2015
DOI: 10.5846/stxb201312052896
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Litter production and turnover in four types of subtropical forests in China

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Cited by 5 publications
(5 citation statements)
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“…Forest litters are key cyclic materials in forest ecosystems, and play an important role in maintaining soil fertility, and promoting material and biological cycles, and nutrient balance [16]. Under the same climatic conditions, the main factor influencing the litter productivity is the forest type, and it varies with the tree species and spatial density of forest stands [17]. The paper studies the annual litter amounts of three forest stands in the Golden Mountain, i.e., Chinese fir plantation (1971.26 kg•hm −2 ), Cryptomeria fortunei plantation (2070.69 kg•hm −2 ), and evergreen and deciduous broad-leaved mixed forest (4742.93 kg•hm −2 ).…”
Section: Litter Productivity and Dynamic Characteristicsmentioning
confidence: 99%
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“…Forest litters are key cyclic materials in forest ecosystems, and play an important role in maintaining soil fertility, and promoting material and biological cycles, and nutrient balance [16]. Under the same climatic conditions, the main factor influencing the litter productivity is the forest type, and it varies with the tree species and spatial density of forest stands [17]. The paper studies the annual litter amounts of three forest stands in the Golden Mountain, i.e., Chinese fir plantation (1971.26 kg•hm −2 ), Cryptomeria fortunei plantation (2070.69 kg•hm −2 ), and evergreen and deciduous broad-leaved mixed forest (4742.93 kg•hm −2 ).…”
Section: Litter Productivity and Dynamic Characteristicsmentioning
confidence: 99%
“…Litters of branches are greatly influenced by climatic conditions, especially wind, which blows down dead branches from previous months, causing changes in the litter productivity of branches in different months [23]. Affected by the combined influence of local climatic conditions and the ecological characteristics of tree species [17], the monthly dynamic changes in litter productivity of leaves are unimodal. For the evergreen and deciduous broad-leaved mixed forest, the litter productivity of leaves peaks in October due to the clear seasonal pattern of litter, with autumn having significantly higher litter productivity than other seasons.…”
Section: Litter Productivity and Dynamic Characteristicsmentioning
confidence: 99%
“…Important functions have irreplaceable ecological roles, and a large amount of organic matter and mineral elements are transported from the canopy of plants to the soil surface through the litter. Therefore, the collection and measurement of forest litter are important means of studying the structure and function of forest ecosystems [5][6][7][8]. To a certain extent, litter yield and nutrient return are suitable indicators of the overall function of forest ecosystems and play a key role in forest ecosystem dynamics, nutrient cycling, and forest productivity [9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%
“…Although in the past few decades, litter yield, structure and composition, decomposition rate, and its influencing factors have been extensively studied around the world, the existing dynamic changes of litter are mostly related to litter yield, nutrient The results of a single study on the return of elements or nutrients for one year are mostly planted forests, and there are relatively few studies on primitive natural forests [29][30][31]. In addition, the research on the evergreen broad-leaved forest in this region mainly includes the vegetation type and diversity research, and the multi-year comparative comprehensive research combining the dynamic law of litter yield and nutrient return is rarely reported [7,10,[32][33][34][35][36].…”
Section: Introductionmentioning
confidence: 99%
“…The space distribution characteristics and pollution evaluation method of soil heavy metals has been researched in the world [3][4][5][6][7] . But the research of heavy metal pollution of farmland soils surrounding large-scale pig farms has not been reported.…”
Section: Introductionmentioning
confidence: 99%