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

Spatio-Temporal Land-Use/Cover Change Dynamics Using Spatiotemporal Data Fusion Model and Google Earth Engine in Jilin Province, China DOI Creative Commons

Zhuxin Liu,

Yang Han, Ruifei Zhu

et al.

Land, Journal Year: 2024, Volume and Issue: 13(7), P. 924 - 924

Published: June 25, 2024

Jilin Province is located in the northeast of China, and has fragile ecosystems, a vulnerable environment. Large-scale, long time series, high-precision land-use/cover change (LU/CC) data are important for spatial planning environmental protection areas with high surface heterogeneity. In this paper, based on temporal fusion Landsat MODIS Google Earth Engine (GEE), series LU/CC mapping spatio-temporal analysis period 2000–2023 were realized using random forest remote sensing image classification method, which integrates indices. The prediction results OL-STARFM method very close to real images better contained information, allowing its application subsequent classification. average overall accuracy kappa coefficient products obtained fused index 95.11% 0.9394, respectively. During study period, area cultivated land unused decreased as whole. grassland, forest, water fluctuated, while building increased 13,442.27 km2 2023. terms transfer, was most source transfers, total share from 42.98% 38.39%. Cultivated mainly transferred land, transfer 7682.48 km2, 8374.11 7244.52 Grassland largest into among other feature types relatively small, at less than 3300 km2. This provides support scientific management resources Province, resulting dataset great significance regional sustainable development.

Language: Английский

Citations

1
Analysing the capacity of multispectral indices to map the spatial distribution of potential post-fire soil losses based on soil burn severity DOI Creative Commons
A. Novo, Cristina Fernández, Clara Míguez

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: 83, P. 102793 - 102793

Published: Aug. 23, 2024

Language: Английский

Citations

1
Orman Yol Ağının Orman Yangınlarına Etkisinin Coğrafi Bilgi Sistemleri ile Araştırılması DOI
Fatih Sivrikaya, Korhan Enez, Gonca Ece Özcan

et al.

Anadolu Orman Araştırmaları Dergisi, Journal Year: 2024, Volume and Issue: 10(1), P. 72 - 77

Published: May 10, 2024

Giriş ve hedefler Orman yangını, orman ekosistemini önemli ölçüde etkileyen doğal afetlerden bir tanesidir. Yangınlar, kaynaklarının sürdürülebilirliğini ekosistemdeki flora faunanın varlığını olumsuz yönde etkilemekte, insan hayatını tehdit etmekte emvalinde ekonomik kayba neden olmaktadır. yangınları doğrudan veya dolaylı olarak faaliyetleriyle yakından ilişkilidir. Türkiye'de yangınlarının yaklaşık %86'sına faaliyetleri Yol ağına olan mesafe yangın riskini parametrelerden Bu çalışmada yollarının yangınlarına etkisi Coğrafi Bilgi Sistemi ile araştırılmıştır. Yöntemler Çalışma, Türkiye'nin Akdeniz bölgesindeki Mersin Bölge Müdürlüğü'nde yer alan Anamur İşletmesi'nde gerçekleştirmiştir. 2015-2022 yılları arasında çalışma alanında meydana gelen yangınlar Genel Müdürlüğünden, yol haritası ise ağı planlarından elde edilmiştir. yollarına ArcGIS yazılımında 250, 500, 1000 5000 metre tampon zon (buffer) atılmıştır. Yangın noktaları bu çakıştırılmıştır. yakınlık arasındaki ilişki ortaya konulmuştur. Bulgular Yola negatif bulunmuştur. Yoldan uzaklaştıkça faaliyetlerinden kaynaklanan yangınların sıklığında azalma görüldüğü tespit Sonuçlar En fazla yanan miktarı 0-250 m zonda gelmiştir. Bulgular, gelecekte çıkabilecek yönetimi tahmin edilmesi açısından büyük önem taşımaktadır.

Citations

0
Fire danger in the supply areas of hydroelectric reservoirs under the restoration process in the south of Minas Gerais, Brazil DOI Creative Commons
Fillipe Tamiozzo Pereira Torres, Shauanne Dias Pancieri, Vicente Paulo Santana Neto

et al.

Revista Árvore, Journal Year: 2024, Volume and Issue: 48, P. 01 - 11

Published: May 10, 2024

The partial or complete loss of vegetation cover triggers an increase in surface runoff, erosion, and sedimentation water bodies, including reservoirs for hydroelectric power generation, reducing their life expectancy. To control mitigate this issue, ecological restoration interventions should prioritize the recovery areas most vulnerable to these processes, such as springs. Conversely, wildfires cause damage hinder and/or natural regeneration processes. Therefore, study aimed identify - with aid Geographic Information Systems temporal spatial likelihood fire occurrences spring recharge undergoing contributing southern Minas Gerais, Brazil. findings indicated that months highest probability wildfire were August September (accounting 66% cases), requiring increased attention prevention efforts. Furthermore, locations susceptible fires (steeper slopes, more flammable vegetation, higher anthropogenic use) be treated priorities both actions.

Language: Английский

Citations

0
Automatic Methodology for Forest Fire Mapping with SuperDove Imagery DOI Creative Commons
Dionisio Rodríguez‐Esparragón, Paolo Gamba, Javier Marcello

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(16), P. 5084 - 5084

Published: Aug. 6, 2024

The global increase in wildfires due to climate change highlights the need for accurate wildfire mapping. This study performs a proof of concept on usefulness SuperDove imagery To address this topic, we present an automatic methodology that combines use various vegetation indices with clustering algorithms (bisecting k-means and k-means) analyze images before after fires, aim improving precision burned area severity assessments. results demonstrate potential using PlanetScope sensor, showing effectively delineates areas classifies them by level, comparison data from Copernicus Emergency Management Service (CEMS). Thus, satellite sensor constellation fire monitoring is highlighted, despite its limitations regarding radiometric distortion absence Short-Wave Infrared (SWIR) bands, suggesting could contribute better management strategies.

Language: Английский

Citations

0
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