Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Dataset Open Access |
| Language: | en |
| Published: |
PANGAEA
2012
|
| Subjects: | |
| Online Access: | https://doi.org/10.1594/PANGAEA.789801 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1867169053341122560 |
|---|---|
| author | Perrino, Enrico Vito Brunetti, Gennaro Rovira, Soler Pedro Senesi, Nicola Farrag, Karam |
| author_facet | Perrino, Enrico Vito Brunetti, Gennaro Rovira, Soler Pedro Senesi, Nicola Farrag, Karam |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | A phytosociological study was conducted in the National Park of Alta Murgia in the Apulia region (Southern Italy) to determine the adverse effects of metal contamination of soils on the distribution of plant communities. The phytosociological analyses have shown a remarkable biodiversity of vegetation on non-contaminated soils, while biodiversity appeared strongly reduced on metal-contaminated soils. The area is naturally covered by a wide steppic grassland dominated by Stipa austroitalica Martinovsky subsp. austroitalica. Brassicaceae such as Sinapis arvensis L. are the dominating species on moderated contaminated soils, whereas spiny species of Asteraceae such as Silybum marianum (L.) Gaertn. and Carduus pycnocephalus L. subsp. pycnocephalus are the dominating vegetation on heavily metal-contaminated soils. The presence of these spontaneous species on contaminated soils suggest their potential for restoration of degraded lands by phytostabilization strategy. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_789801 |
| institution | PANGAEA |
| language | en |
| publishDate | 2012 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Chemical anlysis of plant communities from Southern Italy Perrino, Enrico Vito Brunetti, Gennaro Rovira, Soler Pedro Senesi, Nicola Farrag, Karam Altamura; Altamura, Apulia, Italy; Cadmium; Cadmium, standard deviation; Chromium; Chromium, standard deviation; Code; Copper; Copper, standard deviation; DATE/TIME; Event label; Geological sample; GEOS; Gravina_in_Puglia; Gravina in Puglia, Apulia, Italy; LATITUDE; Lead; Lead, standard deviation; LONGITUDE; Nickel; Nickel, standard deviation; Number; Sample code/label; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; UTM Zone, Universal Transverse Mercator; Vegetation type; Zinc; Zinc, standard deviation A phytosociological study was conducted in the National Park of Alta Murgia in the Apulia region (Southern Italy) to determine the adverse effects of metal contamination of soils on the distribution of plant communities. The phytosociological analyses have shown a remarkable biodiversity of vegetation on non-contaminated soils, while biodiversity appeared strongly reduced on metal-contaminated soils. The area is naturally covered by a wide steppic grassland dominated by Stipa austroitalica Martinovsky subsp. austroitalica. Brassicaceae such as Sinapis arvensis L. are the dominating species on moderated contaminated soils, whereas spiny species of Asteraceae such as Silybum marianum (L.) Gaertn. and Carduus pycnocephalus L. subsp. pycnocephalus are the dominating vegetation on heavily metal-contaminated soils. The presence of these spontaneous species on contaminated soils suggest their potential for restoration of degraded lands by phytostabilization strategy. |
| title | Chemical anlysis of plant communities from Southern Italy |
| topic | Altamura; Altamura, Apulia, Italy; Cadmium; Cadmium, standard deviation; Chromium; Chromium, standard deviation; Code; Copper; Copper, standard deviation; DATE/TIME; Event label; Geological sample; GEOS; Gravina_in_Puglia; Gravina in Puglia, Apulia, Italy; LATITUDE; Lead; Lead, standard deviation; LONGITUDE; Nickel; Nickel, standard deviation; Number; Sample code/label; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; UTM Zone, Universal Transverse Mercator; Vegetation type; Zinc; Zinc, standard deviation |
| url | https://doi.org/10.1594/PANGAEA.789801 |