Influence of tree size, local forest structure, topography, and soil resource availability on plantation growth in Qinghai Province, China

Lin, Sha; Li, Ying; Li, Yuanhang; Chen, Qi; Wang, Qionglin; KangNing, He

doi:10.1016/j.ecolind.2020.106957

Cited by 15 publications

(3 citation statements)

References 54 publications

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“…Soil is an important material resource closely related to our life, also a place for material circulation among environments (Lin et al . 2021). Soil quality is directly related to national food, resources, and the environment, as well as human life, health, and safety.…”

Section: Introductionmentioning

confidence: 99%

Characteristics and diversity of microbial communities in lead–zinc tailings under heavy metal stress in north‐west China

Gao¹,

Liu

Wang

et al. 2021

Letters Applied Microbiology

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High‐throughput 16S rRNA and 18S rRNA sequencing were performed to study the changes of soil microbial diversity and community structure under different heavy metal pollution levels in Chengxian lead–zinc mining area, Gansu Province. In this study, we characterized the main physicochemical properties, multiple heavy metal pollution, and microbial community structure of the soil in the tailings. The results show that the soil near the tailings pond was alkaline, barren and the heavy metals were seriously polluted. The microbial diversity and richness of S1 and S2 sites were significantly lower than that of CK2 site (P < 0·05), indicating that the heavy metal pollution could change the physicochemical properties and microbial community structure in soil. Among 97 identified core operating taxa of fungal communities, Ascomycota, Teguta and Basidiomycota were dominant at the phylum level, while among 1523 identified core operating taxa of bacterial communities, Actinomycota was dominant at the phylum level. In addition, the redundancy analysis and Spearman correlation analysis showed that the physicochemical properties and the heavy metal concentration had significant effects on the composition and distribution of soil microbial community. The basic characteristics of soil physicochemical properties, multiple heavy metal pollution and microbial community structure in the tailings were revealed, hoping to provide a basis for ecological rehabilitation of tailings by revealing the variance rule of microbial community diversity in the future.

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Section: Introductionmentioning

confidence: 99%

Characteristics and diversity of microbial communities in lead–zinc tailings under heavy metal stress in north‐west China

Gao¹,

Liu

Wang

et al. 2021

Letters Applied Microbiology

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show abstract

“…Moreover, we recommend focusing post-fire restoration actions aimed at conserving soils in those burnt areas with steep slopes, especially after very severe fires (Pereira et al 2018). Topographical differences can affect the recovery of vegetation (Lin et al 2021;Liu et al 2021) and thus, post-fire management should be prioritized in critical areas to avoid soil degradation using low-impact or alternative treatments that limit the degradation of these areas (Francos et al 2018b). Protection against erosion and preservation of soil quality after fire in these vulnerable areas may be achieved through the provision of a protective ground cover, shortening the distance of uninterrupted flow paths, promoting substrate stabilisation and enhancing vegetation recovery (i.e., application of mulch, erosion barriers, chemical improvers and seeding, respectively) (Girona-García et al 2021).…”

Section: Multivariate Analysis and Implications For Land Managementmentioning

confidence: 99%

Influence of topography on sediment dynamics and soil chemical properties in a Mediterranean forest historically affected by wildfires: NE Iberian Peninsula

et al. 2021

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Wildfires are a major concern in Mediterranean areas and play an important role in the pedogenic process, as they usually increase soil credibility due to the destruction of vegetation cover and soil structure. On top of these factors, slope and aspect also determine the degree of retention and availability of water and nutrients in soils after fire, which in turn influence the recovery of vegetation and its protective effect against erosion. This work aims to describe the effects of slope and aspect on soil development in an area historically affected by wildfires. The study area is located in Ódena (NE Iberian Peninsula) in a Mediterranean forest. Four representative soil profiles were sampled from a south-facing steep slope, north-facing steep slope, south-facing gentle slope and north-facing gentle slope. In each profile 11 samples were sampled. The amount of soil organic matter (SOM), inorganic C (IC) and total N (TN) as well as cation availability, pH, and electrical conductivity (EC) were determined for all the horizons of each profile. Results showed that IC, TN, C/N ratio, pH, EC and K were mainly affected by aspect, whereas organic matter, C/N ratio, pH, EC, Ca and Mg were especially influenced by slope. Slope determined the amount and availability of SOM and nutrients, which highlights the need to prioritise the management of areas susceptible to erosion in order to ensure soil and ecosystem functionality.

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“…Additionally, they contribute to preserving water quality by acting as natural filters and mitigating soil erosion. They function as effective deterrents against soil erosion, playing a crucial role in maintaining the stability of landscapes [7,8]. Additionally, they serve as protective shields for vital wildlife habitats and watersheds.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Climate Change on China’s Forestry Efficiency and Total Factor Productivity Change

Shah,

Hao,

Yan

et al. 2023

Forests

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The objective of this study is to examine the impact of climate change on forestry efficiency (FRE) and total factor productivity change (TFPC) in 31 provinces of China for a study period of 2001–2020. Additionally, the study aims to evaluate the success level of governmental initiatives used to mitigate climate change. Using the DEA-SBM, this study estimates the forestry efficiency for 31 Chinese provinces and seven regions. Results indicate that the average forestry efficiency score obtained is 0.7155. After considering climatic factors, the efficiency level is 0.5412. East China demonstrates the highest average efficiency with a value of 0.9247, while the lowest score of 0.2473 is observed in Northwest China. Heilongjiang, Anhui, Yunnan, and Tibet exhibit the highest efficiency scores. Mongolia, Heilongjiang, Sichuan, Hebei, and Hunan are the five provinces most affected by climate change. This study’s findings indicate that the average total factor forestry productivity (TFPC) is 1.0480, representing an increase of 4.80%. The primary determinant for change is technology change (TC), which surpasses efficiency change (EC). Including climate variables reduces total factor productivity change (TFPC) to 1.0205, mainly driven by a decrease in TC. The region of South China exhibits the highest total factor productivity change (TFPC) with a value of 1.087, whereas both Northeast China and Central China observe falls below 1 in TFPC. The Mann–Whitney U test provides evidence of statistically significant disparities in forestry efficiency and TFPC scores when estimated with and without incorporating climate factors. Kruskal–Wallis found a statistically significant difference in FRE and TFPC among seven regions.

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Influence of tree size, local forest structure, topography, and soil resource availability on plantation growth in Qinghai Province, China

Cited by 15 publications

References 54 publications

Characteristics and diversity of microbial communities in lead–zinc tailings under heavy metal stress in north‐west China

Characteristics and diversity of microbial communities in lead–zinc tailings under heavy metal stress in north‐west China

Influence of topography on sediment dynamics and soil chemical properties in a Mediterranean forest historically affected by wildfires: NE Iberian Peninsula

The Impact of Climate Change on China’s Forestry Efficiency and Total Factor Productivity Change

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