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Biosphere

Biosphere is an international, peer-reviewed, open access journal on ecosystems published quarterly online by MDPI.

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All Articles (22)

  • Article
  • Open Access

Many Neotropical parrots are threatened or in danger of extinction due to exploitation and habitat destruction, but mitigating impacts is difficult because key components of their ecology, such as home range sizes, seasonal movements, effective population sizes, and dispersal patterns are not well-understood. We used non-invasive genetic sampling of feathers to evaluate the genetic diversity, population genetic structure, and the effective population size of Red-and-green Macaw (Ara chloropterus) and Scarlet Macaw (Ara macao) in intact rainforest in Peru. We sampled macaws from three to four locations across the Peruvian Amazon and generated genetic data for 12 nuclear microsatellite loci and 381 bp of the mitochondrial control region. Diversity was high across intact habitat for both macaws but was higher for Scarlet Macaw than for Red-and-green Macaw (He = 0.78 vs. 0.56, p = 0.0762; A = 5.6 vs. 3.9, p = 0.0256). For each species, Bayesian clustering analyses gave the greatest support for K = 1, suggesting one genetic group across the areas sampled. Pairwise FST values were low and not significantly different from zero, suggesting high gene flow across the region. Scarlet Macaws had higher overall FST values than Red-and-green Macaws, and more loci with differentiated allele frequencies, indicating that Scarlet Macaws may have more restricted gene flow than Red-and-green Macaws. Effective population size estimates for Scarlet Macaws were three to five times larger than for Red-and-green Macaws. These data provide baseline information on genetic diversity and population structure of macaws in intact habitat and can be used to inform conservation planning and as a reference to determine effects of human activities on macaw populations in Peru and throughout the Amazon Basin.

Biosphere

2 November 2026

Map of Peru showing the extent of the Amazon rainforest, three cities (Lima, Iquitos, and Puerto Maldonado) as landmarks, and the four sampling locations. The distribution of Red-and-green Macaws and Scarlet Macaws is suggested to be throughout the shaded region, which corresponds to the Amazon rainforest in Peru; however, fine-scale distribution mapping is unavailable. The black shading in the lower panel shows the location of Peru in South America.
  • Article
  • Open Access

Spatiotemporal Assessment of Urbanization Impacts on Land Surface Temperature and Urban Heat Island Effect in Tuticorin

  • Perumal Velmayil,
  • Prabakaran Kulandaisamy and
  • Vijaya Tarshini Vallinayagam
  • + 5 authors

This study investigates the effects of rapid urban development on changes in Land Surface Temperatures (LSTs) in the Tuticorin district of Tamil Nadu, India, and their relationship with Land Use/Land Cover (LULC) between 1998 and 2024. The population growth pattern was assessed using satellite image analysis of the Landsat dataset with GIS technology, based on Land Surface Emissivity (LSE), LST and NDVI. LST values increased throughout the district, with an approximate average rise of 5 °F and 1.1 °F within the study period. In some regions, the maximum increase recorded is as high as 5 °C. In all cases in 2024, the minimum recorded LST value was 39.5 °C. For instance, the NDVI ranged from 0.56 to 0.67 in 1998, decreasing to 0.25–0.51 in 2024. The vegetation cover declined as LST increased. The shift from vegetative and agricultural areas to built-up areas changed the LSE values from 0.52–1.00 (1998–2010) to 0.84–0.99 (2012–2024). The increase in the number of people in urbanised areas from 1,556,000 in 1998 to 1,960,000 in 2024 is attributed to industrial activities, increased construction, and pollution from the development of impervious surfaces. It is important to note this. As thermal industries increasingly burn coal, the urban heat island (UHI) effect is intensified. Lower LST values occur in the vegetative and agricultural areas in the southern part of the Thamirabarani River. This implies that urban expansion, forest clearing, and the loss of green spaces urgently require measures to mitigate city heat in slow-paced cities.

Biosphere

26 October 2026

The study area map.
  • Article
  • Open Access

Habitat fragmentation and human direct intervention in river morphology and hydrology has become one of the severe issues of fluvial ecosystems within the Balkan Peninsula. Thus, it is critical to research and protect native eel habitats. The Balkans are home to some of the few remaining large, near-natural rivers in Europe. This study presents a comprehensive, spatial assessment of freshwater components’ biogeographical patterns across the Vjosa/Aoos transboundary river between Greece and Albania with regard to ecological connectivity using newly compiled distribution data derived from appropriate modeling, covering the Albanian part of the basin. Using biodiversity data as a case study, this research aims to provide a series of recommendations that may be helpful for managers of an aquatic protected area. A novel dendritic connectedness index (DCI) has been computed for the main river channel and its tributaries, and the thorough technique utilized in this study to model species distribution using Maxent aims to identify suitable habitats for the target species. In order to provide evidence-based information for water management decisions, we connect study findings to pertinent laws and references. To ensure the Vjosa/Aoos’ exceptional conservation value, we demand its serious protection.

Biosphere

20 October 2026

The location of the study area.
  • Article
  • Open Access

Land degradation in dryland regions is strongly influenced by climate variability and limited water availability. However, long-term relationships between climate drivers and vegetation dynamics remain poorly understood in many dryland regions of Iraq. This study investigates the influence of precipitation and land surface temperature (LST) on vegetation dynamics and land degradation in Najaf Governorate using 22 years of satellite observations (2001–2022), climate datasets, and land cover-specific analyses. The NDVI from MODIS, precipitation from CHIRPS, and LST from MODIS were used and validated with ground-based meteorological stations. The Aridity Index (AI) was calculated to characterize regional dryness, confirming that Najaf remains arid. Climate–vegetation relationships were evaluated at the regional scale, across 64 sampling points, and among ten land cover classes using 448 ground truth points. Results show that precipitation had a weak but detectable relationship with NDVI at the regional scale (R = 0.25), while LST showed a weak negative relationship with NDVI (R = −0.30), mainly reflecting seasonal differences between vegetation growth and temperature conditions rather than direct thermal limitation. However, land cover-specific analysis revealed stronger responses: palm showed a positive response to precipitation (R = 0.35), irrigated cropland showed strong sensitivity to LST (R = −0.85), and shrubland showed a weak precipitation response (R = 0.23). Partial correlation analysis confirmed that precipitation had significant independent effects on palm (R = 0.61) and shrubland (R = 0.48), whereas LST showed significant relationships mainly with water bodies (R = 0.87) and shrubland (R = 0.44). These results indicate that precipitation is the dominant climatic control on vegetation variability in Najaf, while LST effects are spatially variable and mainly dependent on land cover characteristics. This study provides a long-term assessment of climate–NDVI relationships in a dry environment and establishes a baseline for understanding climate-driven land degradation under increasing water limitations.

Biosphere

12 October 2026

The study area location map. The red polygon shows the boundary of Najaf Governorate. The yellow line indicates the Iraq national boundary.

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Biosphere - ISSN 3042-6111