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Dispersal barriers have demographic, evolutionary and ecosystem-wide consequences. With ongoing changes in the environment, it is likely that some dispersal barriers will disappear while others will appear, and it is crucial to understand these dynamics to forecast species distributions and adaptive potential. Here we review recent literature on the ecological and evolutionary aspects of dispersal

Species-based ecological indices, such as Ellenberg indicators, reflect plant habitat preferences and can be used to describe local environment conditions. One disadvantage of using vegetation data as a substitute for environmental data is the fact that extensive floristic sampling can usually only be carried out at a plot scale within limited geographical areas. Remotely sensed data have the pote

Carrier Sense Multiple Access (CSMA) based distributed algorithms can attain the largest capacity region asthe centralized Max-Weight policy does. Despite their capabilityof achieving throughput-optimality, these algorithms can eitherincur large delay and have large complexity or only operateover non-fading channels. In this letter, by assuming arbitraryback-off time we first propose a fully distr

It has been known that load unaware channel selection in 802.11 networks results in high level interference, and can significantly reduce the network throughput. In current implementation, the only way to determine the traffic load on a channel is to measure that channel for a certain duration of time. Therefore, in order to find the best channel with the minimum load all channels have to be measu

Dynamic Adaptive Streaming over HTTP (DASH)constitutes a large fraction of traffic in the mobile Internet.Mobile devices often use video delivery over Wi-Fi, which is asignificant energy drain. Dynamic Power Saving Mode (DPSM)is one of the most widely-used approaches for Wi-Fi devices tosave power and shorten packet delay. However, DPSM uses afixed timeout before a device goes to sleep, leading to

Forestry and nature conservation can benefit from rapid on-line information on forest disturbances, such as insect attacks. This type of information would facilitate timely field studies and enable more rapid counter measures, as well as enable studies of the dynamics of an insect outbreak. In this study we developed a method based on MODIS derived NDVI for near real-time monitoring of insect indu

Recently, IEEE 802.11ax Task Group has adapted OFDMA as a new technique for enabling multi-user transmission. It has been also decided that the scheduling duration should be same for all the users in a multi-user OFDMA so that the transmission of the users should end at the same time. In order to realize that condition, the users with insufficient data should transmit null data (i.e. padding) to f

Tree phenology has been recognized as an important indicator of climate change, and a wide range of budburst models have been developed. The models differ in temperature sensitivity, and the choice of model can therefore influence the result of climate impact assessments. In this study we compared the ability of 15 models to simulate budburst of the main forest tree species in Sweden. Records on t

In this study, we systematically assess the spatial variability in carbon and nitrogen balance simulations related to the choice of global circulation models (GCMs), representative concentration pathways (RCPs), spatial resolutions, and the downscaling methods used as calculated with LPJ-GUESS. We employed a complete factorial design and performed 24 simulations for Europe with different climate i

We analyze the impacts of changing dry season length and intensity on vegetation productivity and biomass. Our results show a wetness asymmetry in dry ecosystems, with dry seasons becoming drier and wet seasons becoming wetter, likely caused by climate change. The increasingly intense dry seasons were consistently correlated with a decreasing trend in net primary productivity (NPP) and biomass fro

We present a modelling framework to simulate probabilistic futures of global cropland areas that are conditional on the SSP (shared socio-economic pathway) scenarios. Simulations are based on the Parsimonious Land Use Model (PLUM) linked with the global dynamic vegetation model LPJ-GUESS (Lund-Potsdam-Jena General Ecosystem Simulator) using socio-economic data from the SSPs and climate data from t

Rice paddy agro-ecosystems play an important role in global carbon (C) sequestration. Because of flooding management, paddy soil experience periodical changes in oxygen availability, which may make soil organic carbon (SOC) mineralisation unique as compared to upland or other wetland ecosystems. However, at present, information about the relevant mechanisms involved in paddy SOC mineralisation is

Root exudates are a labile source of carbon (C) for microorganisms that can lead to increased CO2 emission. Root exudates can vary in C:N stoichiometric ratio and their impact on microbially driven soil organic matter (SOM) turnover in paddy soils still remains unclear. The objective was to explore the underlying mechanisms involved in SOM decomposition due to root exudate (artificial) addition wi

Soil freezing/thawing is an important mechanism to control soil water and heat redistribution in mid-to-high latitudes. Salt in the agricultural soil from mid-to-high latitudes can alter characteristics of soil freezing/thawing cycle and then affect soil thermal and hydrological processes in winter and finally cause salinization in spring. To quantify the impacts of soil salinization on soil water

Scholarly literature on science-policy interaction is typically dividedbetween advocating that science and policy need to be broughtcloser together or separated. In a recent article in this journal,Sundqvist and colleagues [Sundqvist et al. (2018) Oneworld ortwo? Science–policy interactions in the climate field, Critical PolicyStudies, 12:4, 448–468] proposed a typology that structures thisdebate.

There is significant interest from the medical andneuroscience communities for studying the behavior of zebrafishlarvae, particularly in the context of drug testing. In this paper, wepropose a method for analyzing the behavior of zebrafish larvaein a high-throughput system using automatic image analysis.Specifically, algorithms for estimating the poses of the larvae invideo recordings are presente