporting/analyses across sites in the Americas, providing automated, near-surface remote sensing of canopy phenology across a range of ecosystems and climate zones. Use of PhenoCam images / data should follow the PhenoCam Data Use Policy .

PhenoCam sites for MX-CHN:

mexchurin

Use the links below to explore camera images and interactive timeseries for these sites.

PhenoCam site: mexchurin

Green Chromatic Coordinate Time Series

ROI: SH_1000

Citation:

B. Seyednasrollah, A. M. Young, K. Hufkens, T. Milliman, M. A. Friedl, S. Frolking, and A. D. Richardson. Tracking vegetation phenology across diverse biomes using version 2.0 of the phenocam dataset. Scientific Data, 6(1):222, 2019. doi:10.1038/s41597-019-0229-9

Camera Imagery
 Milliman, T., B. Seyednasrollah, A.M. Young, K. Hufkens, M.A. Friedl, S. Frolking, A.D. Richardson, M. Abraha, D.W. Allen, M. Apple, M.A. Arain, J.M. Baker, D. Baldocchi, C.J. Bernacchi, J. Bhattacharjee, P. Blanken, D.D. Bosch, R. Boughton, E.H. Boughton, R.F. Brown, D.M. Browning, N. Brunsell, S.P. Burns, M. Cavagna, H. Chu, P.E. Clark, B.J. Conrad, E. Cremonese, D. Debinski, A.R. Desai, R. Diaz-Delgado, L. Duchesne, A.L. Dunn, D.M. Eissenstat, T. El-Madany, D.S.S. Ellum, S.M. Ernest, A. Esposito, L. Fenstermaker, L.B. Flanagan, B. Forsythe, J. Gallagher, D. Gianelle, T. Griffis, P. Groffman, L. Gu, J. Guillemot, M. Halpin, P.J. Hanson, D. Hemming, A.A. Hove, E.R. Humphreys, A. Jaimes-Hernandez, A.A. Jaradat, J. Johnson, E. Keel, V.R. Kelly, J.W. Kirchner, P.B. Kirchner, M. Knapp, M. Krassovski, O. Langvall, G. Lanthier, G.l. Maire, E. Magliulo, T.A. Martin, B. McNeil, G.A. Meyer, M. Migliavacca, B.P. Mohanty, C.E. Moore, R. Mudd, J.W. Munger, Z.E. Murrell, Z. Nesic, H.S. Neufeld, W. Oechel, A.C. Oishi, W.W. Oswald, T.D. Perkins, M.L. Reba, B. Rundquist, B.R. Runkle, E.S. Russell, E.J. Sadler, A. Saha, N.Z. Saliendra, L. Schmalbeck, M.D. Schwartz, R.L. Scott, E.M. Smith, O. Sonnentag, P. Stoy, S. Strachan, K. Suvocarev, J.E. Thom, R.Q. Thomas, A.K. Van den berg, R. Vargas, J. Verfaillie, C.S. Vogel, J.J. Walker, N. Webb, P. Wetzel, S. Weyers, A.V. Whipple, T.G. Whitham, G. Wohlfahrt, J.D. Wood, J. Yang, X. Yang, G. Yenni, Y. Zhang, Q. Zhang, and D. Zona. 2019. PhenoCam Dataset v2.0: Digital Camera Imagery from the PhenoCam Network, 2000-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1689

Green Chromatic Coordinate Time Series 
Seyednasrollah, B., A.M. Young, K. Hufkens, T. Milliman, M.A. Friedl, S. Frolking, A.D. Richardson, M. Abraha, D.W. Allen, M. Apple, M.A. Arain, J. Baker, J.M. Baker, D. Baldocchi, C.J. Bernacchi, J. Bhattacharjee, P. Blanken, D.D. Bosch, R. Boughton, E.H. Boughton, R.F. Brown, D.M. Browning, N. Brunsell, S.P. Burns, M. Cavagna, H. Chu, P.E. Clark, B.J. Conrad, E. Cremonese, D. Debinski, A.R. Desai, R. Diaz-Delgado, L. Duchesne, A.L. Dunn, D.M. Eissenstat, T. El-Madany, D.S.S. Ellum, S.M. Ernest, A. Esposito, L. Fenstermaker, L.B. Flanagan, B. Forsythe, J. Gallagher, D. Gianelle, T. Griffis, P. Groffman, L. Gu, J. Guillemot, M. Halpin, P.J. Hanson, D. Hemming, A.A. Hove, E.R. Humphreys, A. Jaimes-Hernandez, A.A. Jaradat, J. Johnson, E. Keel, V.R. Kelly, J.W. Kirchner, P.B. Kirchner, M. Knapp, M. Krassovski, O. Langvall, G. Lanthier, G.l. Maire, E. Magliulo, T.A. Martin, B. McNeil, G.A. Meyer, M. Migliavacca, B.P. Mohanty, C.E. Moore, R. Mudd, J.W. Munger, Z.E. Murrell, Z. Nesic, H.S. Neufeld, T.L. O'Halloran, W. Oechel, A.C. Oishi, W.W. Oswald, T.D. Perkins, M.L. Reba, B. Rundquist, B.R. Runkle, E.S. Russell, E.J. Sadler, A. Saha, N.Z. Saliendra, L. Schmalbeck, M.D. Schwartz, R.L. Scott, E.M. Smith, O. Sonnentag, P. Stoy, S. Strachan, K. Suvocarev, J.E. Thom, R.Q. Thomas, A.K. Van den berg, R. Vargas, J. Verfaillie, C.S. Vogel, J.J. Walker, N. Webb, P. Wetzel, S. Weyers, A.V. Whipple, T.G. Whitham, G. Wohlfahrt, J.D. Wood, S. Wolf, J. Yang, X. Yang, G. Yenni, Y. Zhang, Q. Zhang, and D. Zona. 2019. PhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery, 2000-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1674

GeoNEX Data Products

GeoNEX led by NASA Earth eXchange (NEX) is a collaborative effort for generating Earth monitoring products from the new generation of geostationary satellite sensors. GeoNEX has produced a suite of geostationary data products including surface reflectance, land surface temperature, surface solar radiation, and many others.

The GeoNEX Common Grid locates GeoNEX data in the geographic (latitude/longitude) projection. Pixels (grid cells) are created at regular 0.005°, 0.01°, and 0.02° resolutions.

GeoNEX pixels below cover the area 0.06° x 0.06° around and including site .

No GeoNEX data have been received for site MX-CHN.

Citation

This material can be used without obtaining permission from NASA. NASA should be acknowledged as the source of this material.

Subset Data Citation:

Hashimoto, H., Wang, W., Park, T., Khajehei, S., Ichii, K., Michaelis, A.R., Guzman, A., Nemani, R.R., Torn, M., Yi, K., Brosnan, I.G. (in preparation). Subsets of geostationary satellite data over international observing network sites for studying the diurnal dynamics of energy, carbon, and water cycles.

Relevant Science Publication Citation:

GeoNEX Surface Reflectance for Vegetation Indices (NDVI & NIRv)

Wang, W., Wang, Y., Lyapustin, A., Hashimoto, H., Park, T., Michaelis, A., & Nemani, R. (2022). A novel atmospheric correction algorithm to exploit the diurnal variability in hypertemporal geostationary observations. Remote Sensing, 14(4), 964.

GeoNEX Surface Downward Solar Radiation (DSR):

Li, R., Wang, D., Wang, W., & Nemani, R. (2023). A GeoNEX-based high-spatiotemporal-resolution product of land surface downward shortwave radiation and photosynthetically active radiation. Earth System Science Data, 15(3), 1419-1436.

GeoNEX Land Surface Temperature (LST):

Jia, A., Liang, S., & Wang, D. (2022). Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data. Remote Sensing of Environment, 278, 113105.

MX-CHN: Natural subtropical semi-arid shrubland

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Search Publications for this Site Publications Found: 7

AmeriFlux Publications

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Year	Publication
2022	Castellanos, A. E., C. Hinojo-Hinojo, J. C. Rodríguez, J. R. Romo-Leon, B. P. Wilcox, J. A. Biederman, J. Peñuelas (2022) Plant functional diversity influences water and carbon fluxes and their use efficiencies in native and disturbed dryland ecosystems, Ecohydrology, 15(5), 1-15. https://doi.org/DOI # 10.1002/eco.2415
2019	Hinojo-Hinojo, C., Castellanos, A. E., Huxman, T., Rodriguez, J. C., Vargas, R., Romo-León, J. R., Biederman, J. A. (2019) Native Shrubland And Managed Buffelgrass Savanna In Drylands: Implications For Ecosystem Carbon And Water Fluxes, Agricultural And Forest Meteorology, 268, 269-278. https://doi.org/https://doi.org/10.1016/j.agrformet.2019.01.030
2016	Castellanos, A. E., Celaya‐Michel, H., Rodríguez, J. C., Wilcox, B. P. (2016) Ecohydrological Changes In Semiarid Ecosystems Transformed From Shrubland To Buffelgrass Savanna, Ecohydrology, 9(8), 1663-1674. https://doi.org/doi:10.1002/eco.1756
2024	Acuña‐Acosta, D. M., Castellanos, A. E., Llano‐Sotelo, J. M., Sardans, J., Peñuelas, J., Romo‐Leon, J. R., Koch, G. W. (2024) Higher Phosphorus And Water Use Efficiencies And Leaf Stoichiometry Contribute To Legume Success In Drylands, Functional Ecology, 38(10), 2271-2285. https://doi.org/https://doi.org/10.1111/1365-2435.14648
2021	Acuña-Acosta, D. M., Castellanos-Villegas, A. E., Llano-Sotelo, J. M., Romo-León, J. R. (2021) Respuestas De Los Atributos FotosintéTicos Y EstequioméTricos A La Aridez En Las Especies Y Tipos Funcionales De Dos Comunidades Del Desierto Sonorense, Botanical Sciences, 99(2), 257-278. https://doi.org/https://doi.org/10.17129/botsci.2708
2023	Martínez-Núñez, E., Castellanos, A. E., Basant, S., Ortega, C., Wilcox, B. P., Yépez, E. A., Rodríguez, J. C., Romo-León, J. R. (2023) Diferentes Estrategias En Las DináMicas De Flujo De Savia Y Nicho HidrolóGico De áRboles Dominantes En El Desierto Sonorense Posibilitan Su Coexistencia, Botanical Sciences, 101(4), 995-1015. https://doi.org/https://doi.org/10.17129/botsci.3303
2022	Leite, P. A., Castellanos, A. E., Wilcox, B. P., Vega-Puga, M., Martínez, E., Dennis, S., Choza, S., Acuña-Acosta, D. M. (2022) Contrasting Effects Of Native And Exotic Vegetation On Soil Infiltrability In The Sonoran Desert, Science Of The Total Environment, 852, 158544. https://doi.org/https://doi.org/10.1016/j.scitotenv.2022.158544

MX-CHN: Natural subtropical semi-arid shrubland

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MX-CHN: Natural subtropical semi-arid shrubland

Overview
Windroses
Data Citation
Data Use Log
Image Gallery
Remote Sensing Data
- MODIS
- PhenoCam
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Publications
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MX-CHN: Natural subtropical semi-arid shrubland

MX-CHN: Natural subtropical semi-arid shrubland

DOI(s) for citing MX-CHN data

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MX-CHN: Natural subtropical semi-arid shrubland

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MX-CHN: Natural subtropical semi-arid shrubland

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MX-CHN: Natural subtropical semi-arid shrubland

MX-CHN: Natural subtropical semi-arid shrubland

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MX-CHN: Natural subtropical semi-arid shrubland

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