Mixed Landscape Research Articles

Regeneration of secondary forest following anthropogenic disturbance from 1985 to 2021 for Amazonas, Brazil.

Following old-growth forest loss and subsequent land abandonment, secondary forest grows throughout the Amazon biome. For Amazonas, agricultural colonization was unsuccessful in many regions, leading to the regeneration of secondary forest and carbon storage under favorable climate conditions. Herein, the extent of regeneration in Amazonas and its timescale are investigated, including a granular analysis of its 62 municipalities, based on the MapBiomas dataset from 1985 to 2021. By 2021, 10,495 km2 of secondary forest had grown, corresponding to 28% of the lost old-growth forest. After normalization for algorithmic differences, this estimate was 17%-38% lower than prior studies for Amazonas that used earlier versions of the MapBiomas dataset, indicating increased accuracy in landcover assignments for more current versions of the dataset. For the northeastern microregion, representing the 15 municipalities of economic and population dominance in Amazonas, the growth of secondary forest varied from 3.0% to 9.8% of the total land area. For the southern microregion, constituting seven municipalities adjacent to large-scale deforestation of Mato Grosso and Rondônia, regeneration of secondary forest constituted 0.4%-1.2% of the land area. For the remaining interior municipalities, the regeneration was 0.0%-1.9%. Among the municipalities, the median regeneration interval, corresponding to the duration between the loss of old-growth forest and the appearance of secondary forest, ranged from 2 to 7 years. The median regeneration intervals of the interior, northeastern, and southern microregions were 3, 4, and 5 years, respectively. Even as the secular trend of deforestation continues in the Amazon biome and encroaches into the southern border of Amazonas state, the results herein indicate a possible resiliency toward secondary forest for undisturbed land on a timescale of several years, at least for mixed pasture-forest landscapes of kilometer-scale heterogeneity and assuming that a favorable climate persists for regeneration even as global change occurs.

The effect of soil parameters and earthworm abundance on the fine-scale nocturnal habitat use of the Eurasian woodcock (Scolopax rusticola).

The Eurasian woodcock prefers habitats where its main prey, earthworms, can be found in higher densities. Although they are forest-dwelling birds, they regularly visit pastures and natural grasslands at night, where earthworm abundance is generally higher. However, there is little information on fine-scale habitat use in relation to variation in habitat characteristics and prey availability, particularly beyond the breeding season. In our study, we investigated if the nocturnal occurrence of woodcocks during migratory stopover periods differed between two neighbouring fields, or management units, with similar vegetation structure, and if within-field variation in the spatial patterns of woodcock sightings were associated with fine-scale earthworm densities and soil parameters. Specifically, we used GPS tracking data of two tagged woodcocks and direct observation data to study patterns of occurrence of birds in a mixed forest-pasture landscape in Hungary during pre- and post-breeding periods. We compared these patterns with fine-scale soil characteristics and earthworm abundance, acquired by field sampling. We found that the field with higher earthworm abundance was visited by woodcocks more frequently, and this correlation was similarly observed at the intra-field level. Our results demonstrate that woodcocks select foraging sites with higher earthworm densities at multiple spatial scales, both between fields (coarse scale), and within fields (fine-scale). Considering that woodcocks tended to return to the same field to forage at night, the strong associations between occupancy and resources provide a basis for developing habitat management strategies at the field level for conservation. As earthworm densities and soil parameters are good indicators of woodcock foraging habitat, measuring those variables, at least at a coarse scale, could aid in predicting important habitats for the species across the landscape.

Determining key mammalian species and food web robustness across different land cover vegetation using network analysis

Abstract. Risdiyanto I, Santosa Y, Santoso N, Sunkar A. 2024. Determining key mammalian species and food web robustness across different land cover vegetation using network analysis. Biodiversitas 25: 3175-3190. The ecosystem's food web depicts the intricate energy flow and complex interactions among its diverse organisms. Organisms are not confined to single trophic levels or food chains; they establish multiple food connections with other organisms within the ecosystem. This study aims to identify critical mammalian species and assess the robustness of various ecosystem types, considering the diversity of species presence, through food web analysis. Computational graphic-based network analysis is employed to achieve this goal. Ecosystem types, categorized by their land cover, include plantation/agricultural forests, Bushes and shrubss, forests, and mixed landscapes. Network centrality metrics such as degree, closeness, betweenness, and eigenvector centrality are utilized to evaluate the presence of key species and ecosystem robustness. The relative contribution of mammalian species as connectors and regulators of energy flow in the food web ranges from 8-23% of all nodes involved. Key mammalian species are classified into ecosystem stability and sustainability keys. In Bushes and shrubss ecosystems, key species predominantly consist of mammalian predator species that are crucial for maintaining ecosystem stability through population control. Conversely, in other ecosystems, key species are primarily connectors, ensuring the sustained energy flow. The most resilient food webs are observed in Bushes and shrubss and mixed ecosystems due to their higher biomass growth rates and abundant presence of mammalian species. Utilizing food web analysis can significantly contribute to species and ecosystem conservation efforts by offering a comprehensive understanding of interspecies interactions, food web structures, and ecosystem dynamics.

Deer in the agriculture-forest matrix: Interacting effects of land uses on browsing pressure on trees

Cervids inhabit mosaic landscapes that are strongly influenced by human land use and actions. Forestry and agriculture influence both the foodscape and the risk landscape, thus influencing how cervids respond to resource-risk trade-offs. Furthermore, these land use types interact to shape cervid use of the landscape. For example, cervids can forage in open agricultural fields providing high quality forage during the night, while using nearby forest patches to reduce risk during the day. Hence, actions conducted in one of these land use types will likely influence the use of the other by cervids. In this study, we investigate how agricultural and silvicultural practices interact to shape cervid use of the forest and their impact on commercially valuable trees. More specifically, we investigate the effect of growing nutrient dense crops in mixed forest-agriculture landscapes. We hypothesized that the sowing of such crops may not only attract cervids to the agricultural parts of the landscape, but also lead to increased browsing levels in adjacent forest areas where cervids seek cover. Moreover, such high quality crops may not only influence the number of animals, but also increase the intake rate of fibrous tree saplings of individual cervids to nutritionally balance the high input of easily-digestible macronutrients from the crops. We tested these ideas by conducting a large landscape-scale experiment where we manipulated the foodscape by growing two crop types on 28 fields (14 fields with high-quality oat versus 14 fields with lower-quality grass) and measuring cervid use of tree saplings in the forest patches adjacent these fields. We also investigated how forage availability in the forest patches and the distance from field edge affected browsing on tree saplings. Finally, we compared the effects of crop type and forest forage availability on the browsing pressure on coniferous versus deciduous tree species. We studied this in a multispecies ungulate system, where four cervid species occur sympatrically. We show that the type of crop sown influenced browsing pressure on tree saplings in nearby forests, with higher browsing levels in forests surrounding oat compared to grass fields. Moreover, browsing pressure in these forests was influenced by the availability of young trees in the forest stands, where more young trees led to reduced browsing pressure on individual saplings. Our study emphasizes that human practices that shape features of the foodscape in one land use type will influence the impact cervids have in another land use type. Hence, our study highlights the importance of considering the actions and impacts of different land uses simultaneously for predicting cervid foraging patterns in mixed forest-agriculture landscapes.

Abandonment or biomass production? Phytodiversity responses to land-use changes of semi-natural grasslands in northern Europe

European semi-natural grasslands are hotspots for biodiversity and important for the provisioning of multiple ecosystem services, but their extent has declined considerably during the past century. Increasing demands for agricultural and forest biomass risk causing further loss of grasslands, raising concern about a goal conflict between climate mitigation and biodiversity conservation. This study focused on the loss of semi-natural grasslands in a mixed farm-forest landscape in southern Sweden by comparing plant diversity in grasslands with continuous grazing regimes to recently abandoned grasslands, improved grasslands (sown leys), and afforested grasslands. Compared to actively grazed grasslands, grasslands where grazing had been abandoned showed a lower plant species richness and fewer plant species of conservation concern, but similar species composition. In contrast, both improved and afforested grasslands showed >50 % lower species richness than abandoned and grazed grasslands, with profoundly different species composition. The dissimilarity in plant diversity between sites was primarily driven by the replacement of species (turnover), and trait-based analyses indicated that environmental filtering of light, management, and nutrient requirements of plants shaped the community differences. Furthermore, an increased cover of semi-natural grassland around the sites positively related to plant species richness and diversity, while an increased cropland coverage around the sites showed a negative relationship. Our results emphasize the importance of integrated land-use strategies that prioritize biodiversity conservation in mixed farm-forest landscapes, such as restoration of semi-natural grasslands and strategic planning of biomass production to avoid serious biodiversity losses.

Leopard density and determinants of space use in a farming landscape in South Africa

Protected areas are traditionally the foundation of conservation strategy, but land not formally protected is of particular importance for the conservation of large carnivores because of their typically wide-ranging nature. In South Africa, leopard (Panthera pardus) population decreases are thought to be occurring in areas of human development and intense negative interactions, but research is biased towards protected areas, with quantitative information on population sizes and trends in non-protected areas severely lacking. Using Spatially Explicit Capture-Recapture and occupancy techniques including 10 environmental and anthropogenic covariates, we analysed camera trap data from commercial farmland in South Africa where negative human-wildlife interactions are reported to be high. Our findings demonstrate that leopards persist at a moderate density (2.21 /100 km2) and exhibit signs of avoidance from areas where lethal control measures are implemented. This suggests leopards have the potential to navigate mixed mosaic landscapes effectively, enhancing their chances of long-term survival and coexistence with humans. Mixed mosaics of agriculture that include crops, game and livestock farming should be encouraged and, providing lethal control is not ubiquitous in the landscape, chains of safer spaces should permit vital landscape connectivity. However, continuing to promote non-lethal mitigation techniques remains vital.

Unlocking the performance evolution of GdBCO coated conductors irradiated by deuterium plasma

REBa2Cu3O7-δ (REBCO, RE: rare earth) coated conductors (CCs) can generate a powerful magnetic field and are optimal for sustaining the reaction in fusion devices. However, the REBCO CCs will inevitably be exposed to neutron radiation during device operation. Transmutation produces gas atoms such as hydrogen will affect their properties. In this paper, GdBCO CCs were irradiated by 20 eV deuterium plasma. It was found that the irradiation introduced smaller (2–4 nm) pinning sites that formed a mixed pinning landscape with rare earth oxides (tens of nanometres) in the pristine samples, leading to an improved vortex pinning. At an irradiation fluence of 5.0 × 1018 D cm−2, the J c values of the samples irradiated by deuterium can maintain the best enhancement of in-field performance at 4.2 K. Excess irradiation results in a decrease in J c, a broadening of the superconducting transition width, and an enhanced disorder in GdBCO. This study provides some valuable insights for potential changes in the properties of REBCO CCs irradiated in fusion devices.

Level 7 degree apprenticeships – a story of challenge, resilience and success

ABSTRACT This study explores the lived experience of both in-service and pre-service apprentices studying Level 7 apprenticeship programmes. Using qualitative questionnaires, this article facilitates a thematic analysis exploring how aspects such as: rationale for enrolment; study habits; prioritisation of workload; resilience and wellbeing are experienced by educators studying either an Academic Professional Apprenticeship or a Senior Leaders Apprenticeship programme. Results demonstrate a mixed landscape is apparent for Level 7 apprentices, with tangible differences, both within and between groups, exhibited regarding reason for enrolment and study habits. The challenge around balancing work-life priorities and the encroachment of work commitments on study time (and vice versa) are a common theme for both cohorts, with those who have better established working patterns and relationships more resilient to the challenges of Level 7 apprenticeship study.

Wildlife Conservation on Private Land: A Social-Ecological Systems Study

As human activity accelerates the global crisis facing wildlife populations, private land conservation provides an example of wildlife management challenges in social-ecological systems. This study reports on the research phase of ‘WildTracker’ - a co-created citizen science project, involving 160 landholders across three Tasmanian regions. This was a transdisciplinary collaboration between an environmental organisation, university researchers, and local landholders. Focusing on mammal and bird species, the project integrated diverse data types and technologies: social surveys, quantitative ecology, motion sensor cameras, acoustic recorders, and advanced machine-learning analytics. An iterative analytical methodology encompassed Pearson and point-biserial correlation for interrelationships, Non-Metric Multidimensional Scaling (NMDS) for clustering, and Random Forest machine learning for variable importance and prediction. Taken together, these analyses revealed complex relationships between wildlife populations and a suite of ecological, socio-economic, and land management variables. Both site-scale habitat characteristics and landscape-scale vegetation patterns were useful predictors of mammal and bird activity, but these relationships were different for mammals and birds. Four focal mammal species showed variation in their response to ecological and land management drivers. Unexpectedly, threatened species, such as the eastern quoll (Dasyurus viverrinus), favoured locations where habitat was substantially modified by human activities. The research provides actionable insights for landowners, and highlights the importance of ‘messy,’ ecologically heterogeneous, mixed agricultural landscapes for wildlife conservation. The identification of thresholds in habitat fragmentation reinforced the importance of collaboration across private landscapes. Participatory research models such as WildTracker can complement efforts to address the wicked problem of wildlife conservation in the Anthropocene.

Improving an agroforestry system with livestock in southern Brazil

Agroforestry systems hold significant environmental and cultural value but are yet to receive economic valorisation. In southern Brazil there is a centuries old agroforestry system called Caíva which is classified as a silvopastoral system, combining native trees, cattle herds and pastures. Caívas occupy significant land area and contribute to priceless forest conservation, maintaining rare and threatened trees, but challenges of legal insecurity, low economic yield and ineffective management are threatening the preservation of caívas. To address these challenges, the Agricultural Research and Rural Extension Company of Santa Catarina State (Epagri) began conducting research in 2006 to develop technologies that would increase productivity while maintaining forest cover. Their technology has shown promising results, increasing animal production by up to 400% while still maintaining the tree stratum and active forest regeneration. Epagri’s technologies are based on five activities: the selection of adapted perennial pastures, planting improved pastures without soil disturbance, soil liming and annual fertilisation, rotational grazing, and overseeding with ryegrass and clover during the autumn/winter period. By adopting Epagri's technologies, caíva owners can increase their income, maintain active forest regeneration, and ensure legal certainty over their properties. These strategies are primarily applicable to open and very open caívas, and it is recommended that other types of caívas be used for the preservation and provision of ecosystem services. Research on caivas improvement has shown multiple benefits, emphasising the importance of continued investment in research and development, to further valorise agroforestry systems. It is essential, however, to balance these productive improvements with the maintenance of permanent preservation areas and mixed ombrophilous forest landscapes.

The Radicalisation Spectrum: How an Individual’s Susceptibility to Influence – Not Ideology – Incubates Radicalisation Towards Non-violent and Violent Extremism

This paper proposes a new perspective on how radicalisation occurs. It argues that in group-based environments, radicalisation occurs on an ideologically-agnostic omni-directional spectrum of engagement vs disengagement where susceptibility to influence – not a commitment to a particular ideology at the outset – is a precursor to violent extremism. By using behavioural economics as a framework to organise information, particularly through the lens of an availability cascade, we can observe how influence underpins not only radicalisation, but the master narratives and grievances ideologies depend on. While the role of an ideology, or many ideologies, remain an important feature of radicalisation, this paper argues that the ability of an extremist availability entrepreneur to exert influence onto others across a ‘Radicalisation Spectrum’ is a constant a feature among those radicalising. This perspective accounts for an increasingly mixed ideological landscape among non-violent and violent extremists and concludes that a person’s susceptibility to influence is therefore a consistent marker for evaluating a person’s risk of radicalisation.

Bornean tropical forests recovering from logging at risk of regeneration failure.

Active restoration through silvicultural treatments (enrichment planting, cutting climbers and liberation thinning) is considered an important intervention in logged forests. However, its ability to enhance regeneration is key for long-term recovery of logged forests, which remains poorly understood, particularly for the production and survival of seedlings in subsequent generations. To understand the long-term impacts of logging and restoration we tracked the diversity, survival and traits of seedlings that germinated immediately after a mast fruiting in North Borneo in unlogged and logged forests 30-35 years after logging. We monitored 5119 seedlings from germination for ~1.5 years across a mixed landscape of unlogged forests (ULs), naturally regenerating logged forests (NR) and actively restored logged forests via rehabilitative silvicultural treatments (AR), 15-27 years after restoration. We measured 14 leaf, root and biomass allocation traits on 399 seedlings from 15 species. Soon after fruiting, UL and AR forests had higher seedling densities than NR forest, but survival was the lowest in AR forests in the first 6 months. Community composition differed among forest types; AR and NR forests had lower species richness and lower evenness than UL forests by 5-6 months post-mast but did not differ between them. Differences in community composition altered community-weighted mean trait values across forest types, with higher root biomass allocation in NR relative to UL forest. Traits influenced mortality ~3 months post-mast, with more acquisitive traits and relative aboveground investment favoured in AR forests relative to UL forests. Our findings of reduced seedling survival and diversity suggest long time lags in post-logging recruitment, particularly for some taxa. Active restoration of logged forests recovers initial seedling production, but elevated mortality in AR forests lowers the efficacy of active restoration to enhance recruitment or diversity of seedling communities. This suggests current active restoration practices may fail to overcome barriers to regeneration in logged forests, which may drive long-term changes in future forest plant communities.

Bark‐beetle disturbance severity only moderately alters forest affinity of arthropod communities

Abstract Forest ecosystems are facing increasing challenges like natural disturbances. Despite positive disturbance impacts on the diversity of several taxonomic groups, there are still concerns, whether the drastic canopy opening can lead to a turnover from forest to open habitat species. We sampled arthropods along a disturbance gradient in Norway spruce (Picea abies)‐dominated protected areas across Central Europe using Malaise traps and metabarcoding. To analyse changes in arthropod communities in terms of forest affinities along the disturbance gradient, we explored the potential of a list of forest affinities (LFA) that provides information about species affinities from closed forest to open habitats. Our results show that the mean forest affinity decreased with increasing disturbance severity. This trend was accompanied by a decrease in forest‐associated species as well as community shifts for open and mixed habitat species. Responses varied between taxa and were most apparent in Coleoptera. Overall, the changes did not come with a complete replacement of forest specialists by species with higher affinities for mixed and open landscapes nor a drastic loss of forest species. Furthermore, we observed severely disturbed plots with a high mean forest affinity and vice versa, which calls for further studies using these kinds of species classifications. The LFA can provide additional information how species associated with forests habitats can react to environmental changes beyond increasing amounts of deadwood resources. Using additional trapping methods and determination techniques might increase the explanatory power of such analyses along ecological gradients.

Arrangement of nearby minima and saddles in the mixed spherical energy landscapes

The mixed spherical models were recently found to violate long-held assumptions about mean-field glassy dynamics. In particular, the threshold energy, where most stationary points are marginal and that in the simpler pure models attracts long-time dynamics, seems to lose significance. Here, we compute the typical distribution of stationary points relative to each other in mixed models with a replica symmetric complexity. We examine the stability of nearby points, accounting for the presence of an isolated eigenvalue in their spectrum due to their proximity. Despite finding rich structure not present in the pure models, we find nothing that distinguishes the points that do attract the dynamics. Instead, we find new geometric significance of the old threshold energy, and invalidate pictures of the arrangement of most marginal inherent states into a continuous manifold.

Budget Allocation and Management of Hospitals in Qingdao: Basis for Strategic Plan

The level of hospital budget management in China is uneven, and there are many problems in the process of budget management, such as unscientific budget preparation, uncontrolled budget implementation, and no performance evaluation of budget completion. This study examined the current state of hospital budget management in China, which highlights significant challenges such as unscientific budget preparation, inadequate control during implementation, and the absence of performance evaluation. These issues are compounded by communication gaps between departments, unclear responsibilities, and overall inefficiency in information integration, resulting in suboptimal budget management outcomes across the board. To shed light on this situation, the researcher conducted a qualitative study focusing on five public hospitals in Qingdao province, China, using in-depth interviews with financial directors to gather data. The findings revealed a mixed landscape where hospitals were aware of budget allocation and management practices but faced common challenges. Consequently, the study proposes a strategic action plan aimed at improving budget allocation and management practices in these hospitals. This plan emphasizes the need for streamlined processes, improved communication and coordination, clearer responsibilities, enhanced information integration, and performance evaluation mechanisms to optimize budget management outcomes and ensure efficient resource allocation to meet hospitals' growth and development objectives.

Family Medicine Residents' Knowledge and Attitudes About End-of-Life Care in Taif City, Saudi Arabia.

Background End-of-life care is essential for individuals with advanced illness and their families, providing comfort, symptom control, and dignity in the final year of life. Additionally, physician competence requires the ability to communicate, make decisions, and create relationships in end-of-life care. This study assesses family physicians' knowledge and attitude regarding end-of-life care in Taif, Saudi Arabia. Methods Thisdescriptive cross-sectional study conducted between October and November 2021 assessed the knowledge and attitudes of 163 family physicians in Taif City, Saudi Arabia, regarding end-of-life care. Using a convenient sampling technique, an adapted and validated questionnaire was administered electronically, collecting sociodemographic information and assessing participants' knowledge and attitudes. Data were analyzed using descriptive statistics in Statistical Product and Service Solutions (SPSS, version 28) (IBM SPSS Statistics for Windows, Armonk, NY). Results Findings included that 41.1% of residents believed the patient and family should be informed about diagnoses and prognoses in advanced diseases. At the same time, attitudes varied, with 45.4% agreeing that discussing such information could lead to patient depression and 42.9% believing it held no privilege for patients. Additionally, 57.7% recognized that grief reactions would occur, but patients would eventually adjust, and 44.8% agreed that discussing diagnoses would decrease patient anxiety. However, limited awareness of advance directives was evident, with 12.3% reporting being well aware and 45.4% having never heard of them. There was uncertainty and hesitancy regarding Do Not Attempt Cardiopulmonary Resuscitation (DNACPR) decisions, with 39.9% being well aware and 46% having heard of it without a strong understanding. Conclusion The findings revealed a mixed landscape, with physicians demonstrating awareness of the importance of transparent communication but needing more knowledge in areas such as advance directives and complex decision-making. The study highlighted the need for targeted education to address these gaps and promote a more informed and consistent approach to end-of-life care.

Soil moisture and fertility drive earthworm diversity in north temperate semi-natural grasslands

Intensive management of arable land reduces earthworm density and diversity. This may impair earthworm-mediated soil functions, such as nutrient mineralization and soil structure formation. To sustain earthworm source populations for re-colonization of cultivated soils, it is therefore important to preserve habitats with high earthworm diversity. Semi-natural grasslands, with a long continuity without soil disturbance, could serve as such earthworm diversity reservoirs. This is particularly important in mixed agricultural landscapes with elements of multiple land uses. Nonetheless, earthworm density and diversity vary greatly among grasslands. To preserve and optimally manage the most suitable grasslands, knowledge about which grassland characteristics best explain earthworm diversity is needed. Additionally, we have a limited picture of earthworm diversity in general, because previous studies have neglected juvenile earthworms and cryptic species. The juvenile fraction commonly comprises the main part of earthworm samples, whereas morphologically inseparable cryptic species account for an unknown fraction. This fraction is of particular importance, as juveniles reflect the local reproductive and regeneration potential of earthworm populations and communities. To determine the full species composition of earthworm communities, we sampled earthworms from 28 semi-natural grasslands in south-central Sweden and identified them to species by DNA barcoding. To test how grassland characteristics explain earthworm density, diversity, and community composition, we measured several characteristics of soils, vegetation, and management of the grasslands, and descriptors of the surrounding landscape. DNA barcoding revealed nearly twice as many species as were identified morphologically. Earthworm densities were higher in grasslands with higher Ellenberg moisture indicator values and lower soil C:N ratios. The diversity and occurrence of many earthworm species was also higher in grasslands with higher soil moisture indicator values and lower C:N ratios, and further increased with habitat heterogeneity. Certain species occurred more likely in grasslands with higher grazing intensity. Epigeic earthworms, which live in and feed on surface litter, were more common in grasslands with higher moisture indicator values and SOM content. Thus, dry and relatively unproductive semi-natural grasslands, which are common in Sweden, are unlikely to sustain high earthworm diversity – a pattern contrasting to previously reported plant diversity responses. Instead, earthworm diversity seems concentrated to more productive grazed grasslands, with large within-grassland heterogeneity. Therefore, we highlight the importance of considering soil animals in conservation policies for semi-natural grasslands.

Telehealth and digital health innovations: A mixed landscape of access.

In the wake of emergent natural and anthropogenic disasters, telehealth presents opportunities to improve access to healthcare when physical access is not possible. Yet, since the beginning of the COVID pandemic, lessons learned reveal that various populations in the United States do not or cannot adopt telehealth due to inequitable access. We explored the Digital Determinants of Health (DDoHs) for telehealth, characterizing the role of accessibility, broadband connectivity and electrical grids, and patient intersectionality. In addition to its role as an existing Social Determinant of Health, Policies and Laws directly and indirectly affect these DDoHs, making access more complex for marginalized populations. Digital systems lack the flexibility, accessibility, and usability to inclusively provide the essential services patients need in telehealth. We propose the following recommendations: (1) design technology and systems using accessibility and value sensitive design principles; (2) support a range of technologies and settings; (3) support multiple and diverse users; and (4) support clear paths for repair when technical systems fail to meet users' needs. Addressing these requires change not only from providers but also from the institutions providing these systems.

A Systematic Evaluation on Factors Influencing Green Accounting Practices of Selected Indian Companies A Way to Sustainable Development

The evaluation of green accounting practices among selected Indian companies reveals a mixed landscape. While some companies have made commendable strides in integrating environmental considerations into their financial reporting and decision-making processes, others lag behind. In our analysis, we found that several companies exhibit a commitment to transparency by disclosing environmental liabilities and actively measuring and reporting their greenhouse gas emissions. These industry leaders also invest significantly in renewable energy sources and sustainable technologies, showcasing their dedication to reducing their carbon footprint. However, there is a notable variance in the extent to which environmental performance is integrated into financial reports, with some companies demonstrating room for improvement in this regard. To foster a more sustainable future, it is imperative for all selected Indian companies to embrace green accounting practices fully, thereby contributing to environmental conservation while ensuring long-term financial stability.

Comparison and Assessment of Different Land Cover Datasets on the Cropland in Northeast China

The provision of precise and dependable information regarding the extent and distribution of cropland is imperative for the evaluation of food security, agricultural planning, and resource management. Cropland is an important component of land cover type and is offered in multiple existing global/regional land cover products. However, global-scale accuracy evaluation may not be representative of class-specific or local-area accuracy, such as in Northeast China, which is an important grain-producing region of China and has various types of cultivated land (e.g., wheat, rice) and diverse terrains. It poses a great challenge in generating precise cropland classification by automated mapping. Thus, it is indispensable to evaluate the accuracy and reliability of these various land cover datasets before using them. In this study, we collected thirteen sets of global or national-scale land cover datasets. Through the visual interpretation of high-resolution images, ground “truth” samples were collected to evaluate the data accuracy across Northeast China. The overall accuracy (OA) evaluation results in Phase-2020 show that CLCD has the highest value with 0.914, followed by GlobeLand30 (0.906), GLC_FCS30 (0.902), and Esri (0.896) for cropland classification in Northeast China. CGLS-LC100 has the lowest OA (0.710). For the commission and omission errors of six datasets in Phase-2020, CGLS-LC100 has an obvious overestimation (larger commission error), while the two national-scale datasets (CLCD and CLUDs) perform relatively better. In terms of spatial consistency, high spatial agreement among the nine Phase-2015 datasets or in the six Phase-2020 datasets could be discovered in traditional agricultural regions like the Sanjiang–Songnen–Liaohe Plain, and low agreement is found in the transition areas of mountains (hills) and plains with the mixed landscape of forest (grassland) and farmland. In the aspect of comparison pairwise data, CLCD is in good agreement with GLC_FCS30, GlobeLand30, and Esri, while CGLS-LC100 is in the poorest agreement with any other dataset. The comparison and evaluation results are expected to provide a reference on which aspects and to what extent these land cover products may be consistent and guide the cropland data product selection for Northeast China.