Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 500 Internal Server Error
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3145
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
The XyloDensMap dataset aims to provide comprehensive quantification of wood density and its variation across European tree species and their populations. Data were obtained by combining spatially systematic sampling of the French National Forest Inventory (NFI), and an original high-flow method of wood density measurement by X-ray Computed Tomography. Wood density was measured on 110,763 wood cores sampled at breast height over the period 2016-2019 on 20,697 NFI plots evenly distributed across mainland France. The dataset covers 156 European tree species and wide gradients of elevations (from 0 to 2,300 m above sea level), climates (oceanic, continental, mountain and Mediterranean climates) and soil conditions. It encompasses most European forest types, with the exception of boreal forests. The number of wood density measurements is roughly proportional to the abundance of tree species in the forest area sampled. This dataset's potential extends to the intensive documentation of a major ecological trait, the assessment of the drivers of wood density variation, or the improvement of forest biomass and carbon estimates, and their uncertainty.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11880372 | PMC |
http://dx.doi.org/10.1038/s41597-025-04645-1 | DOI Listing |
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