Wyniki wyszukiwania - BazTech

Ograniczanie wyników

2 Ecological Engineering & Environmental Technology

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

Assessment of forest stand dynamics in the Timekssaouine forest (Northern Morocco) using statistical and machine learning approaches

Farhani Faouzi, Youssef Boussalim, Boujraf Amal, El Aboudi Ahmed, Zine Hamza, Sahel Yassir, Dallahi Youssef

Ecological Engineering & Environmental Technology

2025

Vol. 26, iss. 3

195--219

Tracking changes in forest composition, structure, and distribution over time is essential for developing effective conservation strategies and sustainable management practices in these ecologically sensitive regions. In this study, the objective was to conduct a diachronic analysis, comparing land cover and vegetation status in the Timekssaouine forest within the Central Plateau region of Morocco over a 20-year period. The aim was to analyze the spatiotemporal evolution of plant formations. Satellite imagery, specifically Landsat images taken during the summer period (July) of 1999 and 2020, was utilized to provide a detailed observation of changes over time and space. Additionally, machine learning modeling using random forest (RF) was implemented to further explore the dynamics of change in the forest. The RF models developed achieved reasonable to good predictive performance, with AUC scores of between 0.67 and 0.80. The obtained findings revealed a concerning regression, with both the diachronic (59% of the forest area) and RF (35%) approaches highlighting extensive regression of the forest, particularly in the cork oak formations at 9%, with notable de-densification across density classes between 1999 and 2020, a diachronic study. Dense cork oak and moderately dense strata were particularly affected, experiencing regressions of 455 ha and 1204 ha, respectively, during this period. Conversely, open and sparse strata expanded, primarily sourced from the dense and moderately dense strata, resulting in an overall regression rate of 60 ha/year. The dense cork oak strata were prevalent on steep slopes with deep, slightly acidic soil, while scattered and clear strata were observed in low-lying areas with shallow soils and a pH range from neutral to slightly basic. Autumn precipitation and amplified overgrazing intensity emerged as the pivotal factors influencing the categorization of forest formations in the study forest, impacting tree density levels and posing a significant threat to forest regeneration.

Influence of Harvest Time and Environmental Factors on the Yield and Chemical Composition of Rosemary (Rosmarinus officinalis L.) Essential Oil in Northeast Morocco

Farhani Faouzi, El Aboudi Ahmed, Boujraf Amal, Dallahi Youssef

Ecological Engineering & Environmental Technology

2024

Vol. 25, iss. 11

1--17

Assessment of the dynamics of rosemary (Rosmarinus officinalis L) is essential in the production of essential oils (EOs) in Morocco, considering the country is one of the main producers of rosemary EO. In this study, the authors aimed to examine the influence of harvesting period and environmental factors on the dynamics of rosemary EO, mainly its composition. Samples were collected from four sites in northeastern Morocco on a monthly basis between July 2021 and June 2022. Subsequently, quantitative and qualitative analyses by hydrodistillation and gas chromatography were performed to determine the yield and composition of EOs. On average, EO yields ranged from 2.3 to 3% across the four sites; they were highest in summer and lowest in autumn. A moderate negative correlation (r = -0.59, p < 0.05) was observed between precipitation and EO yield, while temperature had a moderately positive influence. A total of 17 chemical compounds, representing 88.9–99.1% of the EO extracts, were identified and consisted mainly of 1,8-cineole (44.2–46.6%), camphor (14.8–16.8%), borneol (7.5–9.1%), and α-pinene (5.2–5.9%). Harvesting period strongly influenced EO composition, with the highest concentrations of 1,8-cineole and α-pinene were recorded during the summer period (July and August), while the concentrations of borneol, camphor, and terpineol were highest in winter (December and January) and late spring. The findings of the study highlight the importance of monitoring the factors that influence the chemical composition of rosemary EO, thus providing a knowledge base that would help improve the quality and economic value of rosemary EO production in the region.