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Aim: While it is now well accepted that human activities are having pronounced effects on natural ecosystems, regional variation in the rate and magnitude of various human impacts is unclear. Moreover, the effects of land use change on natural aquatic communities have only relatively recently begun to be explored. Our goal was to understand how and where assemblages of a central food web component of freshwater lakes have changed over the course of industrialization in relation to land use. Location: Canada. Time period: Pre‐1880 AD to present. Major taxa studied: Cladoceran zooplankton. Methods: As part of the Natural Sciences and Engineering Research Council (NSERC) Canadian Lake Pulse Network, we selected 101 lakes across Canada along a gradient of human impact to analyse subfossil cladoceran assemblages from sediment cores. We examined relationships between taxonomic and functional indicators of cladoceran assemblage change among lakes and through time. Results: Contemporary assemblages were taxonomically and functionally less diverse locally relative to pre‐industrial assemblages (α‐diversity) and were structured by the degree of human impact in watersheds. Local α‐diversity losses were greatest in highly impacted lakes where agriculture and pasture are prevalent. While spatial homogenization (spatial β‐diversity) did not increase since pre‐industrial times as expected, temporal turnover (temporal β‐diversity) showed a non‐significant but increasing trend in highly impacted lakes, especially in urbanized watersheds. Main conclusions: Cladoceran assemblages have changed significantly over the course of the Industrial period, and especially in more highly impacted watersheds, underscoring the important role of watershed land use in shaping diversity. However, indicators of cladoceran function have remained relatively conserved over time and land use change showed little impact on β‐diversity, despite important environmental variation. Overall, this research furthers our understanding of the health status of Canadian lakes and the consequences of human activities, especially agriculture and urbanization, on lake zooplankton. [ABSTRACT FROM AUTHOR]

Tropical dry forests (TDFs) are one of the most threatened ecosystems worldwide. Two hypotheses have been proposed to explain the origin of TDFs in South America: the Amazonian TDF hypothesis and the Pleistocene Arc hypothesis (PAH). There is a need to evaluate the distribution patterns of different organisms across the TDF distribution. We tested the following hypotheses: the species composition is determined by historical‐evolutionary events, and therefore, the TDFs have a similar species composition as predicted by the PAH. Alternatively, the species composition is determined by recent ecological processes, and therefore, the TDFs have a sharing of species to their respective adjacent dominant habitat, with no support for the PAH. We expect that climatic factors drive the species richness, abundance and species dissimilarity (β‐diversity) between TDFs and adjacent habitats across the latitudinal gradient. We sampled dung beetles across six Brazilian states in TDF fragments and adjacent dominant habitats and obtained the climatic conditions across the gradient. We used the β‐diversity partition and generalised linear models to test our hypotheses. We sampled 8,625 dung beetles representing 102 species. Sorensen dissimilarity was higher among TDFs than between TDFs and adjacent habitats and was mostly due to the substitution of species. Annual mean temperature had a positive effect on abundance in TDFs but did not affect species richness. Species substitution (Podani's approach) between TDFs and adjacent habitats decreased with mean diurnal range of temperature, while nestedness patterns (Baselga's approach) increased with annual precipitation. Depending on the approach used (Baselga's vs. Podani's), we can obtain different results across the latitudinal gradient. The composition and structure of dung beetle assemblages in TDFs are mostly determined by more recent regional‐to‐local ecological processes since each TDF has a unique evolutionary history and a different dung beetle species composition. Our results do not support the Pleistocene Arc hypothesis. [ABSTRACT FROM AUTHOR]

Big data have become readily available to explore patterns in large-scale disease ecology. However, the rate at which these public databases are exploited remains unknown. We highlight trends in big data usage in disease ecology during the past decade and encourage researchers to integrate big data into their study framework. [ABSTRACT FROM AUTHOR]

The present study investigates 10–20‐day intra‐seasonal oscillation (10–20‐day ISO) of the 29‐year daily observed rainfall in north, central, and south Vietnam in rainy seasons. The 10–20‐day band‐pass Lanczos filter is applied to the time series of the regional daily rainfall, daily reanalysis fields, and outgoing long‐wave radiation. The 10–20‐day ISO in north Vietnam is governed by the alternate occurrence of moisture flux divergence (convergence), which may regulate local lagged conditionally unstable (stable) anomalies. In south Vietnam, the dry (wet) phase is determined by moisture flux divergence (convergence) associated with anticyclonic (cyclonic) gyres that are destroyed later by lagged unstable (stable) anomalies that evolve within the gyres. In both cases, the alternate occurrence of the conditionally unstable and stable anomalies reverses moisture flux and circulations not only over the regions but also in the tropical Indian Ocean in the form of equatorial Rossby waves. The wet phase in central Vietnam is uniquely caused by moisture flux convergence, instead of local unstable condition, which is associated with southwards propagation of cold dry air masses (or cold surges) from the Eurasian continent. Topography also plays an important role in modulating the 10–20‐day ISO, especially in central Vietnam as it helps block northeasterly winds associated with cold air masses. [ABSTRACT FROM AUTHOR]

Global Climate Model (GCM) projections suggest that drought will increase across large areas of the globe, but lack skill at simulating climate variations at local-scales where adaptation decisions are made. As such, GCMs are often downscaled using statistical methods. This study develops a 3-step framework to assess the use of large-scale environmental patterns to assess local precipitation in statistically downscaling to local drought. In Step 1, two statistical downscaling models are developed: one based on temperature and precipitation and another based on temperature and a large-scale predictor that serves as a proxy for precipitation. A key component is identifying the large-scale predictor, which is customized for the location of interest. In Step 2, the statistical models are evaluated using NCEP/NCAR Reanalysis data. In Step 3, we apply a large ensemble of future GCM projections to the statistical models. The technique is demonstrated for predicting drought, as measured by the Palmer Drought Severity Index, in South-central Oklahoma, but the framework is general and applicable to other locations. Case study results using the Reanalysis show that the large-scale predictor explains slightly more variance than precipitation when predicting local drought. Applying future GCM projections to both statistical models indicates similar drying trends, but demonstrates notable internal variability. The case study demonstrates: (1) where a large-scale predictor performs comparably (or better) than precipitation directly, then it is an appealing predictor choice to use with future projections, (2) when statistically downscaling to local scales, it is critical to consider internal variability, as it may be more important than predictor selection. [ABSTRACT FROM AUTHOR]

The quasi-biweekly oscillation (QBWO) is the second most dominant intraseasonal mode over the western North Pacific (WNP) during boreal summer. In this study, the modulation of WNP tropical cyclogenesis (TCG) by the QBWO and its association with large-scale patterns are investigated. A strong modulation of WNP TCG events by the QBWO is found. More TCG events occur during the QBWO's convectively active phase. Based on the genesis potential index (GPI), we further evaluate the role of environmental factors in affecting WNP TCG. The positive GPI anomalies associated with the QBWO correspond well with TCG counts and locations. A large positive GPI anomaly is spatially correlated with WNP TCG events during a life cycle of the QBWO. The low-level relative vorticity and mid-level relative humidity appear to be two dominant contributors to the QBWO-composited GPI anomalies during the QBWO's active phase, followed by the nonlinear and potential intensity terms. These positive contributions to the GPI anomalies are partly offset by the negative contribution from the vertical wind shear. During the QBWO's inactive phase, the mid-level relative humidity appears to be the largest contributor, while weak contributions are also made by the nonlinear and low-level relative vorticity terms. Meanwhile, these positive contributions are partly cancelled out by the negative contribution from the potential intensity. The contributions of these environmental factors to the GPI anomalies associated with the QBWO are similar in all five flow patterns-the monsoon shear line, monsoon confluence region, monsoon gyre, easterly wave, and Rossby wave energy dispersion associated with a preexisting TC. Further analyses show that the QBWO strongly modulates the synoptic-scale wave trains (SSWs) over the WNP, with larger amplitude SSWs during the QBWO's active phase. This implies a possible enhanced (weakened) relationship between TCG and SSWs during the active (inactive) phase. This study improves our understanding of the modulation of WNP TCG by the QBWO and thus helps with efforts to improve the intraseasonal prediction of WNP TCG. [ABSTRACT FROM AUTHOR]

Estuarine systems support the life cycle stages of commercially important marine fish and are influenced by large and local-scale climatic patterns. In this study, performed in the Mondego estuary, Portugal, we used an 11-year database (2003–2013) for analyzing the variability in the population of a marine juvenile migrant fish, the European sea bass Dicentrarchus labrax , regarding changes in abundance, population structure, growth rates, secondary production and annual day of peak abundance. Higher densities and production occurred in 2003, but no differences in 0-group growth could be observed. In order to detect change points in both biological and climatic data, the cumulative sum (CUSUM) of the deviations from the mean for the 2003–2013 period were determined for each parameter. The relationship between large and local-scale drivers and 0-group biological attributes were evaluated using a Spearman rank correlation analysis of CUSUM of biological and environmental data, considering the correspondent yearly values and with a time-lag of 1 year. The North Atlantic Oscillation (NAO) index, sea surface temperature (SST) and their respective winter values were tested as large-scale factors, while river runoff, salinity and estuarine water temperature were considered as local climate patterns. The significant factors explaining D. labrax 0-group abundance and production were salinity and the NAO, the latter being also a significant predictor considering the 1-year lag. The NAO with 1-year lag was also positively correlated with the day of peak abundance. The early stages of European sea bass were demonstrated to have a climate-dependent life cycle, controlled by variations in both large-scale climatic patterns and local features. In southern European marine populations, the effects of the NAO seem less direct, and dependent on the magnitude of its expressions and on the time scale considered. [ABSTRACT FROM AUTHOR]

Estuarine systems support the life cycle stages of commercially important marine fish and are influenced by large and local-scale climatic patterns. Also, extreme events triggered by climate changes may influence the functioning of nursery grounds and recruitment for several fish species. In this study, performed in the Mondego estuary, Portugal, we used an 11-year database (2003-2013) for analyzing the variability in the population of a marine juvenile migrant fish, the European sea bass Dicentrarchus labrax, regarding changes in abundance, population structure, growth rates and secondary production and annual day of peak abundance. Higher densities and production occurred at the beginning of the study, but no differences in 0-group growth could be observed. In order to detect change points in both biological and climatic data, the cumulative sum (CUSUM) of the deviations from the mean for the 2003-2013 period were determined for each parameter. The relationship between large- and local-scale drivers and 0-group abundance, secondary production and day of peak abundance were evaluated using a Pearson correlation analysis of CUSUM of biological and environmental data, considering the correspondent yearly values and with a time-lag of 1 year. The North Atlantic Oscillation (NAO) index, sea surface temperature (SST) and their respective winter values were tested as large-scale factors, while river runoff, salinity and water temperature were considered as local climate patterns. River runoff was the significant factor explaining D. labrax 0-group abundances and the NAO and water temperature were also significant predictors considering the 1-year lag. Regarding D. labrax 0-group secondary production, salinity and water temperature were the significant predictors. The NAO with 1-year lag was also negatively correlated with the day of peak abundance. The observed variability regarding yearly trends in abundance of juvenile fish was mostly linked to local-scale climate patterns, which can influence habitat use patterns, whereas large-scale factors (NAO, SST) seem to operate at a wider time frame, as observed by the lag of 1-year on their influence on juvenile sea bass abundance.

Aim We tested the energy and metabolic theories for explaining diversity patterns of crustacean zooplankton in Canadian lakes, and evaluated the influence of regional and local environments on community structure. Location The 1665 studied lakes are distributed across Canada in 47 ecoprovinces. Methods Our database included the occurrence of 83 pelagic crustacean species. The regional species richness in each ecoprovince was estimated using the average local species richness per lake and the first-order jackknife diversity index. Using a principal component plot and forward selection in a multiple regression we identified the most important predictors of regional species richness estimates. We tested the predictions of the species richness-energy hypothesis using climatic variables at regional scale, and of the metabolic theory using the inverse of air temperature. To evaluate the influence of regional and local environmental drivers, we carried out a redundancy analysis between crustacean species occurrences and regional climate and lake environmental factors on a subset of 458 lakes. Results Estimates of pelagic crustacean species richness in Canadian ecoprovinces varied from 3 to 10 species per lake (average local species richness) or 8 to 52 species per ecoprovince ( Jackknife diversity index). Our study fully supports the species richness-energy hypothesis and partially the metabolic theory. Mean daily global solar radiation was the most important regional predictor, explaining 51% of the variation in the regional species richness among ecoprovinces. Together, regional climate and local lake environment accounted for 31% of the total variation in community structure. Regional-scale energy variables accounted for 24% of the total explained variation, whereas local-scale lake conditions had less influence (2%). Main conclusions The richness-energy theory explains diversity patterns of freshwater crustacean zooplankton in Canadian ecoprovinces. Solar radiation is the best predictor explaining regional species richness in ecoprovinces and community structure of pelagic crustaceans in Canadian lakes. [ABSTRACT FROM AUTHOR]

Aiming at better understanding the causes and processes leading to meteorological dry and wet episodes in western Iran, the present study investigates the space and time variability of winter dry/wet events and their associated large-scale atmospheric driving circulations. Using monthly precipitation data of 140 weather stations for 1965-2000, meteorological dry/wet spells are assessed through the 1-month Standardized Precipitation Index (SPI). By applying the Principal Component Analysis (PCA) with Varimax rotation to the SPI field, three sub-regions of independent climatic variability are identified. Large-scale daily atmospheric circulation patterns are then classified into twelve circulation types (CTs) by applying PCA to the 500 hPa geopotential height fields coupled with the non-iterative K-means clustering technique, in which extreme rotated principal component scores, in their positive and negative phases, are considered as potential groups and their centroids are computed by averaging all days that fulfil the extreme score criterion. The linkage between daily CTs and winter dry/wet spells in the region is investigated by correlating the frequencies of occurrence of each CT with the time series of dry/wet events, derived from both the rotated principal component scores of SPI and the SPI series at three representative stations of the identified sub-regions. Severe/extreme events have also been considered. A performance index is applied to test the relationship between CTs and dry/wet events. Results show statistically significant correlations between the frequencies of occurrence of the identified CTs and of dry/wet spells at the three representative stations, suggesting that particular CTs are potential predictors for the winter dry/wet events in western Iran. Copyright © 2011 Royal Meteorological Society [ABSTRACT FROM AUTHOR]

ABSTRACT Aim To test for a possible effect of environmental harshness on large-scale latitudinal and elevational patterns in taxon richness of macrofauna in arctic and alpine glacier-fed streams. Location Svalbard (79° N), Iceland (65° N), Norway (62° N), Switzerland and Italy (46° N), France (43° N), New Zealand (43° S) and Ecuador (0°), covering an elevational gradient from sea level to 4800 m a.s.l. Methods We gathered data from 63 sites along 13 streams and created an index of glacial influence (the glacial index, GI) as an integrative proxy for environmental harshness. The explicative power of the GI, environmental variables, latitude and elevation on taxon richness was tested in generalized linear models. Taxon richness along geographical gradients was analysed at standardized levels of GI in contour plots. Beta diversity and assemblage similarity was calculated at different GI intervals and compared with a null-model. Results Overall, taxon richness decreased exponentially with increased GI ( r2= 0.64), and of all included factors, GI had the highest explicative power. At low values of GI we found that local taxon richness varied along the coupled gradients of latitude and elevation in a hump-shaped manner. However, this pattern disappeared at high values of GI, i.e. when environmental harshness increased. Beta diversity increased, while similarity among assemblages decreased towards high GI values. Main conclusions In our study system, the number of taxa able to cope with the harshest conditions was largely independent of the regional taxon pool, and environmental harshness constituted a 'fixed' constraint for local richness, irrespective of latitude and elevation. Contrary to expectations, we found that beta diversity was highest and similarity lowest among the harshest sites, suggesting that taxon richness was not solely driven by niche selection based on environmental tolerances, but also stochastic ecological drift, leading to dispersal-limited communities. [ABSTRACT FROM AUTHOR]

Background and Aims: The botanic gardens of the world are now unmatched ex situ collections of plant biodiversity. They mirror two biogeographical patterns (positive diversity–area and diversity–age relationships) but differ from nature with a positive latitudinal gradient in their richness. Whether these relationships can be explained by socio-economic factors is unknown. [ABSTRACT FROM PUBLISHER]

The article offers information on the Marine Biodiversity and Ecosystem Functioning (MarBEF) at the European Network of Excellence. It presents the three broad themes of MarBEF which marine biodiversity scientists focused, including Theme one which describes the large-scale distribution patterns of marine biodiversity, Theme two which examines the consequences of changes in marine biodiversity for the functioning of marine ecosystems and Theme three which explores and disseminates the socio-economic consequences of changes in marine biodiversity and biodiversity-mediated processes. It also presents a profile for Professor John Gray, who led activities within MarBEF Theme one.

The decline of corals on tropical reefs is usually ascribed to a combination of natural and anthropogenic factors, but the relative importance of these causes remains unclear. In this paper, we attempt to quantify the contribution of hurricanes to Caribbean coral cover decline over the past two decades using meta-analyses. Our study included published and unpublished data from 286 coral reef sites monitored for variable lengths of time between 1980 and 2001. Of these, 177 sites had experienced hurricane impacts during their period of survey. Across the Caribbean, coral cover is reduced by ∼17%, on average, in the year following a hurricane impact. The magnitude of this immediate loss increases with hurricane intensity and with the time elapsed since the last impact. In the following year, no further loss is discernible, but the decline in cover then resumes on impacted sites at a rate similar to the regional background rate of decline for nonimpacted sites. There is no evidence of recovery to a pre-storm state for at least eight years after impact. Overall, coral cover at sites impacted by a hurricane has declined at a significantly faster rate (6% per annum) than nonimpacted sites (2% per annum), due almost exclusively to higher rates of loss in the year after impact in the 1980s. While hurricanes, through their immediate impacts, appear to have contributed to changing coral cover on many Caribbean reefs in the 1980s, the similar decline in coral cover at impacted and nonimpacted sites in the 1990s suggests that other stressors are now relatively more important in driving the overall pattern of change in coral cover in this region. The overall lack of post-hurricane recovery points to a general impairment of the regeneration potential of Caribbean coral reefs. [ABSTRACT FROM AUTHOR]

To assess the influence of land cover and climate on species distributions across Europe. To quantify the importance of land cover to describe and predict species distributions after using climate as the main driver. The study area is Europe. (1) A multivariate analysis was applied to describe land-cover distribution across Europe and assess if the land cover is determined by climate at large spatial scales. (2) To evaluate the importance of land cover to predict species distributions, we implemented a spatially explicit iterative procedure to predict species distributions of plants (2603 species), mammals (186 species), breeding birds (440 species), amphibian and reptiles (143 species). First, we ran bioclimatic models using stepwise generalized additive models using bioclimatic variables. Secondly, we carried out a regression of land cover (LC) variables against residuals from the bioclimatic models to select the most relevant LC variables. Finally, we produced mixed models including climatic variables and those LC variables selected as decreasing the residual of bioclimatic models. Then we compared the explanatory and predictive power of the pure bioclimatic against the mixed model. (1) At the European coarse resolution, land cover is mainly driven by climate. Two bioclimatic axes representing a gradient of temperature and a gradient of precipitation explained most variation of land-cover distribution. (2) The inclusion of land cover improved significantly the explanatory power of bioclimatic models and the most relevant variables across groups were those not explained or poorly explained by climate. However, the predictive power of bioclimatic model was not improved by the inclusion of LC variables in the iterative model selection process. Climate is the major driver of both species and land-cover distributions over Europe. Yet, LC variables that are not explained or weakly associated with climate (inland water, sea or arable land) are interesting to describe particular mammal, bird and tree distributions. However, the addition of LC variables to pure bioclimatic models does not improve their predictive accuracy. [ABSTRACT FROM AUTHOR]