Changes in soil properties and plant biodiversity after 12 years of rehabilitating livestock farms in the Hyrcanian Forests

Hojjati, Seyed Mohammad; Darzi, Asieh; Asadi, Hamed; Tafazoli, Mahya

doi:10.1007/s10457-021-00658-y

Cited by 8 publications

(2 citation statements)

References 53 publications

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“…A high score in agroforestry 1 is related to a large canopy area and good growth. Tree's roots develop well due to this, which loosens the soil around the roots (Hojjati et al 2021). Nonetheless, according to (Azizah et al 2019), the root growth of Solomon Sengon was superior to that of local Kendal Sengon which has been shown since initial planting.…”

Section: Visual Soil Structure Qualitymentioning

confidence: 99%

Visual soil structure quality and its correlation to quantitative soil physical properties of upland rice site in Falcataria moluccana agroforestry system

2022

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Abstract. Briliawan BD, Wijayanto N, Wasis B. 2022. Visual soil structure quality and its correlation to quantitative soil physical properties of upland rice site in Falcataria moluccana agroforestry system. Biodiversitas 23: 1894-1903. Sengon and upland rice are plants that have the potential to be combined in the agroforestry system. However, its development often results in poor quantitative soil physical properties. Measuring the soil’s physical properties is expensive and complicated to do by some people. This study aims to measure the visual soil structure quality from different land covers and calculate its correlation to the parameters of the soil’s physical properties. The research was conducted in the Cikabayan forest and used the purposive sampling method to take soil samples. The research was conducted by comparing nine land covers in the form of agroforestry and monoculture developed in organic and conventional agriculture with tropical rainforests as natural vegetation. Three samples were taken for each land cover type and analyzed with a completely randomized design. The research showed that the vegetation of tropical rainforest generated the best score on all visual soil structure quality measurement methods (VESS, GrassVESS Sq and GrassVESS Rm). The measurement of soil physical properties at natural vegetation of tropical rainforests generated the highest score on the porosity (57.303%). Meanwhile, monoculture-conventional land generated the highest bulk density (1.373 g.cm-3). The VESS method had the highest correlation with soil physical properties compared to other visual soil structure quality measurement methods. Thus, natural vegetation is the best type of land cover compared to all cultivated land and the VESS method is the most appropriate method for estimating soil physical properties.

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Section: Visual Soil Structure Qualitymentioning

confidence: 99%

Visual soil structure quality and its correlation to quantitative soil physical properties of upland rice site in Falcataria moluccana agroforestry system

2022

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“…The main benefit is that these activities significantly improve and expand forest cover areas, especially on open lands prone to degradation [132]. Increasing the forest cover will have an impact on improving the physical, chemical, and biological properties of the soil to become more stable against erosion and degradation [133][134][135][136][137]. Vegetative rehabilitation activities have also significantly increased people's income and welfare [138][139][140] and support sustainable land management systems [127,141].…”

Section: Watershed Rehabilitation Through Vegetative Conservationmentioning

confidence: 99%

A Review on Sustainability of Watershed Management in Indonesia

Narendra¹,

Siregar²,

Dharmawan³

et al. 2021

Sustainability

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This paper provides an overview of the implementation and obstacles of watershed management, and the alternative solutions based on a synoptic review of related studies and experiences across Indonesia. The review found that problems in the institutional aspect were hierarchical confusion, discrepancy, and asynchrony among regulations, and weak (participation, synchronization, and coordination) among watershed management stakeholders. The weaknesses in the planning stage are integration among sectors, a lack of community participation, and limited readiness to integrate watershed planning into regional planning. Stakeholders’ involvement is also a critical factor in successful implementation of degraded watershed rehabilitation, including in peatland and mangrove areas. Failure should be minimized by providing adequate information on degraded watershed characteristics, appropriate species choices, and effective mechanical construction for soil and water conservation. Community participation as the main factor in driving watershed management should be achieved by strengthening public awareness of the importance of a sustainable watershed and providing access for the community to be involved in each stage of watershed management. Another problem is data gaps which are essential to address from the planning to evaluation stages. The gaps can be bridged by using remotely sensed data and by applying hydrological-based simulation models. Simplified criteria for watershed assessment may also be required, depending on site-specific issues and the watershed scale.

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Spatial and temporal trends in soil N-mineralization rates under the agroforestry systems in Bhabhar belt of Kumaun Himalaya, India

Karki

Bargali

2021

Agroforest Syst

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Changes in soil properties and plant biodiversity after 12 years of rehabilitating livestock farms in the Hyrcanian Forests

Cited by 8 publications

References 53 publications

Visual soil structure quality and its correlation to quantitative soil physical properties of upland rice site in Falcataria moluccana agroforestry system

Visual soil structure quality and its correlation to quantitative soil physical properties of upland rice site in Falcataria moluccana agroforestry system

A Review on Sustainability of Watershed Management in Indonesia

Spatial and temporal trends in soil N-mineralization rates under the agroforestry systems in Bhabhar belt of Kumaun Himalaya, India

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