Plant cover is related to vegetation and soil features in limestone screes colonization: A case study in the Italian Alps

Giupponi, Luca; Leoni, Valeria; Pedrali, Davide; Zuccolo, Marco; Cislaghi, Alessio

doi:10.1007/s11104-022-05760-3

Cited by 4 publications

(1 citation statement)

References 62 publications

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“…These major vegetation groups types exist in the area due to the specific site conditions (Environmental factors) Rahman et al 15 . The grouping of plants species into identifiable plant groups is the consequences of the prevailing environmental conditions Giuponi et al 16 .…”

Section: Discussionmentioning

confidence: 99%

Multivariate analysis of the summer herbaceous vegetation and environmental factors of the sub-tropical region

Ullah,

Muhammad,

Shah

et al. 2024

Sci Rep

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Understanding the distribution of the plant species of an unexplored area is the utmost need of the present-day. In order to collect vegetation data, Quadrat method was used having size of 1 m2. The composite soil samples from each site were tested for various edaphic properties. PC-ORD v.5 was used for the classification of the vegetation while CANOCO v.5.1 was used for ordination of the data and to find out the complex relationship between plants and environment. Survey was conducted during summer season and a total of 216 herbaceous species were recorded from forty different sites of District Kohat, Pakistan. Cluster Analysis (CA) and Two-Way Cluster Analysis (TWCA) classified the vegetation of forty sites into six major plant groups i.e., 1. Paspalum paspalodes, Alternanthera sessilis, Typha domingensis, 2. Cynodon dactylon, Parthenium hysterophorus, Brachiaria ramosa, 3. Cynodon dactylon, Eragrostis minor, Cymbopogon jwarancusa, 4. Cymbopogon jwarancusa, Aristida adscensionis, Boerhavia procumbens, 5. Cymbopogon jwarancusa, Aristida adscensionis, Pennisetum orientale and 6. Heteropogon contortus, Bothriochloa ischaemum, Chrysopogon serrulatus. They were named after the dominant species based on their Importance Value (IV). The detrended correspondence analysis (DCA) analysis further confirmed the vegetation classification. Canonical correspondence analysis (CCA) indicated that the species distribution in the area was strongly affected by various environmental factors including status, soil characteristics, topography and altitude.

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Section: Discussionmentioning

confidence: 99%

Multivariate analysis of the summer herbaceous vegetation and environmental factors of the sub-tropical region

Ullah,

Muhammad,

Shah

et al. 2024

Sci Rep

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Impact of Simulated Natural Reshaping of Abandoned Mining Terrain in Plateau Valleys on Plant Community Structure and Function

Chen

2024

E3S Web Conf.

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In this article, a technique called simulated natural reshaping was described, which is used to restore abandoned mining terrain in plateau valleys. The research results showed that research techniques were effective in improving soil quality, increasing biomass, enhancing species diversity, and strengthening ecosystem stability. Simply put, it accelerated the progress of ecological restoration by simulating the restoration process of natural ecosystems. Through this method, a significant increase in nitrogen, phosphorus, and potassium content in the soil, as well as an increase in biomass, can be observed. The Shannon diversity index increased from 1.34 to 1.9, and plant coverage recovered to 80%. Of course, this research has some limitations, such as not considering the possible impact of other environmental factors on the recovery effect. Anyway, the experimental results showed that the simulated natural reshaping technology effectively promoted the ecological restoration of abandoned mining areas, and enhanced the function and stability of the ecosystem.

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Soil and Land Cover Interrelationships: An Analysis Based on the Jenny’s Equation

2023

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This research analyzes the relationships between “soil” and “organisms” within the framework of the Jenny equation, a fundamental expression in soil science that is the theoretical basis for modeling the complex occurrence of soils on landscapes. This analysis is based on the interpretation of the indeterminate function “f” of the equation as “statistical dependence between categorical variables”. The categories of the “soil” component of the equation have been defined as “diagnostic horizons”, and those of the “organisms” factor as synthetic types of “land cover”. After applying these criteria to 424 soil profiles studied in a region with an oceanic climate in northern Spain, a multiple correspondence analysis showed pedologically consistent groupings between diagnostic horizons and categories of climate, land cover, relief, and parent material factors. Subsequently, a bivariate analysis detailed pedologically consistent relationships between diagnostic horizons and land cover categories. In the context the scarcity of quantitative information on soil and forming factor relationships, this work provides criteria to statistically assess the role of land cover in such relationships. This soil forming factor is the one whose spatial representation is more generalized and detailed, hence its interest in the development of soil mapping models.

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Plant cover is related to vegetation and soil features in limestone screes colonization: A case study in the Italian Alps

Cited by 4 publications

References 62 publications

Multivariate analysis of the summer herbaceous vegetation and environmental factors of the sub-tropical region

Multivariate analysis of the summer herbaceous vegetation and environmental factors of the sub-tropical region

Impact of Simulated Natural Reshaping of Abandoned Mining Terrain in Plateau Valleys on Plant Community Structure and Function

Soil and Land Cover Interrelationships: An Analysis Based on the Jenny’s Equation

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