scholarly journals Introduction

2021 ◽  
Vol 46 (1) ◽  
pp. 5-14
Author(s):  
Anu Lounela ◽  
Tuomas Tammisto
Keyword(s):  
Papua New Guinea ◽  
Large Scale ◽  
Temporal Dynamics ◽  
Brazilian Amazon ◽  
Resource Extraction ◽  
Special Issue ◽  
Environmental Destruction ◽  
Finnish Lapland ◽  
Spatio Temporal ◽  
Analytical Device

In recent years, the concept of ‘frontier’ has become an important analytical device to discuss resource-making in connection with state formation, procurement of labour, environmental destruction, transformation of landscapes, and climate change. Current rapidly shifting frontier situations suggest that the frontier becomes a useful concept in connection with territorialization, since frontiers, as open or liminal areas, give rise to efforts to map, regulate, expand, and extract in them. We propose that frontiers are spatial, temporal, and relational situations that involve territorial processes that qualify landscapes and relations between humans and other beings, such as plants, animals, and so forth. In this special issue, the authors focus on different aspects and qualities of frontier making, namely questions about territorialization, the spatio-temporal dynamics of frontiers, and the possibilities of life under frontier conditions in the Indonesian Borneo, Papua New Guinea, Finnish Lapland, and the Brazilian Amazon. In all these areas, large-scale resource extraction and struggle over different tenure regimes are on-going. The various cases show that natural resources are not generic, they are specific natural elements that are revalued as commodities and resources that can be extracted in frontier situations. The articles of this special issue show that these nature elements, beings, and lives bear a great significance on different ways frontier dynamics and territorializing processes unfold in specific locations. The papers argue that these transformative processes lend specific qualities to socionatural relationships and limits to possibilities of life.

Landowner Groups and the Codification of Custom in Papua New Guinea

2016 ◽  
Author(s):  
Victoria C. Stead
Keyword(s):  
Papua New Guinea ◽  
Land Tenure ◽  
Land Reform ◽  
Large Scale ◽  
New Guinea ◽  
Resource Extraction ◽  
Land Reforms ◽  
Middle Way ◽  
Customary Land ◽  
Relations Of Power

Although it diverges markedly from the vision of the Melanesian Way elaborated in the 1975 constitution, large-scale resource extraction has in recent decades been championed as the key mechanism for development in Papua New Guinea. In this context, forms of “middle-way” land reform are advocated as means of rendering customary land tenure commensurable with the requirements of modern, capitalist practices of production and economic activity. Principal amongst these are Incorporated Land Groups (ILGs) and lease-lease-back arrangements. Ethnographic exploration of communities affected by the tuna industry in Madang Province shows how these land reforms transform structures and cartographies of power, privileging the agents of the state and global capital at the same time that they transform relations of power within communities. At the same time, however, forms of codification and the assertion of landowner identities allow communities to make claims against outside agents involved in resource extractive activity on their lands.

scholarly journals Arctic avian predators synchronise their spring migration with the northern progression of snowmelt

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Teja Curk ◽  
Ivan Pokrovsky ◽  
Nicolas Lecomte ◽  
Tomas Aarvak ◽  
David F. Brinker ◽  
...  
Keyword(s):  
Large Scale ◽  
Temporal Dynamics ◽  
The Arctic ◽  
Migratory Species ◽  
Migration Patterns ◽  
Predator Species ◽  
Movement Data ◽  
Breeding Grounds ◽  
Spatio Temporal ◽  
Spring Snowmelt

Abstract Migratory species display a range of migration patterns between irruptive (facultative) to regular (obligate), as a response to different predictability of resources. In the Arctic, snow directly influences resource availability. The causes and consequences of different migration patterns of migratory species as a response to the snow conditions remains however unexplored. Birds migrating to the Arctic are expected to follow the spring snowmelt to optimise their arrival time and select for snow-free areas to maximise prey encounter en-route. Based on large-scale movement data, we compared the migration patterns of three top predator species of the tundra in relation to the spatio-temporal dynamics of snow cover. The snowy owl, an irruptive migrant, the rough-legged buzzard, with an intermediary migration pattern, and the peregrine falcon as a regular migrant, all followed, as expected, the spring snowmelt during their migrations. However, the owl stayed ahead, the buzzard stayed on, and the falcon stayed behind the spatio-temporal peak in snowmelt. Although none of the species avoided snow-covered areas, they presumably used snow presence as a cue to time their arrival at their breeding grounds. We show the importance of environmental cues for species with different migration patterns.

scholarly journals Early alterations of large-scale brain networks temporal dynamics in young children with autism

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Aurélie Bochet ◽  
Holger Franz Sperdin ◽  
Tonia Anahi Rihs ◽  
Nada Kojovic ◽  
Martina Franchini ◽  
...  
Keyword(s):  
Large Scale ◽  
Developmental Stages ◽  
Temporal Dynamics ◽  
Brain Networks ◽  
Autism Spectrum ◽  
Brain Network ◽  
Clustering Methods ◽  
Early Developmental Stages ◽  
Spatio Temporal ◽  
Early Developmental

AbstractAutism spectrum disorders (ASD) are associated with disruption of large-scale brain network. Recently, we found that directed functional connectivity alterations of social brain networks are a core component of atypical brain development at early developmental stages in ASD. Here, we investigated the spatio-temporal dynamics of whole-brain neuronal networks at a subsecond scale in 113 toddlers and preschoolers (66 with ASD) using an EEG microstate approach. We first determined the predominant microstates using established clustering methods. We identified five predominant microstate (labeled as microstate classes A–E) with significant differences in the temporal dynamics of microstate class B between the groups in terms of increased appearance and prolonged duration. Using Markov chains, we found differences in the dynamic syntax between several maps in toddlers and preschoolers with ASD compared to their TD peers. Finally, exploratory analysis of brain–behavioral relationships within the ASD group suggested that the temporal dynamics of some maps were related to conditions comorbid to ASD during early developmental stages.

scholarly journals Spatio-Temporal Dynamics of Feed Grain Demand of Dairy Cows in China

2020 ◽  
Vol 12 (2) ◽  
pp. 663 ◽  
Author(s):  
Chao Yang Dong ◽  
Bei Bei Ma ◽  
Chun Xia LU
Keyword(s):  
Dairy Cows ◽  
Dairy Cow ◽  
Large Scale ◽  
Temporal Dynamics ◽  
Hot Spot ◽  
Market Environment ◽  
Relative Level ◽  
Resource Endowment ◽  
Spatio Temporal ◽  
Feeding Technology

As the income of urban and rural residents has increased in recent decades in China, dairy products have become an important part of the Chinese diet. Therefore, keeping up with the growing demand for feed grain for dairy cows is a critical issue of feed grain security. Utilizing traditional statistical and spatial statistical methods, this study analyzes the spatio-temporal dynamics of dairy cow feed grain (DCFG) demand on the provincial, regional, and national levels across China from 1990 to 2016. Additionally, this paper explores the impacts of various factors on the spatio-temporal dynamics of DCFG demand using the Geo-Detector method. The results demonstrate that: (1) the temporal dynamics of DCFG demand can be divided into three stages of slow growth, rapid growth, and high-level stability, and the relative level of DCFG demand in the whole animal husbandry tends to decline; (2) at the regional and national levels, the spatial concentration of high DCFG demand has intensified; in particular, North China was the region where the largest demand for DCFG was localized and was increasing at the highest rate; (3) based on the hot spot analysis of provincial DCFG demand, the high and low demand provinces of DCFG have sharp characteristic contrast from north to south China; (4) the spatio-temporal dynamics of DCFG demand in China were essentially co-affected by the four groups of factors (e.g., resource endowment, feeding scale, feeding technology, and market environment), of which resource endowment and feeding scale were the dominant factors. Therefore, in the future, dairy cow feeding in China should promote grain-saving feeding technology, improve the utilization of forage, expand large-scale feeding, and create a good market environment to ensure the reasonable development and sustainability of DCFG demand.

scholarly journals Large-scale spiking circuit simulation of spatio-temporal dynamics in superior colliculus

2014 ◽  
Vol 15 (S1) ◽  
Author(s):  
Richard E Veale ◽  
Tadashi Isa ◽  
Masatoshi Yoshida
Keyword(s):  
Superior Colliculus ◽  
Large Scale ◽  
Temporal Dynamics ◽  
Circuit Simulation ◽  
Spatio Temporal

scholarly journals Millennial-scale faunal record reveals differential resilience of European large mammals to human impacts across the Holocene

2016 ◽  
Vol 283 (1827) ◽  
pp. 20152152 ◽  
Author(s):  
Jennifer J. Crees ◽  
Chris Carbone ◽  
Robert S. Sommer ◽  
Norbert Benecke ◽  
Samuel T. Turvey
Keyword(s):  
Large Scale ◽  
Temporal Dynamics ◽  
Human Impacts ◽  
Biodiversity Loss ◽  
Mammal Species ◽  
The Holocene ◽  
Range Change ◽  
Spatio Temporal ◽  
Patterns And Processes ◽  
Species Specific

The use of short-term indicators for understanding patterns and processes of biodiversity loss can mask longer-term faunal responses to human pressures. We use an extensive database of approximately 18 700 mammalian zooarchaeological records for the last 11 700 years across Europe to reconstruct spatio-temporal dynamics of Holocene range change for 15 large-bodied mammal species. European mammals experienced protracted, non-congruent range losses, with significant declines starting in some species approximately 3000 years ago and continuing to the present, and with the timing, duration and magnitude of declines varying individually between species. Some European mammals became globally extinct during the Holocene, whereas others experienced limited or no significant range change. These findings demonstrate the relatively early onset of prehistoric human impacts on postglacial biodiversity, and mirror species-specific patterns of mammalian extinction during the Late Pleistocene. Herbivores experienced significantly greater declines than carnivores, revealing an important historical extinction filter that informs our understanding of relative resilience and vulnerability to human pressures for different taxa. We highlight the importance of large-scale, long-term datasets for understanding complex protracted extinction processes, although the dynamic pattern of progressive faunal depletion of European mammal assemblages across the Holocene challenges easy identification of ‘static’ past baselines to inform current-day environmental management and restoration.

scholarly journals Spatio-temporal dynamics of dengue in Brazil: seasonal travelling waves and determinants of regional synchrony

2018 ◽  
Author(s):  
Mikhail Churakov ◽  
Christian J. Villabona-Arenas ◽  
Moritz U.G. Kraemer ◽  
Henrik Salje ◽  
Simon Cauchemez
Keyword(s):  
Large Scale ◽  
Temporal Dynamics ◽  
Mosquito Control ◽  
Human Mobility ◽  
Travelling Waves ◽  
Seasonal Pattern ◽  
Temporal Analysis ◽  
Vector Ecology ◽  
Spatio Temporal ◽  
Dengue Epidemics

AbstractDengue continues to be the most important vector-borne viral disease globally and in Brazil, where more than 1.4 million cases and over 500 deaths were reported in 2016. Mosquito control programmes and other interventions have not stopped the alarming trend of increasingly large epidemics in the past few years.Here, we analyzed monthly dengue cases reported in Brazil between 2001 and 2016 to better characterize the key drivers of dengue epidemics. Spatio-temporal analysis revealed recurring travelling waves of disease occurrence. Using wavelet methods, we characterised the average seasonal pattern of dengue in Brazil, which starts in the western states of Acre and Rondônia, then travels eastward to the coast before reaching the northeast of the country. Only two states in the north of Brazil (Roraima and Amapá) did not follow the countrywide pattern and had inconsistent timing of dengue epidemics throughout the study period.We also explored epidemic synchrony and timing of annual dengue cycles in Brazilian regions. Using gravity style models combined with climate factors, we showed that both human mobility and vector ecology contribute to spatial patterns of dengue occurrence.This study offers a characterization of the spatial dynamics of dengue in Brazil and its drivers, which could inform intervention strategies against dengue and other arboviruses.Author summaryIn this paper we studied the synchronization of dengue epidemics in Brazilian regions. We found that a typical dengue season in Brazil can be described as a wave travelling from the western part of the country towards the east, with the exception of the two most northern equatorial states that experienced inconsistent seasonality of dengue epidemics.We found that the spatial structure of dengue cases is driven by both climate and human mobility patterns. In particular, precipitation was the most important factor for the seasonality of dengue at finer spatial resolutions.Our findings increase our understanding of large scale dengue patterns and could be used to enhance national control programs against dengue and other arboviruses.

scholarly journals Video Question Answering via Hierarchical Spatio-Temporal Attention Networks

2017 ◽  
Author(s):  
Zhou Zhao ◽  
Qifan Yang ◽  
Deng Cai ◽  
Xiaofei He ◽  
Yueting Zhuang
Keyword(s):  
Visual Information ◽  
Large Scale ◽  
Question Answering ◽  
Temporal Dynamics ◽  
Temporal Attention ◽  
Attention Networks ◽  
Learning Framework ◽  
Spatio Temporal ◽  
The Given ◽  
Video Question Answering

Open-ended video question answering is a challenging problem in visual information retrieval, which automatically generates the natural language answer from the referenced video content according to the question. However, the existing visual question answering works only focus on the static image, which may be ineffectively applied to video question answering due to the temporal dynamics of video contents. In this paper, we consider the problem of open-ended video question answering from the viewpoint of spatio-temporal attentional encoder-decoder learning framework. We propose the hierarchical spatio-temporal attention network for learning the joint representation of the dynamic video contents according to the given question. We then develop the encoder-decoder learning method with reasoning recurrent neural networks for open-ended video question answering. We construct a large-scale video question answering dataset. The extensive experiments show the effectiveness of our method.

scholarly journals Emergence of stable coexistence in a complex microbial community through metabolic cooperation and spatio-temporal niche partitioning

2019 ◽  
Author(s):  
Sonja Blasche ◽  
Yongkyu Kim ◽  
Ruben Mars ◽  
Eleni Kafkia ◽  
Maria Maansson ◽  
...  
Keyword(s):  
Species Interactions ◽  
Large Scale ◽  
Temporal Dynamics ◽  
Niche Partitioning ◽  
Metabolic Cooperation ◽  
Stable Coexistence ◽  
Milk Fermentation ◽  
Complex Microbial Community ◽  
Spatio Temporal ◽  
Natural Milk

SummaryMicrobial communities in nature often feature complex compositional dynamics yet also stable coexistence of diverse species. The mechanistic underpinnings of such dynamic stability remain unclear as system-wide studies have been limited to small engineered communities or synthetic assemblies. Here we show how kefir, a natural milk-fermenting community, realizes stable coexistence through spatio-temporal orchestration of species and metabolite dynamics. During milk fermentation, kefir grains (a polysaccharide matrix synthesized by kefir microbes) grow in mass but remain unchanged in composition. In contrast, the milk is colonized in a dynamic fashion with early members opening metabolic niches for the followers. Through large-scale mapping of metabolic preferences and inter-species interactions, we show how microbes poorly suited for milk survive in, and even dominate, the community through metabolic cooperation and uneven partitioning between the grain and the liquid phase. Overall, our findings reveal how spatio-temporal dynamics promote stable coexistence and have implications for deciphering and modulating complex microbial ecosystems.

scholarly journals Large scale spatio-temporal patterns of road development in the Amazon rainforest

2013 ◽  
Vol 41 (3) ◽  
pp. 253-264 ◽  
Author(s):  
SADIA E. AHMED ◽  
ROBERT M. EWERS ◽  
MATTHEW J. SMITH
Keyword(s):  
Large Scale ◽  
Temporal Dynamics ◽  
Temporal Patterns ◽  
Biodiversity Loss ◽  
Road Density ◽  
Road Development ◽  
Spatio Temporal ◽  
Dominant Direction ◽  
Dynamics Of Populations

SUMMARYThere is burgeoning interest in predicting road development because of the wide ranging important socioeconomic and environmental issues that roads present, including the close links between road development, deforestation and biodiversity loss. This is especially the case in developing nations, which are high in natural resources, where road development is rapid and often not centrally managed. Characterization of large scale spatio-temporal patterns in road network development has been greatly overlooked to date. This paper examines the spatio-temporal dynamics of road density across the Brazilian Amazon and assesses the relative contributions of local versus neighbourhood effects for temporal changes in road density at regional scales. To achieve this, a combination of statistical analyses and model-data fusion techniques inspired by studies of spatio-temporal dynamics of populations in ecology and epidemiology were used. The emergent development may be approximated by local growth that is logistic through time and directional dispersal. The current rates and dominant direction of development may be inferred, by assuming that roads develop at a rate of 55 km per year. Large areas of the Amazon will be subject to extensive anthropogenic change should the observed patterns of road development continue.

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