Patch Area Research Articles

Modeling the Flow and Geomorphic Heterogeneity Induced by Salt Marsh Vegetation Patches Based on Convolutional Neural Network UNet‐Flow

AbstractThe two‐way interactions between biological and physical processes, bio‐geomorphic feedback, play a vital role in landscape formation and evolution in salt marshes. Patchy vegetation represents a typical form of scale‐dependent feedback in salt marshes and is primarily responsible for the formation of efficient drainage networks. The intuitive manifestation of scale‐dependent feedback is the heterogeneity of flow and landscape. Process‐based modeling is an essential tool for exploring flow heterogeneity, but calculations for small spatial scales and over long time frames can be prohibitively costly. In this study, we proposed a deep learning model architecture, UNet‐Flow, based on convolutional neural networks (CNNs), which is used to build a surrogate model to simulate a flow field induced by salt marsh patchy vegetation. After optimizing and evaluating the model, we discovered that UNet‐Flow exhibits a speed improvement of over four orders of magnitude compared to single‐process simulations using the free surface flow model TELEMAC‐2D, with acceptable levels of error. Furthermore, we proposed an approach that combines the process‐based model SISYPHE with the deep learning method to model geomorphic heterogeneity. After numerous simulations of flow heterogeneity modeling using UNet‐Flow, we obtained a significant logarithmic relationship between scale‐dependent feedback strength and vegetation stem density, and an ascending‐descending trend in feedback strength was observed as the number or surface area of vegetation patches increased. Finally, we investigated the relationship between geomorphic heterogeneity and vegetation‐related variables. This study represents a noteworthy effort to study bio‐geomorphology using deep learning methods.

Apple pest and pathogen reduction in landscapes with large patch size and small area of orchards: a national-scale analysis

ContextThe composition and configuration of habitats in agricultural landscapes may determine crop damage resulting from pests or pathogens either by directly affecting their population dynamics or through indirect effects on their natural enemies.ObjectivesThe aim of this study was to assess the impact of landscape composition and configuration on the occurrence and damage caused by the codling moth and apple scab in apple orchards.MethodsUsing monitoring data at the French national scale, we examined how the proportion of landscape area grown with orchards, the mean patch area of orchards, the share of organic orchards and the proportion of woodlands and grasslands affected the occurrence and damage of these two pests from 2015 to 2019 in approximately sixty apple orchards each year.ResultsLandscapes with a higher proportion of orchards supported a higher occurrence of apple scab and earlier colonisation of codling moths. In addition, we found that codling moth damage decreased with increasing orchard patch area in the landscape. The proportion of seminatural habitats or organic farming in the landscape never significantly explained pest occurrence or damage.ConclusionsOur results clearly highlight the importance of considering the amount and spatial arrangement of the pests’ and pathogens’ host crops to understand their infestation levels. Our study calls for the territorial management of orchard distribution to limit pesticide use in apple orchards.

Spatial differentiation characteristics and influencing factors of the green view index in urban areas based on street view images: A case study of Futian District, Shenzhen, China

Urban green space provides a variety of benefits, and the green view index (GVI) is regarded as an effective indicator to evaluate the quality of green spaces from a human perspective. To investigate the drivers of the spatial differentiation in GVI in urban areas, the GVI was calculated based on Baidu street view images and semantic segmentation in Futian District, Shenzhen, and its spatial variation characteristics were explored. The dominant influencing factors of GVI were analyzed and screened by applying the Pearson correlation coefficient and optimal parameters-based geographical detector (OPGD). The results showed that the overall GVI was high in the study area, with an average value of approximately 28%. The scale effect of GVI was not obvious, but the spatial heterogeneity was distinct, and the hot spots and cold spots of GVI had an evident clustered distribution. The spatial variation of GVI was influenced by the vegetation cover, landscape pattern, built environment and socioeconomic factors. The normalized difference vegetation index (NDVI) was the most dominant factor affecting the spatial differentiation of GVI, followed by land cover, fractal dimension index, patch area, building density and proximity. Furthermore, the interaction of the influencing factors had a higher degree of explanation than a single factor. In highly urbanized areas, exploring the factors affecting the spatial differentiation of GVI can provide a basis for optimizing the layout and structure of green spaces, contributing to a better perception and quality of urban greening.

Impacts of garlic mustard (Alliaria petiolata, Brassicaceae) invasion on oribatid mites in urban forest soils vary with the size of the invaded patch

Investment in non-native species management should be informed by knowledge of impact, including on native biodiversity and ecosystem function. Oribatid soil mites may be useful to evaluate the impacts of plant invasions since they are bioindicators of disturbance and soil ecosystem health. Still, more research is needed to characterize their responses to plant invasion, especially at the species level. Our objective was to determine the effect of invasion of urban forest understories by an allelopathic weed (garlic mustard, Alliaria petiolata (Brassicaceae)) on belowground oribatid mite species and communities. At two sites in central Alberta (Canada), over two years, we examined adult oribatid (≥ 300 µm) community assemblages, species richness, evenness, diversity, and abundance in plots invaded with garlic mustard and uninvaded plots with native vegetation. Environmental covariates known to be associated with soil invertebrate communities were also evaluated. Results suggest that the spatial extent of the garlic mustard invasion (patch area) mediates its impact on oribatid mite communities. However, there were no community-level impacts when considering invasion as binary (garlic mustard vs. native vegetation). Garlic mustard patch area influenced oribatid community composition and was positively related to species richness and several abundance metrics. The oribatid species we observed benefiting from garlic mustard invasion have been previously associated with disturbed soils. The mechanisms driving these patterns need more research, but we hypothesize they may relate to patch-specific resident times. Site was also a dominant factor influencing oribatid mite communities, and impacts of year, litter depth, and canopy cover were also detected at the species and/or community level. These findings contribute to our understanding of the impact of an invasive weed on bioindicating soil mite communities and species and highlight the importance of considering invasion context, including spatial extent when evaluating the impacts of invasive species on belowground invertebrate communities.

Compact designs of circular microstrip antennas employing modified ground plane for wideband response

Wideband Compact designs of circular microstrip antennas by employing modified ground plane profile are proposed. Ground plane slots reduces patch fundamental mode frequency and Bow-tie shape of the same yields wider bandwidth on thinner substrate, thus achieving wider bandwidth with a smaller antenna volume. Optimum results are achieved using three rectangular slots cut Bow-tie shape ground plane. Against the conventional ground plane design, modified ground plane antenna yields 25% bandwidth increment, 0.03λg reduction in substrate thickness, 35.12% reduction in the resonance frequency, 66% reduction in the patch area with a broadside peak gain of 5.5 dBi. Reported wideband configurations do not provide bandwidth enhancement with a patch size reduction, and thus this is the novelty in the proposed work. Simulated results are have been experimentally verified that shows close agreement.

Cropland compensation in mountainous areas in China aggravates non-grain production: evidence from Fujian Province

The large-scale non-grain production (NGP) on cropland poses a potential threat to national food security, which has attracted the attention of the Chinese government. As a hotspot of NGP, mountainous cropland has undergone dramatic changes in its distribution pattern, influenced by China's cropland requisition-compensation balance system. Consequently, the NGP on compensated cropland (CCL) has become an unstable factor in grain production in mountainous areas. This paper analyzes the distribution pattern of CCL in Fujian Province, a typical mountainous area in China, identifies and compares the NGP characteristics between original cropland (OCL) and CCL, and explores its driving mechanism based on the physico-geographical environment, the socio-locational environment, and the resource endowment attributes, using the boosted regression trees (BRT) model. Results show that from 2009 to 2019, CCL tended to shift towards higher elevation and steeper terrain in the vertical zone and towards inland agricultural districts and counties in the western and northern horizontal zones. The NGP rate of CCL reached 16%, about twice that of OCL, and the proportion of instable cropland was also higher. Travel distance to adjacent cropland and slope were the main driving factors for NGP of CCL, followed by patch area, agricultural population density, and suitability of machine tillage. These factors exhibited differentiated marginal effects in their different threshold intervals and did not follow a simple one-way action mechanism. Furthermore, the analysis of pairwise interaction effects between variables identified the four most powerful combinations, which were slope-elevation, travel distance to adjacent cropland-elevation, slope-travel distance to adjacent residential area, and travel distance to adjacent cropland–aspect; within their specific value ranges, NGP is highly likely. Finally, we optimized the current evaluation system for reserved cropland resources based on these value ranges and selected Jianyang County, Dehua County, Zhao’an County, across the Fujian Province, as the area to adjust the reclamation strategy of future reserved cropland resources.

Metapopulation models using landscape connectivity can better reflect landscape heterogeneity

Forest fragmentation due to urban development has a significant impact on species persistence, necessitating a metapopulation theory approach considering landscape structure and patch-based impact assessments. In this study, we propose a method that applies landscape connectivity and incidence function models (IFM) to a species distribution model to represent the persistence of metapopulations by considering landscape structure (IFM-LCONS). The proposed approach was used to understand changes in leopard cat (Prionailurus bengalensis) occupancy patterns resulting from urban development considering landscape and patch structure. The impact on changes in occupancy owing to urban development was better reflected by patch area (R2 = 0.5031, R2 = 0.1642) and quality (R2 = 0.5142, R2 = 0.1042). Notably, the IFM-LCONS showed an increasing occupancy at a connectivity value of 500, whereas the IFM indicated the opposite. These results highlight that the here proposed approach allows for a more thorough consideration of the impact of urban development on landscape and structural aspects with respect to endangered and rare species, which can be used for conservation planning.

Greenspace pattern, meteorology and air pollutant in Taiwan: A multifaceted connection

Air pollution is a global environmental concern that poses a significant threat to human health. Given the impact of urbanization and climate change, green planning is being encouraged to improve air quality. The study aims to examine the intricate relationships between greenspace pattern and outdoor air around 73 in-situ stations over Taiwan during the dry (November to April) and wet (May to December) seasons from 2015 to 2020. To achieve this, Partial Least Squares – Structural Equation Modeling was utilized to analyze the interactions among seven dimensions: greenspace – GS, gaseous pollutant – GP, particle pollutant – PP, O3 – OZONE, air temperature – TEMP, relative humidity – RH, and wind speed – WS. The GS involves seven landscape metrics: edge density, total edge, effective mesh size, largest patch area, percentage of landscape, total core area, and patch cohesion index. The results indicate that the GS has a stronger effect on the GP, whereas its effect on the PP is weaker during the dry season compared to the wet season. While its effect on the TEMP is weaker, it shows a slightly stronger effect on the RH during the dry season. Moreover, the GS mediates the air pollutant dimensions during the two seasons, with the RH acting as a primary mediator. The meteorological dimensions primarily have a greater influence on the air pollutant dimensions during the dry season than the wet season. Consequently, the GS explains 11.3 % more and 18.4 % less of the variances in the RH and TEMP during the dry season, respectively. Moreover, the GS and meteorological dimensions yield a seasonal difference in explained variance, with the highest value observed for the OZONE (R2 = 24.2 %), followed by the PP (R2 = 9.7 %) and GP (R2 = 7.7 %). Notably, seven landscape metrics serve as potential indicators for green strategies in urban planning to enhance outdoor air quality.

PatchProt: hydrophobic patch prediction using protein foundation models.

Hydrophobic patches on protein surfaces play important functional roles in protein-protein and protein-ligand interactions. Large hydrophobic surfaces are also involved in the progression of aggregation diseases. Predicting exposed hydrophobic patches from a protein sequence has shown to be a difficult task. Fine-tuning foundation models allows for adapting a model to the specific nuances of a new task using a much smaller dataset. Additionally, multitask deep learning offers a promising solution for addressing data gaps, simultaneously outperforming single-task methods. In this study, we harnessed a recently released leading large language model Evolutionary Scale Models (ESM-2). Efficient fine-tuning of ESM-2 was achieved by leveraging a recently developed parameter-efficient fine-tuning method. This approach enabled comprehensive training of model layers without excessive parameters and without the need to include a computationally expensive multiple sequence analysis. We explored several related tasks, at local (residue) and global (protein) levels, to improve the representation of the model. As a result, our model, PatchProt, cannot only predict hydrophobic patch areas but also outperforms existing methods at predicting primary tasks, including secondary structure and surface accessibility predictions. Importantly, our analysis shows that including related local tasks can improve predictions on more difficult global tasks. This research sets a new standard for sequence-based protein property prediction and highlights the remarkable potential of fine-tuning foundation models enriching the model representation by training over related tasks. https://github.com/Deagogishvili/chapter-multi-task.

Looks or personality: what drives damselfly male mating success in the wild?

Understanding the connection between personality and fitness is an important topic in both behavioural and evolutionary ecology. Most of our current knowledge stems from lab-studies despite that studies in natural populations for most parts generate more ecologically relevant information on behavioural variation and mating success. Here, we quantified Calopteryx splendens male mating success across two behavioural axes: courtship and boldness-aggression, testing personality and plasticity of behavioural traits in a natural population situated in the central-core of the species distribution. We also measured wing patch area and body size as these traits are important in damselfly sexual selection. The only behavioural trait that positively affected mating success was consistency in courtship effort. Among morphological traits, smaller wing patch size was associated with greater male mating success, while thorax size was a better predictor of male mating success than either personality or plasticity in boldness and activity. Our results demonstrate the importance of behavioural consistency over plasticity in a wild insect population and support prior studies showing the importance of body size for mating success.

Use of Soft Penile Prosthesis in Grafting Surgery for Peyronie's Disease and Mild Erectile Dysfunction: Still an Option?

Plaque incision and grafting (PEG) is a primary surgical therapy for severe penile curvature in Peyronie's disease (PD); However, it can increase the risk of erectile dysfunction (ED), particularly in patients with pre-operative mild ED. Soft penile prosthesis (SPP) implantation is a viable treatment option in such cases. This study aims to compare the outcomes of PEG-only approach to PEG plus SPP implantation. Between 2010 and 2019, 32 patients with PD and mild ED (5-item version of the International Index of Erectile Function scores: 17-21) underwent PEG surgery. Two groups were defined based on the surgery type: PEG-only and PEG plus SPP. The long-term outcomes included correction of penile bending, erection quality, intercourse ability, penile length and sensitivity. The overall satisfaction and impact of surgery on sexual activity and quality of life were also assessed. Of the 32 patients, 13 (40.6%) underwent PEG-only surgery, whereas 19 (59.4%) underwent PEG plus SPP. No significant differences were noted between the groups regarding pre-operative characteristics (all p > 0.1) or intra- and post-operative complication rates (all p > 0.2). The median patch area was larger in the PEG-only group (28 cm2 vs. 16.2 cm2; p = 0.001), whereas patients in the PEG plus SPP group were more likely to receive a single patch implant (100% vs. 53.8%; p < 0.001). The penile length increased in 18 patients (61.6%), with significant differences between the two groups (30% vs. 81.2%; p = 0.03). Overall, 14 patients (53.8%) reported greater satisfaction with their sexual life post-operatively, with comparable rates between the groups (p = 0.2). No significant differences were found in the post-operative 5-item version of the International Index of Erectile Function scores or severe post-operative ED (all p > 0.5). SPP placement during corporoplasty in patients with mild ED is safe and feasible, and it may be a suitable option for patients uncertain about inflatable prosthesis placement. The use of SPP resulted in longer penile lengths and necessitated smaller grafts. However, further data are required to understand the long-term clinical implications of this approach.

Spatial-temporal changes of landscape and habitat quality in typical ecologically fragile areas of western China over the past 40 years: A case study of the Ningxia Hui Autonomous Region.

In this paper, we use the InVEST model and five periods of land use data from 1980 to 2020 to assess the habitat quality of the Ningxia Hui Autonomous Region in Western China, which has characteristics of a typical fragile ecosystem. We further analyse the spatial and temporal characteristics of habitat quality evolution and its relationship with land use and landscape pattern indices to explore the close relationship between regional habitat quality changes and human natural resource conservation and utilization. The research results show that the overall habitat quality of Ningxia Hui Autonomous Region was stable and at a moderate level (0.57-0.60) during the 40 years from 1980 to 2020; Habitat patches (2020) with low (24.89%), high (22.45%) and very high (29.81%) quality occupy a larger proportion of the area, followed by very low (13.31%) and moderate levels (9.54%). Over the past 40 years, there have been 275 sample sites in Ningxia where habitat quality has deteriorated, 1593 sample sites where the habitat quality has remained stable, and 184 sample sites where the habitat quality has increased. From 1980 to 2020, the Mean Patch Area of landscape types in Ningxia decreased by 25.9 hm2. The Patch Density increased by 0.06 /hm2. The Largest Patch Index decreased by 15.69%. The Edge Density increased by 2.5 m/hm2. The Contagion Index decreased by 2.99%. The Area-Weighted Mean Patch Fractal Dimension remained basically unchanged (0.01). The Landscape Shape Index showed a trend of first increasing and then decreasing, increasing by 13.94. The Area-Weighted Mean Shape Index has been reduced by 9.45. The Shannon Diversity Index and Shannon Evenness Index both show an increasing trend, but the amplitude is relatively small, with 0.09 and 0.04, respectively. There was a significant spatial aggregation of high and low habitat quality in Ningxia, with high values usually distributed in the northern and southern areas with good natural conditions and low values distributed in areas with frequent human activities and poor natural conditions. The decrease in habitat quality in Ningxia was mainly due to the expansion of cultivated land and construction land, the increase in landscape fragmentation and the resulting decrease in connectivity. On the other hand, due to the implementation of ecological protection measures, such as the project of returning farmland to pasture and grass to forest, the quality of habitats in Ningxia increased. The conclusions of this study support the idea that the conservation of habitat quality in ecologically fragile areas should fully preserve the original natural habitats and reduce the interference of human activities to increase the habitat suitability of the landscape and the habitat connectivity between patches. At the same time, targeted ecological protection policies should be developed to restore the areas where the habitat quality has been damaged and ultimately maintain the stability of biodiversity and ecosystems in ecologically fragile areas. Meanwhile, for ecologically fragile areas with similar ecological characteristics to those of Ningxia, our research supports the idea of increasing the protection of the stability of the original habitats, increasing the proportion of ecological restoration projects, financial investment and seeking cooperation with local community managers and residents will help to improve the quality of the regional habitats and the enrichment of the biodiversity, and ultimately promote the harmonious coexistence of human beings and nature in the modernized sense of the word.

Retracted: Parallel Calculation Method of Patch Area Landscape Art Index Based on Surface Coverage Data

Retracted: Parallel Calculation Method of Patch Area Landscape Art Index Based on Surface Coverage Data

Research on Grus japonensis habitat requirements for developing restoration plans

As an endemic species in Asia, Grus japonensis reproduction and survival rely on natural wetland resources. In the Yancheng coastal wetlands, the wintering habitat of Grus japonensis had been destroyed due to rapid social and economic development. At the same time, its population also declined leading to land use changes. Therefore, it was urgent to conduct scientific restoration and management of the winter habitat. Based on the structural habitat demand for Grus japonensis, traffic light warning analysis and landscape structure index system were used to guide habitat restoration. The main conclusions were as follows: the population of Grus japonensis in Yancheng coastal wetlands reached its highest recorded number of 952 in 2000. The population showed a tendency to concentrate in the core area (CA) of the Yancheng National Nature Reserve (YNNR). The locations of restoration areas under yellow, green and peak historical state were determined by the traffic light warning analysis. Landscape indicator thresholds were set based on the landscape conditions of the habitat in 2000. After restoration, the habitat should contain at least two landscape types: Phragmites australis (P. australis), Suaeda salsa (S. salsa) and ponds, with a minimum patch area of 5.22–19.11 km2 and 5–17 patches. Habitat should be located at least 500 m from roads and farmland and 1000 m from residential areas. From the perspective of improving landscape diversity, “P. australis-pond habitat”, “P. australis-S. salsa habitat”, “Continuous P. australis habitat” and “Continuous S. salsa habitat” were constructed by landscape patterns. Finally, according to the land use situation around the habitat, the “Friendly” land use layout of “Salt marsh wetland--Low intensity ecological aquaculture pond--Farmland--Construction land” from sea to land was developed. This mode provides a reference for the habitat restoration of coastal wetlands.

Physical adversarial attack in artificial intelligence of things

AbstractWith the continuous development of wireless communication and artificial intelligence technology, Internet of Things (IoT) technology has made great progress. Deep learning methods are currently used in IoT technology, but deep neural networks (DNNs) are notoriously susceptible to adversarial examples, and subtle pixel changes to images can result in incorrect recognition results from DNNs. In the real‐world application, the patches generated by the recent physical attack methods are larger or less realistic and easily detectable. To address this problem, a Generative Adversarial Network based on Visual attention model and Style transfer network (GAN‐VS) is proposed, which reduces the patch area and makes the patch more natural and less noticeable. A visual attention model combined with generative adversarial network is introduced to detect the critical regions of image recognition, and only generate patches within the critical regions to reduce patch area and improve attack efficiency. For any type of seed patch, an adversarial patch can be generated with a high degree of stylistic and content similarity to the attacked image by generative adversarial network and style transfer network. Experimental evaluation shows that the proposed GAN‐VS has good camouflage and outperforms state‐of‐the‐art adversarial patch attack methods.

Both class- and landscape-level patterns influence crop yield

Under global climate change, we can adjust landscape patterns to mitigate the effects of climate factors on crop yield. Field and landscape-scale research suggests that increased land cover diversity and non-crop habitats can improve crop yield, but little is known on the effects of patch area and shape of one type of land use (i.e., class-level) and spatial patterns (aggregation, fragmentation, and heterogeneity) of surrounding multiple land-use classes (i.e. landscape-level) on crop yield. We evaluated the relationship between 375 landscape metrics at both class- and landscape-levels, 120 climate variables, and the crop yields of maize, rice, and wheat in China from years 2000–2015 at national and sub-climatic zone scales. Our results suggest that both class- and landscape-level patterns were the main drivers, contributing averagely 12% of the variations in crop yields. Specifically at national scale, crop yield in cropland with forest cover (>27%) was increased by 169% than where without forest cover. Shape complexity in forest and cropland patches, aggregation degree, and spatial complexity of land cover types were more closely associated with crop yield (accounting for 2–73% of the variations in crop yield at sub-climatic zones) than landscape diversity (<2%), mainly owing to their mediating effects on the relationship between climate factors and crop yield. Not all non-crop habitats are beneficial to crop yield, and forest patches with a suitable area and shape complexity perform best. Our findings suggest that the regulation of both class- and landscape-level patterns may be an alternative way to improve crop yield, rather than only enhancing land-cover diversity or increasing the area of non-crop habitats.

Identification and characteristic analysis of semi-natural habitats in China's economically developed areas: New insights to inform cultivated land system ecological conservation

Identifying and characterizing semi-natural habitats (SNHs) are important to the ecological conservation of cultivated land systems and implementing China's ecological civilization strategy. This study revealed the concept and characteristics of SNHs in Chinese cultivated land systems regarding human activities, resource types, and spatial landscape patterns. The resource quantity, landscape quality, and spatial distribution of SNHs in Southern Jiangsu's cultivated land system were analyzed by constructing the identification model of “land use/land cover type-cultivated land use intensity-spatial landscape pattern”. The results showed that the area of SNHs in Southern Jiangsu's cultivated land system was 25.35%, significantly influenced by cultivated land intensification and expansion. The higher the cultivated land use intensity, the lower the quantity of SNHs, and the proportion of SNHs in the intensive-use pattern was only 2.97%. 68.18% of the SNHs in Southern Jiangsu were water, and habitats for important species, such as woodland, grassland, wetlands, and bare land, were scarce. A small patch area, high landscape fragmentation, poor landscape richness and diversity, and low connectivity accompanied increased cultivated land use intensity. From the extensive to intensive utilization, the spatial spread of SNHs from low-value aggregation to high-value scatter areas, with hotspot areas of cultivated land use intensity and SNHs existing only in a small part of Nanjing and Changzhou. This study provides a scientific reference for the rehabilitation and restoration of SNHs in the context of the ecological transformation of land use. It promotes the sustainable intensification of cultivated land systems. It also provides new ideas for linking ecological and urban spaces to form a stable and systematic national ecological safety network.

Estimating appropriate mowing timing for the population of an endangered butterfly inhabiting grassland patches in an agricultural landscape

It has been recognized that the timing of disturbance, in addition to its intensity and frequency, is important for the population dynamics of organisms because the impact of the disturbance depends on the life history stage at which it occurs (i.e., egg, larva, or adult). However, the effects of disturbance timing on consumer population dynamics have not been explored. This study simultaneously estimated the effects of mowing frequency and timing on the subpopulation dynamics of the endangered grassland butterfly, Plebejus argyrognomon. A two-year investigation of a metapopulation of P. argyrognomon consisting of approximately 150 habitat patches revealed that subpopulation size decreased with increasing mowing frequency, in addition to the positive effect of patch area and habitat connectivity. With the mowing frequency fixed at once per year, subpopulation size maximized when mowing occurred during the adult period in the previous generation, presumably due to reduced impact in the high-mobility adult stage. By mowing during this period, subpopulation size was maintained at several times higher than mowing during the larval period. It is suggested that disturbance timing should be incorporated into the conservation of metapopulations in human-managed landscapes.Implications for insect conservationReducing mowing frequency is important for the conservation of P. argyrognomon. In addition, mowing during the adult stage is best suited for maintaining subpopulations.

RRGA-Net: Robust Point Cloud Registration Based on Graph Convolutional Attention.

The problem of registering point clouds in scenarios with low overlap is explored in this study. Previous methodologies depended on having a sufficient number of repeatable keypoints to extract correspondences, making them less effective in partially overlapping environments. In this paper, a novel learning network is proposed to optimize correspondences in sparse keypoints. Firstly, a multi-layer channel sampling mechanism is suggested to enhance the information in point clouds, and keypoints were filtered and fused at multi-layer resolutions to form patches through feature weight filtering. Moreover, a template matching module is devised, comprising a self-attention mapping convolutional neural network and a cross-attention network. This module aims to match contextual features and refine the correspondence in overlapping areas of patches, ultimately enhancing correspondence accuracy. Experimental results demonstrate the robustness of our model across various datasets, including ModelNet40, 3DMatch, 3DLoMatch, and KITTI. Notably, our method excels in low-overlap scenarios, showcasing superior performance.

Urban ecological environment evaluation and influencing factors analysis at the residential quarter-level in Xi'an, China

Residential quarters are a critical component of urban areas, which significantly affects people's health and quality of life. In recent decades, the high-density and crowded residential quarters have become the mainstream organizational model of construction in China, because of the rapid and massive urbanization in many cities. This results in the contradiction between the eco-environment needs and the accommodation needs. Therefore, a systematic evaluation of the eco-environment in residential quarters is urgently needed to address the drawbacks of current residential quarters' planning and design. This paper aims to explore ways to improve the eco-environment with residential quarters from the perspective of China. We first used the Remote Sensing Ecological Index (RSEI) to evaluate the eco-environmental quality of 3, 756 residential quarters in the main urban areas of Xi 'an, China. Then, we quantitatively analyzed the landscape patterns of the impervious surfaces in these residential quarters. Finally, we characterized the impacts of residential quarters layout on the ecological environment by using the vegetation coverage (FVC), the normalized difference bare soil index (NDBSI), building density (BD), the residential density (RD), and the population density (PD) as main factors. The results are as follows: (1) Only 20.5 % of residential quarters with good eco-environments were distributed between the Second and Third Ring Road, indicating the need for improvement in creating livable eco-environments. (2) The shape of the impervious surface of excellent ecological quarters is complex and broken, the average patch area is smaller, and the degree of aggregation and combination of patches is lower compared to residential quarters with poor ecological quality. Therefore, it is recommended to reduce the connectivity of the impervious surface to improve the eco-environment of residential quarters. (3) Among the factors affecting RSEI of residential quarters, FVC, and NDBSI contribute more than other factors. For the construction of excellent eco-environments in residential quarters, we suggest that vegetation coverage should be no less than 0.4, the impervious surface coverage should be no more than 0.53, the building density should be between 0.28 ∼ 0.35, residential density should be no more than 0.22, and the population density of residential quarter should be under 0.29. Overall, for open and low-density residential quarters, the living environment can be improved by enriching vegetation and reducing impervious surfaces, while compact, high-density residential quarters can create a livable eco-environment by optimizing the impervious surface landscape patterns.