Predicting Potentially Suitable Habitats and Analyzing the Distribution Patterns of the Rare and Endangered Genus <i>Syndiclis</i> Hook. f. (Lauraceae) in China

Changes in habitat suitability are critical indicators of the ecological impacts of climate change. <i>Syndiclis</i> Hook. f., a rare and endangered genus endemic to montane limestone and cloud forest ecosystems in China, holds considerable ecological and economic value. However, knowled...

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التفاصيل البيبلوغرافية
الحاوية / القاعدة:Plants
المؤلفون الرئيسيون: Lang Huang, Weihao Yao, Xu Xiao, Yang Zhang, Rui Chen, Yanbing Yang, Zhi Li
التنسيق: مقال
اللغة:الإنجليزية
منشور في: MDPI AG 2025-07-01
الموضوعات:
الوصول للمادة أونلاين:https://www.mdpi.com/2223-7747/14/15/2268
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author Lang Huang
Weihao Yao
Xu Xiao
Yang Zhang
Rui Chen
Yanbing Yang
Zhi Li
author_facet Lang Huang
Weihao Yao
Xu Xiao
Yang Zhang
Rui Chen
Yanbing Yang
Zhi Li
author_sort Lang Huang
collection DOAJ
container_title Plants
description Changes in habitat suitability are critical indicators of the ecological impacts of climate change. <i>Syndiclis</i> Hook. f., a rare and endangered genus endemic to montane limestone and cloud forest ecosystems in China, holds considerable ecological and economic value. However, knowledge of its current distribution and the key environmental factors influencing its habitat suitability remains limited. In this study, we employed the MaxEnt model, integrated with geographic information systems (ArcGIS), to predict the potential distribution of <i>Syndiclis</i> under current and future climate scenarios, identify dominant bioclimatic drivers, and assess temporal and spatial shifts in habitat patterns. We also analyzed spatial displacement of habitat centroids to explore potential migration pathways. The model demonstrated excellent performance (AUC = 0.988), with current suitable habitats primarily located in Hainan, Taiwan, Southeastern Yunnan, and along the Yunnan–Guangxi border. Temperature seasonality (bio7) emerged as the most important predictor (67.00%), followed by precipitation of the driest quarter (bio17, 14.90%), while soil factors played a relatively minor role. Under future climate projections, Hainan and Taiwan are expected to serve as stable climatic refugia, whereas the overall suitable habitat area is projected to decline significantly. Combined with topographic constraints, population decline, and limited dispersal ability, these changes elevate the risk of extinction for <i>Syndiclis</i> in the wild. Landscape pattern analysis revealed increased habitat fragmentation under warming conditions, with only 4.08% of suitable areas currently under effective protection. We recommend prioritizing conservation efforts in regions with habitat contraction (e.g., Guangxi and Yunnan) and stable refugia (e.g., Hainan and Taiwan). Conservation strategies should integrate targeted in situ and ex situ actions, guided by dominant environmental variables and projected migration routes, to ensure the long-term persistence of <i>Syndiclis</i> populations and support evidence-based conservation planning.
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spelling doaj-art-4cdcf501c7d64adeb0ed12ee9e8bf4802025-08-20T03:36:22ZengMDPI AGPlants2223-77472025-07-011415226810.3390/plants14152268Predicting Potentially Suitable Habitats and Analyzing the Distribution Patterns of the Rare and Endangered Genus <i>Syndiclis</i> Hook. f. (Lauraceae) in ChinaLang Huang0Weihao Yao1Xu Xiao2Yang Zhang3Rui Chen4Yanbing Yang5Zhi Li6Guizhou Academy of Forestry, Guiyang 550005, ChinaGuizhou Academy of Forestry, Guiyang 550005, ChinaCollege of Forestry, Guizhou University, Guiyang 550005, ChinaGuiyang Wildlife and Plant Protection Station, Guiyang 550002, ChinaGuizhou Academy of Forestry, Guiyang 550005, ChinaGuizhou Academy of Forestry, Guiyang 550005, ChinaCollege of Forestry, Guizhou University, Guiyang 550005, ChinaChanges in habitat suitability are critical indicators of the ecological impacts of climate change. <i>Syndiclis</i> Hook. f., a rare and endangered genus endemic to montane limestone and cloud forest ecosystems in China, holds considerable ecological and economic value. However, knowledge of its current distribution and the key environmental factors influencing its habitat suitability remains limited. In this study, we employed the MaxEnt model, integrated with geographic information systems (ArcGIS), to predict the potential distribution of <i>Syndiclis</i> under current and future climate scenarios, identify dominant bioclimatic drivers, and assess temporal and spatial shifts in habitat patterns. We also analyzed spatial displacement of habitat centroids to explore potential migration pathways. The model demonstrated excellent performance (AUC = 0.988), with current suitable habitats primarily located in Hainan, Taiwan, Southeastern Yunnan, and along the Yunnan–Guangxi border. Temperature seasonality (bio7) emerged as the most important predictor (67.00%), followed by precipitation of the driest quarter (bio17, 14.90%), while soil factors played a relatively minor role. Under future climate projections, Hainan and Taiwan are expected to serve as stable climatic refugia, whereas the overall suitable habitat area is projected to decline significantly. Combined with topographic constraints, population decline, and limited dispersal ability, these changes elevate the risk of extinction for <i>Syndiclis</i> in the wild. Landscape pattern analysis revealed increased habitat fragmentation under warming conditions, with only 4.08% of suitable areas currently under effective protection. We recommend prioritizing conservation efforts in regions with habitat contraction (e.g., Guangxi and Yunnan) and stable refugia (e.g., Hainan and Taiwan). Conservation strategies should integrate targeted in situ and ex situ actions, guided by dominant environmental variables and projected migration routes, to ensure the long-term persistence of <i>Syndiclis</i> populations and support evidence-based conservation planning.https://www.mdpi.com/2223-7747/14/15/2268MaxEnt model<i>Syndiclis</i>habitat suitabilitydistribution pattern
spellingShingle Lang Huang
Weihao Yao
Xu Xiao
Yang Zhang
Rui Chen
Yanbing Yang
Zhi Li
Predicting Potentially Suitable Habitats and Analyzing the Distribution Patterns of the Rare and Endangered Genus <i>Syndiclis</i> Hook. f. (Lauraceae) in China
MaxEnt model
<i>Syndiclis</i>
habitat suitability
distribution pattern
title Predicting Potentially Suitable Habitats and Analyzing the Distribution Patterns of the Rare and Endangered Genus <i>Syndiclis</i> Hook. f. (Lauraceae) in China
title_full Predicting Potentially Suitable Habitats and Analyzing the Distribution Patterns of the Rare and Endangered Genus <i>Syndiclis</i> Hook. f. (Lauraceae) in China
title_fullStr Predicting Potentially Suitable Habitats and Analyzing the Distribution Patterns of the Rare and Endangered Genus <i>Syndiclis</i> Hook. f. (Lauraceae) in China
title_full_unstemmed Predicting Potentially Suitable Habitats and Analyzing the Distribution Patterns of the Rare and Endangered Genus <i>Syndiclis</i> Hook. f. (Lauraceae) in China
title_short Predicting Potentially Suitable Habitats and Analyzing the Distribution Patterns of the Rare and Endangered Genus <i>Syndiclis</i> Hook. f. (Lauraceae) in China
title_sort predicting potentially suitable habitats and analyzing the distribution patterns of the rare and endangered genus i syndiclis i hook f lauraceae in china
topic MaxEnt model
<i>Syndiclis</i>
habitat suitability
distribution pattern
url https://www.mdpi.com/2223-7747/14/15/2268
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