Evidence map›Paper›PMID 39225977›Full record

ArticleAmbio2024

Analysis of the watershed social-ecological system trajectory in Copalita-Huatulco, Mexico: The impact of drivers on hydrological ecosystem services.

Angel Merlo-Galeazzi, Véronique Sophie Avila-Foucat, María Perevochtchikova

Abstract read
In one paragraph

Article in Ambio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Angel Merlo-GaleazziPosgrado en Ciencias de la Sostenibilidad, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico.
Véronique Sophie Avila-FoucatInstituto de Investigaciones Económicas, Universidad Nacional Autónoma de México (UNAM), Ciudad Universitaria, Avenida Universidad 3000, Alcaldía Coyoacán, CP 04510, Mexico City, Mexico. savila@iiec.unam.mx.
María PerevochtchikovaCentro de Estudios Demográficos, Urbanos y Ambientales at El Colegio de México A.C (CEDUA-COLMEX), Carretera Picacho Ajusco 20, Col. Ampliación Fuentes del Pedregal, 14110, Mexico City, Mexico.

Funding

Agence Nationale de la Recherche 290832Consejo Nacional de Humanidades, Ciencias y Tecnologías (MX) 290832Universidad Nacional Autónoma de México PAPIIT-IN302720Universidad Nacional Autónoma de México PAPIIT-IV300123Universidad Nacional Autónoma de México PASPA-DGAPA
6 · The paper itself

Abstract

In watersheds, which function as social-ecological systems (SESs), hydrological ecosystem services (HESs) are crucial flows connecting natural and social components. The internal and external drivers that shape HESs and watershed SES trajectories create complexities in watershed management. In this study, the adaptive cycle framework was adopted, and a qualitative method is proposed to analyze the impacts of drivers on the HES and the watershed SES trajectory. Empirical evidence from the Copalita-Huatulco watershed in Mexico was used to study the relationships between drivers and HESs. The results reveal changes in regional hydrodynamics due to natural shocks, cumulative social stressors, and SES-related human trajectories. The SES trajectory was in a growth phase when stressors dominated, a collapse when shocks occurred, and a conservation phase when human agency was strong. Understanding the impact of drivers on HESs and their integration into SES trajectories is a key element of HES resilience.

Indexed as

EcosystemHydrologyConservation of Natural ResourcesHumansMexicoRiversAdaptive cycleBasinCoupled systemsHistorical transformationWater

Identifiers

PMID39225977
PMCPMC11568105

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.