L'evento

Il concetto di evento \ue8 di grande rilievo per gli studiosi delle scienze storiche, anche se non \ue8 tra i pi\uf9 indagati, essendo stato, per lo pi\uf9 oggetto di interesse per i filosofi e per i metodologi delle scienze sociali. Da vari angoli disciplinari e culturali si propone una nuova tematizzazione del concetto a pi\uf9 voci, accompagnata dalla traduzione italiana di un brevissimo trattato di Plutarco di Cherone

Utilizing multi-objective decision support tools for protected area selection

Establishing and maintaining protected areas (PAs) is a key action in delivering post-2020 biodiversity targets. PAs often need to meet multiple objectives, ranging from biodiversity protection to ecosystem service provision and climate change mitigation, but available land and conservation funding is limited. Therefore, optimizing resources by selecting the most beneficial PAs is vital. Here, we advocate for a flexible and transparent approach to selecting PAs based on multiple objectives, and illustrate this with a decision support tool on a global scale. The tool allows weighting and prioritization of different conservation objectives according to user-specified preferences as well as real-time comparison of the outcome. Applying the tool across 1,346 terrestrial PAs, we demonstrate that decision makers frequently face trade-offs among conflicting objectives, e.g., between species protection and ecosystem integrity. Nevertheless, we show that transparent decision support tools can reveal synergies and trade-offs associated with PA selection, thereby helping to illuminate and resolve land-use conflicts embedded in divergent societal and political demands and values.publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

The impact of natural resource use on bird and reptile communities within multiple-use protected areas: evidence from sub-arid southern Madagascar

Multiple-use protected areas, in which sustainable levels of extractive livelihood activities are permitted, play an increasingly important role in the global protected area estate, and are expected to rise in prevalence. However, we know little about their effectiveness at conserving biodiversity. We surveyed bird and reptile communities in three areas across a forest disturbance gradient resulting from charcoal production and shifting cultivation within a multiple-use protected area in Madagascar’s sub-arid spiny forest. We scored individual species using a Conservation Value Index (CVI; a simple metric based on rarity, threat and distinctiveness), and estimated the total conservation value of each treatment by calculating the sum of frequency-weighted CVI scores across all present species. Bird and reptile community responses to forest disturbance were idiosyncratic. Bird richness was greatest in the moderate-disturbance treatment, but the low-disturbance treatment had the superior conservation value due to higher frequencies of locally-endemic species. Reptile richness was the same in low- and moderate-disturbance treatments, but the conservation value of the latter was greater. The high-disturbance areas had lowest richness and conservation value for both groups. For birds, increasing disturbance levels were accompanied by community turnover from high-value to low-value species, a pattern highlighted by CVI that is masked by assessing species richness alone. Although some endemic species appear to be resilient to degradation, multiple-use protected areas in Madagascar may lose biodiversity since most endemic species are forest-dependent. Stricter protected area models may be more appropriate in areas where much of the high-value biodiversity is sensitive to habitat degradation

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Sudden onset, fixed dystonia and acute peripheral trauma as diagnostic clues for functional dystonia

Background The differentiation of functional dystonia from idiopathic dystonia may be clinically challenging. Objective To identify clinical features suggestive of functional dystonia to guide physicians to distinguish functional dystonia from idiopathic dystonia. Methods Patient data were extracted from the Italian Registry of Functional Motor Disorders and the Italian Registry of Adult Dystonia. Patients with functional and idiopathic dystonia were followed up at the same clinical sites, and they were similar in age and sex. Results We identified 113 patients with functional dystonia and 125 with idiopathic dystonia. Sudden onset of dystonia, evidence of fixed dystonia, and acute peripheral trauma before dystonia onset were more frequent in the functional dystonia group. No study variable alone achieved satisfactory sensitivity and specificity, whereas a combination of variables yielded 85% sensitivity and 98% specificity. A diagnostic algorithm was developed to reduce the risk of misclassifying functional dystonia. Conclusion Our findings extend the current diagnostic approach to functional dystonia by showing that clinical information about symptom onset, fixed dystonia, and history of peripheral trauma may provide key clues in the diagnosis of functional dystonia

Engage the hodgepodge: management factors are essential when prioritizing areas for restoration and conservation action

Restoration and conservation initiatives, such as the eradication of invasive alien plants, should be guided by scientific evidence. Typically, ecological data alone is used to inform the decision-making of these initiatives. Recent advances in the mapping of conservation opportunity include a diverse range of scientifically-identified factors that determine the feasibility and likely effectiveness of conservation initiatives, and include, for example, data on the willingness and capacity of land managers to be effectively involved. Social research techniques such as interview surveys, phenomenology, and social network analysis are important approaches for securing useful human and social data. These approaches are yet to be widely adopted in restoration initiatives, but could be usefully applied to improve the effective implementation of these initiatives. Restoration and conservation planners will deliver spatial prioritisations which provide more effective and cost-efficient decision-making if they include not simply ecological data, but also data on economic, human, management, social and vulnerability factors that determine implementation effectiveness

Oromandibular dystonia: from onset to spread a multicenter italian study

BackgroundDetailed information about the epidemiological and phenomenological differences among the aetiological subtypes of oromandibular dystonia (OMD) is lacking. Moreover, the OMD tendency to spread to other body sites has never been investigated.AimTo compare the main demographic and clinical features of OMD in different aetiological groups and assess the risk of spread.Materials and methodsWe retrospectively analysed data from patients contained in the Italian Dystonia Registry. The risk of spread was assessed by Kaplan Meyer curves and Cox regression analysis.ResultsThe study included 273 patients (175 women) aged 55.7 years (SD 12.7) at OMD onset. Female predominance was observed. Idiopathic dystonia was diagnosed in 241 patients, acquired dystonia in 22. In 50/273 patients, dystonia started in the oromandibular region (focal OMD onset); in 96/273 patients the onset involved the oromandibular region and a neighbouring body site (segmental/multifocal OMD onset); and in 127/273 patients OMD was a site of spread from another body region. Sensory trick (ST) and positive family history predominated in the idiopathic group. No dystonia spread was detected in the acquired group, whereas spread mostly occurred within the first five years of history in 34% of the focal OMD onset idiopathic patients. Cox regression analysis revealed ST as a significant predictor of spread (HR, 12.1; 95% CI, 2.5 - 18.8; P = 0.002).ConclusionThis large study provides novel information about the clinical phenomenology of idiopathic and acquired OMD. We pointed out a possible role of oestrogens in favouring dystonia development. Moreover, we described for the first time the association between ST and dystonia spread, revealing possible common pathophysiological mechanisms. Our findings may be suggested as a referral point for future pathophysiological and therapeutic studies on OMD