Maha Rezky, Andang Suryana Soma*, and Andi Mujetahid

Faculty of Forestry, Hasanuddin University, Jl Perintis Kemerdekaan Km 10 Tamalanrea, 90245,  Makassar City, Indonesia. *E-mail: s_andangs@unhas.ac.id

This study aims to map land potential and estimate pine resin yield in Abulo Sibatang Forest Farmers Group (KTH), Laiya Village, Cenrana Subdistrict, Maros Regency, using drone technology and field data. The research method was carried out by aerial photography using UAV to produce orthomosaic and land cover maps which were then combined with dendrometric data, specifically trunk diameter and tree height. Data analysis was performed using a regression model and testing the classification accuracy through a confusion matrix. The inventory data showed 12,590 pine trees with a height distribution of 25–27 m (29.5 %), 28–30 m (54.6 %) and ≥30 m (15.9 %). The estimated resin yield from the tall class reached 51,034 kg·yr-1, or more than half of the total production. Factors affecting production included tree morphometric characteristics, particularly diameter at breast height and tree height, supported by spatial and site-related factors. The combination of UAV and field data proved successful in identifying priority tapping areas and improving resource management efficiency. This finding confirms the positive correlation between tree dimensions and resin yield and demonstrates the great potential of UAV technology to support non-timber forest products.

Received: 03 October 2025 / Accepted: 24 April 2026 / Available online: 11 May 2026

Open Access: This work is distributed under the Creative Commons Attribution 4.0 License.

Yasmine Lakhdari (1)*, Abdelhakim Bouzid (2,3), Abdelwahab Chedad (4),
and Makhlouf Sekour (2)

1. Laboratoire de Mathématiques et Sciences Appliquées (LMSA), Faculté des Sciences et de la
Technologie, Université de Ghardaïa, 47000 Ghardaïa, Algeria.
*E-mail: lakhdari.yasmine@univ-ghardaia.dz
2. Laboratoire des Bio-resources Sahariennes: Preservation et Valorisation (BRS), Université de
Ouargla, 30000 Ouargla, Algeria. E-mail: sekkmakk@yahoo.fr
3. Laboratoire de Conservation des Zones Humides (LCZH), Université de Guelma, 24000
Guelma, Algeria. E-mail: bouzid.abdelhakim@univ-ouargla.dz
4. Laboratoire de Recherche Agronomie Environnement (LRAE), Université de Tissemsilt, 38000
Tissemsilt, Algeria. E-mail: agrochedad@yahoo.fr

This study evaluates the trophic spectrum of the Pharaoh Eagle-Owl (Bubo ascalaphus Savigny, 1809), a nocturnal raptor, in the Northern Algerian Sahara (El Menia region) to assess its ecological role in arid ecosystems. Analysis of 92 pellets collected between June and December 2018 revealed dietary composition and seasonal trophic dynamics. A total of 586 prey items representing 36 species across five taxonomic classes were identified. Mammals dominated the diet (69.6 %), followed by birds (10.9 %), insects (10.4 %), arachnids (5.0 %), and reptiles (4.1 %). Desert-adapted rodents formed the principal prey base, with Gerbillus nanus Blanford, 1875, Mus musculus Linnaeus, 1758, and Rattus rattus Linnaeus, 1758 being the most abundant species. Rodents contributed 72.8 % of total biomass, whilst dietary diversity showed marked seasonal variation, peaking during summer months. These findings demonstrate a generalist trophic strategy with pronounced seasonal plasticity, confirming the species’ role as a top predator in Saharan food webs. This baseline supports future biodiversity monitoring and conservation planning in arid ecosystems.

Received: 18 February 2026 / Accepted: 04 May 2026 / Available online: 14 May 2026

Open Access: This work is distributed under the Creative Commons Attribution 4.0 License.

Margarita Glazyrina (1), Natalia Lukina (1), Elena Filimonova (1),
and Nadezhda Chukina (2)*

1 .Laboratory of Anthropogenic Ecosystem Dynamics, Ural Federal University, 48 Kuibysheva Str.,
Yekaterinburg, 620026, Russia. E-mails: Margarita.Glazyrina@urfu.ru (MG), natalia.lukina@
urfu.ru (NL), Elena.Filimonova@urfu.ru (EF)
2. Department of Experimental Biology and Biotechnology, Ural Federal University, 48 Kuibysheva
Str., Yekaterinburg, 620026, Russia. *E-mail: nady_dicusar@mail.ru

The study of ecological and biological characteristics and adaptation mechanisms of species in anthropogenically transformed habitats is an important aspect of biodiversity conservation. The aim of this study was to test the hypothesis that environmental conditions influence the population structure and anatomical and morphological traits of Pyrola chlorantha Sw. in anthropogenically disturbed and natural habitats in the Middle Urals. To address this, we characterised the habitats and analysed the population structure and anatomical–morphological features of the species. Studies have shown that P. chlorantha grows in mixed and small-leaved forest phytocoenoses dominated by Pinus sylvestris L., Populus tremula L. and Betula pendula Roth. Forest communities on industrial dumps are characterised by lower values of tree canopy density, projective cover of the shrub and the herb–shrub layer compared to natural habitats. In all studied sites, P. chlorantha grew in small groups. In anthropogenic habitats, density ranged from 21 to 62 shoots per 100 m2, and in natural habitats from 33 to 106 shoots per 100 m2. All studied populations of P. chlorantha are predominantly vegetative type. Only in the population growing on a reclaimed area of a hydrodump of alluvial gold deposits, the proportions of vegetative and generative shoots were equal. P. chlorantha plants, growing in anthropogenic and natural habitats, did not differ in most morphological characteristics. Adaptation of P. chlorantha to technogenic environmental conditions occurred through rearrangements of the anatomical and morphological parameters of the leaves of generative shoots, involving a decrease in leaf area, an increase in leaf thickness, and a decrease in the total assimilating surface. Correlation analysis demonstrated a statistically significant negative correlation between the total leaf area of generative shoots and habitat light availability, according to Ellenberg indicator values.

 Received: 19 March 2026 / Accepted: 05 Maj 2026 / Available online: 14 Maj 2026

Open Access: This work is distributed under the Creative Commons Attribution 4.0 License.

Rahmawati Rahmawati*, Yusran Yusran, Gilang Ramadhan Syahputra, Irmasari Taha, and Kartika Megawati

Department of Forestry, Faculty of Forestry, Tadulako University, Jl. Soekarno-Hatta Km. 9,
Palu, Central Sulawesi, 94118, Indonesia. *E-mail: rahmawati89@untad.ac.id

Nepenthes spp. inhabit nutrient-poor environments where nutrient acquisition may involve not only carnivory but also interactions with arbuscular mycorrhizal fungi (AMF). However, information on AMF morphotype diversity associated with endemic Nepenthes species in tropical forest ecosystems remains limited. This study aimed to assess the diversity of AMF in the rhizosphere of Nepenthes pitopangii along the Rore Kautimbu Hiking Trail, Central Sulawesi, Indonesia. Soil samples were collected from five sampling points, and AMF spores were isolated using wet sieving and decanting followed by centrifugation, and identified based on morphological characteristics. Six AMF morphotypes belonging to two genera, Glomus and Acaulospora, were identified, with Glomus as the dominant genus. Spore density varied among sampling points, while soil conditions were characterised by acidic pH and low phosphorus availability. These conditions may favour AMF occurrence, particularly Glomus, which appears to have higher ecological tolerance to nutrient-limited environments. This study provides initial ecological insights into AMF diversity associated with N. pitopangii and highlights the importance of plant-microbe interactions in nutrient-poor ecosystems. Further studies, incorporating root colonisation and molecular approaches, are recommended.

Received: 07 February 2026 / Accepted: 15 May 2026 / Available online: 21 May 2026

Open Access: This work is distributed under the Creative Commons Attribution 4.0 License.

Nikolay Nikolov

Department of Physics, University of Architecture, Civil Engineering and Geodesy, 1 Hristo
Smirnenski Blvd., 1046 Sofia, Bulgaria. E-mail: niki.nikolow87@gmail.com

Urban areas face increasing challenges, including air and water pollution, rising temperatures, and natural resource depletion. The effective management of green infrastructure has the potential to mitigate urban heat, reduce air pollutants, and enhance economic benefits. This study aims to develop a conceptual decision-support model for urban green infrastructure management based on KPI evaluation and smart technologies. The model was demonstrated through a pilot case study for Tsar Simeon Garden in Plovdiv using secondary environmental data (temperature, humidity, PM2.5 and PM10 concentrations, and NDVI) and proxy-based estimates of KPIs. Key performance indicators were derived and evaluated using an AHP–TOPSIS framework. In addition, a scenario- based simulation was conducted to assess the potential effect of alternative management strategies, including vegetation enhancement, smart irrigation, and integrated interventions. The proposed framework supports more efficient management of urban green infrastructure, improving cooling, vegetation health, and resource use. The results indicate that KPI-based, data-informed evaluation can enhance decision-making for urban green infrastructure, particularly under data-constrained conditions.

Received: 15 March 2026 / Accepted: 25 May 2026 / Available online: 02 June 2026

Open Access: This work is distributed under the Creative Commons Attribution 4.0 License.