ArticleEcology and evolution2018
Past distribution of epiphyllous liverworts in China: The usability of historical data.
Article in Ecology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
The 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.
Who cites it
8 citing papers in PubMed, 19 citations in OpenAlex.
- Research on the synergistic prediction of the suitable distribution and chemical components of Panax Notoginseng under the background of climate warming.BMC plant biology · 2025Article
- Monitoring the Growth and Habitat Shifts of Epiphyllous Liverworts in Subtropical Forests of China.Ecology and evolution · 2025Article
- Impacts of Human Activity and Climate Change on the Suitable Habitats forPlants (Basel, Switzerland) · 2025Article
- Prediction of Suitable Regions forPlants (Basel, Switzerland) · 2024Article
- Assessment of Climate Change Impacts on the Distribution of Endangered and EndemicEcology and evolution · 2024Article
- Simulation of the potential distribution of rare and endangeredEcology and evolution · 2022Article
- The mid-Miocene Zhangpu biota reveals an outstandingly rich rainforest biome in East Asia.Science advances · 2021Article
- Past distribution of epiphyllous liverworts in China: The usability of historical data.Ecology and evolution · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epiphyllous liverworts form a special group of bryophytes that primarily grow on the leaves of understory vascular plants in tropical and subtropical evergreen broadleaf forests. Being sensitive to moisture and temperature changes, epiphyllous liverworts are often considered to be good indicators of climate change and forest degradation. However, they are a poorly collected and taxonomically complicated group, with an only partly identified distribution pattern. In this study, we built four models based on 24 environmental variables at four different spatial resolutions (i.e., 1 km, 5 km, 10 km, and 15 km) to predict the past distribution of epiphyllous liverworts in China, using Maxent model and 63 historical location records (i.e., presence-only data). Both area under the curve of the receiver operating characteristic (AUC) and true skill statistic (TSS) methods are used to assess the model performance. Results showed that the model with the predictors at a 15-km resolution achieved the highest predictive accuracy (AUC=0.946; TSS=0.880), although there was no statistically significant difference between the four models (
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.