Background: A survey of the understory bryophytes in the Nectandra Cloud Forest Preserve yielded 1083 specimens distributed among 55 families, represented by 74 genera of mosses, 75 genera of liverworts and 3 of hornworts. We studied and analyzed the bryophytic distribution on six types of substrates: 1) corticolous, 2) epiphyllous, 3) saxicolous, 4) terricolous, 5) aquatic and 6) lignicolous. The richness and composition of bryophyte genera are compared to those of other previous bryophyte surveys from 4 other sites with different oceanic exposures, climatic and geographic conditions in Costa Rica.
New Information: This is a report of the first extensive general survey of bryophytes at the Nectandra Reserve, a premontane cloud forest located on the Atlantic slope of Costa Rica, an area much less studied compared to the Monteverde cloud forest on the Pacific slope.
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http://dx.doi.org/10.3897/BDJ.5.e11778 | DOI Listing |
Sci Total Environ
January 2025
Graduate Program in Biodiversity and Nature Conservation, Federal University of Juiz de Fora (UFJF), Minas Gerais State, Brazil; Plant Ecology Laboratory, Department of Botany, Federal University of Juiz de Fora, Juiz de Fora (UFJF), Minas Gerais State, Brazil. Electronic address:
Research about patterns of aboveground carbon stock (AGC) across different tropical forest types is central to climate change mitigation efforts. However, the aboveground carbon stock (AGC) quantification for Brazilian cloud forest ecosystems along the altitudinal gradient is still scarce. We aimed to evaluate the effects of abiotic and biotic on AGC and the AGC distribution between species and families of tree communities along an altitudinal Brazilian Atlantic cloud forest gradient of the Mantiqueira Mountain Range, Southeastern Brazil.
View Article and Find Full Text PDFNeural Netw
January 2025
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China. Electronic address:
Smoke is a critical indicator of forest fires, often detectable before flames ignite. Accurate smoke identification in remote sensing images is vital for effective forest fire monitoring within Internet of Things (IoT) systems. However, existing detection methods frequently falter in complex real-world scenarios, where variable smoke shapes and sizes, intricate backgrounds, and smoke-like phenomena (e.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
Department of Civil Engineering, APTL, Centre for Environmental Science and Engineering (CESE), IIT Kanpur, Kanpur, 208016, UP, India.
Dicarboxylic acids (DCAs), with their deliquescence and hygroscopic nature, can function as cloud condensation nuclei (CCN) and ice nuclei (IN), affecting rainfall patterns. DCA analysis can serve as organic molecular markers for anthropogenic and biogenic sources. Very few studies deal with the optimization of the protocol for qualitative and quantitative analysis of DCAs using gas chromatography-mass spectrometry (GC-MS).
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
Universidad Nacional de Córdoba - Facultad de Ciencias Agropecuarias, X5000HUA, Córdoba, Argentina.
Landscape metrics (LM) play a crucial role in fields such as urban planning, ecology, and environmental research, providing insights into the ecological and functional dynamics of ecosystems. However, in dynamic systems, generating thematic maps for LM analysis poses challenges due to the substantial data volume required and issues such as cloud cover interruptions. The aim of this study was to compare the accuracy of land cover maps produced by three temporal aggregation methods: median reflectance, maximum normalised difference vegetation index (NDVI), and a two-date image stack using Sentinel-2 (S2) and then to analyse their implications for LM calculation.
View Article and Find Full Text PDFSci Rep
January 2025
Center for Geophysical Survey, China Geological Survey, Langfang, 065000, China.
Accurate information on the distribution of regional black-soil resource is one of the important elements for the sustainable management of soils. And its results can provide decision makers with robust data that can be translated into better decision making. This study utilized all Sentinel-2 images covering the study area from April to July in 2022.
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