Effect of forest structure and management on the functional diversity and composition of understorey plant communities

Author:

Bricca Alessandro1ORCID,Bonari Gianmaria1ORCID,Padullés Cubino Josep2ORCID,Cutini Maurizio3ORCID

Affiliation:

1. Faculty of Science and Technology Free University of Bozen‐Bolzano Bolzano Italy

2. Centre for Ecological Research and Forestry Applications (CREAF) Cerdanyola del Vallès Spain

3. Department of Science University of Roma Tre Rome Italy

Abstract

AbstractQuestionsDo forest structural parameters related to stand heterogeneity enhance functional diversity (FD) of understorey plant communities? Do FD and functional composition of understorey plant communities vary between high‐forest (HF) and old coppices‐with‐standard (oldCWS) management types? Are HF stands characterized by a higher FD than oldCWS?LocationSubmediterranean beech forests of Montagne della Duchessa Reserve (central Italy).MethodsWe sampled 57 (20 m × 20 m) forest plots, 29 oldCWS and 28 HF stands, where we recorded plant species cover abundance. We used Leaf–Height–Seed and clonal traits, and run multiple separate linear models to quantify the effect of forest structural parameters and management types on FD and functional composition of understorey plant communities.ResultsWe found that increasing lying deadwood enhanced FD of specific leaf area (SLA) through micro‐environmental heterogeneity of soil fertility regardless of management type. We also found that increased horizontal stratification filtered the range of plant sizes, probably through light reduction. HF management enhanced FD of SLA and clonal traits through micro‐environmental heterogeneity, while reducing the FD of plant size and seed mass. HF tended to select plant communities characterized by high resource acquisition strategies but lower persistence between ramets, possibly as an effect of more mature forest conditions.ConclusionOur study suggests that understorey plant community diversity and composition change in response to forest structure and management. Combining Leaf–Height–Seed with clonal traits offers a promising framework for understanding and predicting plant response to management practices.

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Ecology

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