Evidence map›Paper›PMID 42493526›Full record

ArticleScientific reports2026

GIS-AHP-based land suitability assessment for sustainable agricultural planning on Qeshm Island.

Asef Darvishi, Maryam Yousefi, Seyed Mohsen Mousavi, Hadi Khoshnamvand, Faezeh Borhani, Michael Schirrmann

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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.

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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

The trial behind it

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3 · Its place in the literature

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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

6 authors.

Asef DarvishiLeibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Potsdam-Bornim, Max-Eyth-Allee 100, 14469, Potsdam, Germany. adarvishi@atb-potsdam.de.
Maryam YousefiLeibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany.
Seyed Mohsen MousaviDepartment of Environmental Science, Faculty of Natural Resources, University of Gilan, Rasht, Iran.
Hadi KhoshnamvandDepartment of Biodiversity and Ecosystem Management, Environmental Sciences Research Institute, Shahid Beheshti University, G.C., Evin, Tehran, Iran.
Faezeh BorhaniDepartment of Environmental Engineering, Faculty of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, 1411713116, Iran.
Michael SchirrmannLeibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Potsdam-Bornim, Max-Eyth-Allee 100, 14469, Potsdam, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sustainable agricultural planning necessitates a holistic approach that considers ecological, economic, and social dimensions, balancing agricultural yield with long-term ecological sustainability. In the face of intensifying environmental pressures, such as climate change, land degradation, and biodiversity loss, agriculture must adopt adaptive land use strategies to ensure long-term viability. This paper explores how integrating landscape ecology principles into agricultural planning on Qeshm Island can enhance landscape resilience and efficiency to guide land use strategies that preserve biodiversity and sustain ecosystem services. A land suitability model was applied by converting socio-ecological factors (soil, slope, geology, water accessibility, land use and land cover, and sensitive habitats) into standardized raster layers, weighting them with AHP, and integrating them through a GIS-based weighted overlay. Suitability map was evaluated through accuracy assessment and sensitivity analysis to ensure reliability. The results showed high and very high suitability areas (18,628 ha) aligned with optimal conditions, while moderate zones (13,935 ha) required interventions such as erosion control and water management. Low-suitability (1,408 ha) and unsuitable areas (112,188 ha) faced significant constraints as steep topography and erosion-prone soils, limiting agricultural potential. The findings underscore the importance of interdisciplinary collaboration (e.g., agronomy, social, ecology, and geography) and the adoption of innovative planning tools to achieve sustainable agricultural landscapes.

Indexed as

BiodiversityLandscape ecologyMulti-criteria land evaluationSocio-ecological systems

Identifiers

PMID42493526
PMCPMC13396512

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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.