scholarly journals A cross-ecosystem assessment of the effects of land cover and land use on soil emission of selected greenhouse gases and related soil properties in Zimbabwe

2010 ◽  
Vol 61 (5) ◽  
pp. 721-733 ◽  
Author(s):  
F. Mapanda ◽  
J. Mupini ◽  
M. Wuta ◽  
J. Nyamangara ◽  
R. M. Rees
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Greenhouse Gases ◽  
Soil Properties ◽  
Ecosystem Assessment ◽  
Soil Emission

scholarly journals Effects of Land Use/Land Cover Changes on Selected Soil Physical and Chemical Properties in Shenkolla Watershed, South Central Ethiopia

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Belayneh Bufebo ◽  
Eyasu Elias
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Soil Fertility ◽  
Soil Properties ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Forest Land ◽  
South Central ◽  
Effects Of Land Use ◽  
Poor Management

Land use change from natural ecosystems to managed agroecosystems is one of the main causes of soil fertility decline. Severe soil erosion caused by agricultural expansion and poor management worsened soil nutrient depletion in cultivated outfields (crop lands). This study was conducted to examine the effects of land use and land cover changes (LU/LC) on selected soil physicochemical properties in the Shenkolla watershed. A total of 40 top soil samples at 0–20 cm depth were collected from four land use/land cover types (forest land, grazing land, cultivated outfield, and cultivated homestead garden fields). The analysis of variance (ANOVA) was applied to determine differences in soil parameters among land use types. Treatment means comparison was determined using the least significant difference (LSD) at 0.05 level of significances. The result indicated that there were significant P<0.05 differences among the four LU/LC types for soil characteristics. For most parameters evaluated, the most favorable soil properties were observed in the forest land, followed by homestead garden fields, while the least favorable soil properties were found in intensively cultivated outfields. Increase in the extent of cultivated land at the expense of forest cover associated with poor management has promoted significant loss of soil quality in intensively cultivated outfields. Reducing the land cover conversion and adopting proper management practices of the soil commonly used in homestead garden fields are very crucial in order to improve soil fertility in intensively cultivated outfields.

scholarly journals Targeting area and comparing the effect of different land use/land cover (LULC) scenarios on greenhouse gases (GHGs) emission reduction (Case study: Hyrcanian forests in Iran)

2020 ◽  
Author(s):  
Hamidreza Kamyab ◽  
Zahra Asadolahi
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Greenhouse Gases ◽  
Baseline Scenario ◽  
Land Use Land Cover ◽  
Success Rates ◽  
Lulc Change ◽  
Project Area ◽  
Hyrcanian Forests ◽  
Multi Criteria Evaluation

Abstract Background Because the greenhouse gases (GHGs) emissions are known to be strongly influenced by land use/land cover (LULC) change, reducing emissions from deforestation and degradation (REDD) mechanism has attracted much attention as a strategy for understanding how different LULC scenarios effect on the GHGs emissions. Transition to other LULC types is one of the major challenges of Iran's Hyrcanian forests in Golestan province. To consider how LULC change scenarios affect GHGs, REDD project was executed in a period of 30 years (2018–2048) at intervals of 5 years. In this regard, study area was divided into the project area and leakage belt based on the Multi Criteria Evaluation (MCE) derived forest suitability map. In the baseline scenario, it was assumed that the trend of past LULC changes will continue. Results By implementation of the project scenario, some degradation activities were controlled. Project scenario was executed with different project success rates (PSR) of 90, 80, 70, 60 and 50% to examine its efficiency rate in reducing GHGs emissions. According to the results, 38206.8 hectares of forests within the project area will be destroyed by 2047 under the baseline. The destroyed area will be reach 39784.4 hectares in the leakage belt. The highest rate of forest destruction in the project area will occur in the last 5 years (1352 hectares per year), so the highest CO2 and non-CO2 emissions equal to 662655.3 tons/year and 278.94 tCO2e/year will happen in the last 5 years (2042–2047). Based on the results, reducing the PSR affected the efficiency of the project scenario. The highest and lowest rates of emissions reduction were observed respectively with PSR of 90 and 50%. Conclusions That's very important for developing countries especially Iran that are facing many challenging forest conservation decisions. This study innovated in methodology by integrating the MCE into the REDD steps. The MCE as a spatial targeting method could be applied to increase the efficiency of the REDD project, as we illustrated for the case of Hyrcanian forests.

scholarly journals Land cover changes for enhancing water availability in watersheds of Tanahun and Kaski, Nepal

2017 ◽  
Vol 10 (2) ◽  
pp. 431-448 ◽  
Author(s):  
Jay Krishna Thakur ◽  
Kapil Khanal ◽  
Kabita Poudyal
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Soil Properties ◽  
Land Use Planning ◽  
Combustion Method ◽  
Slope Aspect ◽  
Water Runoff ◽  
Land Use Classification ◽  
Clear Trend ◽  
Potential Vegetation

Abstract Land use and land cover practices play a crucial role in balancing ecosystems and maintaining water supply services, including watersheds. The main objective of the current research is to assess the land cover change (LCC) and its specific influence on water runoff in the catchment and to study specific catchment characteristics such as LCCs through the years, soil properties, and recommendations for potential vegetation. The research area is located in two main districts of Chitwan Annapurna Landscape (CHAL), in four watersheds. Soil organic carbon was measured using the dry combustion method, the land use classification was done using Geographic Information System (GIS) software and potential vegetation analysis was based on several criteria. The complex relationship between factors was evaluated to account for the effect of separate factors to determine the outcomes in the basin. The Lund–Potsdam–Jena model was used for the purpose of characterisation of the study. The clear trend of change was not observed; however, there are obvious connections between various parameters as slope, aspect, soil properties and water runoff occurring in the catchment. According to the results obtained, land use planning could consider the relationship within the catchment and factors such as soil type, peoples’ interests, etc., which are important within the catchment.

scholarly journals Response of Potential Indicators of Soil Quality to Land-Use and Land-Cover Change under a Mediterranean Climate in the Region of Al-Jabal Al-Akhdar, Libya

2021 ◽  
Vol 14 (1) ◽  
pp. 162
Author(s):  
Jamal Suliman Alawamy ◽  
Siva K. Balasundram ◽  
Ahmad Husni Mohd. Hanif ◽  
Christopher Teh Boon Sung
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Soil Properties ◽  
Soil Quality ◽  
Quality Indicators ◽  
Land Management ◽  
Rainfed Agriculture ◽  
Soil Quality Indicators ◽  
Al Jabal Al Akhdar ◽  
Effects Of Land Use

Conversion of native lands into agricultural use, coupled with poor land management practices, generally leads to changes in soil properties. Understanding the undesirable effects of land-use and land-cover (LULC) changes on soil properties is essential when planning for sustainable land management. This study was conducted in Al Jabal Al Akhdar region, Libya, to assess the effects of land-use and land-cover changes on soil quality inferred by analyzing the relative changes in 17 chemical, physical, and biological soil properties in the upper layer (0–20 cm) of disturbed and undisturbed soil systems. Soil samples were collected from 180 sampling sites with 60 from each of the three types of LULC prevalent in the study area: natural Mediterranean forests (NMF), rainfed agriculture (RA), and irrigated crops (IC). The soil properties of the two agricultural land uses were compared with soil properties under an adjacent natural forest, which served as a control to assess changes in soil quality resulting from the cultivation of deforested land. The results indicate significant reductions in most soil quality indicators under rainfed agriculture as compared to native forest land. Under irrigated agriculture, there were significant changes (p ≤ 0.05) in most of the soil quality indicators, generally, indicating a significant reduction in soil quality, except for improvement of nitrogen and phosphorus levels due to frequent fertilizer application. Our data support the notion that changes in land use and land cover, in the absence of sustainable management measures, induce deterioration of soil properties and ultimately may lead to land degradation and productivity decline.

scholarly journals Impact of land use on juvenile densities of woody plants in a West African savanna

2016 ◽  
Vol 19 ◽  
pp. 18-34
Author(s):  
Katrin Jurisch ◽  
Markus Bernhardt-Römermann ◽  
Rüdiger Wittig ◽  
Karen Hahn
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Soil Properties ◽  
Vegetation Structure ◽  
Environmental Parameters ◽  
Woody Species ◽  
West African ◽  
Initial Growth ◽  
Land Cover Types ◽  
Human Land Use

In West African savannas, human land use affects the density of woody species seedlings and saplings (juveniles) by altering the state of the physical, chemical, and biological characteristics of the land resulting in different land-cover types. We determined juvenile densities of 25 characteristic woody savanna species on non-arable sites, in fallows and in a protected area (in total 39 plots), and analyzed the influence of land use on juvenile densities. We further related the influence of land use on juvenile densities to 23 environmental parameters describing soil properties and vegetation structure. Soil acidity, particle size distribution of the soil, and vegetation structure differed between land-cover types. In terms of human impact, we detected five groups of species responding similarly to land use. Although we detected significant differences in soil properties, their direct effects on juvenile densities are less pronounced than their indirect effects. By altering the availability of resources, soil properties affect height and cover of all plants growing in the surrounding of a young woody plant, increasing the competition for light, water and nutrients during the establishment and initial growth. These effects are intensified by human land use and vary between land-cover types.

scholarly journals METHODOLOGICAL PROPOSAL FOR THE IDENTIFICATION OF MARGINAL LANDS WITH REMOTE SENSING-DERIVED PRODUCTS AND ANCILLARY DATA

2021 ◽  
Author(s):  
Jesús Torralba ◽  
Luis Á. Ruiz ◽  
Charalampos Georgiadis ◽  
Petros Patias ◽  
Rodrigo Gómez-Conejo ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Soil Properties ◽  
Soil Texture ◽  
Soil Depth ◽  
Google Earth ◽  
Marginal Land ◽  
Ancillary Data ◽  
Marginal Lands

The concept of marginal land (ML) is dynamic and depends on various factors related to the environment, climate, scale,culture, and economic sector. The current methods for identifying ML are diverse, they employ multiple parameters andvariables derived from land use and land cover, and mostly reflect specific management purposes. A methodologicalapproach for the identification of marginal lands using remote sensing and ancillary data products and validated on samplesfrom four European countries (i.e., Germany, Spain, Greece, and Poland) is presented in this paper. The methodologyproposed combines land use and land cover data sets as excluding indicators (forest, croplands, protected areas,impervious areas, land-use change, water bodies, and permanent snow areas) and environmental constraints informationas marginality indicators: (i) physical soil properties, in terms of slope gradient, erosion, soil depth, soil texture, percentageof coarse soil texture fragments, etc.; (ii) climatic factors e.g. aridity index; (iii) chemical soil properties, including soil pH,cation exchange capacity, contaminants, and toxicity, among others. This provides a common vision of marginality thatintegrates a multidisciplinary approach. To determine the ML, we first analyzed the excluding indicators used to delimit theareas with defined land use. Then, thresholds were determined for each marginality indicator through which the landproductivity progressively decreases. Finally, the marginality indicator layers were combined in Google Earth Engine. Theresult was categorized into 3 levels of productivity of ML: high productivity, low productivity, and potentially unsuitable land.The results obtained indicate that the percentage of marginal land per country is 11.64% in Germany, 19.96% in Spain,18.76% in Greece, and 7.18% in Poland. The overall accuracies obtained per country were 60.61% for Germany, 88.87%for Spain, 71.52% for Greece, and 90.97% for Poland.

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