...
首页> 外文期刊>Scientific reports. >Responses of eastern Chinese coastal salt marshes to sea-level rise combined with vegetative and sedimentary processes
【24h】

Responses of eastern Chinese coastal salt marshes to sea-level rise combined with vegetative and sedimentary processes

机译:中国东部沿海盐沼于海拔地区的回应与植物和沉积过程相结合

获取原文
   

获取外文期刊封面封底 >>

       

摘要

The impacts of sea-level rise (SLR) on coastal ecosystems have attracted worldwide attention in relation to global change. In this study, the salt marsh model for the Yangtze Estuary (SMM-YE, developed in China) and the Sea Level Affecting Marshes Model (SLAMM, developed in the U.S.) were used to simulate the effects of SLR on the coastal salt marshes in eastern China. The changes in the dominant species in the plant community were also considered. Predictions based on the SLAMM indicated a trend of habitat degradation up to 2100; total salt marsh habitat area continued to decline (4-16%) based on the low-level scenario, with greater losses (6-25%) predicted under the high-level scenario. The SMM-YE showed that the salt marshes could be resilient to threats of SLR through the processes of accretion of mudflats, vegetation expansion and sediment trapping by plants. This model predicted that salt marsh areas increased (3-6%) under the low-level scenario. The decrease in the total habitat area with the SMM-YE under the high-level scenario was much lower than the SLAMM prediction. Nevertheless, SLR might negatively affect the salt marsh species that are not adapted to prolonged inundation. An adaptive strategy for responding to changes in sediment resources is necessary in the Yangtze Estuary.
机译:海平面上升(SLR)对沿海生态系统的影响引起了全球对全球变革的关注。在这项研究中,用于长江河口的盐沼型号(在中国开发的SMM-YE)和影响沼泽模型的海平面(在美国开发的SLAMM)用于模拟SLR对沿海盐沼的影响中国东部。还考虑了植物群落中主要物种的变化。基于恐怖的预测表明栖息地降解的趋势高达2100;基于低级情景,总盐沼栖息地区持续下降(4-16%),在高层情景下预测了更大的损失(6-25%)。 SMM-YE表明,盐沼是通过牡蛎,植被膨胀和植物诱捕的过程的过程来适应单反的威胁。该模型预测,低级情景下的盐沼地区增加(3-6%)。在高级场景下与SMM-YE的总栖息地区域的减少远低于撞击性。尽管如此,SLR可能会对不适应延长淹没的盐沼地物种产生负面影响。长江河口有必要对沉积物资源变动进行响应的自适应策略。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号