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当探索海底多功能性的大规模变化时,使用生物特征分组的模板。

Template for using biological trait groupings when exploring large-scale variation in seafloor multifunctionality.

机构信息

Tvärminne Zoological Station, University of Helsinki, J.A. Palménin tie 260, FI-10900, Hanko, Finland.

Marine Ecology Department Hamilton, National Institute of Water and Atmospheric Research, Hamilton, 3251, New Zealand.

出版信息

Ecol Appl. 2018 Jan;28(1):78-94. doi: 10.1002/eap.1630. Epub 2017 Dec 6.

Abstract

Understanding large-scale spatial variation in ecosystem properties and associated functionality is key for successful conservation of ecosystems. This study provides a template for how to estimate differences in ecosystem functionality over large spatial scales by using groupings of biological traits. We focus on trait groupings that describe three important benthic ecosystem properties, namely bioturbation, community stability, and juvenile dispersal. Recognizing that groups of traits interact and are constrained within an organism, we statistically define important functional trait subgroups that describe each ecosystem property. The sub-groups are scored according to their weighted ecological impact to gain an overall estimation of the cumulative expression of each ecosystem property at individual sites. Furthermore, by assigning each property a value relative to its observed maximum, and by summing up the individual property values, we offer an estimate of benthic ecosystem multifunctionality. Based on a spatially extensive benthic data set, we were able to identify coastal areas with high and low potential for the considered benthic ecosystem properties and the measure of ecosystem multifunctionality. Importantly, we show that a large part of the spatial variation in functional trait sub-groups and in benthic ecosystem multifunctionality was explained by environmental change. Our results indicate that through this simplification it is possible to estimate the functionality of the seafloor. Such information is vital in marine spatial planning efforts striving to balance the utilization with the preservation of natural resources.

摘要

了解生态系统属性和相关功能的大规模空间变化对于成功保护生态系统至关重要。本研究提供了一个模板,说明如何通过生物特征分组来估计大空间尺度上的生态系统功能差异。我们专注于描述三个重要的底栖生态系统属性的特征分组,即生物扰动、群落稳定性和幼体扩散。我们认识到特征分组相互作用并在生物体内部受到限制,因此我们通过统计学方法定义了描述每个生态系统属性的重要功能特征子组。根据其加权生态影响对亚组进行评分,以获得每个站点每个生态系统属性的综合表达的总体估计。此外,通过为每个属性分配相对于其观测最大值的数值,并将单个属性值相加,我们提供了底栖生态系统多功能性的估计。基于广泛的空间底栖数据集,我们能够识别具有高和低考虑的底栖生态系统属性和生态系统多功能性潜力的沿海地区。重要的是,我们表明,功能特征亚组和底栖生态系统多功能性的大部分空间变化都可以用环境变化来解释。我们的研究结果表明,通过这种简化,可以估计海底的功能。这种信息在海洋空间规划工作中至关重要,这些工作努力在利用自然资源和保护自然资源之间取得平衡。

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