كلية الزراعة طرابلس

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يوجد بـكلية الزراعة طرابلس أكثر من 171 عضو هيئة تدريس

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د. نوري الساحلي سالم مادي

نوري مادي هو احد اعضاء هيئة التدريس بقسم علوم الاغذية بكلية الزراعة طرابلس. يعمل السيد نوري مادي بجامعة طرابلس كـأستاذ منذ 2010-07-01 وله العديد من المنشورات العلمية في مجال تخصصه

منشورات مختارة

بعض المنشورات التي تم نشرها في كلية الزراعة طرابلس

The Business Side of Ecosystem Services of Soil Systems

Current applications of the Ecosystems Services (ES) framework to soils are narrowly defined (e.g., soil-based, pedosphere-based, etc.), and focus on soil properties while treating soil as a closed system. Because soil is an open system, it receives and loses matter across its boundaries within Earth’s spheres (atmosphere, biosphere, hydrosphere, lithosphere, ecosphere, and anthroposphere), which also need to be accounted for in economic analysis. In market economies, the market transforms resources from the Earth’s pedosphere and related spheres into goods and services for societal welfare with non-market institutions mediating human and environmental interactions. These transformations and mediations can result not only in welfare but damages as well. The concept of soil ES and ecosystem disservices (ED) is a human-centered framework, which can be a useful tool in business decision-making. Soil ES (e.g., provisioning, regulation/ maintenance, and cultural) are used to produce goods and services, but the value of these ES and ED are not always accounted for as a part of business decision-making. The objective of this review is to illustrate the monetary valuation of ecosystem services of soil systems (SS) with examples based on the organizational hierarchy of soil systems. The organizational hierarchy of soil systems can be used in economic valuations of soil ES by scale (e.g., world, continent), time (e.g., soil, geologic), qualitative and quantitative degrees of computation (e.g., mental, verbal, descriptive, mathematical, deterministic, stochastic), and degree of complexity (e.g., mechanistic, empirical). Soil survey databases, soil analyses, Soil Data Systems (SDS), and Soil Business Systems (SBS) provide tools and a wide range of quantitative/qualitative data and information to evaluate goods and services for various business applications, but these sources of soil data may be limited in scope due to their static nature. Valuation of soil resources based on soil and non-soil science databases (e.g., National Atmospheric Deposition Program (NADP) databases, etc.) is critically needed to account for these ES/ED as part of business decision-making to provide more sustainable use of soil resources. Since most ecosystems on Earth have been modified by human activity, “soil systems goods and services” (SSGS) may be a more applicable term to describe soil contributions (benefits/damages) to economic activity, compared to a term such as “soil ecosystem goods and services.” arabic 8 English 47
Elena Mikhailova, Christopher Post, Mark Schlautman, Gregory Post, Hamdi Zurqani(7-2020)
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Performance of Supervised Classification for Mapping Land Cover and Land Use in Jeffara Plain of Libya

Different methods accessible for remote sensing image classification; they include supervised, unsupervised and fuzzy classifications. This paper investigates the performance of the supervised classification on remote sensing data for land cover/ land use in North-West Region of Jeffara Plain of Libya. The study used SPOT 5 satellite image taken on January 2009 as a main data. Maximum likelihood classification (MLC) which is based on the probability that a pixel belongs to a particular class were chosen to classifying land cover data/ land use in the study area. The land cover /land use classes for the study area were classified into 5 homogeneous land cover classes of a single land cover and 4 heterogeneous land cover classes. Ground verification was applied to verify and evaluate the accuracy of supervised classification. 48 field points were collected using Systematic Random Sampling. The results showed that 65 % of the study area was classified into heterogeneous land cover classes, while 25 % of the study area classified into homogeneous land cover classes. Derivation heterogonous or mixed land cover classes from the use supervised classification (i.e. crisp classification) led to producing uncertain or vague land cover classes in the study area. For future work, the authors will test the fuzzy image classification to derive land cover and land use data in the study area. Keywords: Supervised classification, spot image, land cover /land use, Jeffara Plain
Mukhtar Mahmud Elaalem(3-2013)
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A Comparison of Parametric and Fuzzy Multi-Criteria Methods for Evaluating Land Suitability for Olive in Jeffara Plain of Libya

Boolean approaches to land suitability treat both the spatial units and the value ranges as clearly defined. This is to ignore the continuous nature of land properties as well as the differences and uncertainties in measurement. The objective of this paper was to compare two approaches to land suitability evaluations; Parametric and Fuzzy Multi-Criteria Methods to model the opportunities for olive production in Jeffara Plain of Libya. In this paper a number of soil and landscape criteria were identified and their weights specified as a result of discussions with local experts. The Fuzzy MCE approach was found to be better than the parametric approach. The Fuzzy MCE approaches accommodate the continuous nature of many soil properties and produce more intuitive distributions of land suitabilities value for olive. The results of Fuzzy MCE showed that the majority of the study area is highly suitable for olive production, while the results obtained from the use the parametric method showed that most of the study area is moderately suitable for olive production.
Mukhtar Mahmud Elaalem(1-2013)
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