Planktonic functional diversity changes in synchrony with lake ecosystem state.

Planktonic functional diversity changes in synchrony with lake ecosystem state.
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DOI:
10.1111/gcb.16485
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发表时间:
2023-02
影响因子:
11.6
通讯作者:
--
中科院分区:
环境科学与生态学1区
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管理生态系统以有效地保持功能和服务需要可靠的工具,这些工具可以推断出系统稳定性和动态的变化。从概念上讲,功能多样性(FD)是一种敏感而可行的监测指标,因为FD是生物多样性的普遍重要衡量标准,对生态过程具有机制影响。然而,目前尚不清楚FD的变化是否总是发生在状态反应之前,反之亦然,目前还没有关于FD和状态之间的时间关系的研究来支持向基于特征的指标的过渡。因此,对于相对于生物多样性变化的功能变化以及FD变化在该序列中的位置,存在知识空白。因此,我们使用相关性和前沿非线性经验动态建模方法,研究了五个高度监测的湖泊群落浮游生物FD与基于丰度的系统状态指标(如生物量)之间的滞后关系。总体而言,浮游植物和浮游动物FD与湖泊状态表现出同步性,但每个湖泊的关系强度各不相同。因此,在更容易收集的丰度指标变化之前,浮游生物FD的变化不太可能被识别出来。这些结果突出了经验动态建模在解开复杂多元生态系统中时间滞后关系方面的力量,但表明FD不能作为一般可行的早期指标。因此,单个湖泊需要考虑其特定的环境,任何跨系统的FD解释都需要谨慎。然而,当在系统水平上考虑时,FD仍然保留了作为生物多样性的替代状态度量或特征表示的价值。利用来自5个高度监测湖泊的物种水平浮游生物特征和丰度数据,我们确定了相对于生态系统状态/功能的功能多样性变化的时间。简单的交叉相关和新颖的收敛交叉制图技术表明,浮游生物功能多样性与状态的相关性较弱(单个湖泊表现出独特的关系),但两者同时发生变化。这意味着功能多样性不是国家变化的主要指标,但它包含了这里使用的国家措施中没有的额外信息。
Managing ecosystems to effectively preserve function and services requires reliable tools that can infer changes in the stability and dynamics of a system. Conceptually, functional diversity (FD) appears as a sensitive and viable monitoring metric stemming from suggestions that FD is a universally important measure of biodiversity and has a mechanistic influence on ecological processes. It is however unclear whether changes in FD consistently occur prior to state responses or vice versa, with no current work on the temporal relationship between FD and state to support a transition towards trait‐based indicators. There is consequently a knowledge gap regarding when functioning changes relative to biodiversity change and where FD change falls in that sequence. We therefore examine the lagged relationship between planktonic FD and abundance‐based metrics of system state (e.g. biomass) across five highly monitored lake communities using both correlation and cutting edge non‐linear empirical dynamic modelling approaches. Overall, phytoplankton and zooplankton FD display synchrony with lake state but each lake is idiosyncratic in the strength of relationship. It is therefore unlikely that changes in plankton FD are identifiable before changes in more easily collected abundance metrics. These results highlight the power of empirical dynamic modelling in disentangling time lagged relationships in complex multivariate ecosystems, but suggest that FD cannot be generically viable as an early indicator. Individual lakes therefore require consideration of their specific context and any interpretation of FD across systems requires caution. However, FD still retains value as an alternative state measure or a trait representation of biodiversity when considered at the system level. Using species‐level plankton trait and abundance data from five highly monitored lakes, we determined the timing of functional diversity change relative to ecosystem state/functioning. Simple cross‐correlation and novel convergent cross mapping techniques revealed that planktonic functional diversity was weakly associated with state (with individual lakes displaying unique relationships), but that both measures changed simultaneously. This implies functional diversity is not a leading indicator of state change but contains additional information absent in the state measures used here.
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