Results 21 to 30 of about 13,851,371 (252)
Guangxi Zhiwu, 2023 Petrocodon Hance is one of the famous ornamental flowers, but most of them are assessed as extremely dangerous (CR), or at least above vulnerable (VU) due to climate turbulence and strong interference of human activities.
Hong HUANG +6 more
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Detecting fingerprints of landslide drivers: A MaxEnt model [PDF]
Journal of Geophysical Research: Earth Surface, 2013 Landslides are important geomorphic events that sculpt river basins by eroding hillslopes and providing sediments to coastal areas. However, landslides are also hazardous events for socio‐ecological systems in river basins causing enormous biodiversity, economic, and social impacts. We propose a probabilistic spatially explicit model for the prediction
Convertino M. +2 more
openaire +3 more sources
MaxEnt versus MaxLike: empirical comparisons with ant species distributions
Ecosphere, 2013 MaxEnt is one of the most widely used tools in ecology, biogeography, and evolution for modeling and mapping species distributions using presence‐only occurrence records and associated environmental covariates.
Matthew C. Fitzpatrick +2 more
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Guangxi Zhiwu, 2023 Except for Cymbidium lancifolium, all the other species of Cymbidium have been listed as the national key protected wild plants. In order to explore its future distribution patterns under the future climatic, we gathered the distribution information of ...
Fang ZHENG +5 more
doaj +1 more source
The importance of correcting for sampling bias in MaxEnt species distribution models [PDF]
Diversity and Distributions, 2013 AbstractAimAdvancement in ecological methods predicting species distributions is a crucial precondition for deriving sound management actions. Maximum entropy (MaxEnt) models are a popular tool to predict species distributions, as they are considered able to cope well with sparse, irregularly sampled data and minor location errors.
Kramer-Schadt, Stephanie (Prof. Dr.) +26 more
openaire +4 more sources
A prediction of suitable habitat mapping of Pinus roxburghii sarg. using maxent modeling
Environment Conservation Journal, 2021 Prediction of the potential geographic distribution of species is essential concerning various purposes in protection and conservation. The present study focused on predicting the distribution of Pinus roxburghii Sarg.
Leishangthem Chanu Langlentombi +1 more
doaj +1 more source
Maxent-Stress Optimization of 3D Biomolecular Models
CoRR, 2017 Accepted by 25th Annual European Symposium on Algorithms (ESA 2017)
Michael Wegner +3 more
openaire +5 more sources
SPECIES DISTRIBUTION MODELLING OF TWO SPECIES ENDEMIC TO THE PHILIPPINES TO SHOW THE APPLICABILITY OF MAXENT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Maxent is a machine learning model used for species distribution modelling (SDM) that is rising in popularity. As with any species distribution model, it needs to be validated for certain species before being used to generate insights and trusted ...
M. Z. G. Untalan +2 more
doaj +1 more source
Frontiers in Environmental Science, 2022 Deyeuxia angustifolia acts as an indicator of the changes in wetland ecosystems and plays an important ecological role in their functions. Previous studies have shown that the Tumen River Basin is of wide global interest as a transboundary basin area ...
Jin Zong +11 more
doaj +1 more source
Modelling Distributions of Asian and African Rice Based on MaxEnt
Sustainability, 2023 Rice landraces, including Asian rice (Oryza sativa L.) and African rice (Oryza glaberrima Steud.), provide important genetic resources for rice breeding to address challenges related to food security. Due to climate change and farm destruction, rice landraces require urgent conservation action.
Lin, Yunan +7 more
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