盐地碱蓬适宜生境分布及其干扰动态

Distribution and disturbance dynamics of habitats suitable for Suaeda salsa

来源:中文会议(科协)
中文摘要英文摘要

盐地碱蓬(Suaeda salsa)是滨海湿地由陆向海的最后一道生物屏障,是实现湿地岸线稳固和土壤改良效果最佳的近自然修复方案之一,其生境质量决定了湿地生态修复的潜在范围。通过对群落生境适宜性及其干扰状态进行评估,可有效判定碱蓬生态修复适宜区域,并根据干扰因素有针对性性的提出解决方案,极大提高碱蓬修复成活率和覆盖面积,减少不必要的投入和损失,增强抵御滨海湿地岸线侵蚀退化的能力,维持滨海湿地生态系统的稳定性和完整性。本研究基于辽河口湿地 180个样点测定数据认识盐地碱蓬分布的生境适宜性特征,应用MaxEnt模型(生境适宜性模型)分析盐地碱蓬群落适宜分布区,使用Landsat遥感影像提取过去 30 年间辽河口湿地盐地碱蓬及围垦活动的年际变化,分析盐地碱蓬分布与围垦养殖的时空动态关系。研究结果表明:1)影响盐地碱蓬群落分布的主导因子是水盐度、土壤重金属Cd含量和Zn含量,其影响权重分别为 49.1%、28.9%和 18.0%,合计 96%。2)与辽河口湿地现存的 596hm2盐地碱蓬植被群落的分布相对照,还有12306hm2 的高适宜性区域和 12100hm2 的中适宜性区域是盐地碱蓬群落的理论生存区域。3)围垦养殖用地面积占高适宜性区域的 33.31%,围垦养殖是造成盐地碱蓬原位环境被侵占和群落破碎化加剧的主要原因。研究结果揭示了滨海围垦与生态环境保护的强烈冲突,提示滨海湿地保护应从引导当地居民改变产业模式策略着手,通过降低围垦产业比重,实现碱蓬群落的修复、重建和可持续管理。本研究为滨海湿地的保护和生态恢复采取基于自然的方案提供了参考。

Suaeda salsa,as the last biological barrier of coastal wetlands from land to sea,is one of the best nature-based restoration solution for shoreline stabilization and soil improvement in coastal wetlands.The quality of habitat determines the potential scope of wetland ecological restoration.To enlarge the Suaeda salsa area and to prevent the erosion and degradation of coastal wetland shorelines,we assessed the suitability of habitats for Suaeda salsa growth and identified the causes of encroachment into areas suitable for Suaeda salsa growth.Assessing the habitat suitability of the community and Its disturbance status can not only effectively determine the suitable areas for Suaeda salsa ecological restoration,but also can propose targeted solutions according to the interference factors.Moreover,this way can greatly improve the survival rate and coverage area of Suaeda salsa restoration,reduce unnecessary input and loss,enhance the ability to resist coastal wetland shoreline erosion and degradation,and maintain the stability and integrity of the coastal wetland ecosystem.In this study,based on the data of 180 sampling points in the Liaohe estuary wetland,habitat suitability was identified,and the MaxEnt model(habitat suitability model)was used to analyze the suitable distribution area.The interannual changes in Suaeda salsa and reclamation activities in the Liaohe estuary wetland during the past 30 years were extracted from Landsat remote sensing images,and the temporal and spatial dynamic relationship between the distribution of Suaeda salsa and reclamation was analyzed.The dominant factors affecting the distribution of Suaeda salsa were water salinity as well as soil Cd and Zn levels,with influence weights of 49.1%,28.9%,and 18.0%,respectively,and a total weight of 96%.Compared with the existing 596 hm2 of Suaeda salsa vegetation in the Liaohe estuary wetland,the area highly suitable for growth was 12,306 hm2,whereas the area with medium suitability was 12,100 hm2.Reclamation and aquaculture areas accounted for 33.31%of the highly suitable area and were the main reasons for habitat fragmentation.The study explained the reasons for the difficulty of ecological restoration of Suaeda salsa due to unsuitable habitat quality,and revealed a strong conflict between coastal reclamation and environmental protection,suggesting that the protection of coastal wetlands should consider changes in industrial model strategy.The restoration,reconstruction,and sustainable management of Suaeda salsa communities can be achieved by reducing the proportion of reclamation areas.This study improves the ecological restoration theory of degraded wetlands and provides a theoretical basis for coastal wetland protection and nature-based restoration programs.

曹晨晨;苏芳莉;宋飞;闫慧敏;庞庆庄;

沈阳农业大学水利学院 辽宁 沈阳 110866##中国科学院地理科学与资源研究所 北京 100101;沈阳农业大学水利学院 辽宁 沈阳 110866##辽宁盘锦湿地生态系统国家野外科学观测研究站 辽宁 沈阳 11086 6##辽宁双台河口湿地生态系统国家定位观测研究站 辽宁 盘锦 124112##辽宁省水土流失与生态修复重点实验室 辽宁 沈阳 110866;沈阳农业大学水利学院 辽宁 沈阳 110866##辽宁盘锦湿地生态系统国家野外科学观测研究站 辽宁 沈阳 11086 6##辽宁双台河口湿地生态系统国家定位观测研究站 辽宁 盘锦 124112##辽宁省水土流失与生态修复重点实验室 辽宁 沈阳 110866;中国科学院地理科学与资源研究所 北京 100101;海南省水利水电勘测设计研究院 海口 57010 0;

第十五届中国林业青年学术年会

盐地碱蓬群落 围垦养殖 滨海湿地 生境适宜性评价 Maxent模型

Suaeda salsa reclamation and aquaculture coastal wetland habitat suitability assessment MaxEnt model

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