Climate and Altitude Drive Spatial and Temporal Changes in Forests on the Eastern Tibetan Plateau—Evidence from the Shaluli Mountain DOI Open Access
Yu Feng, Songlin Shi, Pengtao Niu

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(11), P. 1968 - 1968

Published: Nov. 7, 2024

Forests are widely distributed in terrestrial ecosystems, covering about one-third of the global land area. They play a key role sequestering carbon, releasing oxygen, mitigating climate change, and maintaining ecosystem balance. The ecology Tibetan Plateau is very fragile, but impact environmental change on regional forest ecosystems not yet clear. Located Eastern Plateau, Shaluli Mountain has richest biodiversity widest distribution forests Plateau. Assessing dynamics basis for correctly formulating management measures, important conservation. However, traditional field surveys have shortcomings high cost, being time-consuming, having poor coverage monitoring. Remote sensing methods can make up these shortcomings. Therefore, this study, satellite remote images were used to extract information from 2000 2020 Mountain, main drivers analyzed with full consideration Spatially Stratified Heterogeneity (SSH) factors. results found that area increased 23,144.20 km2 28,429.53 2020, average Percentage Forest Cover (PFC) 19.76% 21.67%, significant improvement growth. annual minimum temperature (TMN), altitude, maximum (TMX), precipitation (PRE) driving factors an power (q-value) 0.4877, 0.2706, 0.2342, 0.2244, TMN was primary limiting factor In addition, all 2020. study provide development strategies, reference materials

Language: Английский

Incorporating Genetic Diversity to Optimize the Plant Conservation Network in the Third Pole DOI Creative Commons
Moses C. Wambulwa,

Guang‐Fu Zhu,

Ya‐Huang Luo

et al.

Global Change Biology, Journal Year: 2025, Volume and Issue: 31(3)

Published: March 1, 2025

Climate change poses a significant threat to the survival of many species. Although protected areas can slow down biodiversity loss, they often lack systematic planning and do not integrate genetic diversity. Genetic diversity is key prerequisite for species ability tolerate new conditions. Using population distribution data from 96 plant in Third Pole (encompassing Tibetan Plateau adjacent mountains), we mapped patterns diversity, projected climate-driven range dynamics future erosion, designed an optimal conservation framework region. We identified several patches high haplotype (HD), with relatively number haplotypes southeastern Pole. Regression models revealed that climate topography have interacted shape latitude precipitation being best predictors HD cpDNA nrDNA, respectively. Ecological niche modeling predicted approximate 43 km northwestward 86 m upward shift suitable habitats under scenarios, likely leading loss up 13.19% 15.49% nrDNA Alarmingly, 71.20% newly priority fall outside existing planned National Park Clusters. Therefore, recommend expanding network by 2.02 × 105 km2 (5.91%) Pole, increasing total conserved area 1.36 106 (39.93%) effectively preserve evolutionary potential plants. This study represents innovative attempt incorporate into efforts.

Language: Английский

Citations

2
Ecological Environmental Changes and the Impact on Alpine Wetland Spatiotemporal Differentiation in Western Sichuan DOI
Haijun Wang, Xiangdong Kong, Cuicui Jiao

et al.

Wetlands, Journal Year: 2025, Volume and Issue: 45(2)

Published: Feb. 1, 2025

Language: Английский

Citations

0
Multifaceted plant diversity patterns across the Himalaya: Status and outlook DOI Creative Commons
Mustaqeem Ahmad, Ya‐Huang Luo, Sonia Rathee

et al.

Plant Diversity, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0
Mapping tree carbon density using sentinel 2A sensor on Google Earth Engine in Darjeeling Himalayas: Implication for tree carbon management and climate change mitigation DOI
Manendra Singh, Ahmad Kamil Arshad, Amit Bijlwan

et al.

Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2024, Volume and Issue: 134, P. 103569 - 103569

Published: Feb. 1, 2024

Language: Английский

Citations

1
Comparative Study of Potential Habitats for Two Endemic Grassland Caterpillars on the Qinghai-Tibet Plateau Based on BIOMOD2 and Land Use Data DOI Creative Commons

Chuanji Li,

Yunxiang Liu, Youpeng Lai

et al.

Insects, Journal Year: 2024, Volume and Issue: 15(10), P. 781 - 781

Published: Oct. 8, 2024

This study has systematically investigated and compared the geographical distribution patterns population density of

Language: Английский

Citations

1
Climate and Altitude Drive Spatial and Temporal Changes in Forests on the Eastern Tibetan Plateau—Evidence from the Shaluli Mountain DOI Open Access
Yu Feng, Songlin Shi, Pengtao Niu

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(11), P. 1968 - 1968

Published: Nov. 7, 2024

Forests are widely distributed in terrestrial ecosystems, covering about one-third of the global land area. They play a key role sequestering carbon, releasing oxygen, mitigating climate change, and maintaining ecosystem balance. The ecology Tibetan Plateau is very fragile, but impact environmental change on regional forest ecosystems not yet clear. Located Eastern Plateau, Shaluli Mountain has richest biodiversity widest distribution forests Plateau. Assessing dynamics basis for correctly formulating management measures, important conservation. However, traditional field surveys have shortcomings high cost, being time-consuming, having poor coverage monitoring. Remote sensing methods can make up these shortcomings. Therefore, this study, satellite remote images were used to extract information from 2000 2020 Mountain, main drivers analyzed with full consideration Spatially Stratified Heterogeneity (SSH) factors. results found that area increased 23,144.20 km2 28,429.53 2020, average Percentage Forest Cover (PFC) 19.76% 21.67%, significant improvement growth. annual minimum temperature (TMN), altitude, maximum (TMX), precipitation (PRE) driving factors an power (q-value) 0.4877, 0.2706, 0.2342, 0.2244, TMN was primary limiting factor In addition, all 2020. study provide development strategies, reference materials

Language: Английский

Citations

0