Impact of Iran’s Forest Nationalization Law on Forest Cover Changes over Six Decades: A Case Study of a Zagros Sparse Coppice Oak Forest

Heidarlou, Hadi Beygi; Shafiei, Abbas Banj; Nasiri, Vahid; Niţă, M. D.; Borz, Stelian Alexandru; López‐Carr, David

doi:10.3390/s23020871

Cited by 9 publications

(3 citation statements)

References 51 publications

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“…To effectively identify the willow and non-willow classes, the GEE cloud computing platform was used to provide image collections, preprocess, extract features, classify, and check the accuracy of produced maps [48]. This stage entailed a number of procedures, including image collecting and filtering, cloud-cover masking, calculation of spectral indices, extraction of spectral-temporal information, and classification [49,50].…”

Section: Image Classificationmentioning

confidence: 99%

Mapping Small-Scale Willow Crops and Their Health Status Using Sentinel-2 Images in Complex Agricultural Areas

Beygi Heidarlou,

Oprea-Sorescu,

Marcu

et al. 2024

Remote Sensing

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The goal of this study was to estimate the areas under willow cultivation by farmers, as well as their growth and health status. Due to the extremely small patch size of land cover types in the study area, Sentinel-2 data were used to conduct supervised classification based on the random forest machine learning technique, and a large training dataset was produced from PlanetScope satellite imagery. The results of image classification using Google Earth Engine indicated that the Sentinel data were suitable for identifying willow-cultivated areas. It was found that these areas declined from 875.32 ha in 2017 to 288.41 ha in 2022. The analysis of the growth and health conditions of willow-cultivated plots also revealed that the temporal variations in the NDVI in these plots decreased significantly in 2022 as compared to previous years (p < 0.05). An in-depth analysis revealed a significant positive correlation between NDVI, precipitation, and temperature. It was found that the most efficient components explaining the process of browning the vegetation in the planted willow plots were the increasing temperature and decreasing precipitation. This research may be used to document the national and global monitoring efforts for climate change adaptation.

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Section: Image Classificationmentioning

confidence: 99%

Mapping Small-Scale Willow Crops and Their Health Status Using Sentinel-2 Images in Complex Agricultural Areas

Beygi Heidarlou,

Oprea-Sorescu,

Marcu

et al. 2024

Remote Sensing

Self Cite

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“…Additionally, deforestation contributes to the loss of biodiversity and habitat fragmentation, directly impacting ecosystem functions and carbon cycling. It is evident that swift action is necessary to address deforestation and its impact on our planet (Beygi Heidarlou et al, 2023). Deforestation and land-use/land-cover (LULC) changes in developing nations that are necessary for timber production and agricultural expansion are the primary sources of GHG emissions.…”

Section: Introductionmentioning

confidence: 99%

REDD implementation for greenhouse gas reduction and climate change mitigation in Hyrcanian forests: a case study of the Kojoor Watershed, Northern Iran

Niknam,

Sarli,

Taherizadeh

et al. 2024

Environ Monit Assess

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Reducing emissions from deforestation and forest degradation (REDD) is a specific strategy for combating deforestation and forest degradation to alleviate the effects of climate change. In this study, the potential greenhouse gas (GHG) emission reduction resulting from the implementation of a REDD project is estimated. Changes in forest cover throughout the years 1985, 1990, 1995, 2000, 2010, 2015, and 2020 were analyzed using time-series Landsat imagery (TM, ETM + , and OLI) and a random forest algorithm. Multilayer perceptron neural networks were used to model the transition potential of the forest cover, which were then predicted via Markov chain analysis. The change detection analysis revealed two discernible patterns in forest cover dynamics. Between 1985 and 2000, a notable decrease in forest cover was seen, whereas from 2000 to 2020, it significantly increased. The results suggested that the absence of REDD implementation would result in the deforestation of approximately 199,569 hectares of forest cover between 2020 and 2050, leading to the release of 1,995,695 tCO2e of emissions into the atmosphere. However, with the implementation of REDD, these emissions would be reduced to 405,512 tCO2e, effectively preventing the release of 1,590,183 tCO2e of emissions into the upper atmosphere. This study demonstrates that the implementation of REDD projects can be an effective strategy for reducing GHG emissions and mitigating climate change in the Hyrcanian forests.

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“…On the other hand, competition for raw wood supply has intensi ed, leading to an increase in wood prices, mainly due to increased demand for raw wood from both WBP producers and the bioenergy sector (Guan and Zhang, 2023). In countries like Iran, the wood supply is much worse due to the tripling of production volume in the last decade (more than 3 million m 3 ) and ongoing forest conservation plans (Heidarlou et al, 2023). The use of agricultural waste as a renewable and abundant material in the world and also in Iran is considered one of the most reliable solutions to overcome this challenge.…”

Section: Introductionmentioning

confidence: 99%

Wheat straw-based particleboards with citric acid as adhesive; influence of mat moisture and adhesive content

Khatiri,

Shalbafan,

Najafi

2023

Preprint

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ABSTRAC In this study, the properties of particleboard made from wheat straw using citric acid (CA) as a bio-adhesive were investigated. The effects of mat moisture content (MC) and adhesive on mechanical properties (flexural strength, modulus of elasticity, internal strength) and physical properties (thickness shrinkage and water absorption) of straw particleboard were evaluated. To control the MC of the mat, the resinated straw particles were oven dried at different times (2 to 14 hours) and temperatures (80 and 100 °C) to obtain a mat with MC between 20 and 0.5%. The effects of an adhesive content of 15, 20, 25 and 30% (based on the dry mass of the straw) on the properties of the panels were also studied. The best MC of the mat before hot pressing was about 11% (drying of the particles in 2 hours at 100 °C), and the corresponding board had the highest mechanical and the lowest physical properties. Further decreasing the MC of the mat from about 11% to 0.5% had a negative effect on the mechanical and physical properties of the straw particleboard. Increasing the adhesive content from 15% to 30% improved all mechanical and physical properties of the panels; however, the changes in the range of 20% to 30% of adhesive content on the flexural properties and water absorption were not significant. In general, the results showed that due to the acidic nature of CA, it is possible to produce particleboard from wheat straw without pretreating the straw particles before use.

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Impact of Iran’s Forest Nationalization Law on Forest Cover Changes over Six Decades: A Case Study of a Zagros Sparse Coppice Oak Forest

Cited by 9 publications

References 51 publications

Mapping Small-Scale Willow Crops and Their Health Status Using Sentinel-2 Images in Complex Agricultural Areas

Mapping Small-Scale Willow Crops and Their Health Status Using Sentinel-2 Images in Complex Agricultural Areas

REDD implementation for greenhouse gas reduction and climate change mitigation in Hyrcanian forests: a case study of the Kojoor Watershed, Northern Iran

Wheat straw-based particleboards with citric acid as adhesive; influence of mat moisture and adhesive content

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