DOI: 10.1016/j.foreco.2017.02.024
Scopus记录号: 2-s2.0-85013058622
论文题名: Predicting restored communities based on reference ecosystems using a trait-based approach
作者: Rosenfield M.F. ; Müller S.C.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2017
卷: 391 起始页码: 176
结束页码: 183
语种: 英语
英文关键词: Ecosystem process
; Functional ecology
; Functional traits
; Natural regeneration
; Subtropical forest
Scopus关键词: Ecology
; Forestry
; Function evaluation
; Reforestation
; Restoration
; Surveys
; Ecosystem process
; Functional ecologies
; Functional traits
; Natural regeneration
; Subtropical forests
; Ecosystems
; biomonitoring
; community composition
; ecological modeling
; ecosystem function
; environmental restoration
; forest ecosystem
; functional change
; functional group
; regeneration
; restoration ecology
; subtropical region
; Brazil
英文摘要: Ecological restoration should focus, not only on species composition, but also on the ecological functions provided by the ecosystem, mirroring the characteristics found in the reference site. In this context, plant functional traits could help to achieve this goal, as they directly affect ecosystem processes. Thus, modeling species composition based on species functional traits could provide ways to make predictions about future communities and to assess the functioning of the ecosystem. In order to evaluate how different restored communities are from their reference ecosystem, we used a trait-based modeling approach that predicts relative abundances of a community based on the functional composition of the reference ecosystem. We surveyed adult trees in the canopy and seedlings in the understory in both reference and 10 year-old restoration sites in two different locations in South of Brazil to gather information of species composition and their relative abundances. Functional composition was based on information of leaf traits for all species included in the survey. We applied the model on two different components: canopy and understory species. We found differences in functional composition between the restored communities and the reference sites, indicating that the ten-year old restored forests are still not similar to the reference ecosystem. Both the observed and the predicted understory communities were more similar to the reference ecosystem than the observed canopy communities. It indicates that species that established after restoration interventions have functional composition closer to the reference ecosystem than the set of species initially selected for planting. Modeling the community based on functional trait composition coupled with long-term monitoring of sites undergoing restoration would enable a better evaluation of restoration trajectories and management needs to modify ecosystem functions towards values found in reference sites. Restoration should focus on the recovery of functional composition, which would provide a better set of resources for organisms and promote changes in ecosystem processes. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64408
Appears in Collections: 影响、适应和脆弱性
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作者单位: Laboratório de Ecologia Vegetal, Programa de Pós-Graduação em Ecologia, Universidade Federal do Rio Grande do Sul, Brazil
Recommended Citation:
Rosenfield M.F.,Müller S.C.. Predicting restored communities based on reference ecosystems using a trait-based approach[J]. Forest Ecology and Management,2017-01-01,391