Predicting potential suitable habitat of Cistanche deserticola by integrating parasitic constraints and land use data into MaxEnt modeling
IntroductionUnderstanding the impacts of climate change and land use dynamics on parasitic plants is crucial for ecological restoration and sustainable resource management in arid regions. This study proposes a two-dimensional modeling framework that integrates parasitic constraints and land use dyn...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-08-01
|
| Series: | Frontiers in Plant Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2025.1635595/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849249586938380288 |
|---|---|
| author | Gong-Han Tu Xu-Dong Guo Shao-Yang Xi Xiao-Hui Ma Ling Jin |
| author_facet | Gong-Han Tu Xu-Dong Guo Shao-Yang Xi Xiao-Hui Ma Ling Jin |
| author_sort | Gong-Han Tu |
| collection | DOAJ |
| description | IntroductionUnderstanding the impacts of climate change and land use dynamics on parasitic plants is crucial for ecological restoration and sustainable resource management in arid regions. This study proposes a two-dimensional modeling framework that integrates parasitic constraints and land use dynamics to predict the potential suitable habitat of Cistanche deserticola, a medicinal plant obligately parasitic on Haloxylon ammodendron.MethodsUsing an optimized MaxEnt model, host suitability probability was incorporated as a continuous probabilistic constraint, and high-resolution land use data were coupled to enhance ecological realism. The framework was applied to assess habitat suitability under current (1970-2000) and future climate scenarios (2050s, 2070s, 2090s, SSP126, SSP370, SSP585).ResultsThe inclusion of parasitic constraints reduced the suitable habitat area by 4.5% (from 138.20 × 104 km² to 131.92 × 104 km²) and exacerbated habitat fragmentation, particularly in Northwest China. Future projections reveal a decrease in the total suitable habitat area but an increase in the area of highly suitable regions, with the centroid shifting towards the northwest. Land use analysis demonstrated that unused land (70.21%) and grassland (13.81%) constitute the primary habitats, highlighting their significance for sustainable cultivation. Key environmental drivers identified include July precipitation, soil pH, and temperature of the warmest quarter. The model exhibited high predictive accuracy (AUC: 0.947-0.949).DiscussionThe framework provides a reliable tool for assessing host-parasite interactions and land use impacts. These findings offer valuable insights for adaptive management strategies that balance ecological restoration and the sustainability of medicinal resources in arid ecosystems. |
| format | Article |
| id | doaj-art-fe277a3e7ad741b78020144f88e940bc |
| institution | Kabale University |
| issn | 1664-462X |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj-art-fe277a3e7ad741b78020144f88e940bc2025-08-20T03:57:31ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2025-08-011610.3389/fpls.2025.16355951635595Predicting potential suitable habitat of Cistanche deserticola by integrating parasitic constraints and land use data into MaxEnt modelingGong-Han TuXu-Dong GuoShao-Yang XiXiao-Hui MaLing JinIntroductionUnderstanding the impacts of climate change and land use dynamics on parasitic plants is crucial for ecological restoration and sustainable resource management in arid regions. This study proposes a two-dimensional modeling framework that integrates parasitic constraints and land use dynamics to predict the potential suitable habitat of Cistanche deserticola, a medicinal plant obligately parasitic on Haloxylon ammodendron.MethodsUsing an optimized MaxEnt model, host suitability probability was incorporated as a continuous probabilistic constraint, and high-resolution land use data were coupled to enhance ecological realism. The framework was applied to assess habitat suitability under current (1970-2000) and future climate scenarios (2050s, 2070s, 2090s, SSP126, SSP370, SSP585).ResultsThe inclusion of parasitic constraints reduced the suitable habitat area by 4.5% (from 138.20 × 104 km² to 131.92 × 104 km²) and exacerbated habitat fragmentation, particularly in Northwest China. Future projections reveal a decrease in the total suitable habitat area but an increase in the area of highly suitable regions, with the centroid shifting towards the northwest. Land use analysis demonstrated that unused land (70.21%) and grassland (13.81%) constitute the primary habitats, highlighting their significance for sustainable cultivation. Key environmental drivers identified include July precipitation, soil pH, and temperature of the warmest quarter. The model exhibited high predictive accuracy (AUC: 0.947-0.949).DiscussionThe framework provides a reliable tool for assessing host-parasite interactions and land use impacts. These findings offer valuable insights for adaptive management strategies that balance ecological restoration and the sustainability of medicinal resources in arid ecosystems.https://www.frontiersin.org/articles/10.3389/fpls.2025.1635595/fullCistanche deserticolaMaxEntclimate changeparasitic constraint scenarioland use |
| spellingShingle | Gong-Han Tu Xu-Dong Guo Shao-Yang Xi Xiao-Hui Ma Ling Jin Predicting potential suitable habitat of Cistanche deserticola by integrating parasitic constraints and land use data into MaxEnt modeling Frontiers in Plant Science Cistanche deserticola MaxEnt climate change parasitic constraint scenario land use |
| title | Predicting potential suitable habitat of Cistanche deserticola by integrating parasitic constraints and land use data into MaxEnt modeling |
| title_full | Predicting potential suitable habitat of Cistanche deserticola by integrating parasitic constraints and land use data into MaxEnt modeling |
| title_fullStr | Predicting potential suitable habitat of Cistanche deserticola by integrating parasitic constraints and land use data into MaxEnt modeling |
| title_full_unstemmed | Predicting potential suitable habitat of Cistanche deserticola by integrating parasitic constraints and land use data into MaxEnt modeling |
| title_short | Predicting potential suitable habitat of Cistanche deserticola by integrating parasitic constraints and land use data into MaxEnt modeling |
| title_sort | predicting potential suitable habitat of cistanche deserticola by integrating parasitic constraints and land use data into maxent modeling |
| topic | Cistanche deserticola MaxEnt climate change parasitic constraint scenario land use |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2025.1635595/full |
| work_keys_str_mv | AT gonghantu predictingpotentialsuitablehabitatofcistanchedeserticolabyintegratingparasiticconstraintsandlandusedataintomaxentmodeling AT xudongguo predictingpotentialsuitablehabitatofcistanchedeserticolabyintegratingparasiticconstraintsandlandusedataintomaxentmodeling AT shaoyangxi predictingpotentialsuitablehabitatofcistanchedeserticolabyintegratingparasiticconstraintsandlandusedataintomaxentmodeling AT xiaohuima predictingpotentialsuitablehabitatofcistanchedeserticolabyintegratingparasiticconstraintsandlandusedataintomaxentmodeling AT lingjin predictingpotentialsuitablehabitatofcistanchedeserticolabyintegratingparasiticconstraintsandlandusedataintomaxentmodeling |