Functional diversity is related to the maintenance of processes and functions in ecosystems. However, there is a lack of a conceptual framework that highlights the application of functional diversity as an ecological indicator. Therefore, we present a new initiative for motivating the development of ecological indicators based on functional diversity. We are interested in showing the challenges and solutions associated with these indicators. We integrated species assemblage theories and literature reviews. We considered plant traits related to ecosystem processes and functions (specific leaf area, leaf dry matter content, wood density, phenology, and seed mass) to show the application of a selection of functional diversity metrics that can be used as ecological indicators (i.e., community weighted-mean, functional divergence, functional richness and functional evenness). We caution that functional diversity as an ecological indicator can be misinterpreted if species composition is unknown. Functional diversity values can be over-represented by weed species (species established in disturbed sites) and do not maintain original processes and functions in ecosystems. Therefore, we searched for evidence to demonstrate that weed species are ecological indicators of functional diversity changes. We found support for two hypotheses that explain the effect of weed species on ecosystem function: functional homogenization, and functional transformation. Likewise, we showed the application of some tools that can help study anthropogenic effects on functional indicators. This perspective shows that the paradigm of addressing the effects of disturbances on ecosystem processes by using functional diversity as an ecological indicator can improve environmental evaluation, particularly in areas affected by human activities.
CITATION STYLE
Bonilla-Valencia, L., Castillo-Aguero, S., Zavala-Hurtado, J. A., García, F. J. E., Lindig-Cisneros, R., & Martínez-Orea, Y. (2022). Linking functional diversity to ecological indicators: a tool to predict anthropogenic effects on ecosystem functioning. Environmental Reviews, 30(2), 175–183. https://doi.org/10.1139/er-2021-0093
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