Results 141 to 150 of about 770 (170)
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Strip clear-cutting transformations increase soil N2O emissions in abandoned Moso bamboo forests

Journal of Environmental Management
Forest transformation can markedly impact soil greenhouse gas emissions and soil environmental factors. Due to increasing labor costs and declining bamboo prices, the abandonment of Moso bamboo forests is sharply escalating in recent years, which weakens the carbon sequestration capacity and decreases the ecological function of forests.
Yang Lv   +3 more
openaire   +2 more sources

[Transferability of remote sensing-based models for estimating moso bamboo forest aboveground biomass].

Ying yong sheng tai xue bao = The journal of applied ecology, 2014
Taking the moso bamboo production areas Lin'an, Anji, and Longquan in Zhejiang Province of East China as study areas, and based on the integration of field survey data and Landsat 5 Thematic Mappr images, five models for estimating the moso bamboo (Phyllostachys heterocycla var.
Chao-Lin, Yu   +4 more
openaire   +2 more sources

Frateuria hangzhouensis sp. nov. Isolated from Soil of Moso Bamboo Forest in Hangzhou, China

Current Microbiology
A novel bacterium, designated STR12T, was isolated from the soil of a moso bamboo (Phyllostachys edulis) forest in Hangzhou, China. The strain was a Gram-stain-negative, rod-shaped, motile bacterium; the colonies of which were yellow, round, flat, sticky, and non-moist with a smooth margin after cultivation for 3 days at 28 °C.
Fu Yang   +8 more
openaire   +2 more sources

Structural development and carbon dynamics of Moso bamboo forests in Zhejiang Province, China

Forest Ecology and Management, 2018
Abstract Moso bamboo (Phyllostachys pubescens) is widely distributed in subtropical China and plays an important role in terrestrial carbon cycling. However, the capacity of Moso bamboo forests to sequester carbon and their long-term structural development in large regions remain poorly quantified.
Lin Xu   +9 more
openaire   +1 more source

A field-based estimation of moso bamboo forest biomass in China

Forest Ecology and Management, 2022
Ming Ouyang   +9 more
openaire   +1 more source

Development of the BIOME-BGC model for the simulation of managed Moso bamboo forest ecosystems

Journal of Environmental Management, 2016
Numerical models are the most appropriate instrument for the analysis of the carbon balance of terrestrial ecosystems and their interactions with changing environmental conditions. The process-based model BIOME-BGC is widely used in simulation of carbon balance within vegetation, litter and soil of unmanaged ecosystems. For Moso bamboo forests, however,
Fangjie, Mao   +8 more
openaire   +2 more sources

Forest management impacts on soil phosphorus cycling: Insights from metagenomics in Moso bamboo plantations

Journal of Environmental Management
Bamboo forests are crucial ecosystems and provide essential ecological and economic services in both tropical and subtropical regions. Soil phosphorus (P), a vital nutrient for plant growth, is fundamental to the productivity and health of bamboo forests.
Xiaoping, Zhang   +4 more
openaire   +2 more sources

Moso bamboo (Phyllostachys edulis) invasion increases forest soil pH in subtropical China

CATENA, 2022
Ming Ouyang   +9 more
openaire   +1 more source

Degradation-driven vegetation-soil-microbe interactions alter microbial carbon use efficiency in Moso bamboo forests

Science of The Total Environment
Microbial carbon utilization efficiency (CUE) is a crucial indicator for evaluating the efficiency of soil carbon sequestration and transformation, which is applied to quantify the proportion of soil carbon extracted by microbes for anabolism (growth) and catabolism (respiration). Previous studies have shown that the degradation of Moso bamboo forests (
Ning, Yuan   +11 more
openaire   +2 more sources

[Effects of atmospheric calibration on remote sensing estimation of Moso bamboo forest biomass].

Ying yong sheng tai xue bao = The journal of applied ecology, 2011
Landsat Thematic Mapper (TM) image was used to estimate Moso bamboo forest biomass, and six atmospheric calibration methods (FLAASH model, 6S model, and DOS1-4 models) were adopted to analysis the effects of atmospheric calibration on the remote sensing estimation of Moso bamboo forest biomass.
Wei-Liang, Fan   +5 more
openaire   +1 more source

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