Correlates of extinction vulnerability in Canadian’s prairie ecoregion

Identifying the correlates of extinction can help prioritize species for conservation effort, an important step when developing effective conservation policies. Most previous studies on extinction vulnerability have been restricted to a single predictor within a specific region. To understand the mechanism underlying predictors of extinction risk, an examination of the contribution of various factors at different scales is an important step. We investigated the contribution of phylogeny, ploidy level, habitat breadth, and life form on both provincial and national conservation ranks of Alberta’s prairie ecoregion plant species. We collected data on conservation status, chromosome number, habitat breadth, and life form for 1274 species. We used phylogenetic comparative models to assess (1) the relative contribution, significance, and possible interaction of predictor variables in determining extinction vulnerability, and (2) the possible underlying mechanisms governing observed patterns of extinction vulnerability at the provincial and national level. We find that the contribution, significance, and predictive power of variables were often scale-dependent. While the impact of habitat breadth was significant at both provincial and national scales, ploidy and life form was only significant at the national and provincial level, respectively. We also found a significant negative interaction between ploidy and habitat breadth at both geographical scales, such that among widespread species (species with a higher habitat breadth), diploids are less likely to be at risk than polyploids. Our study reveals the importance of the study scale on the accuracy of extinction prediction. We also suggest that discriminating between regionally restricted and non-restricted species could improve the predictability of sub-global extinction patterns.

     

Ageing increases vulnerability to aβ42 toxicity in Drosophila

Age is the major risk factor for many neurodegenerative diseases, including Alzheimer's Disease (AD), for reasons that are not clear. The association could indicate that the duration or degree of exposure to toxic proteins is important for pathology, or that age itself increases susceptibility to protein toxicity. Using an inducible Drosophila model of AD, we investigated these possibilities by varying the expression of an Aβ42 transgene in neurons at different adult ages and measuring the effects on Aβ42 levels and associated pathological phenotypes. Acute induction of Arctic Aβ42 in young adult flies resulted in rapid expression and clearance of mRNA and soluble Arctic Aβ42 protein, but in irreversible expression of insoluble Arctic Aβ42 peptide. Arctic Aβ42 peptide levels accumulated with longer durations of induction, and this led to a dose-dependent reduction in negative geotaxis and lifespan. For a standardised level of mRNA expression, older flies had higher levels of Arctic Aβ42 peptide and associated toxicity, and this correlated with an age-dependent reduction in proteasome activity. Equalising Aβ42 protein at different ages shortened lifespan in correlation with the duration of exposure to the peptide, suggesting that Aβ42 expression accumulates damage over time. However, the relative reduction in lifespan compared to controls was greater in flies first exposed to the peptide at older ages, suggesting that ageing itself also increases susceptibility to Aβ42 toxicity. Indeed older flies were more vulnerable to chronic Aβ42 toxicity even with a much lower lifetime exposure to the peptide. Finally, the persistence of insoluble Aβ42 in both young and old induced flies suggests that aggregated forms of the peptide cause toxicity in later life. Our results suggest that reduced protein turnover, increased duration of exposure and increased vulnerability to protein toxicity at later ages in combination could explain the late age-of-onset of neurodegenerative phenotypes.     

Up-regulation of calsyntenin-3 by β-amyloid increases vulnerability of cortical neurons

β-Amyloid (Aβ) may play an important role in the pathogenesis of Alzheimer's disease. However, a causal relationship between Aβ oligomers and layer-specific neurodegeneration has not been clarified. Here we show up-regulation of calsyntenin (Cst)-3 in cultured neurons treated with Aβ oligomers and in Tg2576 mice. Cst-3 is distributed in large neurons in layers 2-3 and 5 of the cerebral cortex, and accumulated in dystrophic neurites surrounding Aβ-plaques. Overexpression of Cst-3 accelerates neuronal death. These results indicate that up-regulation of Cst-3 in cortical neurons in layers 2-3 and 5 by Aβ oligomers may lead to increase in vulnerability of neurons.     

Do helminths increase the vulnerability of released pheasants to fox predation?

The success of ring-necked pheasant (Phasianus colchicus) restocking in Asturias, northern Spain was assessed, and the role of parasites and predators in the mortality of released birds was studied. The experimental release of 56 radio-tagged pheasants showed that 98% of birds died within 12 days. As soon as 72 h after release, 67.5% of males and 55.0% of females were found dead. Foxes (Vulpes vulpes) killed 63% of the birds. The survival of those birds killed by foxes was lower than for birds which died due to other causes, and pheasants depositing eggs of the nematode Eucoleus contortus (Creplin, 1839) survived less than those apparently non-parasitized. No impact of the parasite on the pheasants' condition was found, but foxes preyed upon parasitized birds more than expected by random. The results suggest that: (i) the current pheasant releases in this area are unsuccessful and need to be improved; (ii) this is mainly due to intense predation by red foxes; and (iii) parasites could have some influence on the predation of released birds by foxes. However, the way parasites affect pheasant vulnerability remains unclear.     

Xylem cavitation vulnerability influences tree species’ habitat preferences in miombo woodlands

Although precipitation plays a central role in structuring Africa’s miombo woodlands, remarkably little is known about plant-water relations in this seasonally dry tropical forest. Therefore, in this study, we investigated xylem vulnerability to cavitation for nine principal tree species of miombo woodlands, which differ in habitat preference and leaf phenology. We measured cavitation vulnerability (Ψ₅₀), stem-area specific hydraulic conductivity (K _S), leaf specific conductivity (K _L), seasonal variation in predawn water potential (Ψ_PD) and xylem anatomical properties [mean vessel diameter, mean hydraulic diameter, mean hydraulic diameter accounting for 95 % flow, and maximum vessel length (V _L)]. Results show that tree species with a narrow habitat range (mesic specialists) were more vulnerable to cavitation than species with a wide habitat range (generalists). Ψ₅₀ for mesic specialists ranged between ?1.5 and ?2.2 MPa and that for generalists between ?2.5 and ?3.6 MPa. While mesic specialists exhibited the lowest seasonal variation in Ψ_PD, generalists displayed significant seasonal variations in Ψ_PD suggesting that the two miombo habitat groups differ in their rooting depth. We observed a strong trade-off between K _S and Ψ₅₀ suggesting that tree hydraulic architecture is one of the decisive factors setting ecological boundaries for principal miombo species. While vessel diameters correlated weakly (P > 0.05) with Ψ₅₀, V _L was positively and significantly correlated with Ψ₅₀. Ψ_PD was significantly correlated with Ψ₅₀ further reinforcing the conclusion that tree hydraulic architecture plays a significant role in species’ habitat preference in miombo woodlands.     

Multi-scale vulnerability of natural capital in a panarchy of social–ecological landscapes

Environmental security, as the opposite of environmental vulnerability (fragility), is multi-layered, multi-scale and complex, existing in both the objective physical, biological, and social realm, and the subjective realm of individual human perception. In this paper, we detect and quantify the scales and spatial patterns of human land use as ecosystem disturbances at different hierarchical levels in a panarchy of social–ecological landscapes (SELs) by using a conceptual framework that characterizes multi-scale disturbance patterns exhibited on satellite imagery over a four-year time period in Apulia (South Italy). In this paper we advance the measure of the functional importance of ESPs provided by natural areas and permanent cultivations based on their effectiveness at performing the services. Any landscape element contributes to the overall proportion of disturbance in the region, through its composition of disturbed locations (pixels), and to the overall disturbance connectivity through its configuration. Such landscape elements represent, in turn, functional units for assessing functional contributions of ES providers at different scale(s) of operation of the service. We assume that such effectiveness at performing the services will result directly affected by how much disturbance surrounds ESP locations at different neighborhoods. Multi-scale measurements of the composition and spatial configuration of disturbance are the basis for evaluating vulnerability of ecosystem services through multi-scale disturbance profiles concerning land-use locations where most of ecosystem service providers reside. Vulnerability estimates are derived from the identification of scale range couplings or mismatches among land-use disturbances related to different land uses and revealed by trajectories from the global profile to local spatial patterns. Scale mismatches of disturbances in space and time determine the role of land use as a disturbance source or sink, and may govern the triggering of landscape changes affecting ecosystem service providers at the scale(s) of operation of the service. The role of natural areas and permanent cultivations (olive groves and vineyards) in providing disturbance regulation across scales in South Italy has consequences for regional SELs since it may govern if and how disturbances associated with land-use intensification (sources) will affect the functional contribution of ES providers.     

Do incubation-induced changes in a lizard's phenotype influence its vulnerability to predators?

Strong evidence affirms that incubation temperatures can influence the phenotype of hatchling reptiles, but few studies have examined the fitness consequences of such modifications. Vulnerability to predation is one plausible way that phenotypic shifts could affect an organism's fitness. We incubated the eggs of three sympatric lizard species at temperatures similar to the thermal extremes of natural nests, and measured several traits that are likely to influence a hatchling's susceptibility to a natural (snake) predator. We also examined the lizards' actual vulnerability to snake predators in direct encounters in the laboratory. Our results show that incubation temperature can affect an individual's date of hatching, morphology, locomotor performance, chemosensory responses to snake scent, and ability to avoid a snake predator during staged laboratory encounters. Incubation temperature did not modify the hatchling's `attractiveness' to snakes (as measured via chemical cues) or its antipredator tactics (propensity to escape predation through fleeing or caudal autotomy). The magnitude and direction of incubation- induced phenotypic shifts varied among the three species (even those with similar life histories, thermoregulatory preferences, and microhabitat requirements), and depended on body temperatures and hatchling age. We conclude that incubation-induced modifications to a lizard's phenotype affect a suite of traits that are likely to influence its vulnerability, and also its actual ability to escape from a predator. This result suggests that incubation regimes can influence organismal fitness via their effects on predator-prey interactions. Received: 21 December 1998 / Accepted: 23 March 1999     

Assessments of species’ vulnerability to climate change: from pseudo to science

Climate change vulnerability assessments (CCVAs) are important tools to plan for and mitigate potential impacts of climate change. However, CCVAs often lack scientific rigor, which can ultimately lead to poor conservation prioritization and associated ecological and economic costs. We discuss the need to improve comparability and consistency of CCVAs and either validate their findings or improve assessment of CCVA uncertainty and sensitivity to methodological assumptions.     

Can traits predict species' vulnerability? A test with farmland passerines in two continents

Species' traits have been used both to explain and, increasingly, to predict species' vulnerability. Trait-based comparative analyses allow mechanisms causing vulnerability to be inferred and, ideally, conservation effort to be focused efficiently and effectively. However, empirical evidence of the predictive ability of trait-based approaches is largely wanting. I tested the predictive power of trait-based analyses on geographically replicated datasets of farmland bird population trends. I related the traits of farmland passerines with their long-term trends in abundance (an assessment of their response to agricultural intensification) in eight regions in two continents. These analyses successfully identified explanatory relationships in the regions, specifically: species faring badly tended to be medium-sized, had relatively short incubation and fledging periods, were longer distant migrants, had small relative brain sizes and were farmland specialists. Despite this, the models had poor ability to predict species' vulnerability in one region from trait-population trend relationships from a different region. In many cases, the explained variation was low (median R(2) = 8%). The low predictive ability of trait-based analyses must therefore be considered if such trait-based models are used to inform conservation priorities.     

Comparison of methods for detecting vulnerability of xylem embolism in Robinia pseudoacacia北大核心CSCD

Aims The vulnerability of xylem embolism is one of the key physiological factors that are related to plant mortality. Vulnerability curves are typically used for determining the vulnerability of xylem embolism. However, the shapes of vulnerability curves vary with the methods of assessment, especially in plant species with long xylem vessels. This study aims to investigate the feasibility of using different methods for establishment of vulnerability curves. Methods Robinia pseudoacacia branches, with long xylem vessels, were used as plant materials for comparison of three different methods in establishing vulnerability curves, including bench top dehydration, Cochard Cavitron centrifugation and Sperry centrifugation. In the Sperry centrifugation method, rotors of two different sizes were used to test the ‘open vessel artifact’ hypothesis. Important findings The vulnerability curve established by the bench top dehydration method displayed an “s” shape, while both the Cochard Cavitron centrifugation and Sperry centrifugation methods produced “r” shape curves. Vulnerability curves derived from the bench top dehydration method and the centrifugation methods were significantly different. Using the Sperry centrifugation method, the R. pseudoacacia branch samples in the 14.4 cm rotor had a higher proportion of open vessels, while the embolic vulnerability curves established on the 27.4 cm and 14.4 cm long stem segments were similar, indicating that the Sperry centrifugation method does not produce “open vessel artifact”. © Chinese Journal of Plant Ecology.     

Leaf hydraulic vulnerability influences species’ bioclimatic limits in a diverse group of woody angiosperms

The ability of plants to maintain water flow through leaves under water stress-induced tension (assessed as the leaf hydraulic vulnerability; P50 _leaf) is intimately linked with survival. We examined the significance of P50 _leaf as an adaptive trait in influencing the dry-end distributional limits of cool temperate woody angiosperm species. We also examined differences in within-site variability in P50 _leaf between two high-rainfall montane rainforest sites in Tasmania and Peru, respectively. A significant relationship between P50 _leaf and the 5th percentile of mean annual rainfall across each species distribution was found in Tasmania, suggesting that P50 _leaf influences species climatic limits. Furthermore, a strong correlation between P50 _leaf and the minimum rainfall availability was found using five phylogenetically independent species pairs in wet and dry evergreen tree species, suggesting that rainfall is an important selective agent in the evolution of leaf hydraulic vulnerability. Greater within-site variability in P50 _leaf was found among dominant montane rainforest species in Tasmania than in Peru and this result is discussed within the context of differences in spatial and temporal environmental heterogeneity and parochial historical ecology.     

Paradoxes of tumour complexity: somatic selection,vulnerability by design,or infectious aetiology?

The aetiology of cancer involves intricate cellular and molecular mechanisms that apparently emerge on the short timescale of a single lifetime. Some of these traits are remarkable not only for their complexity, but also because it is hard to conceive selection pressures that would favour their evolution within the local competitive microenvironment of the tumour. Examples include ‘niche construction’ (re‐programming of tumour‐specific target sites) to create permissive conditions for distant metastases; long‐range feedback loops of tumour growth; and remarkably ‘plastic’ phenotypes (e.g. density‐dependent dispersal) associated with metastatic cancer. These traits, which we term ‘paradoxical tumour traits’, facilitate the long‐range spread or long‐term persistence of the tumours, but offer no apparent benefit, and might even incur costs in the competition of clones within the tumour. We discuss three possible scenarios for the origin of these characters: somatic selection driven by specific selection regimes; non‐adaptive emergence due to inherent vulnerabilities in the organism; and manipulation by putative transmissible agents that contribute to and benefit from these traits. Our work highlights a lack of understanding of some aspects of tumour development, and offers alternative hypotheses that might guide further research.     

Factors determining tadpole vulnerability to predators: can prior experience compensate for a suboptimal shape?

We investigated the role of constitutive morphology and previous experience in predator avoidance in two anuran species associated with different larval habitats. In Rana temporaria, deeper tails and larger body size conferred selective advantage against dragonfly predation. Previous experience with predators had a positive influence on the survival of R. temporaria tadpoles equivalent to predator selection. By contrast, survival in Bufo bufo seems unrelated to tail shape or experience. This suggests that B. bufo lacks constitutive morphological defenses against insect predators, and that morphological and behavioral defenses could result more effective than chemical deterrents for these insect predators. A key novelty of this study is the observation that Rana tadpoles having prior experience with predators have an enhanced success in further encounters, and this occurs before the morphological induced defense has been established. This induced modification for R. temporaria, and its lack of for B. bufo, may be an important determinant of larval survival.     

Environmental vulnerability evaluation using a spatial principal components approach in the Daxing’anling region,China

Identifying environmentally vulnerable regions is an important aspect of forest resource management, especially in boreal forest ecosystems that exhibit sensitivity to climate change. In this study, an environmental vulnerability index was constructed to describe the vulnerability status of the ecosystem in the Daxing’anling region, Heilongjiang Province, China. Thirteen variables related to exposure, sensitivity and adaptive capacity of the ecosystem were selected and integrated into a comprehensive index using spatial principal component analysis. The vulnerability within each part of the study area was then classified into one of five levels, including potential, slight, light, medium and heavy vulnerability, based on the numerical values. Results showed that the degree of vulnerability was unevenly distributed throughout the Daxing’anling region. The highest environmental vulnerability index value was approximately 0.86 in the southern and central areas, suggesting that these regions are the most vulnerable to environmental changes. The lowest value was approximately 0.036 in the eastern region, which indicates a relatively high-quality environment that is less vulnerable to environmental changes. The results of the environmental vulnerability evaluation may be helpful for decision makers by providing a comparatively rational decision making tool for planning and implementing effective forest resource management.     

Altitudinally restricted communities of Schizophoran flies in Queensland’s Wet Tropics: vulnerability to climate change

The Australian Wet Tropics World Heritage Area (WTWHA) contains a number of highland vertebrates predicted to face extinction due to a warming climate, but little is known about risks to invertebrates, which are vital to ecosystem health. This study investigates the distribution and abundance patterns of the Dipteran sub-order Schizophora along an altitudinal transect in the Carbine Uplands of the WTWHA using Malaise traps. The season of peak abundance changed with altitude, with highland abundance peaking in October, and lowland abundance peaking in April. There was a high level of species turnover with altitude, and some evidence for distinct low-, mid-, and high-elevation assemblages, with the high-elevation assemblage containing the most restricted species. We would expect this high-elevation assemblage to be at risk of local extinction with 2–3° of warming, and the mid-elevation assemblage to be at risk with 4–5° warming. Future work should continue sampling to confirm patterns presented here and to monitor range shifts with climate change. A highland species—Helosciomyza ferruginea Hendel is suggested as a good indicator species for such monitoring.     

Do species of invaded communities differ in their vulnerability to being eliminated by the dominant alien plants?

Invasions are associated with loss of diversity and changes in species composition. This study aims to provide evidence if this loss happens at random or if the loss is related to functional traits of native species. Traits of species in communities dominated by 13 plants alien to Central Europe were compared to those found in the adjacent uninvaded vegetation. There is a weak but significant non-random pattern in the distribution of traits between the invaded and adjacent uninvaded vegetation. For example, species possessing a taproot, annuals but also juveniles of trees tend to be proportionally more abundant in the invaded vegetation, suggesting they are impacted less than species with high clonal index, perennial polycarpic species and species without a taproot, which are proportionally more represented in the uninvaded vegetation. Fast laterally spreading species, trees’ juveniles and woody species in general are proportionally more frequent in the invaded vegetation, while biennials, slow laterally spreading species but also shrubs are proportionally more frequent in the uninvaded vegetation. Juveniles of trees may compete successfully with the aliens due to being adapted to thrive in low light conditions. Annuals may thrive in the invaded communities by possessing a life strategy different from most of the selected aliens. Possessing a taproot appears to be another trait important for the successful coexistence with the dominant invasive aliens, possibly pointing to the importance of underground competition. Clonal perennial polycarpic herbs are species functionally most similar to most of the selected aliens, and these species were found to be most underrepresented in the invaded vegetation.     

Can animal habitat use patterns influence their vulnerability to extreme climate events? An estuarine sportfish case study

Global climate forecasts predict changes in the frequency and intensity of extreme climate events (ECEs). The capacity for specific habitat patches within a landscape to modulate stressors from extreme climate events, and animal distribution throughout habitat matrices during events, could influence the degree of population level effects following the passage of ECEs. Here, we ask (i) does the intensity of stressors of an ECE vary across a landscape? And (ii) Do habitat use patterns of a mobile species influence their vulnerability to ECEs? Specifically, we measured how extreme cold spells might interact with temporal variability in habitat use to affect populations of a tropical, estuarine‐dependent large‐bodied fish Common Snook, within Everglades National Park estuaries (FL US). We examined temperature variation across the estuary during cold disturbances with different degrees of severity, including an extreme cold spell. Second, we quantified Snook distribution patterns when the passage of ECEs is most likely to occur from 2012 to 2016 using passive acoustic tracking. Our results revealed spatial heterogeneity in the intensity of temperature declines during cold disturbances, with some habitats being consistently 3–5°C colder than others. Surprisingly, Snook distributions during periods of greatest risk to experience an extreme cold event varied among years. During the winters of 2013–2014 and 2014–2015 a greater proportion of Snook occurred in the colder habitats, while the winters of 2012–2013 and 2015–2016 featured more Snook observed in the warmest habitats. This study shows that Snook habitat use patterns could influence vulnerability to extreme cold events, however, whether Snook habitat use increases or decreases their vulnerability to disturbance depends on the year, creating temporally dynamic vulnerability. Faunal global change research should address the spatially explicit nature of extreme climate events and animal habitat use patterns to identify potential mechanisms that may influence population effects following these disturbances.     

Projecting species’ vulnerability to climate change: Which uncertainty sources matter most and extrapolate best?

Species distribution models (SDMs) are commonly used to assess potential climate change impacts on biodiversity, but several critical methodological decisions are often made arbitrarily. We compare variability arising from these decisions to the uncertainty in future climate change itself. We also test whether certain choices offer improved skill for extrapolating to a changed climate and whether internal cross‐validation skill indicates extrapolative skill. We compared projected vulnerability for 29 wetland‐dependent bird species breeding in the climatically dynamic Prairie Pothole Region, USA. For each species we built 1,080 SDMs to represent a unique combination of: future climate, class of climate covariates, collinearity level, and thresholding procedure. We examined the variation in projected vulnerability attributed to each uncertainty source. To assess extrapolation skill under a changed climate, we compared model predictions with observations from historic drought years. Uncertainty in projected vulnerability was substantial, and the largest source was that of future climate change. Large uncertainty was also attributed to climate covariate class with hydrological covariates projecting half the range loss of bioclimatic covariates or other summaries of temperature and precipitation. We found that choices based on performance in cross‐validation improved skill in extrapolation. Qualitative rankings were also highly uncertain. Given uncertainty in projected vulnerability and resulting uncertainty in rankings used for conservation prioritization, a number of considerations appear critical for using bioclimatic SDMs to inform climate change mitigation strategies. Our results emphasize explicitly selecting climate summaries that most closely represent processes likely to underlie ecological response to climate change. For example, hydrological covariates projected substantially reduced vulnerability, highlighting the importance of considering whether water availability may be a more proximal driver than precipitation. However, because cross‐validation results were correlated with extrapolation results, the use of cross‐validation performance metrics to guide modeling choices where knowledge is limited was supported.