Tracking shifts in forest structural complexity through space and time in human-modified tropical landscapes

IF 5.4 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION
Ecography Pub Date : 2024-07-16 DOI:10.1111/ecog.07377
Alice Rosen, Fabian Jörg Fischer, David A. Coomes, Toby D. Jackson, Gregory P. Asner, Tommaso Jucker
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引用次数: 0

Abstract

Habitat structural complexity is an emergent property of ecosystems that directly shapes their biodiversity, functioning and resilience to disturbance. Yet despite its importance, we continue to lack consensus on how best to define structural complexity, nor do we have a generalised approach to measure habitat complexity across ecosystems. To bridge this gap, here we adapt a geometric framework developed to quantify the surface complexity of coral reefs and apply it to the canopies of tropical rainforests. Using high-resolution, repeat-acquisition airborne laser scanning data collected over 450 km2 of human-modified tropical landscapes in Borneo, we generated 3D canopy height models of forests at varying stages of recovery from logging. We then tested whether the geometric framework of habitat complexity – which characterises 3D surfaces according to their height range, rugosity and fractal dimension – was able to detect how both human and natural disturbances drive variation in canopy structure through space and time across these landscapes. We found that together, these three metrics of surface complexity captured major differences in canopy 3D structure between highly degraded, selectively logged and old-growth forests. Moreover, the three metrics were able to track distinct temporal patterns of structural recovery following logging and wind disturbance. However, in the process we also uncovered several important conceptual and methodological limitations with the geometric framework of habitat complexity. We found that fractal dimension was highly sensitive to small variations in data inputs and was ecologically counteractive (e.g. higher fractal dimension in oil palm plantations than old-growth forests), while rugosity and height range were tightly correlated (r = 0.75) due to their strong dependency on maximum tree height. Our results suggest that forest structural complexity cannot be summarised using these three descriptors alone, as they overlook key features of canopy vertical and horizontal structure that arise from the way trees fill 3D space.

Keywords: Forest disturbance, LiDAR, logging, recovery, remote sensing, structural complexity

Abstract Image

跟踪人类改造的热带景观中森林结构复杂性在空间和时间上的变化
栖息地结构复杂性是生态系统的一种新兴属性,它直接决定了生态系统的生物多样性、功能和抗干扰能力。然而,尽管结构复杂性非常重要,但我们仍未就如何最好地定义结构复杂性达成共识,也没有一种通用的方法来衡量不同生态系统的生境复杂性。为了弥补这一差距,我们在此采用了一个为量化珊瑚礁表面复杂性而开发的几何框架,并将其应用于热带雨林的树冠。利用在婆罗洲 450 平方公里人为改造的热带景观上采集的高分辨率、重复采集机载激光扫描数据,我们生成了处于不同伐木恢复阶段的森林的三维树冠高度模型。然后,我们测试了栖息地复杂性的几何框架(根据高度范围、崎岖度和分形维度来描述三维表面的特征)是否能够检测出人类和自然干扰是如何在这些景观中通过空间和时间驱动树冠结构变化的。我们发现,这三种表面复杂性指标共同捕捉到了高度退化森林、选择性采伐森林和原始森林之间树冠三维结构的主要差异。此外,这三个指标还能追踪伐木和风灾后结构恢复的不同时间模式。不过,在这一过程中,我们也发现了栖息地复杂性几何框架在概念和方法上的一些重要局限。我们发现,分形维度对数据输入的微小变化非常敏感,而且在生态学上具有反作用(例如,油棕种植园的分形维度高于原始森林),而崎岖度和高度范围由于与最大树高密切相关(r = 0.75)。我们的研究结果表明,森林结构的复杂性不能仅用这三个描述指标来概括,因为它们忽略了树冠垂直和水平结构的关键特征,而这些特征来自于树木填充三维空间的方式:森林干扰、激光雷达、采伐、恢复、遥感、结构复杂性
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来源期刊
Ecography
Ecography 环境科学-生态学
CiteScore
11.60
自引率
3.40%
发文量
122
审稿时长
8-16 weeks
期刊介绍: ECOGRAPHY publishes exciting, novel, and important articles that significantly advance understanding of ecological or biodiversity patterns in space or time. Papers focusing on conservation or restoration are welcomed, provided they are anchored in ecological theory and convey a general message that goes beyond a single case study. We encourage papers that seek advancing the field through the development and testing of theory or methodology, or by proposing new tools for analysis or interpretation of ecological phenomena. Manuscripts are expected to address general principles in ecology, though they may do so using a specific model system if they adequately frame the problem relative to a generalized ecological question or problem. Purely descriptive papers are considered only if breaking new ground and/or describing patterns seldom explored. Studies focused on a single species or single location are generally discouraged unless they make a significant contribution to advancing general theory or understanding of biodiversity patterns and processes. Manuscripts merely confirming or marginally extending results of previous work are unlikely to be considered in Ecography. Papers are judged by virtue of their originality, appeal to general interest, and their contribution to new developments in studies of spatial and temporal ecological patterns. There are no biases with regard to taxon, biome, or biogeographical area.
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