Assessment of the potential habitat suitability and ephedrine quality of two Ephedra species in China under climate change DOI
Xiaowei Li, Xian Gu,

Fuying Mao

et al.

Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology, Journal Year: 2024, Volume and Issue: 158(3), P. 479 - 489

Published: March 12, 2024

Ephedra sinica and intermedia are important medicinal plants critical raw materials for ephedrine extraction in the pharmaceutical industry. Climate change will affect their distribution quality. In our study, information on E. was collected through wilderness online surveys. Using high-performance liquid chromatography, we determined contents of pseudoephedrine. We then utilized maximum entropy model to assess potential impact future climate quality two Ephedra. The results showed that species were predominantly found arid semiarid regions northern China. suitable habitats area be severely degraded under RCP 2.6, 4.5 8.5 conditions opposite. accumulation chemical components depends precipitation wettest month (Bio13) soil sand content, while mean temperature warmest quarter (Bio10) seasonality (Bio15). Overall, research provide basis high-quality conservation sustainable resource development.

Language: Английский

Projecting Current and Future Habitat Suitability of the Pepper Weevil, Anthonomus eugenii Cano, 1894 (Coleoptera: Curculionidae), in China: Implications for the Pepper Industry DOI Creative Commons
Qisong Li, Jianxiang Mao,

Weifeng Wang

et al.

Insects, Journal Year: 2025, Volume and Issue: 16(2), P. 227 - 227

Published: Feb. 19, 2025

The pepper weevil, Anthonomus eugenii Cano, 1894 (Coleoptera: Curculionidae), poses a significant threat to cultivation, causing extensive crop damage and economic losses. While numerous studies have addressed its occurrence, biology, control methods, less attention has been given how climate change might alter distribution. This research utilized the optimized MaxEnt model project current future habitat suitability of weevil under four distinct scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5) for periods spanning 2030s 2090s. Optimal performance was achieved with regularization multiplier two feature combination QHP, yielding high predictive accuracy mean testing AUC values 0.921. analysis identified annual temperature (Bio1) precipitation coldest quarter (Bio19) as primary environmental factors influencing pest's Currently, in China, suitable habitats A. encompass an area 273.74 × 104 km2 or 28.47% nation's territory, predominantly located central, eastern, southern, southwestern regions. Future projections suggest that areas are expected shrink across various scenarios, barring increases specific instances like SSP126-2050s, SSP245-2070s, SSP370-2050s, shifts towards investigation deepens our comprehension agricultural pest dynamics supports formulation preemptive management strategies safeguard productivity.

Language: Английский

Citations

0
A Host Availability-Driven Model for Predicting the Distribution of Red Palm Weevil in China DOI
Umer Hayat, M. Ahmad,

Waqar Sattar

et al.

Crop Protection, Journal Year: 2025, Volume and Issue: unknown, P. 107176 - 107176

Published: Feb. 1, 2025

Language: Английский

Citations

0
Assessing vulnerability of tropical floodplains of Assam to macrophyte invasion under climate scenarios using ensemble modelling DOI

Samim Borbhuyan,

Pujarini Samal,

Nami Prasad

et al.

Modeling Earth Systems and Environment, Journal Year: 2025, Volume and Issue: 11(2)

Published: Feb. 28, 2025

Language: Английский

Citations

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

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 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

Language: Английский

Citations

0
Climate-Driven Invasion Risks of Japanese Beetle (Popillia japonica Newman) in Europe Predicted Through Species Distribution Modelling DOI Creative Commons
Giuseppe Pulighe, Flavio Lupia,

Valentina Manente

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(7), P. 684 - 684

Published: March 24, 2025

Invasive species pose a growing threat to global biodiversity, agricultural productivity, and ecosystem health, as climate change worsens their spread. This study focused on modelling the current projected distribution of Japanese beetle (Popillia japonica Newman), an invasive pest with potentially devastating impacts crops natural vegetation across Europe. Using MaxEnt model, we integrated occurrence data bioclimatic variables, analyzing future scenarios based Shared Socio-economic Pathways (SSP1-2.6, SSP2-4.5, SSP5-8.5) for near-term (2021–2040) mid-term (2041–2060) periods. By reclassifying model results, identified European regions negligible, low, medium, high exposure this under pathways. The results in central Europe covering area 83,807 km2 that are currently at medium risk infestation. Future projections suggest northward expansion suitable areas increasing 120,436 worst-case scenario, particularly northern Italy, southern Germany, Western Balkans, parts France. These spatially explicit findings can inform targeted monitoring, early detection, management strategies mitigate economic ecological threats posed by beetle. Integrating is imperative science-based policies tackle challenge biological invasions. research provides framework assessing invasion risks scale guiding adaptive responses systems.

Language: Английский

Citations

0
Predicting the potential distribution of the invasive weed Mikania micrantha and its biological control agent Puccinia spegazzinii under climate change scenarios in China DOI Creative Commons
Wei Zhang, Qing Huang,

Yingzhi Kuang

et al.

Biological Control, Journal Year: 2025, Volume and Issue: unknown, P. 105754 - 105754

Published: March 1, 2025

Language: Английский

Citations

0
Identification of Acacia invasive species in protected areas of Spain using PlanetScope high-resolution satellite images and machine learning models in time series: an important action for protective management of forests DOI
Saeedeh Eskandari, Carolina Acuña-Alonso, Xana Álvarez

et al.

Forest Ecology and Management, Journal Year: 2025, Volume and Issue: 586, P. 122696 - 122696

Published: April 9, 2025

Language: Английский

Citations

0
The Ecological Risks and Invasive Potential of Introduced Ornamental Plants in China DOI Creative Commons

H. Wang,

Min Yang,

Xiaohua Ma

et al.

Plants, Journal Year: 2025, Volume and Issue: 14(9), P. 1361 - 1361

Published: April 30, 2025

The import of ornamental plants has become a major source alien invasive in China, posing threats to local ecosystems. However, research on their potential and management strategies remains limited. This study evaluated the invasion risks nine representative introduced (including naturalized species) China (IOPCs). Using ecospat perform climatic niche comparisons, we found significant unfilling expansion (>50%) most plants, indicating strong invasiveness. Species distribution models (SDMs) were applied predict current future distributions these IOPCs under four shared socioeconomic pathways (SSPs: SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5) across time periods (2021-2040, 2041-2060, 2061-2080, 2081-2100). SDM results showed that high-risk areas are concentrated southern China. Under climate change, moderate- zones projected shift northward, with total increasing significantly, namely moderate-risk by 106.10% 64.35%, particularly border regions Jiangxi, Fujian, Zhejiang. We recommend establishing restricted introduction lists for non-native enhancing monitoring regions, implementing early eradication measures. quantified providing scientific basis effective control strategies.

Language: Английский

Citations

0
Exploring the potential distribution areas of Changnienia amoena and its pollinators in China based on MaxEnt and GTWR models DOI
Minxia Liu, Xiaowen Wang,

Chunliang Yang

et al.

Journal for Nature Conservation, Journal Year: 2025, Volume and Issue: unknown, P. 126946 - 126946

Published: May 1, 2025

Language: Английский

Citations

0
Assessing the potential global distribution of Monochamus sutor (Coleoptera: Cerambycidae) under the influence of climate change and human activities based on Maximum Entropy model DOI
Liang Zhang,

Chaokun Yang,

Ping Wang

et al.

Journal of Economic Entomology, Journal Year: 2025, Volume and Issue: unknown

Published: May 11, 2025

Abstract Monochamus sutor, an important phytophagous pest, is a known vector insect of Bursaphelenchus mucronatus in addition to feeding directly on trees. Although B. causes relatively minor damage European and Asian forests, its threat coniferous forests similar that xylophilus. Given xylophilus evolved into destructive pathogen after introduction Asia, may also pose potential North American forests. Therefore, we assessed the global distributions areas M. sutor their relative dynamics under different climate scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5) current (i. considering only bioclimatic factors; ii. including anthropogenic factors) future (2050s 2070s) using optimized Maximum Entropy ecological niche model. The mean area curve value model was greater than 0.86 true skill statistic 0.79. Potentially suitable habitat for driven by combination temperature (Bio1 Bio2), precipitation (Bio14, Bio15, Bio18), human activities. In period, are concentrated Europe, East America, smaller presence disturbance factors alone. At same time, scenarios, range will always expand more contract, with projected increase 1,329.02 1,798.23 × 104 km2 compared time especially spread toward Canada United States America America. present study provides insights risks which help guide decision-making pest control as well forest conservation.

Language: Английский

Citations

0