LiDAR-based individual tree AGB modeling of Pinus kesiya var. langbianensis by incorporating spatial structure DOI Creative Commons
Zhi Liu,

Xiaoli Zhang,

Yong Wu

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 169, P. 112973 - 112973

Published: Dec. 1, 2024

Language: Английский

Evaluating urban climate resilience in the Yangtze River Delta urban agglomeration: A novel method integrating the DPSIR model and Sustainable Development Goals DOI
Ronghua Yi, Yanan Chen, An Chen

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 376, P. 124517 - 124517

Published: Feb. 18, 2025

Language: Английский

Citations

4

Human–forest interaction of useful plants in the Wof Ayzurish Forest, North Showa Zone, Ethiopia: cultural significance index, conservation, and threats DOI Creative Commons

Yirefu Tefera,

Ermias Lulekal,

Bikila Warkineh

et al.

Journal of Ethnobiology and Ethnomedicine, Journal Year: 2025, Volume and Issue: 21(1)

Published: March 11, 2025

Indigenous communities have historically engaged in harvesting and management practices that significantly influenced the state of forests globally. The Wof Ayzurish Forest community is almost entirely an agricultural society, familiar with native flora, which has been integrated into their culture. Due to that, local relied on these plants for centuries, passing down knowledge about importance through generations. Therefore, this study aimed investigate interaction between humans useful Forest, North Showa Zone, Ethiopia, a focus cultural significance, conservation status, threats they face. A snowball sampling technique was employed select 100 informants data were collected free listing, field walk, open-ended semi-structured interviews, group discussions. To evaluate (CI) plant species, three quantitative indices, namely, relative frequency citations (RFC), use reports (UR), value index (CV), employed. Each aims assess CI taxa statistically. Spearman's correlation coefficient used compare correlations among various indices since all variables considered are not distributed normally. Jaccard similarity (JI) calculated proportion species shared area other regions within Ethiopia. This identified total 90 categorized ten groups based uses. medicinal category most represented (55 taxa), followed by firewood (44 fencing (40 construction furniture (37 taxa). Consequently, considering key informant discussion, 15 additional analysis using measures including (CI). Based score, Olea europaea subsp. cuspidata, Juniperus procera, Carissa spinarum, Croton macrostachyus, Dodonaea viscosa angustifolia, Eucalyptus globulus reflecting frequent utilization. Among these, cuspidata versatile ranked first due its greater number diverse categories. mentioned provides relevant information significance. More generally more people than those only one purpose often subject high pressure overutilization. Thus, can aid establishing sustainable without depletion resources informing community-based strategies incorporate ethnobotanical knowledge.

Language: Английский

Citations

1

Post-Fire Burned Area Detection Using Machine Learning and Burn Severity Classification with Spectral Indices in İzmir: A SHAP-Driven XAI Approach DOI Creative Commons
Halil İbrahim Gündüz, Ahmet Tarık TORUN, Cemil Gezgin

et al.

Fire, Journal Year: 2025, Volume and Issue: 8(4), P. 121 - 121

Published: March 21, 2025

This study was conducted to precisely map burned areas in fire-prone forest regions of İzmir and analyze the spatial distribution wildfires. Using Sentinel-2 satellite imagery, burn severity first classified using dNBR dNDVI indices. Subsequently, machine learning (ML) algorithms—RF, XGBoost, LightGBM, AdaBoost—were employed classify unburned areas. To enhance model performance, hyperparameter optimization applied, results were evaluated multiple accuracy metrics. found that RF achieved highest with an overall 98.0% a Kappa coefficient 0.960. In comparison, classification based solely on spectral indices resulted accuracies 86.6% (dNBR) 81.7% (dNDVI). A key contribution this is integration Explainable Artificial Intelligence (XAI) through SHapley Additive exPlanations (SHAP) analysis, which used interpret influence environmental variables area classification. SHAP analysis made decision processes transparent identified dNBR, dNDVI, SWIR/NIR bands as most influential variables. Furthermore, analyses confirmed variations reflectance across fire-affected are critical for accurate delineation, particularly heterogeneous landscapes. provides scientific framework post-fire ecosystem restoration, fire management, disaster strategies, offering decision-makers data-driven effective intervention strategies.

Language: Английский

Citations

1

Remote-Sensing-Based Prioritization of Post-Fire Restoration Actions in Mediterranean Ecosystems: A Case Study in Cyprus DOI Creative Commons
Μαρία Προδρόμου, Ioannis Z. Gitas, Christodoulos Mettas

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(7), P. 1269 - 1269

Published: April 2, 2025

Global forest degradation and deforestation present urgent environmental challenges demanding efficient strategies for ecological restoration to maximize the impacts minimize costs. This study aims develop a spatial decision support tool prioritize post-fire actions in Mediterranean ecosystems, with focus on Cyprus. At core of this is GRESTO Index (GreenHIT-RESTORATION Index), novel geospatial designed guide reforestation efforts fire-affected areas. integrates data criteria through multi-criteria decision-making approach based Analytic Hierarchy Process (AHP). The model incorporates nine key indicators, including fire severity, tree density, land cover, history, slope, elevation, aspect, precipitation, temperature, classifies priority zones into low, medium, high categories. When applied Solea event Cyprus, identified 24% area as priority, 66% medium 10% low. validation against previous implemented demonstrated reliable agreement, an overall accuracy 80.9%, recall 0.70 areas, AUC 0.79, indicating very good separability. Moreover, sensitivity analysis further confirmed robustness under varying parameter weights. These findings highlight model’s potential data-driven, cost-effective planning aligned national international goals.

Language: Английский

Citations

1

Innovative Solutions to Climate Change: Evaluating the Most Effective Strategies DOI
Amir Karimdoost Yasuri

Environmental Claims Journal, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 33

Published: Jan. 3, 2025

This article examines innovative strategies for addressing climate change, evaluating their effectiveness in reducing greenhouse gas emissions across various sectors, including energy, transportation, and agriculture. Through a comprehensive literature review, the study identifies high-impact solutions such as renewable energy adoption, efficiency improvements, sustainable transportation initiatives. Key findings highlight importance of multifaceted approach that integrates technological advancements, policy reforms, community engagement meaningful progress. Successful case studies from around world underscore necessity collaboration among governments, businesses, civil society to effectively implement these foster future.

Language: Английский

Citations

0

Genetic structure and divergence of marginal populations of black poplar (Populus nigra L.) in Poland DOI Creative Commons
Weronika Barbara Żukowska, Andrzej Lewandowski

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 23, 2025

Genetic diversity is crucial to secure the survival and sustainability of ecosystems. Given anthropogenic pressure, as well projected alterations connected with level circulation water, riparian forests are particular concern. In this paper, we assessed genetic variation black poplar – one keystone tree species riverine forests. The natural habitats have been severely transformed leading a significant decline its population size. Using set 18 nuclear microsatellites geographic location data, studied 26 remnant populations (1,261 trees) located along biggest river valleys in Poland. Our main goal was assess overall verify if range fragmentation habitat transformation disrupted gene exchange among populations. Genotyping revealed that 261 trees were clones. clonality higher more sections. All probably gone through drastic bottleneck distant past, most them low effective sizes. Still, remains high, but certain require attention due their lower variation, strong spatial structure. differentiation low, yet Bayesian clustering supported existence 11 clusters. According results, prevalent between adjacent Relatively free flow occurs only Vistula, particularly middle section which characterized by highest variation. Noticeable structuring observed Oder. Populations at margin showed signs divergence reduction We conclude human activities impacted pool Poland disrupting landscape connectivity preventing from generative reproduction. study provides practical guidelines on how develop implement conservation program for It also presents case favoring renaturation monitoring, concerning species.

Language: Английский

Citations

0

Study on the incremental carbon sink of tea plantations under spatio-temporal variation characteristics DOI Creative Commons
Yude Pan,

Jingling Bao,

Yaqi Ji

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: March 5, 2025

Tea plantation ecosystems have an important function as carbon pools. It is of great significance to clarify the spatial and temporal patterns sinks in tea plantations, analyse driving factors order understand characteristics expand ways increasing plantations. In this study, we selected data nine prefecture-level cities Fujian Province, a major province industry, from 2010 2022, borrowed standard deviation ellipse trend surface analysis methods evolution combined with geodetic detector model explore differentiation. The results show that: (1) During period 2010–2022, total sink plantations Province increased by 133.12 × 10 5 Mg, showing continuous growth trend; terms distribution, intensity study area showed gradual present migration concentration southwest northeast. (2) Construct evaluation index system divided into social, living, industrial population other four categories eight indicators. (3)The single-factor driver shows that it mainly affected scale, density structure, q-values exceeding 0.5. (4)The interaction drivers urban-rural disparity scale highest effect, reaching 0.9698. provides decision-making assistance for expanding amount perspectives clarifying influence on heterogeneity plantations’ revealing factors.

Language: Английский

Citations

0

Bridging the adaptation finance gap: the role of nature-based solutions for climate resilience DOI Creative Commons
Gowhar Meraj, Shizuka Hashimoto

Sustainability Science, Journal Year: 2025, Volume and Issue: unknown

Published: March 10, 2025

Language: Английский

Citations

0

Biodiversity Boost DOI

Asanka Tennakoon,

Malitha P. W. Tharindi,

Nipuni Madhushani

et al.

Advances in environmental engineering and green technologies book series, Journal Year: 2025, Volume and Issue: unknown, P. 259 - 298

Published: Feb. 28, 2025

This chapter discusses the ecological benefits of agroforestry systems (AFS), a sustainable land-use system integrating trees and shrubs with crops livestock. AFS offers multifaceted solution to biodiversity loss, climate change, environmental degradation. Further, this section interprets how promotes by enhancing genetic, species, ecosystem diversity compares its impact monoculture systems. By improving habitat complexity supporting diverse contribute balance, food security, resilience. also highlights successful practices from different regions outlines socio-economic policy challenges broader implementation, providing insights into future research land management strategies.

Language: Английский

Citations

0

A Deciduous Forest’s CO2 Exchange Within the Mixed-Humid Climate of Kentucky, USA DOI Open Access
Ife Familusi, Maheteme Gebremedhin, Buddhi Gyawali

et al.

Forests, Journal Year: 2025, Volume and Issue: 16(4), P. 562 - 562

Published: March 24, 2025

Forests play a crucial role in carbon cycling, contributing significantly to global cycling and climate change mitigation, but their capture strength is sensitive the climatic zone which they operate its adjoining environmental stressors. This research investigated dynamics of typical deciduous forest, Daniel Boone National Forest (DBNF), Mixed-Humid Kentucky, USA, employing Eddy Covariance technique quantify temporal CO2 exchanges from 2016 2020 assess controlling biometeorological factors. The study revealed that DBNF functioned as sink, sequestering −1515 g C m−2 period, with mean annual Net Ecosystem Exchange (NEE) −303 m−2yr−1. It exhibited distinct seasonal daily patterns influenced by ambient sunlight air temperature. Winter months had lowest rate uptake (0.0699 h−1), while summer was most productive (−0.214 h−1). Diurnally, peaked past midday remained sink overnight, albeit negligibly so. Light temperature response curves effect on trees’ photosynthesis respiration. Furthermore, clear seasonality were observed control variables. consistent other North American forests.

Language: Английский

Citations

0