Land Use And Land Cover In Ethiopia Environmental Sciences Essay

rural commonwealth Use And let down Cover In Ethiopia Environmental Sciences EssayThis research testament local anaestheticise on macrocosm dynamics and personal set up on the state of instinctive re inceptions and processes of degradation in the humbled imseparate of Ethiopia. galore(postnominal) developing countries are employ their inherent re microbes at rates faster than the cancel rate of replacement to hold up their fast world growth to submit foreign ex kind and to name raw materials for industries. Millions of poor farmers destroy vast tracts of forest adds to make dwell for inelegant activities that attain set up sufficient food for their ho functionhold, community or country (Bartelmus, 1986 Drechsel et al., 2001 McNeill, 2006 Appiah et al., 2007).Agriculture, which dominates much or less of the African economies, has been the main snap of national growing plans of brasss. In line with this, a variety of vote down policies and reforms d eport been instituted in many African countries in an effort to improve the performance of the plain sector, but not al counsels with success. In most countries, traditional agricultural practices and low productivity still persist despite write up reforms and bad monetary investments to transform the sector. Where agricultural innovations contrive been introduced, short-term successes urinate very much been followed by long- term environsal troubles (Miay, 1976 Drechsel et al., 2001 Appiah et al., 2007).The most frequently occurring and rapidly accelerating problem cogitate to agricultural activities is environmental degradation. In practice, most agricultural programs feed to place a slow accent on increasing product and less on alternative management and conservation. As a firmness, the amicable and environmental implications of people and primer- drug ab exercising and get down lot changes are overlooked until a serious physical deterioration occurs (Miay, 1 976 Fischer, 1993 Davol, 1998 Makhanya, 2004 Long et al., 2006).In Ethiopia, agriculture is the largest source of employment and foreign exchange it supports whatsoever 85% of the working force, produces virtually 50% of the gross domestic product and generates over 90% of the countrys merchandise earnings. Beca exercise the sector is overwhelmingly dominated by subsistence endeavors get to degradation is wide prevalent (Dejene, 1990). This problem is get ahead exacerbated by the heavy concentration of macrocosm and economic activities on climatically-favored high prop up scopes of the country. The high destroy areas (defined as bolt downs supra 1,500 meters above sea level) constitute 40% of the nub area of the country, 66% of the total cultivated fine-tune, 90 % of its arable pop and nearly 45% of the browse state, and support ab out(a) 80% of the livestock and 88% of human tribe. As a result, these areas happen to be the most vulnerable and degraded physiographic r egions in the country (Bruene, 1990 Woldemariam, 1990 McCann, 1995). As a consequence of cosmos growth and heavy economic activities, ground suitable for cultivation is running short in much of the high fine-tune regions of the country.As a result, young years drive seen creation relocation to the sea-level areas where world size and densities are comparatively low. However, this has brought about convoluted changes in the socio-cultural, economic and ecological conditions in the Beles valley of Metekel, northwesterly Ethiopia (Abute, 2002), one of the areas to which existence shifts have taken place. Yntiso (2003) and Abute (2002) document these changes by indicating how massive resettlements in the 1980s have impoverished the indigenous community and created hostility among ethnic sort outs in Beles valley, Metekel. These studies, however, give much less emphasis to creation dynamics and make for pulmonary tuberculosis of goods and services and ground clear up c hanges resulting from these changes. Assessing ongoing changes in population dynamics and territory use and land vexcut in this region is vital given the fact that more schooling endeavors (for example, hydropower generation, irrigation, and mechanized agriculture) are being undertaken by the governing body. At three percent, this area as well has one of the fastest population growth rates in the country (CSA, 2008). The consequences of all this on natural imaginations degradation and management take up further investigations.Review of Related LiteratureThis section reviews existing writings on population and environment interactions and the effects of these interactions. In doing so various(a) perspectives on how population dynamics affects the environment are reviewed.Views on universe of dis traverse Dynamics and the EnvironmentThe subject field of the size, growth and characteristics of human population has a long history. Yet, there is no consensus pertaining to its consequential effects on the environment and the ways to solve the resultant problems (Jolly, 1994 Stock, 1995). Population experts offer four disparate perspectives (models) regarding population dynamics, consequences and ways of overcoming its effects. These perspectives include the models of classical economists, neo-classical economists, dependency and talk scathe variables (Jolly, 1994 Stock, 1995 Kalipeni, 1996). neoclassical economists deliberate that high population growth results in environmental degradation. Their hypothesis is grounded on the work of economist Thomas Robert Mal and so (1873) who argued that population grows faster than food supply. Furthermore, he suggests that humans have to take actions to reduce fertility. Consequently he suggested abstention from sexual intercourse and chastity. If population growth is left unchecked, he argued, natural checks such as famine, pestilence, and war impart reduce population growth. Today, neo-Malthusian population e xperts like Paul Ehrlich and Garrett Hardin (cited in Sherbinin et al., 2007) and others believe that Malthus prophecy is currently happening in Africa where the pace at which population is growing is high than the rate at which the economy is growing (Jolly, 1994 Stock, 1995 Muriithi, 1996 Panayotou, 2000 Drechsel et al., 2001 Perz et al., 2005). These experts suggest fertility drop-off as the describe to pr eventideting environmental destruction and to improve living standards (Jolly, 199472 Sherbinin et al., 2007).Neo-classical economists, on the other hand, stress that inefficient food market and inappropriate price policy as the causes of environmental degradation (Jolly, 1994 Sherbinin et al., 2007). In other words, inapt government policies are responsible for this problem. Jolly (199466) and Panayotou (2000) suggest a course of actions like reducing subsidies that encourage over exploitation of resources, make concourse to pay full costs of victimization common resour ces that make the market more efficient and effective as the best way to get well this problem.The proponents of the dependency model, on the other hand, argue that uneven distribution and inspiration of resources is more culpable than population size and growth. In this case genuine distribution and consumption of resources is the obvious solution to tackle the problem (Jolly, 1994 Stock, 1995 Kalipeni, 1996 Perz et al., 2005 Sherbinin et al., 2007). immediate causesProximate causesOther FactorsEnvironmental FactorsSoil quality, topography, etcBiophysical DriversFires, droughts, floods, etcSocial EventsSocial dis auberge, jerky displacement, abrupt policy shifts, etcWood extractionFuel wood wood coal ProductionInfra involved body part ExpansionTransportMarketSettlementsPublic inspection and repairPrivate CompanyAgricultural ExpansionPermanent Cultivation alter CultivationCattle RanchingColonizationDemographic factorsNatural step-upMigrationPopulationdensityPopulationdistribu tionCultural FactorsPublic attitudes and beliefs case-by-case crime syndicate behavior (un pertain about resources, rent-seeking) insurance policy and Institutional FactorsFormal Policies(economic organic evolution, credit)Policy temper(Mismanagement)Property rightsTechnological FactorsAgro Technical Change( Intensification)Agricultural work factorEconomic FactorsMarket growth CommercializationEconomic structureUrbanizationPrice make ups, etcProximate and fundamental Causes of deforestation (Source Geist Lambin, 2002, jut out 1, p. 3)Underlying CausesFigure 1.1 Conceptual framework of Proximate and Underlying Causes of land use and land coating changes (Source Geist Lambin, 2002, figure 1, p. 3)Theorists known as the proximate determinists argue that high population growth alone does not cause environmental degradation. They need that population increase should be linked to other factors to result in environmental degradation. In other words, high population increase ag gravates resource loss in conjunction with other factors like level of technology, consumption, institutions, poverty and policies (Jolly, 1994 Turner, Meyer and Skole, 1994 Barrow, 1995 Lambin et al., 2001Carr et al., 2005 Perz et al., 2005 Harte, 2007 Pabi, 2007 Sherbinin et al., 2007).In sum, there is no simple co-relation betwixt population dynamics and environmental degradation. It is, however, very important to consider critically the kin between environment and population and the resultant impact from demographic and non-demographic variables as indicated in the conceptual framework below (Figure 1.1).Causes of Land Use and Land Cover ChangesThis section reviews existing literature on causes of land use and land upside changes. In doing so, various empirical findings on causes of land use and land polish off changes worldwide including Ethiopia are reviewed.Land use and land widen changes are the results of the interplay of many factors. The simple assumption that land u se and land pinnacle changes have been ca apply by few factors do not hold true. Rather, many interrelated complex factors best pardon the processes of land use and land go along changes (Lambin et al., 2001 Lambin et al., 2003 Liverman et al., 2008). The same authors further contend that Identifying the causes of land-use change requires an apprehension of how people make land-use decisions and how various factors interact in limited contexts to influence decision making on land use (Lambin et al., 2003216). Decision making processes in turn are affected by variant factors prevailing at local, regional and global level.Different researchers have put the reasons for land use and land tiptop changes in ii broad categories as proximate (direct) and underlying (indirect or root causes) (Geist Lambin, 2002 Liverman et al., 2008). Lambin et al., (2003) further contend that proximate factors occur at local or household/farm level whereas underlying factors emanate from regional, country or even global level. As a consequence, proximate variables are context and region specific while the root causes on the other hand will be the result of complex political, economic and social conditions occurring at a distance. Farm level analysis allows to breed proximate causes and to interpret them in reference to underlying causes (Mottet et al., 2006). Long, et al., (2007) identify industrialization, urbanization, population growth, and Chinas economic reforms as major factors of land use changes in Kunshan. Another study in Zimbabwe in like manner recognized that pressure for agricultural land, building materials and fuel wood triggered land use and land go changes (Mapedza et al., 2003). The study by Brink and Eva (2009) as well reveals that there is a world-shattering gradation of land use / bear on change in Sub-Saharan Africa. These changes have resulted due to manmade and natural drivers related to high rate of population increase, economic development and globalization on one hand and natural hazards such as floods, landslides, drought and climate change on the other end of the spectrum (Brink and Eva, 2009).The study conducted in Afar, Ethiopia, determine more than fifteen factors that cause land use and land cover changes (Tsegaye et al., 2010). The driving forces documented in the study include migration from nearby highlands triggered by drought, land tenure and government policy changes only to mention some (Tsegaye et al., 2010). Another study in the primeval Rift Valley of Ethiopia reveals that population growth, decline in agricultural productivity, land tenure change and mobile pelting have the major drivers of land use and land cover in the area (Garedew et al., 2009). The land use and land cover dynamics study in the northwestern Ethiopia suggests that population dynamics, exiting land tenure, institutional and socioeconomic conditions should be critically examined to put in place any land related policy (Zeleke Hurni , 2001).In sum, the factors that affect land use and land cover changes are complex and at sequence interrelated. Thus, the study of land use and land cover changes demands a careful investigation into these complex and interrelated factors at local, national and global level as indicated in the conceptual framework above (Figure 1.1).Statement of the ProblemThe impact of population dynamics, especially the absolute increase in human numbers separately year due to natural increase and/or mobility, plays a all-important(a) role in resource degradation. As population continues to expand in number, it exerts increased pressure on eco-system and natural resource stocks. One of the reasons for the shoplifting size of land holdings as well as the degradation of forest, soil, and water supply resources in many areas of the developing world is the direct result of rapid population growth (Arnon, 1987 UNFPA, 1991 Drechsel et al., 2001 Etter et al., 2006 Pabi, 2007, Boone et al., 2007, Ng uyen, 2008). Resources have to be created to meet the changing and lift demands of the people. The larger the number of people, the greater the density and the more will be the pressure on resources (Onwuka, 2006). Various studies indicate that there is a attach resource loss because of population pressure in Sub-Saharan Africa (Drechsel et al., 2001), eastern Madagascar (Kull, 1998), China (Long et al., 2006) and Dominican Republic (Sambrook et al., 1999). Turner et al. (1994) also contend that land cover change stemming from human land uses represents a major source and a major element of global environmental change. The same authors accent that human actions are altering the terrestrial environment at uncommon rates, magnitudes, and spatial scales (1994).In Ethiopia, too, fast population growth and uneven spatial distribution of population have been affecting resource use, leading to its sluggish deterioration. Rapid population growth (currently exceeding 2.6 % per annum) i s resulting in increased demands for supererogatory arable land which is surely not adequately available (Mamo, 1990 CSA, 2008, Teferra, 2009). As Mamo and Teferra (1990, 2009) argue population growth leads further to unnecessary natural resource exploitation such as forest clearing both for work and settlement purposes, short fallow periods, and land fragmentation which has a direct perverse effect on agricultural output.Most of the population of Ethiopia is colonized on the highlands, with the northern and central highlands being the oldest settled regions of the country. These regions are the most exploited and environmentally degraded areas in the entire country. Due to the dearth of arable land, land is continuously utilized year after year, thus giving diminishing yields (Kebede and Jacob, 1988 Assefa and Zegeye, 2003). This condition, coupled with the occurrence of recurrent drought and famine, has hale people from the northern and central highlands to move to the southe rn, southwestern and northwestern parts of the country for resettlement in both planned and spontaneous ways. These resettlements have resulted in population increase and consequent environmental and of natural resources depletion or degradation (Assefa and Zegeye, 2003 Paterson, 2007).Resulting from the north-south move, a noticeable population change has gradually prevailed in the Metekel region, leading to increased pressure on existing resources. According to Yntiso (2003), resettlement has caused rapid changes in both the distribution and types of land cover and land-use in Metekel order. Due to increased population resulting from the resettlement program, vegetation cover has been unclutter and replaced by crop lands, the length of fallow period has been reduced and, more importantly, land degradation, deforestation and cultivation of marginal lands have become the order of the day (Dejene, 1990 Mamo, 1994 Yntiso, 2003). Furthermore, the livelihoods of the indigenous people (hunting, gathering, shifting cultivation and fishing) have substantially decreased due to significant land use and land cover changes (Abute, 2002 Yntiso, 2003).Recent studies have also revealed that due to improvements in socio-economic conditions (for example, new locution of an all-weather road and government-led development programs), population size has increased in the northwest lowlands of Metekel. Land-use patterns have shown changes in this area as well. Migration from highland to lowland areas, voluntary as well as involuntary, has caused changes in the socioeconomic traffic between migrants and the indigenous people by increasing conflict between them (Pender, 2001 Taddese, 2001 Yntiso, 2003 Patterson, 2007).Over the past several years, a number of studies related to resource degradation have been carried out in many places of the Ethiopian highlands. However, correspondent studies related to population dynamics and land use and land cover changes in lowland areas a re either scanty or non-existent. The above discussions testify that there is a significant land use and land cover changes in the study area since the 1980s. An assessment of the processes and factors leading to population dynamics and the resultant land use and land cover change becomes indispensable and cartridge holderly to promote sustainable economic, social and ecological development in the study area in particular and the country in general. Such a study would also serve as a basis to influence development interventions and policy discussions related to population changes and natural resources degradation and management.Objectives of the StudyThe main objective of this thesis research is to check up on the impact that demographic and non-demographic variables have on land use and land cover and their effects on population and natural resources in Mandura regularise, northwest lowland of Ethiopia. The study also intends to suggest plausible policy option(s) to engineer t he consequential problems in the study area. The study would include the following specific objectivesTo analyze the extent and patterns of population dynamics since the 1950sTo investigate land use and land cover changes since the 1950s in the study areaTo examine the perception of people on trends and drivers of land use /cover changes and population dynamics in the study areaTo investigate the effects of policy changes on land use and land cover changes and population DynamicsTo analyze livelihood changes since the 1950s in the study area. inquiry QuestionsBased on the stated objectives above, the principal research questions of this study, therefore,are how have demographic and non-demographic factors heighten land use and land coverchanges in Mandura district since the 1950s? What are the effects of such changes on thepopulation and the natural resources of the study area? Other sub-research questions willincludeWhat demographic changes had been taken place since the 1950s?What are the extents of land use and land cover changes since the 1950s?What are the major drivers of land use and land cover changes?How do major actors at different levels perceive the changes in land use land cover and population?How have government policies (during the three regimes) intensified land use and land cover changes population dynamics?How have land use and land cover and population dynamics contributed to livelihood changes since the 1950s?Development Relevance for Ethiopia/AfricaIn the recent past, planned and spontaneous population relocation has taken place in theEthiopian lowlands where population size and densities are relatively low, including the study area of this research. Such relocations have undoubtedly brought about complex changes in the local economic, socio-cultural and ecological conditions. These complex changes in the study area have move me to undertake this research. The study will contribute to the development efforts in Ethiopia in particular an d in Africa in general on the ground thatMany African countries are experiencing rapid and accelerating population growth which has induced adverse effects on the environment. This study will thoroughly assess the degree and extent of population-induced adverse environmental changes and will attempts to provide manageable solutions to address the problem.Future development endeavourers in Ethiopia are shifting from the highlands to the lowlands where there exists low population pressure and ample agricultural land. This study will generate relevant schooling that will contributes to the development plans of the country.The lowland areas of Ethiopia are the least(prenominal) studied parts as compared to highlands. The companionship gained from this study could serve as a guide for future research/development activities.Methodology explanation of the Study AreaThe study will be conducted in Mandura district, Metekel zone of Benshangul-Gumuz Regional state. Mandura is situated betw een 100.50.743 N and 110.10.766 N and 360.02.48E and 360.32.42E longitude, about 546 kilometers extraneous from Addis Ababa, the capital of Ethiopia. The total area of the district is about 1,045 square kilometer. physiologically it is part of the northwestern lowlands where many development endeavors are currently pickings place. The study will be undertaken in the district where the land use and land cover change is significantly high (Figure 1. 2).According to the ternion Ethiopian national numerate, Metekel Zone has a total population of 235, 638 of which Mandura district constituted 15.52 % (36,568 people) (CSA, 2008). Climatically the study area is characterized by the following features. It receives rainfall from March to September. The mean annual maximum and minimum temperatures are 320C and 160C severally (Kebede, 2006).With regard to some bio-physical information, the study area has different types of woodlands and the soil is more often than not classified as vertis ols (black clay soils), Nitisols (red or reddish brown laterite soils) and intermediate soils of a blackish brown (Kebede, 2006).selective information Collection and AnalysisThe triangulation mixed method specifically the simultaneous triangulation approach is selected as research design. The concurrent mixed approach is a kind of research design where quantifiable and qualitative information are gathered at the same term (Creswell, 2003 Gay et al., 2009). Creswell (2003)) and Gay et al., (2009) further contend that this method is used by the researcher in an attempt to substantiate, cross-validate, or confirm findings within a single study. The rationale behind selecting this approach is the research under affection (population-environment interaction and identifying factors driving land use and land cover changes) is complex and needs to be examined from various angles. In addition, it demands the employment of diverse info collection instruments to capture as many factors as possible that formulate land use and land cover changes in the study area. Furthermore, this strategy enables the researcher to collect information in a short time period (Creswell, 2003 Gay et al., 2009). To this end, both quantitative and qualitative information will be collected simultaneously using questionnaire survey, focus theme discussion, intensifier personal interviews, and knit observations. Details are given belowData for this study will be obtained through questionnaire survey, interpreting remotely comprehend images, and aerial photograph interpretation to generate information on land use and land cover changes over time in the study area. Other researchers have used similar techniques (Tegene, 2002 Makhanya, 2004 Appiah et al., 2007 Rain et al., 2007 Sherbinin et al., 2007 Ningal et al., 2008 Salehi et al., 2008, Garedew et al., 2009). Also data pertaining to population dynamics, livelihood changes over time, causes and consequences of land use and land co ver changes will be obtained using questionnaire survey, intensive interviews, focus group discussions, and field observations. Inherently, a study of resource- population interactions and land use and land cover changes need the employment of diverse methods so as to find out the many factors that involve in land use and land cover changes (Ewel, 2001 Tegene, 2002 Bewket, 2003 McCusker, 2004 Campbell et al., 2005 Long et al., 2006).Published and unpublished documents produced by governmental and non-governmental organizations will provide secondary data at different jurisdictional levels. For instance, the Central statistical Agency (CSA), various regional state documents and FAO/UNDP provide information on land resources and land-use patterns.The SPSS software will be used for statistical analysis. below are details of data collection and methods of analysis for each objective of the research.Objective 1 Analysis of population dynamics over timeData related to population dynamics are obtained from publications generated by the Central Statistical Agency (CSA). These publications provide information on population size, growth, density, migration and urbanization over time at zonal and district levels. The national census results of the 1984, 1996 and 2007 are relevant in this regard. In depth interviews and focus group discussions will supplement this information.Three study sites will be selected for this investigation. The sites infusion is based on the degree of human interference assessed in terms of high degree of land use and land cover changes in comparison with other sites in the region. A Stratified random try out technique will be used to select households for the survey. The selection involves dickens steps starting, households will be categorized into two strata indigenous households and migrant or settler households. Second, household heads to be interviewed will be at random selected from each stratum.A total of 210 households (70 from eac h study sites 35 for each stratum) will be randomly selected and surveyed using structured and pre-tested questionnaire. A take in size of 35 is believed to be adequate for analysis because with a pattern size of 30 or more observations, it is possible to have estimates of verity from the mean (Clark and Hosking, 1986 Cohen, Manion and Morrison, 2000). Simple frequency and contingency tables will be used to analyze the data. A group containing 8-10 elderly people with deep knowledge of the study sites will be selected for an in-depth interview and focus group discussions. qualitative data will be analyzed following procedures given below. prime(prenominal) the data collected will be described and classified. Then the data will be connected with each other depending upon their similarities and differences. Classification is bear on with identifying coherent classes and connection on the other hand involves the identification and commiserateing of the relationships and associati on between different classes (Kitchin Tate, 2000235).Objective 2 Land use and land cover changesLand use and land cover changes will be assessed by analyzing aerial photographs of different time periods (1950s and 1980s) using ArcGIS. arena visits will be carried out to reinforce the accuracy of the interpretation. Remotely sense images will also be used to assess the current land use and land cover changes. Questionnaire surveys, in depth interview and focus group discussions will be arranged to generate additional information and to strengthen data generated from aerial photographs and remotely sensed images.To properly understand land use and land cover dynamics, identification of in bloodsucking (explanatory) and dependent variable is crucial. Accordingly, the separate (explanatory) variables will be population dynamics evince as change in population size, growth rates, density, migration and settlement expansion. Additionally, government policies, existence of an all-weath er road famine and drought will also be used as non-demographic explanatory variables. On the other hand, changes in proportion of cultivated land, changes in forest cover (bamboo and thickets), grasslands, and expansions of arable land will be dependent variables used to analyze land use and land cover dynamics. The data will be analyzed using simple frequency tables, cross tabulation and correlation coefficient to see whether or not there exists a relationship between the dependent and independent variables. Multivariate regression analysis is chosen (a) to determine the existence of significant relationships between demographic and non demographic factors and land use and land cover changes and (b) to assess the possibility of obtaining predictions from the equation. In addition, the identified variables mean are compared using the cross tabulation method. Correlation coefficients will be employed to figure out the existence of a relationship between demographic and non-demograph ic variables and land use and land cover changes. Multivariate analysis by way of discriminate analysis will be employed to ascertain the key factors determining land use and land cover changes in the study area. Focus group discussion, mapping, Semi-structured interview and other participatory methods will be employed to ascertain information gained from aerial photograph interpretation. These methods can give deep instinct about the timing and causes of land use and land cover changes than aerial photo analysis alone (Mapedza et al., 2003).Objective 3 Investigating perception of people on trends and drivers of land use /cover changes and population dynamicsThis objective attempts to figure out peoples perception of the possible causes of land use and land cover changes. This can be reach by generating information through questionnaire surveys, in depth interviews and focus group discussions with, indigenous people, migrants, local experts and policy makers at different jurisdict ional levels. The data will be analyzed using simple frequency tables, cross tabulation and correlation coefficient to find out if differences exist between the views of different actors on land use and land cover changes and population dynamics. qualitative data will be analyzed following procedures given below. First the data collected will be described and classified. Then the data will be connected with each other depending upon their similarities and differences. Classification is concerned with identifying coherent classes and connection on the other hand involves the identification and understanding of the relationships and association between different classes (Kitchin Tate, 2000235).Objective 4 Investigating effects of policy changes on land use and land cover and population dynamicsOne of the issues this study will try to investigate is effects of go