Transcranial Magnetic Stimulation Reveals Attentional Feedback to Area V1 during Serial Visual Search

Visual search tasks have been used to understand how, where and when attention influences visual processing. Current theories suggest the involvement of a high-level “saliency map” that selects a candidate location to focus attentional resources. For a parallel (or “pop-out”) task, the first chosen location is systematically the target, but for a serial (or “difficult”) task, the system may cycle on a few distractors before finally focusing on the target. This implies that attentional effects upon early visual areas, involving feedback from higher areas, should be visible at longer latencies during serial search. A previous study from Juan & Walsh (2003) had used Transcranial Magnetic Stimulation (TMS) to support this conclusion; however, only a few post-stimulus delays were compared, and no control TMS location was used. Here we applied TMS double-pulses (sub-threshold) to induce a transient inhibition of area V1 at every post-stimulus delay between 100 ms and 500 ms (50 ms steps). The search array was presented either at the location affected by the TMS pulses (previously identified by applying several pulses at supra-threshold intensity to induce phosphene perception), or in the opposite hemifield, which served as a retinotopically-defined control location. Two search tasks were used: a parallel (+ among Ls) and a serial one (T among Ls). TMS specifically impaired the serial, but not the parallel search. We highlight an involvement of V1 in serial search 300 ms after the onset; conversely, V1 did not contribute to parallel search at delays beyond 100 ms. This study supports the idea that serial search differs from parallel search by the presence of additional cycles of a select-and-focus iterative loop between V1 and higher-level areas

Landsat time series reveal simultaneous expansion and intensification of irrigated dry season cropping in Southeastern Turkey

Long-term monitoring of the extent and intensity of irrigation systems is needed to track crop water consumption and to adapt land use to a changing climate. We mapped the expansion and changes in the intensity of irrigated dry season cropping in Turkey´s Southeastern Anatolia Project annually from 1990 to 2018 using Landsat time series. Irrigated dry season cropping covered 5,779 km² (± 479 km²) in 2018, which represents an increase of 617% over the study period. Dry season cropping was practiced on average every second year, but spatial variability was pronounced. Increases in dry season cropping frequency were observed on 40% of the studied croplands. The presented maps enable the identification of land use intensity hotspots at 30 m spatial resolution, and can thus aid in assessments of water consumption and environmental degradation. All maps are openly available for further use at https://doi.org/10.5281/zenodo.4287661.Peer Reviewe

Post-Soviet changes in cropping practices in the irrigated drylands of the Aral Sea basin

Water withdrawals for irrigated crop production constitute the largest source of freshwater consumption on Earth. Monitoring the dynamics of irrigated crop cultivation is crucial for tracking crop water consumption, particularly in water-scarce areas. We analyzed changes in water-dependent crop cultivation for 650 000 km2 of Central Asian drylands, including the entire basin of the Amu Darya river, once the largest tributary to the Aral Sea before large-scale irrigation projects grossly reduced the amount of water reaching the river delta. We used Landsat time series to map overall cropland extent, dry season cropping, and cropping frequency in irrigated croplands annually from 1987 to 2019. We scrutinized the emblematic change processes of six localities to discern the underlying causes of these changes. Our unbiased area estimates reveal that between 1988 and 2019, irrigated dry season cropping declined by 1.34 million hectares (Mha), while wet season and double cropping increased by 0.64 Mha and 0.83 Mha, respectively. These results show that the overall extent of cropland in the region remained stable, while higher cropping frequency increased harvested area. The observed changes’ overall effect on water resource use remains elusive: Following the collapse of the Soviet Union, declining dry season cultivation reduced crop water demand while, more recently, increasing cropping frequency raised water consumption. Our analysis provides the first fine-scale analysis of post-Soviet changes in cropping practices of the irrigated areas of Central Asia. Our maps are openly available and can support future assessments of land-system trajectories and, coupled with evapotranspiration estimates, changes in crop water consumption.Volkswagen Foundationhttp://dx.doi.org/10.13039/501100001663Fonds De La Recherche Scientifique - FNRShttp://dx.doi.org/10.13039/501100002661Peer Reviewe

Revisiting the Past: Replicability of a Historic Long-Term Vegetation Dynamics Assessment in the Era of Big Data Analytics

Open and analysis-ready data, as well as methodological and technical advancements have resulted in an unprecedented capability for observing the Earth’s land surfaces. Over 10 years ago, Landsat time series analyses were inevitably limited to a few expensive images from carefully selected acquisition dates. Yet, such a static selection may have introduced uncertainties when spatial or inter-annual variability in seasonal vegetation growth were large. As seminal pre-open-data-era papers are still heavily cited, variations of their workflows are still widely used, too. Thus, here we quantitatively assessed the level of agreement between an approach using carefully selected images and a state-of-the-art analysis that uses all available images. We reproduced a representative case study from the year 2003 that for the first time used annual Landsat time series to assess long-term vegetation dynamics in a semi-arid Mediterranean ecosystem in Crete, Greece. We replicated this assessment using all available data paired with a time series method based on land surface phenology metrics. Results differed fundamentally because the volatile timing of statically selected images relative to the phenological cycle introduced systematic uncertainty. We further applied lessons learned to arrive at a more nuanced and information-enriched vegetation dynamics description by decomposing vegetation cover into woody and herbaceous components, followed by a syndrome-based classification of change and trend parameters. This allowed for a more reliable interpretation of vegetation changes and even permitted us to disentangle certain land-use change processes with opposite trajectories in the vegetation components that were not observable when solely analyzing total vegetation cover. The long-term budget of net cover change revealed that vegetation cover of both components has increased at large and that this process was mainly driven by gradual processes. We conclude that study designs based on static image selection strategies should be critically evaluated in the light of current data availability, analytical capabilities, and with regards to the ecosystem under investigation. We recommend using all available data and taking advantage of phenology-based approaches that remove the selection bias and hence reduce uncertainties in results.Peer Reviewe

A global to regional scale assessment of dam-induced agricultural change by means of remote sensing

Landwirtschaftliche Produktionssysteme basieren in vielen Weltregionen auf dem Einsatz von Bewässerung. Staudämme stellen einen Großteil der benötigten Wasserressourcen, jedoch wurden Zusammenhänge zwischen Staudämmen und Veränderungen im Landsystem bis heute kaum erforscht. Im Hinblick auf die steigende Nachfrage nach landwirtschaftlichen Erzeugnissen bedarf es eines besseren Verständnisses des Zusammenhangs zwischen Staudämmen, Bewässerung und landwirtschaftlichen Produktionssystemen. Daten und Methoden der Fernerkundung liefern synoptische und räumlich detaillierte Aufnahmen der Erdoberfläche mit großem Potential für die Untersuchung von landwirtschaftlichen Produktionssystemen. Das Hauptziel dieser Arbeit war es, das gegenwärtige Verständnis des Zusammenhangs von Bewässerungsstaudämmen und Landsystemen mit Mitteln der Fernerkundung zu verbessern. In dieser Arbeit wurden großflächige Beschreibungen globaler und regionaler Agrarsysteme generiert, welche nachdrücklich das Potential von Daten und Methoden aus der Fernerkundung hervorheben. Das hohe thematische, räumliche und zeitliche Detail der Ergebnisse erlaubte einzigartige Einblicke in die raumzeitlichen Dynamiken von Bewässerungsfeldwirtschaft. Die im Zuge dieser Arbeit entstandenen Ergebnisse, Methoden, und Datensätze tragen maßgeblich zum heutigen Wissensstand in Bezug auf den Zusammenhang zwischen Bewässerungsstaudämmen und Landnutzungsintensität bei und liefern wichtige Einblicke zur Verbesserung zukünftiger Produktionsstrukturen.A growing world population, and increasing demands for food, feed, fuel and fiber, substantially add pressure on the global land system. The construction of dams is a common strategy for boosting production outputs through irrigation. Reservoirs represent the most important source of irrigation water globally, but their effects on agricultural land systems are only poorly understood. Remote sensing emerges as a key tool for enabling spatially explicit assessments of dam-induced land system change due to its ability to provide spatially detailed, frequent, and synoptic observations of the land surface. The overall goal of this thesis was to assess the effects of irrigation dams on agricultural land systems on a global and regional scale, by making use of state-of-the art remote sensing data products and methods. A synthesis of the current scientific literature offered primary insights into dam-induced changes in agricultural systems, and raised the hypothesis that irrigation dams caused overall increases in agricultural land use intensity. On a global scale, satellite-based measurements of cropping frequency derived from MODIS-based map products attested to this finding, albeit a strong regional variability was apparent. Landsat-based time series methods were used on a national to regional scale, which further revealed strong spatio-temporal dynamics of irrigated agriculture. The results of this thesis add knowledge and spatially explicit insights on the effects of dams on agricultural land systems. The work further emphasizes the important role of remote sensing technologies in exploring future pathways of agricultural intensification

Uncertainty in Drought Identification Due to Data Choices, and the Value of Triangulation

Droughts are complex and gradually evolving conditions of extreme water deficits which can compromise livelihoods and ecological integrity, especially in fragile arid and semi-arid regions that depend on rainfed farming, such as Kitui West in south-eastern Kenya. Against the background of low ground-station density, 10 gridded rainfall products and four gridded temperature products were used to generate an ensemble of 40 calculations of the Standardized Precipitation Evapotranspiration Index (SPEI) to assess uncertainties in the onset, duration, and magnitude of past droughts. These uncertainties were driven more by variations between the rainfall products than variations between the temperature products. Remaining ambiguities in drought occurrence could be resolved by complementing the quantitative analysis with ground-based information from key informants engaged in disaster relief, effectively formulating an ensemble approach to SPEI-based drought identification to aid decision making. The reported trend towards drier conditions in Eastern Africa was confirmed for Kitui West by the majority of data products, whereby the rainfall effect on those increasingly dry conditions was subtler than just annual and seasonal declines and greater annual variation of rainfall, which requires further investigation. Nevertheless, the effects of increasing droughts are already felt on the ground and warrant decisive action.Peer Reviewe

Les médicaments non utilisés (état des lieux en Midi-Pyrénées et perspectives de leur valorisation)

Après l'étude des déchets issus du médicament et leurs modalités d'élimination, nous avons étudié l'origine des médicaments non utilisés. Grâce à deux questionnaires que nous avons soumis aux pharmaciens de la région Midi-Pyrénées ainsi qu'aux consommateurs dans et hors des officines, nous avons analysé la perception du dispositif de collecte Cyclamed® mis en place en 1995. Après la remise en cause de ce système pas l'Inspection générale des affaires sociales, j'ai rencontré les acteurs du circuit du médicament afin d'envisager les perspectives d'évolution de ce système. Enfin, pour étudier la valorisation des médicaments non utilisés en France et à l'étranger, j'ai visité les centres de tri de la région toulousaine et participé à une mission en Mongolie. Ce travail aboutit à une réflexion sur l'optimisation de la valorisation des médicaments non utilisésTOULOUSE3-BU Santé-Centrale (315552105) / SudocSudocFranceF

The Phase of Ongoing Oscillations Mediates the Causal Relation between Brain Excitation and Visual Perception.

International audienceWhy does neuronal activity in sensory brain areas sometimes give rise to perception, and sometimes not? Although neuronal noise is often invoked as the key factor, a portion of this variability could also be due to the history and current state of the brain affecting cortical excitability. Here we directly test this idea by examining whether the phase of prestimulus oscillatory activity is causally linked with modulations of cortical excitability and with visual perception. Transcranial magnetic stimulation (TMS) was applied over human visual cortex to induce illusory perceptions (phosphenes) while electroencephalograms (EEGs) were simultaneously recorded. Subjects reported the presence or absence of an induced phosphene following a single pulse of TMS at perceptual threshold. The phase of ongoing alpha (∼10 Hz) oscillations within 400 ms before the pulse significantly covaried with the perceptual outcome. This effect was observed in occipital regions around the site of TMS, as well as in a distant frontocentral region. In both regions, we found a systematic relationship between prepulse EEG phase and perceptual performance: phosphene probability changed by ∼15% between opposite phases. In summary, we provide direct evidence for a chain of causal relations between the phase of ongoing oscillations, neuronal excitability, and visual perception: ongoing oscillations create periodic "windows of excitability," with sensory perception being more likely to occur at specific phases

Quantification of Ownership Concentration from Cadastral Records of Agricultural Land in Märkisch-Oderland

Concentration of ownership of agricultural land in fewer hands has often been highlighted as a side effect of the increasing capital resources that are allocated to the agricultural sector. One key concern is that, as more land concentrates in fewer hands, the few large actors can exert power on land markets by dominating prices through regulating supply and demand of land. Unfortunately, empirical evidence on the degree of market power on land markets remains scarce, mainly due to a lack of ownership data. We shed light on the concentration of ownership in agricultural land by analyzing the complete cadastral records of agricultural land at one point in time and for one district in the federal state of Brandenburg. We present the workflow to process the cadastral data for subsequent analysis in GIS and statistical software packages. For our study area, we derive relative and absolute concentration measures for the ownership in agricultural land. Our results suggest high relative concentration on the district level with a Gini coefficient of 0.85. Within the district, we see varying degrees of land concentration, albeit spatial clusters of high and low concentration. Our methodological approach holds great promise because it can be expanded to larger areas and different time periods. However, the cadastral data does not allow to infer on the underlying corporate structures, such as those of large investors who may own several agricultural companies. Such corporative structures may, through their local subsidiaries that could be spatially clustered, exert market power to the detriment of local land supply markets. Additional data and analysis using, for example, registers of company registers, need to be combined with the cadastral data to reveal such structures