Key Landscape Features Research Articles

Landscape properties and density dependence shape the movement patterns of three threatened butterflies

ContextConservation of endangered species necessitates an in-depth understanding of their ecological requirements. Particularly in landscape ecology, the behavioural tendencies of threatened butterfly species in Gotland, a biodiversity-rich island in the Baltic Sea, become crucial.ObjectivesThe primary aim of this study was to elucidate the movement patterns of three threatened butterfly species—Euphydryas aurinia, Parnassius apollo, and Phengaris arion—in Gotland and to identify the influence of specific land characteristics on these patterns.MethodsOur study, conducted from 2017 to 2020 across 60 km2 in Gotland, involved detailed capture-mark-recapture (CMR) efforts of 29,584 captures including 16,223 unique butterflies. We investigate the departure and arrival events of butterflies, specifically focusing on the associations between movements when individuals leave or enter a hectare grid different from their previously recorded location and key landscape features: open vegetated land, ground moisture, and forest cover. We model landscape features to examine the interplay between these and butterfly movement patterns, providing insights into preferred landscape features and conservation strategies.ResultsAmong the 4821 arrivals and 5083 departures documented, the species exhibited differential responses to the evaluated habitat features. Both E. aurinia and P. apollo displayed a positive density-dependent dispersal, while P. arion’s movements were not significantly associated with any of the examined habitat features. Landscape properties like open vegetated land and ground moisture index statistically influenced the likelihood of arrival and departure.ConclusionsThe study accentuates the relationship between land cover and the behavioural tendencies of the subject butterfly species. It has broader implications for the targeted habitat management strategies that would benefit threatened butterfly populations in Gotland.

‘I just need to know what they are and if you can help me’: Medicalization and the search for legitimacy in people diagnosed with non-epileptic attack disorder

This paper focuses on the struggles for legitimacy expressed by people with non-epileptic attack disorder (NEAD), one of the most common manifestations of functional neurological disorder presenting to emergency and secondary care services. Nonepileptic attacks are episodes of altered experience, awareness, and reduced self-control that superficially resemble epileptic seizures or other paroxysmal disorders but are not associated with physiological abnormalities sufficient to explain the semiological features. “Organic” or medicalized explanations are frequently sought by patients as the only legitimate explanation for symptoms, and consequently, a diagnosis of NEAD is often contested.Drawing on narrative interviews with patients from a small exploratory study and using a sociological perspective, we propose that a psychological account of NEAD does not provide a sufficiently legitimate path into a socially sanctioned sick role. This is a reflection of the dominance of biomedicine and the associated processes of medicalization. These processes are, we argue, the sole route to achieving legitimacy. The stress-based or psychologically oriented explanations offered to patients in contemporary medical models of the etiology of NEAD engender an uncertain identity and social position and fail to provide many patients with an account of the nature or origin of their symptoms that they find satisfactory or convincing.These struggles for legitimacy (shared by others with functional or somatoform conditions) are sharpened by key features of the contemporary healthcare landscape, such as the increasing framing of health through a lens of ‘responsibilization’.

More trees with your coffee? Diversity and habitat associations of terrestrial medium- and large-sized mammals in shade-grown coffee plantations of the highlands of Guatemala

Agricultural practices can have detrimental impacts on biodiversity, but some studies have shown the benefits of agroforestry practices like shade-grown coffee to bird communities and, to a lesser extent, to mammal communities. To better understand whether shade-grown coffee plantations can contribute to the conservation of mammal communities, we deployed camera traps in private reserves with a matrix of shade-grown coffee plantations and forest in the highlands of Guatemala. At each reserve we estimated species richness of terrestrial medium- and large-sized mammals. We also estimated mammal relative abundance and occupancy probabilities as proxies for mammalian habitat associations and evaluated how these were affected by key landscape features (e.g., land-use type, asphalt roads, and distance to protected areas). We used hierarchical multi-species Bayesian abundance models that account for imperfect detection to estimate our parameters of interest and model the influence of landscape features on site-level species richness and species relative abundance. We detected 14 species across all reserves and found a strong influence of land use and presence of asphalt roads on mammalian relative abundances and species richness. More species used areas around the camera traps in forest than in shade-grown coffee plantations and far from asphalt roads. Our study shows that reserves with shade-grown coffee plantations can harbor terrestrial mammalian communities of conservation interest. Our results also suggest that to maintain mammalian diversity and abundances in our study area, shade-grown coffee crops should be mixed in with natural forests and the presence of asphalt roads within these should be avoided or minimized.

Chlorophyll–total phosphorus relationships emerge from multiscale interactions from algae to catchments

AbstractChlorophyll and total phosphorus (TP) concentrations are key indicators of lake water quality and the relationship between them is a common tool for assessing lake trophic status. Despite the application of the chlorophyll–TP relationship in management settings, there is still an absence of a mechanistic understanding underlying its shape. We leveraged a process‐based model that focuses primarily on biogeochemical and physiological mechanisms to develop a framework that reconciles interactions between multiscale drivers of the chlorophyll–TP relationship, such as hydrologic P loads, lake shape, and algal physiology. We found that combinations of lake shape and hydrologic P load induce broad shifts in algal limitation status that underly the shape of the chlorophyll–TP relationship. Furthermore, we highlight the importance of algal traits in controlling shifts in limitation. Our framework ties key landscape and ecosystem features to biological limitation and provides a synthetic and process‐based understanding of the chlorophyll–TP relationship.

Transformation of Czech cultural landscapes over the past two centuries: typology based on model areas

Central European landscapes have undergone massive changes since the mid 19th century. Various driving forces including industrialization and different political decisions led to the processes that have profoundly influenced society, landscape character, and also heritage. This article focuses on thirty model areas across Czechia that were selected as typical representatives of various types of landscape changes. Based on land use/cover data covering the mid-19th century and the present time (2018−2020), a cluster analysis was carried out and model areas grouped into types/clusters. The results show that the main dividing line runs between intensively and extensively used landscapes. The current data show this division in a very clear manner and add one more type – anthropogenic landscapes. This differs from the expert typology based on key landscape features. They are often not big enough to play a significant role in the analysis of land use/cover change.

Crop and Semi-Natural Habitat Configuration Affects Diversity and Abundance of Native Bees (Hymenoptera: Anthophila) in a Large-Field Cotton Agroecosystem.

Simple SummaryCommercial cotton growing systems are one of the most intensely managed, economically, and culturally important fiber cropping systems worldwide. The composition and configuration of crop species and semi-natural habitat can have significant effects on ecosystem services such as pollination. Here, we investigated the local-scale effect on the arrangement of different crop fields and surrounding semi-natural habitat in a large-field commercial cotton system on the diversity and abundance of native bee pollinators. Using bee bowl traps at crop interfaces (cotton grown next to cotton, sorghum, or semi-natural habitat along with a natural habitat comparator), we found a total of 32 bee species in 13 genera across 3 families. The most abundant native bee was Melissodes tepaneca Cresson (>4000 individuals, ~75% of bees collected). A higher number of individuals were found in all cotton–crop interfaces compared to the cotton next to semi-natural habitat or natural habitat alone. Native bee communities were also found to be influenced by the crop interface. Communities of native bees in the cotton–crop interfaces tended to be more consistent in the number of bees and number of bee species. While cotton grown next to semi-natural habitat had a more diverse array of bees, the number of bees collected varied. These data suggest that native bee communities persist in large-field commercial cotton growing systems. Select species dominate (i.e., M. tepaneca) and thrive in this large-field cotton system where cotton–crop interfaces are key local landscape features. These data have implications for potential pollination benefits to cotton production. The findings contribute to a discussion regarding the role of large-field commercial cotton growing systems in conserving native bees.The cotton agroecosystem is one of the most intensely managed, economically and culturally important fiber crops worldwide, including in the United States of America (U.S.), China, India, Pakistan, and Brazil. The composition and configuration of crop species and semi-natural habitat can have significant effects on ecosystem services such as pollination. Here, we investigated the local-scale effect of crop and semi-natural habitat configuration in a large field (>200 ha in size) cotton agroecosystem on the diversity and abundance of native bees. The interfaces sampled included cotton grown next to cotton, sorghum or semi-natural habitat along with a natural habitat comparator. Collections of native bees across interface types revealed 32 species in 13 genera across 3 families. Average species richness metrics ranged between 20.5 and 30.5, with the highest (30.5) at the interface of cotton and semi-natural habitat. The most abundant species was Melissodes tepaneca Cresson (>4000 individuals, ~75% of bees collected) with a higher number of individuals found in all cotton–crop interfaces compared to the cotton interface with semi-natural habitat or natural habitat alone. It was also found that interface type had a significant effect on the native bee communities. Communities of native bees in the cotton–crop interfaces tended to be more consistent in species richness and abundance. While cotton grown next to semi-natural habitat had higher species richness, the number of bees collected varied. These data suggest that native bee communities persist in large-field cotton agroecosystems. Selected species dominate (i.e., M. tepaneca) and thrive in this large-field cotton system where cotton–crop interfaces are key local landscape features. These data have implications for potential pollination benefits to cotton production. The findings also contribute to a discussion regarding the role of large-field commercial cotton growing systems in conserving native bees.

Mapping Cultural Ecosystem Services (CESs) and key urban landscape features: a pilot study for land use policy and planning review

ABSTRACT Cultural ecosystem services (CESs), despite providing multiple non-material benefits associated with human well-being, have been overlooked in urban planning. Using as a pilot study the municipality of Belo Horizonte, Brazil, we map and evaluate the inclusion of CESs into land use policy to better inform urban planning. We tested a framework for: (1) assessing the preferences of local inhabitants for CESs and landscape features; (2) evaluating land use policies; and (3) mapping CES hotspots in the city. We found sense of place and recreation to be the main CESs associated with parks, squares and cultural centres. No land use policy explicitly mentioned CESs, while the zoning plans do not reflect bundles of spatial non-material values and landscape features. This pilot study can play a vital role in developing more comprehensive insights to bridge urban planning and landscape preferences to help guiding land use policy review towards sustainable urbanisation.

Place and transformative learning in climate change focused community science

Community science involves the co-creation of scientific pursuits, learning, and outcomes and is presented as a transformative practice for community engagement and environmental governance. Emphasizing critical reflection, this study adopts Mezirow’s conception of transformative learning to theorize the transformative capacity of community science. Findings from interviews with participants in a community science program reveal critical reflection, although instances acknowledging attitudes and beliefs without challenging personal assumptions were more common. Program elements most likely to prompt participants to identify beliefs, values, and assumptions include data collection and interaction in team dynamics, whereas data collection in a novel environment was most likely to prompt participants to challenge their beliefs, values, and assumptions. A review of 71 climate change focused programs further demonstrates the extent that program designs support transformative learning. Key features of the community science landscape like the broad inclusion of stated learning objectives offer a constructive starting point for deepening transformative capacity, while the dominance of contributory program designs stands as a likely roadblock. Overall, this study contributes by applying a developed field to theorize transformation in relation to community science and by highlighting where facilitators should focus program design efforts to better promote transformation toward environmental sustainability.

Airborne hyperspectral characterisation of hydrothermal alteration in a regolith-dominated terrain, southern Gawler Ranges, South Australia

Key alteration minerals associated with epithermal and porphyry Cu–Au mineralisation have been successfully identified using HyMap airborne hyperspectral imagery in a regolith-dominated terrain in the southern Gawler Ranges, South Australia. Alteration assemblages were mapped using Spectral Feature Fitting, a spectral matching algorithm, identifying the spatial distribution of localised advanced argillic and broader argillic alteration. X-ray diffraction (XRD) analysis was undertaken to independently identify the mineralogy of 57 surface soil and rock samples collected from the study area. This analysis confirmed the presence of key alteration minerals including alunite, pyrophyllite and dickite. The integration of spectral and XRD analytical techniques allowed interpretation of mineralogical patterns across the landscape. This study demonstrates that it is possible to identify surface alteration related to potential mineralisation using airborne hyperspectral imagery and semi-quantitative XRD even in a weathered regolith-dominated terrain. KEY POINTS Advanced argillic and argillic alteration identified through hyperspectral image analysis in a regolith-dominated terrain X-ray diffraction used to validate the presence of advanced argillic alteration minerals alunite, pyrophyllite and dickite in the landscape Relationship of advanced argillic and argillic alteration interpreted in two key landscape features in the context of a porphyry mineral system Demonstrates potential for detection of alteration signatures with airborne hyperspectral imagery in regolith-dominated terrains elsewhere

Planning for Dynamic Connectivity: Operationalizing Robust Decision-Making and Prioritization Across Landscapes Experiencing Climate and Land-Use Change

Preserving landscape connectivity is one of the most frequently recommended strategies to address the synergistic threats of climate change, habitat fragmentation, and intensifying disturbances. Although assessments to develop plans for linked and connected landscapes in response to climate and land-use change have been increasingly employed in the last decade, efforts to operationalize and implement these plans have been limited. Here, we present a framework using existing, available biological data to design an implementable, comprehensive multispecies connectivity plan. This framework uses a scenario-based approach to consider how ecosystems, habitats, and species may need to adapt to future conditions with an ensemble of connectivity models. We use the south coast ecoregion of California as an example to evaluate and prioritize linkages by combining linked metapopulation models and key landscape features (e.g., conservation planning status and implementation feasibility) to identify and prioritize a multispecies linkage network. Our analyses identified approximately 30,000 km2 of land, roughly one-fifth of our study area, where actions to preserve or enhance connectivity may support climate adaptation, nearly half of which is already conserved. By developing and implementing a dynamic connectivity assessment with an eye towards projected changes, our analysis demonstrates how dynamic connectivity can be integrated into feasible regional conservation and management plans that account for demographic as well as landscape change. We observed overlap across multiple models, reinforcing the importance of areas that appeared across methods. We also identified unique areas important for connectivity captured by our complementary models. By integrating multiple approaches, the resultant linkage network is robust, building on the strengths of a variety of methods to identify model consensus and reduce uncertainty. By linking quantitative connectivity metrics with prioritized areas for conservation, our approach supports transparent and robust decision-making for landscape planning, despite uncertainties of climate and land-use change.

Northern bobwhite breeding season habitat selection in fire‐maintained pine woodland

ABSTRACTDespite the acknowledged importance of prescribed fire in creating northern bobwhite (Colinus virginianus) breeding cover, little research has investigated bobwhite breeding season habitat selection relative to time since fire. In 2016 and 2017, we monitored radio‐tagged bobwhite on a 17,000‐ha portion of a military installation managed with frequent (every ~3 years) prescribed fires, applied during the growing and dormant seasons. We monitored bobwhite to determine which vegetation characteristics associated with prescribed burning were important to bobwhite breeding season habitat selection at the microsite (i.e., telemetry location compared to nearby random location) and the macrosite scale (i.e., the burn‐unit containing the location compared to study area availability). During 2 breeding seasons, we collected 2,315 bobwhite locations and compared percent cover of vegetation, days since burn, basal area, and distance to key landscape features (e.g., stream, wildlife opening) at a subset of microsite locations (301 locations during 2016 and 890 locations during 2017) to paired random locations. At the microsite scale, bobwhite selected lower basal area of hardwoods, greater woody understory cover, greater other (not wiregrass [Aristida stricta]) grass cover, and greater forb cover than at random points. At the macrosite scale, bobwhite selected units with <4.6 m2/ha basal area (combined hardwoods and pines) in 2016 and units with <9.2 m2/ha basal area in 2017. At the macrosite scale, bobwhite selected for areas burned in the dormant season of the same year, avoided areas burned in the growing season of the same year, and used other times since last burn categories proportionate to their availability. The selection for a low basal area at both scales indicates prescribed fire effects would be limited by shading from dense overstory, and the shrubs, grasses, and forbs that provide essential cover for bobwhite during the breeding season will not develop. In lower productivity soil regions similar to our study area, we advise that thinning operations set target basal areas below 10 m2/ha to create and maintain breeding season habitat for northern bobwhite. © 2019 The Wildlife Society

Key landscape features in the provision of ecosystem services: Insights for management

Whereas ecosystem service research is increasingly being promoted in science and policy, the utilisation of ecosystem services knowledge remains largely underexplored for regional ecosystem management. To overcome the mere generation of knowledge and contribute to decision-making, scientists are facing the challenge of articulating specific implications of the ecosystem service approach for practical land use management. In this contribution, we compare the results of participatory mapping of ecosystem services with the existing management plan for the Pentland Hills Regional Park (Scotland, UK) to inform its future management plan. By conducting participatory mapping in a workshop with key stakeholders (n = 20), we identify hotspots of ecosystem services and the landscape features underpinning such hotspots. We then analyse to what extent these landscape features are the focus of the current management plan. We found a clear mismatch between the key landscape features underpinning the provision of ecosystem services and the management strategy suggested. Our findings allow for a better understanding of the required focus of future land use management to account for ecosystem services.

Genomic data recover previously undetectable fragmentation effects in an endangered amphibian.

A critical consideration when using molecular ecological methods to detect trends and parameterize models at very fine spatial and temporal scales has always been the technical limits of resolution. Key landscape features, including most anthropogenic modifications, can cause biologically important, but very recent changes in gene flow that require substantial statistical power to detect. The problem is one of temporal scale: Human change is rapid and recent, while genetic changes accumulate slowly. We generated SNPs from thousands of nuclear loci to characterize the population structure of New York-endangered eastern tiger salamanders (Ambystoma tigrinum) on Long Island and quantify the impacts of roads on population fragmentation. In stark contrast to a recent microsatellite study, we uncovered highly structured populations over an extremely small spatial scale (approximately 40km2 ) in an increasingly human-modified landscape. Geographic distance and the presence of roads between ponds were both strong predictors of genetic divergence, suggesting that both natural and anthropogenic factors contribute to the observed patterns of genetic variation. All ponds supported small to modest effective breeding populations, and pond surface area showed a strong positive correlation with population size. None of these patterns emerged in an earlier study of the same system using microsatellite loci, and we determined that at least 300-400SNPs were needed to recover the fine-scale population structure present in this system. Conservation assessments using earlier genetic techniques in other species may similarly lack the statistical power for small-scale inferences and benefit from reassessments using genomic tools.

AMMA‐CATCH, a Critical Zone Observatory in West Africa Monitoring a Region in Transition

Core Ideas AMMA‐CATCH is a long‐term critical zone observatory in West Africa. Four sites sample the sharp ecoclimatic gradient characteristic of this region. Combined measurements of meteorology, water, and vegetation dynamics began in 1990. Intensification of rainfall and hydrological cycles is observed. The strong overall re‐greening may hide contrasted changes. West Africa is a region in fast transition from climate, demography, and land use perspectives. In this context, the African Monsoon Multidisciplinary Analysis (AMMA)–Couplage de l'Atmosphère Tropicale et du Cycle eco‐Hydrologique (CATCH) long‐term regional observatory was developed to monitor the impacts of global change on the critical zone of West Africa and to better understand its current and future dynamics. The observatory is organized into three thematic axes, which drive the observation and instrumentation strategy: (i) analyze the long‐term evolution of eco‐hydrosystems from a regional perspective; (ii) better understand critical zone processes and their variability; and (iii) meet socioeconomic and development needs. To achieve these goals, the observatory has gathered data since 1990 from four densely instrumented mesoscale sites (∼104 km2 each), located at different latitudes (Benin, Niger, Mali, and Senegal) so as to sample the sharp eco‐climatic gradient that is characteristic of the region. Simultaneous monitoring of the vegetation cover and of various components of the water balance at these four sites has provided new insights into the seemingly paradoxical eco‐hydrological changes observed in the Sahel during the last decades: groundwater recharge and/or runoff intensification despite rainfall deficit and subsequent re‐greening with still increasing runoff. Hydrological processes and the role of certain key landscape features are highlighted, as well as the importance of an appropriate description of soil and subsoil characteristics. Applications of these scientific results for sustainable development issues are proposed. Finally, detecting and attributing eco‐hydrological changes and identifying possible regime shifts in the hydrologic cycle are the next challenges that need to be faced.

Key features of an Hsp70 chaperone allosteric landscape revealed by ion-mobility native mass spectrometry and double electron-electron resonance

Proteins are dynamic entities that populate conformational ensembles, and most functions of proteins depend on their dynamic character. Allostery, in particular, relies on ligand-modulated shifts in these conformational ensembles. Hsp70s are allosteric molecular chaperones with conformational landscapes that involve large rearrangements of their two domains (viz. the nucleotide-binding domain and substrate-binding domain) in response to adenine nucleotides and substrates. However, it remains unclear how the Hsp70 conformational ensemble is populated at each point of the allosteric cycle and how ligands control these populations. We have mapped the conformational species present under different ligand-binding conditions throughout the allosteric cycle of the Escherichia coli Hsp70 DnaK by two complementary methods, ion-mobility mass spectrometry and double electron-electron resonance. Our results obtained under biologically relevant ligand-bound conditions confirm the current picture derived from NMR and crystallographic data of domain docking upon ATP binding and undocking in response to ADP and substrate. Additionally, we find that the helical lid of DnaK is a highly dynamic unit of the structure in all ligand-bound states. Importantly, we demonstrate that DnaK populates a partially docked state in the presence of ATP and substrate and that this state represents an energy minimum on the DnaK allosteric landscape. Because Hsp70s are emerging as potential drug targets for many diseases, fully mapping an allosteric landscape of a molecular chaperone like DnaK will facilitate the development of small molecules that modulate Hsp70 function via allosteric mechanisms.

Unexpectedly High Detections of Wolverine (Gulo gulo) in Southwestern British Columbia

We conducted an inventory of Wolverines (Gulo gulo) in southwestern British Columbia in winter 2012, using a multi-method approach of non-invasive genetic tagging and camera trapping. We detected a minimum of 4 females and 2 males at 5 hair-snag stations within an area of approximately 225 km2, which exceeded expectations based on predictions of low habitat quality and density from a broad-scale provincial model. Results were consistent with known adult intrasexual spacing patterns, suggesting that individuals were unlikely to represent members of a family group; however, overlap of territories could be a possible explanation of our results given the presence of potentially high-quality habitat features in our study area. Another possibility is that Wolverine density is higher in this part of the province than predicted by the model, potentially due to differences in food supply and key landscape features between this area and the areas where the model was developed. Further research is recommended to allow us to distinguish among competing hypotheses and fill data gaps on Wolverine ecology in this poorly studied coastal-transitional mountainous ecosystem.

Open space and their attributes, uses and restorative qualities in an earthquake emergency scenario: The case of Concepción, Chile

Understanding landscape attributes, uses and their restorative potential is crucial in recovery and management interventions in disaster-prone environments. However, little is known about the role of key landscape features and how they work as an agent of recovery in the event of an earthquake. This study examined the relationship between landscape attributes and landscape use, and the relationship between restorative and landscape dimensions in Concepción, Chile, an earthquake prone city. Landscapes refer here to open spaces, both public and private, in cities or nearby, used for earthquake recovery. Through a Multiple Sorting Technique (based on Kelly⿿s Personal Construct Theory), one hundred and thirteen respondents were asked to evaluate and sort 60 landscape photographs representing open spaces used by the community for earthquake recovery. Participants explored the different uses of the open space in two scenarios: emergency (in case of an earthquake) and non-emergency (use in daily life). Multivariate analyses revealed that in a non-emergency scenario, open spaces with nature-related features and with urban facilities were the best-loaded attributes. In contrast, in an emergency scenario, the presence/absence of water and the level of urbanization were the most important attributes determining open space use. The results also showed that in the emergency scenario, restorative qualities do not seem to play a significant role and were not associated with any kind of environmental use. The paper highlights the relevance of greenery, water, and built features in post-disaster planning and community recovery.

Dry-washes determine gene flow and genetic diversity in a common desert shrub

In deserts, many plant species exhibit a patchy spatial distribution within a harsh habitat matrix, where the likelihood of propagule dispersal among patches is uncertain, but may be promoted by landscape corridors or dispersal vectors. We examine the connectivity of a representative desert plant species (Acacia (Senegalia) greggii), and the ability of three major factors (animal dispersal agents, water flow along dry-washes, and climate) to facilitate dispersal within four watersheds in the Mojave National Preserve. We genotyped 323 individuals sampled across 22 one-hectare sites using ten nuclear microsatellite markers. A hierarchical AMOVA revealed no significant differentiation among watersheds (F RT = 0.00, P > 0.10), and very little genetic structure among all sites (F ST = 0.03, P 0.05), a distance measure based on rodent dispersal (P > 0.05), and a distance measure avoiding inhospitable climate (P > 0.05). An AIC comparison of generalized linear models found that within site genetic diversity (H E and allelic richness) and average relatedness were best explained by slope (which increases seed dispersal potential via water flow) and area of the upstream watershed (which determines the number of potential seed donors), rather than plant density or habitat suitability. Together, these findings indicate that dry-washes are key landscape features that enhance dispersal and regional connectivity in this patchy desert plant.

Mapping of riparian invasive species with supervised classification of Unmanned Aerial System (UAS) imagery

Riparian zones are key landscape features, representing the interface between terrestrial and aquatic ecosystems. Although they have been influenced by human activities for centuries, their degradation has increased during the 20th century. Concomitant with (or as consequences of) these disturbances, the invasion of exotic species has increased throughout the world’s riparian zones.In our study, we propose a easily reproducible methodological framework to map three riparian invasive taxa using Unmanned Aerial Systems (UAS) imagery: Impatiens glandulifera Royle, Heracleum mantegazzianum Sommier and Levier, and Japanese knotweed (Fallopia sachalinensis (F. Schmidt Petrop.), Fallopia japonica (Houtt.) and hybrids). Based on visible and near-infrared UAS orthophoto, we derived simple spectral and texture image metrics computed at various scales of image segmentation (10, 30, 45, 60 using eCognition software). Supervised classification based on the random forests algorithm was used to identify the most relevant variable (or combination of variables) derived from UAS imagery for mapping riparian invasive plant species. The models were built using 20% of the dataset, the rest of the dataset being used as a test set (80%).Except for H. mantegazzianum, the best results in terms of global accuracy were achieved with the finest scale of analysis (segmentation scale parameter=10). The best values of overall accuracies reached 72%, 68%, and 97% for I. glandulifera, Japanese knotweed, and H. mantegazzianum respectively. In terms of selected metrics, simple spectral metrics (layer mean/camera brightness) were the most used. Our results also confirm the added value of texture metrics (GLCM derivatives) for mapping riparian invasive species.The results obtained for I. glandulifera and Japanese knotweed do not reach sufficient accuracies for operational applications. However, the results achieved for H. mantegazzianum are encouraging. The high accuracies values combined to relatively light model-inputs needed (delineation of a few umbels) make our approach a serious contender as a cost-effective tool to improve the field management of H. mantegazzianum.

Climatic controls on groundwater–surface water interactions within the Boreal Plains of Alberta: Field observations and numerical simulations

Hydrologic data were collected over eleven years at a catchment situated in low permeability glacial terrain within the Boreal Plains (Alberta, Canada) to evaluate the hydrologic interactions occurring between landscape units (i.e., shallow pond, extensive peatlands, aspen forested hillslopes). Two-dimensional numerical models were developed using a fully-integrated groundwater–surface water model to evaluate key landscape features that allow these ecosystems to persist within the sub-humid climate. Study results show that the dynamic interactions between the pond and peatlands are driven by precipitation and evapotranspiration. As a result, pond and peatland water levels reflect recent climatic trends. Limited hillslope contributions to the peatlands occur, indicating they are not required within this climatic setting for long-term maintenance. Instead, the peatlands conserve water within the landscape and supply it to adjacent landscape units. By contrast, the pond and the aspen forested hillslopes are dominated by high rates of evapotranspiration, and represent net water sinks within the landscape. Further simulations indicate these hydrologic systems are sensitive to pond and peatland evapotranspiration rates, and the hydraulic conductivity of the underlying glacial till substrate.