Reconstructing the biological invasion of noxious invasive weed Parthenium hysterophorus and invasion risk assessment in China DOI Creative Commons

Huisen Zheng,

Xinjie Mao,

Yi Lin

и другие.

Frontiers in Plant Science, Год журнала: 2024, Номер 15

Опубликована: Сен. 19, 2024

Invasive alien plants (IAPs) present a severe threat to native ecosystems and biodiversity. Comprehending the potential distribution patterns of these plant invaders their responses climate change is essential. Parthenium hysterophorus , Americas, has become an aggressively invasive species since its introduction China in 1930s. This study aims collect reconstruct historical occurrence invasion P. . Using optimal MaxEnt model, geographical distributions were predicted based on screened occurrences environmental variables under current three future scenarios 2030s, 2050s, 2070s (i.e., SSP1-2.6, SSP2-4.5, SSP5-8.5), risk Chinese cities, croplands, forests, grasslands was assessed. The results show that: (1) initially invaded highly suitable areas further spread regions with non-analogous conditions. (2) Under climatic conditions, overall characterized by more southeast less northwest. Climate variables, including mean annual temperature (bio1), precipitation wettest month (bio13), isothermality (bio3), seasonality (bio4), are primary factors influencing distribution. (3) will expand scenarios, particularly toward higher latitudes. (4) Forests crop lands most serious Therefore, we suggest that government should strengthen monitoring management prevent protect agro-ecosystems human habitats. Depending areas, measures such as quarantine, removal, publicity be taken mitigate raise awareness prevention.

Язык: Английский

Assessing the Current and Future Potential Distribution of Solanum rostratum Dunal in China Using Multisource Remote Sensing Data and Principal Component Analysis DOI Creative Commons
Tiecheng Huang, Tong Yang, Kun Wang

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(2), С. 271 - 271

Опубликована: Янв. 10, 2024

Accurate information concerning the spatial distribution of invasive alien species’ habitats is essential for species prevention and management, ecological sustainability. Currently, nationwide identification suitable highly destructive potentially weed, Solanum rostratum Dunal (S. rostratum), poses a series challenges. Simultaneously, research on potential future invasion areas likely directions spread has not received adequate attention. This study, based occurrence data multi-dimensional environmental variables constructed from multi-source remote sensing data, utilized Principal Component Analysis (PCA) in combination with Maxent model to effectively current habitat S. China, while quantitatively assessing various factors influencing its distribution. Research findings indicate that area covers 1.3952 million km2, all which located northern China. As trend climate warming persists, suitability range projected shift southward expand future; still predominantly it will have varying degrees expansion at different time frames. Notably, during period 2040 2061, under SSP1-2.6 scenario, exhibits most significant increase, surpassing scenario by 19.23%. Furthermore, attribution analysis PCA inverse transformation reveals soil, climate, spatial, humanistic, topographic collectively influence habitats, soil factors, particular, playing dominant role contributing up 75.85%. study identifies target management control rostratum, providing valuable insights into factor selection variable screening methods modeling (SDM).

Язык: Английский

Процитировано

9
Contrasting range changes and drivers of four forest foundation species under future climate change in China DOI
Weixue Luo, Chengxiang Sun, S. Y. Yang

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 942, С. 173784 - 173784

Опубликована: Июнь 7, 2024

Язык: Английский

Процитировано

6
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

и другие.

Plants, Год журнала: 2025, Номер 14(4), С. 506 - 506

Опубликована: Фев. 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.

Язык: Английский

Процитировано

0
Future climate change facilitates the herb drought-tolerant species distribution than woody species DOI

Huimin Duan,

Shuxia Sun,

Wenjun Yang

и другие.

Environmental Research, Год журнала: 2025, Номер unknown, С. 121039 - 121039

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Phylogenetically close alien Asteraceae species with minimal niche overlap are more likely to invade DOI Creative Commons
Xing-Jiang Song, Gang Liu, Xin-Di Li

и другие.

Plant Diversity, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Mapping Spatial Heterogeneity of Non-Structural Carbohydrates in Haloxylon ammodendron Using Remote Sensing in Extreme Desert Environments DOI Creative Commons

Weiyi Zhou,

Jing Zhang, Benfeng Yin

и другие.

Plant Stress, Год журнала: 2025, Номер unknown, С. 100790 - 100790

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Modeling current and future distributions of invasive Asteraceae species in Northeast China DOI Creative Commons
Jie Yu, Lan Li, Hangnan Yu

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Март 11, 2025

The ecological balance and agricultural productivity of northeastern China are seriously threatened by the long-term invasion spread Asteraceae plants, which have severely disrupted region's biodiversity ecosystem stability. Ambrosia artemisiifolia L., trifida Erigeron canadensis L. Class 1 malignant invasive species widely distributed across China. In this context, we selected 36 predictor variables utilized MaxEnt model to investigate influence current climate on their distribution patterns. Using future data, projected shifts in dynamics these three for two time periods (2041–2060 2061–2080) under change scenarios (SSP126, SSP245, SSP585). demonstrated a good predictive impact, with an average area curve (AUC) 0.918. Currently, primarily found southern part However, due climatic changes, centroids gradually shifting southwest, leading increase highly suitable zones species. Moreover, trend analysis revealed that potential changes southwestern likely experience increasing various models. This study provides initial insights into change, enabling formulation plans managing preventing risks impacts

Язык: Английский

Процитировано

0
Human activities affect the future suitability of alien urban landscape species in China under climate change DOI

Wenbo Mou,

Jin Cheng, Siwei Hu

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 124899 - 124899

Опубликована: Март 12, 2025

Язык: Английский

Процитировано

0
Predicting Suitable Spatial Distribution Areas for Urban Trees Under Climate Change Scenarios Using Species Distribution Models: A Case Study of Michelia chapensis DOI Creative Commons

C. Y. Shen,

Xi Chen, Chao Zhou

и другие.

Land, Год журнала: 2025, Номер 14(3), С. 638 - 638

Опубликована: Март 18, 2025

Climate change has presented considerable challenges in the management of urban forests and trees. Varieties studies have predicted potential changes species distribution by employing single-algorithm models (SDMs) to investigate impacts climate on plant species. However, there is still limited quantitative research suitable ranges commonly used tree Therefore, our study aims optimize traditional SDMs integrating multiple machine learning algorithms propose a framework for identifying trees under change. We took Michelia chapensis, particular significance southern China, as pilot evolution its range context two future scenarios (SSP126 SSP585) across four periods (2030s, 2050s, 2070s, 2090s). The findings indicated that ensemble SDM showed strong predictive capacity, with an area curve (AUC) value 0.95. chapensis estimated at 15.9 × 105 km2 currently it will expand most areas according projection. contract southeastern Yunnan, central Guangdong, Sichuan Basin, northern Hubei, Jiangxi, etc. location current located Hengyang, Hunan (27.36° N, 112.34° E), projected shift westward future. migration magnitude positively correlated intensity These provide scientific basis landscape planning chapensis. Furthermore, proposed can be seen valuable tool predicting response change, providing insights proactive adaptation management.

Язык: Английский

Процитировано

0
Invasion risk of typical invasive alien plants in mountainous areas and their interrelationship with habitat quality: A case study of Badong County in central China DOI Creative Commons
Sherry Y. Wu, Junchen Chen, Shuqi Jiang

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 125083 - 125083

Опубликована: Март 30, 2025

Invasive alien species (IASs) are a key factor in the loss of regional biodiversity, and exploring risk IASs their interrelationships with biodiversity is great significance for preventing region enhancing ecological quality. In this study, we used Badong County as an example analyzed potential distribution areas invasive plants (IAPs) habitat quality based on field survey data using models, including MaxEnt InVEST models. The results research were follows: (1) four typical IAPs was similar, high medium suitability basically distributed north-central area County, which densely populated had low elevation well-developed river water systems. (2) average index 0.81, indicating generally Spatially, northern townships significantly lower than that southern townships. (3) Both invasion individual comprehensive spatially negatively correlated quality; largest proportion, followed by risk. (4) Competition between may reduce negative relationship IAP to certain extent. findings study can be anticipate prevalence thereby providing foundation controlling offering scientific reference biodiversity.

Язык: Английский

Процитировано

0