Simpson's Diversity Index Research Articles

Tropical Floristics Extinction, Causes and Diversity Composition of Non-Timber Forest Products in Kazaure Emirate, Jigawa State Nigeria

The study looked into the extinction of tropical tree species and the composition of non-timber forest products (NTFPs) in the emirate of Kazaure. Because of the rapid growth of the human population, trees and their products are vulnerable to human encroachment, which can lead to the destruction of natural habitats. An oral interview was also conducted, and the results indicated that 81.2% of the respondent were males, with farming occupations of 55.8% and age ranging from (46-60) recorded with 62.3%. A total of forty species (40) belonging to twenty-three (23) families and thirty-two (32) genera were recorded extinct, and the major causes of their extinction were farming expansion with 33.1%, fuel wood collection with 31.8%, medicine with 22.7%, urbanization with 7.8%, and climate variability with 4.5%. Data on the composition of NTFPs were analyzed using the Simpson index and descriptive statistics. Eighteen (18) products were found, with Gwiwa having the highest Simpson diversity index (D- 0.955), followed by Roni (D- 0.948), Yankwashi (D- 0.942), and Kazaure (D- 0.905). Environmental education and competent law enforcement are the primary approaches for restoring diversity and preventing the extinction of tropical trees and NTFPs in the emirate

Snake Diversity in Human Landscapes: A Comprehensive Study of Snake Species in Kushinagar, Uttar Pradesh, India

This comprehensive study documents the diversity of snake species within the human landscape of Kushinagar district, Uttar Pradesh, India. Carrying out extensive fieldwork using direct and indirect encounter methods revealed 18 snake species from six families, with the Indian Spectacled Cobra (Naja naja) being the dominant venomous species, along with Russell's viper (Vipera russellii) and the Indian Common Krait (Bungarus caeruleus). Biostatistical analysis showed that the Colubridae family was the most diverse group, comprising 61% of the recorded snake species. Species richness, abundance, and diversity indices were analysed, with the Shannon Diversity Index (H') and Simpson Diversity Index (D) indicating variations in species richness and evenness across different areas. The correlation matrix highlighted ecological interactions, such as predator-prey dynamics and habitat sharing, while non-parametric tests revealed significant differences in abundance among the study areas. The study emphasizes the importance of utilizing additional biostatistical strategies to examine non-normally distributed data and ensure robust conclusions. The findings contribute to understanding snake ecology and provide valuable insights for habitat management and biodiversity conservation planning in the Kushinagar region, which is crucial for protecting these enigmatic animals and their ecosystems.

Tree diversity, carbon sequestration and production potential of Oryza sativa L. in traditional agroforestry systems of Garhwal Himalaya, India

Agroforestry is an alternative land use practice that holds promise for societal benefits and the attainment of ecosystem sustainability. The objectives of this study were to evaluate the tree diversity, carbon sequestration, soil carbon pool, oxygen production and rice productivity under traditional agroforestry systems at different elevations in the Garhwal Himalayan region of India. Tree diversity, carbon sequestration and oxygen production were quantified by field measurements (using 0.04 ha quadrats) and subsequent calculations. Rice productivity was assessed using grain yield, straw yield and biological yield, while soil properties were analyzed in the laboratory using standard methods. Results of the study showed that tree diversity was higher at the 1200–1600 m elevation and had a maximum Shannon Diversity Index (1.29) and Simpson Diversity Index (0.69). The 1600–2000 m elevation stored more carbon (34.43 Mg ha−1) and total oxygen production (91.79 Mg ha−1). Among the agroforestry trees, Quercus leucotrichophora, Melia azedarach and Prunus cerasoides showed the highest carbon storage and total oxygen production. Elevation and soil depth were found to affect the soil properties. The agroforestry systems had higher soil organic carbon and lower bulk density than sole cropping systems. Compared to the agroforestry system, the monoculture produced more rice (Oryza sativa). The study shows that traditional agroforestry is a valuable tool for carbon sequestration and soil improvement, albeit with potential compromises in crop productivity. It emphasises the need for tailored management approaches to harness the ecological and environmental benefits of agroforestry in the Himalayas. This study draws attention to the potential of traditional agroforestry in the Garhwal Himalaya for carbon sequestration, climate change mitigation and soil quality improvement which provides a reference for striking a balance between the ecological advantages of agroforestry and the socio-economic considerations of local communities. However, it also underlines the importance of considering trade-offs between environmental benefits and crop yields when implementing such agroforestry systems.Graphical

Analysis of Diversity and Distributional Pattern of Fish along an Altitudinal Gradient in the Rana Stream, Mandi District, Himachal Pradesh, India with Special Focus on Their Relationship with Aquatic Parameters

The fish fauna diversity and distribution patterns were investigated in the Rana stream situated in the Mandi district, Himachal Pradesh, India. Given the considerable variations in altitude and climatic conditions within the study area, a stratified systematic sampling approach was adopted. The stream was stratified into two zones, upstream and downstream, based on the altitudinal gradient. A total of five fish species were identified, representing 4 genera and 2 orders, namely Cypriniformes and Channiformes. Cypriniformes emerged as the predominant order between the two. The Spearman correlation between fish species and selected abiotic parameters of stream water was examined. Several diversity indices, including Simpson's index, Simpson's diversity index, the Shannon index of diversity, Pielou's evenness index, and Margalef's richness index, were employed to evaluate fish diversity in the stream. The Water Quality Index (<i>WQI</i>) values varied from 49.65 to 55.14, representing that water quality spanning from «good» to «poor». Species diversity was found to be higher in the downstream altitudinal zone compared to the upstream zone. Similarly, microhabitat pools exhibited greater species diversity. It has been found that the low gradient and slow current velocity in downstream locations leading to increased nutrient deposition in deep pools thereby favoured higher fish species abundance.

Enhancement of feasibility and opportunities of ecotourism development around Jagdishpur Reservoir, Nepal

The study on Jagdishpur Reservoir, Nepal's largest artificial lake and a key wetland, evaluates its potential as a sustainable ecotourism destination.Situated near the Lumbini World Heritage Site, the reservoir is rich in biodiversity, especially its avian population, with a Simpson diversity index of 0.73519, indicating high species diversity. In addition to bird watching, the area offers scenic lake views, cultural homestays, and proximity to significant historical and cultural sites, including Sagarhawa, Tilaurakot, and the Araurakot Asoka Pillar, enhancing its tourism appeal. Data collection included bird surveys, household and visitor questionnaires, interviews, and mapping tools. Both locals and visitors strongly support ecotourism development, seeing it as a means to improve livelihoods and foster community development. Bird watching emerged as the most preferred activity, followed by lake-related attractions and scenic beauty. Despite its potential, challenges such as inadequate tourism infrastructure, poor marketing, and limited guest management skills among locals pose barriers to growth. The study recommends capacity-building workshops, improved infrastructure, and collaboration with commercial stakeholders to enhance promotion and marketing. These efforts could transform Jagdishpur Reservoir into a sustainable ecotourism hub that benefits local communities and supports conservation initiatives.

Household livelihood diversification and its determinant factors in Robe town and its surrounding hinterlands, Bale zone, southeast Ethiopia

Livelihood diversification is a set of activities that households engage in to generate revenue, and sustain life, or maximize financial benefit. This study examined the impact of rural-urban connectivity on household income diversification into farm and non-farm businesses, as well as the underlying driving factors in Robe Town’s hinterland, Bale Zone, Southeastern Ethiopia. Structured survey questions, key informant interviews, focus group discussions, and field observations were used to collect quantitative and qualitative data. A total of 260 samples were taken, representing 5% of households in hinterland villages within a 20-kilometre radius. Both multiple linear regression and descriptive statistics were utilized to analyze the data. According to the descriptive statistics, 40% of the 260 households generated income from non-farm sources. The data also showed that most households (84.3%) earned their income from agricultural activities. It was further revealed that income generated from non-farm businesses accounted for 16.3% of the total household income share. The average Simpson Diversity Index (SDI) for household livelihood income source diversification was 0.5087, indicating a modest level of livelihood diversity. In the hinterland, 21.9% of households have less diverse income sources, while 58.5% and 19.6% have moderately and highly diverse income sources, respectively. Landholding size, education level, irrigation use, harvesting of forest products, non-farm activities, Tropical Livestock Unit (TLU), farm commercialization, and rural-urban linkages are statistically significant drivers of farm households’ livelihood diversification (P < 0.05). The findings have policy implications; therefore, they call for expanding rural services, rural non-farm businesses, and improved linkages between rural and urban areas to facilitate the development of a portfolio of livelihood activities that sustain life, foster wealth creation, initiate vibrant inclusive socioeconomic development in the region, and ultimately reduce poverty.

Changes in Human Colonic Microbiota Promoted by Synbiotic Açai Juice Composed of Gluco-Oligosaccharides, Dextran, and Bifidobacterium breve NRRL B-41408.

The present study evaluates the effects of açai juice containing gluco-oligosaccharides and dextran, fermented by Bifidobacterium breve NRRL B-41408 (synbiotic juice), on the human fecal microbiota. The juice is subjected to simulated digestion and fecal fermentation after production and 42 days of refrigerated storage. High throughput 16S rRNA sequencing and HPLC are used to identify the bacterial cells and metabolites. The results show that the viability of B. breve is stable during the refrigerated storage, indicating that the metabolism is maintained even under low temperatures and pH. Furthermore, gluco-oligosaccharides and dextran prove to be resistant to gastrointestinal conditions and are quickly consumed during fecal fermentation. The synbiotic açai juice enhances the microbial diversity and stimulates the production of short-chain fatty acids (SCFA), including acetate, propionate, and isobutyrate. Elevated propionate levels are directly associated with an increased abundance of Bacteroides thetaiotaomicron, Bacteroides uniformis, Bacteroides xylanisolvens, Bacteroides dorei, Bacteroides stercoris, and Bacteroides massiliensis after 48 h of fermentation. This highlights the potential of synbiotic açai juice as a functional beverage, supported by the significant increase in microbial diversity reflected in the Shannon and Simpson's diversity indexes (Shannon = 116.6%, 117.2%, 125.15%, and 116.02%; Simpson's = 151.86%, 177.22%, 152.5%, and 163.73%).

Fire frequency shapes diversity in multi‐guild communities through direct and indirect pathways

Abstract Human‐induced changes in fire regimes worldwide are leading to changes in the diversity and composition of plant and insect communities through alterations in vegetation and habitat characteristics. As species interact in complex networks, environmental disturbances, such as an increase in fire frequency, can affect species directly and indirectly through cascading effects across trophic levels. This study examines the effects of fire frequency on multi‐guild communities in the Chaco region in Argentina, aiming to disentangle the direct and indirect pathways of influence between five different species groups: plants, phytophagous insects, ants, predators, and parasitoids. We assess cross‐taxon congruence by analysing α and β diversity indices and performing a structural equation model and Procrustes tests, respectively, trying to elucidate the pathways of influence between fire frequency and the different guilds. Multi‐guild communities responded to environmental changes produced by fire frequency via direct and indirect effects. Fire has both negative and positive, but weak indirect effects on predator richness through a bottom‐up cascading effect from plant richness across phytophagous insects and ants. However, when species relative abundances were considered, no effects have been observed on Shannon and Simpson diversity indices. A positive correlation between species composition of different guilds and fire frequency indicated congruence between connected guilds suggesting that changes in beta diversity propagate across all trophic chains. Given an increase in fire frequency, changes posed to vegetation translated in weak changes via species richness but through pronounced effects on species composition across different trophic levels. Our findings emphasise the importance of a multi‐guild approach to understanding biodiversity responses to environmental changes, highlighting the complexity and intricate dynamics of ecological communities in fire‐prone ecosystems.

Assessing soil microbial catabolic diversity in alder and oak plantations at varying developmental stages

To evaluate the impact of forest plantations on soil microbial catabolic diversity, this study investigated the microbial response to the addition of various carbon-rich substrates in different ages of forest plantations and compared catabolic diversity between a nitrogen-fixing tree species (Alder, Alnus subcordata C. A. M.) and a non-nitrogen-fixing one (Oak, Quercus castaneifolia C. A. M.). The study also analyzed the effects of carbon substrates found in association with roots, such as carbohydrates, carboxylic acids, amino acids, and amine groups, on substrate-induced respiration. The diversity indices (Simpson and Shannon diversity indicies) and Shannon evenness index demonstrated higher values in the oldest plantations than the youngest ones (with an order of 25 &gt; 20 &gt; 15 years). In younger plantations (15 and 20 years old), oak stands exhibited higher microbial diversity compared to alder stands. However, at 25 years old, alder plantation displayed greater diversity than the oak plantation, as indicated by higher values for the Shannon diversity index (2.77), Simpson diversity index (0.93), and Shannon evenness index (0.89). Forest plantations with alder and oak species significantly enhanced catabolic evenness and diversity, thereby increasing the soil capacity to decompose organic matter and the resilience of the soil to disturbance. These findings suggest that both alder and oak plantations can promote soil microbial diversity, but the influence might differ depending on the specific age of the trees. In conclusion, this study highlights the influence of forest plantations on soil microbial catabolic diversity, demonstrating the potential of diverse tree species to promote soil health and resilience through enhanced functional complexity.

Biodiversity from the Sky: Testing the Spectral Variation Hypothesis in the Brazilian Atlantic Forest

Tropical forests have high species richness, being considered the most diverse and complex ecosystems in the world. Research on the variation and maintenance of biodiversity in these ecosystems is important for establishing conservation strategies. The main objective of this study was to test the Spectral Variation Hypothesis through associations between species diversity and richness measured in the field and hyperspectral data collected by a Remotely Piloted Aircraft (RPA) in areas with secondary tropical forest in the Brazilian Atlantic Forest biome. Specific objectives were to determine which dispersion measurements, standard deviation (SD) or coefficient of variation (CV), estimated for the n pixels occurring within each sampling unit, better explains species diversity; the effects of pixel size on the direction and intensity of this relationship; and the effects of shaded pixels within each sampling unit. The spectral variability hypothesis was confirmed for the Atlantic Forest biome, with R2 of 0.83 for species richness and 0.76 and 0.69 for the Shannon and Simpson diversity indices, respectively, using 1.0 m illuminated pixels. The dispersion (CV and SD) of hyperspectral bands were most strongly correlated with taxonomic diversity and richness in the red-edge and near-infrared (NIR) regions of the electromagnetic spectrum. Pixel size affected R2 values, which were higher for 1.0 m pixels (0.83) and lower for 10.0 m pixels (0.71). Additionally, illuminated pixels had higher R2 values than those under shadow effects. The main dispersion variables selected as metrics for regression models were mean CV, CV for the 726.7 nm band, and SD for the 742.3 and 933.4 nm bands. Our results suggest that spectral diversity can serve as a proxy for species diversity in the Atlantic Forest. However, factors that can affect this relationship, such as taxonomic and spectral diversity metrics used, pixel size, and shadow effects in images, should be considered.

Top 10+1 indicators for assessing forest ecosystem conditions: A five-decade fragmentation analysis

Globally, land use change has consistently resulted in greater losses than gains in aboveground biomass (AGB). Forest fragmentation is a primary driver of biodiversity loss and the depletion of natural capital. Measuring landscape characteristics and analyzing changes in forest landscape patterns are essential for accounting for the contributions of forest ecosystems to the economy and human well-being. This study predicts national forest distribution for 2036 and 2054 using a Cellular Automata (CA) system and assesses ecosystem conditions through landscape metrics at the patch, class, and landscape levels. We calculated 130 metrics and applied a Variance Threshold method to remove features with low variance, testing different thresholds. The first filtered-out metrics were further analysed through Principal Component Analysis combined with a Feature Importance technique to select and rank the top 10 indicators: effective mesh size, splitting index, mean radius of gyration, largest patch index, mean core area, core area percentage, Simpson's evenness index, mutual information, Simpson's diversity index, and mean contiguity index. The eleventh selected indicator is the AGB density, a structural measurement for ecosystem condition and a proxy for forest carbon storage and sequestration assessments. From 2000 to 2018, the national AGB forest carbon stock decreased from 131.5 to 91.3 Megatons (Mt) with expected values for 2036 and 2054 being 71.8 and 55.3 Mt., respectively. Landscape measurements quantitatively describe forest dynamics, providing insights into the structure, configuration, and changes characterizing landscape evolution. This research underscores the capability of CA models to map large-scale forest resources and predict future development scenarios, offering useful information for conservation and environmental management decisions. Additionally, it provides measurements to support Ecosystem Accounting by assessing forest extent and indicators of its conditions.

Diversity of cultivable endophytic fungi in a decumbent subshrub endemic of the Brazilian tropical savanna.

The diversity of cultivable endophytic fungi in native subshrubs of the Brazilian Cerrado is largely unknown. This study investigated the cultivable endophytic mycobiome of stems, leaves, and flowers of Peltaea polymorpha (Malvaceae). In total, 208 endophytic fungi were isolated, 95 from stems, 65 from leaves, and 48 from flowers. The isolates were classified as ascomycetes belonging to three classes, eight orders, ten families, 12 genera, and 31 species. Diaporthe, Nigrospora, and Colletotrichum were the dominant genera in the three analyzed organs. The richness estimators suggested that the number of species might be slightly higher than observed. The highest values for the Shannon and Simpson diversity indices were observed in stems. Beta diversity showed overlapping of fungal communities in different organs, with a high rate of sharing of taxa. Furthermore, the dominant primary fungal lifestyles were plant pathogens and saprobes. Our findings show that the cultivable endophytic fungal community of P. polymorpha is species-rich and that communities in different organs share genera and species.

The epibiotic community associated to the European flat oyster: a function of the state of development of the reef

When healthy, Ostrea edulis populations are capable of creating remarkable biogenic reefs, providing a unique habitat for marine biodiversity. At present, the biotic assemblages associated with flat oysters remain poorly defined. This study aims to analyze biodiversity associated with the reef's development stage by focusing on its epibiotic community. The studied oyster population is an old remnant bed located in the Bay of Brest, which has been undergoing restoration for 5 years. The epibiotic communities (&gt;500 μm) of scattered individual living (n = 10) and dead (n = 9) oysters, as well as of aggregates from the ground (n = 10) and from a restored reef (n = 3) were compared. 137 species associated with oysters were found, among which 22 were specific to individual oysters and 55 to aggregates and reefs. Although reef samples formed a distinct group in the SIMPER analysis, Shannon's (between 2.25 and 2.52) and Simpson's (between 0.84 and 0.86) diversity indices remained constant for each reef development stage. Piélou's indices (between 0.71 and 0.80) were significantly lower for aggregates displaying a less evenly distributed community. Mean abundance and species richness per sample were higher for aggregated structures. However, when standardized to abundance per centimeter square of shell surface, both parameters were significantly higher for individual oysters. Therefore, while reefs may support a higher species richness at a larger spatial scale, at a smaller scale, single oysters have a higher species richness per unit area of shell. Seemingly, despite the poor state of their remnant populations, flat oysters are still hosting important macrofaunal biodiversity.

Influence of combined application of tetracycline and streptomycin on microbial diversity and function in rice soil.

A microcosm experiment was performed to quantify the residues of antibiotics [tetracycline (TC), streptomycin (STR), and streptocycline (STC; a mixture of TC and STR)] in rice soil and to assess their impact on microbial community structure and function using Illumina-MiSeq metagenomic analysis. Antibiotics were applied at half the recommended dose (0.5RD), recommended dose (RD), and double the recommended dose (2RD). At RD, TC was degraded in soil within 9days of its application, whereas it took 21days for STR and STC to degrade below limit of quantification (LOQ) level. The residue data were fitted in decay models, and half-lives (DT50) were 46.5-53.3h and 177.6-198h for TC and STR, respectively. Soil enzyme activities (dehydrogenase, β-glucosidase, fluorescein diacetate hydrolase, acid phosphatase, alkaline phosphatase) were negatively affected in the antibiotic-treated soil. Targeted metagenomic analysis showed that the major bacterial phyla such as Chloroflexi, Actinobacteria, Planctomycetes, Crenarchaeota, and Gemmatimonadetes were suppressed by antibiotic treatments as compared to control. Shannon, Simpson, ACE, and Chao1 diversity indices showed that bacterial diversity decreased with the application of antibiotics, and decrease in bacterial diversity was more prominent in case of STC as compared to TC and STR. Overall, the combination of antibiotics negatively affected the soil microbial community structure and function in comparison to their individual application.

Exploring the diversity of bryophytes through DNA barcoding in montane forests of the Private Conservation Area San Pablo Communal-Gocta Waterfall, Peru

Bryophytes (liverworts, mosses, and hornworts) play crucial ecological roles in the ecosystem. However, for the Private Conservation Area (PCA) San Pablo Communal-Gocta Waterfall, there are no records of the diversity of this group of plants, despite being in the territory of the Peruvian Yungas, which is considered to be a biodiversity hotspot. In this study, the diversity of bryophytes within the PCA was characterized using the rbcL. In addition, Shannon-Wiener and Simpson diversity indices were used to evaluate the species richness within the three life zones of the PCA [Tropical Premontane Dry Forest (TP—df), Tropical Low Montane Dry Forest (TLM—df) and Tropical Low Montane Humid Forest (TLM—hf)]. A total of 139 individuals were collected and 83 species were identified; these individuals were located in 49 genera and 33 families. The predominant species were Boulaya sp., Dicranolejeunea axillaris and Frullania cuencensis. The diversity indices showed a high diversity of bryophytes in the PCA, with values between 2.90 and 3.85 for the Shannon index and 0.93 and 0.97 for the Simpson index. This study provides information based on molecular tools on the bryophyte flora and contributes to the conservation of biodiversity in the San Pablo Communal PCA, Gocta Waterfall.

Forest Composition and Resource Utilization Patterns in Relation to Anthropogenic Pressure in Moist Temperate Forests of the Garhwal Himalaya

This study investigates the intricate dynamics of vegetation composition and ecosystem services in temperate forests, focusing on the influence of elevation, forest types, and anthropogenic pressures on vegetation composition across different strata in moist temperate forests of Chamoli District, Garhwal Himalaya, Uttarakhand, India. Spanning an altitudinal range of 1500-3000 m asl. Species richness varied from 5 to 33 across forest types, with Shannon and Simpson diversity indices ranging from 1.38-2.81 and 0.69-0.93 for trees, 1.54-3.98 and 0.71-0.90 for shrubs, and 2.23-3.43 and 0.88-0.96 for herbs, respectively. Mixed broad-leaved forest (FT5) had the highest tree density (1450 ind ha⁻¹), while mainly Quercus semecarpifolia forest (FT10) recorded the largest basal area (116.36 m² ha⁻¹). Local communities depend on these forests for fuelwood, fodder, non-timber forest products (NTFPs), and medicinal plants. However, widespread anthropogenic disturbances, including lopping and stump extraction, were observed, with an average disturbance index of 10.60%. Mixed broad-leaved forest (FT4) experienced the highest disturbance (18.18%), while Quercus floribunda forest (FT9) had the lowest (6.45%). Lopping intensity was highest (29.73%) in Mixed Quercus leucotrichophora forest (FT1) and lowest (7.28%) in Mainly Abies pindrow forest (FT7). The findings highlight significant biodiversity in the region, but also substantial anthropogenic pressure, especially near settlements. The study emphasizes the urgent need for targeted conservation measures and sustainable management strategies to balance community reliance on forest resources with the preservation of forest health and ecosystem services.

Effects of weed management on soil metagenomic composition in cultivated chickpea fields

Abstract Non-chemical methods, including mechanical and manual weed management are important for improving crop yields and preserving soil microbial diversity. In Tunisia, chickpea cultivation uses a combination of these methods to suppress weeds. This study aimed to evaluate the impact of weeding practices on chickpea (Cicer arietinum L. cultivar REBHA) yield and soil microbial diversity. Field experiments were conducted at the Technical Center for Biological Agriculture in Essaida, Tunisia, using six plots with manual and no weeding treatments. Chickpea yield was measured, and soil samples were collected for metagenomic analysis. Floristic surveys identified 13 weed species, with Chenopodium album L., Rumex acetosa L., and Urtica dioica L. being the most dominant. Seed yield ranged from 23.2 to 26.2 qls/ha in non-weeded plots and from 25.1 to 30.1 qls/ha in weeded plots, showing an increase in yield (11.75%) with manual weeding.&amp;#xD;Soil metagenomics revealed changes in bacterial community composition between the two treatments. The dominant phylum was Pseudomonadota, whose relative abundance increased from 24.88% in non-weeded plots to 34.76% in weeded plots. Alpha diversity indices showed lower species richness and diversity in weeded soils, with 62000 OTUs in weeded plots compared to 43202 OTUs in non-weeded plots. Betaproteobacteria and Alphaproteobacteria exhibited higher OTU counts in weeded soils. The Simpson diversity index was lower in non-weeded soils (0.025) than in weeded soils (0.075), indicating a more irregular microbial distribution in non-weeded plots. Thus, manual weeding improved chickpea yield and altered the soil bacterial community, increasing diversity in key microbial taxa. This study highlights the complex interaction between weed management practices and soil microbial ecosystems, which may influence crop productivity.

Understanding Crop Diversification Among Smallholder Farmers: Socioeconomic Insights from Central Malawi

In Eastern and Southern Africa (ESA), smallholder rain-fed systems are vital, yet they are challenged by land degradation, soil fertility decline, and climate risks. To address these challenges, crop diversification has been promoted as a potential pathway to enhance productivity, improve nutritional security, and offer a viable pathway out of poverty and hunger. This study explores crop diversification among 150 smallholder households in the Kasungu, Mchinji, and Lilongwe districts of Malawi, where the project Sustainable Intensification of Maize Legume Systems in East and Southern Africa (SIMLESA) has engaged the smallholder farmers in conservation agriculture (CA)-based sustainable intensification participatory research and development for seven years since 2010. This study used Simpson’s diversity index (SDI) to estimate crop diversification, and a multiple linear regression model (MLRM) to analyze how smallholder farmers’ socio-economic characteristics influence adoption. The findings show a prevalence of small farms of less than 1.5 hectares, with most farmers perceiving crop diversification as beneficial for soil fertility. Key adoption constraints include labor shortages and a lack of legume seeds. SIMLESA participants lead in crop rotations, with a 63% higher adoption rate, and show the highest crop diversity, with a 99% increase in farmers growing three crops and a 74% increase in those growing four crops compared to non-SIMLESA farmers. The SDI values were 0.39 for non-SIMLESA, 0.48 for SIMLESA neighbors, and 0.57 for SIMLESA participants. Access to NGO inputs, larger farm sizes, and participation in research programs were positively associated with diversification, while food insufficiency was negatively associated with its adoption. The study highlights the importance of integrating participatory research methods to promote development initiatives effectively.

Microbiome of the Middle Meatus, Tonsils, and Adenoids in Pediatric Chronic Rhinosinusitis.

Pediatric chronic rhinosinusitis (PCRS) is a common condition with a significant impact on quality of life. This study compares the microbiome of pediatric patients with and without chronic rhinosinusitis. Single-center, prospective, quantitative case-control. Metropolitan. Patients undergoing adenoidectomy for PCRS (subjects, n = 20) or obstructive sleep apnea (controls, n = 20) were recruited. 16S ribosomal RNA sequencing was performed on the right middle meatus (MM), adenoid, and palatine tonsil samples from each patient. Alpha diversity was measured by the Simpson's diversity index, beta diversity was measured by the Bray-Curtis dissimilarity index, and the differential abundance of bacteria genera was analyzed. There were 40 adenoid, 40 tonsil, and 37 MM samples analyzed. There was no significant difference in alpha diversity between controls and subjects. Tonsils were significantly more diverse than the adenoids, which were more diverse than the MM (P < .001). There was no difference in bacterial composition between controls and subjects, but the composition of the 3 sites were significantly different (P < .001). The dissimilarity in bacterial composition between the adenoid and MM sites was larger in the control group than in the subject group. There were significant differences in alpha diversity and bacterial composition between the anatomic 3 sites; however, there was no difference between the controls and subjects. The larger dissimilarity in bacterial composition between adenoid and MM sites in controls compared to subjects suggests there may be colonization of the MM by the adenoid in PCRS patients.

Diversity Patterns of Plant Communities along an Elevational Gradient in Arid and Semi-Arid Mountain Ecosystems in China

Quantitative classification and ordination are instrumental in improving our understanding of plant community patterns and facilitating effective conservation efforts in national mountain ecosystems worldwide. However, there has been a lack of relevant research focused on arid and semi-arid mountain ecosystems. This study aims to address this gap by investigating the Ningxia Helan Mountain National Nature Reserve (located in Northwest China). We conducted a comprehensive study on the patterns of plant communities and their association with environmental factors across a broad elevation range from 1200 m a.s.l. to 2600 m a.s.l. Our findings revealed the presence of 121 angiosperm species across 41 families, with vegetation classified into six distinct groups through two-way indicator species analysis (TWINSPAN) along the elevational gradient. Notably, the communities of Ulmus, Prunus, and Stipa in the middle elevation range exhibited the highest Shannon–Wiener (SW) and Simpson (SN) diversity indices, and these indices followed a single-peak pattern with increasing elevation. Canonical correspondence analysis (CCA) further revealed six distinct yet interrelated plant communities, revealing elevation (ELE) and the biological aridity index (BK) as the most influential environmental factors influencing plant communities’ distribution. This understanding is critically important for biodiversity conservation and the management of ecosystems in arid and semi-arid mountain ecosystems.