Evidence map›Paper›PMID 34554455›Full record

ArticleBiologia futura2020

The effect of future land use changes on hydrologic ecosystem services: a case study from the Zala catchment, Hungary.

Bence Decsi, Ágnes Vári, Zsolt Kozma

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Article in Biologia futura, 2020. 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.

Bence DecsiDepartment of Sanitary and Environmental Engineering, Budapest University of Technology and Economics, Műegyetem rakpart 3., K. building mf. 45/7, Budapest, 1111, Hungary. decsi.bence@epito.bme.hu.ORCID http://orcid.org/0000-0002-4601-8236
Ágnes VáriMTA Centre for Ecological Research, Institute of Ecology and Botany, Alkotmány u. 2-4, Vácrátót, 2163, Hungary.ORCID http://orcid.org/0000-0001-5285-847X
Zsolt KozmaDepartment of Sanitary and Environmental Engineering, Budapest University of Technology and Economics, Műegyetem rakpart 3., K. building mf. 45/7, Budapest, 1111, Hungary.ORCID http://orcid.org/0000-0002-1792-4109

Funding

Emberi Eroforrások Minisztériuma BME FIKP-VKT5European Regional Developmental Funds KEHOP-4.3.0-VEKOP-15-2016-00001
6 · The paper itself

Abstract

Maintaining and, where possible, improving the ecological status of our water resources are of particular importance for the future. So, one of the main drivers of landscape design must be to protect our waters. In this study, we carried out an evaluation of four hydrologic ecosystem services (HES) in the Zala River catchment area, the largest tributary of Lake Balaton (more than half of the lake's surface inflow comes from the Zala River), Hungary. The lake has great ecological, economic and social importance to the country. We used the cell-based InVEST model to quantify the spatial distribution of flood control, erosion control and nutrient retention ecosystem services for phosphorus and nitrogen; then, we carried out an aggregated evaluation. Thereby, we localized the hot spots of service delivery and tested the effect of focused land use changes in critical areas of low performance on the examined four HES. Forests proved to have the best aggregated result, while croplands near the stream network performed poorly. The modelled change in land use resulted in significant improvement on nutrient filtration and moderate to minimal but improving change for the other HES in most cases. The applied method is suitable as a supporting tool at the watershed level for decision-makers and landscape designers with the aim of protecting water bodies.

Indexed as

EcosystemConservation of Natural ResourcesForecastingHungaryLakesRiversFiltrationHydrologic ecosystem servicesInVESTLand use changeTrade-off

Identifiers

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.