Land use land cover dynamics as a function of changing demography and hydrology

Showqi, Irfana; Rashid, Irfan; Romshoo, Shakil Ahmad

doi:10.1007/s10708-013-9494-x

Cited by 43 publications

(22 citation statements)

References 28 publications

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“…-Availability: where data are widely available, it may be possible for minimal analysis to be carried out, and for data-centric studies to be carried out (Showqi et al, 2013), but when the boundaries of the system of interest are expanded to include the social side of the system, data requirements naturally increase, and modellers are exposed to data scarcity in multiple disciplines (Cotter et al, 2014). Hydrological modelling often suffers from data unavailability , but significant work has been carried out in recent years on prediction in ungauged basins (Hrachowitz et al, 2013;Wagener and Montanari, 2011) to reduce this, and so perhaps the potential multi-disciplinary data scarcity issues in socio-hydrology could borrow and adapt some techniques.…”

Section: Datamentioning

confidence: 99%

Socio-hydrological modelling: a review asking "why, what and how?"

Blair

Buytaert

2016

Hydrol. Earth Syst. Sci.

190

136

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Abstract.Interactions between humans and the environment are occurring on a scale that has never previously been seen; the scale of human interaction with the water cycle, along with the coupling present between social and hydrological systems, means that decisions that impact water also impact people. Models are often used to assist in decision-making regarding hydrological systems, and so in order for effective decisions to be made regarding water resource management, these interactions and feedbacks should be accounted for in models used to analyse systems in which water and humans interact. This paper reviews literature surrounding aspects of socio-hydrological modelling. It begins with background information regarding the current state of socio-hydrology as a discipline, before covering reasons for modelling and potential applications. Some important concepts that underlie socio-hydrological modelling efforts are then discussed, including ways of viewing socio-hydrological systems, space and time in modelling, complexity, data and model conceptualisation. Several modelling approaches are described, the stages in their development detailed and their applicability to socio-hydrological cases discussed. Gaps in research are then highlighted to guide directions for future research. The review of literature suggests that the nature of sociohydrological study, being interdisciplinary, focusing on complex interactions between human and natural systems, and dealing with long horizons, is such that modelling will always present a challenge; it is, however, the task of the modeller to use the wide range of tools afforded to them to overcome these challenges as much as possible. The focus in socio-hydrology is on understanding the human-water system in a holistic sense, which differs from the problem solving focus of other water management fields, and as such models in socio-hydrology should be developed with a view to gaining new insight into these dynamics. There is an essential choice that socio-hydrological modellers face in deciding between representing individual system processes or viewing the system from a more abstracted level and modelling it as such; using these different approaches has implications for model development, applicability and the insight that they are capable of giving, and so the decision regarding how to model the system requires thorough consideration of, among other things, the nature of understanding that is sought.

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Section: Datamentioning

confidence: 99%

Socio-hydrological modelling: a review asking "why, what and how?"

Blair

Buytaert

2016

Hydrol. Earth Syst. Sci.

190

136

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“…The changes in LULC leads to changes in nature, destruction of green cover, and polluting the water resources (Al-shalabi et al, 2013). Accelerating urban growth and LULCC increases pressures on the natural environment and human welfare and have become a global concern ( Turner and Meyer, 1994) with numerous relevant researches (Wu et al, 2013;Zhang et al, 2013;Camacho-Valdez et al, 2014;Showqi et al, 2014;Cai et al, 2016;Yirsaw et al, 2016;Tolessa et al, 2017), because these are believed to be responsible for ecological degradation such as habitat fragmentation and biodiversity loss (Bihamta et al, 2014) . Rapid urban development usually happens at the expense of prime agricultural land, with the destruction of the natural landscape and public open space (Liu, 2009).…”

Section: Introductionmentioning

confidence: 99%

Impact of Land Use and Land Cover Change on Ecosystem Service Values: A Case Study of Khon Kaen City, Thailand

Ongsomwang¹,

Pattanakiat²,

Srisuwan³

2019

EnNRJ

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Land use and land cover change (LULCC) by unplanned and uncontrolled urban expansion have a significant effect on ecosystem service values (ESVs). Objectives of the study were (1) to extract LULC status and its change between 2006 and 2016; (2) to predict two different LULC scenarios in 2026 and; (3) to assess LULCC impact on ESVs. Herein, Landsat imageries in 2006, 2011 and 2016 were used to classify LULC types by object-based image analysis (OBIA) and the derived results were applied to predict LULC in 2026 of two scenarios by CLUE-S model and to assess the impact of LULCC on ESVs. Results revealed that paddy field and field crop notably decreased while urban and built-up areas and rangeland dramatically increased over the study periods whereas total ESVs declined from about 145 MM USD in 2006 to 132 MM USD in 2026 of Scenario II and the ESVs of three dominant ecosystem service functions (waste treatment, water supply, and climate regulation) continuously decreased. The impact of LULCC on ESVs remarkably differed among the LULC types. In conclusion, land use and city planners should try to minimize the effect of LULCC on ESVs during the planning process. Keywords:Land use and land cover change/ CLUE-S model/ Ecosystem service values/ Khon Kaen Province

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“…The conversion of grassland, woodland and wetland into cropland and pasture during the last few decades has risen dramatically in worldwide (Lambin et al, 2003;Shiferaw et al, 2011;Showqi et al, 2014). Globally, it has altered the provision of ecosystem services, affected the global climate, and led to vast increases in production of food, timber, housing, and other commodities but at the cost of reductions in many ecosystem services and biodiversity (Tekle and Hedlund, 2000;Wang et al, 2012;Qasim et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…As the population and standard of life improves there is an obvious demand for producing more from natural resources especially the land. To meet such needs, the arable lands, built-up land are bound to expand at the cost of the natural land cover (Showqi et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

The relationships between land use change and demographic dynamics in western Jilin province

Zhang

et al. 2015

J. Geogr. Sci.

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Demographic change was thought to be the most major driver of land use change although there were several interacting factors involved, especially in the developing countries. In this paper, we selected western Jilin province in China as the study area to provide a case study for understanding the relationship between spatial-temporal pattern of the land use change and population dynamics from 1975 to 2010. The results showed that the change of farmland area percentage could be modeled well by using a quadratic function, the least area percentage of farmland was 15.4% in areas where the population density was 0 people/km 2 , and farmland area percentage had a greatest value of 94.8% when population density was 199.25 people/km 2 . The area percentage of grassland, water body and wetland decreased exponentially with population density increased. The relationship between land use degree and population density could be modeled well by using a logistic regression models. Due to economic growth and technological progress and the existence of Hollow Village phenomenon, land use degree still increased in areas where population density was negative growth. In addition, land use dynamics increased exponentially with population density change. Land use relative change of woodland, grassland, built-up land and wetland were proportional to population density change. According to the simulation results of the land use structure and land use degree, Da'an and Zhenlai had the greatest possibility to be further reclaimed. As sensitive and fragile areas, it was of significance to study environmental protection and ecologic construction on Tongyu and Qian'an.

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Land use land cover dynamics as a function of changing demography and hydrology

Cited by 43 publications

References 28 publications

Socio-hydrological modelling: a review asking "why, what and how?"

Socio-hydrological modelling: a review asking "why, what and how?"

Impact of Land Use and Land Cover Change on Ecosystem Service Values: A Case Study of Khon Kaen City, Thailand

The relationships between land use change and demographic dynamics in western Jilin province

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Land use land cover dynamics as a function of changing demography and hydrology

Cited by 43 publications

References 28 publications

Socio-hydrological modelling: a review asking &quot;why, what and how?&quot;

Socio-hydrological modelling: a review asking &quot;why, what and how?&quot;

Impact of Land Use and Land Cover Change on Ecosystem Service Values: A Case Study of Khon Kaen City, Thailand

The relationships between land use change and demographic dynamics in western Jilin province

Contact Info

Product

Resources

About

Socio-hydrological modelling: a review asking "why, what and how?"

Socio-hydrological modelling: a review asking "why, what and how?"