Key Habitat Features Research Articles

Advancing spatial analysis of invasive species movement data to improve monitoring, control programs and decision making: feral cat home range as a case study

Context Many invasive animals are typically active across large areas, making monitoring and control programs expensive. To be efficacious, monitoring devices and control tools need to be strategically located to maximise the probability of encounter. This requires an understanding of how the target species uses the landscape, through identifying key habitat or landscape features that are preferred and used disproportionately more frequently by the species. Spatial analysis of animal movements can help identify high use areas. Aims The variability introduced by different range calculation methods can lead to uncertainty in subsequent habitat analyses. We aimed to determine which method is superior for accurate delineation of core areas for feral cats. Methods We analysed spatial data from 35 collared feral cats across four Australian study sites between 2016 and 2019, and compared the core areas generated using seven commonly used home range estimation methods. Key results We found that the α-hull method provided a higher precision of polygon placement, resulting in lower Type I and II errors and higher conformity to landscape features than other methods. The α-hull used a single default parameter and required no subjective input, making it a more objective, superior method. Conclusions We recommend that the α-hull method be used to define core activity areas for feral cats, enabling more robust habitat analysis, and identification of key habitat and landscape features to strategically target for monitoring and control programs. Implications This strategic approach could significantly improve cost efficiencies, particularly where existing management is widely dispersed, and core activity areas are clumped.

Evaluation of landscaping and vegetation management to suppress host-seeking Ixodes scapularis (Ixodida: Ixodidae) nymphs on residential properties in Connecticut, USA.

Ticks and tick-borne diseases are of increasing concern across the United States, particularly in the Northeast. Ixodes scapularis Say (Ixodida: Ixodidae) remains the primary vector for the Lyme disease spirochete, Borrelia burgdorferi (Johnson, Schmid, Hyde, Steigerwalt, and Brenner). Prior studies established that I. scapularis can be found in greatest abundance in the 1-m forested ecotone surrounding the lawn edge in residential backyards. Our study was conducted on 42 properties in Guilford, CT, and sought to expand upon this premise by determining which key habitat features were associated with increased densities of host-seeking I. scapularis nymphs. We quantified nymphal abundances in 19 different habitat types that were posited to influence densities. We determined that nymphal I. scapularis densities were greatest in forested areas closest to lawn edges with leaf litter or understory vegetation present, as well as short lawns adjacent to woodland edges. Additionally, we determined that there were no significant declines in nymphal I. scapularis density where leaf litter was removed, lawns were left unmowed, or woodchip barriers were installed. Bird feeders and woodpiles were not associated with increased nymphal I. scapularis densities. However, areas adjacent to stone walls did have nearly 3 times the density of I. scapularis nymphs present compared with habitats without stone walls. The culmination of the results from this study can be utilized to create more targeted acaricide applications rather than broadcast spraying, as well as increase homeowner awareness for areas with heightened risk for exposure to nymphal I. scapularis, which are deemed the most epidemiologically important species and stage for pathogen transfer to humans.

In the Lyme light: individual trait determinants of Borrelia burgdorferi infection in Peromyscus mice

Abstract Disease ecologists commonly use abiotic factors (e.g. temperature and moisture) or measures of biodiversity (e.g. species richness) to predict Lyme disease transmission patterns, but variance in infection probability among individuals within a population is poorly understood. Most studies assume intraspecific consistency, but recent evidence suggests that individual traits, such as animal personality, may drive differences in encounter rates with infected vectors and pathogen transmission probabilities through differential space use and microhabitat selection, leading to intraspecific variation in infection probability. In addition, because vectors and hosts are nonrandomly distributed across a landscape, land-use changes that modify key habitat features—such as forest management practices—may substantially alter associations between individual traits and infection probability. To address these gaps in our knowledge, we used a large-scale capture–mark–recapture study targeting Peromyscus mice in Maine, United States, to test whether personality drives probability of Borrelia burgdorferi infection in hosts within managed forest compartments with different silvicultural treatments. Specifically, we tested effects of individual phenotypic traits (physical and behavioral) and environmental traits (microhabitat and forest type) on infection probability within 2 species: P. leucopus and P. maniculatus. We found evidence that boldness negatively influences infection probability in P. maniculatus, and that body mass positively influences infection probability in both species. We found no effect of mouse density, microhabitat, or forest type in our analyses. These results suggest that personalities vary in their functional contributions to the natural cycle of B. burgdorferi, and that broader integration of behavioral diversity in disease ecology studies may aid in identifying key transmission zones for this rapidly expanding vector-borne zoonosis.

Living on the edge: forest edge effects on microclimate and terrestrial mammal activity in disturbed lowland forest in Sumatra, Indonesia

AbstractSpecies–environment relationships are often studied at large spatial scales, but effective conservation requires an understanding of local-scale environmental drivers and pressures. Widespread degradation and fragmentation of forests have increased the proportion of tropical mammal habitat that is affected by edge effects. Edge effects include greater exposure to anthropogenic disturbance and abiotic changes that synergistically influence how well populations can cope with climate change. We investigated relationships between distance to the forest edge, forest structure, microclimate and terrestrial mammal detections in a selectively logged forest at the boundary of Gunung Leuser National Park in Sumatra, Indonesia. We collected mammal detection data from motion-activated camera traps, microclimate data from automated climate data loggers and forest structure data from vegetation plots. Daily mean and maximum temperatures significantly decreased with distance from the forest edge, whereas tree height and minimum temperature increased. Mammal diversity was lower at the forest edge compared to the interior. Mammals were detected less frequently at the forest edge, although this relationship varied between mammal orders. Mammal detections were best explained by temperature, tree height and tree diameter at breast height. These results demonstrate that abiotic changes in forests brought on by edge effects have negative impacts on mammals, but these effects vary between mammal taxa because of differing sensitivities to human disturbance. Our findings highlight the importance of considering local-scale environmental drivers in determining species–environment relationships to identify key habitat features such as microclimate refuges that should be prioritized in ecosystem management.

Advances in remote sensing of freshwater fish habitat: A systematic review to identify current approaches, strengths and challenges

AbstractRemote sensing technology offers the ability to derive information on freshwater fish habitats across broad geographic areas and has the potential to transform approaches to monitoring. However, the numerous platforms, sensors and analytical software that are available may overwhelm those interested in utilizing this important technology and thus limit its broad application and uptake. Our review is intended to shed light on the capacity of this technology to transform freshwater fish habitat monitoring by examining the fundamental characteristics of the major remote sensing technologies that have been used for characterizing freshwater habitats, conducting a systematic literature review of studies that have used remote sensing technologies to characterize freshwater fish habitats and, highlighting some of the key habitat features, fish species and regions, that have been examined. Lastly, we identify the relative strengths and weaknesses of the various remote sensing technologies that can be used, recommend future research that could help improve the use of these technologies, and, provide a series of important considerations for those who are interested in utilizing these technologies for freshwater fish habitat characterization.

Conserving forest insect biodiversity requires the protection of key habitat features

Loss of insect biodiversity is widespread, and in forests habitat loss is one of the major drivers responsible. Integrative forest management must consider the preservation and promotion of key habitat features that provide essential microhabitats and resources to conserve biodiversity alongside ecosystem functions and services.

Can the habitat Ecological Infrastructure’s Diversity Index predict ant and bat biodiversity in Mediterranean agricultural floodplains? A multi-taxon approach using hierarchical modelling

Ecological Infrastructures (EIs) form a network of natural and semi-natural areas crucial to support biodiversity in human-altered landscapes. Several indices have been proposed to assess the ecological quality of EIs, but these have been seldom tested using animal biodiversity as a response variable. The Habitat Ecological Infrastructure's Diversity Index (HEIDI) was recently developed to assess the potential of EIs in supporting biological communities with distinct dispersal abilities. In this study, we evaluated the strength of the HEIDI as a proxy of ant (short-range dispersers) and bat (long-range dispersers) activity in two Mediterranean agricultural areas. For this, we applied a Hierarchical Modelling of Species Communities (HMSC) approach and modelled the multispecific response of ant and bat communities to the HEIDI values and to the scores of the individual categories that compose it. We additionally adopted a functional methodological approach by selecting as response variables the activity of functional guilds, namely animal community regulators, decomposers, and seed dispersers for the ant community, and the activity of echolocation guilds, such as short-range (BAT_SRE), mid-range (BAT_MRE), and long-range echolocators (BAT_LRE) for the bat community. Besides the HEIDI, we also used physiognomic and structural EI attributes, as well as the percentage of the agricultural matrix in the ecological area of influence as covariates in the HMSC approach. Our results showed that the HEIDI formula was particularly accurate in predicting bat activity (posterior mean estimates, βBAT_SRE = 2.80, βBAT_MRE = 0.61, βBAT_LRE = 2.76), but no significant relation was found between HEIDI values and ant activity. In the context of Mediterranean floodplain management, we recommend that practitioners may use the individual HEIDI categorical scores to identify key habitat features that promote ant and bat activity, such as vegetation and aquatic habitats, whilst final HEIDI values may be broadly used to estimate global bat activity.

Old forest structural development drives complexity of nest webs in a naturally disturbed boreal mixedwood forest landscape

Structural complexity generated by forest development processes and tree species compositional changes provide key habitat features for vertebrate communities that rely upon tree size and decay processes for foraging, denning or nesting. Complexity of forest structure in old stands could not only be key for harboring increased taxonomic species diversity but also greater functional diversity through more complexity in networks of tree cavity dependent species. Using a nest web approach that hierarchically links cavity-bearing trees with cavity formation agents (natural decay processes and avian excavators) and cavity users (non-excavator species), we compared network characteristics of nest webs along a time since fire gradient in a naturally disturbed boreal mixedwood forest landscape in eastern North America. Since 2003, twelve 24 to 40 ha plots ranging from 61 to more than 245 years after fire were surveyed at the Lake Duparquet Research and Teaching Forest in Abitibi, Quebec, Canada to detect active nesting, and denning cavities. We found that network complexity both in terms of number of vertebrate species and number of interactions among species, increased along the age gradient and was significantly higher in the older stands than predicted by chance. Whereas cavity-nesting communities in old forests used a higher diversity of tree species over a wide range of decay stages, trembling aspen remained a key cavity-bearing tree throughout the age gradient. Woodpeckers were the main cavity formation agents whereas less than 1% of cavities originated from natural decay. The structural development of older forests is thus a driver for functional diversity in cavity-using vertebrate communities through higher interaction richness in nest webs, among cavity-bearing trees, excavators and non-excavating users. The pivotal contribution of the entire gradient of old forest cover types to the overall complexity of nest webs in the boreal mixedwood zone is also a key for the resilience of the cavity-using vertebrate community to natural disturbances. We discuss how such resilience may be compromised by even-aged industrial timber harvesting with short rotations that shifts the age structure of boreal landscapes toward regenerating and young pole forests whereas old forest cover types become below their historical range of variability.

Feral pig (Sus scrofa) activity and landscape feature revisitation across four sites in eastern Australia

Quantifying feral pig movements and understanding the fine-scale ecological drivers of feral pig landscape use are important factors for optimising pest management programs. We tracked 59 GPS-collared feral pigs at four sites in eastern Australia between 2017 and 2021, for a mean of 375 ± 277 (s.d.) days. The mean number of successful GPS fixes was 15 577 ± 11 833 (s.d.) and these were recorded at 30-min intervals. We calculated mean hourly and daily distances travelled to determine feral pig activity and investigated the influence of sex, site, season and time of day on this activity. We also investigated the proximity of highly active sites to habitat covariates, along with intensity and frequency of site use. Male daily movement, 4.9 km (95% CI = 4.2, 5.6 km), was significantly greater than it was for females, 3.6 km (95% CI = 3.0, 4.1 km) and males maintained a high level of activity all night, while female activity was predominantly crepuscular. Study site was a significant determinant of daily movement, but season was not, across either sex or site. Highly-visited site selection was negatively associated with distance from creeks, dams, cultivation, open herbaceous vegetation and medium woody vegetation. Both medium woody vegetation and dam sites had the longest duration of use (3 and 2.7 h respectively) and the shortest time between visitations (14.5 and 13 h respectively). Quantifying feral pig activity and key habitat feature preference are important steps in improving management programs. Better prediction of feral pig movement and behaviour allows for more targeted placement of control tools, potentially increasing encounter rates.

Trait-based assessment of polychaete assemblages distinguishes macrofaunal community structure among four distinct benthic eco-regions on a shallow arctic shelf

In a rapidly changing Arctic, effects of taxonomic and functional composition of infaunal benthic communities on ecosystem function are poorly characterized for many areas of the continental shelf environment. Infaunal macrobenthos perform essential ecosystem services in soft-sediment habitats, including sediment oxygenation, organic-matter burial, and nutrient regeneration. Changes in the distribution and composition of infauna are likely to impact these important processes. We investigated spatial patterns in macrofauna on the northern Bering and southern Chukchi Sea continental shelves in conjunction with a suite of environmental variables as part of the Arctic Shelf Growth, Advection, Respiration, and Deposition (ASGARD) project. Depth-stratified macrofauna samples (>500 μm) were collected from multi-cores in June 2017 and 2018. Abundance and biomass were recorded for broad taxonomic categories (phylum or class). Polychaetes were identified to family to capture well-described functional-trait information. Functional guilds were assigned to polychaete families, reflecting feeding mode, motility, and feeding structures. Macrofauna exhibited no significant spatial patterns when examined at higher taxonomic levels; however, analysis of polychaete families yielded three distinct station groups, and polychaete functional guilds yielded four distinct groups. These groups were aligned with variations in key habitat characteristics and suggest variation in ecosystem function across the study area. At sandy stations, tube-dwelling, particle-selective suspension and surface deposit feeders were relatively abundant, reflecting an advective system with moderate current speeds and low deposition. Sites with gravelly substrate and moderate levels of organic matter in deeper sediment layers likely experience sporadic organic-matter deposition and disturbance from scouring and were inhabited by larger-bodied species, including bivalves and subsurface deposit-feeding or carnivorous polychaetes. Muddy, offshore stations in the southern Chukchi Sea also contained large bivalves and large carnivorous polychaetes, with evidence of high bioturbation. At more coastal Chukchi Sea stations, macrofauna were dominated by small, motile polychaetes concentrated in the 1-cm surface layer, with indications of anaerobic conditions below. Overall, polychaete functional traits and vertical distribution reflected the quality and quantity of organic matter input and the depositional environment inferred from grain size and current speed, with implications for biogeochemical cycling in sediments.

Livestock Ponds as Long-Term Habitat for Southwestern Pond Turtles (Actinemys pallida) in Rangeland Landscapes

The southwestern pond turtle (Actinemys pallida), a chelonian species declining in California, depends on aquatic habitats for its survival. This study examined the extent to which the southwestern pond turtle used livestock ponds in rangeland habitat in eastern Santa Clara County, California, and the importance of key habitat features as factors in the presence of turtles in livestock ponds. We found that 12 of the 16 ponds (75%) previously documented to have southwestern pond turtles within the last 15 yrs still supported individuals, while only 1 of 62 ponds (2%) not previously documented as occupied, had turtles, indicating that livestock ponds, especially those known to be occupied, provide important, long-term habitat for this species.

Rapid assessment of feeding traces enables detection of drivers of saproxylic insects across spatial scales

Knowledge of habitat requirements of saproxylic insects and their response to habitat changes is critical for assessing the ecological impacts of forest management. Several studies have demonstrated a positive relationship of tree-species richness, deadwood volume, or structural diversity with saproxylic species diversity, while the relationship with the abundance of potential pest species have often been negative. A better understanding of which factors drive saproxylic insects’ occurrence is therefore essential for deriving urgently needed thresholds for key habitat conditions. We tested a rapid assessment method applicable at large scale based on recorded feeding galleries and boreholes assessed during the Austrian National Forest Inventory to investigate the drivers and habitat thresholds of different saproxylic insect families; i.e. Buprestidae, Cerambycidae, Curculionidae, Siricidae, at multiple spatial scales; i.e. at the object, forest stand and landscape level. We modelled the relative abundance of all insects and these families considering nineteen explanatory variables using ordinal logistic regression models. Key habitat characteristics were identified using recursive partitioning. Our results revealed complex interactions among influencing factors at different spatial scales. We showed that deadwood volume was of surprisingly little importance. Instead, individual tree characteristics were of major importance, demonstrating the value of resource quality and variability. The abundance of all saproxylic insect families increased with advancing decomposition, on trees taller than 18 m, and above a living stand volume of 41 m3ha−1. Aiming to guide forest management, not only forest type-specific, but tree species-specific deadwood management is needed, taking into account site-specific conditions, including temperature and precipitation. For assessing temporal trends in insect colonization and habitat dynamics as well as the effects of forest management, we propose a continuous monitoring of insect traces, including living but weakened trees. This will allow for further thresholds that are urgently needed for maintaining biological diversity in forest ecosystems in the face of climate change.

Occupancy and probability of detection of the introduced population of Eleutherodactylus coqui in Turrialba, Costa Rica

The Puerto Rican Common coqui frog (Eleutherodactylus coqui) has a long history as an invasive species in places such as Hawaii. Since its introduction in Costa Rica, scarce information is available to understand why and how the habitat in the Turrialba town is suitable for the species. Our goal was to analyze the habitat selection of E. coqui to identify if there are key habitat features that explained its success there. We measured 9 site variables that may affect the habitat selection of E. coqui in 92 survey units of 10 m radius distributed over a 500 m radius from its introduction point. We registered the presence/pseudo-absence data of E. coqui and environmental variables in each survey unit during eight surveys. We ran occupancy models to determine the influence of the variables on the habitat selection and to estimate its detection probability. We found that sites near the introduction point, containing abundant vegetation, bromeliads, and palms have a higher probability to be occupied by E. coqui. The habitat selection in Costa Rica shares characteristics with the populations of Puerto Rico and Hawaii. But, unlike the case in Hawaii, in Costa Rica this species has maintained a limited dispersal because the potentially higher biotic resistance, as well a sedentary behavior. However, the microhabitat conditions used by E. coqui in the study site are common throughout the country. Therefore, active management in new populations and environmental education programs to avoid human transportation of the species is critical to reduce its dispersal.

Assessing the impact of the black summer fires on Kangaroo Island threatened invertebrates: towards rapid habitat assessments for informing targeted post-fire surveys

ABSTRACT The black summer fires of 2019–2020 burnt almost half of Kangaroo Island (KI), impacting large areas of high-quality native vegetation supporting many rare, endemic and/or undescribed invertebrate species. In the aftermath there was a need to survey for a range of species with few prior records and variable amounts of biological information. Therefore, a project was undertaken to perform Rapid Habitat Assessments (RHAs) for 13 priority KI invertebrate species, followed by species-specific surveys. RHAs are a method employed to quickly assess the presence/absence of key habitat features required by various taxa at a given site. Here, we used RHAs to assess the habitat of the 13 priority KI species and to prioritise a number of sites for species-specific surveys. Published data, expert knowledge and our own experience with the taxa, were used to define habitat features important to each taxon to target survey effort. Eight of the 13 priority taxa were located during surveys, within the burn scar or adjacent intact vegetation, revealing range extensions for five species. Species varied in susceptibility to fire and there is significant concern regarding the conservation status of limited-range KI endemics Moggridgea rainbowi KI micro-trapdoor spider, Zephyrarchaea austini KI assassin spider, and Psacadonotus insulanus KI robust fan-winged katydid. Given predictions of increasing climatic volatility, there is a need for methods to assess multiple species with differing life histories and limited associated data that quickly and accurately prioritise habitats for surveys.

Modelling the distribution of a key habitat feature to guide future on‐ground habitat assessment for an endangered specialist songbird

AbstractSpecies distribution models (SDMs) are often used during the planning stage of reintroduction programmes to model species' occurrence with the aim of selecting potential release sites. However, for many endangered species, only a low number of records are available, leading to models with low accuracy. When planning reintroductions for rare species, an alternative approach may be to model surrogate species that are more abundant or easier to locate. Here, we modelled the distribution of white gum (Eucalyptus viminalis), the preferred food tree of the forty‐spotted pardalote (Pardalotus quadragintus), a rare songbird for which reintroduction has been proposed. Using boosted regression trees, we modelled white gum distribution under current and future climate conditions with the aim of identifying areas of high probability of occurrence that later can be used to plan on ground habitat assessments for reintroductions. Our model show areas with high probability of white gum occurrence outside its currently mapped distribution, indicating that there may be opportunities for reintroduction of pardalotes beyond their current range. Predictions of future climate scenarios showed climate space shifts, not only with some decrease but also with substantial increase in the probability of suitability for occurrence under some scenarios. Our spatial predictions for white gum may be used to design a survey to ground‐truth our model and undertake a comprehensive habitat assessment for other habitat features forty‐spotted pardalotes need to persist. The approach used in our study may be used for other highly specialized species, not only in the context of reintroduction planning but also in the general management of data‐poor specialist species that depend on a more common resource.

Feature-dependent group structures and hierarchical songbird-habitat relationships in a managed forest landscape

We examined the importance of local habitat features on forest songbird distributions using a feature-dependent group framework that organizes species in relation to variable importance of species-habitat relationships. Habitat features included vegetation structure, floristics, and environmental (i.e., topography) classes. We also examined evidence for hierarchical habitat selection by assessing feature positioning within the ensemble structural models, Random Forests. From the 44 species examined, we distinguished 14 groups, comprising two to eight species per group, and examined variation in habitat importance across the groups. Overall, floristic species turnover, shrub density, canopy height, and tree basal area were among the most important features. On average, however, no specific feature class was more important than the others across the entire collection of species. Instead, we interpreted group partitioning to occur primarily by species differentiating among specific forest types, such as bottomland riparian or oak-dominated (Quercus spp.) stands, and species responding to structural variation across successional gradients. The positioning of habitat features within individual tree models showed that for those species among specific forest types, floristics features were selected first in the models followed by environmental features. Whereas when vegetation structural features were most important, structural features were typically selected first followed by floristics. The large variability in responses likely reflects the large heterogeneity in vegetation structure and composition present in our Central Hardwood, USA, forest landscape. In such cases, avian community assembly processes incorporated the primary moisture (mesic-xeric tree species) and successional (open- to closed-canopy) vegetative gradients of these forestlands, which underscores the importance of maintaining vegetation heterogeneity under accelerating environmental change. By including diverse suites of habitat types, we demonstrate how these features vary in their importance across songbird assemblages in a diverse forestland and identify key habitat features in the conservation of these bird communities.

Demonstration of a multi‐species, multi‐response state‐and‐transition model approach for wildlife management

AbstractLand management agencies have collaborated to standardize assessments of rangeland health. These assessments incorporate state‐and‐transition concepts of ecosystem function using ecological site descriptions (ESDs) initially developed to provide information on the soil, topography, climate, and vegetation at areas of interest. Combined, ESDs and state‐and‐transition models (STMs) describe existing and potential plant community dynamics. Unlike previous methods used to assess rangeland health, STMs take into account that multiple states exist in space and time across sites and that reversible and directional changes in vegetation can occur in response to factors such as fire, erosion, weather, and management activities. Wildlife responses are seldom incorporated into this framework. However, combining STMs, ESDs, and species‐specific habitat use and demographic data could provide land managers with tools that classify current ecosystem conditions, predict vegetative change, and inform management for maintaining or improving key habitat features for species of interest. To demonstrate a multi‐species, multi‐response STM approach for wildlife management, we quantified vegetation structure and composition as a function of time since prescribed burning and wildfire in four geographically distinct study areas. We found no significant differences in the topographic or vegetative characteristics of ecological sites within our study areas. Thus, we visualized habitat use and demographic data for our two avian study species, the golden‐cheeked warbler (Setophaga chrysoparia) and the black‐capped vireo (Vireo atricapilla), along with plant community transformations, in a single STM per study area. Our research demonstrates how STMs could be operationalized for wildlife management in such a way that accounts for co‐occurring species with contrasting habitat requirements. In addition, our approach further illustrates how STMs could provide land managers with guidance to minimize the negative effects or enhance the positive effects of disturbance and management activities on wildlife.

Altered fire regimes modify lizard communities in globally endangered Araucaria forests of the southern Andes

Wildfire regimes are being altered in ecosystems worldwide. The density of reptiles responds to fires and changes to habitat structure. Some of the most vulnerable ecosystems to human-increased fire frequency are old-growth Araucaria araucana forests of the southern Andes. We investigated the effects of wildfires on the density and richness of a lizard community in these ecosystems, considering fire frequency and elapsed time since last fire. During the 2018/2019 southern summer season, we conducted 71 distance sampling transects to detect lizards in Araucaria forests of Chile in four fire “treatments”: (1) unburned control, (2) long-term recovery, (3) short-term recovery, and (4) burned twice. We detected 713 lizards from 7 species. We found that the density and richness of lizards are impacted by wildfire frequency and time of recovery, mediated by the modification of habitat structure. The lizard community varied from a dominant arboreal species (L. pictus) in unburned and long-recovered stands, to a combination of ground-dwelling species (L. lemniscatus and L. araucaniensis) in areas affected by two fires. Araucaria forests provided key habitat features to forest reptiles after fires, but the persistence of these old-growth forests and associated biodiversity may be threatened given the increase in fire frequency.

The impact of water supplement on habitat suitability for breeding red-crowned cranes

With the increasing influence of climate change and human activities, water shortage in wetlands is becoming an urgent problem. In order to maintain waterfowl habitat and prevent wetland degradation, water management strategies have been implemented for many wetland reserves. However, there is often uncertainty concerning optimal water supply amount, especially during the breeding periods of endangered waterfowls. In this study, the MIKE 21 hydrodynamic model was used to simulate the impact of different water supply amounts on water depths in the Zhalong wetlands, China. The simulated water depths were utilized to evaluate the area of suitable habitat for breeding red-crowned cranes (Grus japonensis) based on the Maximum Entropy (MaxEnt) niche model. The optimal water supply amount was determined by maximizing the extent of suitable breeding red-crowned cranes habitat. Results suggest that for the Zhalong wetlands, water depth is the key habitat feature which determines the variability of suitable habitat extent. The optimal water supply amount for the Zhalong wetlands in 2014 was 1.13 × 108 m3, producing a suitable breeding habitat area of 237.25 km2 at the end of the water supply period, 50% greater than the suitable habitat extent with the existing water supplement scenario. The proposed method, combining a hydrodynamic model with the MaxEnt niche model, has the potential to determine optimal water supply amount to any semi-closed floodplain. The results of the current study can not only provide an evidence base for wetland water management, but also provide a scientific basis for the study of wetland eco-hydrological processes and their impact on wetland biological diversity conservation.

Land-use change alters associations between personality and microhabitat selection.

Ecologists commonly assess ecological patterns at the population level, focusing on the average response of all individuals within a population, but to predict how populations will respond to land-use change we must understand how changes to habitat differentially affect individuals within a population. For example, forest management is a widespread type of land-use that impacts wildlife through the loss of key habitat features, but individuals within a population may vary in their responses to this loss due to differences in habitat selection among individuals. Specifically, intraspecific variation in habitat selection has been linked to animal personalities (i.e., consistent behavioral differences among conspecifics), but previous research has not examined whether the relationship between personality and habitat selection is influenced by land-use change. To address this knowledge gap, we tested the hypothesis that land-use change alters the association between personality and microhabitat selection in small mammals. Specifically, we investigated two main questions: (1) To what extent are personality type and microhabitat selection correlated among conspecifics? (2) Does land-use change alter individual patterns of microhabitat selection? To answer these questions, we conducted a large-scale field experiment over 4 years, contrasting unmanaged forest (control) with managed forest (two silvicultural treatments) in Maine, USA. We examined the relationships between habitat selection and personality traits in deer mice (Peromyscus maniculatus) and southern red-backed voles (Myodes gapperi). We found that personality traits were correlated with microhabitat selection at multiple spatial scales. Furthermore, land-use change altered these patterns of selection; resulting in either the loss of personality-associated selection or in novel patterns of selection in managed forests. These findings suggest that promoting structural complexity at multiple spatial scales, such as by interspersing stands of mature forest with managed stands, may maintain a variety of intraspecific habitat selection patterns and the associated ecological outcomes.