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Modeling vegetation community responses to sea-level rise on Barrier Island systems: A case study on the Cape Canaveral Barrier Island complex Florida USA

机译:在屏障岛系统上模拟植被群落对海平面上升的响应:以美国佛罗里达州卡纳维拉尔角屏障岛综合体为例

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摘要

Society needs information about how vegetation communities in coastal regions will be impacted by hydrologic changes associated with climate change, particularly sea level rise. Due to anthropogenic influences which have significantly decreased natural coastal vegetation communities, it is important for us to understand how remaining natural communities will respond to sea level rise. The Cape Canaveral Barrier Island complex (CCBIC) on the east central coast of Florida is within one of the most biologically diverse estuarine systems in North America and has the largest number of threatened and endangered species on federal property in the contiguous United States. The high level of biodiversity is susceptible to sea level rise. Our objective was to model how vegetation communities along a gradient ranging from hydric to upland xeric on CCBIC will respond to three sea level rise scenarios (0.2 m, 0.4 m, and 1.2 m). We used a probabilistic model of the current relationship between elevation and vegetation community to determine the impact sea level rise would have on these communities. Our model correctly predicted the current proportions of vegetation communities on CCBIC based on elevation. Under all sea level rise scenarios the model predicted decreases in mesic and xeric communities, with the greatest losses occurring in the most xeric communities. Increases in total area of salt marsh were predicted with a 0.2 and 0.4 m rise in sea level. With a 1.2 m rise in sea level approximately half of CCBIC’s land area was predicted to transition to open water. On the remaining land, the proportions of most of the vegetation communities were predicted to remain similar to that of current proportions, but there was a decrease in proportion of the most xeric community (oak scrub) and an increase in the most hydric community (salt marsh). Our approach provides a first approximation of the impacts of sea level rise on terrestrial vegetation communities, including important xeric upland communities, as a foundation for management decisions and future modeling.
机译:社会需要有关与气候变化(尤其是海平面上升)相关的水文变化将如何影响沿海地区植被群落的信息。由于人为影响已大大减少了自然沿海植被群落,因此对我们而言重要的是了解剩余的自然群落将如何应对海平面上升。位于佛罗里达州东部中部海岸的卡纳维拉尔角屏障岛综合体(CCBIC)是北美生物多样性最丰富的河口系统之一,并且在美国本土拥有最多的濒危物种。高生物多样性易受海平面上升的影响。我们的目标是模拟CCBIC上从水力到高地干旱的梯度上的植被群落如何响应三种海平面上升情景(0.2 m,0.4 m和1.2 m)。我们使用了海拔和植被群落之间当前关系的概率模型来确定海平面上升对这些群落的影响。我们的模型基于海拔高度正确预测了CCBIC上当前植被群落的比例。在所有海平面上升的情况下,该模型都预测了中性和干燥性群落的减少,而损失最大的发生在大多数干燥性群落中。预计盐沼总面积将增加,海平面上升0.2和0.4 m。随着海平面上升1.2 m,预计CCBIC大约一半的土地面积将过渡到开放水域。在剩余的土地上,大多数植被群落的比例预计将保持与当前比例相似,但最干旱的群落比例(橡树灌木丛)减少,而最含水的群落比例(盐分)增加。沼泽)。我们的方法提供了海平面上升对陆地植被群落(包括重要的旱地高地群落)的影响的第一近似值,作为管理决策和未来建模的基础。

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