Tendo em vista a importância de se obter um desenho urbano baseado no microclima e a possibilidade da utilização da vegetação arbórea como um elemento determinante na mitigação do desconforto urbano, este trabalho avaliou o efeito provocado por três diferentes arranjos espaciais de floresta urbana e do uso e ocupação do solo sobre a temperatura e umidade do entorno. A pesquisa foi realizada na cidade de Rio Claro/SP. As configurações escolhidas para análise foram uma avenida totalmente arborizada (S), uma praça (P) e um trecho de uma floresta periurbana (H) em áreas predominantemente residenciais com baixo gabarito de edificações. O trabalho de campo foi realizado em três dias consecutivos no período de seca e no período chuvoso. Os dados de temperatura e umidade foram obtidos por meio de registradores distribuídos ao longo de 200m nas ruas que se ramificavam para Norte, Sul, Leste e Oeste a partir do aglomerado arbóreo. As variáveis de velocidade e direção do vento foram registradas pela estação meteorológica do CEAPLA. Imagens termais do entorno das áreas foram obtidas com uma câmera termográfica. Foram aplicados questionários com os frequentadores das áreas verdes. Caracterizou-se o tecido urbano por meio de classificação supervisionada feita a partir de imagem multiespectral de alta resolução do satélite World-view 2. Polígonos circulares de 20m de raio foram gerados ao redor dos pontos onde os registradores permaneceram possibilitando correlacionar a porcentagem de cobertura com a temperatura e umidade do ponto. Mapas foram gerados no programa ARCMAP possibilitando visualizar a distribuição espacial da temperatura, amplitude e umidade relativa do ar nos locais. Nos locais do estudo nos horários mais quentes a temperatura e umidade do entorno variaram de 2 °C a 4 °C e 3 UR% a 15 UR%. Normalmente em ambientes semelhantes a variabilidade espacial da temperatura e umidade do ar não é alta e os fatores que mais influênciam essa mudança são a radiação solar e o vento local. Os valores mínimos de temperatura e máximos de umidade localizaram-se mais próximos à faixa florestada. As análises estatísticas mostram que ao considerar a variável distância a partir da área arborizada na análise geral, esta é considerada determinante na influência do aglomerado arbóreo no entorno, entretanto ao especificar a análise para cada local esta deixa de ser significativa nos locais H e P com significância somente no local S entre as distâncias 40 e 80m. Algumas coberturas, principalmente asfalto e copa de árvore, possuem correlação na variação da umidade e da temperatura dos pontos. A análise dos questionários mostra uma relação do conforto relatado com o fator de exposição ao sol. A observação qualitativa das imagens termais indica que os materiais de menor albedo como o asfalto superaquecem devido à radiação solar incidente, podendo chegar, nas horas mais quentes a 70°C, contribuindo para o desconforto. A forma mais barata e eficaz para solucionar este problema é promover o sombreamento das superfícies por meio da vegetação arbórea implantando corredores verdes na malha urbana com espécies de boa densidade foliar e copa ampla. / Given the importance of obtaining an urban design based on the microclimate and the possibility of the use of trees as a factor in mitigation of urban distress, this study evaluated the effect caused by three different spatial arrangements of urban forests and the use and occupation on soil in temperature and humidity of the environment in surroundings area. The research was conducted in the city of Rio Claro / SP. The configurations chosen for analysis were a fully forested avenue (S), a square (P) and a section from a periurban forest (H) in a area with predominantly residential buildings. Fieldwork was conducted in three consecutive days during the dry and rainy season. The air temperature and humidity were obtained by data loggers distributed over 200m in the streets that branched to the north, south, east and west from the tree cluster. The variable speed and wind direction were recorded by the meteorological station of CEAPLA. Thermal images of the surrounding areas were obtained with a thermographic camera. Questionnaires were applied to the green areas frequenters. Characterized the urban fabric by supervised classification made from multispectral image of high resolution two-view satellite World. Buffers with 20m were generated around the points where the data loggers remained possible to correlate the percentage of coverage with temperature and humidity of the point. Maps were generated in the ArcMap display showing the spatial distribution of temperature, amplitude and relative humidity at the sites. At the study sites, warmer periods in the surroundings showed temperatures and humidity ranged 2 °C to 4 °C and 3% RH to 15% RH. Usually in similar environments the spatial variability of temperature and humidity isn\'t high and the factors that influence this change are the local wind and solar radiation. The minimum temperature and maximum humidity were located closer to the forested area. Statistical analyzes show that when considering the distance variable in the overall analysis, this is considered decisive to influence of the tree cluster in the surroundings, however when the analysis is specific for each site the distance is no longer significant in the H and P sites and significant only in the place S between 40 and 80m distance. Some coverage, especially asphalt and canopy tree, show correlation between the variation of humidity and temperature points. Analysis of the questionnaires show a relationship between reported comforts with the exposure to the sun. A qualitative observation of thermal images indicate that the material of smaller reflectance as asphalt, overheat due to solar radiation, reaching, in the hottest hours at 70 ° C and contributes to discomfort. The most inexpensive and effective way to solve this problem is to promote the shading of surfaces by means of trees deploying green corridors in the urban area with good species of leaf density and ample canopy.

Thesis (MScFor)--University of Stellenbosch, 2000. / ENGLISH ABSTRACT: The windbreak species near Wolseley (WoSl and WoS3) was Casuarina cunninghamiana. The windbreak species near Saron (SaSl) and Villiersdorp (ViSl) was Eucalyptus cladocalyx and Pinus radiata respectively. A shelter effect was indicated at ViSI (from northerly winds in winter/early spring 1999), and WoS3 (from southerly winds in late spring 1999). Wind speeds were consistently reduced in the leeward sheltered zone ofViSl and WoS3. To improve the correlation of the shelter effect, mild contaminating winds (comprising approximately 28% of the total data recorded at each site) were excluded for the prediction equations of the shelter effect at each site. Compared to the more exposed wind speeds at 1.0 H to the windward side, wind speeds at ViS] were reduced by 32% at 3.0 H. Compared to 11.0 H, wind speeds at ViSl were reduced by 49 and 46% at 3.0 and 1.0 H respectively. With r2 values above 93%, accurate linear prediction equations were produced. The early barley damage assessments indicated that damage was absent or negligible at 11.1 H to the lee, and significantly highest (X < 0.05) at 13.7 H to the lee and beyond. The crop shelter effect significantly increased (p < 0.05) barley head number, transformed proportion of total barley head mass from above-ground mass, potato tuber mass, potato above-ground mass total potato tuber number, small tuber number, and disproportionate tissue damage to the windward section of each plant. For WoS3, the shelter effect became pronounced with severe south-easterly winds. The average hourly wind speeds at 3.0 H dropped from 0.9 m / s (in the previous and less windy sampling period) to 0.8 m / s, despite the sharp increase in exposed wind speeds. Compared to 13.0 H, wind speeds were reduced by 73 and 32% at 3.0 and 7.0 H respectively. With r2 values above 94%, accurate linear prediction equations were produced. The crop shelter effect significantly increased (p < 0.05) sub-sample mass of lOO grains. At WoS3, strong and sustained wind speeds caused leeward soil temperature increases of up to 4°C at 3.0 H, compared to 11.0 H. Brief strong winds (characteristic of winds at ViSl) had little effect on the soil temperature differences. At ViSl, a deviation of soil moisture content between 3.0 and 11.0 H, following periods of recharge, indicated a potential soil-moisture conservation effect in the sheltered zone. This did not occur at WoS3, due partly to a very low soil moisture content that had little scope for variation; From the crop variations and the microclimate variations at both ViS 1 and WoS3, the maximum shelter effect extended to approximately 4.0 H, followed by an intermediate zone of diminishing shelter that extended to approximately 9.0 H. For ViSl, WoS3 and SaSl, a shading effect significantly reduced yields (p<0.05) at 1.0 H from the respective northern windbreak, compared to yields at 2.0 H. At ViS 1 and WoS3, soil probes did not indicate a depletion of soil moisture resulting from the respective windbreaks. Soil moisture competition was indicated on the northern side of the WoSl windbreak with drier conditions; where soil moisture levels at 1.0 and 3.0 H diverged from a negligible level to a 22% lower level (p > 0.05) at 1.0 H, compared to 3.0H. / AFRIKAANSE OPSOMMING: Die boomsoorte wat as windbreke gedien het was Casuarina cunninghamiana naby Wolseley (WoS 1 en WoS3), en Eucalyptus cladocalyx en Pinus radiata by Saron (SaS 1) en Villiersdorp (ViS 1) respektiewelik. Beskutting is aangetoon by ViS 1 (teen noordelike winde in winter/vroee lente 1999) en WoS3 (teen suidelike winde in laat lente 1999). Windspoed is konsekwent aan die lykant sones van ViS 1 en WoS3 verminder. Ten dien einde die korrelasie van die beskuttings effek te verbeter, is matige kontaminerende winde (ongeveer 28% van die totale waargenome data by elke plek) buite berekening gelaat vir die voorspellingsvergelykings van die beskuttingseffek. In vergelyking met die meer blootgestelde windspoede by 1.0 H aan die windkant, is windspoede by ViSl met 32% verminder by 3.0 H. In vergelyking met 11.0 H is windspoede by ViSl met 49 en 46% by 3.0 en 1.0 H respektiewelik verminder. Met r2 waardes hoer as 93%, is akkurate lineere voorspellingsvergelykings verkry. Die vroee gars skade opnames het aangetoon dat geen of minimale skade by 11.1 H aan die lykant aangerig is, en beduidend die hoogste (x< 0.05) by 13.7 Hen verder aan die lykant was. Die gewas beskuttins effek het beduidende toenames (p< 0.05) in garsare, getransformeerde verhouding van totale gars-are massa van bo-grondse massa, aartappelknol massa, aartappel bo-grondse massa, totale aantal aartappeiknolle, en oneweredige weefsel beskadiging aan die windkant van elke plant tot gevolg gehad. Vir WoS3 het die beskuttingseffek beduidend geword met baie sterk suidoostelike winde. Die gemiddelde uurlike windsnelhede by 3.0 H het van 0.9/ (in die vorige en minder winderige toetstydperk) tot 0.8 m/" verminder, ten spyte van die skerp toename in blootgestelde windsnelhede. In vergelyking met 13.0 H is windsnelhede met 73 en 32% by 3.0 en 7.0 H respektiewelik verrninder. Met r2 waardes hoer as 94% 15 akkurate lineere voorspellingsvergelykings verkry. Die gewas beskuttingseffek het sub-monster massa van 100 graankorrels beduidend (p< 0.05) verbeter. By WoS3 het sterk en volgehoue windsnelhede grondtemperature aan die lykant met tot 4°C by 3.0 H verhoog in vergelyking met 11.0 H. Kortstondige sterk winde (tipiese winde by ViS1) het weinig uitwerking op grondtemperatuursverskille gehad. By ViS1 het 'n afwyking van grondwaterinhoud tussen 3.0 en 11.0 H na tydperke van aanvulling, 'n potensiele grondwaterbewaringseffek in die beskutte gebied getoon. Soortgelyke tendense het nie by WoS3 voorgekom nie, gedeeltelik as gevolg van 'n baie lae grondwater inhoud wat nie veel kon varieer nie. Van die variasies wat in gewasse en mikroklimaat voorgekom het, by beide ViSl en WoS3, kan afgelei word dat maksimum beskutting tot by ongeveer 4.0 H verleen is, gevolg deur 'n intermediere sone van verminderende beskutting tot ongeveer 9.0 H. Vir ViS1, WoS3 en SaSl het 'n skadu-effek gewasopbrengs beduidend (p< 0.05) by 1.0 H verminder in vergelyking met opbrengste by 2.0 H. By ViS 1 en WoS3 het grondwater strooiingspeilers nie 'n uitputting van grondwater as gevolg van die windbreke getoon nie. Kompetisie vir grondwater is getoon aan die noordelike kant van die WoS1 windbreek met droer toestande. Grondwatervlakke by 3.0 H het minimaal maar by 1.0 H met 22% beduidend (p> 0.05) teenoor 3.0 H gedaal.

No description available.

General Circulation Models (GCMs) are tools designed to simulate time series of climate variables globally, accounting for effects of greenhouse gases in the atmosphere. They attempt to represent the physical processes in the atmosphere, ocean, cryosphere and land surface. They are currently the most credible tools available for simulating the response of the global climate system to increasing greenhouse gas concentrations, and to provide estimates of climate variables (e.g. air temperature, precipitation, wind speed, pressure etc.) on a global scale. GCMs demonstrate a significant skill at the continental and hemispheric spatial scales and incorporate a large proportion of the complexity of the global system; they are, however, inherently unable to represent local subgrid-scale features and dynamics. The spatial scale on which a GCM can operate (e.g., 3.75° longitude x 3.75° latitude for Coupled Global Climate Model, CGCM2) is very coarse compared to that of a hydrologic process (e.g., precipitation in a region, streamflow in a river etc.) of interest in the climate change impact assessment studies. Moreover, accuracy of GCMs, in general, decreases from climate related variables, such as wind, temperature, humidity and air pressure to hydrologic variables such as precipitation, evapotranspiration, runoff and soil moisture, which are also simulated by GCMs. These limitations of the GCMs restrict the direct use of their output in hydrology. This thesis deals with developing statistical downscaling models to assess climate change impacts and methodologies to address GCM and scenario uncertainties in assessing climate change impacts on hydrology. Downscaling, in the context of hydrology, is a method to project the hydrologic variables (e.g., rainfall and streamflow) at a smaller scale based on large scale climatological variables (e.g., mean sea level pressure) simulated by a GCM. A statistical downscaling model is first developed in the thesis to predict the rainfall over Orissa meteorological subdivision from GCM output of large scale Mean Sea Level Pressure (MSLP). Gridded monthly MSLP data for the period 1948 to 2002, are obtained from the National Center for Environmental Prediction/ National Center for Atmospheric Research (NCEP/NCAR) reanalysis project for a region spanning 150 N -250 N in latitude and 800 E -900 E in longitude that encapsulates the study region. The downscaling model comprises of Principal Component Analysis (PCA), Fuzzy Clustering and Linear Regression. PCA is carried out to reduce the dimensionality of the larger scale MSLP and also to convert the correlated variables to uncorrelated variables. Fuzzy clustering is performed to derive the membership of the principal components in each of the clusters and the memberships obtained are used in regression to statistically relate MSLP and rainfall. The statistical relationship thus obtained is used to predict the rainfall from GCM output. The rainfall predicted with the GCM developed by CCSR/NIES with B2 scenario presents a decreasing trend for non-monsoon period, for the case study. Climate change impact assessment models developed based on downscaled GCM output are subjected to a range of uncertainties due to both ‘incomplete knowledge’ and ‘unknowable future scenario’ (New and Hulme, 2000). ‘Incomplete knowledge’ mainly arises from inadequate information and understanding about the underlying geophysical process of global change, leading to limitations in the accuracy of GCMs. This is also termed as GCM uncertainty. Uncertainty due to ‘unknowable future scenario’ is associated with the unpredictability in the forecast of socio-economic and human behavior resulting in future Green House Gas (GHG) emission scenarios, and can also be termed as scenario uncertainty. Downscaled outputs of a single GCM with a single climate change scenario represent a single trajectory among a number of realizations derived using various GCMs and scenarios. Such a single trajectory alone can not represent a future hydrologic scenario, and will not be useful in assessing hydrologic impacts due to climate change. Nonparametric methods are developed in the thesis to model GCM and scenario uncertainty for prediction of drought scenario with Orissa meteorological subdivision as a case study. Using the downscaling technique described in the previous paragraph, future rainfall scenarios are obtained for all available GCMs and scenarios. After correcting for bias, equiprobability transformation is used to convert the precipitation into Standardized Precipitation Index-12 (SPI-12), an annual drought indicator, based on which a drought may be classified as a severe drought, mild drought etc. Disagreements are observed between different predictions of SPI-12, resulting from different GCMs and scenarios. Assuming SPI-12 to be a random variable at every time step, nonparametric methods based on kernel density estimation and orthonormal series are used to determine the nonparametric probability density function (pdf) of SPI-12. Probabilities for different categories of drought are computed from the estimated pdf. It is observed that there is an increasing trend in the probability of extreme drought and a decreasing trend in the probability of near normal conditions, in the Orissa meteorological subdivision. The single valued Cumulative Distribution Functions (CDFs) obtained from nonparametric methods suffer from limitations due to the following: (a) simulations for all scenarios are not available for all the GCMs, thus leading to a possibility that incorporation of these missing climate experiments may result in a different CDF, (b) the method may simply overfit to a multimodal distribution from a relatively small sample of GCMs with a limited number of scenarios, and (c) the set of all scenarios may not fully compose the universal sample space, and thus, the precise single valued probability distribution may not be representative enough for applications. To overcome these limitations, an interval regression is performed to fit an imprecise normal distribution to the SPI-12 to provide a band of CDFs instead of a single valued CDF. Such a band of CDFs represents the incomplete nature of knowledge, thus reflecting the extent of what is ignored in the climate change impact assessment. From imprecise CDFs, the imprecise probabilities of different categories of drought are computed. These results also show an increasing trend of the bounds of the probability of extreme drought and decreasing trend of the bounds of the probability of near normal conditions, in the Orissa meteorological subdivision. Water resources planning requires the information about future streamflow scenarios in a river basin to combat hydrologic extremes resulting from climate change. It is therefore necessary to downscale GCM projections for streamflow prediction at river basin scales. A statistical downscaling model based on PCA, fuzzy clustering and Relevance Vector Machine (RVM) is developed to predict the monsoon streamflow of Mahanadi river at Hirakud reservoir, from GCM projections of large scale climatological data. Surface air temperature at 2m, Mean Sea Level Pressure (MSLP), geopotential height at a pressure level of 500 hecto Pascal (hPa) and surface specific humidity are considered as the predictors for modeling Mahanadi streamflow in monsoon season. PCA is used to reduce the dimensionality of the predictor dataset and also to convert the correlated variables to uncorrelated variables. Fuzzy clustering is carried out to derive the membership of the principal components in each of the clusters and the memberships thus obtained are used in RVM regression model. RVM involves fewer number of relevant vectors and the chance of overfitting is less than that of Support Vector Machine (SVM). Different kernel functions are used for comparison purpose and it is concluded that heavy tailed Radial Basis Function (RBF) performs best for streamflow prediction with GCM output for the case considered. The GCM CCSR/NIES with B2 scenario projects a decreasing trend in future monsoon streamflow of Mahanadi which is likely to be due to high surface warming. A possibilistic approach is developed next, for modeling GCM and scenario uncertainty in projection of monsoon streamflow of Mahanadi river. Three GCMs, Center for Climate System Research/ National Institute for Environmental Studies (CCSR/NIES), Hadley Climate Model 3 (HadCM3) and Coupled Global Climate Model 2 (CGCM2) with two scenarios A2 and B2 are used for the purpose. Possibilities are assigned to GCMs and scenarios based on their system performance measure in predicting the streamflow during years 1991-2005, when signals of climate forcing are visible. The possibilities are used as weights for deriving the possibilistic mean CDF for the three standard time slices, 2020s, 2050s and 2080s. It is observed that the value of streamflow at which the possibilistic mean CDF reaches the value of 1 reduces with time, which shows reduction in probability of occurrence of extreme high flow events in future and therefore there is likely to be a decreasing trend in the monthly peak flow. One possible reason for such a decreasing trend may be the significant increase in temperature due to climate warming. Simultaneous occurrence of reduction in Mahandai streamflow and increase in extreme drought in Orissa meteorological subdivision is likely to pose a challenge for water resources engineers in meeting water demands in future.

No description available.

1. In studying the effects of micro-climates on the distribution of larval ticks in the Eastern Cape Province four species were considered, namely, Boophilus decoloratus (Koch), Rhipicephalus evertsi (Neu), Amblyomma hebraeum (Koch) and Ixodes pilosus (Koch). 2. Three types of investigation were made:- i) autumn and spring surveys of the distribution of larval clusters, which were assumed to be close to positions in which egg-masses had been laid. - (Four species); ii) observations on the survival and development of eggs and engorged female ticks in microclimatically distinct field plots. - (Four species); iii) observations on the behaviour of the larvae and of the engorged female ticks. - (B. decoloratus). 3. The survey and plot data suggest that in autumn larval clusters of I. pilosus were to be found only in well-shaded situations because more exposed places were micro-climatically unfavourable to the survival of earlier stages. 4. The surveys show that in spring 1957 larval clusters of I. pilosus were to be found in unshaded, as well as in shaded, situations. 5. The survey and plot data indicate that the winter of 1957 was not favourable to the development of larvae of B. decoloratus, and that in spring new larval clusters may be expected to appear first in the warmest situations and later in the generally cooler places. 6. The plot data show that during hot and dry periods exposed situations were unfavourable to tho engorged females and eggs of all four species considered, but that during such periods these stages could sometimes survive in well-shaded places. 7. The survey and plot data show that in autumn and in spring larval clusters of B. decoloratus and R. evertsi may be present in unshaded situations. 8. The plot investigations provide little information about the distribution of larval clusters of A. hebraeum, but the survey data suggest that it is not remarkably different from that of B. decaloratus and R. evertsi. 9. There is a discrepancy in the survey and plot data: the surveys show that larval clusters of R. evertsi, and B. decoloratus were rare or absent from well-shaded situations, whereas tho plot data suggest such situations were micro-climatically favourable to larval developmcnt during the months preceding Autumn. 10. The observations on the behaviour of larvae and engorged females of B. decoloratus provide information which suggests that the behaviour of those stages may account for the rarity of larval clusters in well-shaded places. 11. The relative density of larval clusters of B. decoloratus is evidently also affected by factors other than micro-climate . The dropping- off behaviour of engorged female ticks appears to be possibly important in this.

L’occupation du sol en zone forestière de Yangambi dans la Cuvette centrale congolaise (RDC) change rapidement et la fragmentation forestière liée à l’agriculture itinérante sur brûlis est devenue l’un des processus dominant la dynamique paysagère. La présente étude s’est fixée comme objectif de suivre une approche microclimatique en transects pour déterminer la zone de lisière entre les jachères herbeuses et les forêts denses, et ce, afin de mieux comprendre les réponses des propriétés physico-chimiques du sol aux changements d’occupation du sol et à la fragmentation forestière. Deux zones les plus appréciées par les paysans pour leurs exploitations agricoles ont été choisies en fonction des unités pédologiques existantes :la série Yangambi et la série Yakonde. Des échantillons non perturbés du sol de 0-10, 10-20 cm, 20-30 cm et perturbés de 0-20 cm ont été prélevés dans les différentes occupations de sols après la détermination de la zone de lisière. Notre démarche a consisté à comparer les propriétés de sols identiques au plan de leur pédogenèse, sous jachère herbeuse, sous lisière et sous couvert forestier, de façon à quantifier l’effet de lisière sur les propriétés des sols, pour mieux connaître les conséquences édaphiques de la fragmentation des forêts par l’agriculture itinérante sur brûlis. <p>Les résultats obtenus ont montré que la zone de lisière entre les jachères et les forêts denses a une largeur de 70 m pour la série Yangambi et 68 m pour la série Yakonde. Les variations microclimatiques de la lisière en terme de température de l’air, sont intermédiaires (moyenne, minima et maxima) entre celles des jachères herbeuses et des forêts denses. La fragmentation des forêts par l’agriculture itinérante sur brûlis modifie profondément les propriétés physico-chimiques de sols dans les couches superficielles. Un des effets de changements d’occupation du sol et de la fragmentation est la présence d’horizons superficiels à texture sableuse au niveau des jachères herbeuses et des lisières forestières. La densité apparente et la conductivité hydraulique ont subit une importante dégradation sous les jachères herbeuses. A l’inverse, la lisière forestière assure une bonne structure conservatrice du sol (faible densité apparente et bonne conductivité hydraulique). Le sol des forêts denses présente des bonnes propriétés physiques et de ce fait, est pris comme référence à partir duquel les effets de dégradation physique du sol peuvent être appréciés. <p>Le potentiel chimique du sol (pH, phosphore assimilable, le taux de saturation en bases et la CECE) est meilleur au niveau des jachères herbeuses et des lisières forestières par rapport aux forêts denses suite à la pratique du brûlis qui permet de restituer au sol une fraction de la minéralomasse forestière par les cendres. Les teneurs en carbone et azote totaux du sol ont été significativement plus élevées sous les lisières forestières que sous les jachères herbeuses et les forêts denses. Les résultats de l’indice de Kamprath ont montré que, les lisières, en plus de contribuer à l’accroissement de carbone organique du sol, tendent à diminuer la toxicité aluminique de sols étudiés. A l’inverse, l’étude a mis en évidence une toxicité aluminique plus élevée sous la jachère herbeuse de la série Yangambi que sous la lisière. En parallèle, nous avons observé une baisse des teneurs en fer sous toutes les jachères et les lisières forestières. <p>Les pratiques de jachères cultivées et d’agroforesterie s’avèrent incontournables pour enrichir ces sols en matière organique, limiter l’érosion liée au brûlis afin de freiner le lessivage des nutriments, éviter le compactage du sol et assurer le maintien à long terme d’une bonne structure conservatrice du sol.<p><p>In the forest zone of Yangambi, located in the Central Congo Basin (DRC), land use is changing rapidly and forest fragmentation due to slash and burn agriculture has become one of the dominant processes of landscape dynamics. This study's main goal is to apply a microclimatic approach in transects to determine the edge area between the fallow grasslands and dense forests, and, in order to better understand the responses of the soil physico-chemical properties to changes in land use and forest fragmentation. Two most popular areas used by farmers have been selected on the basis of the existing soil units: the Yangambi and Yakonde series. Undisturbed soil samples at depths of 0-10 cm, 10-20 cm, 20-30 cm and the disturbed at 0-20 cm were collected from different the land use types after detecting the edge area. Our approach was to compare the properties of identical soils based on their genesis, under grass fallow, edge and forest cover, so as to quantify the effect of edge on the soil properties, to better understand the edaphic consequences of the forest fragmentation by slash and burn shifting cultivation. <p>The results showed that the edge area between fallow and dense forests has a width of 70 m for the Yangambi series and 68 m for the Yakonde series. Microclimatic variations of the edge in terms of air temperature are intermediate (average, minimum and maximum) between grass fallows and dense forests. The fragmentation of forests by slash and burn shifting cultivation profoundly modifies the physico-chemical properties of soils in the surface layers. One of the effects of changes in land use and fragmentation was the presence of surface layers with more sandy texture in the fallow grassland and forest edges. Bulk density and hydraulic conductivity undergo an important degradation under grass fallows. In contrast, the forest edge ensures a maintenance of the soil structure (low bulk density and good hydraulic conductivity). Dense forest soil has thus good physical properties and therefore is taken as the reference from which the effects of soil physical degradation can be appreciated. <p>The chemical potential of the soil (based on pH, available phosphorus, base saturation and CECE) is better in the grass fallows and forest edges compared to dense forests due to the practice of slash and burn which allows restoration by adding nutrients to the soil through the ashes. The carbon and total nitrogen in the soil were significantly higher under forest edges than in fallow grasslands and dense forests. The results of the-Kamprath index shows the edges, in addition to contributing to an increase in soil organic carbon, tend to decrease the aluminium toxicity of studied soils. By contrast, the study revealed a higher aluminium toxicity under fallow grassland on the Yangambi series that under the edge and the forest. In parallel, we observed a decrease in iron contents in all fallow lands and forest edges. <p>The practices of cultivated fallows and agroforestry are proving unavoidable for enriching these soils in organic material, to reduce erosion related to slash and burn in order to curb the leaching of nutrients, to avoid soil compaction and to maintain a long-term well developed soil structure.<p><p> / Doctorat en Sciences agronomiques et ingénierie biologique / info:eu-repo/semantics/nonPublished