97 research outputs found

    Private costs on water conservation: study case at Cantareira Mantiqueira Corridor Region.

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    This study aims to evaluate the private opportunity cost for an extensive forest recover program in the Cantareira-Mantiqueira Corridor Region and discuss its results focusing on three central questions: i. what is the private opportunity cost of forest restoration for the main land use activities in the Cantareira-Mantiqueira Corridor Region? ii. how the private opportunity costs varies throughout the region? iii. What are the most cost-effectiveness PES strategies available for the Cantareira- Mantiqueira Corridor Region

    Hierarchical Self-Programming in Recurrent Neural Networks

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    We study self-programming in recurrent neural networks where both neurons (the `processors') and synaptic interactions (`the programme') evolve in time simultaneously, according to specific coupled stochastic equations. The interactions are divided into a hierarchy of LL groups with adiabatically separated and monotonically increasing time-scales, representing sub-routines of the system programme of decreasing volatility. We solve this model in equilibrium, assuming ergodicity at every level, and find as our replica-symmetric solution a formalism with a structure similar but not identical to Parisi's LL-step replica symmetry breaking scheme. Apart from differences in details of the equations (due to the fact that here interactions, rather than spins, are grouped into clusters with different time-scales), in the present model the block sizes mim_i of the emerging ultrametric solution are not restricted to the interval [0,1][0,1], but are independent control parameters, defined in terms of the noise strengths of the various levels in the hierarchy, which can take any value in [0,\infty\ket. This is shown to lead to extremely rich phase diagrams, with an abundance of first-order transitions especially when the level of stochasticity in the interaction dynamics is chosen to be low.Comment: 53 pages, 19 figures. Submitted to J. Phys.

    Aptidão física de jovens atletas do sexo masculino em relação à idade cronológica e estágio de maturação sexual

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    The necessity to consider the influence of physical growth and biological maturation on physical fitness development directed this study to two aims: a) to describe the development of physical fitness components of young male athletes in in relation to two different age-groups and maturational status; b) to verify the impact of biological maturation on physical fitness in two different age-groups. The sample was composed by 218 young male athletes separated in two groups (Group A = 12/13 years-old; Group B = 14/16 years-old). Aerobic capacity, lower limb power, abdominal resistance, upper limb power, velocity, agility and flexibility were measured. Sexual maturity was evaluated according to Tanner (1962). Analysis of variance ONE-WAY was used to verify differences between maturity status in each age-group. All the components of physical fitness presented increasing values among sexual maturity status from 12 to 16 years except abdominal resistance, which showed constant values in the group from 12 to 13 years old. Sexual maturation had significant effect in the upper and lower limb power as well in velocity in both age-groups, agility and flexibility for group A and abdominal resistance for group B. In conclusion, motor skills showed progress in accordance with the chronological age and level of biological maturation; the biological maturation effect was significant for both groups (12/13 years, 14/16 years) on lower limb power, upper limb power and velocity.A necessidade de considerar-se a influência do crescimento físico e da maturação biológica sobre a aptidão física direcionou este estudo a dois objetivos: a) descrever o desenvolvimento dos componentes da aptidão física de jovens atletas do sexo masculino em grupos etários e estágios maturacionais diferentes; b) verificar o impacto da maturação biológica sobre a aptidão física em dois grupos etários diferentes. A amostra foi composta por 218 jovens atletas do sexo masculino subdivididos em dois grupos etários (Grupo A = 12/13 anos; Grupo B = 14/16 anos). Foram realizados testes que envolvem a capacidade aeróbia, potência de membros inferiores e superiores, resistência muscular abdominal, velocidade de deslocamento, agilidade e flexibilidade. A maturação sexual foi realizada de acordo com o protocolo de Tanner (1962). Utilizou-se análise de variância a um fator a fim verificar diferenças entre os estágios de maturação sexual para cada grupo etário. Todos os componentes da aptidão física apresentaram valores crescentes entre os estágios de maturação sexual dos 12 aos 16 anos, com exceção da resistência muscular abdominal que manteve seus valores constantes no grupo de 12 a 13 anos. A maturação sexual teve efeito significante na potência de membros superiores e inferiores, bem como na velocidade de deslocamento em ambos os grupos etários, na agilidade e flexibilidade para o grupo mais novo e na resistência muscular abdominal para o grupo mais velho. Conclui-se que, as capacidades motoras estudadas apresentaram evolução de acordo com a idade cronológica e nível de maturação biológica; acrescenta-se que a maturação biológica teve efeito significante para ambos os grupos (12/13 anos, 14/16 anos) sobre a potência de membros inferiores, potência de membros superiores e velocidade de deslocamento

    Statistical Mechanics of Soft Margin Classifiers

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    We study the typical learning properties of the recently introduced Soft Margin Classifiers (SMCs), learning realizable and unrealizable tasks, with the tools of Statistical Mechanics. We derive analytically the behaviour of the learning curves in the regime of very large training sets. We obtain exponential and power laws for the decay of the generalization error towards the asymptotic value, depending on the task and on general characteristics of the distribution of stabilities of the patterns to be learned. The optimal learning curves of the SMCs, which give the minimal generalization error, are obtained by tuning the coefficient controlling the trade-off between the error and the regularization terms in the cost function. If the task is realizable by the SMC, the optimal performance is better than that of a hard margin Support Vector Machine and is very close to that of a Bayesian classifier.Comment: 26 pages, 12 figures, submitted to Physical Review

    Slowly evolving geometry in recurrent neural networks I: extreme dilution regime

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    We study extremely diluted spin models of neural networks in which the connectivity evolves in time, although adiabatically slowly compared to the neurons, according to stochastic equations which on average aim to reduce frustration. The (fast) neurons and (slow) connectivity variables equilibrate separately, but at different temperatures. Our model is exactly solvable in equilibrium. We obtain phase diagrams upon making the condensed ansatz (i.e. recall of one pattern). These show that, as the connectivity temperature is lowered, the volume of the retrieval phase diverges and the fraction of mis-aligned spins is reduced. Still one always retains a region in the retrieval phase where recall states other than the one corresponding to the `condensed' pattern are locally stable, so the associative memory character of our model is preserved.Comment: 18 pages, 6 figure

    Slowly evolving random graphs II: Adaptive geometry in finite-connectivity Hopfield models

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    We present an analytically solvable random graph model in which the connections between the nodes can evolve in time, adiabatically slowly compared to the dynamics of the nodes. We apply the formalism to finite connectivity attractor neural network (Hopfield) models and we show that due to the minimisation of the frustration effects the retrieval region of the phase diagram can be significantly enlarged. Moreover, the fraction of misaligned spins is reduced by this effect, and is smaller than in the infinite connectivity regime. The main cause of this difference is found to be the non-zero fraction of sites with vanishing local field when the connectivity is finite.Comment: 17 pages, 8 figure

    Rapid land use conversion in the Cerrado has affected water transparency in a hotspot of ecotourism, Bonito, Brazil.

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    Abstract: Background: Brazil is the largest exporter of soybeans worldwide. Albeit its economic importance, soybean expansion has led to important land use and land cover changes. In this paper, we evaluate the impact of soybean expansion on ecotourism, using as a case study of the Prata River (Bonito), Brazil; tourist destination where over 30,000 tourists per year came to float in crystal waters. Methods: We first evaluated land cover and land use change in the region between 2010 and 2020, checking how and where soybean plantations have expanded. Second, based on monthly data of water transparency of the Prata River, Bonito, we created five possible models considering monthly rainfall and three categories of soybean expansion (slow, rapid and medium). The models were tested through generalized linear regression analysis and ranked through AIC and AIC weight. Results: Our results show that soybean expanded from occupying 4% of the river basin in 2010 to 23% in 2020, expanding mostly over pasture areas (31%) and native vegetation (12.9%). We also showed that while soybean plantation was expanding rapid between 2014 and 2016, it played a significant role in increasing the number of days the water in the Prata River was classified as very turbid. Conclusion: Our results emphasize the need for soybean expansion planning, considering better management of the soil (nontilling), common agreements between different stakeholders and the scale up of initiatives that are already in place in the region (e.g. planning of the locations of legal reserves in a way that complement the environmental protection areas (e.g. Aguas de Bonito), seting aside of conservation areas ("Area Priorit ´ aria Banhados") and payment for ecosystem service schemes) . Implications for conservation: Our research shows the importance of considering the different impacts soybean may have on the landscape. We present clear paths to reduce possible economic and environmental impacts, and present the importance to scale up innitiatives that are already in place in the region, such as payment for ecosystem services schemes and protection of watersheds

    A bird’s eye view: using circuit theory to study urban landscape connectivity for birds

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    Context Connectivity is fundamental to understanding how landscape form influences ecological function. However, uncertainties persist due to the difficulty and expense of gathering empirical data to drive or to validate connectivity models, especially in urban areas, where relationships are multifaceted and the habitat matrix cannot be considered to be binary. Objectives This research used circuit theory to model urban bird flows (i.e. ‘current’), and compared results to observed abundance. The aims were to explore the ability of this approach to predict wildlife flows and to test relationships between modelled connectivity and variation in abundance. Methods Circuitscape was used to model functional connectivity in Bedford, Luton/Dunstable, and Milton Keynes, UK, for great tits (Parus major) and blue tits (Cyanistes caeruleus), drawing parameters from published studies of woodland bird flows in urban environments. Model performance was then tested against observed abundance data. Results Modelled current showed a weak yet positive agreement with combined abundance for P. major and C. caeruleus. Weaker correlations were found for other woodland species, suggesting the approach may be expandable if re-parameterised. Conclusions Trees provide suitable habitat for urban woodland bird species, but their location in large, contiguous patches and corridors along barriers also facilitates connectivity networks throughout the urban matrix. Urban connectivity studies are well-served by the advantages of circuit theory approaches, and benefit from the empirical study of wildlife flows in these landscapes to parameterise this type of modelling more explicitly. Such results can prove informative and beneficial in designing urban green space and new developments

    Thresholds of riparian forest use by terrestrial mammals in a fragmented Amazonian deforestation frontier

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    Species persistence in fragmented landscapes is intimately related to the quality, structure, and context of remaining habitat remnants. Riparian vegetation is legally protected within private landholdings in Brazil, so we quantitatively assessed occupancy patterns of terrestrial mammals in these remnants, examining under which circumstances different species effectively use them. We selected 38 riparian forest patches and five comparable riparian sites within continuous forest, at which we installed four to five camera-traps per site (199 camera-trap stations). Terrestrial mammal assemblages were sampled for 60 days per station during the dry seasons of 2013 and 2014. We modelled species occupancy and detection probabilities within riparian forest remnants, and examined the effects of patch size, habitat quality, and landscape structure on occupancy probabilities. We then scaled-up modelled occupancies to all 1915 riparian patches throughout the study region to identify which remnants retain the greatest potential to work as habitat for terrestrial vertebrates. Of the ten species for which occupancy was modelled, six responded to forest quality (remnant degradation, cattle intrusion, palm aggregations, and understorey density) or structure (remnant width, isolation, length, and area of the patch from which it originates). Patch suitability was lower considering habitat quality than landscape structure, and virtually all riparian remnants were unsuitable to maintain a high occupancy probability for all species that responded to forest patch quality or structure. Beyond safeguarding legal compliance concerning riparian remnant amount, ensuring terrestrial vertebrate persistence in fragmented landscapes will require curbing the drivers of forest degradation within private landholdings
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