Evaluating the efficiency of different machine learning models in extracting the map of erosion forms of arid watersheds (Case study: Mukhtaran plain watershed, South Khorasan, Iran) DOI
Hadi Memarian,

Javad Momeni Damaneh

Akhbār., Journal Year: 2024, Volume and Issue: 14(4), P. 119 - 145

Published: Dec. 1, 2024

Language: Английский

The future range of two Thymus daenensis subspecies in Iran under climate change scenarios: MaxEnt model-based prediction DOI
Nasser Hosseini, Hossein Mostafavi, Mansour Ghorbanpour

et al.

Genetic Resources and Crop Evolution, Journal Year: 2024, Volume and Issue: 72(1), P. 717 - 734

Published: May 12, 2024

Language: Английский

Citations

3
Potential Geographical Distribution of Lagerstroemia excelsa under Climate Change DOI Creative Commons

Siwen Hao,

Donglin Zhang, Yafeng Wen

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(2), P. 191 - 191

Published: Jan. 26, 2024

As a popular ornamental plant and an effective species for controlling rocky desertification, the identification protection of potential habitats Lagerstroemia excelsa hold significant importance. To gain comprehensive understanding natural resources growing conditions L. excelsa, predictive modeling was employed to estimate geographical distribution during Mid-Holocene (MH), present, years 2050 2070. The projection based on current occurrences, we selected relevant environmental attributes through Pearson analysis Maximum Entropy Model (MaxEnt). revealed that temperature precipitation are primary factors influencing distribution, with Wuling Mountains identified as center hub this species. anticipated suitable area is expected experience marginal expansion under future climate scenarios. These results invaluable guiding sustainable utilization in face change. Additionally, data generated can be leveraged enhanced introduction, breeding, selection, cultivation taking into account challenges posed by global warming.

Language: Английский

Citations

2
Modeling habitat suitability of Quercus castaneifolia in the Hyrcanian forest: a comprehensive integration of environmental factors for conservation insights DOI
Hamed Asadi, Hamid Jalilvand, Mahya Tafazoli

et al.

Biodiversity and Conservation, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 17, 2024

Language: Английский

Citations

2
Mapping high poplar growth areas for bioenergy cultivation: A swarm-optimized approach DOI
Abolfazl Jaafari

Renewable and Sustainable Energy Reviews, Journal Year: 2023, Volume and Issue: 187, P. 113748 - 113748

Published: Sept. 19, 2023

Language: Английский

Citations

4
Global Warming Drives Transitions in Suitable Habitats and Ecological Services of Rare Tinospora Miers Species in China DOI Creative Commons
Huayong Zhang, Zhe Li, Hengchao Zou

et al.

Diversity, Journal Year: 2024, Volume and Issue: 16(3), P. 181 - 181

Published: March 17, 2024

Tinospora Miers is considered a valuable medicinal herb that suffering from severe habitat degradation due to climate change and human activities, but the variations in its suitable habitats ecological service values remain unclear, especially context of accelerating global warming. In this study, we employed MaxEnt model estimate changes three rare (T. craveniana, T. yunnanensis, sinensis) species China under four scenarios (SSP126, SSP245, SSP370, SSP585) 2041 2100. The results show sinensis are mainly distributed Sichuan, Yunnan, Guangxi, respectively. Under future scenarios, craveniana projected expand toward northeast north, while yunnanensis will contract northeast. mean diurnal temperature range main environmental factor affecting annual more important sinensis. SSP245 scenario, expected have highest 2081 2100, they be relatively consistent other chronologies. case water protection accounts for proportion total ecosystem values, except economic value. This study provides scientific reference diversity conservation these species.

Language: Английский

Citations

1
Potentially suitable distribution areas of Populus euphratica and Tamarix chinensis by MaxEnt and random forest model in the lower reaches of the Heihe River, China DOI
Yichi Zhang,

Xiaohui Jiang,

Yuxin Lei

et al.

Environmental Monitoring and Assessment, Journal Year: 2023, Volume and Issue: 195(12)

Published: Nov. 23, 2023

Language: Английский

Citations

3
Ensemble modeling of aquatic plant invasions and economic cost analysis in China under climate change scenarios DOI
Zixuan Feng, Lei Zhang,

Na Tang

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 957, P. 177444 - 177444

Published: Nov. 14, 2024

Language: Английский

Citations

0
Using ensemble modeling to predict the current distribution of Pistacia atlantica Desf. in Algeria DOI
Massinissa Aloui, Souad Neffar, Haroun Chenchouni

et al.

The Science of Nature, Journal Year: 2024, Volume and Issue: 111(6)

Published: Nov. 19, 2024

Language: Английский

Citations

0
Evaluating the efficiency of different machine learning models in extracting the map of erosion forms of arid watersheds (Case study: Mukhtaran plain watershed, South Khorasan, Iran) DOI
Hadi Memarian,

Javad Momeni Damaneh

Akhbār., Journal Year: 2024, Volume and Issue: 14(4), P. 119 - 145

Published: Dec. 1, 2024

Language: Английский

Citations

0