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Understanding the habitat use and movement patterns of natural enemies in agricultural landscapes is essential for enhancing biological pest control. Since many natural enemies rely on floral resources, the distribution of these resources in combination with movement behaviour likely influence biological control in field crops. Nevertheless, few studies have assessed natural enemy movement at the landscape scale.Here we estimated minimal movement distances of the green lacewing Chrysoperla carnea based on consumed pollen and the spatial distribution of the respective plant species in 24 agricultural landscapes (500 m radius). Lacewings were sampled using sticky traps in the centre of each landscape, and the consumed pollen were identified. The location of the most important pollen‐providing plants was mapped in each landscape. Distances to potential sources of pollen consumed by 346 lacewings were used to derive minimal movement distances.Lacewings consumed mostly pollen from insect‐pollinated plants that were present within 500 m from the sampling location. The distance to the nearest source of consumed pollen exceeded 200 m in 31% of lacewing individuals, demonstrating the relevance of the landscape scale to understand their population dynamics.Distances were shorter to insect‐pollinated than to wind‐pollinated plants, and shorter early than late in the season. Mean and median distances to pollen sources were negatively associated to flower availability and edge density in the landscape, but this was not the case for minimal distances.Synthesis and applications. Our findings suggest that the spatial distribution of flowering wild plants can inform movement patterns of lacewings and other flower‐visiting insects in agricultural landscapes. In addition, the location of floral resources in the landscape is important for its capacity to sustain natural enemies. Given the strong reliance of lacewings on pollen from nearby insect pollinated woody plants, the promotion of native shrubs and trees, such as Prunus, Salix and Castanea, should be prioritized for natural enemy enhancement in agricultural landscapes. Doing this in the form of hedgerows or agroforestry systems would lead to only minimal reduction in production areas and provide additional benefits such as biodiversity conservation. [ABSTRACT FROM AUTHOR]

Summary Restoration of degraded former Cumberland Plain Woodland by planting of native trees and shrubs was undertaken by Greening Australia (NSW) on the Cumberland Plain, west of Sydney, Australia, from the mid‐1990s. Our study examined the success of this restoration in stands of two ages using species composition as the criterion. The starting point (pasture) and the target (reference woodland) were sampled to document the extent of progress of species composition from pasture through young (3–5 years) and old (9–11 years) restoration stands to reference woodland across three sites at two surveys. Comparisons showed restored stands of both ages differed significantly from pasture, and from each other, showing decreasing similarity between the restoration stands and pasture at all sites. Despite this, species composition in restored stands at all three sites was still significantly different from reference sites, showing that none had achieved the target reference state after 11 years. The trajectory of restored sites between the two surveys was not towards the reference state. Restoration resulted in the establishment of 20 (71%) of the planted species. Recruits from five planted species were found. A further 40 unplanted native ground layer species were found in restoration. Structurally, tree cover increased with time since restoration and was higher in the restored sites. Ground cover, which was very high in pasture was lower in some restored sites. The majority of the unplanted native species were resprouters, and their presence in the above‐ground vegetation was most likely by vegetative resprouting from the bud‐and‐tuber bank as ground cover was lower with the increase in tree cover and shade. Tree and shrub planting by itself has not yet progressed the restored areas to the species composition of reference sites. Additional tools will be needed to assist restoration, specifically the addition of re‐seeder native plants not able to persist through vegetative resprouting after restoration. Measures to control the burden of weeds present in the pasture seed bank are also required. [ABSTRACT FROM AUTHOR]

A theoretical framework for agricultural landscape pattern transitions in rural areas is proposed to fill the gap of current research with an empirical study in the Alabata farm settlement in Ogun State, Southwest Nigeria. Adopting the use of ArcGIS 10.8 and Surfer 27.3 the surface area and volume of the ground surface degraded and exposed to harsh weather conditions due to both natural and man-made anthropogenic activities causing runoffs and continuous soil erosion were calculated, which have affected agricultural production and sent some of the farmers packing, abandoning their farmlands. The farm settlement within the total sampled frame area of 1.50 km2 covers a total distance of 5.11 km. The sample frame was divided into 36 frames with similar ecological microclimates, topographical features, terrain, and soil types that fell into either of the two identified soil types: 1 and 2. The study involved the completion of a questionnaire onsite using three major criteria and only 23 farmers responded positively to the few questions as farmers who were either living on the farm or working as hired laborers on-site at the time of the visit. The transition characteristics of agricultural landscape patterns as represented in abandoned, degraded farmlands and orchards are analyzed from a local perspective. [ABSTRACT FROM AUTHOR]

The main object of the article is to show indicator functions of small water bodies (streams, ponds) for 4 rural areas in agricultural landscapes (Belgorod region). In the course of the study the groups of anthropogenic objects with their special impacts are identified and ranked. The correlation between concentrations of chemical forms of biogenic elements (N, P) demonstrates the contribution of typical problems of agricultural landscapes in ecological situation (rural areas) as well as contribution of adjacent urban areas. The results have revealed that some rural areas are particularly susceptible to nitrate or phosphate pollution, possible reasons have been indicated. The approved research methods will be helpful for further improvement of the indicator approach.

The development of renewable energy in agricultural landscapes has led to new debates about siting solar, wind, and other energy projects. Concerns for protecting food production and prime agricultural soils are often leading points of resistance to renewable energy projects. This resistance has grown, even as the urgency of transitioning away from fossil fuels has increased. The economic stakes are high, particularly for farmers seeking to diversify and stabilize farm income with renewables, but few studies have examined the likely magnitude of effects, either on food production or on farm incomes, implied by expanding renewables. How extensively are hosting communities likely to be impacted, and what do farmers stand to gain, or lose, in these debates? Focusing on a portion of New York State (NYS), with its aggressive solar development goals, we evaluated the effects of state solar targets on farmland and the economic potential for farmers leasing land. In comparison to current income from leading crops, land leasing alone would imply an increase of $42 million per year in local revenue, while affecting less than 12 percent of non-food producing, non-prime soils within the study area. The areal impacts are larger in our imaginations than in the real landscapes, and the debate has far-reaching implications for policy beyond farming areas. [ABSTRACT FROM AUTHOR]

The decline of segetal flora species across Europe, driven by intensified agricultural practices, is impacting other taxa and ecosystem functions. Result-based payments to farmers offer an effective solution to conserve these species, but the high cost of biodiversity monitoring remains a challenge. In this study, we conducted UAV flights with an RGB camera and used the deep learning model YOLO to detect these species in four winter barley fields under different management intensities in Germany. Field measurements of plant traits were used to evaluate their impact on species detectability. Additionally, we investigated the potential of spatial co-occurrence and canopy height heterogeneity to predict the presence of species difficult to detect by UAVs. We found that half of the species observed could be remotely detected, with a minimum ground sampling distance (GSD) of 1.22 mm required for accurate annotation. The same detection ratio was estimated for key indicator species not present in our study area based on trait information. Plant height was crucial for species detection, with accuracy ranging between 49–100 %. YOLO models effectively predicted species from images taken at 40 m, reducing the monitoring time to eight minutes per hectare. Co-occurrence with UAV-detectable species and canopy height heterogeneity proved promising for identifying areas where undetectable species are likely to occur, although further research is needed for landscape-level applications. Our study highlights the potential for large-scale, cost-effective monitoring of segetal flora species in agricultural landscapes, and provides valuable insights for developing robust ‘smart indicators’ for future biodiversity monitoring.

ABSTRACTIn agriculture, the geography of specific crops can successfully support productivity monitoring and farming practices management. Vineyards particularly have a key role in modeling and protecting Mediterranean landscapes, representing a fundamental asset in the economies of inner areas. In this paper, we mapped the 2017 coverage of vineyards of the Vulture-Melfese, a specialized agricultural district of Basilicata (Southern Italy) renowned for hosting the Aglianico grapevine variety. To achieve this objective, we combined information extracted from free-accessible multisource data by leveraging the traditional photo-interpretation technique. Then, we characterized the mapped vineyards based on simple geo-environmental variables (size, elevation, climate). This detailed inventory can help public bodies and land managers to shape more specific local agricultural policies to strengthen the profitability of the agricultural sector, preserve agrobiodiversity and face climate change effects.

This paper presents a collaborative work on the impact of the European conquest and colonization on the conception, construction, and management of agropastoral landscapes in Eastern Catamarca (Northwestern Argentina). This research forms part of a broader project that includes case studies from Iberian and Canarian conquest and colonization contexts from the late medieval period onward. Every colonial experiences studied so far were founded on the destruction or severe transformation of the existing society, beginning with the population itself, and the productive areas and practices. The understanding of the new colonial order requires knowledge of the previous conditions upon which further destruction and construction coexisted, as well as the adaptative tools managed both of the indigenous population and of the colonizers in the specific resulting societies. In spite of the local diversity of the new societies, some common trends can be identified in the previous peasant organizations elsewhere and in the aims and methods of the colonization. In this work, we present the main characteristics of the población process of eastern Catamarca, both in the central valley and in the mountain range then known as Sierra de Santiago or, more lately, de Guayamba (present day Ancasti), between the late 16th and 18th centuries. Using both textual and archaeological evidence in an articulated manner, we analyze how the new colonial landscapes and practices were constructed in these two areas, focusing mainly on the procedures of dispossession and the forms of capturing and consuming labor force. One of the main conclusions of the work is that, despite the initial and decisive importance of European-origin livestock in indigenous dispossession, especially in the Sierra de Santiago, the consolidation of the conquest demanded the establishment of settlers who were also farmers. We will present three cases of settlement related to agricultural development involving people initially arriving from afar: on one hand, displaced people resettled in an estancia, family groups formed from ingas who arrived with the Spaniards during the second half of the 16th century from Peru and settled in the Sierra de Santiago, and a community of African-origin slaves associated with the irrigation system of Santa Cruz, in the Catamarca Valley. Then people of regional, Andean and African origins participated in the consolidation of the new order in eastern Catamarca after being dispossessed and displaced from their places of origin. Finally, we propose some lines of future work, taking into account mainly the perspectives of generating knowledge about the colonization process from an archaeological perspective.

The expansion of agricultural landscapes is one of the main drivers of biodiversity loss around the world; the environmental gradients resulting from these landscape changes, however, allow an assessment of how biodiversity responds to environmental change. Functional diversity and mutualistic interactions between plants and animals represent an important aspect of biodiversity. In particular, the interactions between hummingbirds and plants stand out for their morphological specialization. Here, we evaluated how changes in landscape attributes affect the functional diversity and hummingbird-plant interaction networks in the coffee-growing region of the Colombian Andes. We described the functional diversity of hummingbirds and their interaction networks with plants in circular plots with a diameter of 50 m located in forests and coffee agroecosystems distributed along a landscape transformation gradient. We found that network specialization in forests is positively related to forest coverage of the landscape, while the relationship with landscape diversity and heterogeneity was weak. In contrast, we found no relationship between landscape variables and network specialization in coffee agroecosystems where the networks are less specialized and less modular compared to forests. A structural equation model (SEM) showed that hummingbird functional diversity had a significant relationship to landscape structure, while the specialization of hummingbird-plant networks was mainly affected by the amount of forest in the landscape. Although no significant direct relationship was found between hummingbird functional diversity and network specialization, SEMs show that, when considering a mediating role of functional diversity, the specialization R2 coefficient increased. Based on our results, we suggest that changes in the diversity and structure of ecological networks were a consequence of the impacts of human intervention on landscapes and natural habitats.

Abstract Smallholder farms support the livelihoods of 2.5 billion people and their decisions on how to manage their land has profound consequences for the environment and the food security of billions of people. However, farmers' values, norms and resulting management practices are usually not formed in isolation. Triangulating multiple analytical, modelling and simulation methods, we investigated if and how social influence exerted through peer‐to‐peer information exchange affect soil nutrition management among 2734 Indonesian smallholder cocoa farmers across 30 different villages. The results show that the relational structures of these village‐based social networks strongly relate to farmers' use of fertiliser. In villages with highly centralised networks (i.e. hub‐and‐spoke networks where one or very few farmers holds disproportionately central position in the village network), a large majority of farmers report the same fertiliser use, and that practice is typically to avoid using fertilisers. By contrast, in less centralised networks, fertiliser use varies widely. The observed community‐level distributions of fertiliser use can be most closely reproduced through simulations by complex contagion mechanisms in which social influence is only exerted by opinion leaders that are much more socially connected than others. However, even such leaders' abilities to influence others to change fertiliser use may be limited in practice. The combination of our quantitative and qualitative findings provides significant policy implications for development programs targeting smallholder farming communities. An important practical lesson is that common interventions which primarily engage socially central farmers may not be effective in stimulating desired transitions in social‐ecological systems. Read the free Plain Language Summary for this article on the Journal blog.

Honey bees are vital to human well-being and are under multiple stresses. We need to be able to assess the viability and productivity of honey bee colonies in different landscapes and under different management and climate-change scenarios. We have developed a prototype digital twin, HONEYBEE-pDT, based on the BEEHAVE model, which simulates foraging, population dynamics and Varroa mite infestation of a single honey bee colony. The main input data are land-cover maps and daily weather data. We have developed the pDT for simulating large areas and have tested it for the whole of Germany. We have also developed a web-based GUI that users can use to run the pDT for specific sites. Hive weight data from hundreds of hives will be used for calibration and validation. [ABSTRACT FROM AUTHOR]

Effective conservation schemes are needed to advance the dual objectives of biodiversity conservation and agronomic production in agricultural landscapes. Understanding how plant and arthropod taxa respond to both local habitat patch characteristics and landscape complexity is crucial for planning effective agri‐environment schemes. This study investigated the relative effects of local variables (plant and insect diversity ≤100 m from patch habitat center) and landscape variables (landscape composition and configuration metrics ≤5 km from patch habitat center) on the diversity of plants and arthropods within noncrop habitat patches (1) at different spatial extents ranging from 0.1 to 5 km, while (2) quantifying differential effects of local and landscape variables on particular components of diversity (i.e., species richness and abundance), and accounting for (3) particular components of landscape extent (0.1‐, 0.5‐, 1‐, 2‐, and 5‐km radii) and complexity (i.e., landscape composition and configuration). Landscape variables were significantly correlated with local plant and arthropod species richness and abundance at all spatial extents. Biodiversity responses to landscape variables were largely scale‐dependent, as pairwise comparisons were significantly different between all spatial extents except between 1‐ and 2‐km extents, and correlations were lowest at the 5‐km extent. Partial R2 values for predicting local biodiversity were highest when both local and landscape variables were included as predictors of species richness and abundance, increasing from 0.163 to 0.469 when landscape variables were included, underscoring the importance of considering both local and landscape effects on local diversity. Landscape configuration variables accounted for more variation in plant and arthropod species richness than composition variables. However, models performed best when composition and configuration were considered together rather than alone, suggesting that both components of landscape complexity should be considered for identifying and managing conservation areas in crop fields. Existing conservation schemes that incentivize farmers to create or conserve seminatural patch habitat within crop fields may be more effective when combined with landscape‐scale designs that enhance landscape complexity across the Northern Great Plains. Local conservation efforts should be coordinated with landscape‐level efforts to ultimately enhance biodiversity and desired ecosystem service outcomes across agricultural landscapes. [ABSTRACT FROM AUTHOR]

Copyright of European Journal of Wildlife Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Anthropogenic habitat modification can indirectly effect reproduction and survival in social species by changing the group structure and social interactions. We assessed the impact of habitat modification on the fitness and life history traits of a cooperative breeder, the Arabian babbler (Argya squamiceps). We collected spatial, reproductive and social data on 572 individuals belonging to 21 social groups over 6 years and combined it with remote sensing to characterize group territories in an arid landscape. In modified resource‐rich habitats, groups bred more and had greater productivity, but individuals lived shorter lives than in natural habitats. Habitat modification favoured a faster pace‐of‐life with lower dispersal and dominance acquisition ages, which might be driven by higher mortality providing opportunities for the dominant breeding positions. Thus, habitat modification might indirectly impact fitness through changes in social structures. This study shows that trade‐offs in novel anthropogenic opportunities might offset survival costs by increased productivity. [ABSTRACT FROM AUTHOR]

Despite increasing recognition of the importance of the multiple dimensions of biodiversity, including functional or genetic diversity as well as species diversity, most conservation studies on ecosystem service‐providing insects focus on simple diversity measures such as species richness and abundance. In contrast, relatively little is known about the genetic diversity and resilience of pollinators or natural enemies of crop pests to population fragmentation and local extinction. The genetic diversity and demographic dynamics of remnant populations of beneficial insects in agricultural areas can be a useful indicator proving additional insights into their conservation status, but this is rarely evaluated. Although gene flow between agricultural and seminatural areas is key to maintaining genetic diversity, its extent and directionality remain largely unexplored. Here, we apply a pan‐European sampling protocol to quantify genetic diversity and structure and assess gene flow between agricultural and nearby seminatural landscapes in populations of two key ecosystem service‐providing insect species, the lady beetle Coccinella septempunctata, an important predator of aphids and other crop pests, and the bee pollinator Andrena flavipes. We show that A. flavipes populations are genetically structured at the European level, whereas populations of C. septempunctata experience widespread gene flow across the continent and lack any defined genetic structure. In both species, we found that there is high genetic connectivity between populations established in croplands and nearby seminatural areas and, as a consequence, they harbor similar levels of genetic diversity. Interestingly, demographic models for some regions support asymmetric gene flow from seminatural areas to nearby agricultural landscapes. Collectively, our study demonstrates how seminatural areas can serve as genetic reservoirs of both pollinators and natural enemies for nearby agricultural landscapes, acting as sources for recurrent recolonization and, potentially, contributing to enhancing ecosystem service and crop production resilience in the longer term. [ABSTRACT FROM AUTHOR]

The possible co-variation of human occupation and vegetation from the Middle Neolithic to the beginning of the Iron Age (7.5–2.8 ka BP) in Central Sicily in the context of the central Mediterranean between Middle and Late Holocene are analysed in this paper to provide new insights on Sicilian prehistoric demography. The demographic and economic trends during these millennia were reconstructed using archaeological, Accelerator Mass Spectrometry 14C dates, palynological, archaeobotanical, and zooarchaeological data from the northern, central, and southern sectors of Central Sicily through a diachronic comparison with variation in Arboreal Pollen, Anthropogenic Pollen Indicators, Olea-Juglans-Castanea pollen, microcharcoals, and Sporormiella from four pollen cores from sites in different ecosystems. A very significant spread of farming activities was found at the end of the Neolithic, together with an apparent demographic gap during the Middle Copper Age, and the emergence of agricultural landscapes at the end of the Copper Age associated with a striking increase in population. A combination of cultural and climatic changes during the late phase of the Bronze Age resulted in a subsequent overall decrease in population. [ABSTRACT FROM AUTHOR]

Copyright of People & Nature is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Between 2014 and 2022, a comprehensive analysis was conducted to compare the spring diversity of avifauna, including bird occurrence, density, similarity, and differences between natural biotopes and agrarian landscapes in the Tashkent region. This study assessed changes in avifauna composition resulting from the conversion of natural biotopes into cultivated areas and evaluated the influence of anthropogenic factors on bird behavior. During the spring months of March, April, and May, approximately 205 bird species were recorded. Of these, 186 species were observed in natural biotopes, while 162 species were identified in agrarian landscapes. Notably, 143 species were common to both biotopes, whereas 43 species were exclusive to natural biotopes, and 19 species were found only in agrarian landscapes. The spring avifauna was classified into six categories based on their occurrence: Resident (51 species), Breeding-Migratory (75 species), Migratory-Wintering (34 species), Migratory (25 species), Breeding-Migratory-Wintering (11 species), and Wintering (9 species). The study included a comparative evaluation of bird diversity in natural biotopes and agrocenoses.

The benchmarking of farm environmental sustainability and the monitoring of progress towards more sustainable farming systems is made difficult by the need to aggregate multiple indicators at the relevant spatial scales. We present a novel framework for identifying alternative pathways to improve environmental sustainability in farming systems that addresses this challenge by analysing the co-variance of indicators within a landscape context. A set of sustainability indicators was analysed within the framework of a published set of Farm Management Archetypes (FMAs) that maps the distribution of farming systems in England based on combinations of environmental and management variables. The archetype approach acknowledges that sustainability indicators do not vary independently and that there are regional constraints to potential trajectories of change. Using Pareto Optimisation, we identified optimal combinations of sustainability indicators (“Pareto nodes”) for each FMA independently, and across all FMAs. The relative sustainability of the archetypes with respect to one another was compared based on the proportion of Pareto nodes in each FMA. Potential for improvement in sustainability was derived from distances to the nearest Pareto node (either within or across FMAs), incorporating the cost of transitioning to another archetype based on the similarity of its environmental variables. The indicators with the greatest potential to improve sustainability within archetypes (and, therefore, should have a greater emphasis in guiding management decisions) varied between FMAs. Relatively unsustainable FMAs were identified that also had limited potential to increase within archetype sustainability, indicating regions where more fundamental system changes may be required. The FMA representing the most intensive system of arable production, although relatively unsustainable when compared to all other archetypes, had the greatest internal potential for improvement without transitioning to a different farming system. In contrast, the intensive horticulture FMA had limited internal potential to improve sustainability. The FMAs with the greatest potential for system change as a viable pathway to improved sustainability were dairy, beef and sheep, and rough grazing, moving towards more mixed systems incorporating arable. Geographically, these transitions were concentrated in the west of England, introducing diversity into otherwise homogenous landscapes. Our method allows for an assessment of the potential to improve sustainability across spatial scales, is flexible relative to the choice of sustainability indicators, and—being data-driven—avoids the subjectivity of indicator weightings. The results allow decision makers to explore the opportunity space for beneficial change in a target landscape based on the indicators with most potential to improve sustainability.

A theoretical framework for agricultural landscape pattern transitions in rural areas is proposed to fill the gap of current research with an empirical study in the Alabata farm settlement in Ogun State, Southwest Nigeria. Adopting the use of ArcGIS 10.8 and Surfer 27.3 the surface area and volume of the ground surface degraded and exposed to harsh weather conditions due to both natural and man-made anthropogenic activities causing runoffs and continuous soil erosion were calculated, which have affected agricultural production and sent some of the farmers packing, abandoning their farmlands. The farm settlement within the total sampled frame area of 1.50 km2 covers a total distance of 5.11 km. The sample frame was divided into 36 frames with similar ecological microclimates, topographical features, terrain, and soil types that fell into either of the two identified soil types: 1 and 2. The study involved the completion of a questionnaire onsite using three major criteria and only 23 farmers responded positively to the few questions as farmers who were either living on the farm or working as hired laborers on-site at the time of the visit. The transition characteristics of agricultural landscape patterns as represented in abandoned, degraded farmlands and orchards are analyzed from a local perspective.

Biodiversity monitoring in agricultural landscapes is important for assessing the effects of both land use change and activities that influence farmland biodiversity. Despite a considerable increase in citizen science approaches to biodiversity monitoring in recent decades, their potential in farmland-specific contexts has not been systematically examined. This paper therefore provides a comprehensive review of existing citizen science approaches involving biodiversity monitoring on farmland. Using three complementary methods, we identify a range of programmes at least partially covering farmland. From these, we develop a typology of eight programme types, reflecting distinctions in types of data collected and nature of volunteer involvement, and highlight their respective strengths and limitations. While all eight types can make substantial contributions to farmland biodiversity monitoring, there is considerable scope for their further development—particularly through increased engagement of farmers, for whom receiving feedback on the effects of their own practices could help facilitate adaptive management. [ABSTRACT FROM AUTHOR]

Background and Research Objectives: Habitat matrices of intensive agricultural use are generally inhospitable to native bees in fragmented forests. However, in some tropical regions of the world, agricultural landscapes are dominated by traditional agroecosystems, which harbor high plant diversity and are subject to low-intensity management. These agroecosystems can therefore provide suitable habitats and important floral resources for the bee community. The objective of this study was to compare the taxonomic and functional diversity of bees in traditional agroecosystems and forest patches within an agricultural landscape of the Yucatan Peninsula. Methods : Sampling was conducted in two traditional agroecosystems (homegardens and a rainfed polyculture known as milpa) and forest patches as a control (N= 24 sites in total. Hereafter: habitats), using two complementary sampling techniques: pan traps and a sweep net. Taxonomic and functional diversity metrics were calculated and compared among habitats. Results : The three habitats were generally similar in terms of taxonomic and functional diversity. Differences were only detected among habitats in the inverse of Simpson's diversity index and number of functional groups (functional entities), with higher values in the agroecosystems than in the forest. Conclusion : Taxonomic and functional diversity was similar in the traditional agroecosystems and forest patches, suggesting that these agroecosystems can provide temporal adequate resources for most bee functional groups and that movement of bees is possible among these habitats. Conservation Implications: Maintenance of low-intensity management practices and high (agro)biodiversity found in traditional agroecosystems is crucial for the conservation of native bees. It is therefore important to incorporate these systems into management strategies at the landscape level. Since traditional agroecosystems and forests have different land tenure systems (government, private, and communal), conservation strategies at this level require the involvement of different sectors of society. [ABSTRACT FROM AUTHOR]

Hunting has been banned in Brazil by a Federal Law (No. 5197), except in a few cases where it has been regulated, for over 50 years now. Since then, the country suffered dramatic land use change, especially in its Central-South region. In this study we investigate the possible influence of land use change on hunters' socioeconomic profile (e.g., education, income) and motivation (e.g., leisure or subsistence) in the Central-South Brazil since the implementation of the ban policy. On a systematic literature review we found 18 papers about hunting activities and hunters' profile in this region, one third of which presented evidence of change in hunting activities or in hunters' profile somehow related to land use change since 1967. With this small number of articles, it was not possible to fully assess whether there was a change in hunting culture in the target region as a result of changes in land use. However, the found studies present consistent evidence of changes in hunting culture, especially in regard to a trade on the hunted species, hunting techniques and hunters' profile. Considering the relevance of hunting in agricultural landscapes for wildlife conservation, we hope the present results stimulate further studies on this field. [ABSTRACT FROM AUTHOR]

In agriculture, the geography of specific crops can successfully support productivity monitoring and farming practices management. Vineyards particularly have a key role in modeling and protecting Mediterranean landscapes, representing a fundamental asset in the economies of inner areas. In this paper, we mapped the 2017 coverage of vineyards of the Vulture-Melfese, a specialized agricultural district of Basilicata (Southern Italy) renowned for hosting the Aglianico grapevine variety. To achieve this objective, we combined information extracted from free-accessible multisource data by leveraging the traditional photo-interpretation technique. Then, we characterized the mapped vineyards based on simple geo-environmental variables (size, elevation, climate). This detailed inventory can help public bodies and land managers to shape more specific local agricultural policies to strengthen the profitability of the agricultural sector, preserve agrobiodiversity and face climate change effects. [ABSTRACT FROM AUTHOR]

Abstract Effective conservation schemes are needed to advance the dual objectives of biodiversity conservation and agronomic production in agricultural landscapes. Understanding how plant and arthropod taxa respond to both local habitat patch characteristics and landscape complexity is crucial for planning effective agri‐environment schemes. This study investigated the relative effects of local variables (plant and insect diversity ≤100 m from patch habitat center) and landscape variables (landscape composition and configuration metrics ≤5 km from patch habitat center) on the diversity of plants and arthropods within noncrop habitat patches (1) at different spatial extents ranging from 0.1 to 5 km, while (2) quantifying differential effects of local and landscape variables on particular components of diversity (i.e., species richness and abundance), and accounting for (3) particular components of landscape extent (0.1‐, 0.5‐, 1‐, 2‐, and 5‐km radii) and complexity (i.e., landscape composition and configuration). Landscape variables were significantly correlated with local plant and arthropod species richness and abundance at all spatial extents. Biodiversity responses to landscape variables were largely scale‐dependent, as pairwise comparisons were significantly different between all spatial extents except between 1‐ and 2‐km extents, and correlations were lowest at the 5‐km extent. Partial R2 values for predicting local biodiversity were highest when both local and landscape variables were included as predictors of species richness and abundance, increasing from 0.163 to 0.469 when landscape variables were included, underscoring the importance of considering both local and landscape effects on local diversity. Landscape configuration variables accounted for more variation in plant and arthropod species richness than composition variables. However, models performed best when composition and configuration were considered together rather than alone, suggesting that both components of landscape complexity should be considered for identifying and managing conservation areas in crop fields. Existing conservation schemes that incentivize farmers to create or conserve seminatural patch habitat within crop fields may be more effective when combined with landscape‐scale designs that enhance landscape complexity across the Northern Great Plains. Local conservation efforts should be coordinated with landscape‐level efforts to ultimately enhance biodiversity and desired ecosystem service outcomes across agricultural landscapes.

Abstract Despite increasing recognition of the importance of the multiple dimensions of biodiversity, including functional or genetic diversity as well as species diversity, most conservation studies on ecosystem service‐providing insects focus on simple diversity measures such as species richness and abundance. In contrast, relatively little is known about the genetic diversity and resilience of pollinators or natural enemies of crop pests to population fragmentation and local extinction. The genetic diversity and demographic dynamics of remnant populations of beneficial insects in agricultural areas can be a useful indicator proving additional insights into their conservation status, but this is rarely evaluated. Although gene flow between agricultural and seminatural areas is key to maintaining genetic diversity, its extent and directionality remain largely unexplored. Here, we apply a pan‐European sampling protocol to quantify genetic diversity and structure and assess gene flow between agricultural and nearby seminatural landscapes in populations of two key ecosystem service‐providing insect species, the lady beetle Coccinella septempunctata, an important predator of aphids and other crop pests, and the bee pollinator Andrena flavipes. We show that A. flavipes populations are genetically structured at the European level, whereas populations of C. septempunctata experience widespread gene flow across the continent and lack any defined genetic structure. In both species, we found that there is high genetic connectivity between populations established in croplands and nearby seminatural areas and, as a consequence, they harbor similar levels of genetic diversity. Interestingly, demographic models for some regions support asymmetric gene flow from seminatural areas to nearby agricultural landscapes. Collectively, our study demonstrates how seminatural areas can serve as genetic reservoirs of both pollinators and natural enemies for nearby agricultural landscapes, acting as sources for recurrent recolonization and, potentially, contributing to enhancing ecosystem service and crop production resilience in the longer term.

Intensive dairy farming, particularly enteric fermentation and manure management, is a major contributor to negative impacts on the local and global environment. A wide range of abatement measures has been proposed to reduce livestock-related emissions, yet the individual and combined effects of these innovations are often unknown. In this study, we performed an attributional life cycle assessment of three innovative measures modeled in two synthetic German dairy farm systems: Feeding of the seaweed Asparagopsis, installing an in-house cow toilet system, and performing on-field slurry acidification. These measures were modeled both individually and in combination to account for single and cumulative effects and compared to a reference scenario under current practices. Our results showed that feeding high levels of Asparagopsis and the combination of all three measures were most effective at reducing global warming potential (20–30 %), while only the latter mitigated eutrophication (6–9%) and acidification potential (14–17 %). The cow toilet required additional adapted manure management (separated storage and injection of urine) to effectively reduce eutrophication (8–10 %) and acidification potential (19–23 %) and to decrease global warming potential (3–4%) and abiotic depletion (4–5%). Slurry acidification slightly affected all considered environmental impact categories. All three measures involved trade-offs, either between LCA impact categories (global warming potential vs. abiotic depletion), the location of impacts (off- vs. on-farm), or the emission reduction in individual gases (ammonia vs. nitrous oxide). Measure combinations could compensate for the observed trade-offs. Our study highlights the potential of novel abatement measures but also shows the interdependencies of measures in different stages. This calls for a revisiting of current priorities in funding and legislation, which often focus on single objectives and measures (e.g. ammonia reduction) toward the preferential use of measures that are effective without driving trade-offs or improving resource efficiency.

Many field studies have reported that natural habitats in the agricultural landscape are associated with increased predator abundance and/or decreased crop pest load. However, recently published meta-analyses have found mixed results, with natural habitats being associated with increased pest loads as often as decreased loads. We investigate possible reasons for these conflicting results using a mechanistic model that simulates the dynamics of a generalist, omnivorous predatory bug and a plant bug pest in a landscape consisting of a 1 km2 annual field crop monoculture bisected by a 60 m wide natural habitat strip. The model simulates the movement of adult predators in the landscape via both trivial movement and long-distance dispersal, along with the movement of energy and egg reserves carried by those predators. We simulate multiple scenarios varying the presence or absence of floral resources and alternate prey in the natural habitat and crop, and the presence or absence of overwintering refuges for the predator and pest insect in the natural habitat. Food resources provided to the predator by the natural habitat did not enhance natural control in adjacent crops. When the natural habitat served as an overwintering refuge for predators, natural control of pests was enhanced if food resources were available in the crop for those predators. Availability of alternate prey was more important to the predator than floral resources. Early-season crop pest loads were always increased when pest insects overwintered in the natural habitat, however early-season availability of pest insects enhanced natural control across the whole-season. Overall, crop pest loads were highly variable across simulation scenarios, reproducing the conflicting results from field research.

Citizen science approaches are promising for raising awareness about the sensitivity of pollinators to environmental changes and simultaneously gathering data about their biology. Questions remain, however, about citizens’ ability to gather accurate data. Here, we present a citizen science monitoring approach of cavity-nesting wild bees and wasps in agricultural landscapes across Germany. By using nesting observation blocks (NOBs), which consist of individual wooden boards screwed together, volunteers record the colonisation and development of cavity-nesting Hymenoptera. To do this, they open the NOBs monthly and photograph each board individually. We tested if volunteers can be trained to accurately identify taxa from photographs by offering identification courses and an online quiz. For that purpose, twelve volunteers without taxonomic knowledge identified and counted larvae and cocoons of wild bees and wasps in 4,203 occupied cavities: 92.4% were correctly identified, 4.8% were incorrectly identified, and 2.8% were unidentifiable by experts. These results indicated that volunteers unfamiliar with these taxonomic groups successfully gained a high level of knowledge within one season supported by identification trainings. Using Wald chi-square tests, successful identification was mainly affected by the variability of the taxon. In view of increasing public demand for habitat restoration to halt and counteract declining pollinator populations, the proposed citizen science monitoring approach offers an opportunity for every interested citizen, regardless of their background knowledge, to engage with wild bees and wasps, and gain knowledge about their ecology.

This study examines soil properties in 30- and 60-year-old agricultural biocorridors and provides a comparative overview with neighbouring farmland. Both mixed and undisturbed soil samples were collected from six farmland/biocorridor study areas to assess a wide spectrum of physical, hydrophysical, chemical and biological soil properties. Biocorridor soils were characterised by higher water retention capacities, porosity, aeration and soil carbon stock, the latter increasing with depth. On the other hand, biocorridor bulk density under forest vegetation cover was lower, indicating progressive soil restoration. Slightly lower soil reactions in biocorridor soils disproved the hypothesis that nutrient-rich soils under biocorridors would form substrates with a high base cation content, leading to soil acidification. Biological activity, expressed through respiration coefficients, was generally low due to unfavourable physical conditions (clayey or silty-clay substrates), with the lowest levels in biocorridors. Nevertheless, biocorridor soil microbiota displayed more effective utilisation of organic matter as a carbon and nitrogen source, with lighter-textured soils tending to show more effective organic matter utilisation after excluding the influence of land use. Our results confirm biocorridors as an important landscape component, contributing to both soil stability and local revitalisation of soil environments and further emphasising their potential as climate-change mitigation tools in their role as carbon sinks.

With their large diversity of species, solitary bees are important pollinators of crops and native plant communities in agricultural landscapes. Stressors such as changing landscapes, climate and pesticide exposures may affect populations differently, dependent on each species' ecological traits.We developed a population model for solitary bees, SolBeePop, which can be applied to simulate a variety of species by using species‐specific traits, including the nesting strategies. Species' phenological traits are mechanistically combined with input time series capturing temporal and spatial variability in landscape compositions.Calibration and validation of the model with empirical study data demonstrate that the model can capture realistic dynamics in bee populations. In simulations conducted representing four species, Osmia bicornis, Megachile rotundata, Nomia melanderi and Eucera pruinosa, identical conditions and assumed nesting resource limitations resulted in different population‐level outcomes, indicating the importance of interactions between external factors and species‐specific traits including phenological, survival and reproductive traits.Synthesis and applications. The publicly available model is intended as a tool for the assessment of population‐level outcomes of stressors, for instance, the limitation of floral resources in agricultural landscapes, limitation of nesting habitat and the exposure to pesticides. Realistic landscape scenarios can be tested and available data for one species can be used to estimate outcomes in other solitary bee species, informing conservation plans and risk assessment approaches to support managed and natural populations in the field. [ABSTRACT FROM AUTHOR]

Context: Excess use of nitrogen fertilizer in agricultural landscapes is a threat to aquatic ecosystems, with effects manifesting at the scale of watersheds encompassing many farms. Collaborative processes involving farmers may be needed to achieve policies and decisions that are legitimate and sustainable in the long-term. Doing so depends on how arguments, positions and opinions are negotiated among farmers. We tested how framing theory may contribute to understanding such negotiations. Objectives: The study has two objectives: (1) to evaluate the outcome of a series of experiments using framing methodology for analyzing collective decision making processes in agricultural landscapes, and (2) to discuss the potentials of using framing theory in agricultural landscape and nitrogen planning. Methods: Collaborative scenario workshops with local stakeholders were organized in six case areas in Denmark. In each of the cases a participatory process was facilitated. The purpose of these meetings was to involve farmers in finding solutions to reduce nitrogen loads to aquatic recipients. Results: Ten different frames were identified. These explain a majority of the variation among opinions. Analysis show that frames were understood homogeneously by the informants, indicating that frames represent established models of thinking about the agro-environment. We provide a brief outline of the frames identified. Conclusions: We conclude that framing theory holds the potential to clarify key discussion about formation of opinions and standpoints in discourse and debates about land use and nitrogen management. It is discussed how to further progress along this line of inquiry. [ABSTRACT FROM AUTHOR]

Semi-natural habitats in agricultural areas play a crucial role in providing resources and shelters for insect predators. However, the impacts of local insecticide use on these beneficial effects remain poorly understood. This study examined the relationship between local insecticide intensity and the benefits of semi-natural habitats for ladybeetle populations in 38 commercial cotton fields. Ladybeetle abundance was monitored using yellow stick traps, and insecticide use was recorded. The proportion of different types of semi-natural habitats within a 2.0 km radius of each cotton field was also considered. The sampled cotton fields were classified for the frequency of their insecticide use (lower vs. higher) and the proportion of the main types of semi-natural habitats (smaller vs. larger area of grassland, woodlots, or fallow habitats) at 0.5, 1.0, 1.5, and 2.0 km. Generalized linear mixed-effects models revealed significant interactions between local insecticide intensity and coverage levels of each semi-natural habitat on ladybeetle abundance. For cotton fields with fewer grassland habitats, there were no differences in ladybeetle abundance between fields with different levels of insecticide use. In cotton fields with lower intensity of insecticide application, ladybeetle densities were markedly highest for fields within landscapes with higher level of grassland habitats. For cotton fields with higher insecticide use, there were no differences in ladybeetle abundance between fields with different levels of grassland habitats in the landscape at smaller scales (0.5, 1.0, and 1.5 km). However, at a larger scale (2 km), the numbers of ladybeetles in higher sprayed fields were lower in landscapes with a greater proportion of grassland habitats compared to landscapes with fewer grassland habitats. Our study demonstrates that the higher use of insecticides in crop fields can negates the positive effects of grassland habitats on ladybeetle density. This highlights the conflict that exists between farmers attempting to benefit from maintaining a high quality and quantity of semi-natural habitats at the landscape level versus farmer's practices that lead to the intense use of insecticides, which cause mortality to natural enemies. This study emphasizes the need for sustainable agricultural practices that balance pest control and the conservation of beneficial predator populations within agricultural landscapes. [ABSTRACT FROM AUTHOR]

Context: Rice, India's most widely grown crop, suffers substantial and increasing yield loss to insect pests. Insectivorous bats are known suppressors of insect pests, providing significant economic value to agricultural systems worldwide, yet their ecology in Indian agricultural landscapes is poorly understood. Objectives: We assess the influence of key biotic and abiotic factors on the activity of insectivorous bats over the growing season and within a night in a rice cultivation landscape. Methods: Passive acoustic recorders were used to track bat activity in a rice field in the Sonitpur district of Assam, India. We used generalised linear mixed models to analyse the effect of temperature, insect activity, and moonlight intensity on the activity of six bat sonotypes. We also used a multimodal analysis to describe the within-night activity patterns of these sonotypes. Results: Minimum nightly temperature and moonlight intensity had a positive and negative influence, respectively, on the activity of six bat sonotypes, while the activity of four bat sonotypes increased with insect activity. Within-night activity showed one of two patterns: three sonotypes displayed a dusk peak in activity, while the three other sonotypes were active through the night. Conclusion: The potential to maximise natural pest control in agricultural landscapes can only be realised through understanding the ecology of natural enemies in these landscapes. Our findings suggest that bats in rice fields are tracking insects over a season and within a night, pointing to a valuable ecosystem service in Indian agriculture that is yet to be quantified. [ABSTRACT FROM AUTHOR]

Although the Landsat 30 m Enhanced Vegetation Index (EVI) products are important input variables in land surface models, recurring Landsat 5/7 EVI time series over cloud-prone, fragmented, and mosaic agricultural landscapes is still a great challenge. In this study, we put forward a simple, but effective "Light and Temperature-Driven Growth model and Double Logistic function fusion algorithm" (LTDG_DL). The empirical basis of the LTDG_DL algorithm was traced from the de Wit crop growth simulation model and the commonly observed nonlinear correlation between the EVI and the Leaf Area Index (LAI). It assimilates the ground daily solar radiation and air temperature to generate seasonal profiles of the empirical LAI and EVI and conducts the within-season calibration of the empirical EVI by adjusting crop growth using cloud-free Landsat EVI observations. The initial date of seedling emergence (DOYini) and the accumulated Growing Degree Days for completion of the vegetative and Flowering stage (FGDDs) were variables to which the algorithm's accuracy was most sensitive. The variable-constrained optimization of the LTDG_DL algorithm was performed by loading the seedling emergence calendar of local prevailing crops and establishing an FGDD lookup table with an exhaustive sampling without replication method. Compared to temporal interpolation functions and Landsat–MODIS spatiotemporal fusion algorithms, the LTDG_DL algorithm had superior performance in the predictions of the EVI increment slope at the vegetative growth stage, the timing of the peak EVI, and the protection of key Landsat EVI observations over cloud-contaminated and complex landscape agricultural systems. Finally, the advantages and limitations of the LTDG_DL algorithm are discussed. [ABSTRACT FROM AUTHOR]

The development of renewable energy in agricultural landscapes has led to new debates about siting solar, wind, and other energy projects. Concerns for protecting food production and prime agricultural soils are often leading points of resistance to renewable energy projects. This resistance has grown, even as the urgency of transitioning away from fossil fuels has increased. The economic stakes are high, particularly for farmers seeking to diversify and stabilize farm income with renewables, but few studies have examined the likely magnitude of effects, either on food production or on farm incomes, implied by expanding renewables. How extensively are hosting communities likely to be impacted, and what do farmers stand to gain, or lose, in these debates? Focusing on a portion of New York State (NYS), with its aggressive solar development goals, we evaluated the effects of state solar targets on farmland and the economic potential for farmers leasing land. In comparison to current income from leading crops, land leasing alone would imply an increase of $42 million per year in local revenue, while affecting less than 12 percent of non-food producing, non-prime soils within the study area. The areal impacts are larger in our imaginations than in the real landscapes, and the debate has far-reaching implications for policy beyond farming areas.

Agroforestry has been recognized as an effective circa citum conservation strategy in Ethiopia. Despite progress in the recent past, there has been very little research characterizing the management strategies of farmers for agroforestry practices (AFP) and quantifying their contribution to biodiversity conservation. We (i) characterized the management strategies of farmers for agroforestry practices and (ii) assessed the floristic composition, diversity, and structure of woody species in agroforestry practices in Northwestern Ethiopia. We interviewed farm owners to gather information on the management strategies of agroforestry practices. We also collected biophysical data using quadrats established in 126 fields selected from homegardens (HG), coffee-based (CS), and Rhamnus prinoides (Locally Gesho)-based practices. A total of 83 trees and shrubs (76 % native and 24 % non-native) from 40 families and 47 genera recorded in the study area. The results indicate that AFPs represent diverse vertical and horizontal management strategies, and plant functions, which vary among AFPs and wealth status. The results suggest the potential of agroforestry practices for supporting livelihoods and biodiversity conservation. Farmers' management practices and strategies affect the species diversity of AFPs. The mean height (m), basal area (m2 ha−1), and diameter at breast height (cm) varied among AFPs. The average stem density ha−1 as well as species richness per farm significantly varied among AFPs and wealth status. Richness, Shannon, and Simpson's diversity varied among HGs in the study sites. In the Lay Armachiho district, species richness, Shannon, and Simpson's diversity significantly varied (P

Amidst urbanization and industrialization in China, abandoned farmland plays a crucial role in safeguarding plant diversity within agricultural landscapes. This study aimed to examine the patterns of seasonal variation in plant diversity within abandoned farmland habitats in the Huang–Huai Plain region. Nonparametric tests were employed to analyze plant species diversity and phylogenetic diversity across seasons. Redundancy analysis and linear regression were conducted to examine the associations between plant species composition, species diversity, phylogenetic diversity, and soil environmental factors. Our results showed that plant species diversity, richness, and phylogenetic diversity were highest in spring, followed by summer, and lowest in autumn. The phylogenetic structure of plant communities demonstrated a tendency to diverge in spring, become random in summer, and cluster in autumn. Soil available potassium and soil organic matter emerged as important factors influencing plant species composition. The content of soil organic matter and ammonium nitrogen level exhibited a significantly positive correlation with the species diversity and phylogenetic diversity of plants. This study underscores the significance of considering seasonal and temporal scales when investigating plant diversity and provides a theoretical basis for biodiversity conservation in agricultural landscapes. [ABSTRACT FROM AUTHOR]

In the twentieth century, more than 25,000 species of insects were known to exist on the territory of Ukraine. Insects have one of the main ecological functions, namely, their role in the cycle of matter, energy and information, which ensures ecological stability. Until recently, the role and importance of biodiversity in modern agriculture has not been studied. Currently, it is not known exactly how many species of insects live in agricultural landscapes, but according to leading experts, it is at least two-thirds of the total entomofauna of the country. Taking into account the environmental factors that pose a threat to biodiversity, it is extremely important to study the state and natural dynamics of the insect fauna, as well as to develop measures to preserve the species biodiversity of Ukrainian anrolandscapes. The taxonomic structure of tree and shrub plantations of shelterbelts consisting of 5 families (Fagaceae, Salicaceae, Tiliaceae, Rosaceae, Aceraceae) was determined. The state of biodiversity of the entomofauna of dendrobionts of the Northern Forest-Steppe of Ukraine during the growing seasons of 2021-2022 was assessed. It was found that the dendrobiont entomocomplex includes 320 species of insects belonging to 29 families of 8 orders. The largest number of families was recorded in the following orders: Coleoptera and Lepidoptera with 8 and 6 families, respectively. The orders Hemiptera and Diptera had 4 families each; other orders were less numerous. [ABSTRACT FROM AUTHOR]

Floral resources are crucial for wild pollinators. Identifying the spatio-temporal floral resource use of wild pollinators and effects of resource distribution on their development might help to promote them and their pollination services to crops in agricultural landscapes.We established populations of Osmia cornuta and Osmia bicornis, two solitary wild bees, in 24 agricultural landscapes with varying floral resource availability. Based on their pollen use, we mapped the landscape-scale distribution of the visited plants, estimated pooled specific floral resource availabilities and measured its effects on reproductive output.Woody semi-natural habitats such as hedgerows provided the majority of pollen sources for both Osmia species. Pollen use differed strongly between the two species. The offspring of both Osmia increased with availability of pooled specific pollen resources. In accordance with their preferred pollen types, offspring of O. cornuta increased with increasing cover of trees and shrubs of the Rosaceae family, and that of O. bicornis with increasing cover of Papaver rhoeas, Ranunculus acris and Quercus spp. as well as with the proximity to oilseed rape. In spite of their specific responses to pollen resources, the offspring of both species decreased with the distance to forest. The floral resource availability did not significantly affect the proportion of adult females and the weight of the offspring. As forest does not appear to be a main foraging habitat for both species, the benefit of forest proximity indicates an additional role of forest in addition to food availability.Specific flowering plants and forests should thus be conserved and enhanced to maintain and support O. cornuta, O. bicornis and likely other wild bee populations in agricultural landscapes. The combined information of land cover and detailed floral resource availability gives a deeper understanding into population processes in agricultural landscapes.

Climate warming and land-use change are reshuffling the distribution of wild organisms on a global scale. Some species may expand their ranges and colonize new regions, which may greatly affect ecological interactions among pre-existing species and colonizers. In the last decades, such processes have originated a unique condition of sympatry among three Eurasian small Falco species (common kestrel F. tinnunculus, lesser kestrel F. naumanni, red-footed falcon F. vespertinus) in the intensively cultivated farmland habitats of the Po Plain (Northern Italy). This provides an excellent opportunity to investigate patterns of spatial niche overlap during the initial phases of the establishment of sympatry. To investigate spatial niche overlap of the three falcon species, we relied on Environmental Niche Models (ENMs) based on widespread breeding occurrence data obtained through field surveys and citizen science programs (during the 2018–2020 period). ENMs were based on bioclimatic and land-use variables in an ensemble modelling framework. We estimated species-specific relative contributions of each climatic and land-use variable and its response curves effect. Eventually, we generated spatial correlation maps of the potential species’ distributions to derive spatially-explicit predictions of potential co-occurrence areas among the three species. Overall, eco-climatic determinants of the distribution of lesser kestrel and red-footed falcon were similar, resulting in a strong association with intensive arable lands and dry continental climate. Consistently, we found a high spatial correlation between the suitability maps of the two species, with highly suitable areas located in the Central-Eastern area of the Po Plain, corresponding to the core range of both species. Conversely, the common kestrel emerged as a habitat generalist and was widely distributed throughout the Po Plain. Our findings suggest that the recent sympatry between lesser kestrels and red-footed falcons in the Po Plain may promote ecological interactions and intra-guild competition.

In ever‐changing landscapes, there is increasing evidence that current plant assemblages are shaped by the temporal dynamics of landscape connectivity. So far, attempts to take the temporal dynamics of connectivity into account have only focused on the degree of connectivity at one or several moments in time, but neglected the cumulative effects of temporal changes in connectivity.We investigated the effects of the temporal dynamics of landscape connectivity (i.e. the degree of connectivity, the magnitude and the variability of its temporal changes) over the last seven decades on current woodland plant herbaceous assemblages. The assemblages were described using a taxonomic approach combined with a functional approach based on four traits linked to the colonisation capacity of plant species.The taxonomic diversity of current woodland assemblages did not respond to the degree of connectivity nor to the magnitude and the variability of temporal changes, but the mean and/or the diversity of trait values linked to their colonisation capacity did. Responses, mainly driven by generalist species, were modulated by the type of connectivity trend experienced by woodlands. In woodlands experiencing an upward connectivity trend, high magnitude of temporal changes in connectivity increased the abundance of species that invest mostly in sexual reproduction at the expense of vegetative reproduction whereas the degree of connectivity and the variability of its temporal changes had no effect. In woodlands experiencing a downward connectivity trend, the diversity of seed mass values was independent on the magnitude but decreased with the variability of temporal changes, and increased with the degree of connectivity.Synthesis. Overall, we show that, besides the degree of connectivity, the cumulative effects of decades of changes in connectivity shape woodland plant community assembly by selecting for particular trait values in plant species. This study opens new perspectives for integrating the temporal dynamics of landscape connectivity in the theoretical framework of plant assembly rules. It should also be considered in the development of management strategies to restore and maintain landscape connectivity. [ABSTRACT FROM AUTHOR]

The intensification of urban and agricultural use in the landscape is the major driver of biodiversity loss and the consequent decrease of ecosystem services provided by insects. Syrphids are important ecosystem service providers, including pest regulation, pollination, and matter decomposition.Understanding how the surrounding landscape to crops affects syrphids is essential to implementing strategies to reverse the negative effects of the agricultural landscape's simplification.This study describes the Syrphidae community in Portuguese vineyards and the response of the most abundant species, Sphaerophoria scripta Linnaeus, 1758, and Melanostoma mellinum Linnaeus, 1758, to the landscape composition and configuration within a gradient of distances (500, 1000, and 2000 m) from the sampled vineyards.The presence of seminatural habitats and other crops in the surrounding landscape increased both species at the largest distance, whereas the presence of artificial territory, olive orchards, and vineyards reduce M. mellinum at some of the buffers.Increasing seminatural habitats in the vineyards surrounding landscape (2000 m) and, potentially, introducing nature‐friendly practices in the principal crops around vineyards may favour syrphid abundance. [ABSTRACT FROM AUTHOR]

Solenopsis invicta and Solenopsis saevissima are the most common fire ants in Brazil. Environmental disturbances favour the colony dispersal of both species, particularly those with an anthropogenic origin. However, the frequencies of the species can vary according to the amount of anthropogenic disturbances. Crops near native vegetation fragments is a common landscape in the Brazilian Atlantic Forest. Here, we analyse if there is influence of native vegetation cover on the occurrence of these fire ants and their molecular diversity in crops. Our hypothesis is that these species are antagonistic in terms of occurrence and molecular diversity when compared in the same habitat. We selected crops near fragments with around 50% of native vegetation cover, a percentage informative enough to detect biological responses from insects belonging to a same order. Nests were collected and the species were identified using external morphology, and mtDNA COI sequences. We reject our hypothesis, which suggest that the species colonize the vegetation patches around crops in a similar way. Solenopsis invicta is not limited by vegetation cover, and has a high haplotype diversity when compared to S. saevissima, particularly when the vegetation cover is greater than 50%. Additionally, the vegetation cover seems to not have influence in the total number of haplotypes, but the species have haplotypes that are exclusive to each landscape. Our findings suggest that S. invicta is expanding to native vegetation areas that it has not occupied before, as S. saevissima was dominant there. [ABSTRACT FROM AUTHOR]