The effects of fire and seasonal variations on soil properties in Juniperus excelsa M. Bieb. stands in the Alborz Mountains, Iran

Delijani, Nasim Bagheri; Moshki, Alireza; Matinizadeh, Mohammad; Ravanbakhsh, Hooman; Nouri, Elham

doi:10.1007/s11676-021-01446-1

Cited by 6 publications

(5 citation statements)

References 47 publications

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“…Based on this study, the input variables significantly affect forest stand volume except for geography and soil acidity. Several studies have shown that environmental factors, such as height above sea level, slope, and geographical direction, play a substantial role in the development and formation of communities and vegetation, including Zhang et al (2013) and Daghestani et al (2017). The indirect effects of these factors affect trees' quantitative and qualitative characteristics, including their diameter at the breast, percentage of canopy cover, volume, and density of trees.…”

Section: Discussionmentioning

confidence: 99%

Sensitivity analysis and performance evaluation of neural networks for predicting forest stand volume - A case study: District 2, Kacha, Guilan province, Iran

Lotfi Asl,

Navroodi,

Kalteh

2024

J. For. Sci.

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growth size, allowable harvesting, and forest trade principles (Gebreslasie et al. 2010). It is imperative to develop methods that predict forest stand volume to obtain this extensive information quickly and cost-effectively (Bončina, Čavlović 2009). Artificial Neural Networks (ANNs) as a problemsolving, decision-making, and planning method in natural resource and forest management was first Forest habitats in the Hyrcanian or Caspian forests of Iran have different production capacities and a variety of trees and shrubs. This is due to the special geographical, climatic, and soil conditions (Mohammadi et al. 2010). Forest stand volume, one of the most critical characteristics of forest stands, is essential for planning and sustainable forest management. It determines fertility, habitat quality,

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Section: Discussionmentioning

confidence: 99%

Sensitivity analysis and performance evaluation of neural networks for predicting forest stand volume - A case study: District 2, Kacha, Guilan province, Iran

Lotfi Asl,

Navroodi,

Kalteh

2024

J. For. Sci.

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“…Variations were largely seasonal (see Supplementary Figure 2), with a maximum always in spring, maybe because soil respiration depends on precipitation and soil temperature (Zarafshar et al, 2020). Besides, soil biological activities such as microbial respiration are strongly influenced by season through changes in biotic and abiotic factors (Kaiser et al, 2010;Bagheri Delijani et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

How does livestock graze management affect woodland soil health?

Bastani

Sadeghipour

Kamali

et al. 2023

Front. For. Glob. Change

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Soil is the fundamental component of each terrestrial ecosystem, so the consequences of land management regime on soil health and productivity should be evaluated. To this end, the long term effects of livestock grazing management on soil health were studied in three land management systems of north-eastern Iran, comprising unlimited grazing, managed grazing, and a rangeland where grazing was prohibited. First, properties including pH, EC, bulk density and contents of phosphorus, potassium and calcium in soils subject to the three grazing management regimes were compared. Then, seasonal variations of organic carbon, total nitrogen, microbial respiration (BR and SIR), carbon and nitrogen of microbial biomass (MBC and MBN), fungal biomass and AMF (Arbuscular mycorrhizal fungi) spore density were studied at the three sites. Several soil stoichiometric microbial indicators were also compared. Soil phosphorus contents were found to drastically decline (by around 40%) in response to long term unlimited grazing, while soil acidity and bulk density slightly increased under that grazing regime, in comparison with managed-grazing and grazing-excluded rangelands. Season and grazing management had significant impacts on all the studied variables. Although soil nitrogen content increased, presumably due to livestock urine, organic carbon content and all the soil microbial variables declined in grazed sites, which were also the ones with lower plant cover. A higher AFM spore density was observed around the rhizosphere of Artemisia aucheri, the most frequent plant, in lands with unlimited grazing. Based on these results, managed grazing is strongly recommended rather than any kind of unlimited or continuous grazing.

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“…By implementing the introduced strategies, rural development criteria (Table 2), including social growth, education, health and medical services, political-administrative system attributes, and finally, infrastructure, will be improved. The diversification of rural livelihoods is a basic strategy for reducing poverty and, as a result, improving rural development indicators and mitigating the effects of environmental hazards on the forest [57,58].…”

Section: Discussionmentioning

confidence: 99%

Livelihood Analysis and a New Inferential Model for Development of Forest-Dependent Rural Communities

Mahmoudi,

Zenner,

Mafi-Gholami

et al. 2023

Sustainability

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The livelihood of many households and communities in the Central Zagros of Iran is strongly dependent on income from forests. While this has led to the widespread over-utilization of forests, poverty levels have remained high and rural development low. The objective of this study was to understand how households utilize forests and to what extent forests contribute to household income and alleviate poverty in order to develop strategies to raise families out of poverty and offer development perspectives to communities that avoid destructive forest utilization. To do so, semi-structured interviews were conducted in five rural communities, community poverty was quantified using several indices (e.g., the Census Ratio Index, Poverty Gap Index), the level of rural development was quantified using socio-economic indicators, and an inferential model was developed that combines household dependence on forests with the level of rural development to provide development perspectives. Local households earned income from nine livelihood strategies that involve forests. Forest-dependent strategies provided the second highest economic share (18.1%) of household income, averaging IRR 27.7 million (USD 657) annually, and moved 12% of households above the poverty line (76% still remained below). Without forest income, most indices of poverty decreased, income inequality increased by 11%, and poverty depth increased 1.54-fold. The low development index of most villages indicates that rural villagers are heavily dependent on forests to meet their livelihood. Our conceptual model indicates that communities should pursue different development strategies that consider whether households depend on forests to meet their livelihood or derive more supplemental income.

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The effects of fire and seasonal variations on soil properties in Juniperus excelsa M. Bieb. stands in the Alborz Mountains, Iran

Cited by 6 publications

References 47 publications

Sensitivity analysis and performance evaluation of neural networks for predicting forest stand volume - A case study: District 2, Kacha, Guilan province, Iran

Sensitivity analysis and performance evaluation of neural networks for predicting forest stand volume - A case study: District 2, Kacha, Guilan province, Iran

How does livestock graze management affect woodland soil health?

Livelihood Analysis and a New Inferential Model for Development of Forest-Dependent Rural Communities

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