Converting native shrub forests to Chinese chestnut plantations and subsequent intensive management affected soil C and N pools

Li, Yongfu; Zhang, Jiaojiao; Chang, Scott X.; Jiang, Peikun; Zhou, Guomo; Shen, Zhenming; Wu, Jiaping; Lin, Lin; Wang, Zhishuang; Shen, Minchao

doi:10.1016/j.foreco.2013.10.008

Cited by 63 publications

(34 citation statements)

References 48 publications

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“…Land management practices can markedly affect the content and distribution of SOC in different vegetation types [29,46,62,63]. Among the four forest vegetation-land use types studied in this research, the broad-leaf and pine forests were natural forests with long rotations and were minimally affected by human activities.…”

Section: Land Management Affected Soc Distributionmentioning

confidence: 92%

“…In this paper, we studied the SOC distribution in both soil particle size and density fractions under four forest vegetation-land use types: an evergreen broad-leaved forest, a pine (Pinus massoniana) forest, a managed Chestnut (Castanea mollissima) forest and an intensively managed bamboo (Phyllostachys praecox) forest in southeast China. Those forest vegetation-land uses represent the most common types of forest vegetation-land use that cover plantations (some have high economic value), as well as natural forests in subtropical China [29,30]. The objective of this study was to determine the influence of forest type on soil total organic C concentration, C concentration in different particle size and density fractions and their spatial distributions in the soil profile.…”

Section: Introductionmentioning

confidence: 99%

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Soil Organic Carbon in Particle Size and Density Fractionations under Four Forest Vegetation-Land Use Types in Subtropical China

Shang

Jiang

Chang

et al. 2014

Forests

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Data on the effect of vegetation and land use type on soil organic carbon (SOC) distribution in particle-size and density fractions in the subtropical forest region in China will improve our understanding of the C sequestration potential of those different vegetation-land use types. We quantified SOC in particle size (coarse, medium and fine) and density fractions (light and heavy) under four types of common forest vegetation-land uses: an evergreen broad-leaf forest, a pine forest, a managed chestnut forest and an intensively managed bamboo forest in subtropical China. The SOC in the 0-20 and 20-40 cm soil layers was the highest in the bamboo forest (31.6-34.8 g· C· kg −1 ), followed by the evergreen broad-leaf forest (10.2-19.9 g· C· kg −1 ), the pine forest (8.5-13.6 g· C· kg −1 ) and the chestnut forest (6.3-12.2 g· C· kg −1 ). The SOC was largely in the coarse fraction under the evergreen broad-leaf, pine and bamboo forests, while it was largely in the fine fraction in the chestnut forest, suggesting that SOC in the chestnut forest was likely more stable than that in the other forest vegetation-land use types. The SOC in the light fraction under the four forest vegetation-land use types ranged from 1.4 to 13.1 g· C· kg −1 soil, representing 21%-37% of the total organic C; this suggests that the majority of the SOC OPEN ACCESSForests 2014, 5 1392 was in the better protected, heavy fraction. We conclude that forest vegetation-land use type (and the associated management practices) influenced SOC distribution in particle size and density fractions in the studied subtropical forests in southeastern China.

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Section: Land Management Affected Soc Distributionmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Soil Organic Carbon in Particle Size and Density Fractionations under Four Forest Vegetation-Land Use Types in Subtropical China

Shang

Jiang

Chang

et al. 2014

Forests

Self Cite

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“…Another important factor that can affect chestnut yield is the soil condition (Portela et al, 2015), including physical and chemical properties such as soil parent material, texture, and chemical composition. Li et al (2014) and Bauman et al (2017) considered soil and nutrients as the primary factors affecting Chinese chestnut plantations. The third factor we considered was the climatic conditions, which can influence chestnut tree growth and fruit development (Wilczyński and Podlaski, 2007).…”

Section: Determinants Of Chestnut Yield and Data Collectionmentioning

confidence: 99%

Development of a Plant Geospatial Model for Identifying Chestnut Yield‐Limiting Factors

et al. 2019

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The Chinese chestnut (Castanea mollissima Blume) is an essential and highly nutritious nut crop, and income from selling chestnuts is important for small producers. Despite chestnuts being widely planted, chestnut yields are decreasing in northern China. The hypothesis of this paper is that yield reduction is the result of complex topographic conditions, insufficient soil nutrients, unscientific fertilization, and limited availability of productive land. The objective was to create a plant social geospatial model-geographical detector for analyzing the strength of the association between chestnut yields and their potential determinants. In this model system, we used measured data from chestnut to highlight how a geospatial model can be used to identify complex relationships among soil, plants, and geospatial location. Four geographical detectors (i.e., risk, factor, ecological, and interaction) were proposed on the basis of spatial variation analysis. The model was then applied to Qianxi County of Hebei Province in China. Soil parent material, soil texture, and total power of farm machinery were found to be the key factors. The interactive effect of any two factors increased chestnut yield, and the interaction between parent material and total power of farm machinery resulted in the highest yield. The study's approach and findings make it possible to introduce effective and practical measures to increase chestnut yield. Strategies to increase chestnut yield need to be designed with spatial variables being considered.

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“…Fleming and Freedman (1998) suggested that the landscape effects of converting mixed Acadian forests of New Brunswick, Canada to plantations with a 60-year logging rotation would reduce forest C stores by 78%. Conversion of a native shrub forest to intensively managed plantations of Chinese chestnut (Castanea mollissima Blume) similarly reduced both above-ground biomass and soil organic carbon in proportion to the duration of the intensive management period (Li et al, 2014). A meta-analysis of Chinese plantation practices found that ecosystem C and soil nutrients declined relative to natural forests, regardless of dominant species, age class, site history, or silvicultural practices (Liao et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Carbon storage and stand conversion in a pine-dominated boreal forest landscape

Park

2015

Forest Ecology and Management

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Converting native shrub forests to Chinese chestnut plantations and subsequent intensive management affected soil C and N pools

Cited by 63 publications

References 48 publications

Soil Organic Carbon in Particle Size and Density Fractionations under Four Forest Vegetation-Land Use Types in Subtropical China

Soil Organic Carbon in Particle Size and Density Fractionations under Four Forest Vegetation-Land Use Types in Subtropical China

Development of a Plant Geospatial Model for Identifying Chestnut Yield‐Limiting Factors

Carbon storage and stand conversion in a pine-dominated boreal forest landscape

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