177,616 research outputs found
Soil chemistry and dry season intensity, Panama Canal Area
No full textWoody plant species were surveyed at 72 locations near the Panama Canal, spanning geological formations and a rainfall gradient. Soil chemistry, and dry season intensity at all the sites. Response of tree species to environmental gradients was estimated. The soil and climate data are provided in a single table here. Tree distributions are published at Condit et al. (2013a), including a data archive in Condit et al. (2013b). Note that the PNAS article incorrectly cites the data archive; the link below is correct.Data are in a tab-delimited ascii file. There are 77 locations with latitude, longitude, and elevation given. See README file.
References
Condit, R., B. M. J. Engelbrecht, D. Pino, R. Perez, and B. L. Turner. 2013a. Species distributions in response to individual soil nutrients and seasonal drought across a community of tropical trees. Proceedings of the National Academy of Sciences 110:5064–5068.
Condit, R.; Engelbrecht, B.; Pino, D.; Turner, B.; Pérez, R. 2013b. Panama Tree Distribution Database. https://repository.si.edu/handle/10088/19529.
Mirabello, M. J., J. B. Yavitt, M. Garcia, K. E. Harms, B. L. Turner, and S. J. Wright. 2013. Soil phosphorus responses to chronic nutrient fertilisation and seasonal drought in a humid lowland forest, Panama. Soil Research 51:215.
Turner, B. L., T. Brenes-Arguedas, and R. Condit. 2018. Pervasive phosphorus limitation of tree species but not communities in tropical forests. Nature 555:367–370.
Turner, B. L., and S. Joseph Wright. 2014. The response of microbial biomass and hydrolytic enzymes to a decade of nitrogen, phosphorus, and potassium addition in a lowland tropical rain forest. Biogeochemistry 117:115–130.
Turner, B. L., J. B. Yavitt, K. E. Harms, M. N. Garcia, T. E. Romero, and S. J. Wright. 2013. Seasonal Changes and Treatment Effects on Soil Inorganic Nutrients Following a Decade of Fertilizer Addition in a Lowland Tropical Forest. Soil Science Society of America Journal 77:1357–1369.
Turner, B. L., J. B. Yavitt, K. E. Harms, M. N. Garcia, and S. J. Wright. 2015. Seasonal changes in soil organic matter after a decade of nutrient addition in a lowland tropical forest. Biogeochemistry 123:221–235.
Turner, B. L., P. Zalamea, R. Condit, K. Winter, S. J. Wright, and J. W. Dalling. 2017. No evidence that boron influences tree species distributions in lowland tropical forests of Panama. New Phytologist 214:108–119.Funding provided by: National Science FoundationCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000001Award Number: 0948585Funding provided by: U.S. Department of DefenseCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000005Award Number: Funding provided by: United States Agency for International DevelopmentCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000200Award Number:The README file includes descriptions of columns in the data table. Details on methods for soil chemistry are given in references listed below. The Condit et al. (2013a) paper in PNAS has an accompanying data archive (Condit et al. 2013b), referred to below as PNAS archive
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Clayton R. Myers, c. 1955
No full textPortrait photograph of Clayton Myers c. 1955.For more information on Clayton R. Myers, see: https://springfield.as.atlas-sys.com/agents/people/85
Census data from 65 tree plots in Panama, 1994-2015
No full textThese are data from 65 tree plots in Panama established over 1994-2014; 43 of the plots have been recensused, while 22 plots have just a single census. Details of census methods are described in Condit (1998) and Condit et al. (2013). The 65 plots here are mostly 1 ha in area, though several are 0.32 ha, one is 4 ha, and one is 6 ha. Those two larger censuses are the Sherman and Cocoli plots described in Condit et al. (2004). A companion data archive includes all data from the Barro Colorado 50-ha plot (Condit et al. 2019).
The PIs would like to be informed of papers resulting from the marena plot data. Depending on our level of interest and how much a paper depends on the plots, co-authorship might be requested.
References
Condit, R., Engelbrecht, B. M. J., Pino, D., Pérez, R., and Turner, B. L. 2013. Species distributions in response to individual soil nutrients and seasonal drought across a community of tropical trees. Proceedings of the National Academy of Sciences 110:5064–5068. pdf http://conditdatacenter.org/pdfs/ConditEtAlPNAS2013.pdf.
Condit, R., 1998. Tropical Forest Census Plots: Methods and Results from Barro Colorado Island, Panama and a Comparison with Other Plots. Springer-Verlag, Berlin. pdf http://conditdatacenter.org/pdfs/Condit_1998_CensusPlotsmethodsBook.pdf.
Condit R., Perez, R., Aguilar, S., Lao, S., Foster, R., Hubbell, S.P. 2019. Complete data from the Barro Colorado 50-ha plot: 423617 trees, 35 years, 2019 version. https://doi.org/10.15146/5xcp-0d46.
Condit, R., Aguilar, S., Hernandez, A., Pérez, R., Lao, S., Angehr, G., Hubbell, S., and Foster, R. 2004. Tropical forest dynamics across a rainfall gradient and the impact of an El Niño dry season. Journal of Tropical Ecology 20:51–72. pdf http://conditdatacenter.org/pdfs/Condit%20et%20al_2004_J.of%20Trop.Eco.pdf.There are 42 tables in R format, with 21 tables in the tree format and 21 more in the stem format. The tree tables are divided into six sets:
The table marena1cns.tree1 has a record for every one of the 65 plots in one census (usually the most recent, but not always).
Tables marena2cns.tree1 and marena2cns.tree2 have a record for 43 plots having at least two censuses, with tree1 having the earlier census, tree2 a later census. The two tables have exactly the same set of trees, including those not yet present in the first census and dead trees in the second, and the rows of the two tables have exactly matching order. The two marena2cns.tree tables are thus effectively a single giant table, with columns for every bothcensuses. They are divided into separate tables for easier access.
Tables marena3cns.tree1, tree2, tree3 have records from the 11 plots having at least three censuses. As for marena2cns, every tree from all censuses is included, with rows in matching order.
Tables marena4cns.tree1, tree2, tree3, tree4 have records from the six plots having at least four censuses.
Tables marena5cns.tree1, tree2, tree3, tree4, tree5 have records from the one plot having at least five censuses.
Tables marena6cns.tree1, tree2, tree3, tree4, tree5, tree6 have records from the single plot having six censuses.
Note that the six sets of tables have many of the same records. So marena1cns has every tree, including all trees appearing in marena2cns etc. Likewise, the tables marena2cns include every tree appearing in marena3cnsetc. Most users will want just one of the five sets, depending on the specific question to be addressed. If only a single census is needed, then marena1cns should be used and there is no need to consult marena2cns and above. If exactly two censuses are needed, then marena2cns should be use and none of the others.
The 21 stem tables form a parallel set to the tree tables, divided into the same six groups, but having one row for every stem ever censused (instead of one per tree). The Barro Colorado data are organized in the same way (Condit et al. 2019).
In the tree tables, if stemID matches for a given tree in two censuses, then it is certain that the same stem was measured in both censuses. If the stemID differs between censuses, it often means that the first stem broke and a new stem was measured. However, in trees with 2 or more stems, it was not always possible to identify stems with certainty across censuses prior to 2010, because stem tags were not used. This means that there are cases where the stemID changes even though the stem(s) really did persist. The cleanest way to assess growth is to use only those cases where the stemID matches between censuses. It is also necessary to check the HOM (height-of-measurement) in case it changes between censuses. In the stem tables, records on matching rows are guaranteed to be the same stem, but the HOM might change.
The 21 tree tables are zipped into the single file marena.tree.zip, and the 21 stem tables into marena.stem.zip.
All species names, with additional taxonomic details, can be found in bci.spptable, archived with the BCI data at Condit et al. (2019). Though named for the BCI plot, it covers all species in the entire set of plots.
Columns in R Analytical Tables: Tree and Stem
treeID: The unique tree identifier in the database. Guarantees a tree match.
stemID: The unique stem identifier in the database. Guarantees a stem match.
tag: Tag number on the tree (occasionally negative where a tag was duplicated by mistake).
StemTag: Tag number on the individual stem, if present.
sp: The species mnemonic. See the R Species Table for full Latin names.
quadrat: Quadrat designation, as a 2-digit row number then 2-digit column number on a 20x20 m grid.
gx: The x coordinate within the plot, meters from the west border of the plot, always in [0,1000).
gy: The y coordinate, meters from the south border, always in [0,500).
dbh: Diameter (mm) of one stem on the tree, the stem whose stemID is given.
hom: The height-of-measure, meters above the ground, where the dbh was measured.
ExactDate: The date on which a tree was measured.
date: Integer date for easy calculation of time interval between censuses (the number of days since 1 Jan 1960).
codes: The codes describing the measurement as recorded in the field. See Condit (1998) for a description of field codes. For analyses, status codes should be used, not field codes.
status: A status code for the tree or stem. See the section below, Status Codes for Analyses.
DFstatus: Alternate stem status, redundant relative to status.
nostems: The number of living stems on the date of measurement.
agb: Above-ground-biomass of all stems on the tree, in Mg (= metric tons), or for the individual stem. Note that agb=0 for dead trees.
ba: Basal area of all stems on the tree, in square meters. Note that ba=0 for dead trees.
plot: Name of the plot.
census: Census number, 1-7.
plotID: A numeric plot identifier, not necessary for most users
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Tree species abundance through time in tropical forest census plots, Panama
No full textAll trees at least 1 cm diameter at breast height were censused in three sites in Panama. The Barro Colorado plot is 50 hectares in area and was fully censused on eight occasions between 1982 and 2015. The Sherman plot is 5.96 hectares and was fully censuses four times between 1996 and 2009. The Cocoli plot is 4 hectares and was censused three times between 1994 and 1999. The three accompanying tables give the population size of living individuals of all species in every census at the three sites.Species names are current as of 2017. Two papers, Condit et al. (1996, 2004), list all species and their abundances in early censuses. Many tree species names have been changed since 1982, and a separate data archive (Condit et al. 2017) provides all past names, allowing the tables in the early papers to be linked to the tables here. Because we continually correct the data, exact counts reported in the early papers will not necessarily match those shown now.
In each plot, several taxa are flagged with asterisks. These are cases where the group of trees so named does not represent a single consistent species through time. As identifications evolved, two of the taxa were divided into two species. At that time, any trees that had already died could not be identified using the updated criteria. The counts of these marked species thus cannot be interpreted as changing abundance through time. There were also a number of individuals that were never identified before they died, and the unidentified category is thus flagged with an asterisk.
Species labeled as sp. and lacking a taxonomic authority were morphospecies. They were trees assigned distinct categories based on leaf, bark, flower, or fruit form but never identified. Several of these morphospecies from the 1982 were finally identified later, but several remain and are in the tables. Their counts represent changing abundance through time of individual species; we just do not have a Latin name assigned.
All other taxa, those not flagged with asterisks, represent single, consistently-identified tree species. Their counts represent change in abundance through time. To standardize a density per unit area, each count must be divided by the size of the plot: 50 ha at Barro Colorado, 4 ha at Cocoli, and 5.96 ha at Sherman.
Citations
Condit, R., Hubbell, S. P., and Foster, R. B. 1996. Changes in tree species abundance in a neotropical forest: impact of climate change. Journal of Tropical Ecology 12:231–256.
Condit, R., Aguilar, S., Hernandez, A., Pérez, R., Lao, S., Angehr, G., Hubbell, S., and Foster, R. 2004. Tropical forest dynamics across a rainfall gradient and the impact of an El Niño dry season. Journal of Tropical Ecology 20:51–72.
R. Condit, S. Aguilar, R. Pérez. S. Lao, S. P. Hubbell, R. B. Foster. 2017. BCI 50-ha Plot Taxonomy as of 2017. DOI https://doi.org/10.25570/stri/10088/32990.
Funding provided by: National Science FoundationCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000001Award Number: MultipleEvery individual was mapped, tagged, and identified if the diameter at 1.3 m above the ground was at least 1 cm. Individuals with multiple stems from one root base were counted as single trees. Every tree was identified with reference to herbarium specimens and published flora (especially T. Croat's Flora of Barro Colorado Island [Stanford, 1978]). Some trees were assigned into distinct morphotypes but could not be fully identified, and a small number of individuals were never identified. Methods are described in detail in Condit, R. [1998. Tropical Forest Census Plots: Methods and Results from Barro Colorado Island, Panama and a Comparison with Other Plots. Springer-Verlag, Berlin.
Letter from R. R. Zellick, Assistant Trust Officer, Anglo California National Bank of San Francisco, to Joseph R. Goodman, October 2, 1942
No full textLetter from R. R. Zellick, Assistant Trust Officer at The Anglo California National Bank of San Francisco, to Joseph R. Goodman, regarding property owned by Dave Tatsuno. Zellick mentions a dispute between current tenants and Tatsuno, and that Tatsuno has asked Goodman to help locate trustworthy tenants.Personal correspondence, organizational records, government documents, publications, and other papers created or collected by Joseph R. Goodman documenting the forced removal and incarceration of Japanese Americans during World War II, as well as organized resistance to incarceration. Included in the collection are records of the Japanese Young Men's Christian Association and the Japanese American Citizens' League in San Francisco, including papers of the Japanese YMCA's executive secretary Lincoln Kanai; Sakai family papers; Goodman's correspondence to and from Japanese American incarcerees, organizations opposing forced removal and incarceration of Japanese Americans, the War Relocation Authority, and others; publications, photographs, and ephemera from the Topaz Relocation Center, where Goodman taught high school; War Relocation Authority records and publications; and newspaper clippings, pamphlets, and reports about forced removal and incarceration created by various government, religious, and civic organizations, in California and nationwide
Complete Tree Species of Panama
No full text<p>1 June 2020</p>
<p>This data archive presents a complete compilation of the tree species of Panama, including the full geographic range and local abundance of each. The species list is based on the most recent monographs, especially the Flora Mesoamericana, along with herbarium records, especially those online at the Missouri Botanic Garden, and our tree census plots, mostly in the forests around the Panama Canal, including the 50 ha plot at Barro Colorado. The full set of occurrence records was collected from the BIEN database and from Tropicos (Missouri Botanical Garden), plus our tree plots, and a geographic range was calculated as the minimum convex polygon around all occurrences. Details of methods can be found in Condit et al. (2020), and that paper includes a complete bibliography of the taxonomic literature consulted.</p>
<p>Species were included based if they root in the ground as free-standing woody plants, and reach a height of at least 3 m as reproductives. Epiphytes, lianas, and herbs were excluded. Species were included broadly, thus even if only occasionally terrestrial and free-standing while usually not; this aspect forces a loose gray area between trees and non-trees. The category shrub or descriptor shrubby were never considered, as they are poorly defined and used in inconsistent ways. An online version of the database (http://conditdatacenter.tech/PanamaTrees/) includes range maps and notes on growth form for marginal species. Tables of all coordinates from BIEN and Tropicos used in the estimates of range size can be downloaded from http://conditdatacenter.tech/TreeMap/txt.</p>
<p>References</p>
<ul>
<li>Condit, R., Perez, R., Aguilar, S. 2020. Tree species of Panama: a complete checklist with every geographic range. In press.</li>
<li>Condit, R., Engelbrecht, B. M. J., Pino, D., Pérez, R., and Turner, B. L. 2013. Species distributions in response to individual soil nutrients and seasonal drought across a community of tropical trees. Proceedings of the National Academy of Sciences 110:5064–5068. pdf http://conditdatacenter.org/pdfs/ConditEtAlPNAS2013.pdf</li>
<li>Condit, R., Chisholm, R. A., and Hubbell, S. P. 2012. Thirty years of forest census at Barro Colorado and the importance of immigration in maintaining diversity. PLoS ONE 7:e49826. pdf http://conditdatacenter.org/pdfs/ConditChisholmHubbell2012.pdf</li>
<li>Condit, R., Pérez, R., Aguilar, S., Lao, S., and Hubbell, S. P. 2017. Demographic trends and climate over 35 years in the Barro Colorado 50 ha plot. Forest Ecosystems 4:1–13. pdf http://conditdatacenter.org/pdfs/Condit_et_al-2017-Forest_Ecosystems.pdf</li>
<li>Davidse, G. M.; Sousa, M. S.; Knapp, S.; Chiang, F. & Ulloa, C. U. (Eds.) 1994-2018. Flora Mesoamericana (6 Volumes).</li>
</ul><p>Table 1. PanamaTreeSpecies.tsv. A tab-delimited ascii table including a record for 3045 tree species we consider native to Panama. Taxa in the table are identified by the Family, Latin name, and taxonomic authority, and include the following columns of data:</p>
<ul>
<li>countries -- Number of countries observed, ostensibly in a natural state (countries)</li>
<li>minLat -- Minimum latitude of species occurrences</li>
<li>maxLat -- Maximum latitude</li>
<li>minLong -- Minimum longitude</li>
<li>maxLong -- Maximum longitude</li>
<li>Npan -- Number of those records in Panama</li>
<li>N -- Total number of records in combined BIEN and Tropicos databases, counting only unique locations</li>
<li>range -- Extent of range, in thousands of square km, calculated as minimum convex polygon around BIEN records</li>
<li>plots -- Number of our tree plots in Panama in which the species was observed</li>
<li>dens -- Mean density in the plots (including zeroes) </li>
<li>inventories -- Number of our tree inventories in Panama in which the species was observed</li>
<li>maxht -- Maximum height in meters according to taxonomic monographs</li>
</ul>
<p>Table 2. PanamaTreeNameLookup.tsv. A tab-delimited ascii table including a record for 4497 Latin names which we found to be associated with the native tree species of Panama, including the 3045 currently accepted names plus 1452 alternate names. These are the most relevant recent synonyms, those appearing in recent treatments, at BIEN, or at Tropicos. For the 3045 current names, the column ValidLatin matches the column Latin. For the other 1452, the name in the column Latin is not valid in Panama and should be replaced by ValidLatin throughout the country. The column Scope applies to those 1452 cases: where Scope = everywhere, Latin should be replaced by ValidLatin everywhere the species is found, and Latin is now an obsolete name. In the remained 62 cases, where Scope = only Panama, the name Latin is misused in Panama and should be replaced there, but not elsewhere.</p>
<p>Table 3. PanamaTreeBIENError.tsv. A tab-delimited ascii table including 1035 tree species names appearing incorrectly in the BIEN database with records in Panama. All of these are based either on erroneous records, ie in the wrong country, or misidentified, or are based on cultivated specimens of species not native to Panama. </p>
Complete Tree Species of Panama
No full text<p>1 June 2020</p>
<p>This data archive presents a complete compilation of the tree species of Panama, including the full geographic range and local abundance of each. The species list is based on the most recent monographs, especially the Flora Mesoamericana, along with herbarium records, especially those online at the Missouri Botanic Garden, and our tree census plots, mostly in the forests around the Panama Canal, including the 50 ha plot at Barro Colorado. The full set of occurrence records was collected from the BIEN database and from Tropicos (Missouri Botanical Garden), plus our tree plots, and a geographic range was calculated as the minimum convex polygon around all occurrences. Details of methods can be found in Condit et al. (2020), and that paper includes a complete bibliography of the taxonomic literature consulted.</p>
<p>Species were included based if they root in the ground as free-standing woody plants, and reach a height of at least 3 m as reproductives. Epiphytes, lianas, and herbs were excluded. Species were included broadly, thus even if only occasionally terrestrial and free-standing while usually not; this aspect forces a loose gray area between trees and non-trees. The category shrub or descriptor shrubby were never considered, as they are poorly defined and used in inconsistent ways. An online version of the database (http://conditdatacenter.tech/PanamaTrees/) includes range maps and notes on growth form for marginal species. Tables of all coordinates from BIEN and Tropicos used in the estimates of range size can be downloaded from http://conditdatacenter.tech/TreeMap/txt.</p>
<p>References</p>
<ul>
<li>Condit, R., Perez, R., Aguilar, S. 2020. Tree species of Panama: a complete checklist with every geographic range. In press.</li>
<li>Condit, R., Engelbrecht, B. M. J., Pino, D., Pérez, R., and Turner, B. L. 2013. Species distributions in response to individual soil nutrients and seasonal drought across a community of tropical trees. Proceedings of the National Academy of Sciences 110:5064–5068. pdf http://conditdatacenter.org/pdfs/ConditEtAlPNAS2013.pdf</li>
<li>Condit, R., Chisholm, R. A., and Hubbell, S. P. 2012. Thirty years of forest census at Barro Colorado and the importance of immigration in maintaining diversity. PLoS ONE 7:e49826. pdf http://conditdatacenter.org/pdfs/ConditChisholmHubbell2012.pdf</li>
<li>Condit, R., Pérez, R., Aguilar, S., Lao, S., and Hubbell, S. P. 2017. Demographic trends and climate over 35 years in the Barro Colorado 50 ha plot. Forest Ecosystems 4:1–13. pdf http://conditdatacenter.org/pdfs/Condit_et_al-2017-Forest_Ecosystems.pdf</li>
<li>Davidse, G. M.; Sousa, M. S.; Knapp, S.; Chiang, F. & Ulloa, C. U. (Eds.) 1994-2018. Flora Mesoamericana (6 Volumes).</li>
</ul><p>Table 1. PanamaTreeSpecies.tsv. A tab-delimited ascii table including a record for 3045 tree species we consider native to Panama. Taxa in the table are identified by the Family, Latin name, and taxonomic authority, and include the following columns of data:</p>
<ul>
<li>countries -- Number of countries observed, ostensibly in a natural state (countries)</li>
<li>minLat -- Minimum latitude of species occurrences</li>
<li>maxLat -- Maximum latitude</li>
<li>minLong -- Minimum longitude</li>
<li>maxLong -- Maximum longitude</li>
<li>Npan -- Number of those records in Panama</li>
<li>N -- Total number of records in combined BIEN and Tropicos databases, counting only unique locations</li>
<li>range -- Extent of range, in thousands of square km, calculated as minimum convex polygon around BIEN records</li>
<li>plots -- Number of our tree plots in Panama in which the species was observed</li>
<li>dens -- Mean density in the plots (including zeroes) </li>
<li>inventories -- Number of our tree inventories in Panama in which the species was observed</li>
<li>maxht -- Maximum height in meters according to taxonomic monographs</li>
</ul>
<p>Table 2. PanamaTreeNameLookup.tsv. A tab-delimited ascii table including a record for 4497 Latin names which we found to be associated with the native tree species of Panama, including the 3045 currently accepted names plus 1452 alternate names. These are the most relevant recent synonyms, those appearing in recent treatments, at BIEN, or at Tropicos. For the 3045 current names, the column ValidLatin matches the column Latin. For the other 1452, the name in the column Latin is not valid in Panama and should be replaced by ValidLatin throughout the country. The column Scope applies to those 1452 cases: where Scope = everywhere, Latin should be replaced by ValidLatin everywhere the species is found, and Latin is now an obsolete name. In the remained 62 cases, where Scope = only Panama, the name Latin is misused in Panama and should be replaced there, but not elsewhere.</p>
<p>Table 3. PanamaTreeBIENError.tsv. A tab-delimited ascii table including 1035 tree species names appearing incorrectly in the BIEN database with records in Panama. All of these are based either on erroneous records, ie in the wrong country, or misidentified, or are based on cultivated specimens of species not native to Panama. </p>
- …
