Land suitability analysis for agriculture in the Abbay basin using remote sensing, GIS and AHP techniques

Yalew, Seleshi; Griensven, Ann van; Mul, Marloes; Zaag, Pieter van der

doi:10.1007/s40808-016-0167-x

Cited by 140 publications

(79 citation statements)

References 32 publications

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“…Among the most substantial pressures to ecosystems in the study area are intensive livestock grazing and poor land management practices, leading to soil loss and land degradation. The district had a population of about 670,000 inhabitants in 2012, resulting in a population density of 60 people per km 2 , with a slightly increasing trend. The grassland biome forms a large and important component of South African vegetation (Scott-Shaw and Schulze, 2013).…”

Section: The Thukela Catchmentmentioning

confidence: 99%

“…2.4). (2)(3)(4) where S is the total suitability score, is the weight of the selected suitability criteria layer, is the assigned sub-criteria score of suitability criteria layer i, and n is the total number of suitability criteria layer (Cengiz and Akbulak, 2009;Pramanik, 2016).…”

Section: Calculation Of Weights For Criteria Mapsmentioning

confidence: 99%

“…As an agriculture dominated basin in Ethiopia, the Upper Blue Nile seems to be experiencing similar pleasures (Bewket and Sterk, 2002;Gebrehiwot et al, 2014). However, the amount, location and degree of suitability of the basin for agriculture do not seem well studied and/or documented (Yalew et al, 2016c). Haphazard land-use has thus far resulted in continuing deforestation, exhaustion of soil fertility, increased soil erosion and land degradation especially in the basin's highland catchments Bewket, 2002;Zeleke and Hurni, 2001).…”

Section: Introductionmentioning

confidence: 99%

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Integrated Modeling of Land and Water Resources in two African Catchments

Yalew¹

2018

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Although all care is taken to ensure integrity and the quality of this publication and the information herein, no responsibility is assumed by the publishers, the author nor UNESCO-IHE for any damage to the property or persons as a result of operation or use of this publication and/or the information contained herein. A pdf version of this work will be made available as Open Access via http://repository.tudelft.nl/ihe This version is licensed under the Creative Commons SUMMARYLand and water are two of the most important and interacting natural resources that are critical for human survival and development. Growing population and global economic expansion are accelerating the demand for land and water for uses such as agriculture, urbanization, irrigation, hydropower, and industrialization. The land surface changes dynamically due to these demands and other socio-economic drivers. Biophysical factors such as topographic suitability, climate change, and rainfall variability further influence landuse changes and land-use change decisions. Water resources are likewise experiencing pressure from overuse, pollution, and changes in hydrologic processes as a result of both socio-economic and biophysical factors.Land and water resources are considered to have strong interactions. Although the science of this interaction is not new, the two are typically managed under separate governance systems (Le Maitre et al., 2014). As a result, land-use change and hydrology or water resources are studied usually separately. Modelers and model developers reproduced the existing separation in governance of land and water resources in their respective models, which gave rise to mild treatment of one of the resources when analyzing the other. The result is that hydrology and water resources are often considered to be processes and resources affected only by biophysical components, ignoring anthropogenic contributions that may actually influence such characteristics through direct effects on land-use, for instance.The need to understand and explicitly represent the interaction between water resources on the one hand and land-use changes with its drivers on the other is imperative for sustainable management of integrated natural resources management in general and land and water resources management in particular. In recent years, interesting sub-disciplines such as 'socio-hydrology' are emerging which recognize and emphasize the importance of socioeconomic and anthropogenic effects on hydrologic and water resources analysis. Interaction and feedback between land-use and water resources is still not explicitly and dynamically represented in most scientific modeling tools related to land and water, however.Furthermore, often due to limitations of access and computing resources, frameworks for communicating integrated assessment and modeling in a way that can be operational to resource managers and decision makers related to such resources is limited. This is especially evident in developing regions. After the land-use models calibrated and...

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Section: The Thukela Catchmentmentioning

confidence: 99%

Section: Calculation Of Weights For Criteria Mapsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Integrated Modeling of Land and Water Resources in two African Catchments

Yalew¹

2018

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“…Schomoldt, Kangas, Mendoza, Pesonen, 2001) and forest-related criteria (e.g. Kangas, Kangas, 2005, Kangas, Kangas, Kurttila, 2008, Diaz-Balteiro, Romero, 2008and Feng, Wang, Yao, Ding, 2016, as well as in quality analysis (Badri, Al Qubaisi, Mohaidat, Al Dhaheri, Yang, Al Rashedi, Greer, 2016), assessment of different agricultural processes (Zhang, Su, Wu, Liang, 2015, Aydi, Abichou, Nasr, Louati, Zairi, 2016and Yalew, van Griensven, Mul, van der Zaag, 2016 and in water resource management (Sun, Wang, Liu, Cai, Wub, Gengd, Xu, 2016 andZhao, Jin, Zhu, Xu, Hang, Chen, Han, 2016).…”

Section: Introductionmentioning

confidence: 99%

The triangle assessment method: A new procedure for eliciting expert judgement

Prez-Rodrguez

Alboreca

2017

Expert Systems with Applications

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“…Akinci et al (2013) also used GIS and AHP methods in order to determine the alternative agricultural lands for Yusufeli (Artvin) district since the current agricultural lands to be inundated by the reservoir water of Yusufeli Dam. Therefore, when reviewing the current literature, it can be clearly seen that many researchers such as Mishra et al (2015); Bozdağ et al (2016); Romeijn et al (2016); Yalew et al (2016), and Pramanik (2016) used GIS and AHP methods in respect to both analyzing the suitability of agricultural land and producing related maps.…”

Section: Introductionmentioning

confidence: 99%

Investigating Impacts of Large Dams on Agricultural Lands and Determining Alternative Arable Areas Using Gis and Ahp in Artvin, Turkey

Akıncı¹,

Özalp²,

Özalp³

2017

Scitech

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Large dams are generally built for the purposes of providing drinking or irrigation water, flood control, and producing hydroelectric power, but their constructions also result in some negative outcomes such as decreasing in flora and fauna diversity, inundation of arable lands, forest areas, cultural sites and involuntary displacement of people. The city of Artvin has been facing almost all of those negative effects since five large dams have being constructed on the section of the Çoruh River flowing within the city boundary. Three of those large dams completed submerged 795.60 ha of fertile agricultural land under the reservoir waters. The objective of this study was to determine potential suitable agricultural areas in substitution for those inundated due to these five dams. For this, the Analytic Hierarchy Process (AHP) method was used in this study. In the application, parameters including great soil groups, land use capability class, land use capability sub -class, soil depth, erosion degree, slope, aspect, elevation and other soil properties were used. A suitability map was created and separated into 5 categories according to the land suitability classification provided by the FAO. After deducting the forests, pastures, and reservoir areas, newly classified suitability map showed that 2.08% (11603.25 ha) of the study area was highly suitable, while 3.43% (19132.84 ha) was moderately suitable and 4.30% (23989.99 ha) was marginally suitable for agricultural production. It was interpreted that high slope, insufficient soil depth for agricultural production, and high erosion degree of the study area were effective factors in these findings.

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Land suitability analysis for agriculture in the Abbay basin using remote sensing, GIS and AHP techniques

Cited by 140 publications

References 32 publications

Integrated Modeling of Land and Water Resources in two African Catchments

Integrated Modeling of Land and Water Resources in two African Catchments

The triangle assessment method: A new procedure for eliciting expert judgement

Investigating Impacts of Large Dams on Agricultural Lands and Determining Alternative Arable Areas Using Gis and Ahp in Artvin, Turkey

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