Estimating carbon stocks and biomass accumulation in three different agroforestry patterns in the semi-arid region of Pakistan

Yasin, Ghulam; Rahman, Shafeeq Ur; Nawaz, Muhammad Farrakh; Qadir, Ihsan; Zubair, Muhammad; Gul, Sadaf; Hussain, Muzzamal; Zain, Muhammad; Khaliq, Muhammad Athar

doi:10.1080/17583004.2021.1987332

Cited by 9 publications

(5 citation statements)

References 40 publications

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“…Generally, 500-900 mm (20-35 inches) of rain per year is suitable for many crops, but this varies with climate. The region has a semi-arid climate with 300-500 mm annual rainfall [67].…”

Section: Agriculture Land Suitabilitymentioning

confidence: 99%

Soybean (Glycine max) Cropland Suitability Analysis in Subtropical Desert Climate through GIS-Based Multicriteria Analysis and Sentinel-2 Multispectral Imaging

Ahmad,

Younas,

Ahmad

et al. 2023

Land

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Soybean (Glycine max) is a protein-rich oilseed crop that is extensively used for cooking oil and poultry feed and faces significant challenges due to adverse global climatic conditions aggravated by the ongoing climate crisis. In response to this critical issue, this study was initiated to assess suitable zones for soybean cultivation, aiming to facilitate informed land use decisions within the semi-arid terrestrial ecosystem. Through the utilization of geostatistical interpolation, data layers encompassing soil, irrigation water, land use and land cover, topographic features, and climate information were generated and overlaid based on criterion weightage derived from the Analytic Hierarchy Process. The accuracy of land use and land cover was rigorously evaluated, yielding a 70% overall accuracy and a Kappa (K) value of 0.61, signifying an acceptable level of precision. Validation through the Receiver Operating Characteristic curve for soybean crop suitability demonstrated a highly satisfactory area under the curve of 0.738. The study estimates that out of 172,618.66 hectares, approximately 47.46% of the land is highly suitable (S1) for soybean production, followed by 21.36% moderately suitable (S2), 11.91% marginally suitable (S3), 7.00% currently not suitable (N1), and 12.28% permanently not suitable (N2). Conclusively, the findings suggest that the study area exhibits conducive climatic conditions, optimal soil health, and access to quality irrigation water, all of which have the potential to support soybean crops with improved agronomic practices. This investigation offers valuable insights to both farmers and policymakers concerning irrigation water quality, agricultural productivity, and soil degradation.

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“…Generally, 500-900 mm (20-35 inches) of rain per year is suitable for many crops, but this varies with climate. The region has a semi-arid climate with 300-500 mm annual rainfall [67].…”

Section: Agriculture Land Suitabilitymentioning

confidence: 99%

Soybean (Glycine max) Cropland Suitability Analysis in Subtropical Desert Climate through GIS-Based Multicriteria Analysis and Sentinel-2 Multispectral Imaging

Ahmad,

Younas,

Ahmad

et al. 2023

Land

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“…The gradual elevation in global carbon dioxide (CO 2 ) emissions and subsequent temperature increments has emerged as a noteworthy issue in the effort to lessen emissions (UNFCCC, 2015; IPCC, 2018). The continuous release of atmospheric CO 2 that is responsible for climate change is caused by human activity, including signi cant modi cations in land use, deforestation, and the burning of petroleum and natural gas (Nawaz et al, 2017;Yasin et al, 2021). CO 2 , a predominant greenhouse gas, stands as the primary contributor, exceeding 70%, to the warming of the planet, with its concentration experiencing a sharp upswing since the industrial era (Gupta et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…and temperate forests(Chen et al, 2018; Schleu ß et al, 2014). In a poplar-based agroforestry system, the maximum soil carbon stock was estimated (22.72 t ha -1 ) in pattern C at 0-15 cm depth, as stated byYasin et al (2021). SOC content within 15 cm of soil depth in cropland agroforestry under a forest ecosystem is much greater because of higher litter fall rates, higher plant richness, and very low disturbance of soil(Saha et al, 2008;Hossain et al, 2021).…”

mentioning

confidence: 99%

Estimating carbon stocks and woody perennials diversity in cropland agroforestry practiced at three different land ecosystems in Bangladesh

Hasan,

Roshni,

Akter

2024

Preprint

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Background Cropland agroforestry practices are widely adopted over various land ecosystems in Bangladesh, offering the potential to capture carbon (C) and safeguard biodiversity. Lack of accurate assessments of biomass carbon and the diversity of woody perennials in cropland agroforestry practices across different land ecosystems presents a hurdle for the efficient execution of initiatives such as REDD + and comparable mechanisms. The present research sought to estimate biomass carbon stocks and diversity of woody species, exploring the influence of stand structure and diversity indices on these C stocks. We conducted woody perennials’ inventory in 180 sampling quadrates (10 m × 10 m) from cropland agroforestry practices in forest, plain land, and char land ecosystems. Results Altogether, we identified 42 woody species; however, the predominant species in three land ecosystems were Acacia auriculiformis, Gmelina arborea, and Tectona grandis. Swietenia macrophylla and Swietenia mahogany contributed the greatest amount of carbon stocks. Carbon stocks in woody perennials were 30–44% higher in plainland and forest land ecosystems compared to the char land ecosystem, attributable to significantly increased stand density, basal area, and diameter. The significantly highest Shannon-Wiener index (2.75) and Margalef’s richness index (3.37) were found in forest land compared to other ecosystems. The highest total carbon stocks (131.27 Mg C ha− 1) of cropland agroforestry were found in the forest land ecosystem, which had the greatest soil organic carbon, density, and richness of woody perennials. A rise in the richness and diversity index of woody species by one unit led to a concurrent increase of 12 and 8 Mg C ha− 1 in carbon stock, respectively. Conclusions Cropland agroforestry practices in the forest land ecosystem are more diverse and could sequester more carbon stock than in the other two land ecosystems in Bangladesh. The biomass C stocks of woody species were positively correlated with stand structure and diversity, having the potential to contribute to biodiversity conservation in Bangladesh and other similar countries.

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“…Promoting agroforestry is one option to solve problems related to land use and CO 2 -induced global warming [15,16]. Agroforestry systems, directly and indirectly, affect C storage because of their greater potential to sequester atmospheric CO 2 and other ecosystem services, including food security and soil conservation [17,18]. Agroforestry exploits the ecological and economic interactions of the different components [15,19].…”

Section: Introductionmentioning

confidence: 99%

Biomass Production and Carbon Stocks in Poplar-Crop Agroforestry Chronosequence in Subtropical Central China

Pham

Yan

Peng

et al. 2023

Plants

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Agroforest systems have been widely recognized as an integrated approach to sustainable land use for addressing the climate change problem because of their greater potential to sequester atmospheric CO2 with multiple economic and ecological benefits. However, the nature and extent of the effects of an age-sequence of agroforestry systems on carbon (C) storage remain largely unknown. To reveal the influence of different aged poplar-crop systems on C stocks, we investigated the variation in biomass and C storage under four aged poplar-crop agroforest systems (3-, 9-, 13-, and 17-year-old) in the Henan province of China. The results showed that stand biomass increased with forest age, ranging from 26.9 to 121.6 t/ha in the corresponding four aged poplar-crop systems. The poplar tree biomass accounted for >80% of the total stand biomass in these poplar-crop agroforestry systems, except in the 3-year-old agroforestry system. The average stand productivity peaked in a 9-year-old poplar-crop system (11.8 t/ha/yr), the next was in 13- and 17-year-old agroforestry systems, and the minimum was found in 3-year-old poplar-crop stands (4.8 t/ha/yr). The total C stocks increased, with aging poplar-crop systems ranging from 99.7 to 189.2 t/ha in the studied agroforestry systems. The proportion of C stocks accounted for about 6, 25, and 69% of the total C stocks in the crop, poplar tree, and soil components in all studied agroforestry ecosystems, respectively. Our results suggested that the poplar-crop system, especially in productive and mature stages, is quite an effective agroforestry model to increase the study site’s biomass production and C stocks. This study highlighted the importance of agroforestry systems in C storage. It recommended the poplar-crop agroforest ecosystems as a viable option for sustainable production and C mitigation in the central region of China.

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Estimating carbon stocks and biomass accumulation in three different agroforestry patterns in the semi-arid region of Pakistan

Cited by 9 publications

References 40 publications

Soybean (Glycine max) Cropland Suitability Analysis in Subtropical Desert Climate through GIS-Based Multicriteria Analysis and Sentinel-2 Multispectral Imaging

Soybean (Glycine max) Cropland Suitability Analysis in Subtropical Desert Climate through GIS-Based Multicriteria Analysis and Sentinel-2 Multispectral Imaging

Estimating carbon stocks and woody perennials diversity in cropland agroforestry practiced at three different land ecosystems in Bangladesh

Biomass Production and Carbon Stocks in Poplar-Crop Agroforestry Chronosequence in Subtropical Central China

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