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

Mapping alpha diversity of plant species using scale effects of remote sensing DOI Creative Commons
Xingchen Yang, Shaogang Lei,

Jun Xu

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 102993 - 102993

Published: Jan. 1, 2025

Language: Английский

Citations

1

Fuzzy approaches provide improved spatial detection of coastal dune EU habitats DOI Creative Commons
Emilia Pafumi,

Claudia Angiolini,

Giovanni Bacaro

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103059 - 103059

Published: Jan. 1, 2025

Language: Английский

Citations

1

Assessment of mangrove health using the improved C-V-O-R model: A species-scale perspective DOI Creative Commons
Jiaojiao Ma, Junjie Wang,

Chunyi Zheng

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113225 - 113225

Published: Feb. 1, 2025

Language: Английский

Citations

1

Improved mangrove α-diversity estimation by coupling multispectral satellite images, canopy traits and soil properties DOI

Zongzhu Chen,

Xiaoyan Pan,

Tingtian Wu

et al.

CATENA, Journal Year: 2025, Volume and Issue: 251, P. 108813 - 108813

Published: Feb. 16, 2025

Language: Английский

Citations

0

Assessing ecosystem services in protected areas: trade-offs and hotspots in Friuli Venezia Giulia region (northeastern Italy) DOI
Valentina Olmo, Francesco Petruzzellis, Giorgio Alberti

et al.

Biodiversity, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14

Published: Feb. 18, 2025

Language: Английский

Citations

0

Assessing eco-physiological patterns of Ailanthus altissima (Mill.) Swingle and differences with native vegetation using Copernicus satellite data on a Mediterranean Island DOI Creative Commons
Flavio Marzialetti, Vanessa Lozano, André Große‐Stoltenberg

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103080 - 103080

Published: Feb. 1, 2025

Language: Английский

Citations

0

Environmental Heterogeneity Drives Secondary Metabolite Diversity from Mesquite Pods in Semiarid Regions DOI Creative Commons
Alfredo Esparza-Orozco,

Liliana Carranza-Becerra,

Lucía Delgadillo-Ruiz

et al.

Ecologies, Journal Year: 2025, Volume and Issue: 6(1), P. 19 - 19

Published: Feb. 27, 2025

Secondary metabolites (SM) in plants play crucial pharmacological, ecological, and nutritional roles for humans, wildlife, livestock. Environmental Heterogeneity (EH) encompasses the variability of biotic abiotic factors that influence biological responses plant species. Advancements remote sensing have enhanced ability to assess functional traits more affordably comprehensively by integrating spectral reflectance data with detailed metabolomics. However, studies investigating relationship between EH—quantified using Rao’s Q heterogeneity index from data—and SM diversity remain limited. Here, we present first report demonstrating component EH, measured as Q, is positively associated mesquite pod extracts—higher values correspond greater diversity. Generalized additive models (GAMs) revealed contributed most explanatory power, accounting 21.2% deviance, compared weight (13.7%) length (2.03%). only was statistically significant (p = 0.029). The derived serves a scalable proxy identifying hotspots, facilitating targeted discovery regions high pharmacological or value.

Language: Английский

Citations

0

Powerful flowers: Public perception of grassland aesthetics is strongly related to management and biodiversity DOI Open Access
Valentin H. Klaus, Nathan Fox, Franziska Richter

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 28, 2025

Abstract Temperate grasslands provide various cultural ecosystem services that are appreciated in diverse ways. Capturing these appreciations requires different methodological approaches, such as questionnaire surveys and social media analyses. In this study, we combined the potential of both approaches to capture two aspects what people appreciate agricultural grasslands, i.e., aesthetic quality differently managed plant communities objects frequently found grassland-based images. The complementary showed preferred colourful flower- species-rich over grass-dominated fertilised swards. Social analysis highlighted mainly photographed flowers, followed by livestock and/or wildlife, but depended also on platform used. conclusion, people’s appreciation was clearly related intensity grassland management level biodiversity, with a preference for extensively flowers wildlife. Yet, significant differences between (i) conservationists professionals communities, (ii) common visitors naturalists their content. Our results suggest extensive ecological restoration can be used increase enhancing richness forbs, other attractive Thus, targeted is necessary maintain enhance attractiveness landscapes subsequently health benefits associated human-nature contacts.

Language: Английский

Citations

0

Coupling in situ and remote sensing data to assess α‐ and β‐diversity over biogeographic gradients DOI Creative Commons
Maxime Lenormand, Jean‐Baptiste Féret, Guillaume Papuga

et al.

Ecography, Journal Year: 2025, Volume and Issue: unknown

Published: March 28, 2025

The mapping of plant biodiversity represents a fundamental stage in establishing conservation priorities, particularly identifying groups species that share ecological requirements or evolutionary histories. This is often achieved by assessing different spatial diversity patterns population distributions. In this paper, we present two primary data sources crucial for monitoring: situ measurements from botanical observations and remote sensing (RS). methods involve directly collecting specific sites, providing detailed insights into but constrained resource limitations. Integrating RS highlights their complementary strengths, which depend on factors such as study scale, resolution, logistical feasibility. While approaches are characterized precision, offers efficiency extensive, repeated coverage. research integrates to analyze spectral across France at resolution 5 km, encompassing over 23 000 grid cells. We employ four established metrics leveraging the distribution 6650 250 clusters (derived MODIS 500‐m resolution). Through bioregionalization network analysis combining these sources, identified five distinct bioregions capture biogeographical structure France. Additionally, explore relationship between cluster within bioregions, offering novel dynamics biodiversity.

Language: Английский

Citations

0

UAV-derived models of vegetation characteristics do not transfer to extreme drought and wet conditions across a northern Arizona landscape DOI Creative Commons
Ryan C. Blackburn, Ginger Allington,

Nicole Motzer

et al.

Landscape Ecology, Journal Year: 2025, Volume and Issue: 40(3)

Published: March 7, 2025

Language: Английский

Citations

0