Assessing land degradation and identifying potential sustainable land management practices at the subnational level in Lebanon.

Assessing land degradation is essentially needed for decision-makers to monitor and mitigate degradation and implement sustainable land management practices. More specifically, monitoring land degradation on a regular basis enables decision-makers to analyze impact of degradation and effects of sustainable land management practices. This requires adopting a precise methodology for assessing land degradation. With information form assessments, decision-makers can establish achievable management goals to attain land degradation neutrality as addressed by the Sustainable Development Goal 15 (i.e., SDG 15). Accordingly, this work aimed at developing a systematic approach for assessing land degradation at the subnational level with the combined use of geo-spatial information and field data. The specific objectives were to (1) assess trends in land degradation and the impact of historical land uses on the current landscape characters, (2) investigate and characterize principal criteria of land degradation, and (3) identify sustainable land management practices. Multi-source and multi-resolution spatial data were employed for assessing the three indicators of land degradation neutrality (i.e., changes in vegetation cover, land productivity, and soil organic carbon). Prioritizing lands prone to degradation was investigated using a set of spatial attributes of different weights. Field data collection involved the use of pre-defined set of questions for assessing the principal criteria of land degradation including type, extent, rate, degree, and causes of land degradation. Sustainable land management practices were identified and categorized accordingly. This assessment provided a means for prioritization of interventions (i.e., prevention, mitigation, and/or rehabilitation) in an area characterized by a climate varying from semi-arid to moist subhumid.

The ulnar ratio as a sensitive and specific marker of acute inflammatory demyelinating polyneuropathy.

OBJECTIVES: To explore the value of a novel sensory criterion, the ulnar ratio - defined as the SNAP amplitude of the palmar cutaneous (pUN) over that of the dorsal branch (dUN) of the ulnar nerve - as a predictor of Acute Inflammatory Demyelinating Polyneuropathy (AIDP). METHODS: We prospectively included 22 patients with AIDP, 20 patients with diabetic peripheral neuropathy (DPN), and 18 controls. Eligible subjects underwent nerve conduction studies including, among others, the dUN, pUN, and sural nerve. RESULTS: A sural sparing pattern was found in 72% of AIDP cases. The ulnar ratio was significantly lower in patients with AIDP compared to those with DPN or controls. The ROC curve area to discriminate AIDP (versus controls and diabetics together) was higher with the ulnar ratio and pUN compared to dUN. An ulnar ratio ≥ 0.78 seems to be the best threshold to rule out the diagnosis of AIDP, with a specificity of 100% and a sensitivity of 87%. The ulnar ratio was equally reliable in the subgroup of patients presenting within a week of symptoms onset. CONCLUSION: The ulnar ratio is a highly sensitive and specific marker of AIDP and can help confirm the diagnosis when direct signs of demyelination are lacking. SIGNIFICANCE: Incorporating specific sensory abnormalities, such as the ulnar ratio, in the electrodiagnostic criteria of AIDP could enhance their reliability.

Evaluating exposure to land degradation in association with repetitive armed conflicts in North Lebanon using multi-temporal satellite data.

Repetitive armed conflicts may be directly and indirectly responsible for severe biophysical modification to the environment. This, in turn, makes land more susceptible to degradation. Mapping and monitoring land degradation are essential for designing and implementing post-conflict recovery plans and informed policy decisions. The aim of this work was to evaluate the effect of repetitive armed conflicts on land degradation along the coastal zone of North Lebanon using multi-temporal satellite data. The specific objectives were to (1) identify a list of indicators for use in conjunction with satellite remote sensing, (2) monitor land cover change throughout repetitive events of armed conflicts and (3) model the effect of repetitive armed conflicts on land degradation. The methodology of work comprised the use of multi-temporal Landsat images and literature review data in GEographic Object-Based Image Analysis (GEOBIA) approach. The work resulted in the development of (1) a list of indicators to be employed, (2) land cover change detection maps with the use of multi-temporal Landsat images and, consequently, a fire risk associated with changes in vegetation cover throughout repetitive armed conflict events, and (3) an integrated approach for modelling the effect of repetitive armed conflicts on land degradation with the use of a composite land degradation index (CLDI). The final synthetic map showed four classes of exposure to land degradation associated with repetitive armed conflicts. Data collected from field visits showed that the final classification results highly reflected (average of 90 %) the effect of repetitive armed conflicts on the different classes of exposure to land degradation.

Prioritising coastal zone management issues through fuzzy cognitive mapping approach.

Effective public participation is an essential component of Integrated Coastal Zone Management implementation. To promote such participation, a shared understanding of stakeholders' objectives has to be built to ultimately result in common coastal management strategies. The application of quantitative and semi-quantitative methods involving tools such as Fuzzy Cognitive Mapping is presently proposed for reaching such understanding. In this paper we apply the Fuzzy Cognitive Mapping tool to elucidate the objectives and priorities of North Lebanon's coastal productive sectors, and to formalize their coastal zone perceptions and knowledge. Then, we investigate the potential of Fuzzy Cognitive Mapping as tool for support coastal zone management. Five round table discussions were organized; one for the municipalities of the area and one for each of the main coastal productive sectors (tourism, industry, fisheries, agriculture), where the participants drew cognitive maps depicting their views. The analysis of the cognitive maps showed a large number of factors perceived as affecting the current situation of the North Lebanon coastal zone that were classified into five major categories: governance, infrastructure, environment, intersectoral interactions and sectoral initiatives. Furthermore, common problems, expectations and management objectives for all sectors were exposed. Within this context, Fuzzy Cognitive Mapping proved to be an essential tool for revealing stakeholder knowledge and perception and understanding complex relationships.

Combining non-invasive methods for the rapid assessment of mammalian richness in a transect-quadrat survey scheme - Case Study of the Horsh Ehden Nature Reserve, North Lebanon.

Lebanon lacks updated information related to the status of mammalian species, their richness and distribution. This study aimed at developing a rapid assessment methodology combining three non-invasive techniques based on the transect-quadrat survey scheme to measure mammalian richness at the Horsh Ehden Nature Reserve. The achieved results showed that the combination of the three techniques, droppings, footprints and photo-trapping for the rapid assessment of mammalian richness supported by Geographical Information System applications is highly effective. Twenty visits covering twenty quadrats out of 49 over a period of nine months allowed the detection of 12 of the 14 targeted species with droppings providing the majority of evidence while footprints and photo-trapping being of equal efficiency. The method can be easily replicated in any region to rapidly assess mammalian richness and the area of activity of the detected species and therefore directing conservation and management activities towards species of interest.