Optimizing agricultural land use: A GIS-based assessment of suitability in the Sana River Basin, Bosnia and Herzegovina

被引:1
|
作者
Sabljic, Luka [1 ]
Lukic, Tin [2 ]
Bajic, Davorin [1 ]
Markovic, Rastko [3 ]
Spalevic, Velibor [4 ]
Delic, Dragica [1 ]
Radivojevic, Aleksandar G. [3 ]
机构
[1] Univ Banja Luka, Fac Nat Sci & Math, Mladena Stojanovica 2, Banja Luka 78000, Bosnia & Herceg
[2] Univ Novi Sad, Fac Sci, Dept Geog Tourism & Hotel Management, Trg Dositeja Obradovica 3, Novi Sad 21000, Serbia
[3] Univ Nis, Fac Sci, Dept Geog, Visegradska 33, Nish 18000, Serbia
[4] Univ Montenegro, Biotech Fac, Mihaila Lalica 15, Podgorica 81000, Montenegro
来源
OPEN GEOSCIENCES | 2024年 / 16卷 / 01期
关键词
geographic information systems; analytical hierarchy process; spatial analysis; supervised classification; agriculture suitability; reclassification; cluster analysis; land use; Sana River basin; Bosnia and Herzegovina; NONPOINT-SOURCE POLLUTION; HIERARCHY PROCESS; FOOD SECURITY; DECISION; CLASSIFICATION; TECHNOLOGY; ALLOCATION; LANDSCAPES; CHALLENGES; RESOURCES;
D O I
10.1515/geo-2022-0683
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The research subject is the application of geographic information systems (GIS) in assessing land suitability for agriculture in the Sana River Basin in Bosnia and Herzegovina. The aim of the research is to apply the analytic hierarchy process (AHP) in identifying suitable areas for agricultural production. Within the AHP framework, the following factors were considered: pedology, land use, elevation, slope, aridity index, and distance from rivers. The results of the suitability assessment underwent reclassification (RP) and cluster analysis processes (CAPs). It was found that very unsuitable land (1) covers an area of 0.15% (RP) or 5.83% (CAP), unsuitable land (2) covers 3.44% (RP) or 17.52% (CAP), conditionally suitable land (3) covers 32.11% or 28.47% (CAP), suitable land (4) covers 56.29% or 28.57% (CAP), and very suitable land (5) covers 7.98% (RP) or 19.59% (CAP). At the study area level, a supervised classification process was conducted to identify land use classes: meadows/pastures, water, forest, agricultural, and built-up areas. RP and CAP results were overlaid with supervised classification results to determine the amount of land used for agricultural purposes within each suitability class. It was determined that currently, for agricultural purposes, 0.04 km2 (RP) or 0.88 km2 (CAP) of very unsuitable land (1) is used, 0.41 km2 (RP) or 7.28 km2 (CAP) of unsuitable land (2), 15.75 km2 (RP) or 27.52 km2 (CAP) of conditionally suitable land (3), 185.15 km2 (RP) or 107.06 km2 (CAP) of suitable land (4), and 42.99 km2 (RP) or 101.65 km2 (CAP) of very suitable land (5). The research findings hold substantial importance in elucidating both the potential and constraints of land use practices as a vital natural resource within agriculture. They also have practical importance for relevant institutions in terms of agricultural sector development and making timely land use planning decisions for sustainable development.
引用
收藏
页数:27
相关论文
共 50 条
  • [31] GIS-based land suitability evaluation for rapeseed oil crop
    Pirbalouti, Abdollah Ghasemi
    JOURNAL OF FOOD AGRICULTURE & ENVIRONMENT, 2009, 7 (3-4): : 837 - 840
  • [32] Mapping and evaluating land suitability using a GIS-based model
    El Baroudy, A. A.
    CATENA, 2016, 140 : 96 - 104
  • [33] BPNN Based Agricultural Land Suitability Evaluation With GIS
    Zhang, Liqin
    Li, Jiangfeng
    Qu, Liping
    Zhu, Jianghong
    Kong, Chunfang
    Chen, Zhongda
    Luo, Yida
    2009 INTERNATIONAL SYMPOSIUM ON COMPUTER NETWORK AND MULTIMEDIA TECHNOLOGY (CNMT 2009), VOLUMES 1 AND 2, 2009, : 1150 - +
  • [34] A GIS-BASED HEDONIC PRICE MODEL FOR AGRICULTURAL LAND
    Demetriou, Demetris
    THIRD INTERNATIONAL CONFERENCE ON REMOTE SENSING AND GEOINFORMATION OF THE ENVIRONMENT (RSCY2015), 2015, 9535
  • [35] GIS-Based Agricultural Land Use Favorability Assessment in the Context of Climate Change: A Case Study of the Apuseni Mountains
    Savan, Gabriela
    Pacurar, Ioan
    Rosca, Sanda
    Megyesi, Hilda
    Fodorean, Ioan
    Bilasco, Stefan
    Negrusier, Cornel
    Bara, Lucian Vasile
    Filipov, Fiodor
    APPLIED SCIENCES-BASEL, 2024, 14 (18):
  • [36] GIS-based land-use suitability analysis for urban agriculture development based on pollution distributions
    Kazemi, Fatemeh
    Hosseinpour, Nazanin
    LAND USE POLICY, 2022, 123
  • [37] PyLUSAT: An open-source Python toolkit for GIS-based land use suitability analysis
    Chen, Changjie
    Judge, Jasmeet
    Hulse, David
    Environmental Modelling and Software, 2022, 151
  • [38] Optimizing arable land suitability evaluation using improved suitability functions in the Anning River Basin
    Luo, Fang
    He, Li
    Chen, Zhongsheng
    He, Zhengwei
    Bai, Wenqian
    Zhao, Yang
    Cen, Yuxin
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [39] A GIS-based agricultural land-use allocation model coupling increase and decrease in land demand
    Pilehforooshha, Parastoo
    Karimi, Mohammad
    Taleai, Mohammad
    AGRICULTURAL SYSTEMS, 2014, 130 : 116 - 125
  • [40] GIS-based groundwater potential zonation and assessment of groundwater quality and suitability for drinking and irrigation purposes in the Shanmughanadhi river basin, south India
    Francis, Vinnarasi
    Krishnaraj, Srinivasamoorthy
    Kumar, Saravanan
    Andiyappan, Rajesh Kanna
    Govindan, Ponnumani
    KUWAIT JOURNAL OF SCIENCE, 2024, 51 (03)