Evidence map›Paper›PMID 41651933›Full record

ArticleScientific reports2026

Integrated assessment of ecological land capability and land suitability for irrigated agriculture in Alborz Province Iran.

Mohammad Saber Baghkhanipour, Romina Sayahnia, Naghmeh Mobarghaee Dinan, Afshin Danehkar

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. 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

4 authors.

Mohammad Saber BaghkhanipourDepartment of Environmental Planning and Design, Environmental Sciences Research Institute, Shahid Beheshti University, Tehran, Iran.
Romina SayahniaDepartment of Environmental Planning and Design, Environmental Sciences Research Institute, Shahid Beheshti University, Tehran, Iran. r_sayahnia@sbu.ac.ir.
Naghmeh Mobarghaee DinanDepartment of Environmental Planning and Design, Environmental Sciences Research Institute, Shahid Beheshti University, Tehran, Iran.
Afshin DanehkarDepartment of Environmental Science, Faculty of Natural Resources, University of Tehran, Karaj, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing population density and improper land use have led to significant degradation of land resources, which is now a major environmental problem. A key challenge in sustainable agricultural planning is the separate application of land capability assessment (LCA) and land suitability assessment (LSE) methods in land spatial planning. The main objective of agricultural land suitability assessment is to assess the potential and constraints of land relative to the needs of target crops. This study aimed to develop a practical approach to integrate ecological LCA models with LSE models in Alborz province, Iran. Four cereal crops with a history of irrigated cultivation in the province were selected as target crops. The LCA model was integrated with the LSE model using nine factor-type and eight constraint-type criteria. The findings showed that approximately 7% of the province is suitable for irrigated cultivation of four crops, while the current irrigated agricultural area is approximately over 11%. A comparative analysis of two multi-criteria decision-making (MCDM) methods showed that calculating the programmable water amount and replacing monthly temperatures with continuity for target crops instead of the annual mean temperature by reflecting the potential agricultural capacity of the land and the initial crop composition increases the accuracy of the suitability measurement, which reduces the land identified as suitable for irrigated agriculture.

Indexed as

Alborz provinceIrrigated cerealsLand capability assessmentLand suitability evaluationSpatial planningSustainable agriculture

Identifiers

PMID41651933
PMCPMC12936082

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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.