Search Results (458)

Remote sensing contributes to characterizing forest structure across heterogeneous tropical regions, yet structural parameters used to compare Atlantic Forest phytophysiognomies remain limited, especially in fragmented landscapes affected by multiple drivers of forest loss and degradation. This study used Global Ecosystem Dynamics Investigation (GEDI) data to compare the structure of old-growth candidate forest polygons in four Brazilian Atlantic Forest phytophysiognomies: Dense Ombrophilous Forest (DOF), Mixed Ombrophilous Forest (MOF), Seasonal Semideciduous Forest (SSdF), and Seasonal Deciduous Forest (SDF). We analyzed canopy height (H), canopy cover (COVER), foliage height diversity (FHD), plant area index (PAI), and aboveground biomass density (AGBD) from GEDI L2B and L4A footprints acquired between 2019 and 2024. Structural differences among phytophysiognomies were significant for all variables (Kruskal–Wallis, p < 0.001), with small-to-moderate effect sizes (ε² ≈ 0.05–0.15). The strongest pairwise contrasts occurred for SDF–SSdF and SSdF–DOF, whereas MOF showed greater overlap with the other groups. Across variables, AGBD and H were the most consistent discriminators, and polygon-level summaries strengthened among-group separation. These findings show that GEDI-derived polygon-level metrics can support regional comparisons of forest structure among Atlantic Forest phytophysiognomies and help identify the strongest contrasts in fragmented landscapes. Full article

Three biodiversity knowledge gaps, known as the Linnaean, Wallacean, and Darwinian shortfalls, limit our ability to model biodiversity, assess extinction risk, and understand evolutionary patterns. These shortfalls are particularly severe for insects, which remain comparatively overlooked in science and conservation relative to plants and vertebrates. Here, we investigated the patterns of these knowledge gaps for 3567 Brazilian butterfly species. Our models suggest that Brazilian butterfly diversity may reach approximately 4200 species, indicating that more than 600 species likely remain undescribed and that, at current description rates, documenting this diversity could take several decades. Spatial analyses showed high bias in occurrence records, with large portions of the country lacking occurrence records and most sampled communities with low sampling completeness. Model predictions revealed high estimated richness in the south-eastern Atlantic Forest, western Amazon Rainforest, and parts of the Cerrado. In addition, more than half of all species lack publicly available genetic data, potentially limiting their inclusion in phylogenetic studies. Our results reveal that substantial knowledge gaps persist even for one of the most intensively studied insect groups and highlight key priorities for future taxonomic, sampling, and molecular efforts aimed at improving our understanding and conservation of Brazilian butterfly diversity. Full article

The genus Xylaria (Xylariaceae, Ascomycota) comprises a morphologically and ecologically diverse group of fungi with a predominantly saprobic lifestyle, widely distributed in forest ecosystems worldwide. Despite its global occurrence, its diversity in European Atlantic laurel forests (laurisilva), both insular and continental, remains poorly understood. In this study, we examined more than 80 collections of Xylaria from laurisilva forests in Madeira and the Azores (Portugal), the Canary Islands (Spain), and relict laurel woodlands in mainland Iberia, documenting at least 13 species. Several collections could not be successfully sequenced, suggesting that additional taxa may occur. Among the identified species, eight are described here as new to science and are supported by morphological differences and multilocus phylogenetic analyses. Species delimitation was based on an integrative approach combining detailed morphological observations with phylogenetic inference from ITS, LSU, RPB2, and TUB2 loci. Our results reveal a substantially higher diversity of Xylaria in these ecosystems than previously recognized and confirm the importance of multilocus frameworks for resolving species boundaries, particularly in morphologically cryptic lineages. This study expands the known diversity of Xylaria in Europe and identifies Atlantic laurel forests as important reservoirs of fungal diversity and evolutionary novelty. Full article

This study aimed to identify the volatile organic compounds (VOCs) present in the essential oil (EO) of Schinus lentiscifolia and to evaluate the effect of chitosan coatings (1%) enriched with EO of S. lentiscifolia (1000, 2000, and 4000 mg L⁻¹) on the control of Penicillium sp. and on the quality of ‘Fuji’ apples. The EO was extracted from S. lentiscifolia collected in the municipality of Lages, Santa Catarina State, Brazil, in March, May, and November 2022. The antifungal activity of S. lentiscifolia EO against Penicillium sp. was evaluated in vitro. Apples were stored under refrigerated conditions (0 ± 0.5 °C; 90 ± 5% RH) for 30 days and subsequently under ambient conditions (23 ± 3 °C; 70 ± 5% RH) for 5 days. A total of 14 VOCs were identified in the EO of S. lentiscifolia, with the monoterpenes β-pinene (34.68%) and α-pinene (30.61%) as the major compounds, followed by γ-terpinene (10.13%), camphene (9.66%), and o-cymene (7.14%). The application of chitosan coating with S. lentiscifolia EO (2000 mg L⁻¹) reduced the severity of blue mold in ‘Fuji’ apples by 88.1% during refrigerated storage and by 69.2% under ambient conditions. Ethylene production by the apples was also reduced when treated with chitosan and EO. No influence of the treatments was observed on fruit quality attributes. The postharvest application of chitosan coatings combined with S. lentiscifolia EO reduces disease caused by Penicillium sp. in ‘Fuji’ apples without affecting fruit quality. Full article

Microbial pigments are secondary metabolites that represent promising alternatives to synthetic colorants, offering advantages even over other natural sources. These pigments can be produced independently of seasonality and at low cost, especially when using agro-industrial residues as substrates, and their production can be optimized. Bioprospecting of microorganisms in unexplored environments offers valuable opportunities to discover safer and more efficient pigment producers. Brazil harbors vast biodiversity across multiple biomes, providing a rich reservoir for such discoveries. Biomes such as the Atlantic Forest, Pampa, Pantanal and Coastal Marine are still poorly explored with respect to the bioprospecting of pigment-producing microorganisms, representing a valuable opportunity for the discovery of novel pigments. However, several bottlenecks still hinder the regulatory approval of microbial pigments, particularly those produced by filamentous fungi, due to the frequent co-production of mycotoxins. To overcome these challenges, genetic engineering tools are crucial for eliminating mycotoxin co-production. CRISPR-Cas9, CRISPRi and CRISPR-Cpf1 have become the most widely used techniques for this purpose. Another key application of CRISPR is the enhancement of pigment yields, which can accelerate the industrial adoption of microbial pigments. Together, these two strategies, bioprospecting new environments and genetic engineering, can significantly speed up the transition from synthetic pigments to safer and more eco-friendly microbial alternatives. Full article

The long-term effects of agricultural management systems (AMS) on soil physical properties and water infiltration in tropical Ferralsols remain incompletely understood. We assessed steady-state infiltration rates and soil physical properties in a Ferralsol after 20 years under five AMS in a Cerrado–Atlantic Forest transition area in Brazil: no-tillage (NT), conventional tillage (CT), integrated crop–livestock in crop (CL-C) and livestock (CL-L) phases, and permanent pasture (PP). Soil samples were collected at four depths, and infiltration was measured using the InfiAsper simulator at 60 mm h⁻¹. Integrated systems showed the best topsoil (0–0.05 m) physical condition, with higher macroporosity, aggregate stability, and organic carbon than NT and CT. Surface bulk density under PP was similar to integrated systems; higher bulk density values were observed under NT and CT at 0.10–0.20 m. Steady-state infiltration rates ranged from 26.40 mm h⁻¹ (PP) to 54.32 mm h⁻¹ (NT), with integrated systems averaging 59% higher than PP. Total SOC stocks (0–0.40 m) were significantly greater under CL-L (92.7 Mg C ha⁻¹) and CL-C (88.1 Mg C ha⁻¹) than PP (73.5 Mg C ha⁻¹; p = 0.004), driven by higher subsoil SOC concentrations under integrated systems; the lower subsoil bulk density under PP partially attenuated its calculated stock. These results demonstrate that integrated crop–livestock systems simultaneously improve soil physical condition, water infiltration, and carbon accumulation per unit land area, supporting sustainable intensification in the Brazilian Cerrado and Atlantic Forest biomes. Full article

Rivulid killifishes are among the most threatened components of freshwater biodiversity in the Brazilian Atlantic Forest, yet their biogeographic patterns remain poorly documented. This study provides the first comprehensive biogeographic assessment for rivulids across the Southeastern and Eastern Atlantic basins of Brazil. We compiled distribution records for 54 species, analyzing patterns of endemism, similarity between hydrographic regions, and sampling coverage. Our results reveal patterns of hyper-endemism, with 31 species (57.4%) restricted to single basins and a highly aggregated distribution. Faunal similarity between regions was negligible, indicating strong historical isolation, with only 3.7% of species shared between the Eastern and Southeastern Atlantic basins. Seventeen bioregions were delimited across the study area, with minimal faunal overlap. We identified that 50.0% of basins lack any rivulid records, despite the region having been extensively sampled for more than 150 years (including since the Thayer Expedition of 1865–1866). This study area contains the highest concentration of research institutions in Brazil, suggesting that the absence of records reflects genuine absence rather than a sampling artefact. Based on endemism values, we highlight 16 priority basins for urgent conservation management. These findings reveal that small coastal basins harbor a disproportionately high, imperiled, yet overlooked diversity. We argue that effective conservation of this unique evolutionary heritage requires targeted research in unsampled areas, basin-scale management, and expanded protected area mosaics to incorporate these high-endemism micro-basins. Our results provide the biogeographic foundation for evidence-based strategies to prevent the extinction of these fishes. Full article

Global land degradation metrics often rely on trend-based categories that miss cumulative severity, frequently misclassifying degraded areas as stable. To overcome this, we developed a Land Degradation Index (LDI) to assess degradation across Brazil on a 500 m grid for 2001 and 2021. The LDI integrates land-cover change legacy (deforestation age), ecosystem functioning (Gross Primary Productivity), and soil condition (Soil Organic Carbon) into a six-level gradient ranging from conserved to highly degraded. Results reveal that between 2001 and 2021, Brazil lost 50.5 million hectares of conserved land, while intermediate and severe degradation expanded by 53.5 million hectares. Conservation remained concentrated in the Amazon and Pantanal, whereas degradation intensified across the Atlantic Forest, Cerrado, and Caatinga, particularly along agricultural frontiers. Furthermore, while Indigenous Lands and Quilombola Territories act as vital conservation cores, the LDI reveals intensified degradation in their immediate surroundings, highlighting the intersection of biophysical decline, land conflicts, and socio-environmental vulnerability. The proposed index advances beyond conventional indicators, such as SDG 15.3.1, by incorporating both the intensity and variation of degradation processes into a unified analytical framework, providing a robust, reproducible framework to support Land Degradation Neutrality (LDN) targets, inform public policies, and guide inclusive territorial planning. Full article

The Seven-coloured Tanager Tangara fastuosa is a threatened species, with little data available on its reproduction. Between 1987 and 2025, 29 nests were found around the Pedra Talhada Biological Reserve in Quebrangulo, Alagoas, north-eastern Brazil. Nests were cup-shaped, with average external dimensions of 11.0 × 7.3 cm and average internal dimensions of 6.2 × 3.7 cm. They were built at an average height of 5.4 m above ground. Mean clutch size was 2.7 eggs, which measured 20.9 × 15.6 mm, and weighed 2.6 g. Eggs were beige in colour with greenish undertones and were heavily spotted with purple or rusty brown. Average incubation period was 13.8 days, and average nestling period was 15.4 days. Apparent nest success was 51.7%, with predation being the main cause of nest failure. Parents, sometimes assisted by helpers, fed the nestlings with small fruits, fruit pulp, seeds, and various arthropods. Our records provide new information on the reproduction of this species in interior and edge forests. However, forest destruction and capture for the illegal wildlife trade pose a threat to the survival of its populations, both remaining an issue in the study area. Full article

Ants are widely used as bioindicators because of their sensitivity to environmental change and their functional roles in ecosystems. This study presents the first comparative analysis of ant communities in two habitats, an agricultural system and a semi-natural forest, within the Natural Park of Montesinho (northeastern Portugal). From May to October 2022, four plots were sampled per habitat: (i) semi-natural oak forest and (ii) chestnut orchard under human management, using five pitfall traps in each plot. A total of 1969 ants were captured, representing 32 species and 15 genera. Traditional chestnut orchards supported more exclusive species and greater functional diversity, dominated by generalist and thermophilic taxa. In contrast, oak forests hosted more specialist and cold-adapted species, which may reflect a higher structural stability. Seasonal variation was more pronounced in chestnut orchards, consistent with disturbance-driven dynamics. The functional composition also differed: chestnut orchards favoured granivores and scavengers, while oak forests supported predators and mutualists. These findings highlight the value of ant communities as sensitive indicators of land use and ecosystem condition in Mediterranean mountain systems. Full article

Genetic diversity is critical for adaptability and resilience in response to environmental pressures, especially considering that human activities have drastically reduced natural populations. The endemic South American species, Myarcrodruon urundeuva (aroeira, Anacardiaceae), is found in the Caatinga dry forest, Brazilian Savanna, Atlantic Forest, and Pantanal Wetland biomes and has suffered from population reduction due to overexploitation of its wood. This study analyzed the genetic diversity of M. urundeuva across biomes and transition zones in Brazil using ddRADseq sequencing. Samples from 115 individuals and 12 populations were sequenced, generating 1427 informative SNP markers. The average allelic richness was 1227 for the 12 populations, and the inbreeding coefficient (F_is) ranged from 0.001 to 0.196. Notably, the Caatinga dry forest biome populations displayed a highly differentiated cluster. Clustering analysis indicates that genetic diversity patterns from other populations also show distinct population structures with significant differences in its distribution. These findings highlight the need for further research in northeastern Brazil and emphasize the importance of genetic diversity in conservation planning. Therefore, strategies that integrate conservation and molecular analyses are essential to safeguard M. urundeuva’s diversity and adaptability. Full article

The state of São Paulo is home to remnants of the Atlantic Forest and Cerrado biomes, both of which face intense anthropogenic pressure and hight fragmentation. In this context, Environmental Recovery Commitment Agreements (TCRAs) serve as essential instruments for restoring degraded areas and monitoring vegetation recovery over time. This study assesses land use and land cover (LULC) classification performance in TCRA sites by integrating Satellite Image Time Series (SITS) with spectral fractions derived from the Linear Spectral Mixture Model (LSMM), utilizing 2025 Sentinel-2A/2B imagery. Data were organized into spatiotemporal cubes within R environment and classified using the Random Forest algorithm. Model performance was assessed using a confusion matrix and accuracy metrics, including User’s Accuracy (UA), Producer’s Accuracy (PA), F1-score, and Intersection over Union (IoU), as well as spatial analysis of agreement and disagreement between predicted maps and reference data. Results demonstrate high classification precision for vegetation classes, specifically pasture (F1 = 0.91) and forest formations (F1 = 0.87). Primary misclassifications occurred between spectrally similar classes, particularly within small fragments and intermediate regeneration stages. Overall, the integration of SITS and LSMM enhanced class separability by incorporating temporal dynamics and mitigating spectral mixing effects, highlighting its potential as an operational tool for environmental restoration monitoring. Full article

Brazil holds 13% of the global biodiversity; however, agricultural expansion threatens its biomes. Farmers are pivotal for conservation, as 71% of the country’s territory is rural property. A ‘citizen science’ project, which engaged students and farmers to monitor wildlife in forest remnants using camera traps was carried out in a rural municipality located in the Atlantic Forest biome. The endangered species Puma concolor and the invasive species Sus scrofa, alongside other native fauna, were documented in the area. In addition to securing these new records, the project aimed to open dialogs, fight misinformation, and strengthen local partnerships. It highlighted how community-based science can bridge the gap between biodiversity conservation and agricultural production. Full article

The Maceió Metropolitan Region (MMR) has undergone significant changes due to public policies that promote urban growth. This has intensified environmental impacts, adversely affecting local communities. The Remote Sensing Ecological Index (RSEI), a remote sensing-based metric, was used to evaluate ecosystem quality. The study assessed annual ecosystem quality in the MMR, Alagoas, using RSEI values from MODIS data spanning 2000 to March 2024/2025. To ensure data quality and reliable results, all MODIS data underwent rigorous quality control, including the exclusion of pixels affected by cloud cover, shadows, and missing values. Only data points meeting established MODIS quality assurance standards were used. Annual RSEI values varied considerably, from 0.449 in 2005 to 0.636 in 2014. Most areas in the MMR are classified as moderate quality (0.4 < RSEI < 0.6), particularly in central and eastern sectors. The lowest-quality regions (0 < RSEI < 0.4) are concentrated in the east—including Maceió, the hub city—and the west, largely due to high population density. The Sen-Slope Estimator and trend analysis revealed significant trends in the hub city, with positive trends in the northeast. Urban expansion has led to the loss of native vegetation, including sugarcane fields and remnants of the Atlantic Forest. The Pettitt test identified a structural change in 2018, likely linked to environmental violations related to the Braskem petrochemical industry and salt extraction in Maceió. Full article

Misiones, Argentina, holds one of the largest remnants of the Atlantic Forest, with almost 1.4 million hectares of native forest, representing a critical landscape for sustainable biodiversity conservation. However, connectivity across this ecoregion is increasingly threatened by habitat conversion, landscape fragmentation, and poaching pressures that extend beyond protected area boundaries, undermining long-term sustainability of wildlife populations. Using conservation detection dogs, we located, collected, and genetically confirmed 198 scats belonging to four game species: 20 lowland tapir (Tapirus terrestris), 72 white-lipped peccary (Tayassu pecari), 55 collared peccary (Pecari tajacu), and 51 Azara’s agouti (Dasyprocta azarae). Analyses examining species-specific habitat associations emphasized the importance of extending inference beyond point locations to encompass species’ home ranges, with native forest consistently identified as a key component of habitat use. The high prevalence of scats in mosaics of human-modified habitats outside protected areas, especially along their borders, underscores the importance of managing these areas as part of a broader sustainable landscape matrix. While native forest fragments outside of protected areas may serve as important refugia supporting species persistence, their contribution to sustainable management depends on reducing poaching pressure across these landscapes. There is an urgent need to expand antipoaching efforts beyond protected areas and across the Atlantic Forest in the Green Corridor of Misiones while preventing ongoing deforestation and the expansion of monoculture plantations. Achieving sustainable wildlife management in this region will require integrated strategies that promote sustainable land use, conservation planning, and rural development. Full article