ArticleEcology and evolution2026
Integrating Remote Sensing and Machine Learning to Project Global Habitat Suitability and Productivity of Chinese Fir Under Climate Change.
Jiejie Sun, Xiao He, Tongli Wang, Qian Wang, Boran Liu, Jing Qian, Dawei Luo, Hui Xia, Xuan Xu, Xiangdong Lei and 3 more
Abstract read
In one paragraphArticle in Ecology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
13 authors.
Xiao HeKey Laboratory of Forest Management and Growth Modelling, State Forestry and Grassland Administration, Institute of Forest Resource Information Techniques Chinese Academy of Forestry Beijing China.
Tongli WangDepartment of Forest and Conservation Sciences, Faculty of Forestry & Environmental Stewardship University of British Columbia Vancouver British Columbia Canada.
Qian WangCo-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment Nanjing Forestry University Nanjing Jiangsu China.
Boran LiuCo-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment Nanjing Forestry University Nanjing Jiangsu China.
Jing QianDepartment of Forest and Conservation Sciences, Faculty of Forestry & Environmental Stewardship University of British Columbia Vancouver British Columbia Canada.
Hui XiaCo-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment Nanjing Forestry University Nanjing Jiangsu China.
Xuan XuCo-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment Nanjing Forestry University Nanjing Jiangsu China.
Xiangdong LeiKey Laboratory of Forest Management and Growth Modelling, State Forestry and Grassland Administration, Institute of Forest Resource Information Techniques Chinese Academy of Forestry Beijing China.ORCID https://orcid.org/0000-0001-6582-587X Weifeng WangCo-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment Nanjing Forestry University Nanjing Jiangsu China.
Ming XuGuangdong-Hong Kong Joint Laboratory for Carbon Neutrality Jiangmen Laboratory of Carbon Science and Technology Jiangmen Guangdong Province China.
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
Indexed as
Chinese firclimate changeCunninghamia lanceolataecological niche modelingnet primary productivity
Identifiers
PMID42358381
PMCPMC13290655
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