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Open AccessJournal ArticleDOI

Attribution of changes in the water balance of a basin to land-use changes through combined modelling of basin hydrology and land-use dynamics

TLDR
In this article , the authors presented a strategic observation frame as the land use and land cover transitions are grouped to define the cover flows (CFs) in the Küçük Menderes River Basin (KMRB).
Abstract
Land use and land cover change (LULCC) is considered one of the major drivers of climate change, although climate change can also foster direct or indirect influences leading to LULCC. The objective of the presented study is to offer a strategic observation frame as the land use and land cover (LULC) transitions are grouped to define the cover flows (CFs). The Küçük Menderes River Basin (KMRB), which is located in the west of Turkey was examined as the case study. Through LULCC modelling via the employment of multi-layer perceptron (MLP), cellular automata (CA), and Markov Chain methods, future LULC maps were projected up to the horizon of 2050. Hydrologic responses of the basin to LULCC were determined by the developed hydrologic model, which is generated by the Soil and Water Assessment Tool (SWAT). The superimposed impacts of the examined effects of LULCC have been investigated by the CF types. This way, the individual impacts of the CFs have been assessed. In the case of the KMRB, projected annual runoffs for the year 2050 cover map represent a 9.06% reduction and the major responsible CF type for this reduction is the conversion from forest to non-irrigated agricultural land cover by 22.90%.

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References
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Journal ArticleDOI

Dynamics of Land-Use and Land-Cover Change in Tropical Regions

TL;DR: In this article, the authors highlight the complexity of land-use/cover change and propose a framework for a more general understanding of the issue, with emphasis on tropical regions, and argue that a systematic analysis of local-scale land use change studies, conducted over a range of timescales, helps to uncover general principles that provide an explanation and prediction of new land use changes.
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Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA

TL;DR: This paper describes how to use the relative operating characteristic (ROC) as a quantitative measurement to validate a land-cover change model and applies the theoretical concepts to a model of deforestation in the Ipswich watershed, USA.
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Drought in the sahara: a biogeophysical feedback mechanism.

TL;DR: Two integrations of a global general circulation model show that an increase in albedo resulting from a decrease in plant cover causes a decreases in rainfall, which could initiate or perpetuate a drought.
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SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty

TL;DR: SoilGrids as discussed by the authors produces maps of soil properties for the entire globe at medium spatial resolution (250 m cell size) using state-of-the-art machine learning methods to generate the necessary models.
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Baring high-albedo soils by overgrazing: a hypothesized desertification mechanism.

TL;DR: Measurements and modeling show that the denuded surfaces are cooler, when compared under sunlit conditions, and this observed "thermal depression" eflect should result in a decreased lifting of air necessary for cloud formation and precipitation, and thus lead to regional climatic desertification.
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