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Abstract: Background: Contemporary and projected shifts in global fire regimes highlight the importance of understanding how fire affects ecosystem function and biodiversity across taxa and geographies. Pyrodiversity, or heterogeneity in fire history, is often an important driver of biodiversity, though it has been largely overlooked until relatively recently. In this paper, we synthesise previous research to develop a theoretical framework on pyrodiversity–biodiversity relationships and propose future research and conservation management directions. Theoretical Framework: Pyrodiversity may affect biodiversity by diversifying available ecological niches, stabilising community networks and/or supporting diverse species pools available for post‐fire colonisation. Further, pyrodiversity's effects on biodiversity vary across different spatial, temporal and organismal scales depending on the mobility and other life history traits of the organisms in question and may be mediated by regional eco‐evolutionary factors such as historical fire regimes. Developing a generalisable understanding of pyrodiversity effects on biodiversity has been challenging, in part because pyrodiversity can be quantified in various ways. Applying the Pyrodiversity Concept: Exclusion of Indigenous fire stewardship, fire suppression, increased unplanned ignitions and climate change have led to dramatic shifts in fire regimes globally. Such shifts include departures from historic levels of pyrodiversity and add to existing challenges to biodiversity conservation in fire‐prone landscapes. Managers navigating these challenges can be aided by targeted research into observed contemporary pyrodiversity–biodiversity relationships as well as knowledge of historical reference conditions informed by both Indigenous and local ecological knowledge and western science. Future Research Directions: Several promising avenues exist for the advancement of pyrodiversity science to further both theoretical and practical goals. These lines of investigation include but are not limited to (1) testing the increasing variety of pyrodiversity metrics and analytical approaches; (2) assessing the spatial and temporal scale‐dependence of pyrodiversity's influence; (3) reconstructing historical pyrodiversity patterns and developing methods for predicting and/or promoting future pyrodiversity; and (4) expanding the focus of pyrodiversity science beyond biodiversity to better understand its influence on ecosystem function and processes more broadly.

Malaria control has been one of the defining goals in global health. Recently, strategies that aim to control the insect-borne disease by altering mosquito biology have gained interest. One such strategy currently in development is to engineer mosquitoes equipped with so-called gene drives: elements that increase the likelihood of a specific set of genes to be passed on to the next generation. The strategy encapsulates hopes of technological solutions in global health, as well as expectations for the applications of synthetic biology. Hence, gene drive research operates with the potential of genetically modified mosquitoes: to survive in the wild, to reproduce, and to perform the work expected of them in some future timeline. I examine gene drive research with the concept of potentiality and how establishing it has guided gene drive research. Knowledge and uncertainties about mosquitoes and mosquito ecologies emerged through working with the mosquito as a research animal in the laboratory, as population data, and as a regulatable biotechnology. Mathematical modelling made it possible to establish the potential to move from the lab to the wild. In modelling, the mosquito as a research object could be made to work as part of future projections that assembled different kinds of data. As gene drive research progresses, I suggest that the researchers are also modelling how biotechnology handles uncertainty that is related to the ways producing genetic modification in the lab and producing knowledge about their possible environmental effects and efficacy translates into landscapes and mosquito ecologies in the wild. [ABSTRACT FROM AUTHOR]

Nest sites are often considered to limit wild honey bee, Apis mellifera, colonies in Europe where wild colony densities are low (mean 0.26/km2). Nest site availability can be challenging to quantify directly, especially in urban areas and farmland where colonies nest in different substrates.Here we assess nest site availability indirectly across large areas (78.5 km2) of mixed habitat (67% farmland, 25% urban and 8% woodland) by decoding 3310 waggle dances produced by scouts on swarms. During summers of 2021 and 2022, 14 artificial swarms were set up in two study areas in East Sussex, England.Swarms advertised three to nine nest locations (mean of 5.5) at distances of 0.1–11.2 km (median 1.2 km) all within 0.4–15.2 daylight hours after dancing commenced (median 2.7). We estimated the total number of nest locations, including those not advertised, by quantifying the overlap in locations advertised by two swarms (a form of mark–recapture), which gave a mean density of approximately three nest sites per km2.The probability of swarms advertising nest sites per km2, calculated using simulations of dance variation, was an average of 42% higher in urban areas (0.018/km2), 78% higher in woodland (0.023/km2) and 12% lower in farmland (0.011/km2) than random expectation. After controlling for distance, swarms were still more likely than expected to advertise nest sites in woodland but only in one study area.Our results indicate that nest sites do not limit wild colonies in the study areas given that our conservative estimate of nest site density (3/km2) exceeds the density of wild colonies on nearby landed estates (2/km2) and other locations in Europe (0.26/km2). [ABSTRACT FROM AUTHOR]

Quantifying landscape fragmentation is crucial for understanding its impact on biodiversity. Within landscape ecology, there is an ongoing effort to create metrics that systematically characterize landscape patterns and predict their effects on various species. In this study, we utilized Fourier transforms to measure landscape fragmentation in urban and heterogeneous landscapes over periods of 24 and 12 years, respectively. Analyzing Landsat images from 1986, 1999, and 2010, we focused on the first principal component (PC1) to evaluate changes in fragmentation over time. Our analysis revealed a significant increase in fragmentation in urban areas from 1986 to 2010, with a particularly noticeable rise between 1999 and 2010. Specifically, the average Fourier spectrum decreased slightly from 16.0 to 15.9 throughout the study period, indicating increased fragmentation at both urban and landscape levels. The sensitivity analysis further showed that removing 6,000 cells from the original image caused the mean Fourier spectrum to drop from 16.0 to 15.5, demonstrating the method's effectiveness in detecting subtle land cover changes. Our findings demonstrated that Fourier analysis effectively detects subtle landscape changes, particularly in larger study areas and over longer time intervals. However, it lacks detailed information on specific types or quantities of altered land cover. To address this limitation, integrating Fourier analysis with land cover classification datasets could enhance understanding of landscape dynamics and support more informed conservation and management decisions. [ABSTRACT FROM AUTHOR]

In urban and suburban areas, wildlife and people are often in close quarters, leading to human-wildlife interactions (HWI). Understanding how wildlife interacts with humans and the built environment is critical as urbanization contributes to habitat change and fragmentation globally. The environmental drivers that influence HWIs are largely unknown in some systems, however, especially across multiple spatial scales. Using location and species data from a business that relocates snakes across the Phoenix metropolitan area (Arizona, USA), we found the most frequently removed were venomous (family Viperidae, e.g., rattlesnakes). Nonvenomous snakes were also removed (family Colubridae, e.g., gophersnakes). Using these records, we investigated taxa-specific habitat relationships at two spatial scales. The neighborhood scale focused on front yard measures of cover and vegetation classes, and the landscape scale focused on remote-sensed variables related to vegetation indices and degree of urbanization. Both analyses compared areas where snakes were removed to random locations in the city to evaluate used and available locations of snakes. At the neighborhood scale, snake removals (n = 59) occurred in yards with abundant vegetation and debris cover opportunities compared to random locations. At the landscape scale, snake removal locations (n = 764) had taxa-specific differences, with nonvenomous snakes removed from areas of higher urbanization than venomous snakes, a pattern was likely related to differences in life history and behavior. Environmental variables associated with HWI can vary across different spatial scales. Understanding these environmental characteristics associated with snake removals from residential can focus management activities to reduce potential human-snake conflict. [ABSTRACT FROM AUTHOR]

ABSTRACT Pest regulation may be favoured in crop fields adjacent to semi‐natural vegetation such as fragments of the Atlantic Forest in Southeastern Brazil. Therefore, the objective of this study was to analyse the dynamics of mortality factors for eggs and larvae of Diatraea saccharalis (Lepidoptera: Crambidae) in sugarcane adjacent to two types of forest fragments (Plateau and Gallery) at two distances from these fragments during two growing seasons. In each area (seven sugarcane plots), two 50 m long transects were established, parallel and spaced at 5 and 100 m from the field edge, and cohorts of the insect at each stage of development were monitored. The collected data were used to construct an ecological life table and determine the main mortality factors. Natural mortality factors that could not be characterised were grouped as unknown. In both seasons and stages of development observed, there was no difference in mortality between the two types of forest fragments (Plateau and Gallery) or between the two distances from the forest. For the egg stage, the mortality factors were classified as inviable due to infertility, predation, parasitism, desiccation and dislodgement. In both seasons, there was a significant difference in the natural mortality factors of D. saccharalis, with predation distinct from the others. Ants (Hymenoptera: Formicidae) and green lacewings (Neuroptera: Chrysopidae) were the most frequent predatory agents and occurred at both distances and types of forest fragments. For the larval stage, the mortality factors were classified as predation, parasitism, drowning and unknown, with the unknown group differing from the others. Unknown factors might have included predation, larval movement towards other plants and displacement caused by wind after hatching. Overall, predation is a key mortality component of D. saccharalis suppression. Therefore, agricultural practices focused on the conservation of natural enemies such as predators may provide more sustainable management. [ABSTRACT FROM AUTHOR]

Species extinction rates have accelerated despite the global growth of the protected area estate, and maintaining or restoring ecological connectivity across landscapes is a major challenge in conservation. To address shortfalls in statutory protected areas, the designation of private protected areas (PPA) has been encouraged. Here we assess the level of ecological connectivity in the National System of Protected Areas in Chile (SNASPE) and measure the contribution of PPAs to the connectivity of the system, using novel indicators derived from landscape ecology. In so doing, we demonstrate how countries could report progress towards achieving connectivity among protected areas, using three complementary indicators. Our results show that while SNASPE currently has a high level of ecological connectivity, it varies substantially from region to region, with more protected and connected land needed to enhance connectivity. When PPAs are considered alongside statutory protected areas, connectivity is improved slightly, but still falls well short of meaningful levels. We therefore conclude that substantial expansion of the formal protected area network in Chile needs to happen, guided by a scientific and systematic process that enables the strategic designation of new PAs that enhance the performance of the current PA system and achieves international conservation goals. Additionally, new approaches and frameworks to recognize and manage land outside protected areas for connectivity and other ecosystem services are required. [ABSTRACT FROM AUTHOR]

Eukaryotes are important components of primate gut communities. Despite their role in the diversity and structure of the gut ecosystem, microbiome research has focused on the prokaryotic component of the gut community. While gut bacteria are shaped by host phylogeny and diet, these factors are known to have negligible effects on eukaryotic diversity, which is expected to be modulated by the characteristics of the habitat. We assess the influence of landscape composition and configuration on the eukaryome of black and gold howler monkeys (Alouatta caraya). We collected fecal samples from 10 independent social groups inhabiting small forest fragments or orchards enriched with native tree species and applied an 18S rRNA gene fragment metabarcoding approach to describe their eukaryotic communities. We used generalized linear models to assess the power of landscape metrics in predicting the richness, diversity, evenness, and phylogenetic diversity of the eukaryome. Most communities were dominated by Ascomycota, and it is likely that many of the reads had an environmental origin. Forest cover affected eukaryome richness positively and patch density showed a positive relationship with the Simpson’s diversity and Pielou’s evenness indexes. Howler monkeys living in landscapes with lower habitat coverage had a lower eukaryotic alpha-diversity in the fecal microbiome. [ABSTRACT FROM AUTHOR]

In tropical wetlands, in addition to flooding, fire also contributes to the structure of biodiversity across environmental gradients. In fire‐prone ecosystems, flower‐rich fire refuges can be maintained by a seasonal patch‐burning mosaic. Here, we evaluate how a set of floral traits that influence and are related to the pollination systems of tree and non‐tree species varies in response to spatial patterns of fire frequency in a landscape with floodable and flood‐free areas. We classified the sampled species according to flower size, color, shape, symmetry, floral resource, type of pollination units, flowering duration, and anthesis time and compared them between floodable and flood‐free areas with high, moderate, or low fire frequency. We analyzed the functional richness in response to landscape metrics related to spatial patterns of fire frequency. The composition of floral traits of non‐tree species was stable, while tree species differed among fire frequency classes, especially in floodable areas. Many floral traits of tree species are ecological indicators, especially in floodable areas with high fire frequency. In contrast, among non‐tree species, only floral tissues as resources for pollinator were related to flood‐free areas with moderate/high fire frequency. The floral functional richness of the tree species positively linked with the modified Simpson diversity index, and for both trees and non‐trees, it negatively associated with the homogenization of the fire frequency (e.g., connectance based on probability that two adjacent sites belong to the same fire frequency class was negatively related to the functional richness of floral traits). These results demonstrate that homogenization of fire frequency in the landscape decreases the functional richness. Patches with different combinations of fire frequency and flood regime can support a shared set of floral traits besides those specifically related to a particular regime. The spatial heterogeneity of fire and flood patterns in wetlands needs to be preserved to support a higher diversity of pollination systems mediated by functional complementarity between the flowers of the tree and non‐tree species. [ABSTRACT FROM AUTHOR]

Pathogens and parasites are drivers of declines in bumble bees. Their levels can be influenced by numerous abiotic and biotic factors, thus managing disease in these bees requires understanding the relative impact of these factors on pathogen loads.We evaluated loads of black queen cell virus (BQCV) and deformed wing virus in bumble bees (Bombus impatiens) and honey bees (Apis mellifera), and loads of parasites Vairimorpha bombi and Crithidia bombi in B. impatiens, from sites varying in habitat type and quality across North Carolina, USA. Pathogen loads were assessed against metrics for land cover, floral quality, bee diversity and weather. Results were compared against similar data from Pennsylvania, USA, and other landscape studies on bumble bees in North America.Spatial variation in pathogen loads was lower in bumble bees in North Carolina than in Pennsylvania, which reduced the power to detect landscape effects. For example, Crithidia was fairly ubiquitous and Vairimorpha was not detected.Data from both states revealed that developed land and honey bees were most consistently positively correlated with viral loads, especially for BQCV, whereas forest and nesting habitat availability were often negatively correlated with loads. Multivariate models only supported a positive relationship between summer floral resources and BQCV loads in North Carolina bumble bees.Together with the broader literature, these data indicate that levels of developed land and honey bees are most associated with increased pathogen loads while floral availability and bee community composition show more context‐dependent effects. [ABSTRACT FROM AUTHOR]

Metapopulations often exist in a fragile balance between local extinctions and (re)colonisations, in which case emerging threats that alter species vital rates may drastically increase metapopulation extinction risk.We combined empirical data with metapopulation simulations to examine how demographic shifts associated with amphibian chytrid fungus (Batrachochytrium dendrobatidis, Bd) have altered metapopulation viability for threatened amphibians in Australia.Comparing the ages of museum specimens collected before Bd emerged in Australia with individuals from geographically matched remnant populations revealed significant truncation of age structures post‐Bd, with a halving of annual adult survival probabilities.Spatially realistic metapopulation modelling demonstrated that reduced adult survival led to major reductions in the parameter space over which persistence was possible for the focal species, with contractions to landscapes with higher landscape connectivity, lower environmental stochasticity and considerably higher recruitment rates.Metapopulation persistence post‐Bd required greater landscape connectivity than pre‐Bd. This arises from a landscape‐level analogue of compensatory recruitment at the population level, in which higher (re)colonisation rates can offset more frequent local extinctions, enabling persistence of amphibians susceptible to Bd.Interactions between recruitment rate, environmental stochasticity and landscape connectivity were also more important for metapopulation persistence post‐Bd. Higher recruitment was required to mitigate the impacts of environmental stochasticity, and higher landscape connectivity was required to mitigate the impacts of environmental stochasticity and poor recruitment. Increased reliance on these interdependencies shrunk the parameter space over which metapopulations could persist post‐Bd.Our study demonstrates that emerging threats that alter species vital rates can drastically reduce the capacity of certain environments to support metapopulations. For our focal species, reductions in adult survival rates due to Bd produced major reductions in the conditions under which persistence was possible, providing a mechanistic insight into the processes underpinning observed range and niche contractions of amphibians impacted by this pathogen.More broadly, our study illustrates how environmentally mediated host resilience can enable persistence following the emergence of novel pathogens. This pathway to persistence is worthy of greater attention on both conceptual and applied grounds. [ABSTRACT FROM AUTHOR]

The influence of fragmentation per se on biodiversity is hotly debated, with evidence of negative, neutral, or even positive effects after controlling for habitat amount. Principles from this debate are often used to inform biodiversity conservation in remnant habitat fragments but are rarely considered in a restoration context. Habitat restoration is essential to work alongside conservation and reverse biodiversity declines. Although restored habitats vary along a similar fragmentation gradient to remnant patches, the importance of different processes likely varies. Communities in remnant patches are largely determined by existing populations, while communities in restored patches are shaped by colonization from nearby populations. We illustrate how fragmentation per se can have variable outcomes for biodiversity depending on whether habitat is conserved or restored. The fragmentation debate, in its current form, has limited application for restoration ecology, and we emphasize the need for ecologists and conservationists to consider the directionality of the fragmentation process. [ABSTRACT FROM AUTHOR]

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How landscape composition and configuration impact the distribution of multi-vector and multi-host mosquito vector-borne disease systems, such as West Nile virus (WNV), remains challenging because of complex habitat and resource requirements by hosts and vectors that affect transmission opportunities. We examined correlations between landscape composition and configuration and 2018 WNV sentinel chicken seroconversion in Florida, USA across the state and within five National Oceanic Atmospheric Administration (NOAA) bioclimatic regions to understand strength and variation of landscape effects during an elevated transmission year. Although few landscape studies have examined WNV in Florida, we expected higher percentages of residential or medium-developed landscapes and more fragmented landscapes would be positively correlated with WNV seroconversion owing to the main mosquito vector habitats and avian host distributions. However, we expected to find variation in the importance of forest, wetland, and agriculture landscapes across bioclimatic regions in the state. WNV seroconversion rates were calculated using Florida 2018 Department of Health WNV sentinel chicken seroconversion data from 187 flocks maintained by mosquito control programs. Percent land cover and edge density metrics were calculated for multiple land cover classes and within multiple buffer distances from chicken coops using 2019 National Land Cover Data. We used binomial generalized linear mixed effects models to calculate the importance of landscape metrics to WNV seroconversion. We found no statewide predictors of seroconversion, but as expected, the importance of landscape varied across regions. In the north-central part of the state, we found higher seroconversion in less populated suburban areas while higher seroconversion in south-central Florida was correlated with fragmented forested areas within 0.5 km of coops and intact woody wetland areas within 2 km of coops. This work corroborates previous findings that consistent landscape predictors of WNV are difficult to identify across broader geographic areas and sets the stage for additional work that incorporates climate and landscapes interactions for a greater understanding of WNV ecology in this geographic region. [ABSTRACT FROM AUTHOR]

Habitat fragmentation per se ‐ independent of habitat amount ‐ often increases patch occupancy, possibly because patches are closer together in landscapes with higher fragmentation per se, which should increase dispersal success. Here, we ask whether this effect is influenced by the quality and/or heterogeneity of the landscape matrix, i.e. the non‐habitat portion of the landscape. Specifically, we expect the positive effect of fragmentation per seshould be accentuated when matrix quality is high, reducing dispersal mortality. In contrast, when matrix quality is low, high dispersal mortality should lead to fewer colonisations, and accumulation of extinctions across the smaller patches in a more‐fragmented landscape could lead to negative effects of fragmentation per se. Additionally, matrix heterogeneity could obscure fragmentation effects, as the link between habitat spatial distribution and between‐patch dispersal becomes less predictable. We test these ideas using Glanville fritillary butterfly Melitaea cinxia occupancy data for 4291 habitat patches in the Åland Islands, Finland. Habitat patches for the study species are discrete and well‐defined areas where at least one of the two host species occurs. Adult individuals disperse from habitat patches, spending time in the landscape matrix while searching for new habitat patches. Our predictions were mostly supported. Fragmentation effects were more strongly positive when matrix quality was high; however, we did not see the predicted negative effect of fragmentation per se in landscapes with low matrix quality. As predicted, fragmentation effects on patch occupancy were weaker in landscapes with a more heterogeneous matrix. Our findings may explain why fragmentation effects are often weak. They also suggest that the moderating effects of matrix quality and heterogeneity should be explicitly considered when interpreting effects of habitat fragmentation per se on species distributions. [ABSTRACT FROM AUTHOR]

Gardens can benefit pollinators living in surrounding farmland landscapes, but the reason for their value is not clear. Gardens are no different from many semi-natural farmland habitats in terms of the quantity of floral resources (pollen and nectar) they produce, but the timing of their resource supply is very different, which may explain their value. We show that gardens provide 15% of overall annual nectar in farmland landscapes in Southwest UK, but between 50% and 95% during early spring and late summer when farmland supplies are low. Gardens can therefore reduce seasonal nectar gaps experienced by farmland bumblebees. Consistent with this pattern, bumblebee activity increased in gardens relative to farmland during early spring and late summer. An agent-based model reinforces this point, showing that timing, not quantity, of garden nectar supply enhances bumblebee colony growth and survival in farmland. We show that over 90% of farmland in Great Britain is within 1 km of a garden and therefore positive actions by gardeners could have widespread spillover benefits for pollinators across the country. Given the widespread distribution of gardens around the world, we highlight their important interplay with surrounding landscapes for pollinator ecology and conservation. [ABSTRACT FROM AUTHOR]

Summary: Understanding the drivers of assemblages of arbuscular mycorrhizal fungi (AMF) is essential to leverage the benefits of AMF for plant growth and health. Arbuscular mycorrhizal fungi are heterogeneously distributed in space even at small scale. We review the role of plant distribution in driving AMF assemblages (the passenger hypothesis), using a transposition of the conceptual framework of landscape ecology. Because rooting systems correspond to habitat patches with limited carrying capacity that differ in quality due to host‐preference effects, we suggest considering plant communities as mosaics of AMF microhabitats. We review how predictions from landscape ecology apply to plant community effects on AMF, and the existing evidence that tests these predictions. Although many studies have been conducted on the effect of plant compositional heterogeneity on AMF assemblages, they mostly focused on the effect of plant richness, while only a few investigated the effect of configurational heterogeneity, plant connectivity or plant community temporal dynamics. We propose key predictions and future prospects to fill these gaps. Considering plant communities as landscapes extends the passenger hypothesis by including a spatially explicit dimension and its associated ecological processes and may help understand and manipulate AMF assemblages at small spatial scales. [ABSTRACT FROM AUTHOR]

Under the dual pressures of rapid urbanization and intensifying global climate change, China has proposed governance policies aimed at promoting ecological urban construction. Wetland landscapes play a key role in sustaining human and social well-being. As a significant city in the middle reaches of the Yangtze River, Wuhan's wetland resources play an irreplaceable role in maintaining the regional ecological balance and promoting sustainable economic and social development. However, urbanization poses a severe challenge to the ecological service functions of wetlands. Consequently, in this study, we analyzed the spatial–temporal evolution patterns of the sub-functional systems of carbon sequestration, biodiversity conservation, water yield, and water purification in five wetland types in Wuhan City from 2000 to 2020 by using the CASA model and InVEST model. Then, a wetland multi-functional assessment framework was constructed to quantify the comprehensive multi-function score. It is imperative to unravel the underlying mechanisms driving the changes in wetland functions and to explore the equilibrium point between wetland conservation and urban sustainable development. Our results show that the wetland area of Wuhan City decreased from 5077.33 km2 in 2000 to 4696.60 km2 in 2020, and the wetland multi-functions exhibited significant spatial heterogeneity from 2000 to 2020. Wetland carbon sequestration increased from 0.94 Tg in 2000 to 1.11 Tg in 2020. The wetland habitat quality declined from 0.13 in 2000 to 0.11 in 2020. The water production of the wetlands increased from 5.43 × 109 t in 2000 to 22.59 × 109 t in 2020. The wetland N loss decreased from 55,850.58 t in 2000 to 49,209.93 t in 2020. The highest multi-function score was in paddy fields, which increased from 0.41 ± 0.12 to 0.51 ± 0.12, followed by tidal flats, which increased from 0.39 ± 0.14 to 0.50 ± 0.16, and the lowest was rivers, which also increased from 0.33 ± 0.12 to 0.41 ± 0.14. The multi-function score was closely related to the wetland type and urban development direction over the past two decades, and it was negatively correlated with production and living density, providing new ideas for wetland ecological protection and construction in Wuhan City. [ABSTRACT FROM AUTHOR]

Protected areas are a primary instrument for biodiversity conservation, and area-based targets have become a hallmark of global efforts with the 2022 Kunming-Montreal Global Biological Framework recommending at least 30 percent of land and water be protected by 2030. In parallel, the United States has implemented “America the Beautiful,” a call for local, state, and regionally led efforts to conserve, connect, and restore 30 percent of U.S. lands and waters by 2030. Achieving these goals is complicated, however, by the multiple policy scales at which conservation decisions are made and governed and the limited guidance provided on how gains to protected and connected areas should be evaluated. We assess the connectedness of U.S. protected areas at multiple scales and find that less than 3 percent of the United States is protected and connected. Connectedness increases when the area under investigation is partitioned into smaller policy units (e.g., counties), a product of the modifiable areal unit problem. Similarly, connectedness values increase by an order of magnitude when assessed relative to the protected area network rather than considering all land area. Both findings support the need for standardized reporting frameworks and highlight the challenges in coordinating conservation goals across administrative units. [ABSTRACT FROM AUTHOR]

The lack of precise data on the environmental requirements of the conspicuous fungus with a northern distribution limit in Slovakia, Pogonoloma macrorhizum, initiated our study. Its identity was verified by sequencing of ITS and 28 S nrDNA regions. The analysis of trophic status by stable-isotope ratio of carbon and nitrogen suggested that the species is probably ectomycorrhizal. For the seventeen sampling sites, environmental data were obtained and information on landscape development and management were retrieved from historical maps and aerial orthophotographs. All these parameters were analysed by multivariate ordination methods. In Slovakia, P. macrorhizum is found in thermophilous to mesophilous stands on acidic soils with a pH ranging from 4.1 to 6.2. These habitats are dominated by Quercus cerris, with non-frequent tree taxa of Carpinus betulus and Quercus petraea agg. The key environmental drivers shaping the habitat of P. macrorhizum were identified as time since deforestation, with the presence of old Q. cerris individuals (former solitary trees of pastures) and soil characteristics. The fungus appears to be a species of transitional habitats historically affected by grazing. These transitions occur between thermophilic and mesophilic sites, including oak forest communities, dry steppic grasslands and forest edges, as well as spontaneously overgrown pastures and forests with a closed canopy. It is regrettable that the Q. cerris stands in Slovakia are under threat, particularly because of felling and the lack of grazing in forests. Furthermore, recent silvicultural practices have resulted in the replacement of oaks (Quercus spp.) by hornbeam (Carpinus betulus) and the formation of closed stands. [ABSTRACT FROM AUTHOR]

Landscape connectivity operates at a variety of scales, depending on the geography of the area in question and the focal species or ecological process under consideration.Most connectivity studies, however, are typically focused on a single scale, which in the case of resistance‐based connectivity modelling, is often the entire landscape or protected area (PA) network. This large, single‐scale focus may miss areas that are important for connectivity at smaller scales and that can be documented via observed animal movements without resorting to landscape‐wide statistical modelling and extrapolation approaches.Here, we characterize landscape connectivity at three different scales (local/micro, inter‐PA, and landscape‐wide/macro), using observed animal movements rather than conventional resistance surface models, to produce a connectivity conservation blueprint for African elephants (Loxodonta africana) in the Kavango‐Zambezi transfrontier conservation area (KAZA) in southern Africa. This analysis is based on an extensive, high‐resolution GPS tracking database comprising approximately 4 million GPS locations from nearly 300 tagged elephants and their associated herds.Our results show that high‐fidelity elephant use of micro‐corridors is typically—though not exclusively—related to directed movements towards water, often amidst heavy anthropogenic presence. Movement pathways that connected KAZA's core protected areas were longer and variable, with some channelled into narrow areas of use and others more dispersed across larger sub‐landscapes. At the largest scale, a network analysis incorporating all used landscape grid cells revealed several clusters of large‐scale movement corridors that connected distant parts of KAZA.Synthesis and applications: Our three scales of analyses reveal disparate geographical priorities for connectivity conservation that collectively could help ensure the functional connectivity of KAZA for its largest inhabitants. Each scale will require its own set of inter‐related conservation interventions, while further research into areas with sparse data collection, and other species of conservation concern, could reveal additional connectivity priorities at each scale. [ABSTRACT FROM AUTHOR]

Species distribution models (SDMs) are algorithms designed to infer the distribution of species using environmental and biotic variables and have become an important tool for ecologists and conservation biologists seeking to understand the implications of environmental change.Global datasets of environmental variables at resolutions of a few metres are increasingly available. SDMs fitted using such high‐resolution data allow researchers to investigate how local factors affect species occurrences at unprecedented fine spatial scales.As the spatial resolution of SDMs increases, we see a critical need to consider the characteristics of habitat types within or around raster pixels. In particular, we argue that the effects of habitat patches (EHPs, including habitat area, habitat configuration, and habitat diversity), measured focusing on patches or landscapes, have yet to be fully realized in SDMs.We provide guidelines to incorporate EHPs in SDMs. We explain why this development is important, describe approaches to properly conduct such analyses, and discuss pitfalls we foresee in testing EHPs.Synthesis. Ensuring that SDMs incorporating EHPs are properly designed will be key to increasing model predictive performance and to understanding which environmental factors influence the distribution of species at fine spatial scales. At a crucial time for nature conservation, we foresee that this will be a key step forward to understanding and protecting biodiversity. [ABSTRACT FROM AUTHOR]

There is strong evidence that landscape‐scale factors such as habitat diversity, composition and configuration are important drivers of declines in pollinators and pollination services. However, context and species‐specific responses make it challenging to draw general conclusions about the most important components of landscapes that support diverse and abundant pollinator communities. In this study, we took a functional‐traits approach to community assembly and tested the hypothesis that landscape properties act most strongly on pollinators indirectly, through their influence on flowering plant communities. Using plant and pollinator data from 96 landscapes in Britain, we tested the associations between plant and pollinator communities and local environmental factors, such as habitat cover and configuration, using path analysis based on Mantel and partial Mantel statistics. When all pollinators were considered, we found that the environmental factors had stronger links to the composition of flowering plant communities than to the composition of pollinator communities. Further, the flowering plant community was strongly linked to the pollinator community suggesting a mediating role between land use and pollinators. When separating the pollinator community into taxonomic groups, we found the same result for hoverflies, but wild bees were linked to both environmental factors and flowering plants. We further explored these links with structural equation models using the response‐effect trait framework as a guiding principle. We found strong evidence that land‐use composition and configuration influence the trait distribution and functional diversity of the pollinator community via plant community composition. These findings suggest that the indirect effect of land use on pollinators via flowering plants should be considered in informing the design of pollinator friendly landscapes and in future research of the effects of land use and management on wild pollinators. Read the free Plain Language Summary for this article on the Journal blog. [ABSTRACT FROM AUTHOR]

Tropical montane cloud forests are known for their unique biodiversity and their critical role in sustaining ecosystem services; however, approximately 50% of their original cover in Mexico was estimated to have been lost by 1998. The Mexican ecoregion that supports these ecosystems experienced one of the highest rates of deforestation between 2001 and 2021. Thus, a more recent evaluation of Mexico's cloud forests is required. There is limited data on the landscape structure of cloud forests in Mexico, despite the possible application of landscape factors in conservation planning. Here, we estimated the average total area, number of patches, effective mesh size, total edge, and the shape of mixed forests that was present in 2020 within polygons of cloud forests defined in 1999 by Mexico's National Commission for the Use and Knowledge of Biodiversity (CONABIO for its acronym in Spanish). We estimated land cover using data from the North American Land Change Monitoring System, which classifies cloud forests as mixed forests. We found that eight out of the 109 polygons have no mixed forests and that an average of 49% of the 1,768,914 ha of cloud forests polygons are now covered by mixed forests distributed across 13 states. Additionally, within the remaining 101 polygons that do contain this type of vegetation, mixed forest is distributed on average across 140 patches (range = 1–1,473); 80% of these forests have very low effective mesh size values; 90% of them have low total edge values (<2,000 km); and their shapes tend to be uniformly distributed. Furthermore, most of cloud forest polygons are located outside of federal protected areas. Overall, our results suggest that the remaining Mexican cloud forests are extremely vulnerable and fragmented and that their extent has steadily declined since 1999. To ensure the survival of Mexican cloud forests, it will be crucial to prioritize high-diversity areas, strengthen protection in critical zones, establish ecological corridors, encourage sustainable practices, and actively engage local communities. This study highlights the complex issues and inherent heterogeneity that characterize cloud forest ecosystems in Mexico and provides crucial insights for conservation. [ABSTRACT FROM AUTHOR]

Exploring the factors that drive changes in biodiversity is a hot and critically important topic in landscape ecology and biogeography. In this study, semi-structured citizen science data and bird distribution maps were employed to gather data from 2015 to 2020 for the calculation of bird species richness, the Shannon index, and the Pielou index in Anhui Province. These metrics were utilized to assess avian biodiversity and to elucidate the spatial patterns of biodiversity distribution across the region. In this research, a structural equation model (SEM) was utilized to investigate the relationships between the three dimensions of landscape spatial structure, urban development intensity, and environmental factors on bird biodiversity, and a conceptual framework was established to identify the key driving factors. The validity, reliability, and fit of the hypothesized model were substantiated through rigorous testing, demonstrating its reasonableness. The results indicate the following: (1) In landscape spatial structure, landscape composition and configuration play crucial roles in influencing bird diversity. An increased proportion of cultivated land negatively impacts bird diversity, whereas the expansion of forested areas promotes it. At the configuration level, the Largest Patch Index (LPI) significantly enhances bird diversity, serving as the primary driving force. Landscape spatial structure affects bird diversity both directly, through its composition, and indirectly, through its configuration. (2) The dimension of urban development intensity generally shows significant negative impacts; among these, GDP has the greatest comprehensive impact and shows a significant negative impact. (3) Topography has the greatest overall impact on bird diversity among the environmental factors, with a predominantly direct positive effect. (4) Overall, urban landscape spatial structure and urban development intensity are the main driving forces of bird diversity in Anhui Province, the greatest of which is the direct effect of the urban development intensity. These results provide an important scientific basis for landscape planning and ecological protection and provide inspiration for assessing the driving factors of animal and plant diversity in other regions. [ABSTRACT FROM AUTHOR]

Since the goals of carbon peaking and carbon neutrality have been established, forest carbon sinks have garnered significant attention. As a fundamental component of forest carbon sinks, the quality of forest land significantly influences the carbon sink capacity of forests. This study utilized Kaizhou District, Chongqing City, a typical forest area as a case study, and used the correction method, factor method, CASA model, landscape ecology indexes, and canonical correlation analysis to evaluate the level of forest land quality and reveal the spatial distribution pattern and influencing mechanisms of forest land quality. The results showed that: (i) The quality index of public welfare forest land was distributed in [37.89, 148.15], and each quality level was diversified in space. The quality index of commodity forest land was distributed in [40.00, 92.67], and some high-quality forest land appeared in the transition zone of each region; (ii) The forest land quality index and the amount of net primary productivity passed the correlation test. Primary net productivity was higher on forest land with a high-quality index and lower on forest area with a low-quality index; (iii) public welfare forest land was mainly positively affected by community structure, average annual precipitation, average annual temperature, and soil moisture. Commodity forest land was mainly positively affected by average annual temperature, soil moisture, and slope aspect. However, landform had a significant negative impact on the two types of forest land. Given these findings, we also proposed a series of measures aimed at promoting the sustainable development of research on regional forest land. [ABSTRACT FROM AUTHOR]

Low-intensity, diversified agricultural land use is needed to counteract the current decline in agrobiodiversity. Landscape ecology tools can support agrobiodiversity assessment efforts by investigating biodiversity-related ecological functions (pattern–process paradigm). In this study, we test a toolkit of landscape ecology analyses to compare different farm management models: polyculture agroforestry (POLY) vs. conventional monoculture crop management (CV). Farm-scale analyses are applied on temperate alluvial sites (Po Plain, Northern Italy), as part of a broader multi-scale analytical approach. We analyze the landscape ecological quality through landscape matrix composition, patch shape complexity, diversity, metastability, and connectivity indices. We assess farm differences through multivariate analyses and t-tests and test a farm classification tool, namely, a scoring system based on the relative contributions of POLY farms, considering their deviation from a local CV baseline. The results showed a separate ecological behavior of the two models. The POLY model showed better performance, with significant positive contributions to the forest and semi-natural component equipment and diversity; agricultural component diversity, metastability; total farm diversity, metastability, connectivity, and circuitry. A reference matrix for the ecological interpretation of the results is provided. Farm classification provides a quick synthesis of such contributions, facilitating farm comparisons. The methodology has a low cost and quickly provides information on ongoing ecological processes resulting from specific farm management practices; it is intended to complement field-scale assessments and could help to meet the need for a partially outcome-based assessment of good farm practice. [ABSTRACT FROM AUTHOR]

Anthropogenic activities over the last decade in Occidental Mindoro have shaped habitat loss and wildlife endangerment. In the twentieth century, farming by the local community was perceived to be the leading threat to the decline of native flora and fauna. Hence, this study investigated the impacts of anthropogenic practices in Occidental Mindoro in three time series (2019, 2010, and 2004) using Geographic Information System (GIS) and Remote Sensing Techniques by assessing the following geomatic matrices: (i) the Land Use and Land Cover Change (LULCC), (ii) Normalized Difference Built-up Index (NDBI), (iii) Normalized Difference Vegetation Index (NDVI), and (iv) Land Surface Temperature (LST). The results of the study showed the following: (i) An increase in LST and NDBI and a decline in NDVI from 2004 to 2019; (ii) An increase in LST is correlated with an increase in NDBI and a decrease in NDVI values; and the (iii) LULC maps affirmed the decline in forest cover and an increase in cropland, grassland, and barren land. These quantitative measures of landscape heterogeneities may imply that anthropogenic activities over the span of ca. 20 years have already affected the forest cover in Occidental Mindoro. This study recommends implementing more land and conservation management strategies and policies by essential stakeholders such as the Government and Non-government organizations. [ABSTRACT FROM AUTHOR]

Through artistic explorations of salt marshes in Scotland, England and the Netherlands, Linde Ex developed the concepts "Land-shapes" and "Sooth-scapes" as ways of observing and approaching these often considered underwhelming landscapes. "Land-shapes" and "Sooth-scapes" informed a series of artistic methods that engage with the challenges of these important but undervalued landscapes. The methods in their turn enriched the concepts. This process attempts to bring forth valuable and caring relations with actors and processes in these landscapes. [ABSTRACT FROM AUTHOR]

Global urbanisation reduces greenery and species richness (biodiversity) and limits opportunities for most children to gain experiences of nature. Disconnecting children from nature has implications for their play, health, well‐being, and comprehension of ecological systems, as well as their engagement with the environment as adults.In the competition for land for built infrastructure, the preservation of remaining greenery is essential to fulfill multiple functions. One way forward is to look for synergies between conservation of biodiversity and children's need for outdoor environments of high quality.In this paper, we synthesize the existing literature on how to understand the many interfaces between children and nature, suggesting perspectives and tools for the management and design of nature‐based play settings. We frame this transdisciplinary perspective using 'play biotopes', as a conceptual framework in which both children's play and species are taken into account.We exemplify how the play biotope framework can be put into practice as part of (1) an overall approach to landscapes made more useful to both children and other species, (2) affordances for play in nature such as branches from dead wood, and (3) a design process of a playground by giving input to nature‐based solutions.A conclusion is that play biotopes as a conceptual framework within nature‐based solutions can help increase play and biodiversity by promoting structures for climbing, making huts and biotopes otherwise overlooked in urban planning. Read the free Plain Language Summary for this article on the Journal blog. Read the free Plain Language Summary for this article on the Journal blog. [ABSTRACT FROM AUTHOR]

This study provides a new perspective on understanding the intricacies of water‐mediated connectivity in ecosystems, bridging landscape ecology and geomorphology through network science. We highlight dryland and river‐floodplain ecosystems as distinct examples of contrasting water‐controlled systems. We (1) discuss central considerations in developing structural connectivity and functional connectivity networks of water‐mediated connectivity; (2) quantify the emergent patterns in these networks; and (3) evaluate the capacity of network science tools for investigating connectivity characteristics. With a focus on strength (weights) and direction, connectivity is quantified using seven parameters at both network and node levels. We find that link density, betweenness centrality and page rank centrality are highly sensitive to directionality; global efficiency and degree centrality are particularly sensitive to weights; and relative node efficiency remains unaffected by weights and directions. Our study underscores how network science approaches can transform how we quantify and understand water‐mediated connectivity, especially in consideration of the role(s) of weights and directionality. This interdisciplinary perspective, linking ecology, hydrology and geomorphology, has implications for both theoretical insights and practical applications in environmental management and conservation efforts. [ABSTRACT FROM AUTHOR]

Abstract Global urbanisation reduces greenery and species richness (biodiversity) and limits opportunities for most children to gain experiences of nature. Disconnecting children from nature has implications for their play, health, well‐being, and comprehension of ecological systems, as well as their engagement with the environment as adults. In the competition for land for built infrastructure, the preservation of remaining greenery is essential to fulfill multiple functions. One way forward is to look for synergies between conservation of biodiversity and children's need for outdoor environments of high quality. In this paper, we synthesize the existing literature on how to understand the many interfaces between children and nature, suggesting perspectives and tools for the management and design of nature‐based play settings. We frame this transdisciplinary perspective using ‘play biotopes‘, as a conceptual framework in which both children's play and species are taken into account. We exemplify how the play biotope framework can be put into practice as part of (1) an overall approach to landscapes made more useful to both children and other species, (2) affordances for play in nature such as branches from dead wood, and (3) a design process of a playground by giving input to nature‐based solutions. A conclusion is that play biotopes as a conceptual framework within nature‐based solutions can help increase play and biodiversity by promoting structures for climbing, making huts and biotopes otherwise overlooked in urban planning. Read the free Plain Language Summary for this article on the Journal blog.

Urbanization is a major driver of species decline, which in turn disrupts the ecological interactions in which they are involved. Plant-pollinator networks are foundational to ecosystem productivity, and the disruption of these relationships has significant ecological consequences across multiple levels. Considering the potential of network studies to enhance our understanding of community ecology, we aim to explore how urbanization affects plant-bee interactions and the topological structure of its network. We focused on plant-bee interaction data from 10 sites along an urban gradient in southern Brazil. Data was collected by sampling bees on flowers with entomological nets over 10 months between 2017 and 2018. We analyzed two landscape variables associated with urbanization—vegetation cover and landscape diversity— and their influence on some species-level metrics (specialization – d’; connectivity among and within modules – c and z) and network metrics (specialization – H2’; modularity – Q; nestedness – NODF). We found no significant relationship between the urbanization variables, species metrics, and modularity. However, sites with lower landscape diversity exhibited more specialized and nested networks. This could be due to the increased availability of resources in more diverse landscapes, leading to greater plant species sharing among bee communities and enhanced interactions with network specialists. Our findings highlight the importance of considering landscape diversity and its role in shaping ecological networks, particularly in urban environments. [ABSTRACT FROM AUTHOR]

The green spaces in Wat Pah play an important role in forest conservation in Thailand. This study identified and analyzed the structures and patterns of landscape ecology in Wat Pah Nanachart, Ubon Ratchathani Province, to guide a conceptual framework for green space conservation in forest monasteries. Spatial analysis and modeling using geoinformatics technology were employed to recognize and characterize these landscapes. Information on the green space conservation and management of Wat Pah was also obtained using an in-depth interview and site observation. The results revealed that most of the green space in Wat Pah is forest, characterized by an ecological matrix and a dry evergreen forest. The forest structure can be divided into three canopies, dominated by the Dipterocarpaceae family, which has regenerated into upper and lower canopies. It is an edge matrix and ecological corridor connected to the internal and external green spaces of Wat Pah. It plays an important role in supporting cultural, religious, and aesthetic activities for ordained monks and Buddhists. The spatial landscape model can be divided into three main zones: Thoranisangha, Buddhawas, Sanghawas. Thoranisangha is an open space covered with traditional and artificially planted tree species. It is located in front of the temple and designed for public utilities in the context of managing and conserving the remaining trees. Buddhawas is a semi-open space mostly covered with traditional tree species. It represents Buddhism’s identity and uniqueness and is used for religious ceremonies and dissemination—listening to sermons, meditating, and praying. Meanwhile, Sanghawas is covered with natural forest and contains residences for monks that are designed to be in harmony with the forest ecosystem.

Abstract Background The spread of mosquito-transmitted diseases such as dengue is a major public health issue worldwide. The Aedes aegypti mosquito, a primary vector for dengue, thrives in urban environments and breeds mainly in artificial or natural water containers. While the relationship between urban landscapes and potential breeding sites remains poorly understood, such a knowledge could help mitigate the risks associated with these diseases. This study aimed to analyze the relationships between urban landscape characteristics and potential breeding site abundance and type in cities of French Guiana (South America), and to evaluate the potential of such variables to be used in predictive models. Methods We use Multifactorial Analysis to explore the relationship between urban landscape characteristics derived from very high resolution satellite imagery, and potential breeding sites recorded from in-situ surveys. We then applied Random Forest models with different sets of urban variables to predict the number of potential breeding sites where entomological data are not available. Results Landscape analyses applied to satellite images showed that urban types can be clearly identified using texture indices. The Multiple Factor Analysis helped identify variables related to the distribution of potential breeding sites, such as buildings class area, landscape shape index, building number, and the first component of texture indices. Models predicting the number of potential breeding sites using the entire dataset provided an R² of 0.90, possibly influenced by overfitting, but allowing the prediction over all the study sites. Predictions of potential breeding sites varied highly depending on their type, with better results on breeding sites types commonly found in urban landscapes, such as containers of less than 200 L, large volumes and barrels. The study also outlined the limitation offered by the entomological data, whose sampling was not specifically designed for this study. Model outputs could be used as input to a mosquito dynamics model when no accurate field data are available. Conclusion This study offers a first use of routinely collected data on potential breeding sites in a research study. It highlights the potential benefits of including satellite-based characterizations of the urban environment to improve vector control strategies.

The construction of the Sardar Sarovar Dam in the Narmada Valley in western India displaced more than 30,000 families, mostly from Indigenous communities. Many of those displaced were resettled in regions that had a starkly different ecological and social composition from the mountainous areas they were forced to leave. In this paper we draw on the anthropology of landscape, linguistic anthropology, and ethnophysiography to chart the transformation of referential landscape terminology in the indigenous Bhili language as a result of displacement and subsequent resettlement. We focus on semantic domains covering ecological features such as soil, rivers, and forests, as well as the use of land for functional purposes. In doing so, we demonstrate how bridging conceptual and perceptual ethnographic approaches to landscape provides a more holistic view of displacement that encompasses both the memories of the places left behind as well as the unfolding process of resettlement. [ABSTRACT FROM AUTHOR]

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The rapid development of rural settlements into commuter towns in the hinterland of large cities, coupled with intensive agriculture and climate change, may negatively affect the prosperity of these areas. The presented analysis focused on randomly selected rapidly growing settlements in the Prague metropolitan area, examining their development with a focus on the peripheral parts of such settlements. Settlement margins constitute a specific part of rural settlements as it typically contributes to the rural character by providing the gradual gradient between the settlement and the open landscape. The representation of water-absorbing and non-water-absorbing areas and their suitability for the development of taller vegetation along the margins of three randomly selected suburbanised settlements in the hinterland of Prague are analysed from the perspective of the possibility to maintain the traditional character of the settlement margins. Historical maps, aerial photographs, spatial planning documents, and data on current land use and landscape cover were used for the analysis of the settlements' development over the last approx. 200 years. In order to determine whether an area is water absorbing or not, a manual approach was used for historical maps and a machine learning process for present orthophoto maps. The automated machine learning classification process could be utilised, because the used orthophoto imagery includes a near-infrared portion of the spectrum (i.e. NIR imagery). We have observed the trend of decreasing plot size and of reduction in the water-absorbing surfaces suitable for planting taller vegetation, especially in the twenty-first century residential developments, which disrupts the traditional rural character of these settlements. The utilisation and stabilisation of the current vegetation in the historical areas, together with the creation of the vegetation belts along the margins of the newly developed areas, could improve the environmental quality of these settlements, promote ecosystem services, and increase biodiversity. [ABSTRACT FROM AUTHOR]

This study analyses the dynamics of green infrastructure (GI) in the cities of Bujumbura, Kinshasa, and Lubumbashi. A remote sensing approach, combined with landscape ecology metrics, characterized this analysis, which was based on three Landsat images acquired in 2000, 2013, and 2022 for each city. Spatial pattern indices reveal that GI was suppressed in Bujumbura and Kinshasa, in contrast to Lubumbashi, which exhibited fragmentation. Furthermore, the values of stability, aggregation, and fractal dimension metrics suggest that Bujumbura experienced rather intense dynamics and a reduction in the continuity of its GI, while Kinshasa showed weaker dynamics and tendencies towards patch aggregation during the study period. In contrast, Lubumbashi exhibited strong dynamics and aggregation of its GI within a context of significant anthropization. The evolution of the Normalized Difference Vegetation Index demonstrates a sawtooth pattern in the evolution of tall vegetation patches in Bujumbura, compared to a gradual decrease in Kinshasa and Lubumbashi. It is recommended that urban growth in these cities should be carefully planned to ensure the integration of sufficient GI. [ABSTRACT FROM AUTHOR]

Purpose: Habitat connectivity is integral to current biodiversity science and conservation strategies. Originally, the connectivity concept stressed the role of individual movements for landscape-scale processes. Connectivity determines whether populations can survive in sub-optimal patches (i.e., source-sink effects), complete life cycles relying on different habitat types (i.e., landscape complementation), and benefit from supplementary resources distributed over the landscape (i.e., landscape supplementation). Although the past decades have witnessed major improvements in habitat connectivity modeling, most approaches have yet to consider the multiplicity of habitat types that a species can benefit from. Without doing so, connectivity analyses potentially fail to meet one of their fundamental purposes: revealing how complex individual movements lead to landscape-scale ecological processes. Methods: To bridge this conceptual and methodological gap, we propose to include multiple habitat types in spatial graph models of habitat connectivity, where nodes traditionally represent a single habitat type. Multiple habitat graphs will improve how we model connectivity and related landscape ecological processes, and how they are impacted by land cover changes. Results: In three case studies, we use these graphs to model (i) source-sink effects, (ii) landscape supplementation, and (iii) complementation processes, in urban ecosystems, agricultural landscapes, and amphibian habitat networks, respectively. A new version of the Graphab open-source software implements the proposed approach. Conclusion: Multiple habitat graphs help address crucial conservation challenges (e.g., urban sprawl, biological control, climate change) by representing more accurately the dynamics of populations, communities, and their interactions. Our approach thereby extends the ecologist’s toolbox and aims at fostering the alignment between landscape ecology theory and practice. [ABSTRACT FROM AUTHOR]

Context: Conservation 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. Objectives: The 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. Methods: Our 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. Results: Among 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. Conclusions: The 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. [ABSTRACT FROM AUTHOR]

Tropical dry forests are the most threatened of all the major tropical forest types and less than 25% of TDF currently remain worldwide. They are located mostly in South America. Parameters such as habitat loss, fragmentation and loss of connectivity have been identified as the main threats to biodiversity. This research aims to discover the forests changes, the evolution of connectivity and fragmentation of the South American tropical dry forest between 1992 and 2020. Land uses layers provided by the Copernicus program were employed, and land uses change, fragmentation and structural connectivity were analyzed in GIS systems. To calculate the functional connectivity, the Graphab software was used. The results showed a loss of forest surface, where fragmentation increased and a loss of functional connectivity between 25% and 49% occurs depended on the parameter analysed. On the other hand, some areas were recovered. Brazil is the country that recovered the most forest area and Argentina, Paraguay and Bolivia those that lost the most area. Only 31% of the area was not altered between 1992 and 2020. Human activities such as deforestation, agriculture expansion, and urbanization have led these forests to become increasingly fragmented and worse connected impacting on both ecological and socio-economic aspects. Supranational measures must be taken to mitigate the negative impacts of fragmentation and the loss of connectivity. [ABSTRACT FROM AUTHOR]

Urban Form has become necessary for city planning management to see the sustainability of a city. A better understanding of different urban forms is imperative to facilitate the evolution of cities towards a more sustainable urban development trajectory in the future. The study aims to analyze the dynamics of urban form and the changes in land cover within the peri-urban area of Surakarta City, which is directly influenced by the development of Surakarta City. The analysis was conducted from a landscape ecology perspective, employing a spatial metrics approach at the landscape level to assess the dynamics of urban form using quantitative descriptive, including a spatial approach. A similar approach was adopted at the class level in order to examine the dynamics of land cover changes. The results of the image analysis were validated using the Kappa index, yielding an image accuracy level of 0.86 (86%). The results of this study show that the urban form in the peri-urban area of Surakarta City tends to move towards a compact urban form. Meanwhile, each land cover, vegetation, and water body become increasingly fragmented, with areas becoming narrower as time passes. Builtup and agricultural land are becoming more compact and concentrated along with development. In conclusion, the dynamics of urban form in the periurban area of Surakarta City tends to lead to compact urban form. [ABSTRACT FROM AUTHOR]

The amount of semi‐natural habitat surrounding farm fields is a common but inconsistent predictor of natural enemy populations and predation services. Standard land cover metrics may not accurately capture the actual availability of limiting resources for natural enemies and can miss important dynamics across space and time. Theory from animal movement and landscape ecology predicts that regions with more, spatio‐temporally continuous resources (i.e. food and shelter) should have larger predator populations and enhanced biological control.To test these predictions empirically, we designed a study measuring aphids, lady beetles and predation services in agricultural landscapes in Wisconsin, USA. In two study years, we sampled lady beetles and aphids in 336 crop fields (corn, soybean, alfalfa and small grains) and adjacent semi‐natural habitat patches (grasslands and woodlands) across 24 1.5 km buffer landscapes at four to seven time points each, and in 1 year, we assessed predation rates with sentinel egg cards. We used aphid counts to model habitat‐specific aphid phenologies, from which we calculated landscape indices of prey amount and continuity. These indices, along with semi‐natural habitat area, were used to predict lady beetle abundance.While there were strong differences in the abundance and timing of aphids by habitat, semi‐natural habitat amount was still a better predictor of lady beetle counts and sentinel egg predation than either aphid amount or continuity indices in these landscapes.Synthesis and applications. Our findings confirm the robust relationship between lady beetles and semi‐natural habitat in agricultural landscapes, and highlight the complexities of measuring fine‐scale resource heterogeneity in real landscapes. Retaining or adding woodland and grassland patches in agricultural landscapes is likely to support larger lady beetle populations and enhance predation in crop fields. Our results suggest that these habitats may be more important for shelter than prey continuity, though this mechanism warrants further investigation. Future work should continue to refine experimental methods for the successful integration of landscape ecology and animal behaviour to support conservation goals. [ABSTRACT FROM AUTHOR]

The spatial scale at which an environmental variable is summarized can have considerable impacts on ecological inference of species distribution and abundance. While several analytical approaches have emerged to determine biologically relevant spatial scales – the spatial scale that most strongly influences the ecological patterns observed – identifying key ecological drivers of scale of effect is still underway. Additionally, several predicted ecological drivers of scale of effect can vary across space and time, but little research on spatiotemporal patterns has occurred. Here, I assessed spatial and temporal variation in scales of effect across 32 North American bird species using 18 years of empirical data from the North American breeding bird survey. Scale estimation was then coupled with trait‐based analyses and hypotheses testing of underlying processes of spatial and temporal variation in scales of effect. All 32 species tested exhibited varied scales of effect across years (average annual scales of effect ranging from 0.2 to 4.97 km) and Bird Conservation Regions (BCR), with spatial variability being the most pronounced. Trait‐based analyses revealed a contrary relationship between hand‐wing index, body size, and scale of effect, though the strength of this relationship was contingent on migratory status. Temporal variation in scales of effect was best explained by changes in human development over time, indicating that avian space use can be explained by an increasing human footprint. Additionally, relative population size, consistent with theoretical predictions stemming from density‐dependent population dynamics, explained notable variation in spatial and temporal scales of effect. These findings contribute to the growing landscape ecology literature by providing empirical evidence for hypothesized drivers of scales of effect. By delineating species‐specific scales of effect and elucidating their ecological drivers, this study enhances our understanding of spatial and temporal scales in ecological processes, aiding conservation efforts in a rapidly changing world. [ABSTRACT FROM AUTHOR]

Considering the differences in natural resource endowments and human activity levels across regions, optimizing the ecological network became an effective approach to mitigating landscape fragmentation, enhancing connectivity, and ensuring the realization of sustainable development goals. By enhancing the connectivity between fragmented landscapes, the optimized ecological network helped maintain ecological processes and services that are essential for both environmental health and human well-being. Taking the Weihe River Basin as the study area, firstly, the ecosystem service supply and demand ratio (ESDR) for five ecosystem services in 2000, 2010 and 2020 were quantitatively measured by using the InVEST model and the ecological process equation method. Secondly, the theory of landscape ecology and complex network were introduced to construct and analyze the spatial and temporal patterns of the ecological network and its topological structure characteristics, mainly using morphological spatial pattern analysis (MSPA), connectivity analysis, circuit theory model, connectivity robustness formula and other methods. Then, the ecological network was optimized by ranking and screening the ecological pinch points and barriers in the ecological corridor based on the correlation between the ESDR and the topological comprehensive importance of the nodes at the ecological patches. Finally, the ecological network optimization effect was evaluated by connectivity robustness The results show that: 1) Compared with 2000, the average ESDR of food production, soil conservation, and water yield in 2020 increased by 70%, 7%, and 215%, respectively, while carbon storage and habitat quality decreased by 97% and 1%, respectively, which indicated that the supply increased or demand decreased most significantly for water yield services. 2) The number of ecological patches and the ratio of ecological patches to the total area were 125 and 36%, respectively. The ecological resistance exhibited the spatial characteristics of “low in the south and high in the north”, with resistance in the north showing a decreasing trend. There were approximately 280 ecological corridors with an average length of 15 km. The ecological quality of the basin improved, but the number of elements of the ecological network changed little. 3) The average values of structural connectivity robustness of the ecological network in the three years of research were 0.160, 0.168, and 0.150, indicating that the ecological network in 2010 had better stability. The topological comprehensive importance of ecological patches was positively correlated with the ESDR of each type of service, with the highest correlation being with the ESDR of carbon storage at 0.51. 4) Compared with 2020, the optimized ecological network had higher connectivity robustness in the face of deliberate attacks, with an average value of 0.194. Additionally, it showed a more significant “emergence” phenomenon within a certain range of attacking nodes, which means that the optimized network had stronger resilience and buffering capacity. By delivering detailed insights into the spatial and temporal patterns of the ecological network, the study facilitated more informed decision-making and strategic planning. The results of the study provided a scientific foundation for optimizing the ecological network structure and improving the anti-disturbance ability of the ecosystem in the WRB. They also provided effective support for the ecological spatial planning of the basin [ABSTRACT FROM AUTHOR]

Understanding past landscape changes is crucial to promote agroecological landscape transitions. This study analyzes past land cover changes (LCCs) alongside subsequent degradation and improvements in the study area. The input land cover (LC) data were taken from ESRI's ArcGIS Living Atlas of the World and then assessed for accuracy using ground truth data points randomly selected from high-resolution images on the Google Earth Engine. The LCC analyses were performed on QGIS 3.28.15 using the Semi-Automatic Classification Plugin (SCP) to generate LCC data. The degradation or improvement derived from the analyzed data was subsequently assessed using the UNCCD Good Practice Guidance to generate land cover degradation data. Using the Landscape Ecology Statistics (LecoS) plugin in QGIS, the input LC data were processed to provide landscape metrics. The data presented in this article show that the studied landscape is not static, even over a short-term time horizon (2017–2022). The transition from one LC class to another had an impact on the ecosystem and induced different states of degradation. For the three main LC classes (forest, crops, and rangeland) representing 98.9% of the total area in 2022, the landscape metrics, especially the number of patches, reflected a 105% increase in landscape fragmentation between 2017 and 2022. Dataset:  https://hdl.handle.net/20.500.11766.1/FK2/YUXPQY ; https://hdl.handle.net/20.500.11766.1/FK2/U4JHNU ; https://hdl.handle.net/20.500.11766.1/FK2/UN7DKQ. Dataset License: CC-BY-SA [ABSTRACT FROM AUTHOR]