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使用预测模型来识别海洋保护区的海藻避难所,以优先管理管理

Mary A Young¹, Kay Critchell², Michael A Sams³

¹Deakin Marine Research and Innovation Centre, School of Life and Environmental Sciences, Deakin University, Warrnambool Campus, Warrnambool, Victoria, Australia.

Ecological applications : a publication of the Ecological Society of America

|January 20, 2025

概括

海藻森林面临着气候变化威胁. 这项研究确定了澳大利亚维多利亚州Ecklonia radiata和Phyllospora comosa的潜在气候避难所,使用预测绘图指导保护和恢复工作.

科学领域:

海洋生态海洋生态学
气候变化影响气候变化的影响.
保护科学保护科学

背景情况:

海藻森林是温带海洋生态系统中重要的基础物种.
气候变化对海藻森林的持续存在构成重大威胁.
识别气候难民对于有效的海洋生态系统管理至关重要.

研究的目的:

在澳大利亚维多利亚州模拟当前和未来的海藻 (Ecklonia radiata,Phyllospora comosa) 分布.
确定海洋保护区 (MPA) 内的海藻森林的潜在气候避难所.
制定一个管理框架,以优先考虑保护和恢复行动.

主要方法:

使用长期数据集 (1998-2019) 的海藻百分比覆盖.
采用了包含环境变量 (深度,波浪气候,温度等) 的一般化添加混合效应模型. ) 的情况.
开发了当前和未来海藻覆盖面的预测地图 (2090年,RCP 4.5和8.5年) 和分类的避难区.

主要成果:

生成海藻覆盖面的空间预测和随时间变化的空间预测.
确定了两种物种当前稳定性和未来预测变化的区域.
将MPA分类为refugia类别 (不太可能,中立,潜在,可能).

结论:

种类分布模型有效地识别了潜在的海藻森林避难所.
开发的管理框架有助于优先考虑保护行动.
未来可靠的管理策略对于树林的弹性至关重要.

关键词:

气候变化气候变化气候变化树林中的树林.管理框架管理框架的管理.海洋保护区海洋保护区流离失所的难民是什么意思

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