Oh Daphne, Cresswell Anna K, Thomson Damian P, Renton Michael
School of Biological Sciences The University of Western Australia Crawley Western Australia Australia.
Environment, Commonwealth Scientific and Industrial Research Organisation (CSIRO) Crawley Western Australia Australia.
Ecol Evol. 2025 Aug 29;15(9):e72077. doi: 10.1002/ece3.72077. eCollection 2025 Sep.
Earth's most complex and biodiverse ecosystems are characterised by high habitat complexity. On coral reefs, habitat complexity is influenced by the diverse morphology and composition of hard corals, shaping reef structure and shelter provision for many species. Various metrics are used to quantify reef complexity, yet, it remains unclear how well these metrics capture ecological functions such as shelter provision. We used a published dataset of 13 distinct coral community types generated using a 3D functional-structural model to investigate the redundancy, complementarity and ecological relevance of 11 habitat complexity metrics (seven ecologically meaningful shelter metrics and four more general structural metrics). We were especially interested in the extent to which structural metrics predicted shelter metrics, potentially reducing the need for more complicated and direct shelter measurements. We used Pearson's correlations to compare metrics in (i) one pooled analysis from all community types, and (ii) 13 individual analyses for each community type. In the pooled analysis, structural metrics were strongly correlated, while the shelter metrics formed two distinct groups-'pelagic' and 'benthic.' Within these groups, the metrics were highly correlated indicating redundancy, but between groups, they showed weak correlations indicating complementarity. For individual community types, the redundancy or complementarity of these metrics varied with coral morphology. Structural metrics were useful predictors of shelter metrics for certain community types; for example, surface rugosity was a strong predictor of shelter volume for tabular and digitate coral communities but not for other communities. Fractal dimension was highly complementary to other metrics, but further investigation is needed to identify its ecological relevance. We highlight that there is no universal metric, and it is important to consider a range of suitable habitat complexity metrics and morphological community composition for ecosystems with morphologically distinct biogenic habitat formers.
地球上最复杂、生物多样性最丰富的生态系统具有高栖息地复杂性的特征。在珊瑚礁上,栖息地复杂性受硬珊瑚多样的形态和组成影响,塑造了礁体结构并为许多物种提供了庇护所。各种指标被用于量化珊瑚礁复杂性,然而,这些指标在多大程度上能够体现诸如提供庇护所等生态功能仍不清楚。我们使用一个已发表的数据集,该数据集由13种不同的珊瑚群落类型组成,这些类型是通过三维功能结构模型生成的,目的是研究11种栖息地复杂性指标(7种具有生态意义的庇护所指标和4种更通用的结构指标)的冗余性、互补性及生态相关性。我们尤其感兴趣的是结构指标在多大程度上能够预测庇护所指标,这可能会减少对更复杂和直接的庇护所测量的需求。我们使用皮尔逊相关性来比较指标,(i)在对所有群落类型进行的一项汇总分析中,以及(ii)对每种群落类型进行的13项单独分析中。在汇总分析中,结构指标高度相关,而庇护所指标形成了两个不同的组——“远洋的”和“底栖的”。在这些组内,指标高度相关表明存在冗余,但在组间,它们显示出弱相关性表明具有互补性。对于单个群落类型,这些指标的冗余性或互补性随珊瑚形态而变化。结构指标对于某些群落类型是庇护所指标的有用预测因子;例如,表面粗糙度是平板状和指状珊瑚群落庇护所体积的强预测因子,但对其他群落则不然。分形维数与其他指标具有高度互补性,但需要进一步研究以确定其生态相关性。我们强调不存在通用指标,对于具有形态上不同的生物源栖息地形成者的生态系统,考虑一系列合适的栖息地复杂性指标和形态群落组成很重要。