Unravelling the importance of forest age stand and forest structure driving microbiological soil properties, enzymatic activities and soil nutrients content in Mediterranean Spanish black pine(Pinus nigra Ar. ssp. salzmannii) Forest

Lucas‐Borja, Manuel Esteban; Hedo, Javier; Cerdà, Artemi; Candel-Pérez, David; Viñegla, Benjamı́n

doi:10.1016/j.scitotenv.2016.03.160

Cited by 133 publications

(79 citation statements)

References 48 publications

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“…Several authors have reported the prominent role of endogenous hormones in tuber formation (Abdala et al, 2002;Fujino et al, 1995;Roumeliotis et al, 2012;Lucas-Borjaa et al, 2016). The results of this study showed that under different salinity stress, the endogenous IAA and GA3 in leaves of Nanyu No.1 changed with the biomass trend of change was consistent, and the peak in the largest amount of dry matter accumulation in shoot period, which indicated that the level of IAA and GA3 in leaves increased to promote growth.…”

Section: Effect Of Salt Stress On Endogenous Hormone Concentrations Isupporting

confidence: 70%

“…Some studies suggested that salt stress and drought stress could change the distribution of dry matter in various organs of plants (Bastida et al, 2007;Lucas-Borjaa et al, 2016;Miki, 2012;Sardans and Peñuelas, 2013). The results of this study shown that when dry matter accumulation of Nanyu No.1 was maximum, the distribution proportion of dry matter in stem decreased under moderate salt stress.…”

Section: Effect Of Salt Stress On Dry Matter Accumulation In Jerusalementioning

confidence: 58%

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Balance between salt stress and endogenous hormones influence dry matter accumulation in Jerusalem artichoke

Shao

et al. 2016

Science of The Total Environment

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Section: Effect Of Salt Stress On Endogenous Hormone Concentrations Isupporting

confidence: 70%

Section: Effect Of Salt Stress On Dry Matter Accumulation In Jerusalementioning

confidence: 58%

Balance between salt stress and endogenous hormones influence dry matter accumulation in Jerusalem artichoke

Shao

et al. 2016

Science of The Total Environment

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“…The modeling indicated that if the topography was more suitable and the stand structure was more favorable then soil moisture and fertility conditions would be better. This finding was consistent with the initial empirical assumption [1][2][3][4][5][6][7]47,50], with the results of this study offering a more statistically accurate expression than previously determined. The stand structure had little effect on soil properties, all of which were negatively and directly affected, indicating that it imposed certain restrictions on the retained moisture and nutrients in the soil.…”

Section: Discussionsupporting

confidence: 93%

“…Soil variables have been observed to differ in terms of soil TN across the different canopy types [49]. Forest structure has effects on microbiological soil properties and nutrient content [50]; however, a great many of these effects still remain in the realm of single-factor impact research. Additionally, using the SEM method to explore the multi-factors, we found that the stand structure impacted soil properties with a path coefficient of −0.01.…”

Section: Stand Structure Impacted Soil Properties To a Comparatively mentioning

confidence: 99%

Relationship between Soil Characteristics and Stand Structure of Robinia pseudoacacia L. and Pinus tabulaeformis Carr. Mixed Plantations in the Caijiachuan Watershed: An Application of Structural Equation Modeling

Wei

Liang

et al. 2018

Forests

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Abstract:In order to study the multi-factor coupling relationships between typical Robinia pseudoacacia L. and Pinus tabulaeformis Carr. mixed plantations in the Caijiachuan basin of the Loess Plateau of Shanxi Province, West China, 136 sample plots were selected for building a structural equation model (SEM) of three potential variables: terrain, stand structure, and soil characteristics. Additionally, the indicators (also known as observed variables) were studied in this paper, including slope, altitude, diameter at breast height (DBH), tree height (TH), tree crown area, canopy density, stand density, leaf area index (LAI), soil moisture content, soil maximum water holding capacity (WHC), soil organic matter (SOM), total nitrogen (TN), total phosphorus (TP), ammonia-nitrogen (NH 3 -N), nitrate-nitrogen (NO 3 -N), and available phosphorus (AP). The results showed that terrain was the most important factor influencing soil moisture and nutrients, with a total impact coefficient of 1.303 and a direct path coefficient of 0.03, which represented mainly positive impacts; while correspondingly stand structure had a smaller negative impact on soil characteristics, with a total impact coefficient of −0.585 and a direct path coefficient of −0.01. The terrain also had a positive impact on the stand structure, with a total impact coefficient of 0.487 and a direct path coefficient of 0.63, indicating that the topography factors were more suitable for site conditions and both the stand structure and the soil moisture and nutrient conditions were relatively superior. By affecting the stand structure, terrain could restrict some soil, water, and nutrient functions of soil and water conservation. The influence coefficients of the four observed variables of DBH, stand density, soil water content, and organic matter, and potential variable topography reached 0.686, −0.119, 1.117, and 0.732, respectively; and the influence coefficients of soil moisture, organic matter and stand structure were −0.502 and −0.329, respectively. Therefore, besides observing the corresponding latent variables, the observed variables had a considerable indirect influence on other related latent variables. These relationships showed that the measures, such as changing micro-topography and adjusting stand density, should effectively maintain or enhance soil moisture and nutrient content so as to achieve improved soil and water conservation benefits in the ecologically important Loess Area.

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“…Soil genesis depends on factors such as vegetation cover and soil moisture, which are also related to the interaction with other factors and processes, including the human interferences with natural processes (Keesstra et al, 2016a). Vegetation controls the soil erosion processes (Vaezi et al, 2016) and interacts with the plant dynamics (Bochet et al, 2015), and soil moisture is a key factor of vegetation development (Lucas-Borja et al, 2016). Satellite-derived normalized difference vegetation index (NDVI) data, which potentially provide much greater spatial and temporal coverage, have recently played an important role in investigating the relationship between NDVI and water availability (rainfall and soil moisture) around the world.…”

Section: Introductionmentioning

confidence: 99%

Vegetation greenness response to water availability in northern China from 1982 to 2006

Zhang

2016

Solid Earth

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Abstract. Vegetation and moisture are two key factors of soil genesis and development. An evaluation of the relationship between satellite-observed normalized difference vegetation index (NDVI) data as a proxy for vegetation greenness and water availability (rainfall and soil moisture) can greatly improve our understanding of how vegetation greenness responds to water availability fluctuations. Using Sen and Pearson's correlation methods, we analyzed the spatiotemporal variation of vegetation greenness for both the entire year and the growing season (GS, 4-10) in northern China from 1982 to 2006. Although vegetation greenness and soil moisture during the study period changed significantly for the entire study area, there was no change in rainfall. Linear correlation analysis between NDVI and rainfall revealed higher correlations using data for all seasons. Higher correlations for NDVI and soil moisture were obtained using growing season data. This study highlights how strongly vegetation greenness responds to water availability dynamics, especially in the growing season period. IntroductionWater availability is generally assumed to be one of the most important parameters for vegetation greenness (Zhang et al., 2010;Huber et al., 2011;Niu et al., 2015). The soil system is the key component of the Earth system as a control for the biological, hydrological, and geochemical cycles (Keesstra et al., 2012;Smith et al., 2015;Decock et al., 2015;Brevik et al., 2015;Berendse et al., 2015). Soil genesis depends on factors such as vegetation cover and soil moisture, which are also related to the interaction with other factors and processes, including the human interferences with natural processes (Keesstra et al., 2016a). Vegetation controls the soil erosion processes (Vaezi et al., 2016) and interacts with the plant dynamics (Bochet et al., 2015), and soil moisture is a key factor of vegetation development (Lucas-Borja et al., 2016). Satellite-derived normalized difference vegetation index (NDVI) data, which potentially provide much greater spatial and temporal coverage, have recently played an important role in investigating the relationship between NDVI and water availability (rainfall and soil moisture) around the world. Soil genesis and development is to a great extent determined by the vegetation as a control for soil erosion and contribute to the biological diversity of the soils (Cerdà, 1998;Yu and Jia, 2014;Beyene, 2015;Laberge et al., 2015;Keesstra et al., 2016b). In arid and semi-arid regions, particularly in northern China, rainfall is a major factor controlling vegetation growth, and affect many soil parameters and properties (Hewelke et al., 2014;Yu et al., 2015). Much work has been done studying the relationship between vegetation greenness and rainfall (Hellden and Tottrup, 2008;Huang et al., 2012;Mu et al., 2012). Previous studies have relied on either the annual (growing season) or seasonal temporal scale to determine the interannual variation in NDVI and rainfall (Hellden and Tottrup 2008;Huang et al., 2...

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Unravelling the importance of forest age stand and forest structure driving microbiological soil properties, enzymatic activities and soil nutrients content in Mediterranean Spanish black pine(Pinus nigra Ar. ssp. salzmannii) Forest

Cited by 133 publications

References 48 publications

Balance between salt stress and endogenous hormones influence dry matter accumulation in Jerusalem artichoke

Balance between salt stress and endogenous hormones influence dry matter accumulation in Jerusalem artichoke

Relationship between Soil Characteristics and Stand Structure of Robinia pseudoacacia L. and Pinus tabulaeformis Carr. Mixed Plantations in the Caijiachuan Watershed: An Application of Structural Equation Modeling

Vegetation greenness response to water availability in northern China from 1982 to 2006

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