Forest Sciences Commons^™

Ai-Driven Multispectral Drone Monitoring For Afforestation In Arid Environments, Hesham Morgan, Ali Elgendy, Brandon Tran, Tamer Ismail, Mohamed M. Moursy, Yehya Kh. Shehadeh, Ahmed Elgharib, Ahmed Abdullah Al-Dughairi, Ali El Mubarak, Khaled Allam Harhash, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Monitoring large-scale afforestation projects in arid and semi-arid environments requires accurate, high-resolution, and repeatable methods to assess tree survival and growth. In this study, we integrated unmanned aerial vehicle (UAV) multispectral imaging with an advanced object detection framework to evaluate vegetation establishment in the Shuayb Al-Budai afforestation site, part of the Imam Turki bin Abdullah Royal Natural Reserve, Kingdom of Saudi Arabia (KSA). Multispectral datasets were acquired using a MicaSense Altum-PT sensor and processed through a masked Region-based Convolutional Neural Network (RCNN) with two backbone architectures: ResNet-101 and VGG19-BN. The Mask R-CNN–ResNet-101 model achieved superior performance, with an overall accuracy …

Impacts Of Biodiversity In Short Rotation Woody Crop Production Systems On Water Quality, Nyla C. Jones

Honors Theses

Mitigating agricultural nutrient runoff and improving water quality are key challenges in meeting food and energy demands. To address this challenge, short rotation woody crops (SRWC), specifically Populus deltoides (eastern cottonwood) and its genotypes, can be planted at the interface of riparian areas and agricultural production fields to alleviate fertilizer runoff into adjacent bodies of water. This research employed an experimental design to evaluate the effects of P. deltoides diversity on tree productivity and nutrient uptake, and how it mitigates agricultural runoff. Ion exchange resins were deployed 0.5 meters below the soil surface at three different sites in Mississippi, each …

Priority Research Questions In Global Peatland Science, Alice M. Milner, Michelle M. Mckeown, Monika Ruwaimana, Angela Gallego-Sala, Julie Loisel, Johanna Menges, Rodney Chimner, Et Al.

Michigan Tech Publications

Peatlands are among Earth’s largest terrestrial carbon stores and are crucial for climate regulation, biodiversity conservation, and water security. Yet peatlands worldwide are deteriorating under pressures from climate change and human disturbance. Strategic, globally coordinated research is urgently needed to protect, restore and manage peatlands so they can continue to deliver essential ecosystem services. To meet this challenge, here we present a global research prioritisation for peatland science, based on a two-stage online survey and expert voting exercise involving 467 participants from 54 countries. We identify 50 priority research questions spanning carbon dynamics, climate impacts, restoration and management, technological innovation, …

Cover And Contents, Editors Of Turkish Journal Of Agriculture And Forestry

Turkish Journal of Agriculture and Forestry

No abstract provided.

​Functional Characterization Of Stmtpsl Terpene Synthase-Like Genes And Their Role In Pathogen Resistance In Selaginella Tamariscina, Zhijie He, Bo Bi

Turkish Journal of Agriculture and Forestry

The biological activity and function of microbial terpene synthase-like genes from Selaginella tamariscina (StMTPSL) were investigated using molecular and biochemical approaches. After isolating and amplifying StMTPSL genes (StMTPSL1-StMTPSL6), both native and site-directed mutant forms were expressed in tobacco via Agrobacterium-mediated transformation. The resulting transgenic plants had increased expression of StMTPSL genes, enhanced monoterpene production (as confirmed by GC-MS), and significantly improved resistance to Pseudomonas syringae infection compared to nontransgenic controls. These results show that StMTPSL genes are functionally active in plants and contribute to pathogen resistance through elevated terpene biosynthesis. This study provides new insights into the role of MTPSL …

Effect Of Some Organic Fertilizers On Yield And Quality Of Olive Oil In Semiarid Conditions, İshak Bayyi̇ği̇t, Ebru Sakar

Turkish Journal of Agriculture and Forestry

This two-year field experiment evaluated the effects of different organic fertilizers on olive oil quality of the Gemlik cultivar grown under semiarid conditions in Mardin, Türkiye. Treatments of olive pomace (P1: 4, P2: 8, P3: 12 kg tree⁻¹), leonardite (L1: 1.5, L2: 3.0, L3: 4.5 kg tree⁻¹), and vermicompost (SG1: 3, SG2: 6, SG3: 9 kg tree⁻¹) were applied in a randomized complete block design with three replicates. Oils were analyzed for free acidity (FA), peroxide value, and phenolic profile using high-pressure liquid chromatography. FA ranged from 0.27% to 0.42% (as oleic acid), remaining well below the International Olive Council …

Comparative Evaluation Of Curd Enriched With Essential Oils Derived From Dill, Caraway, And Cumin, Hafize Fidan, Toncho Kolev, Denis Dervish, Ivayla Dincheva, Ira Taneva, Serkan Yilmaz, Yusuf Şavşatli, Albena Stoyanova

Turkish Journal of Agriculture and Forestry

Curd cheese is a traditional dairy product that, in recent years, has increasingly been supplemented with various functional additives aimed at enhancing its aroma and flavor profile, improving overall quality, and extending shelf-life. The objective of the present study was to conduct a comparative evaluation of changes in selected physicochemical, microbiological, and sensory parameters of curd cheese enriched with 0.01% essential oils derived from dill (Anethum graveolens L.), cumin (Cuminum cyminum L.), and caraway (Carum carvi L.) fruits. Fatty acid profiling revealed a reduction in saturated fatty acids and an increase in oleic and linoleic acids in essential oil-enriched curds …

Deep Learning Technology In Multimodal Remote Sensing Data Fusion To Analyze Crop Growth And Economic Forecast, Tianlong Jiang, Ziyang Liu, Li Sun

Turkish Journal of Agriculture and Forestry

This paper integrated multimodal remote sensing (RS) data with deep learning to develop a maize growth analysis and income prediction model based on CNN (Convolutional Neural Network)-Attention and Bi-LSTM (Bidirectional Long Short-Term Memory). Utilsing Landsat 8, Sentinel-2, and Sentinel-1 satellite data, the CNN-Attention network extracts vegetation features such as NDVI (Normalised Difference Vegetation Index), EVI (Enhanced Vegetation Index), and canopy density for corn growth stage identification and prediction. The study combined these features with meteorological, soil, and market data and fed them into a Bi-LSTM model for time series analysis to forecast corn income. The method achieved 98.3% accuracy in …

Long-Term Tillage And Straw Returning Practices Enhance Soil Humus Composition, Carbon Sequestration, And Ecological–Economic Benefits, Kai Wang

Turkish Journal of Agriculture and Forestry

While straw return is widely promoted, its specific effects on soil humus composition, structure, and ecological functions are not fully understood. This study investigates the long-term impacts of different straw types and farming practices on humus composition, carbon sequestration, and ecological–economic benefits. In Hunan Province’s paddy fields, six soils with 5–30-year farming histories were selected. Treatments included a blank control, corn straw return, and rice straw return, each replicated three times. Humus structure was analyzed via infrared spectroscopy, component contents were determined by alkali extraction, and a carbon footprint model assessed emissions. Ecological economic analysis integrated soil carbon pool dynamics, …

Silicon-Mediated Enhancement Of Wheat Tolerance To Drought Stress: A Comparative Study Of Antioxidant Activity, Photosynthesis, Secondary Metabolites, And Yield, Abida Kausar, Rida Yasmeen, Shahid Iqbal, Muhammad Bilal Hafeez, Asif Mukhtiar, Sadia Azeem, Ali Raza, Samreen Nazeer, Muhammad Zubair Akram, Muhammad Kamran, Fahd Rasul, Noreen Zahra

Turkish Journal of Agriculture and Forestry

Drought stress (DS) is a major constraint on optimal plant growth and yield. Agricultural researchers have been actively exploring fertilizers that can enhance crop production under DS conditions. Silicon (Si) application has emerged as a promising strategy for managing DS in various crops. This study investigated the potential of Si soil drenching to mitigate the adverse effects of varying levels of DS (at 100%, 70%, and 40% field capacity) in wheat. Two varieties (Ujala-2016 and FSD-2008) were used to evaluate the influence of Si (2.5 mM) on antioxidant activity, oxidative burst, secondary metabolites, growth, and yield. The results indicated that …

Analysis Of Agricultural Remote Sensing Data Driven By Artificial Intelligence On Crop Growth Patterns And Economic Benefits Of Grain, Yang Wang

Turkish Journal of Agriculture and Forestry

To address the shortcomings of conventional agricultural statistical and monitoring methods on a regional scale, this paper proposes the use of artificial intelligence-driven remote sensing data for analysing crop growth patterns and the economic benefits of grain. Winter wheat data from three stations in a single province from 2011 to 2020 was used, with the leaf area index (LAI) used as the key crop growth indicator value. The simulated annealing algorithm was used to assimilate the LAI and remote sensing leaf area index (MODIS-LAI), simulated by the World Food Study (WOFOST) simulation model, to carry out simulation analysis of winter …

​Spectrophotometric Detection Of Food Additives And Pesticides By Magnetite Cross-Linked Tyrosinase Aggregates (Mcltas)​, İlker Polatoğlu

Turkish Journal of Agriculture and Forestry

In this study, tyrosinase enzyme was cross-linked with glutaraldehyde to form aggregates on the surface of activated magnetite nanoparticles, without the need for a separate support matrix. For the first time, this novel aggregate was employed for the spectroscopic detection of ascorbic acid (AA) and diazinon, as model food additives and pesticides, respectively. This technique, developed as an alternative to optical sensors, not only eliminates their drawbacks but also facilitates the recovery of cross-linked enzyme aggregates (CLEA) from the reaction medium using the incorporated magnetite nanoparticles. A spectrophotometric technique was used to measure the enzyme activity of the aggregates to …

Nitrogen Transport Patterns And Vegetation Community Optimization In Urban Green Space Soils Using Multifactor Coupling Analysis, Shujian Yang, Baoxi Yu, Zheng He, Baochang Liu, Chang Liu

Turkish Journal of Agriculture and Forestry

As vital components of urban ecosystems, urban green spaces directly affect soil fertility and plant growth through nitrogen transport dynamics. This study addresses the existing methodological gaps in understanding nitrogen cycling within urban green spaces, particularly the unclear interaction mechanisms between vegetation structure and soil physicochemical characteristics. The study was conducted in the Green Expo Park located in Nanjing, China. Using a stratified sampling approach, physicochemical indicators of soil layers were measured and combined with community parameters—including leaf area index, vegetation coverage, and plant density—to identify key drivers through correlation and multiple regression analyses. The regulatory mechanisms of soil physicochemical …

Mitigation Of Salinity Stress In Carnation Plants Through Zinc Oxide Nanoparticles: Growth, Physiological, And Biochemical Responses, Adel A. Rezk, Ishtiaq Ahmad, Maryam, Muhammad Saleem, Othman Al-Dossary, Hossam S. El-Beltagi, Mohammed Aldaej, Bader Y. Alsubaie, Hati̇ce Gülen, Tarek Shalaby, Riaz Ahmad

Turkish Journal of Agriculture and Forestry

Carnation (Dianthus caryophyllus L.) growth and floral yield are severely reduced when grown in soils with excessive salinity. Mitigation of adverse effects from salinity-induced stress is necessary for sustainable carnation cultivation. Although various approaches have been developed, the use of zinc oxide nanoparticles (ZnO-NPs) to ameliorate these effects remains scarcely explored. The current study explored the potential of ZnO-NPs to alleviate salinity-induced stress by examining their effects on morphophysiological and biochemical traits. A controlled pot experiment was conducted using a factorial design with three concentrations of sodium chloride (0, 50, and 100 mM) and three of ZnO-NPs (0, 50, and …

Development Of A Grease Resistant Barrier For Food Industry Applications, Mira Marino

Honors Theses

The objective of this project is to develop a grease-resistant barrier coating for paper-based food packaging and to evaluate the economic feasibility of implementing this coating system at an industrial scale. As demand increases, this project focuses on identifying an optimal pigment and binder combination that enhances barrier performance while maintaining cost-effectiveness. The primary goal was to maximize grease and moisture resistance of coated paper while ensuring the process is economically viable and compatible with existing paper mill operations.

The final plant design consists of one continuous stirred tank reactor (CSTR) and three centrifugal pumps integrated into an existing paper …

Investigating The Cost And Efficiency Of Two Chemical Pathways To Produce The Plant-Based Coagulants, Taylor Nixon

Honors Theses

Plant-based coagulants are promising sustainable alternatives for water treatment due to their biodegradability, low toxicity, and reduced risk of secondary pollution. Unlike conventional inorganic coagulants, they generate less sludge and avoid secondary contamination in the environment. This project examines two chemical modification strategies for producing cationic cellulose coagulants. The first involves direct amination of cellulose using CHPTAC, while the second employs periodate-oxidized dialdehyde cellulose, which enables reductive amination through reactive aldehyde groups. These approaches are expected to yield materials with differing charges, surface functionalities, and structural properties that may influence coagulation performance. The study evaluates the technical and economic feasibility …

Expanding The Convergence Canon: Indigenous Knowledge Systems And Place-Based Convergence Research In Lake Superior’S Keweenaw Bay, Usa, Melissa Baird, Valoree Gagnon, Judith Perlinger, Noel Urban, Larissa A. Juip, Kelly Kamm, Evelyn Ravindran, Caren Ackley, Cassandra M. Reed-Vandam

Michigan Tech Publications

This study presents results from an NSF-funded convergence research project conducted in partnership with the Keweenaw Bay Indian Community (KBIC) in Michigan’s Upper Peninsula, USA. While convergence research frameworks often emphasize deep integration, we argue that participatory, place-based, and community-led convergence requires maintaining an integrity of difference. Through a systematic literature review, surveys and semi-structured interviews, we examined how team members operationalized convergence research and the Tribal Landscape System (TLS) framework. Across these data sources, convergence emerged as a negotiated practice shaped by distinct roles, institutional responsibilities, and long-term partnership commitments. Our findings demonstrate that ethical engagement, adaptive collaboration, and …

High Germinability Can Facilitate Recovery Of Adelia Vaseyi (Euphorbiaceae), An Imperiled Tamaulipan Thornscrub Shrub, Saroj Dhakal, Bashira Chowdhury, Alejandro Fierro-Cabo

School of Earth, Environmental, & Marine Sciences Faculty Publications

While critical to maintaining dryland biodiversity and drought resilience, reforestation has been limited in subtropical dry forests because of knowledge gaps in seed biology that must be filled to upscale seedling production and ensure recovery of imperiled endemic plants. We characterized seed germination, dormancy, and storage needs for Adelia vaseyi, a threatened endemic shrub commonly included in planting mixes to restore Tamaulipan thornscrub, an imperiled subtropical forest spanning South Texas and Northeastern Mexico. We found A. vaseyi seeds have high germinability (82.0%) and a short mean germination time (3.04 ± 0.08 days). A delia vaseyi seed does not appear …

Forest Characteristics And Avian Community Differences Among Cerulean Warblers (Setophaga Cerulea) Use Types, Dustin Kohler

ATU Scholars Symposium

Avian species are often used to measure the health of an ecosystem, in part because the specific forest structure can significantly impact the avian community. A heterogeneous landscape can support a more diverse avian community and benefit specialist species like the Cerulean Warbler (Setophaga cerulea), a rapidly declining, neotropical migrant that can be found in large deciduous forests. The Ozark Mountains of northwestern Arkansas represent a small core area for the species, but at all sites in the upland Ozarks where Cerulean Warbler research has been conducted, there are fewer individuals than there were twenty years ago; some …

Use Of Basal Tree Cavities By Sylvilagus Aquaticus In Central Arkansas, Heath R. Williams

ATU Scholars Symposium

Basal tree cavities are hollow structures at the base of tree trunks utilized by many wildlife species, including small mammals, furbearers, and bats. Dumyahn and Zollner (2010) demonstrated that swamp rabbits (Sylvilagus aquaticus) use basal tree cavities and speculated that they may be used for thermoregulation at the northern limits of their geographic range or as alternative escape routes. To further investigate swamp rabbit use of basal tree cavities, we placed camera traps approximately 1 m from the entrance of the cavities (n = 43) in various Wildlife Management Areas in central Arkansas. Along with control sites without cavities (n=25), …