Assessment and Optimization of the Insecticidal Properties of γ-Al2O3 Nanoparticles Derived from Mentha pulegium By-Products to Xylosandrus crassiusculus (Carob Beetle)

Molecules, Journal Year: 2024, Volume and Issue: 29(6), P. 1205 - 1205

Published: March 8, 2024

This study concentrates on assessing the insecticidal attributes of γ-Al2O3 nanoparticles derived from remnants Mentha pulegium, which include essential oil, ethanolic extract, and plant waste. The synthesis was executed using a direct sol-gel procedure, affirming crystal structure according to extensive physicochemical analyses such as UV-Vis, XRD, FTIR, SEM. Evaluation activity in vitro conducted against Xylosandrus crassiusculus, pest that infests carob wood, utilizing strains diverse forests Khenifra region, situated Moroccan Middle Atlas. lethal doses 50 ranged 40 mg/g 68 mg/g, indicating moderate effectiveness compared commercial insecticide Permethrin. Optimization conditions for efficiency determined experimental plans, revealing time, humidity, temperature were influential factors dose these nanomaterials. Moreover, this encompasses establishment correlations Principal Component Analysis (PCA) Ascending Hierarchical Classification (AHC) among various geographic, biological, physical data, amalgamating geographic altitude nanoparticle parameters, well mechanical tests wood affected by insects. highlight close connections between insecticide, mountain altitude, parameters examined. Ultimately, demonstrate promising potential alternative insecticides, thus opening up encouraging prospects safeguarding pests.

Language: Английский

---

Insect Diversity in Pinus sylvestris Forest Stands Damaged by Lymantria monacha

Insects, Journal Year: 2024, Volume and Issue: 15(3), P. 200 - 200

Published: March 17, 2024

Outbreaks of Lymantria monacha are great concern, as their occurrence is predicted to become more intense and frequent due a warming climate. A treatment control mass outbreaks the pest with bioinsecticide Foray 76B. However, knowledge how this affects non-target insect species limited. We surveyed assemblages epigeal arboreal insects in Pinus sylvestris forests year following application. collection using sweep nets pitfall traps was carried out L. monacha-infested pine stands, (i) treated 76B (ii) untreated, three regions Lithuania from May October 2021. The results revealed that, Neringa forests, richness lower than untreated sampling plots, 36 41 different species, respectively. relative abundance Coleoptera plots 3.6%, while it 53.2%. There significant decrease Carabus arcencis Kapčiamiestis (by 7.4%) Marcinkonys 16.7%). Treated were distinguished by Hymenoptera at all study locations.

Language: Английский

---

Change Detection for Forest Ecosystems Using Remote Sensing Images with Siamese Attention U-Net

Technologies, Journal Year: 2024, Volume and Issue: 12(9), P. 160 - 160

Published: Sept. 12, 2024

Forest ecosystems are critical components of Earth’s biodiversity and play vital roles in climate regulation carbon sequestration. They face increasing threats from deforestation, wildfires, other anthropogenic activities. Timely detection monitoring changes forest landscapes pose significant challenges for government agencies. To address these challenges, we propose a novel pipeline by refining the U-Net design, including employing two different schemata early fusion networks Siam network architecture capable processing RGB images specifically designed to identify high-risk areas through change across time frames same location. It annotates ground truth maps such using an encoder–decoder approach with help enhanced feature learning attention mechanism. Our proposed pipeline, integrated ResNeSt blocks SE techniques, achieved impressive results our newly created cover dataset. The evaluation metrics reveal Dice score 39.03%, kappa 35.13%, F1-score 42.84%, overall accuracy 94.37%. Notably, significantly outperformed multitasking model approaches ONERA dataset, boasting precision 53.32%, 59.97%, 97.82%. Furthermore, it surpassed models HRSCD even without utilizing land maps, achieving 44.62%, 11.97%, 98.44%. Although had lower than methods, performance highlight its effectiveness timely landscape monitoring, advancing deep techniques this field.

Language: Английский

---

Predicting the potential distribution of Dendrolimus punctatus and its host Pinus massoniana in China under climate change conditions

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: May 24, 2024

Introduction Dendrolimus punctatus , a major pest endemic to the native Pinus massoniana forests in China, displays outbreak characteristics and causes severe destructiveness. In context of global climate change, this study aims investigate effects climatic variations on distribution D. its host, P. . Methods We predict their potential suitable areas future, thereby offering theoretical basis for monitoring controlling as well conserving forest resources. By utilizing existing data coupled with relevant variables, employs an optimized maximum entropy (MaxEnt) model predictions. With feature combinations set linear product (LP) regularization multiplier at 0.1, strikes optimal balance between complexity accuracy. Results The results indicate that primary factors influencing include minimum temperature coldest month, annual range, precipitation. Under influence pests exhibit high degree similarity, primarily concentrated region south Qinling−Huaihe line China. various scenarios, habitat these two species may expand varying degrees, exhibiting tendency shift toward higher latitude regions. Particularly under emission scenario (SSP5-8.5), is projected northwards fastest rate. Discussion 2050, migration direction expected closely align indicating pine will continue be affected by pest. These findings provide crucial empirical references region-specific prevention infestations rational utilization management

Language: Английский

---

Climate change reduces elevational and latitudinal differences in spring phenology of pine caterpillar (Dendrolimus spectabilis Bulter)

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 944, P. 173847 - 173847

Published: June 12, 2024

Language: Английский

---

Forest health under climate change: impact of insect pests

iForest - Biogeosciences and Forestry, Journal Year: 2024, Volume and Issue: 17(5), P. 295 - 299

Published: Sept. 30, 2024

Language: Английский

---

Assessment of the Potential Suitable Habitat of Apriona rugicollis Chevrolat, 1852 (Coleoptera: Cerambycidae) Under Climate Change and Human Activities Based on the Biomod2 Ensemble Model

Insects, Journal Year: 2024, Volume and Issue: 15(12), P. 930 - 930

Published: Nov. 27, 2024

Effective use of species distribution models can assess the risk spreading forest pests. In this study, based on 434 occurrence records and eight environmental variables, an ensemble model was applied to identify key factors affecting Apriona rugicollis Chevrolat, 1852 predict its potential habitat relative areas change under current future climatic conditions. The results indicate that humidity, solar radiation, topography, human activities were main influencing A. rugicollis. Under climate scenario, suitable habitats are mainly concentrated in East Asia, including North Korea, South Japan, Myanmar, Vietnam, China. scenarios, area for gradually increases, especially China which at high spreading. addition, will expand northeastward higher latitudes. study provide important scientific basis policymakers formulate strategies monitoring controlling response change.

Language: Английский

---

Remote Sensing and Assessment of Compound Groundwater Flooding Using an End-to-End Wireless Environmental Sensor Network and Data Model at a Coastal Cultural Heritage Site in Portsmouth, NH

Sensors, Journal Year: 2024, Volume and Issue: 24(20), P. 6591 - 6591

Published: Oct. 13, 2024

The effects of climate change in the forms rising sea levels and increased frequency storms storm surges are being noticed across many coastal communities around United States. These increases impacting timing tidal rainfall influenced compound groundwater flooding events. types events can be exemplified by recent ongoing occurrence within building basements at historic Strawbery Banke Museum (SBM) living history campus Portsmouth, New Hampshire. Fresh water saline intrusion structures destructive to foundations, mortar, joists, fasteners, overlaying wood structure. Although this is case, there appears a dearth research that examines use wireless streaming sensor networks monitor assess inundation buildings near-real time. Within current study, we designed deployed three-sensor latitudinal network SBM. This includes deployment remote monitoring level sensors two 120 240 m from river, as well one river itself. Groundwater salinity were also monitored buildings. Assessments model results recorded data provided evidence both terrestrial influences on Understanding sources allow site managers mitigate better adapt future Data work available via project's interactive webpage through public touchscreen kiosk interface developed for SBM Rowland Gallery's "Water Has Memory" exhibit.

Language: Английский

---

Early warning signals of changing resilience in the biogeochemistry and biology of a northern hardwood forest

Environmental Research Letters, Journal Year: 2023, Volume and Issue: 18(9), P. 094052 - 094052

Published: Aug. 25, 2023

Abstract Resilience is the ability of ecosystems to maintain function while experiencing perturbation. Globally, forests are disturbances unprecedented quantity, type, and magnitude that may diminish resilience. Early warning signals statistical properties data whose increase over time provide insights into decreasing resilience, but there have been few applications forests. We quantified four early (standard deviation, lag-1 autocorrelation, skewness, kurtosis) across detrended series multiple ecosystem state variables at Hubbard Brook Experimental Forest, New Hampshire, USA analyzed how these changed time. Variables were collected periods from 25 55 years both experimentally manipulated reference areas aggregated annual timesteps for analysis. Long-term (>50 year) increases in stream calcium, a key biogeochemical variable site, illustrated declining resilience after decades acid deposition, only watersheds had previously harvested. Trends nitrate, critical nutrient water pollutant, likewise exhibited symptoms all watersheds. Temporal trends some groups trees, insects, birds also indicated changing this pattern differed among, even within, groups. Overall, ∼60% Most occurred skewness kurtosis, suggesting ‘flickering’ behavior aligns with emerging evidence forest transitioning an oligotrophic condition. The other ∼40% increasing or unchanging Interpretation context system specific knowledge therefore essential. They can be useful indicators variables; however, uncertainties highlight need further development tools well-studied, long-term research sites.

Language: Английский

---

Ips Sexdentatus’un Duyarlılığının Maksimum Entropi (MaxEnt) İle Modellenmesi

Bartın Orman Fakültesi Dergisi, Journal Year: 2024, Volume and Issue: 26(2), P. 16 - 27

Published: March 29, 2024

İklim değişimi ve buna bağlı faktörlerden en çok etkilenen ormanlardır. değişikliği, konukçu ağaçların bunlarla ilişkili olan zararlıların dağılımlarında değişikliğe neden olmaktadır. Ekoloji koruma alanındaki planlamacılara yol gösterecek uygulamalar için türlerin coğrafi dağılımlarını belirleyen tahmine dayalı modeller önemlidir. Orman ekosistemlerinde ciddi olumsuzluklara kabuk böceklerinin her yıl artarak devam eden zararlarının önemli sonuçlar meydana getireceği beklenmektedir. Bu nedenle orman bulunan böceği türlerinin potansiyel dağılımlarının belirlenmesi sürdürülebilir yönetimi açısından oldukça salgınlarını iklim, topoğrafik meşcere parametreleri ölçüde etkilemektedir. çalışmada, Maksimum Entropi (MaxEnt) yaklaşımı kullanılarak 19 farklı biyoiklimsel değişken ile kapalılık, yükselti eğim değişkenlerini dikkate alarak Ips sexdentatus’un zararına ilişkin duyarlılık haritası oluşturulmuştur. Modelin doğruluğu alıcı çalışma karakteristiği (ROC) analizi değerlendirilmiş eğitim verilerinde eğri altında kalan alan (Area Under Curve, (AUC)) 0,846; test ise 0,855 olarak hesaplanmıştır. haritasında model sonucunu etkileyen parametrenin kapalılık olduğu modelin %68.5’ini oluşturduğu belirlenmiştir. Bunun yanında nemli ayın yağış miktarı değişkenlerinin toplu %88.4’ünü görülmüştür. Ayrıca, alanının % 51.6’sı sexdentatus istilası riskli kategoride yer almaktadır. çalışmanın sonuçları izlenmesi mücadele stratejilerinin belirlenmesine katkı sağlayacaktır. Aynı zamanda diğer salgın yapma potansiyeline sahip bir öngörü oluşturacaktır.

---