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墨西哥吊床(佩泰内斯)对气候变化导致海平面上升的适应能力评估。

Assessment of Hammocks (Petenes) Resilience to Sea Level Rise Due to Climate Change in Mexico.

作者信息

Hernández-Montilla Mariana C, Martínez-Morales Miguel Angel, Posada Vanegas Gregorio, de Jong Bernardus H J

机构信息

Departamento de Conservación de la Biodiversidad, El Colegio de la Frontera Sur, Campeche, Campeche, México.

Instituto de Ecología, Pesquerías y Oceanografía del Golfo de México, Universidad Autónoma de Campeche, Campeche, Campeche, México.

出版信息

PLoS One. 2016 Sep 9;11(9):e0162637. doi: 10.1371/journal.pone.0162637. eCollection 2016.

DOI:10.1371/journal.pone.0162637
PMID:27611802
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5017580/
Abstract

There is a pressing need to assess resilience of coastal ecosystems against sea level rise. To develop appropriate response strategies against future climate disturbances, it is important to estimate the magnitude of disturbances that these ecosystems can absorb and to better understand their underlying processes. Hammocks (petenes) coastal ecosystems are highly vulnerable to sea level rise linked to climate change; their vulnerability is mainly due to its close relation with the sea through underground drainage in predominantly karstic soils. Hammocks are biologically important because of their high diversity and restricted distribution. This study proposes a strategy to assess resilience of this coastal ecosystem when high-precision data are scarce. Approaches and methods used to derive ecological resilience maps of hammocks are described and assessed. Resilience models were built by incorporating and weighting appropriate indicators of persistence to assess hammocks resilience against flooding due to climate change at "Los Petenes Biosphere Reserve", in the Yucatán Peninsula, Mexico. According to the analysis, 25% of the study area is highly resilient (hot spots), whereas 51% has low resilience (cold spots). The most significant hot spot clusters of resilience were located in areas distant to the coastal zone, with indirect tidal influence, and consisted mostly of hammocks surrounded by basin mangrove and floodplain forest. This study revealed that multi-criteria analysis and the use of GIS for qualitative, semi-quantitative and statistical spatial analyses constitute a powerful tool to develop ecological resilience maps of coastal ecosystems that are highly vulnerable to sea level rise, even when high-precision data are not available. This method can be applied in other sites to help develop resilience analyses and decision-making processes for management and conservation of coastal areas worldwide.

摘要

迫切需要评估沿海生态系统对海平面上升的恢复力。为制定应对未来气候干扰的适当策略,估计这些生态系统能够吸收的干扰程度并更好地了解其潜在过程非常重要。吊床(佩滕斯)沿海生态系统极易受到与气候变化相关的海平面上升的影响;其脆弱性主要源于在以岩溶土壤为主的地区通过地下排水与海洋的密切关系。吊床因其高度的生物多样性和有限的分布而具有重要的生物学意义。本研究提出了一种在高精度数据稀缺时评估该沿海生态系统恢复力的策略。描述并评估了用于绘制吊床生态恢复力地图的方法和手段。通过纳入并权衡适当的持久性指标构建恢复力模型,以评估墨西哥尤卡坦半岛“洛斯佩滕斯生物圈保护区”吊床对气候变化导致的洪水的恢复力。根据分析,研究区域的25%具有高恢复力(热点),而51%的区域恢复力较低(冷点)。恢复力最显著的热点集群位于远离海岸带、受间接潮汐影响的区域,主要由被盆地红树林和洪泛森林环绕的吊床组成。本研究表明,多标准分析以及使用地理信息系统进行定性、半定量和统计空间分析构成了一种强大的工具,可用于绘制极易受到海平面上升影响的沿海生态系统的生态恢复力地图,即使在没有高精度数据的情况下也是如此。该方法可应用于其他地点,以帮助开展恢复力分析以及全球沿海地区管理和保护的决策过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4751/5017580/dca7502e287a/pone.0162637.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4751/5017580/56c51d5077ca/pone.0162637.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4751/5017580/11f2e3bb2b26/pone.0162637.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4751/5017580/e06c9ca76b9f/pone.0162637.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4751/5017580/bb662f6706f9/pone.0162637.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4751/5017580/c9653e6b99ed/pone.0162637.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4751/5017580/dca7502e287a/pone.0162637.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4751/5017580/56c51d5077ca/pone.0162637.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4751/5017580/11f2e3bb2b26/pone.0162637.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4751/5017580/e06c9ca76b9f/pone.0162637.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4751/5017580/bb662f6706f9/pone.0162637.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4751/5017580/c9653e6b99ed/pone.0162637.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4751/5017580/dca7502e287a/pone.0162637.g006.jpg

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