Analyzing the distribution patterns and dynamic niche of Magnolia grandiflora L. in the United States and China in response to climate change DOI Creative Commons
Wenqian Zhang, Xinshuai Wang,

Shouyun Shen

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: Oct. 22, 2024

Introduction Magnolia grandiflora L. (southern magnolia) is native to the southeastern coastal areas of United States, from North Carolina eastern Texas (USDA Cold Hardiness Zone 8). It currently widely cultivated in Zones 5-10 U.S. and southern Yangtze River regions China. Limited studies have examined effects climate change human activities on geographical distribution adaptability M. during its introduction Methods We selected 127 occurrence points 87 China, along with 43 environmental variables, predict suitable habitat for using present data (1970-2000) projected future (2050-2070) based a complete niche ensemble model (EM) Biomod2 package. also predicted both countries 'ecospat' package R. Results The models demonstrated high reliability, an AUC 0.993 TSS 0.932. Solar radiation July, impact index, precipitation wettest month were identified as most critical variables influencing distribution. species shows similar trend expansion under scenarios countries, expansions towards northwest northeast, contractions regions. Discussion Our study emphasizes practical framework predicting habitats migration Magnoliaceae scenarios. These findings provide valuable insights. conservation, introduction, management strategies, sustainable utilization grandiflora.

Language: Английский

Predicting Potential Suitable Habitats of Three Rare Wild Magnoliaceae Species (Michelia crassipes, Lirianthe coco, Manglietia insignis) Under Current and Future Climatic Scenarios Based on the Maxent Model DOI Creative Commons
Yu Fan,

Weihao Yao,

Zenghui Wang

et al.

Plants, Journal Year: 2025, Volume and Issue: 14(4), P. 506 - 506

Published: Feb. 7, 2025

In recent years, the impacts of climate change and human activities have intensified loss fragmentation habitats for wild rare Magnoliaceae. Predicting potential future on suitable habitat distribution endangered Magnoliaceae species is great significance their conservation application. This study employs optimized MaxEnt model to investigate current three (Michelia crassipes, Lirianthe coco, Manglietia insignis). The dominant environmental variables influencing were also explored. results showed following: (1) range currently span from 92-122° N 19-36° E. Variables associated with temperature (bio2, bio9, bio4) altitude (Ele) significantly influence these species, precipitation (bio17) ultraviolet radiation (UVB4) playing a minor role. warm humid in central southern China highly conducive growth. (2) Under SSP126 scenario, after mid-21st century, area Michelia crassipes has undergone fluctuating trend initial increase followed by decrease, reducing 51.84 × 104 km2 2090. On other hand, both areas coco insignis show an upward trend. SSP245 SSP585 scenarios, total gradually decrease. (3) We compared priority protection existing Protected Areas (PAs) gap analysis; 96.84% are lacking effective protection. (4) centroid constantly moving western China. order address fragmentation, it recommended that natural reserves be expanded ecological corridors established future, preferably according predicted protected refuges or species. Overall, findings provide valuable insights preservation, stewardship, utilization under circumstances projected global change.

Language: Английский

Citations

0
A Simulation of a Suitable Habitat for Acer yangbiense and Cinnamomum chago Under Climate Change DOI Open Access
Kunshan Gao, Haiyang Wu, Chunping Li

et al.

Forests, Journal Year: 2025, Volume and Issue: 16(4), P. 621 - 621

Published: April 2, 2025

Species migration or extinction events may occur on a large scale with the intensification of climate change. Plant Extremely Small Populations (PSESP) are more sensitive to change as compared other plants. To date, potential effect Acer yangbiense and Cinnamomum chago, both which belong PSESP, remain unknown. In this study, we modeled distribution dynamics A. C. chago spanning from Last Glacial Maximum (LGM) end 21st century based MaxEnt model, optimized using Kuenm package. The results revealed that parameter settings optimal models were RM (regularization multiplier) = 3.5, FC (feature combination) QP, 2, QPT. had AUCs 0.982 0.993, respectively, indicating model predictions highly accurate while effectively balancing complexity avoiding overfitting. was mostly influenced by precipitation driest quarter (bio17) min temperature coldest month (bio6). From LGM present, total suitable areas initially declined before showing subsequent increase, but it is projected experience significant reductions in future, decreases 32.98%–64.99% 63.48%–99.49%, respectively. centroids showed trend south north expected continue. enhance resilience meet challenges proposed introduction artificial cultivation these species should be carried out Baoshan, Dali, Nujiang northwest Yunnan Province, high heat values, so expand populations gradually.

Language: Английский

Citations

0
Diversity and Geographic Distribution Patterns of Wild Magnoliaceae Species in China DOI Open Access

Weihao Yao,

Yu Fan, Zenghui Wang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9448 - 9448

Published: Oct. 30, 2024

Magnoliaceae, an ancient lineage of relict plants, were once extensively distributed throughout geological history. Understanding their species diversity, geographic distribution patterns, and hotspots is essential for providing a theoretical foundation germplasm resource assessment, conservation, utilization. This study presents comprehensive catalog wild Magnoliaceae in China, derived from extensive literature review integrating endemism data. Utilizing GIS 10.2 software, we analyzed data up to July 2024, revealing that China hosts 157 across 13 genera, including 11 varieties, two subspecies, three forms. These are 24 provincial-level administrative regions, special regions municipalities. Yunnan Province exhibits the highest richness, with 12 genera 94 species, followed by Guizhou, 9 65 Guangxi, 62 species. At county level, found 609 Malipo County recording count (32 species), Leishan Guizhou (28 species). Vertically, most abundant H3 elevation band (1000 < ≤ 1500 m), while H7 (H7 > 3000 m) shows lowest diversity. has endemic Pachylarnax Woonyoungia, along 102 which Michelia accounts number endemics at 33. The composition significant similarity Sichuan, Yunnan, indicating close phylogenetic relationships among these floras. Yunnan–Guizhou–Guangxi region identified as “modern center”, “diversity preservation “hotspot”, “refuge” China. highlights importance understanding diversity patterns effective development, sustainable utilization plant resources.

Language: Английский

Citations

2
Analyzing the distribution patterns and dynamic niche of Magnolia grandiflora L. in the United States and China in response to climate change DOI Creative Commons
Wenqian Zhang, Xinshuai Wang,

Shouyun Shen

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: Oct. 22, 2024

Introduction Magnolia grandiflora L. (southern magnolia) is native to the southeastern coastal areas of United States, from North Carolina eastern Texas (USDA Cold Hardiness Zone 8). It currently widely cultivated in Zones 5-10 U.S. and southern Yangtze River regions China. Limited studies have examined effects climate change human activities on geographical distribution adaptability M. during its introduction Methods We selected 127 occurrence points 87 China, along with 43 environmental variables, predict suitable habitat for using present data (1970-2000) projected future (2050-2070) based a complete niche ensemble model (EM) Biomod2 package. also predicted both countries 'ecospat' package R. Results The models demonstrated high reliability, an AUC 0.993 TSS 0.932. Solar radiation July, impact index, precipitation wettest month were identified as most critical variables influencing distribution. species shows similar trend expansion under scenarios countries, expansions towards northwest northeast, contractions regions. Discussion Our study emphasizes practical framework predicting habitats migration Magnoliaceae scenarios. These findings provide valuable insights. conservation, introduction, management strategies, sustainable utilization grandiflora.

Language: Английский

Citations

1