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首页> 外文期刊>Estuarine Coastal and Shelf Science >Geospatial modelling and map analysis allowed measuring regression of the upper limit of Posidonia oceanica seagrass meadows under human pressure
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Geospatial modelling and map analysis allowed measuring regression of the upper limit of Posidonia oceanica seagrass meadows under human pressure

机译：地理空间建​​模和地图分析允许在人为压力下测量波西多尼亚海洋草海草草甸的上限回归

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摘要

Marine coastal ecosystems are facing structural and functional changes due to the increasing human footprint worldwide, and the assessment of their long-term changes becomes particularly challenging. Measures of change can be done by comparing the observed ecosystem status to a purposely defined reference condition. In this paper, a geospatial modelling approach based on 2D mapping and morphodynamic data was used to predict the natural position of the upper limit (i.e., the landward continuous front) of Posidonia oceanica seagrass meadows settled on soft bottom. This predictive model, formerly developed at the regional spatial scale, was here applied for the first time at the Mediterranean spatial scale in eight coastal areas of Spain, France, Italy, and Greece showing different coastal morphologies and hydrodynamic characteristics, and affected by a number of natural and/or human local disturbances. The model was effective in measuring the regression (i,e.,seaward withdrawal) of the meadow upper limit. In all the meadows investigated the upper limit was regressed, laying deeper than the reference condition, with the proportion of regression ranging from 17.7% to 98.9%. The highest values of regression were found in Spain and in France, and were consistent with the highest levels of fragmentation detected with map analysis and of coastal pressures. This geospatial modelling approach represents an effective tool to define the reference conditions when proper pristine areas or historical data are not available, thus allowing the assessment of long-time changes experienced by seagrass ecosystems due to human impacts.
机译：由于全球人类足迹的增加，海洋沿海生态系统正面临结构和功能的变化，对其长期变化的评估尤其具有挑战性。可以通过将观察到的生态系统状态与故意定义的参考条件进行比较来完成变化的度量。在本文中，基于2D映射和形态动力学数据的地理空间建​​模方法被用来预测软底波塞多尼亚大洋洲海草草甸的上限（即陆上连续前缘）的自然位置。该预测模型以前是在区域空间尺度上开发的，在地中海空间尺度上首次在西班牙，法国，意大利和希腊的八个沿海地区应用了这种预测模型，显示了不同的海岸形态和水动力特征，并且受到了许多因素的影响。自然和/或人为局部干扰。该模型在测量草甸上限的回归（即，向海撤退）方面是有效的。在所有调查过的草甸中，上限被回归，比参考条件更深，回归的比例在17.7％至98.9％之间。回归的最高值在西班牙和法国发现，与通过地图分析和沿海压力测得的最高破碎水平相一致。这种地理空间建​​模方法是一种有效的工具，可以在没有适当的原始区域或历史数据的情况下定义参考条件，从而可以评估海草生态系统由于人类影响而经历的长期变化。

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