• 제목/요약/키워드: land resources

검색결과 1,908건 처리시간 0.013초

Classification and Spatial Variability Assessment of Selected Soil Properties along a Toposequence of an Agricultural Landscape in Nigeria

  • Fawole Olakunle Ayofe;Ojetade Julius Olayinka;Muda Sikiru Adekoya;Amusan Alani Adeagbo
    • Journal of Forest and Environmental Science
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    • 제39권3호
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    • pp.180-194
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    • 2023
  • This study characterize, classify and evaluates the function of topography on spatial variability of some selected soil properties to assist in designing land management that support uniform agricultural production. The study site, an agricultural land, was part of the derived savanna zone in southwest Nigeria. Four soil profile pits each were established along two delineated toposequence and described following the FAO/UNESCO guidelines. Samples were collected from the identified genetic horizons. Properties of four soil series developed on different positions of the two delineated Toposequence viz upper, middle, lower slopes and valley bottom positions respectively were studied. The soil samples were analysed for selected physical and chemical properties and data generated were subjected to descriptive and inferential statistics. The results showed that soil colour, depth and texture varied in response to changes in slope position and drainage condition. The sand content ranged from 61 to 90% while the bulk density ranged between 1.06 g cm-3 to 1.68 g cm-3. The soils were neutral to very strongly acid with low total exchangeable bases. Available phosphorus value were low while the extractable micronutrient concentration varied from low to medium. Soils of Asejire and Iwo series mapped in the study area were classified as Typic isohyperthermic paleustult, Apomu series as Plinthic isohyperthermic paleustult and Jago series as Aquic psamment (USDA Soil Taxonomy). These soils were correlated as Lixisol, Plinthic Lixisol and Fluvisol (World Reference Based), respectively. Major agronomic constraints of the soils associations mapped in the study area were nutrient availability, nutrient retention, slope, drainage, texture, high bulk density and shallow depth. The study concluded that the soils were not homogenous, shows moderate spatial variation across the slope, had varying potentials for sustainable agricultural practices, and thus, the agronomic constraints should be carefully addressed and managed for precision agriculture.

Molecular Identification of Haemadipsa rjukjuana (Hirudiniformes: Haemadipsidae) in Gageo Island, Korea

  • Won, Sohyun;Park, Bae Keun;Kim, Baek Jun;Kim, Hye Won;Kang, Jun Gu;Park, Tae Seo;Seo, Hong Yul;Eun, Ye;Kim, Ki Gyoung;Chae, Joon Seok
    • Parasites, Hosts and Diseases
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    • 제52권2호
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    • pp.169-175
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    • 2014
  • There are 60 species of blood-feeding land leeches, 50 species belonging to the family Haemadipsidae and 10 species belonging to the family Xerobdellidae. Despite recent papers on the land leeches, their taxonomic identification is not fully understood, especially at a species level. In Korea, there have been no historical records of the terrestrial leeches, but recently an unrecorded blood-feeding land leech was discovered at Gageo-do (Island), Korea. Molecular analysis was used to identify the species of 29 leeches collected from Mt. Dock-Sil in Gageo-do. Conventional PCR was conducted using nuclear 18S rRNA and mitochondrial cytochrome c oxidase subunit 1 (CO1) genetic marker. The 18S rRNA sequences revealed that the leeches share 99.9% identity with Haemadipsa rjukjuana (inhabiting Taiwan), and the CO1 sequences revealed that the leeches are very close to H. rjukjuana (inhabiting Taiwan). The CO1 sequences were separated into 2 categories, 1 with 94.6% and the other with 94.3% similarity to the H. rjukjuana L00115A (inhabiting Taiwan). This new finding of the land leech is the first record in Korea. In addition, the north range of the distribution of the blood-feeding leech (Hirudiniformes: Haemadipisidae) should be reconsidered including Korea.

농지-임야 유역의 비점원 발생 BOD 부하의 추정 (Estimation of BOD Loading of Diffuse Pollution from Agricultural-Forestry Watersheds)

  • 김건하;권세혁
    • 한국물환경학회지
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    • 제21권6호
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    • pp.617-623
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    • 2005
  • Forestry and agricultural land uses constitute 85% of Korea and these land uses are typically mixed in many watersheds. Biological Oxygen Demand (BOD) concentration is a primary factor for managing water qualities of the water resources in Korea. BOD loadings from diffuse sources, however, not well monitored yet. This study aims to assess BOD loadings from diffuse sources and their affecting factors to conserve quality of water resources. Event Mean Concentration (EMC) of BOD was calculated based on the monitoring data of forty rainfall events at four agricultural-forestry watersheds. Exceedence cumulative probability of BOD EMCs were plotted to show agricultural activities in a watershed impacts on the magnitude of EMCs. Prediction equation for each rainfall event was proposed to estimate BOD EMCs: $EMC_{BOD}(mg/L)=EXP(0.413+0.0000001157{\times}$(discharged runoff volume in $m^3$)+0.018${\times}$(ratio of agricultural land use to total watershed area).

항공사진을 이용한 경안천 하천형태 및 하천부지 변화추세 분석 (Analysis of River Channel Morphology and Riparian Land Use Changes using Aerial Photographs)

  • 박근애;이미선;박민지;김현준;김성준
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2004년도 학술발표회
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    • pp.458-462
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    • 2004
  • This study is to trace the change of stream shape using the past series of aerial photographs and compare the land use changes of inland along the stream. For the Gyeong-an national stream, aerial photographs of 1966, 1981 and 2000 was selected and ortho photograph was made with RMSE of 1.05, 0.54, 0.72 pixels, respectively. As apparent changes of the stream, the consolidated reaches of stream with levee construction were straightened and their stream width widened. Especially the stream width of inlet part of Paldang lake was widened almost twice because of the rise of water level by dam construction in 1974.

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식생의 영향을 고려한 울산지역의 중규모 지역기상장에 관한 연구 (Numerical Analysis of Meso-Scale Circulation with Inclusion of a Layer of Vegetation over Ulsan Area)

  • 이성대
    • 한국수자원학회논문집
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    • 제30권2호
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    • pp.119-129
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    • 1997
  • 울산지역의 해륙풍장을 해석하기 위해 3차원 중규모 지역기상 수치모형을 개발하여 흐름장의 변동을 수치해석하였다. 식생의 영향을 고려한 지표면 열수지모형을 이용하여 지표면의 온도 및 습도를 결정하도록 하였다. 그리고 접지층에서의 연직방향 확산계수는 Businger의 모형을, Eckman층에서는 Yamada의 난류 closure모형을 사용하여 계산하였다. 그 결과 울산지역의 해륙풍장의 거동특성을 해석하는데 있어서 본 모형은 효과적임을 알 수 있었다.

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Satellite monitoring of land and vegetation and its potential application in urban sustainability

  • Feng, Xue-zhi;Ramadan, Elnazir
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.78-81
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    • 2003
  • The present study illustrates a method for monitoring the urban vegetation around Shaoxing city, Monitoring spatiotemporal changes in urban areas will become increasingly important as the number and proportion of urban residents continues to increase. The synoptic view of urban land cover provided by satellite and airborne sensors is an important complement to in situ measurements of physical, environmental and socioeconomic variables in urban settings. The results obtained have revealed a notable change in the vegetation cover in and around the City premises. In this study, we discussed methodology for measurement of urban vegetation and vegetation distributions based on band ratioing in Shaoxing city using Land sat TM imageries. A systematic analysis of the spatiotemporal dynamics of vegetation in urban areas is required to ensure a healthy sustainable environment.

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Application of Random Forests to Assessment of Importance of Variables in Multi-sensor Data Fusion for Land-cover Classification

  • Park No-Wook;Chi kwang-Hoon
    • 대한원격탐사학회지
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    • 제22권3호
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    • pp.211-219
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    • 2006
  • A random forests classifier is applied to multi-sensor data fusion for supervised land-cover classification in order to account for the importance of variable. The random forests approach is a non-parametric ensemble classifier based on CART-like trees. The distinguished feature is that the importance of variable can be estimated by randomly permuting the variable of interest in all the out-of-bag samples for each classifier. Two different multi-sensor data sets for supervised classification were used to illustrate the applicability of random forests: one with optical and polarimetric SAR data and the other with multi-temporal Radarsat-l and ENVISAT ASAR data sets. From the experimental results, the random forests approach could extract important variables or bands for land-cover discrimination and showed reasonably good performance in terms of classification accuracy.