scholarly journals Biodiversity response to natural gradients of multiple stressors on continental margins

2016 ◽  
Vol 283 (1829) ◽  
pp. 20160637 ◽  
Author(s):  
Erik A. Sperling ◽  
Christina A. Frieder ◽  
Lisa A. Levin

Sharp increases in atmospheric CO 2 are resulting in ocean warming, acidification and deoxygenation that threaten marine organisms on continental margins and their ecological functions and resulting ecosystem services. The relative influence of these stressors on biodiversity remains unclear, as well as the threshold levels for change and when secondary stressors become important. One strategy to interpret adaptation potential and predict future faunal change is to examine ecological shifts along natural gradients in the modern ocean. Here, we assess the explanatory power of temperature, oxygen and the carbonate system for macrofaunal diversity and evenness along continental upwelling margins using variance partitioning techniques. Oxygen levels have the strongest explanatory capacity for variation in species diversity. Sharp drops in diversity are seen as O 2 levels decline through the 0.5–0.15 ml l −1 (approx. 22–6 µM; approx. 21–5 matm) range, and as temperature increases through the 7–10°C range. p CO 2 is the best explanatory variable in the Arabian Sea, but explains little of the variance in diversity in the eastern Pacific Ocean. By contrast, very little variation in evenness is explained by these three global change variables. The identification of sharp thresholds in ecological response are used here to predict areas of the seafloor where diversity is most at risk to future marine global change, noting that the existence of clear regional differences cautions against applying global thresholds.

2021 ◽  
Author(s):  
Aristides Moustakas

Abstract Disease spread is a complex phenomenon requiring an interdisciplinary approach. Covid-19 exhibited a global spatial spread in a very short time frame resulting in a global pandemic. Data of new Covid-19 cases per million were analysed worldwide at the spatial scale of a country and time replicated from the end of December 2019 to late May 2020. Data driven analysis of epidemiological, economic, public health, and governmental intervention variables was performed in order to select the optimal variables in explaining new Covid-19 cases across all countries in time. Sequentially, hierarchical variance partitioning of the optimal variables was performed in order to quantify the independent contribution of each variable in the total variance of new Covid-19 cases per million. Results indicated that from the variables available new tests per thousand explained the vast majority of the total variance in new cases (51.6%) followed by the governmental stringency index (15.2%). Availability of hospital beds per 100k inhabitants explained 9% extreme poverty explained 8.8%, hand washing facilities 5.3%, the fraction of the population aged 65 or older explained 3.9%, and other disease prevalence (cardiovascular diseases plus diabetes) explained 2.9%. The percentage of smokers within the population explained 2.6% of the total variance, while population density explained 0.6%.


2021 ◽  
Author(s):  
Attila Lengyel ◽  
Sándor Barabás ◽  
Boglárka Berki ◽  
Anikó Csecserits ◽  
Adrienn Gyalus ◽  
...  

AbstractA straightforward way to explore variation between communities is to calculate dissimilarity indices and relate them with environmental and spatial variables. Communities are most often represented by the (relative) abundances of taxa they comprise; however, more recently, the distribution of traits of organisms included in the communities has been shown more strongly related to ecosystem properties. In this study, we test whether taxon- or trait-based dissimilarity is correlated more tightly with environmental difference and geographical distance and how the abundance scale influences this correlation. Our study system is grassland vegetation in Hungary, where we sampled vegetation plots spanning a long productivity gradient from open dry grasslands to marshes in three sites. We considered three traits for vascular plants: canopy height, specific leaf area and seed mass. We obtained field estimates of normalized vegetation difference index (NDVI) as proxy of productivity (water availability) for each plot. We calculated between-community dissimilarities using a taxon-based and a trait-based index, using raw and square-root transformed abundances and presence/absence data. We fitted distance-based redundancy analysis models with NDVI difference and geographical distance on the dissimilarity matrices and evaluated them using variance partitioning. Then, using the pooled data, we calculated non-metric multidimensional scaling ordinations (NMDS) from all types of dissimilarity matrices and made pairwise comparisons using Procrustes analysis. Data analysis was done separately for the three sites.We found that taxonomical dissimilarity matches environmental and spatial variables better when presence/absence data is used instead of abundance. This pattern was mainly determined by the increasing variation explained by space at the presence/absence scale. In contrast to this trend, with trait-based dissimilarity, accounting for abundance increased explained variation significantly due to the higher explanatory power of NDVI. With abundance data, considering traits improved environmental matching to a great extent in comparison with taxonomical information. However, with presence/absence data, traits brought no advantage over taxon-based dissimilarity in any respect. Changing the abundance scale caused larger difference between ordinations in the case of trait-based dissimilarity than with taxonomical dissimilarity.We conclude that considering relevant traits improves environmental matching only if abundances are also accounted for.Supporting informationAdditional graphs supporting the results are presented as appendix.Open researchData used in this research are publicly available from Dryad ###link to be supplied upon acceptance###


2018 ◽  
Vol 285 (1879) ◽  
pp. 20180285 ◽  
Author(s):  
J. Côte ◽  
A. Boniface ◽  
S. Blanchet ◽  
A. P. Hendry ◽  
J. Gasparini ◽  
...  

The role of parasites in shaping melanin-based colour polymorphism, and the consequences of colour polymorphism for disease resistance, remain debated. Here we review recent evidence of the links between melanin-based coloration and the behavioural and immunological defences of vertebrates against their parasites. First we propose that (1) differences between colour morphs can result in variable exposure to parasites, either directly (certain colours might be more or less attractive to parasites) or indirectly (variations in behaviour and encounter probability). Once infected, we propose that (2) immune variation between differently coloured individuals might result in different abilities to cope with parasite infection. We then discuss (3) how these different abilities could translate into variable sexual and natural selection in environments varying in parasite pressure. Finally, we address (4) the potential role of parasites in the maintenance of melanin-based colour polymorphism, especially in the context of global change and multiple stressors in human-altered environments. Because global change will probably affect both coloration and the spread of parasitic diseases in the decades to come, future studies should take into account melanin-based coloration to better predict the evolutionary responses of animals to changing disease risk in human-altered environments.


Author(s):  
David S. Bieri

This chapter investigates several aspects of how local economic development and growth are shaped by regional differences in industrial structure on the one hand and interregional linkages on the other hand. The author begins by proposing an alternative regional classification of regions for U.S. Metropolitan Statistical Areas (MSAs) on the basis of clusters that were formed by principal component analysis from economic variables that are relevant for regional growth. These variables include labor productivity growth, measures of local industry mix, human capital, entrepreneurship, and innovation. He then uses these growth-based regional clusters to control the presence of cluster-specific fixed-effects when explaining the spatial characteristics of urban specialization and concentration in the United States. The empirical validity of these new economic regions are evaluated against alternative established classifications such as the BEA Regions, Crone’s (2005) Economic Regions, the Census Regions, and the Federal Reserve Districts. Looking specifically at the empirics of regional growth both in a traditional ß-convergence setting as well as a dynamic panel setting, the author examines the explanatory power of regional differences in economic structure such as industry concentration, employment specialization, and sectoral diversity.


2019 ◽  
Vol 18 (2) ◽  
pp. 64-78 ◽  
Author(s):  
John Pitts

Purpose The purpose of this paper is to consider what the author might call the evolution of the evolutionary argument about gangs and, while acknowledging its explanatory power, suggests that gangs may develop in very different ways depending on the available opportunities, pre-existing forms of criminality in the areas in which gangs emerge and global change. Design/methodology/approach It is based on a review of the relevant literature and interviews with purposive samples of research, criminal justice and social welfare professionals and young people involved in or affected by gang crime. Findings were triangulated with data held by the police and other public authorities. Findings The term “street gang” includes a wide variety of groupings all of which are involved in some form of crime but with differential levels of organisation and commitment to purely instrumental goals. Gangs may form but not necessarily evolve. Gangs appear to develop in very different ways depending on the available opportunities, pre-existing forms of criminality in the areas in which they emerge and global changes in drugs markets. Originality/value The originality of the paper consists in its interrogation of the concept of “gang evolution” and its discussion of the variety of forms and evolutionary trajectories of gangs.


2018 ◽  
Author(s):  
Luca Telesca ◽  
Lloyd S. Peck ◽  
Trystan Sanders ◽  
Jakob Thyrring ◽  
Mikael K. Sejr ◽  
...  

ABSTRACTAlthough geographic patterns of species’ sensitivity to global environmental changes are defined by interacting multiple stressors, little is known about the biological mechanisms shaping regional differences in organismal vulnerability. Here, we examine large-scale spatial variations in biomineralisation under heterogeneous environmental gradients of temperature, salinity and food availability across a 30° latitudinal range (3,334 km), to test whether plasticity in calcareous shell production and composition, from juveniles to large adults, mediates geographic patterns of resilience to climate change in critical foundation species, the mussels Mytilus edulis and M. trossulus. We find mussels produced thinner shells with a higher organic content in polar than temperature regions, indicating decreasing shell calcification towards high latitudes. Salinity was the major driver of regional differences in mussel shell deposition, and in shell mineral and organic composition. In low-salinity environments, the production of calcite and organic shell layers was increased, providing higher resistance against dissolution in more corrosive waters. Conversely, under higher-salinity regimes, increased aragonite deposition suggests enhanced mechanical protection from predators. Interacting strong effects of decreasing salinity and increasing food availability on the compositional shell plasticity in polar and subpolar mussels during growth predict the deposition of a thicker external organic layer (periostracum) under forecasted future environmental conditions. This marked response potential of Mytilus species suggests a capacity for increased protection of high-latitude mussel populations from ocean acidification. Our work illustrates that mechanisms driving plastic responses to the spatial structure of multiple stressors can define geographic patterns of unforeseen species resilience to global environmental change.


2021 ◽  
Author(s):  
◽  
Gustav Kessel

<p>Global change is increasingly impacting coastal marine systems. Organisms inhabiting the intertidal zone may be especially vulnerable to additional anthropogenic influences, which augment the naturally stressful, highly variable conditions to which they are already subjected and may lead to the manifestation of artificially severe carry-over effects (COEs). In marine invertebrates with complex life histories, COEs can occur between life stages, when the conditions experienced by one stage influence the characteristics or performance of the next, as well as trans-generationally, in which case the environment experienced by a parental generation affects offspring. Most of the existing literature surrounding COEs focuses only on those between life stages or generations, seldom both simultaneously, and do so with the implementation of only a single stressor. In nature however, organisms may be affected by both forms of COE, since the presence of one does not preclude the other, and are invariably subjected to multiple co-occurring stressors that can interact in complex ways. Consequently, how trans-generational COEs might impact the propagation of stress through offspring life stages remains unclear, and how these processes operate in a global change context is little understood. It was here aimed to elucidate the role of COEs under ongoing global change by addressing these common literature imitations and taking the novel approach of examining how the effects of multiple, global change-associated stressors carry-over from a parental generation through their offspring’s life stages in order to provide a more realistic representation of the conditions under which COEs manifest in the field.  This was done using Siphonaria australis, an intertidal pulmonate limpet that deposits benthic egg masses, from which hatch planktonic veliger larvae. Adult S. australis were subjected to one of four treatments for 4h/day over four weeks to induce trans-generational COEs: a no-stress control, a pollution treatment with added copper (5.0μg/L), a “climate change” treatment with elevated temperature (25°C) and UVR (1.7W/m2), and a full global change treatment incorporating all three stressors. At the end of this period, the egg masses laid under each of these adult treatments were subjected to further experimentation for two weeks by being redistributed among the same four treatments again, so as to produce 16 unique treatment histories of adult-to-egg mass stress. Of these, 11 provided successfully hatching larvae, which were reared and observed for COEs between life stages (from egg to larva) under ambient conditions (ie. no added stressors) for 27 days.  In adult S. australis survivor size, the size of egg masses laid and the size of individual eggs varied in complex ways over time and across treatments, while the number of survivors was unaffected by stress. Egg masses were unaffected in terms of hatching time but displayed strong responses to parental and developmental stress exposure through hatching success, and the percentage of viable eggs per egg mass, with the latter clearly declining according to adult treatment severity and both showing trans-generational COEs. Larval characteristics were extremely varied across treatment histories and highly context-dependent as hatching size, size reached by 27 days, growth rate, and size at death all showed evidence of COEs between generations and life stages, as well as interaction between both types of COE, with the number of survivors again being the only unaffected response variable. Overall, trans-generational COEs were slightly more common than those between life stages.  These results show that both forms of COE, each triggered by exposure to multiple stressors in progenitors and developmental stages, interact to form highly context-dependent legacies of mostly impaired performance in S. australis larvae. This implies that COEs may become more prominent with worsening stressors in the future and suggests that the role of COEs in the persistence of marine invertebrates under ongoing global change may so far have been underestimated by the existing literature.</p>


2020 ◽  
Vol 12 (7) ◽  
pp. 2576 ◽  
Author(s):  
Xianzhao Liu ◽  
Xu Yang ◽  
Ruoxin Guo

Determining differences in regional carbon emissions and the factors that affect these differences is important in the realization of differentiated emissions mitigation policies. This paper adopts the Theil index and the partial least square-variable importance of projection (PLS-VIP) method to analyze the change characteristics, regional differences and causes of carbon emissions, as well as the extent to which various factors influenced carbon emissions in China’s eight economic regions in 2005–2017. The results indicate that (1) during the study period, carbon emissions in the eight economic regions displayed a rigid uptrend with a phased characteristic. The growth rates of carbon emissions were different across the studied regions. (2) The overall difference in regional carbon emissions showed an increasing trend, mainly owing to increasing interregional differences. (3) The extent of the influence and explanatory ability of each factor on regional carbon emissions and discrepancies in carbon emissions were different. Population size, economic development, and energy intensity were found to be the three main factors influencing regional carbon emission changes. Industrial structure and urbanization were also contributors to regional differences in emissions. The influence of energy structure on regional carbon emissions and its explanatory power were weak on the whole, but its elastic coefficients and VIP values changed significantly. Finally, regionally targeted proposals for emissions mitigation are offered.


2021 ◽  
Author(s):  
Marcel Suleiman ◽  
Yves Choffat ◽  
Xue Zheng ◽  
Owen Petchey

Microbial communities in many ecosystems are facing a broad range of global change scenarios, resulting in microbial changes and possibly regime shifts with unknown ecological consequences. While the influence of single stressors is already described in numerous studies, the effects of multiple stressors working simultaneously are still poorly understood. In this study, we used 240 highly replicable oxic/anoxic aquatic lab micro-ecosystems to understand the influence of four stressors (fertilizer, glyphosate, metal pollution, antibiotics) in all possible combinations at three different temperatures (20 °C, 24 °C, and 28 °C) to shed light into consequences of multiple stressors on different levels of organization, ranging from species abundance to community and ecosystem parameters. Our data reveal that (i) combination of specific stressors can change the biological consequence and direction compared to single stressors in all levels of organisation (ii), effects of stressor combinations are modified by temperature, and (iii) that the number of stressors applied also lead to significant changes. In sum, our study confirmed the need of investigating multiple stressors working simultaneously across different ecological levels of organisation.


2020 ◽  
Vol 7 ◽  
Author(s):  
Erik Olsen ◽  
Isaac C. Kaplan ◽  
Cecilie Hansen ◽  
Elizabeth Fulton ◽  
Michael J. Fogarty ◽  
...  

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