The Experts below are selected from a list of 19968 Experts worldwide ranked by ideXlab platform
Junxia Yan - One of the best experts on this subject based on the ideXlab platform.
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Succession of plant and soil microbial communities with restoration of Abandoned Land in the Loess Plateau, China
Journal of Soils and Sediments, 2013Co-Authors: Yuan-ming Zheng, Junxia YanAbstract:Purpose There have been a number of studies on the succession of vegetation; however, the succession of soil microbes and the collaborative relationships between microbes and vegetation during Land restoration remain poorly understood. The objectives of this study were to characterize soil microbial succession and to explore the collaborative mechanisms between microbes and vegetation during the restoration of Abandoned Land through quantitative ecology methods.
Wang Xiaoli - One of the best experts on this subject based on the ideXlab platform.
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Effects of different types of mulches and legumes for the restoration of urban Abandoned Land in semi-arid northern China.
Ecological Engineering, 2017Co-Authors: Wang Jingmao, Liu Hui, Wu Xiaohui, Li Cangshuan, Wang XiaoliAbstract:Abstract Abandoned Land is a type of resource wasteLand that significantly damages the ecological environment and affects city construction. The northwestern Chinese ecological environment of the semi-arid field is fragile and susceptible to temperature variability. It is difficult to transform such Abandoned Land into sustainable urban Land. However, vegetation restoration on urban Abandoned Land can ameliorate the soil conditions but received less attention. In the ecological restoration of such Abandoned Land, the use of certain types of mulch and legume is efficient and effective. In this research, three mulching methods, including a straw blanket (SB), bark plot (BP) and wood shavings (WS), and a control plot (CP) were evaluated over separate growing seasons to determine their effects on the vegetation biomass and the soil physicochemical properties, including soil temperature and soil moisture. The results indicated that mulching had multiple benefits, including improved vegetation growth by decreasing soil evaporation and regulating the soil temperature. SB and BP were the preferred materials because they were more effective. The wood shavings method did not favor the establishment of vegetation and resulted in vegetation similar to that of the control plot. In addition, the legumes Amorpha fruticosa , Lespedeza bicolor and Medicago sativa significantly enhanced the soil physicochemical properties. Thus, the straw blanket, bark plot mulch are recommended for a beneficial water retention effect on topsoil and vegetation growth of Abandoned Land. This ecological restoration technology for urban Abandoned Land also exhibits environmental friendliness and sustainability.
Youxu Jiang - One of the best experts on this subject based on the ideXlab platform.
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Effect of Hillslope Gradient on Vegetation Recovery on Abandoned Land of Shifting Cultivation in Hainan IsLand, South China
Journal of Integrative Plant Biology, 2006Co-Authors: Yi Ding, Runguo Zang, Youxu JiangAbstract:In the present study, we investigated the effect of hillslope gradient on vegetation recovery on Abandoned Land of shifting cultivation in Hainan IsLand, south China, by measuring community composition and structure of 25-year-old secondary forest fallows along a hillslope gradient (up-, middle-, and down-slope position). A total of 49 733 free-standing woody plant stems higher than 10 cm and belonging to 170 species, 112 genera, and 57 families was found in the three 1-hm2 investigation plots. Stem density was highest in the down-slope stand and lowest in the up-slope stand. Species richness and the Shannon-Wiener index were both highest in the middle-slope stand, and lower in the down-slope and up-slope stands. The recovery forest fallows on different hillslope positions were all dominated by a few species. The five most abundant species accounted for 70.1%, 58.8%, and 72.9% of total stem densities in stands in the up-, middle-, and down-slope positions, respectively. The five species with the greatest basal areas accounted for 74.5%, 84.3%, and 74.7% of total stem basal area for the up-, middle-, and down-slope positions, respectively. The number of low-density species (stem abundance less than five) increased from the up-slope position downward. Of the nine local common species among three different functional groups, the short-lived pioneer species dominated the up-slope position, but long-lived pioneer species dominated the middle- and down-slope positions. The climax species of primary tropical lowLand rain forest was found in the downslope position. Both the mean diameter at breast height (DBH) and mean height of the trees increased with decreasing hillslope gradient. The stem density and basal area in different size classes were significantly different in stands in different slope positions. Our results indicated that the rate of secondary succession varies, even over small spatial scales caused by the hillslope gradient, in early vegetation recovery. (Managing editor: Ya-Qin Han)
Yuan-ming Zheng - One of the best experts on this subject based on the ideXlab platform.
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Succession of plant and soil microbial communities with restoration of Abandoned Land in the Loess Plateau, China
Journal of Soils and Sediments, 2013Co-Authors: Yuan-ming Zheng, Junxia YanAbstract:Purpose There have been a number of studies on the succession of vegetation; however, the succession of soil microbes and the collaborative relationships between microbes and vegetation during Land restoration remain poorly understood. The objectives of this study were to characterize soil microbial succession and to explore the collaborative mechanisms between microbes and vegetation during the restoration of Abandoned Land through quantitative ecology methods.
Tobias Kuemmerle - One of the best experts on this subject based on the ideXlab platform.
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spatial distribution of arable and Abandoned Land across former soviet union countries
Scientific Data, 2018Co-Authors: Myroslava Lesiv, Dmitry Schepaschenko, Elena Moltchanova, M Durauer, Alexander V Prishchepov, Florian Schierhorn, Stephan Estel, Tobias KuemmerleAbstract:Knowledge of the spatial distribution of agricultural abandonment following the collapse of the Soviet Union is highly uncertain. To help improve this situation, we have developed a new map of arable and Abandoned Land for 2010 at a 10 arc-second resolution. We have fused together existing Land cover and Land use maps at different temporal and spatial scales for the former Soviet Union (fSU) using a training data set collected from visual interpretation of very high resolution (VHR) imagery. We have also collected an independent validation data set to assess the map accuracy. The overall accuracies of the map by region and country, i.e. Caucasus, Belarus, Kazakhstan, Republic of Moldova, Russian Federation and Ukraine, are 90±2%, 84±2%, 92±1%, 78±3%, 95±1%, 83±2%, respectively. This new product can be used for numerous applications including the modelling of biogeochemical cycles, Land-use modelling, the assessment of trade-offs between ecosystem services and Land-use potentials (e.g., agricultural production), among others. Machine-accessible metadata file describing the reported data (ISA-Tab format)
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spatial distribution of arable and Abandoned Land across former soviet union countries
EconStor Open Access Articles, 2018Co-Authors: Myroslava Lesiv, Dmitry Schepaschenko, Elena Moltchanova, M Durauer, Alexander V Prishchepov, Florian Schierhorn, Stephan Estel, Tobias KuemmerleAbstract:Knowledge of the spatial distribution of agricultural abandonment following the collapse of the Soviet Union is highly uncertain. To help improve this situation, we have developed a new map of arable and Abandoned Land for 2010 at a 10 arc-second resolution. We have fused together existing Land cover and Land use maps at different temporal and spatial scales for the former Soviet Union (fSU) using a training data set collected from visual interpretation of very high resolution (VHR) imagery. We have also collected an independent validation data set to assess the map accuracy. The overall accuracies of the map by region and country, i.e. Caucasus, Belarus, Kazakhstan, Republic of Moldova, Russian Federation and Ukraine, are 90±2%, 84±2%, 92±1%, 78±3%, 95±1%, 83±2%, respectively. This new product can be used for numerous applications including the modelling of biogeochemical cycles, Land-use modelling, the assessment of trade-offs between ecosystem services and Land-use potentials (e.g., agricultural production), among others.
