Evidence map›Paper›PMID 28168020›Full record

ReviewEcology and evolution2017

Trait-based approaches to analyze links between the drivers of change and ecosystem services: Synthesizing existing evidence and future challenges.

Violeta Hevia, Berta Martín-López, Sara Palomo, Marina García-Llorente, Francesco de Bello, José A González

Abstract readReview
In one paragraph

Review in Ecology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Violeta HeviaSocial-ecological Systems Laboratory Department of Ecology Universidad Autónoma de Madrid Madrid Spain.
Berta Martín-LópezFaculty of Sustainability Institute of Ethics and Transdisciplinary Sustainability Research Leuphana University of Lüneburg Lüneburg Germany.
Sara PalomoSocial-ecological Systems Laboratory Department of Ecology Universidad Autónoma de Madrid Madrid Spain.
Marina García-LlorenteSocial-ecological Systems Laboratory Department of Ecology Universidad Autónoma de Madrid Madrid Spain; Applied Research and Agricultural Extension Department Madrid Institute for Rural, Agricultural and Food Research and Development (IMIDRA) Alcalá De Henares Madrid Spain.
Francesco de BelloInstitute of Botany Academy of Sciences of the Czech Republic Trebon Czech Republic.
José A GonzálezSocial-ecological Systems Laboratory Department of Ecology Universidad Autónoma de Madrid Madrid Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the responses of biodiversity to drivers of change and the effects of biodiversity on ecosystem properties and ecosystem services is a key challenge in the context of global environmental change. We performed a systematic review and meta-analysis of the scientific literature linking direct drivers of change and ecosystem services via functional traits of three taxonomic groups (vegetation, invertebrates, and vertebrates) to: (1) uncover trends and research biases in this field; and (2) synthesize existing empirical evidence. Our results show the existence of important biases in published studies related to ecosystem types, taxonomic groups, direct drivers of change, ecosystem services, geographical range, and the spatial scale of analysis. We found multiple evidence of links between drivers and services mediated by functional traits, particularly between land-use changes and regulating services in vegetation and invertebrates. Seventy-five functional traits were recorded in our sample. However, few of these functional traits were repeatedly found to be associated with both the species responses to direct drivers of change (response traits) and the species effects on the provision of ecosystem services (effect traits). Our results highlight the existence of potential "key functional traits," understood as those that have the capacity to influence the provision of multiple ecosystem services, while responding to specific drivers of change, across a variety of systems and organisms. Identifying "key functional traits" would help to develop robust indicator systems to monitor changes in biodiversity and their effects on ecosystem functioning and ecosystem services supply.

Indexed as

biodiversityecosystem functioneffect traitsglobal environmental changeresponse traitssystematic review

Identifiers

PMID28168020
PMCPMC5288245

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.