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123 results for “Landscape ecology”
Data from: Leveraging satellite observations to reveal ecological drivers of pest densities across landscapes
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The R package enerscape: A general energy landscape framework for terrestrial movement ecology
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Data from: Constrained optimization of landscape indices in conservation planning to support ecological restoration in New Caledonia
<p>1. Curbing habitat loss, reducing fragmentation, and restoring connectivity are frequent concerns of conservation planning. In this respect, the incorporation of spatial constraints, fragmentation, and connectivity indices into optimization procedures is an important challenge for improving decision support.</p> <p>2. Here we present a novel optimization approach developed to accurately represent a broad range of conservation planning questions with spatial constraints and landscape indices. Relying on constraint programming, a technique from artificial intelligence based on automatic reasoning, this approach provides both constraint satisfaction and optimality guarantees.</p> <p>3. We applied this approach in a real case study to support managers of the ``Côte Oubliée -- `Woen Vùù -- Pwa Pereeù'' provincial park project, in the biodiversity hotspot of New Caledonia. Under budget, accessibility, and equitable allocation constraints, we identified restorable areas optimal for reducing forest fragmentation and improving inter-patch structural connectivity, respectively measured with the effective mesh size and the integral index of connectivity.</p> <p>4. Synthesis and applications. Our work contributes to more effective and policy-relevant conservation planning by providing a spatially-explicit and problem-focused optimization approach. By allowing an exact representation of spatial constraints and landscape indices, it can address new questions and ensure whether the solutions will be socio-economically feasible, through optimality and satisfiability guarantees. Our approach is generic and flexible, thus applicable to a wide range of conservation planning problems such as ecological restoration planning, reserve or corridor design.</p>
Common barriers, but temporal dissonance: genomic tests suggest ecological and paleo-landscape sieves structure a coastal riverine fish community
<p>Assessments of spatial and temporal congruency across taxa from genetic data provide insights into the extent to which similar processes structure communities. However, for coastal regions that are affected continuously by cyclical sea-level changes over the Pleistocene, congruent interspecific response will not only depend upon co-distributions, but also on similar dispersal histories among taxa. Here, we use SNPs to test for concordant genetic structure among four co-distributed taxa of freshwater fishes (Teleostei: Characidae) along the Brazilian Atlantic coastal drainages. Based on population relationships and hierarchical genetic structure analyses, we identify all taxa share the same geographic structure suggesting the fish utilized common passages in the past to move between river basins. In contrast to this strong spatial concordance, model-based estimates of divergence times indicate that despite common routes for dispersal, these passages were traversed by each of the taxa at different times resulting in varying degrees of genetic differentiation across barriers with most divergences dating to the Upper Pleistocene, even when accounting for divergence with gene flow. Interestingly, when this temporal dissonance is viewed through the lens of the species-specific ecologies, it suggests that an ecological sieve influenced whether species dispersed readily, with an ecological generalist showing the highest propensity for historical dispersal among the isolated rivers of the Brazilian coast (i.e., the most recent divergence times and frequent gene flow estimated for barriers). We discuss how our findings, and in particular what the temporal dissonance, despite common geographic passages, suggest about past dispersal structuring coastal communities as a function of ecological and paleo-landscape sieves.</p>
Ecological drivers of avian diversity in a subtropical landscape: effects of habitat diversity, primary productivity and anthropogenic disturbance
<p>Understanding the roles of ecological drivers in shaping biodiversity is fundamental for conservation practice. In this study, we explored the effects of elevation, conservation status, primary productivity, habitat diversity, and anthropogenic disturbance (represented by human population density and birding history) on taxonomic, phylogenetic and functional avian diversity in a subtropical landscape in southeastern China. We conducted bird surveys using 1-km transects across a total of 30 sites, of which 10 sites were located within a natural reserve. Metrics of functional diversity were calculated based on six functional traits (body mass, clutch size, dispersal ratio, sociality, diet and foraging stratum). We built simultaneous autoregression models to assess the association between the ecological factors and diversity of the local avian communities. Local avian diversity generally increased with increasing habitat diversity, human population density and primary productivity. We also detected phylogenetic and functional clustering in these communities, suggesting that the avian assemblages were structured mainly by environmental filtering, rather than interspecific competition. Compared to sites outside the natural reserve, sites within the natural reserve had relatively lower avian diversity but a higher level of phylogenetic heterogeneity.</p>
Data for: Social-ecological predictors of spotted hyena navigation through a shared landscape
<p>Human-wildlife interactions are increasing in severity due to climate change and proliferating urbanization. Regions where human infrastructure and activity are rapidly densifying or newly appearing constitute novel environments in which wildlife must learn to coexist with people, thereby serving as ideal case studies with which to infer future human-wildlife interactions in shared landscapes.<em> </em>As a widely reviled and behaviorally plastic apex predator, the spotted hyena (<em>Crocuta crocuta</em>) is a model species for understanding how large carnivores navigate these human-caused 'landscapes of fear' in a changing world. Using high-resolution GPS collar data, we applied resource selection functions and step selection functions to assess spotted hyena landscape navigation and fine-scale movement decisions in relation to social-ecological features in a rapidly developing region comprising two protected areas: Lake Nakuru National Park and Soysambu Conservancy, Kenya. We then used camera trap imagery and Barrier Behavior Analysis (BaBA) to further examine hyena interactions with barriers. Our results show that environmental factors, linear infrastructure, human-carnivore conflict hotspots, and human tolerance were all important predictors for landscape-scale resource selection by hyenas, while human experience elements were less important for fine-scale hyena movement decisions. Hyena selection for these characteristics also changed seasonally and across land management types. Camera traps documented an exceptionally high number of individual spotted hyenas (234) approaching the national park fence at 16 sites during the study period, and BaBA results suggested that hyenas perceive protected area boundaries' semi-permeable electric fences as risky but may cross them out of necessity. Our findings highlight that the ability of carnivores to flexibly respond within human-caused landscapes of fear may be expressed differently depending on context, scale, and climatic factors. These results also point to the need to incorporate societal factors into multiscale analyses of wildlife movement to effectively plan for human-wildlife coexistence.</p>
Fig. 2 in Landscape Ecological Analysis Of Taurkalne Forest Tract Fragmentation
Fig. 2. Road network length (km) by category.
Combining local ecological knowledge with camera traps to assess the link between African mammal life history traits and their occurrence in anthropogenic landscapes
<p>Understanding what influences species and trait composition is critical for predicting changes in communities driven by landscape transformation. </p> <p>We explored how life history traits are associated with the persistence of mammal species in human-dominated habitats within the Garden Route Biosphere Reserve, South Africa. We combined data from a camera trap and a local ecological knowledge-based survey in an integrated occupancy model to analyze species occurrence along a gradient of anthropogenic landscape transformation. </p> <p>Results confirmed that mammal occurrence in human-modified habitats was related to specific life history traits. Species with more specialist diets, as well as larger body mass species were more likely to stay in protected areas. Species with slow reproductive strategies occupied more natural areas. </p> <p>Our study also showed that combining different monitoring methods enabled us to increase spatial coverage and mammal sighting numbers. This approach fostered research participation by various stakeholders, an important step for co-designing wildlife-friendly anthropogenic spaces. </p> <p><strong>Synthesis and applications: </strong>Integrating data from a standard ecological protocol and structured participatory citizen knowledge allowed us to identify the species functional traits associated with mammal species occurrence in anthropogenic landscapes at a local scale. These results advocate for wisely combining methods, and will guide conservation orientated land-use planning towards the protection of natural habitats in the Garden Route Biosphere Reserve. This methodological approach will enable managers and conservationists to use data obtain from diverse protocols. This should catalyze the involvement of citizens in biodiversity monitoring and conservation.</p>
Dominance by a single species structures multiple ecological functions in urban landscapes
<p>Dataset used in the analysis of the manuscript "Dominance by a single species structures multiple ecological functions in urban landscapes"</p>
Data from: Ecological requirements drive the variable responses of wheat pests and natural enemies to the landscape context
<p>1. Semi-natural habitats (SNH) are considered essential for pest suppressive landscapes, but their influence on crop pests and natural enemies can be highly variable. Instead of SNH per se, the availability of resources, such as pollen and nectar, may be more relevant for supporting pest control.</p> <p>2. Here, we assessed the spatio-temporal variation of multiple insect pests (cereal leaf beetles and aphids) and natural enemies (predators and aphid parasitoids) in wheat fields and their responses to landscape context and flower availability. We combined detailed information on pollen use by natural enemies with the specific distribution of pollen-providing plants across a gradient of landscape composition and configuration.</p> <p>3. The abundance of wheat pests was tightly linked to wheat development stage. Syrphids colonised the fields early in the season, while the abundance of other enemies increased later in the season. The responses of pests to landscape structure were variable and, while some pests had low abundances in landscapes with high edge density and SNH cover, <em>Sitobion avenae</em> abundance was positively associated with SNH cover. Lacewings, syrphids and cereal leaf beetles were abundant in landscapes with diverse and abundant flower resources, whereas the abundance of parasitoids and Nabis sp. was driven by aphid abundance. We detected no significant indirect effects of landscape on pests via natural enemies.</p> <p>4. Synthesis and applications. Our findings highlight the need for conservation biological control to go beyond "one size fits all" and consider the specific ecology of the involved organisms. Landscapes with high edge density and flowering woody plants may support natural enemies, in particular syrphids, which colonised the fields early in the season. Incentives for pest-suppressive landscapes should focus on tailored strategies that disfavour pests and simultaneously enhance natural enemies according to their ecological requirements.</p>
The ecological memory of fish assemblages in agroecosystems with different history of landscape changes
<p>Here, we presented the data (local, past and response) and R code (models_Zeni et al.) we used to investigate the relationship between past land use changes and instream habitat (explanatory variables) and fish biodiversity patterns (response variables) in streams from different regions in Brazil. </p>
Detecting ecological traps in human-altered landscapes: A case study of the thick-billed longspur nesting in croplands
<p>Conversion of the North American prairies to cropland remains a prominent threat to grassland bird populations. Yet, a few species nest in these vastly modified systems. The thick-billed longspur (<em>Rhynchophanes mccownii</em>) is an obligate grassland bird whose populations have declined 4% annually during the past 50 years. Thick-billed longspurs historically nested in recently disturbed or sparsely vegetated patches within native mixed-grass prairie, but observations of longspurs in spring cereal and pulse crop fields during the breeding season in northeastern Montana, USA suggest such fields also provide cues for habitat selection. Maladaptive selection for poor-quality habitat may contribute to ongoing declines in longspur populations, but information on thick-billed longspur breeding ecology in crop fields is lacking. We hypothesized that these crop fields may function as ecological traps; specifically, we expected that crop fields may provide cues for territory selection, but frequent human disturbance and increased exposure to weather and predators would have negative consequences for reproduction. To address this hypothesis, we compared measures of habitat selection (settlement patterns and trends in abundance) and productivity (nest density, nest survival, and number of young fledged) between crop fields and native grassland sites during 2020–21. Across both years, settlement patterns were similar between site types and occupancy ranged from 0.52 ± 0.17SE to 0.99 ± 0.01 on April 7 and 30, respectively. Early season abundance differed by year, and changes in abundance during the breeding season appeared to be associated with precipitation-driven vegetation conditions rather than habitat type. While an index of nest density was lower in crop than native sites, the number of young fledged per successful nest (2.9 ± 0.18SE) and nest survival (0.24 ± 0.03 SE; n=222 nests) were similar for crop and native sites. Collectively, the data did not support our ecological trap hypothesis: longspurs did not exhibit a clear preference for crop sites and reproductive output was not significantly reduced. Our results indicate that croplands may provide alternative breeding habitat within a human-dominated landscape.</p>
Rain, recreation, and risk: Human activity and ecological disturbance create seasonal risk landscapes for the prey of an ambush predator
<p>Predation risk and prey responses exhibit fluctuations in space and time. Seasonal ecological disturbances can alter landscape structure and permeability to influence predator activity and efficacy, creating predictable patterns of risk for prey (seasonal risk landscapes). This may create corresponding seasonal shifts in antipredator behavior, mediated by species ecology and trade-offs between risk and resources. Yet, how human recreation interacts with seasonal risk landscapes and antipredator behavior remains understudied.</p> <p><strong>Goals</strong> – In South Florida, we investigated the impact of a seasonal ecological disturbance, specifically flooding, which is inversely related to human activity, on interactions between Florida panthers (<em>Puma concolor coryi</em>) and white-tailed deer (<em>Odocoileus</em> <em>virginianus</em>). We hypothesized that human activity and ecological disturbances would interact with panther-deer ecology, resulting in the emergence of two distinct seasonal landscapes of predation risk and the corresponding antipredator response. We conducted camera trap surveys across southwestern Florida to collect detection data on humans, panthers, and deer. We analyzed the influence of human site use and flooding on deer and panther detection probability, co-occurrence, and diel activity during the flooded and dry seasons. Flooding led to decreased panther detections and increased deer detections, resulting in reduced deer-panther co-occurrence during the flooded season. Panthers exhibited increased nocturnality and reduced diel activity overlap with deer in areas with higher human activity. Supporting our hypothesis, panthers' avoidance of human recreation and flooding created distinct risk schedules for deer, driving their antipredator behavior. Deer utilized flooded areas to spatially offset predation risk during the flooded season while increasing diurnal activity in response to human recreation during the dry season.</p> <p><strong>Significance to the field </strong>– We highlight the importance of understanding how competing risks and ecological disturbances influence predator and prey behavior, leading to the generation of seasonal risk landscapes and antipredator responses. We emphasize the role of cyclical ecological disturbances in shaping dynamic predator-prey interactions. Furthermore, we highlight how human recreation may function as a 'temporal human shield,' altering seasonal risk landscapes and antipredator responses to reduce encounter rates between predators and prey. </p>
The data used for the paper "Adapting a multiscale approach to assess the compositional diversity of landscapes" (Landscape Ecology)
<p>The data consists of a single SimpleFeatures (sf) object with 267,813 rows, i.e. hexagons covering Hungary, and 89 variables. The following variables are contained by the data (Table 1.).</p> <table> <caption>Table 1. Main attributes of the variables. For explanation of the vegetation type codes implied in the table by "XX", see the Supplementary Material S2 of Konrád et al. 2023.</caption> <thead> <tr> <th scope="col">Variable</th> <th scope="col">Description</th> </tr> </thead> <tbody> <tr> <td>id</td> <td>unique id of hexagons</td> </tr> <tr> <td>Bakony</td> <td>logical mask for subsetting the landscape Bakony</td> </tr> <tr> <td>Baranya</td> <td>logical mask for subsetting the landscape Baranya Hills</td> </tr> <tr> <td>ExternalSomogy</td> <td>logical mask for subsetting the landscape External Somogy</td> </tr> <tr> <td>HunGreatPlain</td> <td>logical mask for subsetting the landscape Hungarian Great Plain</td> </tr> <tr> <td>KorosMarosInterfluve</td> <td>logical mask for subsetting the landscape Körös-Maros Interfluve</td> </tr> <tr> <td>Mezofold</td> <td>logical mask for subsetting the landscape Mezőföld & Velence Hills</td> </tr> <tr> <td>NorthernHunMountains</td> <td>logical mask for subsetting the landscape Northern Hungarian Mountains</td> </tr> <tr> <td>Orseg</td> <td>logical mask for subsetting the landscape Őrség</td> </tr> <tr> <td>SouthernBukk</td> <td>logical mask for subsetting the landscape Southern Bükk</td> </tr> <tr> <td>binarized_potential_XX</td> <td>binarized potential vegetation data of the XX vegetation type</td> </tr> <tr> <td>binarized_actual_XX</td> <td> <p>binarized potential vegetation data of the XX vegetation type</p> </td> </tr> </tbody> </table> <p> </p> <p><strong>References</strong><br> Konrád KD, Bede-Fazekas Á, Bartha S, Somodi I (2023) Adapting a multiscale approach to assess the compositional diversity of landscapes. <em>Landscape Ecology.</em></p> <p> </p>
Data for: Social-ecological predictors of spotted hyena navigation through a shared landscape
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Combining local ecological knowledge with camera traps to assess the link between African mammal life history traits and their occurrence in anthropogenic landscapes
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Ecological drivers of garden dormouse (Eliomys quercinus) occupancy in a human modified landscape in Germany
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Detecting ecological traps in human-altered landscapes: A case study of the thick-billed longspur nesting in croplands
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Data from: Ecological requirements drive the variable responses of wheat pests and natural enemies to the landscape context
Open the record for dataset details and reuse information.
Ecological drivers of avian diversity in a subtropical landscape: effects of habitat diversity, primary productivity and anthropogenic disturbance
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.