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基于Sentinel-1/2和MaxEnt模型的中国暖温带滨海区互花米草潜在分布预测

Prediction of potential distribution of Spartina alterniflora in warm temperate coastal areas of China based on Sentinel-1/2 and MaxEnt model

  • 摘要: 互花米草(Spartina alterniflora)作为外来物种已在中国沿海地区广泛入侵,严重威胁滨海地区生态安全。暖温带滨海区作为中国重要的经济、政治、文化中心区域,其生态系统稳定性的维持尤为重要。基于Sentinel-1/2遥感影像和GEE云平台获取了2023年中国暖温带滨海区互花米草分布点,并结合35种环境变量,运用MaxEnt模型,预测研究区互花米草的潜在分布状况。研究结果表明,中国暖温带互花米草潜在分布的高适生区、中适生区、低适生区和非适生区面积分别占研究区面积的5.59%、33.67%、8.03%和52.71%。影响暖温带互花米草生长的主要环境变量为年平均气温(bio1)、高程(dem)、土壤类型(soiltype)和最湿月降水量(bio13)。暖温带互花米草生长潜在的最适区域为年平均气温在11.0~21.5 ℃之间、地势较低的滨海滩涂地区,土壤为滨海盐土,最湿季降水量在180~190 mm、230~250 mm之间。互花米草在中国暖温带滨海地区有较大的潜在分布面积,且有进一步向北扩散的趋势,对暖温带滨海湿地生态系统稳定性造成严重威胁,应当加强对于互花米草入侵的防控力度,并根据实际情况评估互花米草的除治程度。

     

    Abstract: As an invasive species, Spartina alterniflora has widely spread along China's coastal areas, posing a severe threat to coastal ecological security. Due to its rapid expansion and strong adaptability to intertidal zones, it has become one of the most aggressive invasive plant species in China’s coastal ecosystems. The warm-temperate coastal region, as an essential economic, political, and cultural zone in China, plays a crucial role in national development. Maintaining the ecological stability of this region is therefore of great significance. Understanding the current distribution and potential spread of Spartina alterniflora is essential for implementing effective control strategies. This study utilized Sentinel-1/2 remote sensing images and the Google Earth Engine (GEE) platform to obtain the distribution points of Spartina alterniflora in the warm-temperate coastal region of China in 2023. Based on these data, along with 35 environmental variables, the MaxEnt model was employed to predict the potential distribution of Spartina alterniflora in the study area. The model achieved high classification accuracy, with an overall accuracy of 90.1% and a Kappa coefficient of 0.885. The results revealed that the total distribution area of Spartina alterniflora in the warm-temperate coastal zone of China in 2023 was approximately 74.83 km². Among the provinces, Shandong province exhibited the most extensive distribution, covering about 62 km². Jiangsu province and Hebei province followed with distribution areas of approximately 6.86 km² and 4.25 km², respectively, while Tianjin had the smallest distribution area at approximately 1.72 km². The suitability analysis categorized the study area into four zones: highly suitable (5.59%), moderately suitable (33.67%), lowly suitable (8.03%), and unsuitable (52.71%). The suitable regions were mainly concentrated in the southern part of Hebei Province, Tianjin, Shandong Province, Jiangsu Province, and the coastal mudflat regions of Dalian and Dandong in Liaoning Province. The key environmental variables influencing Spartina alterniflora growth were mean annual temperature (bio1), elevation (dem), soil type (soiltype), and precipitation in the wettest month (bio13). The optimal conditions for Spartina alterniflora growth in the warm-temperate coastal region include a mean annual temperature between 11.0 and 21.5 °C, low-lying coastal mudflat areas, coastal saline soil, and wettest-season precipitation ranging from 180-190 mm and 230-250 mm. The results indicate that Spartina alterniflora has a vast potential distribution area in the warm-temperate coastal region of China, with a notable trend of northward expansion. This continued spread poses a significant ecological threat by altering native wetland ecosystems, reducing biodiversity, and disrupting coastal hydrodynamics. If left unmanaged, the invasion of Spartina alterniflora could lead to severe degradation of wetland habitats and loss of ecosystem services. Therefore, it is critical to strengthen monitoring, prevention, and control measures to mitigate the invasion of Spartina alterniflora. Additionally, further research should focus on evaluating the effectiveness of different eradication strategies and assessing the long-term ecological impacts of its spread.

     

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