Land Cover Transition in Northern Tanzania

Ouédraogo, Issa; Barron, Jennie; Tumbo, Siza D.; Kahimba, Frederick C.

doi:10.1002/ldr.2461

Cited by 23 publications

(12 citation statements)

References 71 publications

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“…Here, we assumed the land use/cover type with the maximal negative change proportion transitioned to the type with the maximal positive change proportion, but ignored transitions with maximal change areas of <0.05%. To examine whether the observed transitions were driven by statistical systematic processes or random processes, we detected the signals of land cover change or transition using the same method as in previous studies, which adopted the Chi-square approach to compare the observed transition matrix with an expected matrix generated under random processes (Ouedraogo et al 2016, Braimoh 2006, Pontius et al 2004. Unlike previous studies that have detected systematic and random land cover transitions in a landscape, we performed a pixel-wise detection at the 0.05 • scale.…”

Section: Land Use and Land Cover Change In Chinamentioning

confidence: 99%

Impacts of land cover transitions on surface temperature in China based on satellite observations

Zhang

Liang

2018

Environ. Res. Lett.

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China has experienced intense land use and land cover changes during the past several decades, which have exerted significant influences on climate change. Previous studies exploring related climatic effects have focused mainly on one or two specific land use changes, or have considered all land use and land cover change types together without distinguishing their individual impacts, and few have examined the physical processes of the mechanism through which land use changes affect surface temperature. However, in this study, we considered satellite-derived data of multiple land cover changes and transitions in China. The objective was to obtain observational evidence of the climatic effects of land cover transitions in China by exploring how they affect surface temperature and to what degree they influence it through the modification of biophysical processes, with an emphasis on changes in surface albedo and evapotranspiration (ET). To achieve this goal, we quantified the changes in albedo, ET, and surface temperature in the transition areas, examined their correlations with temperature change, and calculated the contributions of different land use transitions to surface temperature change via changes in albedo and ET. Results suggested that land cover transitions from cropland to urban land increased land surface temperature (LST) during both daytime and nighttime by 0.18 and 0.01 K, respectively. Conversely, the transition of forest to cropland tended to decrease surface temperature by 0.53 K during the day and by 0.07 K at night, mainly through changes in surface albedo. Decreases in both daytime and nighttime LST were observed over regions of grassland to forest transition, corresponding to average values of 0.44 and 0.20 K, respectively, predominantly controlled by changes in ET. These results highlight the necessity to consider the individual climatic effects of different land cover transitions or conversions in climate research studies. This short-term analysis of land cover transitions in China means our estimates should represent local temperature effects. Changes in ET and albedo explained <60% of the variation in LST change caused by land cover transitions; thus, additional factors that affect surface climate need consideration in future studies.

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Section: Land Use and Land Cover Change In Chinamentioning

confidence: 99%

Impacts of land cover transitions on surface temperature in China based on satellite observations

Zhang

Liang

2018

Environ. Res. Lett.

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“…with changes in temperature and showed stronger correlation coefficients with temperature than with precipitation, but the grids showing a significant correlation with these factors accounted for only a small proportion of the total for both precipitation and temperature. KEYWORDS carbon cycling, carbon use efficiency, China, climate change, land-use change, net ecosystem productivity 1 | INTRODUCTION Land degradation can be assessed based on many aspects, such as land cover change (Ouedraogo, Barron, Tumbo, & Kahimba, 2016), soil deterioration (Ramos-Scharron & Thomaz, 2017), and carbon stock changes (Lal, 2002;Nyamadzawo, Shukla, & Lal, 2008). The problem of global warming, which is mainly caused by large amounts of carbon emissions, has continuously worsened and caused significant damage (Wallace, Held, Thompson, Trenberth, & Walsh, 2014); it may drive more serious impacts and risks in the future and has the high potential to aggravate land degradation.…”

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Land degradation monitoring using terrestrial ecosystem carbon sinks/sources and their response to climate change in China

Chuai

Zhang

et al. 2018

Land Degrad Dev

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Global warming, which is mainly caused by greenhouse gases, can greatly aggravate land degradation; therefore, the examination of the NEP (net ecosystem productivity) and the analysis of its response to climate change are very critical for understanding carbon cycling. Based on Moderate Resolution Imaging Spectroradiometer data, meteorological data, and soil organic carbon data, this study examined the NEP from 2000 to 2013 and investigated how ongoing climate change affects the NEP. The study results indicate that the terrestrial ecosystems in China generally act as net carbon sinks with increasing NEP values. The western inland region and part of northeast China mainly act as carbon sources, with the NEP exhibiting an increasing trend, whereas the other regions mainly act as carbon sinks, with the NEP showing a decreasing trend across large areas of southern China, where the most obvious land degradation occurs. Homogeneity and heterogeneity co‐occur. The general pattern is that ecosystems with high biomass usually have a high NEP value, acting as high carbon sinks in relatively wet and warm environments, but have a low value and even act as carbon sources in dry and cold environments. Both moderate precipitation and temperature are essential in increasing the NEP, whereas lower precipitation and temperatures might have negative effects. Heterogeneity also widely breaks up the general pattern. Temporally, more NEP grids were positively correlated with changes in temperature and showed stronger correlation coefficients with temperature than with precipitation, but the grids showing a significant correlation with these factors accounted for only a small proportion of the total for both precipitation and temperature.

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“…The diagonal entries indicate the amount of LULC categories that remained unchanged between Time 1 and Time 2, whereas the off-diagonal elements account for a conversion from one class to another LULC classes [85,86]. The change detection matrix was further analyzed in order to calculate gain, loss, persistence, net change, total change, swap, and gain to persistence, loss to persistence, the net change to persistence for each LULC category between Time 1 and Time 2 [85][86][87]. The loss column represents the amount of loss for a LULC category i between Time 1 and Times 2, while the gain row indicates the amount of gain for a LULC category j between the same periods [85].…”

Section: Lulcc Analysismentioning

confidence: 99%

Effect of Land Use and Land Cover Change on Soil Erosion in Erer Sub-Basin, Northeast Wabi Shebelle Basin, Ethiopia

Woldemariam

Harka

2020

Land

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Land use and land cover change (LULCC) is a critical factor for enhancing the soil erosion risk and land degradation process in the Wabi Shebelle Basin. Up-to-date spatial and statistical data on basin-wide erosion rates can provide an important basis for planning and conservation of soil and water ecosystems. The objectives of this study were to examine the magnitude of LULCC and consequent changes in the spatial extent of soil erosion risk, and identify priority areas for Soil and Water Conservation (SWC) in the Erer Sub-Basin, Wabi Shebelle Basin, Ethiopia. The soil loss rates were estimated using an empirical prediction model of the Revised Universal Soil Loss Equation (RUSLE) outlined in the ArcGIS environment. The estimated total annual actual soil loss at the sub-basin level was 1.01 million tons in 2000 and 1.52 million tons in 2018 with a mean erosion rate of 75.85 t ha−1 y−1 and 107.07 t ha−1 y−1, respectively. The most extensive soil loss rates were estimated in croplands and bare land cover, with a mean soil loss rate of 37.60 t ha−1 y−1 and 15.78 t ha−1 y−1, respectively. The soil erosion risk has increased by 18.28% of the total area, and decreased by 15.93%, showing that the overall soil erosion situation is worsening in the study area. We determined SWC priority areas using a Multi Criteria Decision Rule (MCDR) approach, indicating that the top three levels identified for intense SWC account for about 2.50%, 2.38%, and 2.14%, respectively. These priority levels are typically situated along the steep slopes in Babile, Fedis, Fik, Gursum, Gola Oda, Haramaya, Jarso, and Kombolcha districts that need emergency SWC measures.

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Land Cover Transition in Northern Tanzania

Cited by 23 publications

References 71 publications

Impacts of land cover transitions on surface temperature in China based on satellite observations

Impacts of land cover transitions on surface temperature in China based on satellite observations

Land degradation monitoring using terrestrial ecosystem carbon sinks/sources and their response to climate change in China

Effect of Land Use and Land Cover Change on Soil Erosion in Erer Sub-Basin, Northeast Wabi Shebelle Basin, Ethiopia

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