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., Год журнала: 2024, Номер 14(4), С. 119 - 145

Опубликована: Дек. 1, 2024

Язык: Английский

Future of Three Endemic Woody Species of Colutea (Fabaceae) in a Changing Climate in Iran DOI Creative Commons
Amin Zeraatkar, Elham Hatami, Farzaneh Khajoei Nasab

и другие.

Ecology and Evolution, Год журнала: 2025, Номер 15(5)

Опубликована: Май 1, 2025

ABSTRACT Woody plants offer valuable services to ecosystems, including providing useful products, stabilizing and mitigating climate pollution effects. However, they face significant abiotic biotic stresses, with change being the most critical challenge. It is essential understand that reducing populations of woody species, particularly those found only in a specific area, can have severe irreversible effects on entire ecosystem. Therefore, exploring potential influence distribution endemic species an appealing subject for conservation researchers. This study investigates how affects three genus Colutea Iran. The MaxEnt model was used analyze data, results showed effective predicting impact (AUC ≥ 0.9). C. persica significantly affected by solar radiation, Precipitation Wettest Month, sand, silt content. porphyrogamma 's impacted Mean Temperature Coldest Quarter, Driest Cation Exchange Capacity, while triphylla Seasonality, Isothermality. According findings, these expected decrease 2050s 2070s due change, based RCP4.5 RCP8.5 scenarios. These findings be developing strategies manage impacts species.

Язык: Английский

Процитировано

0

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

Siwen Hao,

Donglin Zhang, Yafeng Wen

и другие.

Agriculture, Год журнала: 2024, Номер 14(2), С. 191 - 191

Опубликована: Янв. 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.

Язык: Английский

Процитировано

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

и другие.

Biodiversity and Conservation, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 17, 2024

Язык: Английский

Процитировано

2

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

Renewable and Sustainable Energy Reviews, Год журнала: 2023, Номер 187, С. 113748 - 113748

Опубликована: Сен. 19, 2023

Язык: Английский

Процитировано

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

и другие.

Diversity, Год журнала: 2024, Номер 16(3), С. 181 - 181

Опубликована: Март 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.

Язык: Английский

Процитировано

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

и другие.

Environmental Monitoring and Assessment, Год журнала: 2023, Номер 195(12)

Опубликована: Ноя. 23, 2023

Язык: Английский

Процитировано

3

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

Na Tang

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 957, С. 177444 - 177444

Опубликована: Ноя. 14, 2024

Язык: Английский

Процитировано

0

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

и другие.

The Science of Nature, Год журнала: 2024, Номер 111(6)

Опубликована: Ноя. 19, 2024

Язык: Английский

Процитировано

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., Год журнала: 2024, Номер 14(4), С. 119 - 145

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

0