Changes In Population Density Research Articles

Threatened bird species are concentrated in regions with less historical human impacts

Previous human activities have a lasting influence on modern biodiversity patterns, especially on the distribution of threatened species. China is a large country, with a high population and a long history of agriculture, but is also a megadiverse country, with over 1370 bird species and over 300 threatened bird species. As far as we know, this study is the first attempt to test the associations between distribution of proportion of threatened bird species and anthropogenic activities (changes in forest cover, cropland area and population density) over different periods (between 1700 and 1800, between 1800 and 1900, and between 1900 and 2000). We show that there are higher proportions of threatened bird species in Northern China, especially Northeastern and Northwestern China. Notably, both ordinary least squares models and simultaneous autoregressive models indicate that higher proportions of threatened bird species were largely associated with less historical anthropogenic activities, i.e., smaller changes in forest cover and cropland area in Northern China between 1700 and 1800. These findings emphasize the role of historical land use changes in shaping current distribution of threatened bird species, and highlight the importance of avoiding further anthropogenic activities in the last-of-the-wild regions for biodiversity conservation.

Capturing response differences of species distribution to climate and human pressures by incorporating local adaptation: Implications for the conservation of a critically endangered species

Considering local adaptation has been increasingly involved in forecasting species distributions under climate change and the management of species conservation. Herein, we take the critically endangered Chinese giant salamander (Andrias davidianus) that has both a low dispersal ability and distinct population divergence in different regions as an example. Basin-scale models that represent different populations in the Huanghe River Basin (HRB), the Yangtze River Basin (YRB), and the Pearl River Basin (PRB) were established using ensemble species distribution models. The species ranges under the future human population density (HPD) and climate change were predicted, and the range loss was evaluated for local basins in 2050 and 2070. Our results showed that the predominant factors affecting species distributions differed among basins, and the responses of the species occurrence to HPD and climate factors were distinctly different from northern to southern basins. Future HPD changes would be the most influential factor that engenders negative impacts on the species distribution in all three basins, especially in the HRB. Climate change will likely be less prominent in decreasing the species range, excluding in the YRB and PRB under the highest-emissions scenario in 2050. Overall, the high-emissions scenario would more significantly aggravate the negative impacts produced by HPD change in both 2050 and 2070, with maximum losses of species ranges in the HRB, YRB, and PRB of 83.4%, 60.0%, and 53.5%, respectively, under the scenarios of the combined impacts of HPD and climate changes. We proposed adapted conservation policies to effectively protect the habitat of this critically endangered animal in different basins based on the outcomes. Our research addresses the importance of incorporating local adaptation into species distribution modeling to inform conservation and management decisions.

The Impact Assessment of Increasing Population Density on Jeddah Road Transportation Using Spatial-Temporal Analysis

This paper aimed to measure and analyze the impact of temporal population density changes on transportation in Jeddah, a fast-growing city in Saudi Arabia. Local cooperative interpretation is first used to quantify the temporal population density and transportation changes for three sample districts in Jeddah from 2007 to 2014. Three temporal indicators were developed to measure the impact of increasing population density on transportation: (1) District Road Density Index (DRDI); (2) District Parking Index (DPI); and (3) District Trip Index (DTI). Then, a statistical analysis was conducted to examine the temporal relationship between population density and transportation for the years 2007 and 2014, by performing a Pearson correlation analysis, a paired t-test and a bootstrap for paired samples test. The results of temporal indicators revealed a significant change in population density in Jeddah from 2007 to 2014, which seems to indicate intensified demand for transportation infrastructure. The Pearson correlation analysis indicated a strong positive relationship between population density variables and temporal impact indicators. Both a paired t-test and a bootstrap for paired samples test results indicated the effect of population density changes on transportation changes in Jeddah as a result of population density regulation changes in Jeddah from 2007 to 2014. This study presents sophisticated tools to study the impact of temporal population density change on transportation in a fast-growing city, which will facilitate the measurement and evaluation of urban sustainability.

Iterative model predictions for wildlife populations impacted by rapid climate change.

To improve understanding and management of the consequences of current rapid environmental change, ecologists advocate using long-term monitoring data series to generate iterative near-term predictions of ecosystem responses. This approach allows scientific evidence to increase rapidly and management strategies to be tailored simultaneously. Iterative near-term forecasting may therefore be particularly useful for adaptive monitoring of ecosystems subjected to rapid climate change. Here, we show how to implement near-term forecasting in the case of a harvested population of rock ptarmigan in high-arctic Svalbard, a region subjected to the largest and most rapid climate change on Earth. We fitted state-space models to ptarmigan counts from point transect distance sampling during 2005-2019 and developed two types of predictions: (1) explanatory predictions to quantify the effect of potential drivers of ptarmigan population dynamics, and (2) anticipatory predictions to assess the ability of candidate models of increasing complexity to forecast next-year population density. Based on the explanatory predictions, we found that a recent increasing trend in the Svalbard rock ptarmigan population can be attributed to major changes in winter climate. Currently, a strong positive effect of increasing average winter temperature on ptarmigan population growth outweighs the negative impacts of other manifestations of climate change such as rain-on-snow events. Moreover, the ptarmigan population may compensate for current harvest levels. Based on the anticipatory predictions, the near-term forecasting ability of the models improved nonlinearly with the length of the time series, but yielded good forecasts even based on a short time series. The inclusion of ecological predictors improved forecasts of sharp changes in next-year population density, demonstrating the value of ecosystem-based monitoring. Overall, our study illustrates the power of integrating near-term forecasting in monitoring systems to aid understanding and management of wildlife populations exposed to rapid climate change. We provide recommendations for how to improve this approach.

Large carnivore expansion in Europe is associated with human population density and land cover changes

AbstractAimThe recent recovery of large carnivores in Europe has been explained as resulting from a decrease in human persecution driven by widespread rural land abandonment, paralleled by forest cover increase and the consequent increase in availability of shelter and prey. We investigated whether land cover and human population density changes are related to the relative probability of occurrence of three European large carnivores: the grey wolf (Canis lupus), the Eurasian lynx (Lynx lynx) and the brown bear (Ursus arctos).LocationEurope, west of 64° longitude.MethodsWe fitted multi‐temporal species distribution models using >50,000 occurrence points with time series of land cover, landscape configuration, protected areas, hunting regulations and human population density covering a 24‐year period (1992–2015). Within the temporal window considered, we then predicted changes in habitat suitability for large carnivores throughout Europe.ResultsBetween 1992 and 2015, the habitat suitability for the three species increased in Eastern Europe, the Balkans, North‐West Iberian Peninsula and Northern Scandinavia, but showed mixed trends in Western and Southern Europe. These trends were primarily associated with increases in forest cover and decreases in human population density, and, additionally, with decreases in the cover of mosaics of cropland and natural vegetation.Main conclusionsRecent land cover and human population changes appear to have altered the habitat suitability pattern for large carnivores in Europe, whereas protection level did not play a role. While projected changes largely match the observed recovery of large carnivore populations, we found mismatches with the recent expansion of wolves in Central and Southern Europe, where factors not included in our models may have played a dominant role. This suggests that large carnivores’ co‐existence with humans in European landscapes is not limited by habitat availability, but other factors such as favourable human tolerance and policy.

Impacts of Urbanization on the Muthurajawela Marsh and Negombo Lagoon, Sri Lanka: Implications for Landscape Planning towards a Sustainable Urban Wetland Ecosystem

Urban wetland ecosystems (UWEs) play important social and ecological roles but are often adversely affected by urban landscape transformations. Spatio-temporal analyses to gain insights into the trajectories of landscape changes in these ecosystems are needed for better landscape planning towards sustainable UWEs. In this study, we examined the impacts of urbanization on the Muthurajawela Marsh and Negombo Lagoon (MMNL), an important UWE in Sri Lanka that provides valuable ecosystem services. We used remote sensing data to detect changes in the land use/cover (LUC) of the MMNL over a two-decade period (1997–2017) and spatial metrics to characterize changes in landscape composition and configuration. The results revealed that the spatial and socio-economic elements of rapid urbanization of the MMNL had been the main driver of transformation of its natural environment over the past 20 years. This is indicated by a substantial expansion of settlements (+68%) and a considerable decrease of marshland and mangrove cover (−41% and −21%, respectively). A statistical analysis revealed a significant relationship between the change in population density and the loss of wetland due to settlement expansion at the Grama Niladhari division level (n = 99) (where wetland includes marshland, mangrove, and water) (1997–2007: R2 = 0.435, p = 0.000; 2007–2017: R2 = 0.343, p = 0.000). The findings also revealed that most of the observed LUC changes occurred in areas close to roads and growth nodes (viz. Negombo, Ja-Ela, Wattala, and Katana), which resulted in both landscape fragmentation and infill urban expansion. We conclude that, in order to ensure the sustainability of the MMNL, there is an urgent need for forward-looking landscape and urban planning to promote environmentally conscious urban development in the area which is a highly valuable UWE.

不同密度猪毛菜形态结构性状及生物量分配策略的异速关系

植物的生长特性随环境条件的变化具有可塑性，而不同的环境因素对植物可塑性的影响也不尽相同。利用异速分析的方法，通过模拟退化草地恢复过程中猪毛菜（Salsola collina）的不同种群密度（16、44、100、400株/m²），研究其形态结构性状及生物量分配策略的异速关系在种群密度间的差异。结果表明，种群密度增大能抑制猪毛菜的生长，而且对猪毛菜的株高、根长、一级分枝数、二级分枝数、三级分枝数以及总分枝长均产生了极显著的影响，表明种群密度的变化使得植物的高生长和侧向生长发生了显著变化。种群密度的变化也引起了植物生物量的变化，其中植物根、茎、叶间的生物关系是一种表观可塑性，植物的生长策略未发生改变，只是植物个体大小发生改变引起的生物量分配的变化。植物株高、总分枝长、一级分枝数及繁殖分配的变化，是由种群密度变化引起的，植物的适应策略发生了改变，是真正的可塑性。种群密度改变了植物的繁殖分配策略，而未改变植物叶的分配策略，说明当环境发生变化时，植物调整了其繁殖策略以适应环境因素的改变，以保证种群的生存繁衍。;Plant growth characteristics have plasticity in response to changes of environmental conditions, and different environmental factors have different effects on plant plasticity. The allometric method was used to analyze the morphological-structural traits and biomass allocation strategies by simulating population densities of S. collina (16, 44, 100 and 400 plants/m²) during the restoration of degraded grassland. The results showed that the increased population density could inhibit the growth of S. collina. population density had significant effects on plant height, root length, primary branch number, second-level branch number, third-level branch number, and total branch length, indicating that population density changes have caused significant changes in vertical and lateral growth of S. collina. Population density changes also influenced on the biomass of plant. The biological relationships between roots, stems, and leaves are an apparent plasticity, and the growth strategy has not changed at all, only the variation of biomass allocation were caused by the change of individual plant size. Changes in plant height, total branch length, primary branch number and reproductive biomass allocation were significantly influenced by population density, representing true plasticity. The results showed that variation of population density caused the strategy change of the reproductive allocation rather than the leaf allocation, indicating that when environment changes, plant would adjust the reproductive strategy to adapt to surrounding environmental factors, to ensure the survival and reproduction of the population.

Procjena štete od žižaka (Sitophilus granarius L. i Sitophilus zeamais Motsch.) na različitim hibridima kukuruza

Storage pests are pests adapted to living indoors, where their entire life cycle occurs on stored agricultural products. Nowadays, insects within storage facilities are the main problem in the storage process. Storage systems such as silos, warehouses, and containers are perfect habitats for insects that feed on stored food because they are protected from weather extremes, have unrestricted access to large food sources, and can live continuously for long periods of time. The objective of this study was to determine the intensity of damage by granary (Sitophilus granarius L.) and maize (Sitophilus zeamais Motsch.) weevils on field maize and popcorn and their biological potential over 20 weeks of the storage process. During the study, physical properties of maize (weight, hectolitre weight, moisture and sample weight) and changes in population density of weevils were measured. The results showed differential susceptibility of maize hybrids to weevil feeding. No differences were found between weevil species in terms of the damage they caused. Popcorn does not favor weevil feeding, resulting in low grain damage and high mortality rates for both weevil species. In contrast to popcorn, field corn favors both weevil feeding and weevil reproductive potential, ultimately decreasing grain mass and quality and making it unsuitable for human and livestock consumption. More susceptible field maize can be selected for shorter storage time and thus faster delivery to market.

Comparing unmanned aerial systems with conventional methodology for surveying a wild white-tailed deer population

Abstract Context Ungulate populations are subject to fluctuations caused by extrinsic factors and require efficient and frequent surveying to monitor population sizes and demographics. Unmanned aerial systems (UAS) have become increasingly popular for ungulate research; however, little is understood about how this novel technology compares with conventional methodologies for surveying wild populations. Aims We examined the feasibility of using a fixed-wing UAS equipped with a thermal infrared sensor for estimating the population density of wild white-tailed deer (Odocoileus virginianus) at the Cedar Creek Ecosystem Science Reserve (CCESR), Minnesota, USA. We compared UAS density estimates with those derived from faecal pellet-group counts. Methods We conducted UAS thermal survey flights from March to April of 2018 and January to March of 2019. Faecal pellet-group counts were conducted from April to May in 2018 and 2019. We modelled deer counts and detection probabilities and used these results to calculate point estimates and bootstrapped prediction intervals for deer density from UAS and pellet-group count data. We compared results of each survey approach to evaluate the relative efficacy of these two methodologies. Key results Our best-fitting model of certain deer detections derived from our UAS-collected thermal imagery produced deer density estimates (WR20204_IE1.gif, 95% prediction interval = 4.32–17.84 deer km−2) that overlapped with the pellet-group count model when using our mean pellet deposition rate assumption (WR20204_IE2.gif, 95% prediction interval = 4.14–11.29 deer km−2). Estimates from our top UAS model using both certain and potential deer detections resulted in a mean density of 13.77 deer km−2 (95% prediction interval = 6.64–24.35 deer km−2), which was similar to our pellet-group count model that used a lower rate of pellet deposition (WR20204_IE3.gif, 95% prediction interval = 6.46–17.65 deer km−2). The mean point estimates from our top UAS model predicted a range of 136.68–273.81 deer, and abundance point estimates using our pellet-group data ranged from 112.79 to 239.67 deer throughout the CCESR. Conclusions Overall, UAS yielded results similar to pellet-group counts for estimating population densities of wild ungulates; however, UAS surveys were more efficient and could be conducted at multiple times throughout the winter. Implications We demonstrated how UAS could be applied for regularly monitoring changes in population density. We encourage researchers and managers to consider the merits of UAS and how they could be used to enhance the efficiency of wildlife surveys.

Understanding metrics of stress in the context of invasion history: the case of the brown treesnake (Boiga irregularis).

Invasive species can exert rapid depletion of resources after introduction and, in turn, affect their own population density. Additionally, management actions can have direct and indirect effects on demography. Physiological variables can predict demographic change but are often restricted to snapshots-in-time and delayed confirmation of changes in population density reduces their utility. To evaluate the relationships between physiology and demography, we assessed metrics of individual and demographic stress (baseline and 1-h corticosterone (CORT), body condition and bacterial killing ability) in the invasive snake Boiga irregularis on Guam collected in intervals of 10-15years. We also assessed potential discrepancies between different methods of measuring hormones [radioimmunoassay (RIA) versus enzyme immunoassay (EIA)]. The magnitude of difference between RIA and EIA was negligible and did not change gross interpretation of our results. We found that body condition was higher in recent samples (2003 and 2018) versus older (1992-93) samples. We found corresponding differences in baseline CORT, with higher baseline CORT in older, poorer body condition samples. Hormonal response to acute stress was higher in 2018 relative to 2003. We also found a weak relationship between circulating CORT and bacterial killing ability among 2018 samples, but the biological significance of the relationship is not clear. In an effort to develop hypotheses for future investigation of the links between physiology and demography in this and other systems, we discuss how the changes in CORT and body condition may reflect changes in population dynamics, resource availability or management pressure. Ultimately, we advocate for the synchronization of physiology and management studies to advance the field of applied conservation physiology.

Cities on pre-Columbian paths

Does the geographic distribution of pre-Columbian societies determine the location of New World cities? This paper provides evidence that a pre-colonial indigenous trail influenced the location of modern cities in southern Brazil. To distinguish the causal effects of historical settlement near the trail from the effects of geographic fundamentals that could correlate with it, I compare how population density and urbanization change with proximity to the trail in two different regions. The first region has been settled by Europeans since the 16th century, while European settlement in the second region was interrupted after a 17th-century slave raid. Proximity to the indigenous path is associated with higher population density and urbanization in the first region, but not in the second. These findings suggest a path dependence that goes back to the pre-colonial past.

INTERDEPENDENCIES BETWEEN PHYSICAL AND SOCIAL VULNERABILITY IN A STORM RISK ASSESSMENT FRAMEWORK APPLIED TO HAMPTON ROADS, VIRGINIA

Risk assessment frameworks such as HAZUS-MH (FEMA, 2010) have been used globally to estimate potential losses like physical damage to structural establishments, economic loss, shelter requirements, displaced households, etc. due to multi-hazards like earthquake, flood and hurricane hazards. However, HAZUS-MH fails to consider interdependencies between physical and social capacities of affected communities. The present study aims to develop a conceptual risk assessment framework for storm hazards in coastal communities that addresses these limitations through an integrated physical and social vulnerability assessment applied to Hampton Roads, Virginia. By including interdependencies, interactions between the physical and social vulnerability will be studied. We hypothesize that changes in housing occupancy status affect the physical damage and changes in population density affect the social vulnerability. Therefore, the integrated physical and social vulnerability will change in response to a current event and therefore make the same region more or less impacted in a subsequent future event.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/JzCsvurKrxU

Evolutionary and Plastic Phenotypic Change Can Be Just as Fast as Changes in Population Densities.

AbstractEvolution and plasticity can drive population-level phenotypic change (e.g., changes in the mean phenotype) on timescales comparable to changes in population densities. However, it is unclear whether phenotypic change has the potential to be just as fast as changes in densities or whether comparable rates of change occur only when densities are changing slow enough for phenotypes to keep pace. Moreover, it is unclear whether this depends on the mode of adaptation. Using scaling theory and fast-slow dynamical systems theory, we develop a method for comparing maximum rates of density and phenotypic change estimated from population-level time-series data. We apply our method to 30 published empirical studies where changes in morphological traits are caused by evolution, plasticity, or an unknown combination. For every study, the maximum rate of phenotypic change was between 0.5 and 2.5 times faster than the maximum rate of change in density. Moreover, there were no systematic differences between systems with different modes of adaptation. Our results show that plasticity and evolution can drive phenotypic change just as fast as changes in densities. We discuss the implications of our results in terms of the strengths of feedbacks between population densities and traits.

Did pre-Columbian populations of the Amazonian biome reach carrying capacity during the Late Holocene?

The increasingly better-known archaeological record of the Amazon basin, the Orinoco basin and the Guianas both questions the long-standing premise of a pristine tropical rainforest environment and also provides evidence for major biome-scale cultural and technological transitions prior to European colonization. Associated changes in pre-Columbian human population size and density, however, are poorly known and often estimated on the basis of unreliable assumptions and guesswork. Drawing on recent developments in the aggregate analysis of large radiocarbon databases, here we present and examine different proxies for relative population change between 1050 BC and AD 1500 within this broad region. By using a robust model testing approach, our analyses document that the growth of pre-Columbian human population over the 1700 years prior to European colonization adheres to a logistic model of demographic growth. This suggests that, at an aggregate level, these pre-Columbian populations had potentially reached carrying capacity (however high) before the onset of European colonization. Our analyses also demonstrate that this aggregate scenario shows considerable variability when projected geographically, highlighting significant gaps in archaeological knowledge yet also providing important insights into the resilience of past human food procurement strategies. By offering a new understanding of biome-wide pre-Columbian demographic trends based on empirical evidence, our analysis hopes to unfetter novel perspectives on demic expansions, language diversification trajectories and subsistence intensification processes in the Amazonian biome during the late Holocene.This article is part of the theme issue ‘Cross-disciplinary approaches to prehistoric demography’.

Does intraspecific variation in demography have implications for fire management of an obligate‐seeder shrub across its geographic range?

AbstractPredicting changes in the abundance of species over time is a central goal of conservation ecology. Typically, demographic data are used to parameterise models which describe population dynamics. Vital rates of plants vary across a species’ distribution, yet most demographic estimates are spatially constrained. Banksia ornata (Proteaceae), a widespread serotinous obligate‐seeding shrub in southern Australia, has previously had a fire management model developed based on demographic data derived from a chronosequence in one part of the species’ range. We asked: are demographic data collected from a limited geographic range robust for developing population dynamic models that are applied across the broader species’ range? How much variation exists in the demography of species across their range and does this matter for estimating fire return intervals necessary for species persistence? We examine site‐to‐site variation in the pyrodemography of six populations of B. ornata encompassing its geographic range. We documented changes in population density, time to first reproduction and canopy seed bank accumulation in stands varying in age from 0.5 to 55 years. We model year of maximum seed production on demographic parameters such as population starting density and survival rate. Density, primary juvenile period, rates of mortality and seed bank accumulation varied across populations. Primary juvenile period varied across populations (from 6 to <20 years), while time to maximum seed production was estimated to take 34–39 years after fire. Hence, the fire intervals that correspond to minimising extinction risk (due to variation in primary juvenile periods) diverge moreso among populations than the fire intervals that produce (on average) the highest maximum seed production with respect to time since fire. Demographic data collected at different locations in a species’ range are likely valuable for building realistic species response models to disturbance, providing underlying assumptions about key transitions, such as mortality rate, are made explicit.

The behaviour of AA5754 and AA5052 aluminium alloys in alkaline etching solution: Similarity and difference

In the present study, the behaviour of AA5754 and AA5052 alloys in alkaline solution is investigated using analytical electron microscopy. Significant differences in dissolution rate, change of intermetallic particle population density, compositional and morphological change of various intermetallic particles of the two alloys are observed. The dissolution rate of AA5754 alloy is approximately 1.3 μm/min., which is significantly lower than the dissolution rate of 2.3 μm/min. For AA5052 alloy. After alkaline etching, the population density of coarse intermetallic particles (mainly Mn-rich) on AA5754 alloy surface is significantly reduced whereas the population density of coarse intermetallic particles (mainly Fe-rich) on AA5052 alloy surface remains almost unchanged. Further, the root cause for the different behaviour of the two alloys in alkaline solution is discussed.

Harnessing the potential of Precision Pest Management in plantation forests

There are numerous new and emerging technologies that allow for greater precision in forest pest management, from sequencing and chemical analyses to data collection through smart technologies, and integration, analysis and sharing of data across fields. These technologies allow for the development of much more accurate tools for pest management than has ever before been possible, and have led to us developing an approach that we define as Precision Pest Management (PPM). The approach also allows for more rapid development of Integrated Pest Management (IPM) tools, as well as the ability for early recognition and response to changes in pest population densities and distributions. We argue that there is an increasing need for a PPM approach, and that we should harness the opportunities these technologies offer to deal with the expected scale and complexity of pest management in the future.

Convergence of regional population density in Russia over 120 years

A relative uniformity of population distribution on the territory of the country is of importance from socio-economic and strategic perspectives. It is especially important in the case of Russia with its densely populated West and underpopulated East. This paper considers changes in population density in Russian regions, which occurred between 1897 and 2017. It explores whether there was convergence in population density and what factors influenced it. For this purpose, it uses the data both at county and regional levels, which are brought to common borders for comparability purposes. Further, the models of unconditional and conditional β-convergence are estimated, taking into account the spatial dependence. The paper concludes that the population density equalization took place in 1897-2017 at the county level and in 1926—1970 at the regional level. In addition, the population density increase is shown to be influenced not only by spatial effects, but also by political and geographical factors such as climate, number of GULAG camps, and the distance from the capital city.

Dry sliding wear behaviour of sub-zero processed Cr–V ledeburitic steel Vanadis 6 against three counterpart types

Abstract The effect of sub-zero treatments on dry sliding wear performance of Vanadis 6 tool steel was investigated by pin-ondisc tests against three counterpart types: alumina, 100Cr6 ball bearing steel, and CuSn6 bronze. The microstructure of the examined steel consists of tempered martensitic matrix with very small amounts of retained austenite, and three carbide types. Sub-zero treatments increase the carbides count. The hardness of the steel increases with increasing the austenitizing temperature but slightly decreases with the application of sub-zero treatments. Sub-zero treatments affect the wear performance of the Vanadis 6 steel when tempered at the secondary hardening peak as follows: almost no effect of this kind of treatment was detected when alumina was used as a counterpart but moderate amelioration was recorded when either 100Cr6 steel or CuSn6 bronze was used in the sliding couple. This behaviour is attributed to the combined effect of hardness variations and changes in population density of carbides, due to application of sub-zero treatment.

Dry sliding wear behaviour of sub-zero processed Cr–V ledeburitic steel Vanadis 6 against three counterpart types

Abstract The effect of sub-zero treatments on dry sliding wear performance of Vanadis 6 tool steel was investigated by pin-ondisc tests against three counterpart types: alumina, 100Cr6 ball bearing steel, and CuSn6 bronze. The microstructure of the examined steel consists of tempered martensitic matrix with very small amounts of retained austenite, and three carbide types. Sub-zero treatments increase the carbides count. The hardness of the steel increases with increasing the austenitizing temperature but slightly decreases with the application of sub-zero treatments. Sub-zero treatments affect the wear performance of the Vanadis 6 steel when tempered at the secondary hardening peak as follows: almost no effect of this kind of treatment was detected when alumina was used as a counterpart but moderate amelioration was recorded when either 100Cr6 steel or CuSn6 bronze was used in the sliding couple. This behaviour is attributed to the combined effect of hardness variations and changes in population density of carbides, due to application of sub-zero treatment.