Evidence map›Paper›PMID 41917067›Full record

ArticleScientific reports2026

Impacts of land use/land cover change on ecosystem service values in the Dinki Watershed, central highlands of Ethiopia.

Yared Worku, Mengistu Asmamaw, Argaw Ambelu

Abstract read
In one paragraph

Article in Scientific reports, 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
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Yared WorkuDepartment of Fisheries and Aquatic Sciences, College of Agriculture and Environmental Sciences, Bahir Dar University, P.O. Box 79, Bahir Dar, Ethiopia.
Mengistu AsmamawDepartment of Fisheries and Aquatic Sciences, College of Agriculture and Environmental Sciences, Bahir Dar University, P.O. Box 79, Bahir Dar, Ethiopia. mengistuasmamaw21@gmail.com.
Argaw AmbeluCenter for Water Research, Addis Ababa University, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined land use and land cover (LULC) dynamics in the Dinki watershed, central highlands of Ethiopia, and their impacts on ecosystem service values (ESVs) across three time periods (1994, 2014, 2023). Multi temporal satellite imagery was classified to detect changes, complemented by community perspectives gathered through interviews and focus group discussions. Ecosystem service values were sourced from global databases and adjusted for the Ethiopian highlands using biome-specific coefficients, cross-checked with local experts and community input. Six LULC categories were identified: cropland, built up areas, dense forest, grazing land, sparse vegetation/ slight vegetation, and water bodies from the total area of 160.91 km2. Classification accuracy improved from 86.1% (1994) to 91.67% (2014) and 94.4% (2023), with strong agreement indicated by Kappa values of 0.83, 0.90, and 0.93. The LULC analysis showed notable changes across the watershed, where increases in water bodies and sparse vegetation contributed to overall ecosystem service value (ESV) gains. These changes significantly influenced ESVs, with water bodies and sparse vegetation driving the net increase. Consequently, total ESVs rose from US$200.32 thousand per year in 1994 to US$310.33 thousand per year in 2023, despite losses from cropland and forest ecosystems. Regulating services contributed the largest share, followed by provisioning, supporting, and cultural services. The findings demonstrate that LULC dynamics simultaneously enhance and undermine ecosystem functions. Integrated watershed management combining sustainable agriculture, reforestation, livelihood diversification, and community participation will be essential to balance ecological integrity with socioeconomic development in the Dinki watershed.

Indexed as

Biodiversity conservationEcosystem valuationEnvironmental sustainabilityGIS analysisRemote sensingWatershed management

Identifiers

PMID41917067
PMCPMC13187316

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LicenceCC BY-NC-ND
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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.