ArticleBiology2022
Maximum Entropy Modeling the Distribution Area of
Article in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
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Who cites it
11 citing papers in PubMed, 22 citations in OpenAlex.
- Exploration of the Potential Suitable Distribution Range of theJournal of fungi (Basel, Switzerland) · 2026Article
- Phylogenetic Identification and Domestication of Wild Morchella Species from Fanjingshan, China.Current microbiology · 2026Article
- Risk effects of environmental factors on human brucellosis in Aksu Prefecture, Xinjiang, China, 2014-2023.Scientific reports · 2025Article
- Unveiling the Texture Secrets ofFoods (Basel, Switzerland) · 2025Article
- Predicting the potential distribution areas ofFrontiers in public health · 2025Article
- Unexpected richness and distinct patterns ofIMA fungus · 2025Article
- Review
- Estimating the Climate Niche ofJournal of fungi (Basel, Switzerland) · 2023Article
- Safe Production Strategies for Soil-Covered Cultivation of Morel in Heavy Metal-Contaminated Soils.Journal of fungi (Basel, Switzerland) · 2023Review
- Prediction of Suitable Habitat Distribution ofJournal of fungi (Basel, Switzerland) · 2023Article
- Out of the Qinghai-Tibetan plateau: Origin, evolution and historical biogeography ofFrontiers in microbiology · 2022Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Morchella is a kind of precious edible, medicinal fungi with a series of important effects, including anti-tumor and anti-oxidation effects. Based on the data of 18 environmental variables and the distribution sites of wild Morchella species, this study used a maximum entropy (MaxEnt) model to predict the changes in the geographic distribution of Morchella species in different historical periods (the Last Glacial Maximum (LGM), Mid Holocene (MH), current, 2050s and 2070s). The results revealed that the area under the curve (AUC) values of the receiver operating characteristic curves of different periods were all relatively high (>0.83), indicating that the results of the maximum entropy model are good. Species distribution modeling showed that the major factors influencing the geographical distribution of Morchella species were the precipitation of the driest quarter (Bio17), elevation, the mean temperature of the coldest quarter (Bio11) and the annual mean temperature (Bio1). The simulation of geographic distribution suggested that the current suitable habitat of Morchella was mainly located in Yunnan, Sichuan, Gansu, Shaanxi, Xinjiang Uygur Autonomous Region (XUAR) and other provinces in China. Compared with current times, the suitable area in Northwest and Northeast China decreased in the LGM and MH periods. As for the future periods, the suitable habitats all increased under the different scenarios compared with those in contemporary times, showing a trend of expansion to Northeast and Northwest China. These results could provide a theoretical basis for the protection, rational exploitation and utilization of wild Morchella resources under scenarios of climate change.
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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.