Prediction of Suitable Habitat Distribution of Cryptosphaeria pullmanensis in the World and China under Climate Change DOI Creative Commons

Chengcai Yan,

Haiting Hao,

Zhe Wang

et al.

Journal of Fungi, Journal Year: 2023, Volume and Issue: 9(7), P. 739 - 739

Published: July 11, 2023

Years of outbreaks woody canker (Cryptosphaeria pullmanensis) in the United States, Iran, and China have resulted massive economic losses to biological forests fruit trees. However, only limited information is available on their distribution, habitat requirements not been well evaluated due a lack research. In recent years, scientists utilized MaxEnt model estimate effect global temperature specific environmental conditions species distribution. Using occurrence high resolution ecological data, we predicted spatiotemporal distribution C. pullmanensis under twelve climate change scenarios by applying model. We identified climatic factors, geography, soil, land cover that shape range determined shifts range. Then, measured suitable area, ratio area habitat, expansion shrinkage maps change, direction distance changes from present end twenty-first century, variables. mostly widespread high-suitability regions northwestern China, majority Afghanistan, Turkey, northern Chile, southwestern Argentina, west coast California States. Under future conditions, varied intensities favored habitats for China. appropriate areas are diminishing globally. The trend migration toward latitudes elevations higher. estimated possible suitability shifted eastward results study valuable countries such as Morocco, Spain, Kazakhstan, etc., where infection has yet fully spread or established, but also nations discovered. Authorities should take steps reduce greenhouse gas emissions order restrict pullmanensis. Countries with highly locations increase surveillance, risk assessment, response capabilities.

Language: Английский

Impact of climate change on the future distribution of three Ferulago species in Iran using the MaxEnt model DOI
Nasser Hosseini, Hossein Mostafavi, Seyed Mohammad Moein Sadeghi

et al.

Integrated Environmental Assessment and Management, Journal Year: 2024, Volume and Issue: 20(4), P. 1046 - 1059

Published: Feb. 9, 2024

Abstract The decline of habitats supporting medicinal plants is a consequence climate change and human activities. In the Middle East, Ferulago angulata , carduchorum phialocarpa are widely recognized for their culinary, medicinal, economic value. Therefore, this study models these species in Iran using MaxEnt model under two representative concentration pathways (RCP4.5 RCP8.5) 2050 2070. objective was to identify most important bioclimatic ( n = 6), edaphic 4), topographic 3) variables influencing distribution predict changes various scenarios. Findings reveal slope percentage as significant variable F. while solar radiation primary . modeling demonstrated good excellent performance, indicated by all area curve values exceeding 0.85. Projections suggest negative (i.e., predictions RCP4.5 2070 indicate −34.0% −37.8% −0.3% −6.2% ; additionally, RCP 8.5 show −39.0% −52.2% −1.33% −9.8% ), potential habitat increase 23.4% 11.2%, 64.4% 42.1%) anticipated. These insights guide adaptive management strategies, emphasizing conservation sustainable use amid global change. Special attention should be paid due anticipated loss. Integr Environ Assess Manag 2024;20:1046–1059. © 2024 SETAC

Language: Английский

Citations

3
The Distribution Range of Populus euphratica Oliv. (Salicaceae) Will Decrease Under Future Climate Change in Northwestern China DOI Open Access
Xun Lei,

Mengjun Qu,

Jianming Wang

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(8), P. 1288 - 1288

Published: July 24, 2024

Climate change has been regarded as a primary threat to biodiversity at local, regional, and global scales. Populus euphratica Oliv. is one of the main constructive species in dryland regions key role regulating ecosystem processes services. However, there knowledge gap regarding spatial distribution habitat suitability P. how it will be affected by future climate change. Based on records collected from an online database specialized literature, we applied optimized MaxEnt model predict range China under four scenarios (SSP126, SSP245, SSP370, SSP585) for both current (2090s) conditions. We found that (1) would reduce adaptability euphratica, resulting significant decrease its area; (2) water availability had most important effect distribution; (3) shift northwestward contract towards lower elevations closer rivers future. These findings can provide reference developing long-term conservation management strategies arid regions.

Language: Английский

Citations

3
Prediction of Potential Suitability Areas for Ephedra sinica in the Five Northwestern Provinces of China under Climate Change DOI Creative Commons

Yibo Xu,

Xiaohuang Liu,

Lianrong Zhao

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(10), P. 1830 - 1830

Published: Oct. 17, 2024

Ephedra sinica (E. sinica) holds significant economic and medicinal importance is predominantly found in arid areas. Due to the limitations of environmental variables, growth habits, human activities, production suitability areas E. have significantly decreased, especially five northwestern provinces China. In this study, 212 distribution points 40 variables were obtained project habitat under different emission scenarios future. It identified precipitation wettest month, monthly mean diurnal temperature difference, solar radiation intensity April July as primary factors affecting region. The high, medium, low region cover 103,000 km2, 376,500 486,800 km2. Under future scenarios, from 2021 2100 will decrease by 20%, with high decreasing 65% 85% particularly. With comprehensive are projected, filling gap projection China over long time period. show a trend. This research provides valuable insights into crucial factors, offering theoretical support for protection management efforts sinica.

Language: Английский

Citations

3
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
Efficient cadmium uptake and accumulation in pokeweed (Phytolacca americana L.) associated with its potential for phytoremediation of cadmium-polluted soils DOI

Yifan Xia,

Fan Yang, Lin Hu

et al.

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

Published: April 2, 2025

Language: Английский

Citations

0
Differences in the Suitable Distribution Area between Northern and Southern China Landscape Plants DOI Creative Commons
Chen Wang, Qianqian Sheng, Runan Zhao

et al.

Plants, Journal Year: 2023, Volume and Issue: 12(14), P. 2710 - 2710

Published: July 20, 2023

Climate change, a global biodiversity threat, largely influences the geographical distribution patterns of species. China is abundant in woody landscape plants. However, studies on differences adaptive changes plants under climate change between northern and southern are unavailable. Therefore, herein, MaxEnt model was used to predict suitable area (SDA) dominant environmental variables 29 tree species two scenarios, shared socioeconomic pathways (SSPs) 126 585, based plant 20 assess change. Temperature factors dominated SDA both Southern often by one climatic factor, whereas influenced combination factors. Northern greater pressure from than plants, their shrinkage tendency significantly higher. no significant difference observed expansion, mean elevation, latitudinal mass center. Future will drive migrate higher latitudes rather elevations. future has varying effects SDAs within China. The intensity experience SDA-change-related must be heavily monitored protected.

Language: Английский

Citations

8
Rhizospheric Lactobacillus spp. contribute to the high Cd-accumulating characteristics of Phytolacca spp. in acidic Cd-contaminated soil DOI
Xiong Li,

Boqun Li,

Yuanyuan Liu

et al.

Environmental Research, Journal Year: 2023, Volume and Issue: 238, P. 117270 - 117270

Published: Sept. 29, 2023

Language: Английский

Citations

8
Application of MaxEnt Model in Biomass Estimation: An Example of Spruce Forest in the Tianshan Mountains of the Central-Western Part of Xinjiang, China DOI Open Access
Ding Xue, Zhonglin Xu, Yao Wang

et al.

Forests, Journal Year: 2023, Volume and Issue: 14(5), P. 953 - 953

Published: May 5, 2023

Accurately estimating the above-ground biomass (AGB) of spruce forests and analyzing their spatial patterns are critical for quantifying forest carbon stocks assessing regional climate conditions in China’s drylands, with significant implications sustainable management conservation ecosystems Tianshan Mountains. The K-Means clustering algorithm was used to divide 144 measured AGB samples into four classes, combined remote sensing data from Landsat products, 19 bioclimatic variables, 3 topographical soil variables generate probability distributions classes using MaxEnt model. Finally, distribution mapped mathematical formulae available GIS software. Results indicate that (1) area under receiver operating characteristic curve (AUC-ROC) models all exceeded 0.8, indicating satisfactory model accuracy; (2) dominant factors affecting different varied. primary first–fourth were altitude (20.4%), precipitation warmest quarter (Bio18, 15.7%), annual mean temperature (Bio1, 50.5%), red band (Band4, 26.7%), respectively, response curves indicated third more tolerant elevation than first second classes; (3) has a pattern being higher west low east, “single-peaked” terms latitude, average pixels 680.92 t·hm−2; (4) correlation coefficient between predicted is 0.613 (p < 0.05), uncertainty estimation at 39.32%. This study provides valuable insights drivers Mountains, which can inform effective strategies.

Language: Английский

Citations

4
Applying specific habitat indicators to study Asteraceae species diversity patterns in mountainous area of Beijing, China DOI Creative Commons

lin zhang

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: March 13, 2024

Abstract Determining the distribution pattern and drivers of specific species diversity is significant for predicting response to biodiversity formulating conservation programs reduce loss. How apply regional habitat indicators study patterns a hot spot in recent years. In this study, we investigated 112 Asteraceae plants sample plots explored effects topography, soil nutrients stand factors on by using SEM model. And responses was simulated Maxent The results shown that had highest, but topography canopy closure lowest relative contributions among these factors. Topography affected direct indirect effects. contribution rate each potential environmental variable’s impact ranked as following: STN (29.7%)> SOC (28.5%) > slope (8.5%)> Ele (8.1%). abundant at high (＞27g/kg), (＞1.8 g/kg), low (165–333 m) gentle slopes (5–12 degrees). Our indicates could an indicator reflect or evaluate level nutrient content.

Language: Английский

Citations

1
Assessment of the Spatiotemporal Dynamics of Suitable Habitats for Typical Halophytic Vegetation in China Based on Maxent Model and Landscape Ecology Theory DOI Open Access
Fuyin Guo, Xiaohuang Liu,

Xuehua Chen

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(10), P. 1757 - 1757

Published: Oct. 6, 2024

The widespread and complex formation of saline soils in China significantly affects the sustainable development regional ecosystems. Intense climate changes land use further exacerbate uncertainties faced by ecosystems areas. Therefore, studying distribution characteristics typical halophytic vegetation under influence change human activities, exploring their potential areas, is crucial for maintaining ecological security regions. This study focuses on Tamarix chinensis, austromongolica, leptostachya, integrating geographic information systems, remote sensing, species models, landscape risk (LER) theories technologies. An optimized MaxEnt model was established using ENMeval package, incorporating 143, 173, 213 records 13 selected environmental variables to simulate suitable habitats these three species. A quantitative assessment spatial area geographical conducted. Additionally, a (LERA) highly performed data from 1980 2020, results LERA were quantified Landscape Risk Index (LERI). showed that areas leptostachya 9.09 × 105 km2, 6.03 5.20 respectively, concentrated flat such as plains basins. austromongolica increasing 27.22% its habitat, northern region, followed chinensis 16.70% with risk, western habitats; least affected, an increase only 1.38% area. provides valuable insights protection vegetation, represented Tamarix, context China’s national development.

Language: Английский

Citations

1