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World Agroforestry (ICRAF)
Replication data for: Developing a Georeferenced Database of Selected Threatened Forest Tree Species in the Philippines
Replication data for: Developing a Georeferenced Database of Selected Threatened Forest Tree Species in the Philippines
Version 1.0
Ramos, Lawrence T.; Torres, Alfie M.; Pulhin, Florencia B.; Lasco, Rodel D., 2014, "Replication data for: Developing a Georeferenced Database of Selected Threatened Forest Tree Species in the Philippines", https://doi.org/10.34725/DVN/24818, World Agroforestry (ICRAF), V1
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Description
Georeferenced species occurrence is a prerequisite in species distribution modeling and species ecosystem correlation analysis and also aids in tracking plant species and prioritizing scarce resources for conservation. The Global Biodiversity Information Facility, legacy literature of biodiversity, contemporary literature, technical reports and biodiversity surveys are important sources of species occurrence data waiting to be georeferenced. In this paper, we discussed a method used to georeference occurrences of threatened forest tree species from the above sources. Locality descriptions were initially narrowed down in geographic information system using administrative maps and further confined using two criteria: 1) elevation and 2) surface cover information from remotely-sensed images. The result was a georeferenced database of 2,067 occurrence records of 47 threatened forest species on a national scale . Each record had a unique point feature per species and enough metadata directing the database user to the source of occurrence data. The database can be used as a tool in determining priority species for specimen or germplasm collection, for taxonomic identification and historical mapping. It also serves as an integral component in spatially modeling the distribution of tree species and forest formations in the past and in a possible future scenario.
Subject Agricultural Sciences
Keyword database, georeference, species occurence, threatened forest trees
Related Publication Ramos, L.T., Torres, A.M., Pulhin, F.B., and Lasco, R.D. 2012. Developing a Georeferenced Database of Selected Threatened Forest Tree Species in the Philippines. Philippine Journal of Science 141 (2): 165-177.
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Disclaimer.pdf
Disclaimer.pdf
Adobe PDF - 213.8 KB - Aug 6, 2019 - 71 Downloads
MD5: f876174a62c66ad334a0109b2a23c529
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Geoferenced_threatenedforesttreespecies.csv
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MD5: 09fe548cdea07e998ec27b5444bb5a16
From Subject Received Size Categories Lusiana, Betha (ICRAF) RE: Dataverse forms-ICRAF Philippines Fri 2/28 150 KB
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ICRAF DATAVERSE TERMS OF USE

These data and documents are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported license. You may copy, distribute and transmit the data as long as you acknowledge the source through proper citation as shown below. You may not resale or use the data for any commercial purposes except with written permission from both ICRAF and the auth or(s) concerned.

Citation Requirements

1. In accordance with scientific standards, all users of these data should make appropriate acknowledgement to the producer of the data as well as the distributor using bibliographic citation. Such citations will appear in footnotes or in the reference section of any such manuscript. The citation should use the citation standard documented in http://thedata.org/citation and as shown on the "Data Cita tion" section of the cataloguing information page for each dataverse study.

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3. All users of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the cataloguing information.

Disclaimer

Whilst utmost care has been taken by ICRAF and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the authors, ICRAF, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data.

The user expressly acknowledges that the data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. The user should always verify actual data.

Any of the above conditions can be waived if you get written permission from ICRAF and the author(s) of the data.

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ICRAF DATAVERSE TERMS OF USE

These data and documents are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported license. You may copy, distribute and transmit the data as long as you acknowledge the source through proper citation as shown below. You may not resale or use the data for any commercial purposes except with written permission from both ICRAF and the auth or(s) concerned.

Citation Requirements

1. In accordance with scientific standards, all users of these data should make appropriate acknowledgement to the producer of the data as well as the distributor using bibliographic citation. Such citations will appear in footnotes or in the reference section of any such manuscript. The citation should use the citation standard documented in http://thedata.org/citation and as shown on the "Data Cita tion" section of the cataloguing information page for each dataverse study.

2. ICRAF requests a copy of any material produced based on the data. This includes position papers, scientific reports, and graduate papers in addition to publications.

3. All users of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the cataloguing information.

Disclaimer

Whilst utmost care has been taken by ICRAF and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the authors, ICRAF, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data.

The user expressly acknowledges that the data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. The user should always verify actual data.

Any of the above conditions can be waived if you get written permission from ICRAF and the author(s) of the data.

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