MaxEnt and Marxan modeling to predict the potential habitat and priority planting areas of Coffea arabica in Yunnan, China under climate change scenario DOI Creative Commons
Li Xia,

Zihao Wang,

Xiaobo Wang

et al.

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

Published: Nov. 28, 2024

(Arabica coffee) is an important cash crop in Yunnan, China. Ongoing climate change has made coffee production more difficult to sustain, posing challenges for the region's industry. Predictions of distribution potentially suitable habitats Arabica Yunnan could provide a theoretical basis cultivation and rational management this species.

Language: Английский

Potential Suitable Habitats of Chili Pepper in China under Climate Change DOI Creative Commons

Changrong Deng,

Qiwen Zhong,

Dengkui Shao

et al.

Plants, Journal Year: 2024, Volume and Issue: 13(7), P. 1027 - 1027

Published: April 4, 2024

Chili pepper (Capsicum annuum L.) is extensively cultivated in China, with its production highly reliant on regional environmental conditions. Given ongoing climate change, it imperative to assess impact chili cultivation and identify suitable habitats for future cultivation. In this study, the MaxEnt model was optimized utilized predict open-field cultivation, changes these were analyzed using ArcGIS v10.8. Our results showed that parameter settings of optimal FC = LQPTH RM 2.7, critical variables influencing distribution annual mean temperature, isothermality, maximum temperature warmest month, precipitation quarter. Under current conditions, distributed across all provinces moderately- highly-suitable concentrated east Qinghai–Tibetan Plateau south Inner Mongolia Plateau. scenarios, area expected be larger than ones, except SSP126-2050s, reached under SSP126-2090s. The overlapping various scenarios. 2050s, centroids predicted shift towards southwest, SSP126, whereas trend reversed 2090s. suggest warming conductive pepper, provide scientific guidance introduction face warming.

Language: Английский

Citations

10

Prediction of Potential Suitable Distribution of Liriodendron chinense (Hemsl.) Sarg. in China Based on Future Climate Change Using the Optimized MaxEnt Model DOI Open Access
Jieyuan Bai, Hongcheng Wang,

Yike Hu

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(6), P. 988 - 988

Published: June 5, 2024

Liriodendron chinense (Hemsl.) Sarg. (Magnoliales: Magnoliaceae), valued for its medicinal properties and timber as an ornamental plant, is now classified endangered species. Investigating how future climate-change scenarios might affect the potential geographic distribution of L. will provide a crucial scientific basis protection management strategies. The MaxEnt model was calibrated using ENMeval optimization package, then it coupled with ArcGIS 10.8 to forecast possible areas in China, utilizing elevation data, bioclimatic factors, human footprint environmental variables. results indicate: (1) optimal parameters were set follows: FC = LQ, RM 0.5, demonstrated high predictive accuracy minimal overfitting; (2) total suitable habitat area geographical during current period estimated at 151.55 × 104 km2, predominantly located central, eastern, southwestern regions China; (3) minimum temperature coldest month (bio6), precipitation driest (bio14), quarter (bio17), warmest (bio18), (alt), (hf) are main variables determining chinense; (4) During from 2041 2060, under carbon emission SSP126, SSP245, SSP370, shows varying degrees increase compared period. However, highest concentration scenario SSP585, decreases some extent; (5) likely move towards higher latitudes elevations due changes climate. This research provides comprehensive analysis impacts climate change on chinense, offering valuable information climatic conditions.

Language: Английский

Citations

7

Identifying Suitable Regions for Fritillaria unibracteata Cultivation Without Damage from the Pest Eospalax baileyi DOI Creative Commons

Changrong Deng,

Jianling Li,

Shan Tao

et al.

Plants, Journal Year: 2025, Volume and Issue: 14(5), P. 674 - 674

Published: Feb. 22, 2025

The plateau zokor, Eospalax baileyi Thomas, is a destructive mammal pest affecting the cultivation of medicinal plant Fritillaria unibracteata Hsiao et K.C. Hsia. Identifying regions exclusively suitable for an effective way to mitigate zokor-induced damage. In this study, optimal MaxEnt model and ArcGIS were employed predict habitats both species identify pest-free cultivation. Our results indicate that elevation annual mean temperature are critical factors influencing distribution, while distribution determined by precipitation t warmest quarter. Under current future climates, concentrated in Qinghai–Tibet Plateau, reaching their maximum under SSP245 SSP126 2090s, respectively. Current without primarily found eastern central Tibet, 2090s. climate change, plant’s habitats, free from damage, predicted be Tibet northwestern Yunnan. findings provide practical guidance F. cultivation, as well monitoring prevention E. baileyi.

Language: Английский

Citations

0

Spatial variability and climate response characteristics of the chemical components in Siraitia grosvenorii (Luo Han Guo) DOI Creative Commons

Fei Dong,

Jingru Song,

Fu ChuanMing

et al.

Industrial Crops and Products, Journal Year: 2025, Volume and Issue: 228, P. 120897 - 120897

Published: March 31, 2025

Language: Английский

Citations

0

Distribution Dynamics of Wide‐Ranged and Narrow‐Ranged Species From the Pliocene to the Future: Insights From Asian Endemic Holcoglossum (Orchidaceae) DOI Creative Commons
Pingsheng Zhang, Peng Zhou,

Yi‐Zhen Liu

et al.

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(4)

Published: April 1, 2025

ABSTRACT Climate change is an important driver of the potential distribution changes plants. However, wide‐ranged and narrow‐ranged species in response to climate were still controversial. An epiphytic orchid genus Holcoglossum a key group address this issue, with about 30% widely distributed Asian mainland, while others are only narrowly special mountains. Combining species' occurrences, environmental variables, Human Footprint data, we analyzed predictor variables predicted distributions centroid shifts four from Pliocene future using maximum entropy (MaxEnt) model. Our results showed that seven (except H. subulifolium ) mainly impacted by precipitation warmest quarter future. From present, contracted. present (SSP2‐4.5, 2090), two ( flavescens , himalaicum would contract, whereas other expand; kimballianum wangii expand. The centroids three migrate southwards amesianum ), have nearly no migration; pumilum quasipinifolium westwards. We found vulnerability might be unlinked their current range phylogenetic relationships. This study provides new insights for conservation species.

Language: Английский

Citations

0

Predicting the Distribution of Neoceratitis asiatica (Diptera: Tephritidae), a Primary Pest of Goji Berry in China, under Climate Change DOI Creative Commons

Zhongkang Song,

Guanghui Fan,

Changrong Deng

et al.

Insects, Journal Year: 2024, Volume and Issue: 15(8), P. 558 - 558

Published: July 23, 2024

Climate warming affects the growth and development of pests, resulting in changes their geographical distribution, which increases difficulty terms prevention control. The fruit fly,

Language: Английский

Citations

3

Climate change favors expansion of three Eucalyptus species in China DOI Creative Commons
Xinjie Mao,

Huisen Zheng,

Guihua Luo

et al.

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

Published: Oct. 11, 2024

Eucalyptus has become one of the most widely planted species in tropical and subtropical regions China, with important economic, ecological, social values. However, it is currently unclear how climate change will affect different species. Therefore, urgent to investigate potential distribution dynamics under current future scenarios. In this study, we analyzed patterns three main ( grandis , urophylla tereticornis ) climatic conditions (2041-2060 2061-2080) using optimized MaxEnt model, which integrates a variety environmental data including climate, topography, soil, human influence. We also identified factors affecting distributions The model indicated that E. exhibited heightened sensitivity mean temperature coldest quarter (7.0-20.0 °C) annual (11.9-24.2 °C), whereas displayed precipitation warmest (272-1694 mm) (812-2624 mm). Conversely, demonstrated (12.7-24.5 seasonality (63.8-598.9). Under had widest suitable area (124.91 × 10 4 km²), followed by (124.89 km²) (119.81 km²). scenarios, ranges continue expand. This study highlights importance provides quantified maps for China. research offers valuable scientific insights pertinent management rational site selection plantations.

Language: Английский

Citations

3

MaxEnt and Marxan modeling to predict the potential habitat and priority planting areas of Coffea arabica in Yunnan, China under climate change scenario DOI Creative Commons
Li Xia,

Zihao Wang,

Xiaobo Wang

et al.

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

Published: Nov. 28, 2024

(Arabica coffee) is an important cash crop in Yunnan, China. Ongoing climate change has made coffee production more difficult to sustain, posing challenges for the region's industry. Predictions of distribution potentially suitable habitats Arabica Yunnan could provide a theoretical basis cultivation and rational management this species.

Language: Английский

Citations

1