Location: Dairy Forage Research
Title: Network of networks: Time-series clustering of Ameriflux sitesAuthor
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REED, DAVID - Yale University |
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CHU, HOUSEN - Lawrence Berkeley National Laboratory |
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PETER, BRAD - University Of Arkansas |
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CHEN, JIQUAN - Michigan State University |
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ABRAHA, MICHAEL - Michigan State University |
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AMIRO, BRIAN - University Of Manitoba |
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Anderson, Raymond |
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ARAIN, M. - McMaster University |
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ARRUDA, PAULO - Universidade Federal De Mato Grosso |
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BARRON-GAFFORD, GREG - University Of Arizona |
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Bernacchi, Carl |
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BEVERLY, DANIEL - Indiana University |
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BIRAUD, SEBASTIEN - Lawrence Berkeley National Laboratory |
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BLACK, ANDREW - University Of British Columbia |
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BLANKEN, PETER - University Of Colorado |
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BOHRER, GIL - The Ohio State University |
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BOWLER, REBECCA - British Colombia Ministry Of Forests And Range |
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BOWLING, DAVID - University Of Utah |
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BRET-HARTE, MARION - University Of Alaska |
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BRETFELD, MARIO - Kennesaw State University |
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BRUNSELL, NATHANIEL - University Of Kansas |
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BULLOCK, STEPHEN - Centro De Investigacion Cientifica Y De Educacion Superior De Ensenada |
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CELIS, GERARDO - University Of Arkansas |
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CHEN, XINGYUAN - Pacific Northwest National Laboratory |
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CLASSEN, AIMEE - University Of Michigan |
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COOK, DAVID - Argonne National Laboratory |
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CUEVA, ALEJANDRO - El Colegio De La Frontera Sur (ECOSUR) |
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DALMAGRO, HIGO - Universidade De Cuiaba |
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DAVIS, KENNETH - Pennsylvania University |
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DESAI, ANKUR - University Of Wisconsin |
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Duff, Alison |
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DUNN, ALISON - Worcester State College |
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DURDEN, DAVID - Battelle Memorial Institute |
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EDGAR, COLIN - University Of Alaska |
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EUSKIRCHEN, EUGENIE - University Of Alaska |
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BRACHO, ROSVEL - University Of Florida |
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EWERS, BRENT - University Of Wyoming |
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FLANAGAN, LAWRENCE - University Of Lethbridge |
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FLORIAN, CHRISTOPHER - Battelle Memorial Institute |
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FOORD, VANESSA - British Colombia Ministry Of Forests And Range |
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FORBRICH, INKE - University Of Toledo |
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FORSYTHE, BRANDON - Pennsylvania State University |
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FRANK, JOHN - Us Forest Service (FS) |
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GARATUZA-PAYAN, JAIME - Virginia Commonwealth University |
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Goslee, Sarah |
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GOUGH, CHRISTOPHER - Virginia Commonwealth University |
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GREEN, MARK - Case Western Reserve University (CWRU) |
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GRIFFIS, TIMOTHY - University Of Minnesota |
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HELBIG, MANUEL - Dalhousie University |
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HILL, ANDREW - Us Forest Service (FS) |
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HINKLE, CHARLES - University Of Central Florida |
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HORNE, JASON - Pennsylvania State University |
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HUMPHREYS, ELYN - Carleton University - Canada |
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IKAWA, HIROKI - Institute For Agro Environmental And Forestry Biology (IBAF-CNR) |
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IWAHANA, GO - University Of Alaska |
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JASSAL, RACHHPAL - University Of British Columbia |
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JOHNSON, BRUCE - University Of Saskatchewan |
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JOHNSON, MARK - University Of British Columbia |
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KANNENBERG, STEVEN - West Virginia University |
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KELSEY, ERIC - Plymouth State University |
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KING, JOHN - North Carolina State University |
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KNOWLES, JOHN - California State University |
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KNOX, SARA - University Of British Columbia |
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KOBAYASHI, HIDEKI - Japan Agency For Marine-Earth Science And Technology (JAMSTEC) |
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KOLB, THOMAS - Northern Arizona University |
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KOLKA, RANDY - Us Forest Service (FS) |
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KRAUSS, KEN - Us Geological Survey (USGS) |
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KUTZBACH, LARS - University Of Hamburg |
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LAMB, BRIAN - Washington State University |
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LAW, BEVERLY - Oregon State University |
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LEE, SUNG-CHING - Max Planck Institute For Biogeochemistry |
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LEE, XUHUI - Yale University |
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LIU, HEPING - Washington State University |
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LOESCHER, HENRY - University Of Colorado |
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MALONE, SPARKLE - Yale University |
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MATAMALA, ROSER - Argonne National Laboratory |
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MAURITZ, MARGUERITE - University Of Texas - El Paso |
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METZGER, STEFAN - National Ecological Observatory Network (NEON) |
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MEYER, GESA - Environment And Climate Change Canada |
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MITRA, BHASKAR - The James Hutton Institute |
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MUNGER, J. - Harvard University |
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NESIC, ZORAN - University Of British Columbia |
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NOORMETS, ASKO - Texas A&M University |
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O'HALLORAN, THOMAS - Clemson University |
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O'KEEFFE, PATRICK - Washington State University |
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OBERBAUER, STEVEN - Florida International University |
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OECHEL, WALTER - San Diego State University |
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OIKAWA, PATTY - California State University |
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OLIVAS, PAULO - Florida International University |
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OUIMETTE, ANDREW - Us Forest Service (FS) |
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PASTORELLO, GILBERTO - Lawrence Berkeley National Laboratory |
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PEREZ-QUEZADA, JORGE - University Of Chile |
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Phillips, Claire |
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POSSE, GABRIELA - Instituto Nacional De Tecnologia Agropecuaria |
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QU, BO - Universite De Montreal |
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Scott, Russell |
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Reba, Michele |
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Wang, Dong |
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Schreiner-Mcgraw, Adam |
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Submitted to: Agricultural and Forest Meteorology
Publication Type: Peer Reviewed Journal Publication Acceptance Date: 6/5/2025 Publication Date: 6/24/2025 Citation: Reed, D., Chu, H., Peter, B., Chen, J., Abraha, M., Amiro, B., Anderson, R.G., Arain, M., Arruda, P., Barron-Gafford, G., Bernacchi, C.J., Beverly, D., Biraud, S., Black, A., Blanken, P., Bohrer, G., Bowler, R., Bowling, D., Bret-Harte, M., Bretfeld, M., Brunsell, N., Bullock, S., Celis, G., Chen, X., Classen, A., Cook, D., Cueva, A., Dalmagro, H., Davis, K., Desai, A., Duff, A., Dunn, A., Durden, D., Edgar, C., Euskirchen, E., Bracho, R., Ewers, B., Flanagan, L., Florian, C., Foord, V., Forbrich, I., Forsythe, B., Frank, J., Garatuza-Payan, J., Goslee, S.C., Gough, C., Green, M., Griffis, T., Helbig, M., Hill, A., Hinkle, C., Horne, J., Humphreys, E., Ikawa, H., Iwahana, G., Jassal, R., Johnson, B., Johnson, M., Kannenberg, S., Kelsey, E., King, J., Knowles, J., Knox, S., Kobayashi, H., Kolb, T., Kolka, R., Krauss, K., Kutzbach, L., Lamb, B., Law, B., Lee, S., Lee, X., Liu, H., Loescher, H., Malone, S., Matamala, R., Mauritz, M., Metzger, S., Meyer, G., Mitra, B., Munger, J., Nesic, Z., Noormets, A., O'Halloran, T., O'Keeffe, P., Oberbauer, S., Oechel, W., Oikawa, P., Olivas, P., Ouimette, A., Pastorello, G., Perez-Quezada, J., Phillips, C.L., Posse, G., Qu, B., Scott, R.L., Reba, M.L., Wang, D., Schreiner-Mcgraw, A.P. 2025. Network of networks: Time-series clustering of Ameriflux sites. Agricultural and Forest Meteorology. https://doi.org/10.1016/j.agrformet.2025.110686. DOI: https://doi.org/10.1016/j.agrformet.2025.110686 Interpretive Summary: The impacts of climate change on ecosystems are assessed in part from environmental measurement networks that share data. AmeriFlux is a network of sites that monitor water, carbon, and energy exchange in ecosystems from northern Alaska to South America. The AmeriFlux network is mainly composed of sites that volunteer to share their data in common formats. However, the fact that the network is not designed, but is instead composed of volunteered sites, raises questions about whether research sites are redundant, with some ecosystems over sampled and others missing across the Americas. Here we used data from more than 300 research sites in the AmeriFlux network to cluster the sites into similar groups based on their weather conditions and flux characteristics. By quantifying unique or under-sampled areas within the network, our analysis helps to inform which regions within the network should be better represented with more measurement sites and computer model simulations to better project the effects of climate change on ecosystems. This work should be useful to the scientific community, including program administrators and researchers, who are considering how to share scientific resources equitably, and how to prioritize research targets to evaluate climate change impacts. Technical Abstract: Environmental observation networks, such as AmeriFlux, are foundational for monitoring Earth’s response to climate change, management, and disturbance, but their representativeness of continental regions is uneven. We use an innovative empirical approach to examine the similarity of existing AmeriFlux sites based on the data’s temporal features. We find that sites cluster along latitudinal gradients in air temperature, net radiation, and vapor pressure deficit; however, net ecosystem exchange, latent heat, and sensible heat fluxes share similar temporal characteristics across most sites in Canada and the US, spanning multiple ecoregions, ecosystem types, and climate zones. Using a multivariate uniqueness parameter, we highlight individual sites or clusters that are distinct distinctive within the network, such as those in Florida, Hawaii, northern Alaska, Central, and South America, and most mountainous areas. Furthermore, our analysis elucidates the regions that are over- or under-sampled and justifies multi-site comparison studies across spatially distant sites. |
