Testing concordance and conflict in spatial replication of landscape genetics inferences

The field of landscape genetics relates habitat features and genetic information to infer dispersal and genetic connectivity between populations or individuals distributed across a landscape. Such studies usually focus on a small portion of a species range, and the degree to which these geographically restricted results can be extrapolated to different areas of a species range remains poorly understood. Studies that have focused on spatial replication in landscape genetics processes either evaluate a small number of sites, are informed by a small set of genetic markers, analyze only a small subset of environmental variables, or implement models that do not fully explore parameter space. Here, we used a broadly distributed ectothermic lizard (Sceloporus occidentalis, Western Fence lizard) as a model species to evaluate the full role of topography, climate, vegetation, and roads on dispersal and genetic differentiation. We conducted landscape genetics analyses in five areas within the Sierra Nevada mountain range, using thousands of ddRAD genetic markers distributed across the genome, implemented in the landscape genetics program ResistanceGA. Across study areas, we found a great deal of consistency in the variables impacting genetic connectivity, but also noted site-specific differences in the factors in each study area. High-elevation colder areas were consistently found to be barriers to gene flow, as were areas of high ruggedness and slope. High temperature seasonality and high precipitation during the winter wet season also presented a substantial barrier to gene flow in a majority of study areas. The effect of other landscape variables on genetic differentiation was more idiosyncratic and depended on specific attributes at each site. Vegetation type was found to substantially affect gene flow only in the southernmost Sequoia site, likely due to a higher proportion of desert habitat here, thereby fragmenting habitats that have lower costs to dispersal. The effect of roads also varied between sites and may be related to differences in road usage and amount of traffic in each area. Across study areas, canyons were always substantially implicated as facilitators to dispersal and key features linking populations and maintaining genetic connectivity across landscapes. We emphasize that spatial data layers are complex and multidimensional, and a careful consideration of associations between variables is vital to form sound conclusions about the critical factors affecting dispersal and genetic connectivity across space.

Novel Insights to Be Gained From Applying Metacommunity Theory to Long-Term, Spatially Replicated Biodiversity Data

Global loss of biodiversity and its associated ecosystem services is occurring at an alarming rate and is predicted to accelerate in the future. Metacommunity theory provides a framework to investigate multi-scale processes that drive change in biodiversity across space and time. Short-term ecological studies across space have progressed our understanding of biodiversity through a metacommunity lens, however, such snapshots in time have been limited in their ability to explain which processes, at which scales, generate observed spatial patterns. Temporal dynamics of metacommunities have been understudied, and large gaps in theory and empirical data have hindered progress in our understanding of underlying metacommunity processes that give rise to biodiversity patterns. Fortunately, we are at an important point in the history of ecology, where long-term studies with cross-scale spatial replication provide a means to gain a deeper understanding of the multiscale processes driving biodiversity patterns in time and space to inform metacommunity theory. The maturation of coordinated research and observation networks, such as the United States Long Term Ecological Research (LTER) program, provides an opportunity to advance explanation and prediction of biodiversity change with observational and experimental data at spatial and temporal scales greater than any single research group could accomplish. Synthesis of LTER network community datasets illustrates that long-term studies with spatial replication present an under-utilized resource for advancing spatio-temporal metacommunity research. We identify challenges towards synthesizing these data and present recommendations for addressing these challenges. We conclude with insights about how future monitoring efforts by coordinated research and observation networks could further the development of metacommunity theory and its applications aimed at improving conservation efforts.

Roadkill mitigation: trialing virtual fence devices on the west coast of Tasmania

Wildlife roadkill is a worldwide issue being tackled using several mitigation methods that have variable efficacy. Tasmania has a significant roadkill issue, and several endemic species that are vulnerable to roadkill. Virtual fence devices are manufactured in Austria and were originally designed to mitigate against the impact of vehicles hitting large game species such as deer and boar. Here, we trial the devices over three years at a single site in Tasmania to determine whether they are effective in reducing roadkill of Tasmanian mammal species. While there was no spatial replication in this trial, a reduction in total roadkill rate, and in the most commonly affected species, by 50% suggests that these devices have enormous potential to substantially reduce roadkill rates. Many unique mammal species no longer found in the wild on mainland Australia are still found in Tasmania, making mitigating roadkill hotspots an important conservation tool to help maintain presence of these species in their last remaining stronghold. Road managers, including councils, in other Australian States that suffer from high rates of wildlife roadkill may benefit from the knowledge of the results of this trial.

Spatial and temporal variation in the structure of estuarine macroinvertebrate assemblages: implications for assessing the health of estuaries

As human impacts in estuaries are often pervasive (estuary-wide) and/or pre-existing, the identification of suitable reference points, from which to assess the extent of impacts, is problematic. One solution is to compare potentially degraded estuaries with estuaries deemed to be largely unmodified by human activities. However, there is a perception that individual estuaries are too spatially and temporally dynamic to allow valid comparisons to be made using such an approach. We tested this idea for a commonly used indicator, benthic macroinvertebrates, using a factorial design incorporating both temporal and spatial scales between and within three adjacent meso-tidal river estuaries in northern Tasmania. Variation in macroinvertebrate assemblage structure was analysed using permutational multivariate analysis of variance. Most variance occurred within estuaries (68–82% variance) relative to spatial differences between estuaries (24–14%) corresponding with a strong upstream estuarine gradient and small-scale spatial patchiness. Seasonal variation accounted for 9–4% of total variance indicating that temporal differences were relatively insignificant when contrasted against spatial variability within and between estuaries. We suggest that with sufficient spatial replication at the within estuary-scale, entire estuaries may act as whole reference systems, allowing studies to examine potential impacts within estuaries with spatially diffuse, pre-existing human impacts.