Evidence map›Paper›PMID 42604058›Full record

ArticleiScience2026

Examining the nexus between household livelihood vulnerability and ecosystem service dependence in southern Shaanxi.

Wei Liu, Liyang Guo, Jie Xu, Marcus W Feldman, Cong Li

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Wei LiuSchool of Public Administration, Xi'an University of Architecture and Technology, Xi'an 710055, China.
Liyang GuoSchool of Public Administration, Xi'an University of Architecture and Technology, Xi'an 710055, China.
Jie XuSchool of Public Administration, Xi'an University of Finance and Economics, Xi'an 710100, China.
Marcus W FeldmanDepartment of Biology, Stanford University, Stanford, CA, USA.
Cong LiSchool of Economics and Finance, Xi'an Jiaotong University, Xi'an 710049, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban resettlement is a key mechanism for promoting ecological conservation and improving livelihoods. This study investigates how urban resettlement influences the relationship between household livelihood vulnerability and the index of dependence on ecosystem services (IDES). Using survey data from 657 households in Ankang prefecture, Shaanxi province, China, we analyze this relationship in the context of resettlement. Using the Intergovernmental Panel on Climate Change's (IPCC) "exposure, sensitivity, and adaptive capacity" framework for assessing livelihood vulnerability, and measuring IDES across provisioning, regulating, and cultural services, households are classified into four "vulnerability-dependence" categories via the four-quadrant method. The findings indicate that (1) relocated households exhibit significantly higher livelihood vulnerability and lower overall IDES than non-relocated households; (2) new-stage relocation and higher subsidies increase the likelihood of households being in the "high vulnerability-low dependence" and "low vulnerability-low dependence" categories; and (3) long-distance relocation significantly reduces the probability of households falling into the "low vulnerability-high dependence" category. To address ongoing challenges, policymakers should optimize resource management, facilitate livelihood transformation, and thereby enhancing both livelihood and ecological security.

Indexed as

dependence on ecosystem serviceslivelihood vulnerabilitysocial-ecological systemssustainable livelihoodurban resettlement policy

Identifiers

PMID42604058
PMCPMC13476568

What OpenQuestion holds

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Registered trials

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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.