Mapping and Assessing the Supply and Demand of Rural Recreation Services in National Parks: A Case Study of Qianjiangyuan, Zhejiang, China DOI Creative Commons
Xiaohong Chen, Chengzhao Wu

Land, Год журнала: 2025, Номер 14(2), С. 302 - 302

Опубликована: Фев. 1, 2025

National parks not only protect natural resources but also provide a variety of cultural ecosystem services, with their rural areas serving as important locations for providing recreation services (RRS). Spatial quantification RRS supply and demand will contribute to ensuring the protection promotion human well-being in national parks. In this study, we proposed an integrated framework map assess spatial distribution Changhong Township, located within Qianjiangyuan Park. We used combination analysis MaxEnt model tools, which played positive role saving time when modeling services. Based on findings, study area was divided into different zones propose planning measures. The results showed that (1) robust mapping supply. had high heterogeneity. (2) proportion where exceeded 72.58%, primarily distributed level naturalness at periphery area. (3) This Township four types zones: developed service area, potential marginal suggestions scientific utilization management each zone. Overall, our findings basis spaces parks, promoting comprehensive

Язык: Английский

Seasonal differences in the spatial patterns of wildfire drivers and susceptibility in the southwest mountains of China DOI
Wang Wen-quan,

Fengjun Zhao,

Yanxia Wang

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 869, С. 161782 - 161782

Опубликована: Янв. 23, 2023

Язык: Английский

Процитировано

35
Ecological Niche Models using MaxEnt in Google Earth Engine: Evaluation, guidelines and recommendations DOI
João C. Campos, Nuno Garcia, João Alírio

и другие.

Ecological Informatics, Год журнала: 2023, Номер 76, С. 102147 - 102147

Опубликована: Май 29, 2023

Язык: Английский

Процитировано

26
Evaluating the match between natural ecosystem service supply and cultural ecosystem service demand: Perspectives on spatiotemporal heterogeneity DOI
Chang You,

Hongjiao Qu,

Chen‐Chieh Feng

и другие.

Environmental Impact Assessment Review, Год журнала: 2024, Номер 108, С. 107592 - 107592

Опубликована: Июль 4, 2024

Язык: Английский

Процитировано

10
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
Spatial assessment of utility-scale solar photovoltaic siting potential using machine learning approaches: A case study in Aichi prefecture, Japan DOI Creative Commons
Linwei Tao,

Kiichiro Hayashi,

Sangay Gyeltshen

и другие.

Applied Energy, Год журнала: 2025, Номер 383, С. 125329 - 125329

Опубликована: Янв. 16, 2025

Язык: Английский

Процитировано

1
Understanding sustainability of woody species suitability zones on the Loess Plateau for optimal creation zone selection in response to future climate change DOI

Haihong Qiu,

Hairong Han, Xiaoqin Cheng

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 375, С. 124239 - 124239

Опубликована: Янв. 29, 2025

Язык: Английский

Процитировано

1
Prediction of Potential Suitable Distribution Areas of Quasipaa spinosa in China Based on MaxEnt Optimization Model DOI Creative Commons

Jinliang Hou,

Jianguo Xiang,

Deliang Li

и другие.

Biology, Год журнала: 2023, Номер 12(3), С. 366 - 366

Опубликована: Фев. 25, 2023

Quasipaa spinosa is a large cold-water frog unique to China, with great ecological and economic value. In recent years, due the impact of human activities on climate, its habitat has been destroyed, resulting in sharp decline natural population resources. Based existing distribution records Q. spinosa, this study uses optimized MaxEnt model ArcGis 10.2 software screen out 10 factors such as climate altitude predict future potential area because change. The results show that when parameters are FC = LQHP RM 3, optimal AUC values greater than 0.95. precipitation driest month (bio14), temperature seasonality (bio4), elevation (ele), isothermality (bio3), minimum coldest (bio6) were main environmental affecting range spinosa. At present, high-suitability areas mainly Hunan, Fujian, Jiangxi, Chongqing, Guizhou, Anhui, Sichuan provinces China. future, may gradually extend northwest north. low-concentration emissions scenario can increase suitable for slow down reduction amount certain extent. conclusion, distributed southern Because global change, high-altitude mountainous China abundant water resources be Predicting changes patterns better help us understand biogeography develop conservation strategies minimize impacts

Язык: Английский

Процитировано

21
Analysis of the distribution pattern of the ectomycorrhizal fungus Cenococcum geophilum under climate change using the optimized MaxEnt model DOI Creative Commons

Yexu Zheng,

Chao Yuan, Norihisa Matsushita

и другие.

Ecology and Evolution, Год журнала: 2023, Номер 13(9)

Опубликована: Сен. 1, 2023

(

Процитировано

18
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

и другие.

Forests, Год журнала: 2024, Номер 15(6), С. 988 - 988

Опубликована: Июнь 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.

Язык: Английский

Процитировано

7
Predicting the Potential Geographic Distribution of Invasive Freshwater Apple Snail Pomacea canaliculate (Lamarck, 1819) under Climate Change Based on Biomod2 DOI Creative Commons
Tao Wang,

Tingjia Zhang,

Weibin An

и другие.

Agronomy, Год журнала: 2024, Номер 14(4), С. 650 - 650

Опубликована: Март 23, 2024

Pomacea canaliculata is widely distributed in the Chinese provinces south of Yangtze River, causing serious damage to aquatic ecosystems, rice cultivation, and human health. Predicting potential geographic distributions (PGDs) P. under current future climate conditions China crucial for developing effective early warning measures facilitating long-term monitoring. In this study, we screened various species distribution models (SDMs), including CTA, GBM, GAM, RF, XGBOOST, construct an ensemble model (EM) then predict suitable habitats scenarios (SSP1-26, SSP2-45, SSP3-70, SSP5-85). The EM (AUC = 0.99, TSS 0.96) yielded predictions that were more precise than those from individual models. Annual Mean Temperature (Bio1) Precipitation Warmest Quarter (Bio18) are most significant environmental variables affecting PGDs canaliculata. Under conditions, highly primarily located collectively accounting 17.66% nation’s total area. Unsuitable predominate higher-latitude regions, covering 66.79% China’s land scenarios, number projected expand into higher latitude especially SSP3-70 SSP5-85 conditions. 4.1 °C contour Bio1 366 mm Bio18 determine northernmost geographical Climate change likely increase risk expanding latitudes.

Язык: Английский

Процитировано

6