Habitat suitability modeling for Posidonia oceanica distribution along a Mediterranean region (NW Italy)

IF 5.4 Q1 ENVIRONMENTAL SCIENCES Environmental and Sustainability Indicators Pub Date : 2025-02-01 DOI:10.1016/j.indic.2025.100587
Rachele Bordoni , Chiara Paoli , Monica Montefalcone , Alice Oprandi , Ilaria Rigo , Francesca Ruggeri , Paolo Vassallo
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Abstract

Posidonia oceanica (L.) Delile is a keystone seagrass species, playing a central role in the ecological balance of Mediterranean coastal areas but threatened by increasing human pressures. Proper management and conservation of coastal marine habitats require the understanding of its distribution. To address this need, we developed habitat suitability models (HSMs), built up using the Random Forest algorithm in R software, that assess the suitability of the environment for the presence of P. oceanica in the Ligurian Sea (NW Italy).
Model response variables included potential seabed areas characterized by P. oceanica habitats on soft and rocky bottoms, down to 50 m depth. Explanatory variables included natural factors as well as variables related to human activities along the coastal strip.
The HSMs showed high accuracy rates of 82% for P. oceanica on soft bottom and 99% for P. oceanica on rocky bottom. The models predict an increase in P. oceanica meadows on soft bottom, from 2448 ha to 11623 ha, and a modest increase on rocky bottom, from 159 ha to 200 ha. The west coast of Liguria was found to have a greater extent of seagrass meadows compared to the east coast.
This study provides valuable guidance for the sustainable management of P. oceanica meadows and offers practical tools for scientific research, land managers, stakeholders, and policy makers. These findings are essential for the conservation of a vital marine ecosystem and for promoting prudent and effective land management, ultimately securing the legacy of P. oceanica in northwestern Italy.
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为地中海地区(意大利西北部)Posidonia oceanica 的分布建立生境适宜性模型
Posidonia oceanica (L.) Delile 是一种关键的海草物种,在地中海沿岸地区的生态平衡中发挥着核心作用,但却受到越来越大的人类压力的威胁。要妥善管理和保护沿海海洋栖息地,就必须了解其分布情况。为了满足这一需求,我们使用 R 软件中的随机森林算法建立了生境适宜性模型(HSMs),以评估利古里亚海(意大利西北部)环境对大洋洲褐藻的适宜性。解释变量包括自然因素以及与沿海地带人类活动有关的变量。HSM 对软质海底大洋 鲨栖息地的预测准确率高达 82%,对岩质海底大洋 鲨栖息地的预测准确率高达 99%。根据模型预测,软质海底的大洋草草甸面积将从 2448 公顷增加到 11623 公顷,岩质海底的大洋草草甸面积将从 159 公顷略微增加到 200 公顷。这项研究为大洋草草甸的可持续管理提供了宝贵的指导,并为科学研究、土地管理者、利益相关者和政策制定者提供了实用工具。这些发现对于保护重要的海洋生态系统、促进谨慎有效的土地管理以及最终确保意大利西北部海草的遗产至关重要。
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来源期刊
Environmental and Sustainability Indicators
Environmental and Sustainability Indicators Environmental Science-Environmental Science (miscellaneous)
CiteScore
7.80
自引率
2.30%
发文量
49
审稿时长
57 days
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