Rural production, land use and development planning in Transkei: A critique of the Transkei agricultural development study

1992 ◽  
Vol 11 (2) ◽  
pp. 200-222 ◽  
Author(s):  
Patrick McAllister
Keyword(s):  
Land Use ◽  
Agricultural Development ◽  
Development Planning ◽  
Development Study ◽  
Rural Production

scholarly journals Strategi Pembangunan Pertanian Berkelanjutan di Pedesaan Berbasis Citra Drone (Studi Kasus Desa Sukadamai Kabupaten Bogor)

2019 ◽  
Vol 17 (2) ◽  
pp. 245
Author(s):  
Ihsan Arham ◽  
Sofyan Sjaf ◽  
Dudung Darusman
Keyword(s):  
Land Use ◽  
Rural Area ◽  
Spatial Data ◽  
Carrying Capacity ◽  
Agricultural Development ◽  
Spatial Information ◽  
Process Analysis ◽  
Development Planning ◽  
Land Availability ◽  
Land Carrying Capacity

Most of the agricultural sector activities are in rural area. Rural and agricultural development requires accurate spatial information so that accuracy in sustainable development planning can be attained. This study was aimed to determine the strategy of sustainable agriculture development planning in a rural area. This research method used a spatial data approach acquiring village imagery produced using a drone. The actual land use analysis used ArcGIS software through a participatory digitization process. Analysis of land carrying capacity using the approach of land availability and land requirements. The results of the analysis became a reference for compiling the direction of planning for sustainable agricultural village development. Analysis of alternative program priorities using the Analytical Hierarchy Process (AHP) approach. The study found that agricultural areas dominated land use in Sukadamai Village with an area of 112,942 ha (42,693%). Land carrying capacity in Sukadamai Village was in a deficit with a comparison ratio of land availability (SL) to land requirements (DL) of 0.22. The strategy of sustainable agricultural development that can be done is the innovative application of effective and efficient land intensification. The program prioritized the criteria of social justice and maximized the government's role in realizing development goals.

scholarly journals Agriculture and land use in the North of Russia: Case study of Karelia and Yakutia

2020 ◽  
Vol 12 (1) ◽  
pp. 1497-1511
Author(s):  
Alexey Naumov ◽  
Varvara Akimova ◽  
Daria Sidorova ◽  
Mikhail Topnikov
Keyword(s):  
Land Use ◽  
Agricultural Development ◽  
Agricultural Land ◽  
Geographical Location ◽  
Special Role ◽  
Sources Of Information ◽  
Local Conditions ◽  
Climate Conditions ◽  
The North ◽  
The Republic

AbstractDespite harsh climate, agriculture on the northern margins of Russia still remains the backbone of food security. Historically, in both regions studied in this article – the Republic of Karelia and the Republic of Sakha (Yakutia) – agricultural activities as dairy farming and even cropping were well adapted to local conditions including traditional activities such as horse breeding typical for Yakutia. Using three different sources of information – official statistics, expert interviews, and field observations – allowed us to draw a conclusion that there are both similarities and differences in agricultural development and land use of these two studied regions. The differences arise from agro-climate conditions, settlement history, specialization, and spatial pattern of economy. In both regions, farming is concentrated within the areas with most suitable natural conditions. Yet, even there, agricultural land use is shrinking, especially in Karelia. Both regions are prone to being affected by seasonality, but vary in the degree of its influence. Geographical location plays special role, and weaknesses caused by remoteness to some extent become advantage as in Yakutia. Proximity effect is controversial. In Karelia, impact of neighboring Finland is insignificant compared with the nearby second Russian city – Saint Petersburg.

Graduate certificate in local development planning, land use management and disaster risk management: a knowledge, attitude and practice (KAP) evaluation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Juan Pablo Sarmiento ◽  
Catalina Sarmiento ◽  
Gabriela Hoberman ◽  
Meenakshi Chabba
Keyword(s):  
Land Use ◽  
Local Development ◽  
Development Planning ◽  
Disaster Risk ◽  
Knowledge Assessment ◽  
Land Use Management ◽  
Content Type ◽  
Attitude And Practice ◽  
Graduate Certificate ◽  
Knowledge Attitude And Practice

PurposeThis study aims to assess knowledge retention of the graduates of the online graduate certificate on local development planning, land use management and disaster risk management (PDLOTGR, the abbreviation of the certificate's Spanish title). The certificate was offered to practitioners and faculty members of Latin American countries since 2016.Design/methodology/approachThe authors reviewed the knowledge, attitude and practice (KAP) method to develop a specific approach, which included the preparation of a KAP survey, a composite KAP index and three sub-indices. The survey targeted two groups: (1) experimental group, composed of the certificate's 76 graduates, and (2) control group, comprised of 25 certificate's candidates, who had not yet undergone the training/intervention. The statistical analysis included a one-way multivariate analysis of variance to compare the mean scores on the KAP index and sub-indices for individuals in the experimental and control groups.FindingsThe study results showed significant differences in the knowledge sub-index between those who had completed the PDLOTGR training and those who had not, while the attitudes and practices sub-indices did not show significant differences. When using the KAP index, a statistically significant difference was also observed between the two groups.Originality/valuePerceived knowledge assessment offers an acceptable and non-intimidating option for evaluating continuing education and professional development programs associated to disaster risk. It is particularly helpful in determining whether an intervention or program has a lasting impact. It is not, however, a substitute for direct knowledge assessment, and the use of other methods to evaluate the performance of a capacity building program's graduates.

A Development Plan for Semi-Arid Areas in Western Sudan

1975 ◽  
Vol 11 (4) ◽  
pp. 277-287 ◽  
Author(s):  
Martin E. Adams
Keyword(s):  
Agricultural Development ◽  
Land Rights ◽  
Development Planning ◽  
Development Plan ◽  
Population Increase ◽  
Social Scientists ◽  
The United Kingdom ◽  
The Face ◽  
Planning Problems

SUMMARYThis paper, concerned with agricultural development planning problems in the Sahelian and Sudanian (semi-desert and savanna) zones in Africa between 10 and 16° North, describes a plan for Darfur, Western Sudan. This aims to modernize a stagnant and primitive technology and out-dated land rights which, in the face of rapid population increase and climatic change, are reducing the long-term carrying capacity of the land. The development plan (H.T.S., 1974) has been based on a 2-year (1972–73) survey by a team of physical and social scientists, financed by the Overseas Development Administration of the United Kingdom and the Ministry of Agriculture in the Sudan.

scholarly journals Modeling enzootic raccoon rabies from land use patterns - Georgia (USA) 2006-2010

F1000Research ◽  
2013 ◽  
Vol 2 ◽  
pp. 285 ◽  
Author(s):  
John E. Duke ◽  
Jesse D. Blanton ◽  
Melissa Ivey ◽  
Charles Rupprecht
Keyword(s):  
Land Use ◽  
Geographical Information Systems ◽  
Agricultural Development ◽  
Cost Effective ◽  
Geographical Information ◽  
Evergreen Forest ◽  
Land Use Patterns ◽  
Vaccination Programs ◽  
Use Patterns ◽  
Rabies Vaccination

We analyzed how land-use patterns and changes in urbanization influence reported rabid raccoons in Georgia from 2006 - 2010.  Using Geographical Information Systems and rabies surveillance data, multivariate analysis was conducted on 15 land-use variables that included natural topography, agricultural development, and urbanization to model positive raccoon rabies cases while controlling for potential raccoon submission bias associated with higher human population densities.  Low intensity residential development was positively associated with reported rabid raccoons while a negative association was found with evergreen forest.  Evergreen forests may offer a barrier effect where resources are low and raccoon populations are not supported.  Areas with pure stands of upland evergreen forest might be utilized in baiting strategies for oral rabies vaccination programs where fewer or no baits may be needed.  Their use as a barrier should be considered carefully in a cost-effective strategy for oral rabies vaccination (ORV) programs to contain the western spread of this important zoonotic disease.

scholarly journals Identificación de conflictos de uso de suelo para la planificación del crecimiento urbano: ciudad Cuauhtémoc, Chihuahua (México)

2019 ◽  
Vol 45 (2) ◽  
pp. 709
Author(s):  
J.D. Maldonado-Marín ◽  
L.C. Alatorre-Cejudo ◽  
E. Sánchez-Flores
Keyword(s):  
Land Use ◽  
Development Planning ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Uses ◽  
Land Use Conflict ◽  
The Status ◽  
Resolution Model ◽  
Urban Planning And Development ◽  
Land Use Policies

This research incorporates new forms of analysis for urban planning and development in Ciudad Cuauhtémoc, Chihuahua (Mexico), providing elements of reference by identifying areas with potentiality and limitations for urban land use, as well as for agricultural and conservation activities. The general objective was to identify the main conflicts between land uses and coverages to determine the areas of greatest territorial suitability for the city's growth. For this purpose, the Land Use Conflict Identification Strategy (LUCIS) model was used to understand the spatial significance of the status of land use policies, including likely urban patterns associated with agricultural and conservation trends. In the case study, a total of 149,139 inhabitants are estimated for the year 2030, which represents the need for an additional 392.42 hectares to accommodate the population growth. For that of the 16,272.21 hectares that has the population limit, 38 % were allocated to the category of agriculture, 11.95% to conservation soils and 49.67% to urban land (including the existing urban area). There is a significant portion of the area that is in conflict between the different land uses. It concludes, that the integration of a conflict resolution model for land use and land cover represents a practical solution that contributes to the improvement of processes of urban development planning.

scholarly journals Monitoring Spatial-Temporal Transition Dynamics of Transport Infrastructure Space in Urban Growth Phenomena: A Case Study of Lagos—Nigeria

2021 ◽  
Vol 2 ◽  
Author(s):  
Suleiman Hassan Otuoze ◽  
Dexter V.L. Hunt ◽  
Ian Jefferson
Keyword(s):  
Land Use ◽  
Evolutionary Dynamics ◽  
Landsat Imagery ◽  
Ground Truth ◽  
Development Planning ◽  
Transport Infrastructure ◽  
Chain Process ◽  
Spatial Transformation ◽  
Arc Gis ◽  
Spatial Transition

Lagos is one of the fastest growing world mega-cities with a huge urban mobility crisis, the traditional aggregate city’s development model could not provide reliable scientific solutions to monitor the competing demands of various land-use components and the urbanization’s effects on transport infrastructure space. This study uses a disaggregated predictive spatial modeling approach to investigate the evolutionary dynamics of transportation infrastructure space to address the fragmented urban chain process. The methodology involves analysis and modeling of the land-use spatial transition changes that have occurred over the past three decades using three Landsat imagery epochs (1984, 2013, and 2019) in remote sensing ARC-GIS 10.7. Furthermore, the prediction of the two-temporal milestones (2030 and 2050) using hybrid cellular automata-Markov (CA-Markov) implemented in IDIRISI SELVA 17.0 software when the tides of social-demographic factors were expected to bring about significant urban spatial transformation. The forecast results are expected to increase the area for transport infrastructure spaces by 93 km2 (7.3%) in 2030 and 157 km2 (12.4%) in 2050. The model’s kappa reliability coefficient estimates for the three temporal scales (k1984 = 85%; k2013 = 88% and k2019 = 89%) are higher than the 80% minimum adjudged strong agreement between the ground truth and prediction classified images in literature. The model provides efficient tool in urban development planning and sustainable transport decisions.

scholarly journals Assessing the Impact of Floods Disaster on Soil Erosion Risk Based on the RUSLE-GloSEM Approach in Western Iran

2021 ◽  
Author(s):  
Morteza Akbari ◽  
Ehsan Neamatollahi ◽  
Hadi Memarian ◽  
Mohammad Alizadeh Noughani
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Soil Erosion ◽  
Land Use Change ◽  
Agricultural Development ◽  
Erosion Risk ◽  
Before And After ◽  
Global Soil ◽  
Major Floods ◽  
The Impact

Abstract Floods cause great damage to ecosystems and are among the main agents of soil erosion. Given the importance of soils for the functioning of ecosystems and development and improvement of bio-economic conditions, the risk and rate of soil erosion was assessed using the RUSLE model in Iran’s Lorestan province before and after a period of major floods in late 2018 and early 2019. Furthermore, soil erosion was calculated for current and future conditions based on the Global Soil Erosion Modeling Database (GloSEM). The results showed that agricultural development and land use change are the main causes of land degradation in the southern and central parts of the study area. The impact of floods was also significant since our evaluations showed that soil erosion increased from 4.12 t ha-1 yr-1 before the floods to 10.93 t ha-1 yr-1 afterwards. Field surveying using 64 ground control points determined that erodibility varies from 0.17 to 0.49% in the study area. Orchards, farms, rangelands and forests with moderate or low vegetation cover were the most vulnerable land uses to soil erosion. The GloSEM modeling results revealed that climate change is the main cause of change in the rate of soil erosion. Combined land use change-climate change simulation showed that soil erosion will increase considerably in the future under SSP1-RCP2.6, SSP2-RCP4.5, and SSP5-RCP8.5 scenarios. In the study area, both natural factors, i.e. climate change and human factors such as agricultural development, population growth, and overgrazing are the main drivers of soil erosion.

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