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    GPP: Site-scale and global model outputs from P-model used for Stocker et al. (2019) Nature Geosci.

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    <p><strong>Data from article Stocker et al. (in review) *Nature Geosci.*</strong></p> <p>The datasets provided here include:</p> <ul> <li>Site-level GPP model results from the P-model (Wang et al., 2017)</li> <li>Model outputs from global simulations with the P-model (Wang et al., 2017) as implemented for the study by Stocker et al. (2019)</li> </ul> <p>This data may be used to partly reproduce results presented in Stocker et al. (2019) <em>Nature Geosci</em>. "Partly" because we used data for our analysis that was not open access but was confidentially shared with us. This includes remote sensing-based GPP estimates from the BESS and VPM models. Other open access data that was used for the analysis may not be distributed under this DOI. This includes FLUXNET 2015 data and MODIS data.</p> <p>For reproducing results of Stocker et al. (2019) regarding site-scale evaluations, run for example the scripts `plot_bias_all.R` and `plot_bias_problem.R`, available from <a href="https://github.com/stineb/soilm_global">Github</a> or <a href="http://doi.org/10.5281/zenodo.1423328">Zenodo</a>, using CSV files provided here (see comments in scripts). For more insight, including analysis of global simulation outputs, see RMarkdown file `si_soilm_global.Rmd`. This renders the supplementary information PDF document provided along with Stocker et al. (2019), which is available also on <a href="http://rpubs.com/stineb/si_soilm_global2">RPubs</a>.</p> <p>The present datasets are prepared by script `prepare_data_openaccess.R ` on <a href="https://github.com/stineb/soilm_global">Github</a> or <a href="https://zenodo.org/record/1286966#.W6TFipMzbUI">Zenodo</a>.</p> <p><strong>Data description</strong></p> <p><em>Site-level data</em></p> <p>Data is provided as CSV files:</p> <ul> <li>`gpp_daily_fluxnet_stocker18natgeo.csv`: Daily data for full time series (not including MODIS GPP)</li> <li>`gpp_8daily_fluxnet_stocker18natgeo.csv`: Data aggregated to 8-day periods corresponding to MODIS dates (including MODIS GPP)</li> <li>`gpp_alg_daily_fluxnet_stocker18natgeo.csv`: Data filtered to periods with substantial soil moisture effects ("fLUE droughts" following Stocker et al. (2018a))</li> <li>`gpp_alg_8daily_fluxnet_stocker18natgeo.csv`: Data aggregated to 8-day periods and filtered to periods with substantial soil moisture effects.</li> </ul> <p>Each column is a variable with the following name and units (not all variables are available in all files):</p> <ul> <li>`site_id`: FLUXNET site ID </li> <li>`date`: Date of measurement, units: YYYY-MM-DD</li> <li>`gpp_pmodel` and `gpp_modis`: Simulated GPP from the P-model and MODIS (see Stocker et al. (2018b), Methods, RS models), units: g C m-2 d-1 (mean across 8 day periods in respective files)</li> <li>`aet_splash`: Simulated actual evapotranspiration from the SPLASH model (Davis et al., 2017), units: mm d-1</li> <li>`pet_splash`: Simulated potential evapotranspiration from the SPLASH model (Davis et al., 2017), units: mm d-1</li> <li>`soilm_splash`: Soil moisture simulated by the SPLASH model (Davis et al., 2017), normalised to vary between zero and one at the maximum water holding capacity, unitless.</li> <li>`flue`: fLUE estimate from Stocker et al. (2018). Estimates soil moisture stress on light use efficiency from flux data, unitless.</li> <li>`beta_a`, `beta_b`, and `beta_c`: Empirical soil moisture stress, used as multiplier to simulated GPP as described in Stocker et al. (2018b), unitless.</li> </ul> <p><em>Global P-model simulation outputs</em></p> <p>GPP and soil moisture output is provided as NetCDF files for simulations s0, and s1b (see Stocker et al. (2018b)). All meta information is provided therein. Files for simulation s1b are names as follows (for outputs from other simulations replace s1b with other simulation name). The fraction of each gridcell covered by land (not open water or ice) is given by separate file `s1b_fapar3g_v2_global.fland.nc`.</p> <ul> <li>`s1b_fapar3g_v2_global.d.gpp.nc`: Daily GPP from simulation s1b.</li> <li>`s1b_fapar3g_v2_global.d.wcont.nc`: Daily soil moisture from simulation s1b (is identical in other simulations, therefore not provided.)</li> </ul> <p>Due to limited total file size allowed for uploads to Zenodo, only outputs from s1b are provided here. Other outputs may be obtained upon request addressed to [email protected]. </p> <p><strong>References</strong></p> <p>Davis, T. W. et al. Simple process-led algorithms for simulating habitats (SPLASH v.1.0): robust indices of radiation, evapotranspiration and plant-available moisture. Geoscientific Model Development 10, 689–708 (2017).<br> Hufkens, K. khufkens/gee_subset: Google Earth Engine subset script & library. (2017). doi:10.5281/zenodo.833789Running, S. W. et al. A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production. Bioscience 54, 547–560 (2004).<br> Stocker, B. et al., Quantifying soil moisture impacts on light use efficiency across biomes, New Phytologist, doi: 10.1111/nph.15123 (2018a).<br> Stocker, B. et al., Satellite monitoring underestimates the impact of drought on terrestrial primary productivity, Nature Geoscience (2019).<br> Wang, H. et al. Towards a universal model for carbon dioxide uptake by plants. Nat Plants 3, 734–741 (2017).<br>  </p&gt
    ZENODO
    The Francis Crick Institute

    GPP at FLUXNET Tier 1 sites from P-model

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    Gross primary production, simulated by the P-model for each FLUXNET 2015 Tier 1 site. The model was driven by site-specific meteorological forcing and MODIS FPAR, extracted for the pixel corresponding to the site location. The CSV files contain simulated GPP values from different model setups conducted with the P-model and used for the publication Stocker et al. Geosci. Mod. Dev. (in review). One file is given for each temporal aggregation level (daily, 8-daily, annual, spatial [= mean annual value by site], and mean seasonal cycle [= mean per day-of-year]. Each file contains output from all model setups presented in Stocker et al. (2019), as given by column setup. The data differs slightly for each file: Daily gpp_pmodel_fluxnet2015_stocker19gmd_daily.csv: sitename: A character specifying the site ID following the naming given by FLUXNET 2015. date: YYYY-MM-DD), date_start (in _8daily, YYYY-MM-DD specifying the first day of the respective 8-day period), year (in _annual, YYYY), doy (in __meanseason, specifying the day-of-year), gpp: Simulated gross primary production, in units of g C m-2 d-1 setup: A character specifying the model setup name used in Stocker et al. (2019). See also below. 8-daily gpp_pmodel_fluxnet2015_stocker19gmd_8daily.csv: sitename: A character specifying the site ID following the naming given by FLUXNET 2015. date_start : YYYY-MM-DD specifying the first day of the respective 8-day period gpp: Simulated gross primary production, in units of g C m-2 d-1 setup: A character specifying the model setup name used in Stocker et al. (2019). See also below. Annual gpp_pmodel_fluxnet2015_stocker19gmd_annual.csv: sitename: A character specifying the site ID following the naming given by FLUXNET 2015. year: YYYY gpp: Simulated gross primary production, in units of g C m-2 yr-1 setup: A character specifying the model setup name used in Stocker et al. (2019). See also below. Spatial gpp_pmodel_fluxnet2015_stocker19gmd_spatial.csv: sitename: A character specifying the site ID following the naming given by FLUXNET 2015. gpp: Simulated gross primary production, in units of g C m-2 yr-1 setup: A character specifying the model setup name used in Stocker et al. (2019). See also below. Mean seasonal cycle gpp_pmodel_fluxnet2015_stocker19gmd_meanseason.csv: sitename: A character specifying the site ID following the naming given by FLUXNET 2015. doy: day-of-year gpp: Simulated gross primary production, in units of g C m-2 d-1 setup: A character specifying the model setup name used in Stocker et al. (2019). See also below.  </p
    ZENODO
    The Francis Crick Institute

    GPP at FLUXNET Tier 1 sites from P-model

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    &lt;p&gt;Gross primary production, simulated by the P-model for each FLUXNET 2015 Tier 1 site. The model was driven by site-specific meteorological forcing and MODIS FPAR, extracted for the pixel corresponding to the site location.&lt;/p&gt; &lt;p&gt;The CSV files contain simulated GPP values from different model setups conducted with the P-model and used for the publication Stocker et al.&nbsp;&lt;em&gt;Geosci. Mod. Dev. &lt;/em&gt;(in review). One file is given for each temporal aggregation level (daily, 8-daily, annual, spatial [= mean annual value by site], and mean seasonal cycle [= mean per day-of-year]. Each file contains output from all model setups presented in Stocker et al. (2019), as given by column &lt;em&gt;setup&lt;/em&gt;.&lt;/p&gt; &lt;p&gt;The data differs slightly for each file:&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Daily&lt;/strong&gt;&nbsp;gpp_pmodel_fluxnet2015_stocker19gmd_daily.csv:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&lt;em&gt;sitename&lt;/em&gt;: A character specifying the site ID following the naming given by FLUXNET 2015.&lt;/li&gt; &lt;li&gt;&lt;em&gt;date:&nbsp;&lt;/em&gt;YYYY-MM-DD), date_start (in _8daily, YYYY-MM-DD specifying the first day of the respective 8-day period), year (in _annual, YYYY), doy (in __meanseason, specifying the day-of-year),&lt;/li&gt; &lt;li&gt;&lt;em&gt;gpp&lt;/em&gt;: Simulated gross primary production, in units of g C m&lt;sup&gt;-2&lt;/sup&gt; d&lt;sup&gt;-1&lt;/sup&gt;&lt;/li&gt; &lt;li&gt;&lt;em&gt;setup&lt;/em&gt;: A character specifying the model setup name used in Stocker et al. (2019). See also below.&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;8-daily&lt;/strong&gt;&nbsp;gpp_pmodel_fluxnet2015_stocker19gmd_8daily.csv:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&lt;em&gt;sitename&lt;/em&gt;: A character specifying the site ID following the naming given by FLUXNET 2015.&lt;/li&gt; &lt;li&gt;&lt;em&gt;date_start&lt;/em&gt;&nbsp;: YYYY-MM-DD specifying the first day of the respective 8-day period&lt;/li&gt; &lt;li&gt;&lt;em&gt;gpp&lt;/em&gt;: Simulated gross primary production, in units of g C m&lt;sup&gt;-2&lt;/sup&gt; d&lt;sup&gt;-1&lt;/sup&gt;&lt;/li&gt; &lt;li&gt;&lt;em&gt;setup&lt;/em&gt;: A character specifying the model setup name used in Stocker et al. (2019). See also below.&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;Annual&lt;/strong&gt;&nbsp;gpp_pmodel_fluxnet2015_stocker19gmd_annual.csv:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&lt;em&gt;sitename&lt;/em&gt;: A character specifying the site ID following the naming given by FLUXNET 2015.&lt;/li&gt; &lt;li&gt;&lt;em&gt;year:&nbsp;&lt;/em&gt;YYYY&lt;/li&gt; &lt;li&gt;&lt;em&gt;gpp&lt;/em&gt;: Simulated gross primary production, in units of g C m&lt;sup&gt;-2&lt;/sup&gt;&nbsp;yr&lt;sup&gt;-1&lt;/sup&gt;&lt;/li&gt; &lt;li&gt;&lt;em&gt;setup&lt;/em&gt;: A character specifying the model setup name used in Stocker et al. (2019). See also below.&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;Spatial&lt;/strong&gt;&nbsp;gpp_pmodel_fluxnet2015_stocker19gmd_spatial.csv:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&lt;em&gt;sitename&lt;/em&gt;: A character specifying the site ID following the naming given by FLUXNET 2015.&lt;/li&gt; &lt;li&gt;&lt;em&gt;gpp&lt;/em&gt;: Simulated gross primary production, in units of g C m&lt;sup&gt;-2&lt;/sup&gt;&nbsp;yr&lt;sup&gt;-1&lt;/sup&gt;&lt;/li&gt; &lt;li&gt;&lt;em&gt;setup&lt;/em&gt;: A character specifying the model setup name used in Stocker et al. (2019). See also below.&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;Mean seasonal cycle&lt;/strong&gt;&nbsp;gpp_pmodel_fluxnet2015_stocker19gmd_meanseason.csv:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&lt;em&gt;sitename&lt;/em&gt;: A character specifying the site ID following the naming given by FLUXNET 2015.&lt;/li&gt; &lt;li&gt;&lt;em&gt;doy:&nbsp;&lt;/em&gt;day-of-year&lt;/li&gt; &lt;li&gt;&lt;em&gt;gpp&lt;/em&gt;: Simulated gross primary production, in units of g C m&lt;sup&gt;-2&lt;/sup&gt; d&lt;sup&gt;-1&lt;/sup&gt;&lt;/li&gt; &lt;li&gt;&lt;em&gt;setup&lt;/em&gt;: A character specifying the model setup name used in Stocker et al. (2019). See also below.&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&nbsp;&lt;/p&gt; &lt;p&gt;| setup name &nbsp; | fAPAR data &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; | GPP target data | SM limit. &nbsp;| temp stress |&lt;br&gt; |--------------|----------------------------------|---------------- |------------|-------------|&lt;br&gt; | ORG &nbsp; &nbsp; &nbsp; | MODIS FPAR MCD15A3H, splined &nbsp; &nbsp; | NT &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;| no &nbsp; &nbsp; &nbsp; &nbsp; | no &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;|&lt;br&gt; | BRC&nbsp; &nbsp; &nbsp; &nbsp; | MODIS FPAR MCD15A3H, splined &nbsp; &nbsp; | NT &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;| no &nbsp; &nbsp; &nbsp; &nbsp; | yes &nbsp; &nbsp; &nbsp; &nbsp; |&lt;br&gt; | FULL &nbsp; &nbsp; &nbsp; | MODIS FPAR MCD15A3H, splined &nbsp; &nbsp; | NT &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;| yes &nbsp; &nbsp; &nbsp; &nbsp;| yes &nbsp; &nbsp; &nbsp; &nbsp; |&lt;br&gt; |--------------|----------------------------------|---------------- |------------|-------------|&lt;br&gt; | FULL_FPARitp | MODIS FPAR MCD15A3H, interpolated| NT &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;| yes &nbsp; &nbsp; &nbsp; &nbsp;| yes &nbsp; &nbsp; &nbsp; &nbsp; |&lt;br&gt; | FULL_EVI &nbsp; &nbsp; | MODIS EVI MOD13Q1, interpolated &nbsp;| NT &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;| yes &nbsp; &nbsp; &nbsp; &nbsp;| yes &nbsp; &nbsp; &nbsp; &nbsp; |&lt;br&gt; |--------------|----------------------------------|---------------- |------------|-------------|&lt;br&gt; | FULL_DT &nbsp; &nbsp; &nbsp;| MODIS FPAR MCD15A3H, splined &nbsp; &nbsp; | DT &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;| yes &nbsp; &nbsp; &nbsp; &nbsp;| yes &nbsp; &nbsp; &nbsp; &nbsp; |&lt;br&gt; | FULL_NTsub &nbsp; | MODIS FPAR MCD15A3H, splined &nbsp; &nbsp; | NTsub &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; | yes &nbsp; &nbsp; &nbsp; &nbsp;| yes &nbsp; &nbsp; &nbsp; &nbsp; |&lt;br&gt; | FULL_Ty &nbsp; &nbsp; &nbsp;| MODIS FPAR MCD15A3H, splined &nbsp; &nbsp; | Ty &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;| yes &nbsp; &nbsp; &nbsp; &nbsp;| yes &nbsp; &nbsp; &nbsp; &nbsp; |&lt;br&gt; |--------------|----------------------------------|---------------- |------------|-------------|&lt;br&gt; &nbsp;&lt;/p&gt
    ZENODO
    The Francis Crick Institute

    The construction of Karen Karnak: The multi-author-function

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    This thesis is situated within the comparatively recent developments of Web 2.0 and the emergence of interactive WikiMedia, and explores the mode of authorship within a Read/Write culture compared to that of a Read/Only tradition. The hypothesis of this study is that the role of the audience has become merged with the author, and as such, represents new functions and attributes, distinct from a more conventional concept of authorship, in which the roles of audience and author are more separate. Read/Write and participatory culture, as defined by this study, is focused on collaboration, and includes the influences of D.I.Y. culture, Open-Source practices and the production of text by multiple authors. Multi-authorship presents a re-thinking of several concepts which support the notion of the individual author, since the focus of multi-authorship is not on attribution and ownership of a finished text, but on the continued malleability of a text. Modes of multi-authorship, demonstrated in the use of the pseudonyms Alan Smithee and Karen Eliot, represent declarative authors whose names signify multiple origins, whilst concurrently indicating a distinct body of work. The function of these names form an important context to this study, since primary research involves the construction of an experimental mode of multi-authorship utilising WikiMedia technology and the interaction of thirty nine participants, who are invited to create a body of work under the collective pseudonym Karen Karnak. The data generated by this experiment is analysed using aspects of Michel Foucault's author-function to identify and determine power structures inherent in the WikiMedia context. The interplay of power structures, including concepts such as identity, ownership and the body of work, affect the resulting mode of authorship and contribute to the construction of Karen Karnak, suggesting further areas of research into the emerging multi-author
    Research Commons@Waikato

    Extensive global wetland loss over the past three centuries

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    GRO.publications
    GRO.publications (Univ. Göttingen)

    Contrasting CO2 emissions from different Holocene land-use reconstructions: Does the carbon budget add up?

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    BORIS Portal Bern Open Repository and Information System

    Reconsideración del elemento trilobulado en Mesoamérica: examen de los datos, interpretaciones sobre su continuidad y sugerencias para investigaciones futuras. 30. Arqueología

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Symbolic Notation of Teotihuacan: Elements of Writing in a Mesoamerican Culture of the Classic Period, BAR International Series, 313, Oxford.Lischka, J. 1978. “A Functional Analysis of Middle Classic Ceramics at Kaminaljuyu”, en R. Wetherington (ed.), The Ceramics of Kaminaljuyu, Guatemala, Pennsylvania State University Press Monograph Series on Kaminaljuyu, pp. 223-278.Longyear, J. 1952. Copan Ceramics; A Study of Southeastern Maya Pottery, Carnegie Institution of Washington Pub. 597, Washington D.C., Carnegie Institution.Marcus, J. 1976. “The Iconography of Militarism at Monte Alban and Neighboring Sites in the Valleys of Oaxaca”, en H. B. Nicholson (ed.), Origins of Religious Art and Iconography in Preclassic Mesoamerica, UCLA Latin American Studies Series, vol. 31. Los Angeles, The Ethnic Arts Council of Los Angeles, pp. 123-140.Marcus, J., K. Flannery, y R. Spores 1983. “The Cultural Legacy of the Oaxacan Preceramic”, en K. Flannery y J. Marcus (eds.), The Cloud People: Divergent Evolution of the Zapotec and Mixtec Civilizations, New York, Academic Press, pp. 36-39.Matos Moctezuma, E. 1965. “El adoratorio decorado de las calles de Argentina”, Anales del Instituto Nacional de Antropología e Historia, tomo XVII, México, INAH, pp. 127-38.Miller, Arthur G. 1973. The Mural Painting of Teotihuacan, Washington D. C., Dumbarton Oaks.Millon, C. 1973. “Painting, Writing, and Polity in Teotihuacan, Mexico”, American Antiquity, núm. 38, pp. 294-313.1988. “A Reexamination of the Teotihuacan Tassel Headdress Insignia”, en K. Berrin (ed.), Feathered Serpents and Flowering Trees, San Francisco, The Fine Arts Museum, pp. 114-134.Nicholson, H. B. (ed.) 1976. Origins of Religious Art and Iconography in Preclassic Mesoamerica, UCLA Latin American Study Series, vol. 31, Los Angeles, The Ethnic Arts Council of Los Angeles.1976a. “Preclassic Mesoamerican Iconography from the Perspective of the Postclassic: Problems in Interpretational Analysis”, en H. B. Nicholson (ed.), Origins of Religious Art and Iconography in Preclassic Mesoamerica, UCLA Latin American Study Series, vol. 31, Los Angeles, The Ethnic Arts Council of Los Angeles, pp. 123-140.Norr, L. 1987. “Postclassic Artifacts from Tetla”, en D. Grove (ed.), Ancient Chalcatzingo, Austin, University of Texas Press, pp. 525-546.Offner, J. 1983. Law and Politics in Aztec Texcoco, New York, Cambridge University Press.Pasztory, E. 1976. The Murals of Tepantitla, Teotihuacan, New York, Garland. 1983. Aztec Art, Harry N. Abrams, New York.1988. “A Reinterpretation of Teotihuacan and Its Mural Painting Tradition”, en K. Berrin (ed.), Feathered Serpents and Flowering Trees, San Francisco, The Fine Arts Museum, pp. 5-77.Plunket, P. y G. Uruñuela s.f. “La iconografía del poder: la Triple Alianza en el occidente de Puebla”, mecanoescrito.Quirarte, J. 1976. “The Relationship of Izapan-Style AA to Olmec and Maya Art: A Review”, en H. B. Nicholson (ed.), Origins of Religious Art and Iconography in Preclassic Mesoamerica, UCLA Latin American Study Series, vol. 31, Los Angeles, The Ethnic Arts Council of Los Angeles, pp. 73-86.Reyes-Valerio, C. 1978. Arte Indocristiano, Mexico, Instituto Nacional de Antropología e Historia.Rice, P. 1983. “Serpents and Styles in Peten Postclassic Pottery”, American Anthropologist, núm. 85, pp. 866-880.Robicsek, F. 1972. Copan Home of the Mayan Gods, New York, Heye Foundation.Sahagún, B. 1954. “Kings and Lords, Book 8”, The Florentine Codex: General History of the Things of New Spain, A. J. O. Anderson y C. Dibble (trad.), 14 vols., Santa Fe, New Mexico, Monographs of the School of American Research and the University of Utah.1970. “The Gods, Book 1”, The Florentine Codex: General History of the Things of New Spain, A. J. O. Anderson y C. Dibble (trad.), 14 vols., Santa Fe, New Mexico, Monographs of the School of American Research and the University of Utah.1979. “The Soothsayers, Book 4”, en The Florentine Codex: General History of the Things of New Spain, A. J. O. Anderson y C. Dibble (trad.), 14 vols., Santa Fe, New Mexico, Monographs of the School of American Research and the University of Utah.Schele, L. y M. Miller 1986. The Blood of Kings: Dynasty and Ritual in Maya Art, Fort Worth, Texas, Kimbell Art Museum.Séjourné, L. 1959. Un Palacio en la Ciudad de los Dioses, México, Instituto Nacional de Antropología e Historia.Soustelle, J. 1970. Daily Life of the Aztecs on the Eve of the Spanish Conquest, Stanford, California, Stanford University Press.Steward, M. y T. Stocker 1992. “Referents in Olmec Art”, Semiotics 1990, New York, University Press of America.Stuart, D. 2000. “The Arrival of Strangers: Teotihuacan and Tollan in Classic Maya History”, en D. Carrasco, L. Jones, y S. Sessions (eds.), Mesoamerica’s Classic Heritage: From Teotihuacan to the Aztecs, Boulder, University Press of Colorado, pp. 465-513.Stirling, M. 1955. “Stone Monuments of Rio Chiquito, Veracruz, Mexico”, Bureau of American Ethnology, Bulletin 157, Washington, D. C., Smithsonian Institution.Stocker, T. 1983. “Clay Figurines from Tula, Hidalgo, Mexico”, tesis doctoral de la Universidad de Illinois.1987. “Conquest, Tribute and the Rise of the State”, en L. Manzanilla (ed.), Studies in the Neolithic and Urban Revolutions, Oxford, BAR International Series 349, pp. 65-376.1990. “A Dilemma for Mexican Archaeology”, Mexicon, núm. 7, pp. 44-46.1991. “Discussion: Empire Formation, Figurine Function, and Figurine Distribution”, en T. Stocker (ed.), The New World Figurine Project, vol. 1, Utah, Research Press, Provo, pp. 145-165.2000. “Ethnohistorical Input for the Mesoamerican Obsidian Industry”, Nahua Newsletter, núm. 30, pp. 27-31.2001. “Nexos iconográficos entre las columnas de Tula y los discos de oro de Chichén Itzá”, Arqueología, núm. 26, México, INAH, pp. 71-87. s.f. “Teotihuacan as the Center of a Territorial Empire”, mecanoescrito.Stocker, T., G. Dodge y T. Prewitt s.f. “Comments on the Possibility of Pictorial Graphemes at Teotihuacan”, mecanoescrito.Stocker, T. y B. Jackson s.f. “The Gulf Coast Shell and The Highland Sword”, ponencia presentada en 48th Annual Meeting of the Society for American Archaeology, Pittsburgh, 1983.Stocker, T. y D. James 1988. Semiotic Analysis of Prehistoric Texts: Monument II at Chalcatzingo, Morelos, Mexico, en J. Deely (ed.), Semiotics 1987, Lawhorn, Maryland, University Press of America, pp. 183-192Stocker, T. y S. Lamb 1985. “Mysteries of the Mexican Códices”, Explorers Journal, núm. 63, pp. 2-7.1991. “The Need for a Central Data Bank of Figurine Data”, en T. Stocker (ed.), The New World Figurine Project, vol. 1, Utah, Research Press, Provo, pp. 139-143.Stocker, T. y M. Spence 1973. “Trilobal Eccentrics at Teotihuacan and Tula”, American Antiquity, núm. 38, pp. 195-199.Tozzer, Alfred M. 1941. “Landa’s Relación de las cosas de Yucatán”, Papers of the Peabody Museum of Archaeology and Ethnology, 18, Cambridge, Mass, Harvard University Press.Villagra Caleti, A. 1971. “Mural Painting in Central Mexico”, en R. Wauchope (ed.), Handbook of Middle American Indians, vol. 10, Austin, Texas, University of Texas Press, pp. 135-156.Von Winning, Hasso 1947. “A sign for dripping water in the Teotihuacan culture”, El México Antiguo, núm. 6, pp. 333- 341.1984. “Insignias de oficio en la iconografía de Teotihuacan”, Pantoc, núm. 8, México, Publicaciones Antropológicas de Occidente, Universidad Autónoma de Guadalajara, pp. 5-54
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    geco-bern/leafnp: v1.0.1: Added figure data files

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    &lt;div&gt; &lt;h1&gt;leafnp&lt;/h1&gt; &lt;a href="https://github.com/geco-bern/leafnp#leafnp"&gt;&lt;/a&gt;&lt;/div&gt; &lt;p&gt;This repository contains R code for all analyses and modelling used for the following article:&lt;/p&gt; &lt;p&gt;&lt;em&gt;Di Tian, Zhengbing Yan, Bernhard Schmid, Jens Kattge, Jingyun Fang, Benjamin D. Stocker: Environmental versus phylogenetic controls on leaf nitrogen and phosphorous concentrations of terrestrial plants. (in review)&lt;/em&gt;&lt;/p&gt; &lt;div&gt; &lt;h2&gt;Preparation&lt;/h2&gt; &lt;a href="https://github.com/geco-bern/leafnp#preparation"&gt;&lt;/a&gt;&lt;/div&gt; &lt;p&gt;The analysis uses the published dataset of leaf N, P, and N:P concentrations by Tian et al (2019), complemented with environmental covariate data for the present analysis. The complemented dataset and code for generating it in contained in the dataset repository&nbsp;&lt;a href="https://github.com/geco-bern/leafnp_data"&gt;leafnp_data&lt;/a&gt;.&lt;/p&gt; &lt;p&gt;Download the file and adjust the paths to your local copy of the data file in vignettes (&lt;code&gt;vignettes/*.Rmd&lt;/code&gt;) of this repository.&lt;/p&gt; &lt;div&gt; &lt;h2&gt;Workflow&lt;/h2&gt; &lt;a href="https://github.com/geco-bern/leafnp#workflow"&gt;&lt;/a&gt;&lt;/div&gt; &lt;p&gt;To reproduce the analysis, obtain the data file from above-mentioned source. Then, run code contained in the following files&lt;/p&gt; &lt;ol&gt; &lt;li&gt;Data preparation &lt;ul&gt; &lt;li&gt;Code:&nbsp;&lt;code&gt;vignettes/prepare_data.Rmd&lt;/code&gt;.&lt;/li&gt; &lt;li&gt;Reads local file&nbsp;&lt;code&gt;leafnp_data_covariates_20210702.csv&lt;/code&gt;&nbsp;(not in this repository).&lt;/li&gt; &lt;li&gt;Writes file&nbsp;&lt;code&gt;data/dfs_leafnp_20210729.rds&lt;/code&gt;.&lt;/li&gt; &lt;/ul&gt; &lt;/li&gt; &lt;li&gt;Feature elimination: The (computationally costly) job is performed in a High Performance Computing environment. &lt;ul&gt; &lt;li&gt;Code:&nbsp;&lt;code&gt;src/submit_feature_elimination_leafnp.sh&lt;/code&gt;&nbsp;and&nbsp;&lt;code&gt;analysis/feature_elimination_leafnp.R&lt;/code&gt;&nbsp;run and evaluate jobs.&lt;/li&gt; &lt;li&gt;Outputs from jobs are collected, analysed and visualised by&nbsp;&lt;code&gt;vignettes/feature_elimination_leafnp.Rmd&lt;/code&gt;.&lt;/li&gt; &lt;li&gt;"Intermediate data files" created by the feature elimination and used in&nbsp;&lt;code&gt;vignettes/feature_elimination_leafnp.Rmd&lt;/code&gt;&nbsp;are contained in this repository.&lt;/li&gt; &lt;li&gt;Model coefficients from LMMs, shown Fig. 2 (d,e,f) are created in&nbsp;&lt;code&gt;vignettes/model_fitting.Rmd&lt;/code&gt;.&lt;/li&gt; &lt;/ul&gt; &lt;/li&gt; &lt;li&gt;Model fitting: &lt;ul&gt; &lt;li&gt;Code:&nbsp;&lt;code&gt;vignettes/model_fitting.Rmd&lt;/code&gt;&lt;/li&gt; &lt;li&gt;Outputs: &lt;ul&gt; &lt;li&gt;&lt;strong&gt;Fig. 3&lt;/strong&gt;&nbsp;in Tian et al. The figure file is contained in this repository (&lt;code&gt;fig/bars_model_fitting.pdf&lt;/code&gt;).&lt;/li&gt; &lt;li&gt;&lt;strong&gt;Fig. 2&lt;/strong&gt;&nbsp;in Tian et al. The figure file is contained in this repository (&lt;code&gt;fig/bars_fe_tvals.pdf&lt;/code&gt;). This requires&nbsp;&lt;code&gt;vignettes/feature_elimination_leafnp.Rmd&lt;/code&gt;&nbsp;to be run first.&lt;/li&gt; &lt;/ul&gt; &lt;/li&gt; &lt;/ul&gt; &lt;/li&gt; &lt;li&gt;Trait gradient analysis: &lt;ul&gt; &lt;li&gt;Code:&nbsp;&lt;code&gt;vignettes/traitgradient.Rmd&lt;/code&gt;&lt;/li&gt; &lt;li&gt;Outputs:&nbsp;&lt;strong&gt;Fig. 4&lt;/strong&gt;&nbsp;in Tian et al. The figure file is contained in this repository (&lt;code&gt;fig/tga_log_all.pdf&lt;/code&gt;).&lt;/li&gt; &lt;/ul&gt; &lt;/li&gt; &lt;li&gt;Demo of trait gradient analysis &lt;ul&gt; &lt;li&gt;Code:&nbsp;&lt;code&gt;vignettes/tga_hypotheses.qmd&lt;/code&gt;&lt;/li&gt; &lt;li&gt;Outputs:&nbsp;&lt;code&gt;vignettes/tga_hypotheses.pdf&lt;/code&gt;. This document is submitted as supplementary information to the article Tian et al. (in review).&lt;/li&gt; &lt;/ul&gt; &lt;/li&gt; &lt;li&gt;Linear mixed effects model fitting explorations &lt;ul&gt; &lt;li&gt;Code:&nbsp;&lt;code&gt;vignettes/leafnp_fitting_order.Rmd&lt;/code&gt;&lt;/li&gt; &lt;li&gt;Outputs: a html document showing results of the explorations. Results were used in the discussion of the article Tian et al. (in review).&lt;/li&gt; &lt;/ul&gt; &lt;/li&gt; &lt;/ol&gt; &lt;p&gt;&lt;strong&gt;Note:&lt;/strong&gt;&nbsp;Published figures can be re-created directly using intermediate data objects stored in&nbsp;&lt;code&gt;data/data_published_figures&lt;/code&gt;.&lt;/p&gt; &lt;div&gt; &lt;h2&gt;Repository structure&lt;/h2&gt; &lt;a href="https://github.com/geco-bern/leafnp#repository-structure"&gt;&lt;/a&gt;&lt;/div&gt; &lt;div&gt; &lt;h3&gt;Folder&nbsp;&lt;code&gt;analysis&lt;/code&gt;&lt;/h3&gt; &lt;a href="https://github.com/geco-bern/leafnp#folder-analysis"&gt;&lt;/a&gt;&lt;/div&gt; &lt;p&gt;Contains scripts that can be ignored.&lt;/p&gt; &lt;div&gt; &lt;h3&gt;Folder&nbsp;&lt;code&gt;data&lt;/code&gt;&lt;/h3&gt; &lt;a href="https://github.com/geco-bern/leafnp#folder-data"&gt;&lt;/a&gt;&lt;/div&gt; &lt;p&gt;Contains data files produced by code of this repository.&lt;/p&gt; &lt;div&gt; &lt;h3&gt;Folder&nbsp;&lt;code&gt;vignettes&lt;/code&gt;&lt;/h3&gt; &lt;a href="https://github.com/geco-bern/leafnp#folder-vignettes"&gt;&lt;/a&gt;&lt;/div&gt; &lt;p&gt;Contains implementations of analyses used for the study Tian et al. (in review).&lt;/p&gt; &lt;div&gt; &lt;h2&gt;References&lt;/h2&gt; &lt;a href="https://github.com/geco-bern/leafnp#references"&gt;&lt;/a&gt;&lt;/div&gt; &lt;p&gt;Tian, D., Kattge, J., Chen, Y., Han, W., Luo, Y., He, J., Hu, H., Tang, Z., Ma, S., Yan, Z., Lin, Q., Schmid, B., and Fang, J.: A global database of paired leaf nitrogen and phosphorus concentrations of terrestrial plants, Ecology, 100, e02812,&nbsp;&lt;a href="https://doi.org/10.1002/ecy.2812" rel="nofollow"&gt;https://doi.org/10.1002/ecy.2812&lt;/a&gt;, 2019.&lt;/p&gt; &lt;p&gt;Di Tian, Zhengbing Yan, Bernhard Schmid, Jens Kattge, Jingyun Fang, Benjamin D. Stocker: Environmental versus phylogenetic controls on leaf nitrogen and phosphorous concentrations of terrestrial plants. (in review)&lt;/p&gt
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    Quantifying effects of cold acclimation and delayed springtime photosynthesis resumption in northern ecosystems

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    Land carbon dynamics in temperate and boreal ecosystems are sensitive to environmental change. Accurately simulating gross primary productivity (GPP) and its seasonality is key for reliable carbon cycle projections. However, significant biases have been found in early spring GPP simulations of northern forests, where observations often suggest a later resumption of photosynthetic activity than predicted by models. Here, we used eddy covariance-based GPP estimates from 39 forest sites that differ by their climate and dominant plant functional types. We used a mechanistic and an empirical light use efficiency (LUE) model to investigate the magnitude and environmental controls of delayed springtime photosynthesis resumption (DSPR) across sites. We found DSPR reduced ecosystem LUE by 30-70% at many, but not all site-years during spring. A significant depression of LUE was found not only in coniferous but also at deciduous forests and was related to combined high radiation and low minimum temperatures. By embedding cold-acclimation effects on LUE that considers the delayed effects of minimum temperatures, initial model bias in simulated springtime GPP was effectively resolved. This provides an approach to improve GPP estimates by considering physiological acclimation and enables more reliable simulations of photosynthesis in northern forests and projections in a warming climate
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    Filtration of submicrometer particles by pelagic tunicates

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    Author Posting. © The Author(s), 2010. This is the author's version of the work. It is posted here by permission of National Academy of Sciences for personal use, not for redistribution. The definitive version was published in Proceedings of the National Academy of Sciences of the United States of America 107 (2010): 15129-15134, doi:10.1073/pnas.1003599107.Salps are common in oceanic waters and have higher per individual filtration rates than any other zooplankton filter feeder. Though salps are centimeters in length, feeding via particle capture occurs on a fine, mucous mesh (fiber diameter d ~ 0.1 μm) at low velocity (U = 1.6 ± 0.6 cm s-1, mean ± SD) and is thus a low-Reynolds number (Re ~ 10-3) process. In contrast to the current view that particle encounter is dictated by simple sieving of particles larger than the mesh spacing, a low-Re mathematical model of encounter rates by the salp feeding apparatus for realistic oceanic particle size distributions shows that submicron particles, due to their higher abundances, are encountered at higher rates (particles per time) than larger particles. Data from feeding experiments with 0.5, 1 and 3 μm diameter polystyrene spheres corroborate these results. Though particles larger than 1 μm (e.g. flagellates, small diatoms) represent a larger carbon pool, smaller particles in the 0.1–1 μm range (e.g. bacteria, Prochlorococcus) may be more quickly digestible because they present more surface area, and we find that particles smaller than the mesh size (1.4 μm) can fully satisfy salp energetic needs. Furthermore, by packaging submicrometer particles into rapidly sinking fecal pellets, pelagic tunicates can substantially change particle size spectra and increase downward fluxes in the ocean.This work was supported by the National Science Foundation (OCE-0647723 to LPM and OCE-074464- CAREER to RS) and the WHOI Ocean Life Institute
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