Landscape diversity mapping allows assessment of the hemeroby of bird species in a modern industrial metropolis DOI Creative Commons

O. Ponomarenko,

Y. Komlyk,

H. Tutova

et al.

Biosystems Diversity, Journal Year: 2024, Volume and Issue: 32(4)

Published: Nov. 5, 2024

The article proposes a methodology for identifying the hemeroby of avifauna inhabiting contemporary industrial metropolis. Landsat 8-9 OLI/TIRS satellite image city Dnipro (Ukraine) dated 14 July 2024 was employed further analysis. classification land cover types performed in SAGA-9 without training using k-means procedure. on basis geospatial layers represented by spectral indices and road network density. For each cluster, average value level calculated, which rounded to whole used as an indicator that is typical respective type. values were extracted from data layer obtained landscape metrics at points bird species encounters. mean standard deviation during encounters calculated based obtained. These considered indicators their tolerance hemeroby. surface temperature within exhibited range 29.4 33.6 °C. highest temperatures recorded centre eastern northern districts, with lowest observed region. principal component analysis enabled extraction three components eigenvalues exceeding one. Principal 1 positive correlation indicate anthropogenic surfaces negative are sensitive vegetation density, moisture rock or soil composition. Therefore, c omponent can be interpreted meaningful manner aspect induced decrease due increase presence objects. 2 found positively correlated surfaces, well This related thermal pollution. most significant 3 all primary associated hemeroby, integrated calculated. procedure, yielded 20 one additional category representing water bodies. birds considerable variation, ranging 15 89. classified into following categories extent ahemerobic group comprised species, oligohemerobic 11, mesohemerobic 8, beta-euhemerobic alpha-euhemerobic 10, polyhemerobic 9 metahemerobic 5. stenotopic comprises 30 mesotopic 17 eurytopic 19 birds. In case 34 fauna Dnipro, estimates have been European score, Eur o pean avifauna. A statistically between scores score.

Language: Английский

From calamity to infestation: linking windstorm tree damage to bark beetle outbreak through forest structure and meteorological analysis DOI Open Access
Michele Torresani, Roberto Tognetti

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 9, 2024

Abstract In recent years, we have witnessed worldwide, an increase in natural forest disturbances, particularly windstorms, which caused significant direct and indirect damages, often triggering largescale bark beetle outbreaks. this study, investigated the interaction between windstorm-induced tree damage subsequent outbreaks northeastern Italian Alps (Province of Belluno Bolzano), focusing on 2018 Vaia windstorm successive infestation started 2021. Additionally, aimed to determine whether potential correlation is influenced by structural characteristics such as height heterogeneity (HH), density, mean using LiDAR data, or meteorological factors (mean temperature cumulative precipitation) through in-situ spatialized information. Our research findings, based a methodology centered spatial interactions, indicate link event occurred three years before. results suggest that variables are, most cases, significantly similar across all areas affected beetle. This similarity observed both forests impacted other Picea abies not windstorm, indicating these may be trigger for outbreak. findings do show clear consistently difference conditions. variability can attributed specific are predominantly mountainous regions characterized distinct temperatures precipitation compared rest provinces. When analyzing combined influence study areas, our none were ultimately predictors infestations windstorm. suggests that, climate change increases frequency severity adaptable management framework enhance resilience sustainability needed, helping better withstand recover from future disturbances.

Language: Английский

Citations

0

Monitoring Vegetation as Habitat (Paradisaea minor jobiensis Rothschild, 1879) in the Period 2024, 2018, and 2024 to Support Birdwatching Ecotourism in Barawai Yapen Islands Regency Papua DOI Open Access
Edoward Krisson Raunsay, Basa T. Rumahorbo,

Apriani Herni Rophi

et al.

Jurnal Penelitian Pendidikan IPA, Journal Year: 2024, Volume and Issue: 10(12), P. 10699 - 10719

Published: Dec. 28, 2024

Imbowiari Forest in Barawai Village, Yapen, Papua, has complex flora and fauna biodiversity, including as a habitat for Paradisaea minor jobiensis. In especially the Yapen Islands Regency, endemic species such jobiensis are main attraction tourists. Managed by community through local wisdom Dorey Jaya group, this area potential to be developed birdwatching ecotourism. However, it not been widely popular with This study aims analyze changes vegetation of bird's three periods (2014, 2018, 2024) provide recommendations ecotourism management Barawai. Vegetation structure composition data were collected using grid line method analyzed PAST software. The results showed an increase number at all levels, seedlings (21 2014 72 2024), saplings (27 64), poles (26 76), trees (41 96). individuals also increased significantly, on poles. diversity index increased, tree level (2.78 4.07). indicates overall vegetation, optimizing based biodiversity wisdom.

Language: Английский

Citations

0

Landscape diversity mapping allows assessment of the hemeroby of bird species in a modern industrial metropolis DOI Creative Commons

O. Ponomarenko,

Y. Komlyk,

H. Tutova

et al.

Biosystems Diversity, Journal Year: 2024, Volume and Issue: 32(4)

Published: Nov. 5, 2024

The article proposes a methodology for identifying the hemeroby of avifauna inhabiting contemporary industrial metropolis. Landsat 8-9 OLI/TIRS satellite image city Dnipro (Ukraine) dated 14 July 2024 was employed further analysis. classification land cover types performed in SAGA-9 without training using k-means procedure. on basis geospatial layers represented by spectral indices and road network density. For each cluster, average value level calculated, which rounded to whole used as an indicator that is typical respective type. values were extracted from data layer obtained landscape metrics at points bird species encounters. mean standard deviation during encounters calculated based obtained. These considered indicators their tolerance hemeroby. surface temperature within exhibited range 29.4 33.6 °C. highest temperatures recorded centre eastern northern districts, with lowest observed region. principal component analysis enabled extraction three components eigenvalues exceeding one. Principal 1 positive correlation indicate anthropogenic surfaces negative are sensitive vegetation density, moisture rock or soil composition. Therefore, c omponent can be interpreted meaningful manner aspect induced decrease due increase presence objects. 2 found positively correlated surfaces, well This related thermal pollution. most significant 3 all primary associated hemeroby, integrated calculated. procedure, yielded 20 one additional category representing water bodies. birds considerable variation, ranging 15 89. classified into following categories extent ahemerobic group comprised species, oligohemerobic 11, mesohemerobic 8, beta-euhemerobic alpha-euhemerobic 10, polyhemerobic 9 metahemerobic 5. stenotopic comprises 30 mesotopic 17 eurytopic 19 birds. In case 34 fauna Dnipro, estimates have been European score, Eur o pean avifauna. A statistically between scores score.

Language: Английский

Citations

0