Literature DB >> 17307240

Soil phosphorus forms as quality indicators of soils under different vegetation covers.

María-Belén Turrión1, Olga López, Francisco Lafuente, Rafael Mulas, César Ruipérez, Alberto Puyo.   

Abstract

The type of vegetation cover determines the physicochemical and biological properties of the soil over which they are developing. The objective of this study was to determine the effect of different vegetation covers on the forms of soil phosphorus, in order to know which of these forms can be used as a soil quality indicator. The experimental area was located on the acidic plateau at the North of Palencia (North Spain), where an area was selected vegetation covers very close to each other: pine (Pinus sylvestris), oak (Quercus pyrenaica), and three different shrub species (Arctostaphylos uva-ursi, Erica australis and Halimium alyssoides). The Ah horizon was sampled and pH, total organic C (C(org)), total N (N), cationic exchange capacity (CEC), sum of bases (S) and P forms by a sequential fractionation were analysed. Results showed that oak and A. uva-ursi improve the considered soil parameters (pH, C(org)/N ratio, CEC, and S) and provide soils of better quality. Inorganic soil P forms were influenced in greater extent by the vegetation cover than were P organic forms. Labile inorganic P forms could be used as indicators of soil quality. The organic P forms were less sensitive than inorganic ones to the indicated improvements.

Entities:  

Year:  2007        PMID: 17307240     DOI: 10.1016/j.scitotenv.2007.01.037

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Linking soil variability with plant community composition along a mine-slope topographic gradient: Implications for restoration.

Authors:  Daphne López-Marcos; María Belén Turrión; Carolina Martínez-Ruiz
Journal:  Ambio       Date:  2019-05-07       Impact factor: 5.129

2.  Monitoring vegetation cover in Chongqing between 2001 and 2010 using remote sensing data.

Authors:  Qiang Xiao; Jianping Tao; Yang Xiao; Feng Qian
Journal:  Environ Monit Assess       Date:  2017-09-08       Impact factor: 2.513

  2 in total

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