Results 31 to 40 of about 9,643 (228)

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.), Niedballa, Jürgen, Pilgrim, John D., Schröder-Esselbach, Boris, Lindenborn, Jana, Reinfelder, Vanessa, Stillfried, Milena, Heckmann, Ilja, Scharf, Anne K., Augeri, Dave M., Cheyne, Susan M., Hearn, Andrew J., Ross, Joanna, Macdonald, David W., Mathai, John, Eaton, James, Marshall, Andrew J., Semiadi, Gono, Rustam, Rustam, Bernard, Henry, Alfred, Raymond, Samejima, Hiromitsu, Duckworth, J. W., Breitenmoser-Wuersten, Christine, Belant, Jerrold L., Hofer, Heribert, Wilting, Andreas   +26 more
openaire   +4 more sources

Maxent-Stress Optimization of 3D Biomolecular Models

CoRR, 2017
Accepted by 25th Annual European Symposium on Algorithms (ESA 2017)
Michael Wegner, Oskar Taubert, Alexander Schug, Henning Meyerhenke   +3 more
openaire   +4 more sources

Global potential distribution prediction of Xanthium italicum based on Maxent model [PDF]

Scientific Reports, 2021
AbstractAlien invasive plants pose a threat to global biodiversity and the cost of control continues to rise. Early detection and prediction of potential risk areas are essential to minimize ecological and socio-economic costs. In this study, the Maxent model was used to predict current and future climatic conditions to estimate the potential global ...
Yang Zhang, Jieshi Tang, Gang Ren, Kaixin Zhao, Xianfang Wang   +4 more
openaire   +3 more sources

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, Wang, Hao, Chen, Yanqing, Tan, Jiarui, Hong, Jingpeng, Yan, Shen, Cao, Yongsheng, Fang, Wei   +7 more
openaire   +1 more source

Prediction of potential suitable area of Phoebe zhennan in Guizhou Province based on MaxEnt model

Guangxi Zhiwu, 2023
To reveal the potential distribution characteristics of Phoebe zhennan in Guizhou Province and its response mode to environmental factors. Based on the geographical distribution points of P.
Shanyun YANG, Mingtai AN, Feng LIU, Yang ZHANG, Li TIAN, Cuiyu CHEN   +5 more
doaj   +1 more source

Climatic curves as predictors in MaxEnt niche modeling [PDF]

, 2021
Abstract Environmental niche modelling (ENM) uses different types of variables to predict species occurrence. In widespread use are variables derived from climatic curves, i.e., average annual changes in some climatic parameter. This study shows how to use the climatic curves themselves as ENM predictors.
openaire   +1 more source

Modeling the distribution of Zanthoxylum armatum in China with MaxEnt modeling

Global Ecology and Conservation, 2019
Predicting suitable distribution is an effective way to guide the introduction and cultivation of a species. To explore the climatic suitability of Zanthoxylum armatum, the maximum entropy model was used to model the distribution of this species in China. The results showed that the suitable area for Z. armatum in the current climatic conditions was 85.
Danping Xu, Zhihang Zhuo, Rulin Wang, Meng Ye, Biao Pu   +4 more
openaire   +2 more sources

The Experience in Using the MaxEnt Model to Rank the Territory of the Caspian Sandy Natural Plague Focus (43) according to the Risk of Epizooty Registration

Проблемы особо опасных инфекций
The aim of this work was to rank the territory of the Caspian sandy natural plague focus (43) by the risk of epizooty emergence using the MaxEnt model.Materials and methods.
U. M. Ashibokov, V. M. Dubyansky, O. V. Semenko, A. Yu. Gazieva, O. A. Belova, A. A. Kes’yan, A. Kh. Khalidov, A. A. Vetoshkin, N. V. Viktorova, A. A. Kulik   +9 more
doaj   +1 more source

Climatic niche divergence and high‐elevation adaptation promoted rapid diversification of Pimoa spiders in Pan‐Himalaya

Ecography, EarlyView.
The Pan‐Himalayan region harbors exceptional biodiversity, yet the origins and underlying mechanisms driving this remarkable diversity remain poorly understood, especially among species‐rich invertebrates. Pimoa spiders exhibit an intercontinental disjunct distribution across three major mountain regions: the Rockies, the Alps, and the Pan‐Himalaya ...
Xiaoqing Zhang, Zhe Zhao, Bingyue Zhu, Tongyao Jiang, Lili Shao, Stefano Mammola, Jiangni Li, Hao Xu, Bing Li, Shuqiang Li   +9 more
wiley   +1 more source

Potential suitable area prediction of invasive weeds Tithonia diversifolia A. Gray and Synedrella nodiflora L. Gaertn. in China based on the optimized MaxEnt model

Huanan Nongye Daxue xuebao
ObjectiveThis paper aims to study the current and the potential suitable areas of the alien invasive weeds Tithonia diversifolia A. Gray and Synedrella nodiflora L. Gaertn.
Jing XIE, Nishan DUAN, Lijie KONG, Ruiyi XU, Ruoyu AN, Lijuan ZHOU   +5 more
doaj   +1 more source