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Record W3000756424

Wind erosion in Africa and West Asia :problems and control strategies : proceedings of the expert group meeting, 22-25 April 1997, Cairo, Egypt

2016· article· en· W3000756424 on OpenAlexaboutno aff
M. V. K. Sivakumar

Bibliographic record

VenueMELSpace (ICARDA (The International Center for Agricultural Research in Dry Areas)) · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAeolian processes and effects
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyAeolian processesSouth asiaControl (management)ErosionHistoryAncient historyGeologyManagementEconomics
DOInot available

Abstract

fetched live from OpenAlex

Drylands are important sources of aeolian particles (dust and other particulates) associated with a variety of human activities, including vegetation removal and biomass burning. A wide range of empirical and numerical modeling studies, which relate climatic variation in drylands to a variety of forcing mechanisms, has established the strength of the link between the global climate system and specific climate patterns in the dryland areas. Wind erosion, the removal of soil by wind, is one of the most damaging effects of wind in many parts of the world. As a rule, it only assumes the status of a major problem in regions with a strongly-marked annual dry season, and hence is a potential hazard in all dry environments. Much of the early work on wind erosion was carried out in the great plains of the United ·states, the wheat fields of the Canadian prairies, and the south of the former USSR. The problem has also been studied in Europe, Asia, and Australia. The occurrence of wind erosion is a function of weather events interacting with soil (intrinsic properties) and land management (past and present practices) through its effect on soil structure, tilth, and vegetation cover. As with water erosion, most wind erosion damage comes from relatively rare, severe events. Increased availability of simple and inexpensive "sand catchers" and automatic weather stations over the past 5- 10 years makes the task of monitoring sand flux and weather data easier. Wind erosion presents multiple challenges: identifying where wind erosion is most threatening to sustainable agricultural productivity; what practicable farmer-friendly measures can be devised to contain it; and how these measures can be transferred (for instance, through extension services) and implemented within agricultural land-use systems. According to previous studies, wind erosion in the semi-arid regions of America, North and South Africa, Australia, the Near East, and many parts of Central Asia only reached threatening proportions when man disturbed the ecosystem balance. This is true for West and Central Africa (WCA), and West Asia and North Africa (W ANA), where growing population pressures have led to the replacement of the traditional practice of fallowing with slash and burn practices and continuous cultivation. In regions (WCA and some parts of (WANA) where little or no nutrient amendments are made to replace the rapidly declining soil nutrient pool, the soil cover is declining rapidly, leading to wind erosion and land degradation. In WCA, where wind erosion is usually severe during the beginning of the growing season, young crops are damaged by wind-blown sand, leading to problems of poor crop stand and yield decline. Wind erosion in arable fields and rangeland causes various losses of soil depth, organic matter, clay content, nutrients, and indigenous seed. Downstream effects, e.g., effects, e.g., increased atmospheric dust, reduced visibility, blockage of roads, railway lines, problems of health, etc., are also causing considerable concern. In Morocco, seasonal hot winds not only carry away soil but also affect crop performance through excessive evapotranspiration and direct wind effects. In the oases, sand encroachment affects wells, palm tree plantations, and traditional irrigation systems. In the southern and southwestern parts of Tunisia, the movement of sand dunes poses a major threat to farmlands. In much of West Asia and North Africa, large areas of the traditional semi-nomadic rangeland, the steppe, are being opened for barley cultivation. The consequent removal of the natural vegetation cover has exposed the soil surface, leading to the loss of the fertile fine fraction of the shallow soils through wind erosion. This has led to a tremendous decline in soil productivity and quality of life. Hence, the Government of Syria, for example, has forbidden the conversion of the steppe for barley cultivation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.227

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.258
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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