Agri-ecological dataset from vegetation surveys on organic legume fields in Tuscany, Italy

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

Organisationseinheiten

Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Aufsatznummer110306
FachzeitschriftData in Brief
Jahrgang54
Frühes Online-Datum11 März 2024
PublikationsstatusElektronisch veröffentlicht (E-Pub) - 11 März 2024

Abstract

Legumes are becoming increasingly important regarding the transformation of food consumption and production systems towards more sustainability. Apart from supporting and production services, legumes can also enhance biodiversity in agroecosystems. In this dataset, we present results from vegetation surveys of 244 samplings on 32 lentil and chickpea fields of five organic farms in Tuscany, Italy. Centre and edge zones of the fields were surveyed separately. Additionally, the dataset provides a comprehensive summary of the associated management practices applied to the respective fields as well as a characterisation of the site conditions through soil texture, organic matter, local weather data during the legume growing period and the diversity of the field's landscape contexts. This additional extensive characterisation of the management system and environment allows the data to be used for a variety of multivariate analysis on biodiversity and agroecosystems.

ASJC Scopus Sachgebiete

Zitieren

Agri-ecological dataset from vegetation surveys on organic legume fields in Tuscany, Italy. / Vollheyde, Anna-Lena; Haaren, Christina von.
in: Data in Brief, Jahrgang 54, 110306, 06.2024.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Vollheyde A-L, Haaren CV. Agri-ecological dataset from vegetation surveys on organic legume fields in Tuscany, Italy. Data in Brief. 2024 Jun;54:110306. Epub 2024 Mär 11. doi: 10.1016/j.dib.2024.110306
Download
@article{d49951d9388140c79ba903a8d26401e8,
title = "Agri-ecological dataset from vegetation surveys on organic legume fields in Tuscany, Italy",
abstract = "Legumes are becoming increasingly important regarding the transformation of food consumption and production systems towards more sustainability. Apart from supporting and production services, legumes can also enhance biodiversity in agroecosystems. In this dataset, we present results from vegetation surveys of 244 samplings on 32 lentil and chickpea fields of five organic farms in Tuscany, Italy. Centre and edge zones of the fields were surveyed separately. Additionally, the dataset provides a comprehensive summary of the associated management practices applied to the respective fields as well as a characterisation of the site conditions through soil texture, organic matter, local weather data during the legume growing period and the diversity of the field's landscape contexts. This additional extensive characterisation of the management system and environment allows the data to be used for a variety of multivariate analysis on biodiversity and agroecosystems.",
keywords = "Biodiversity, Flora, Pulses, Sustainable agriculture, Weeds",
author = "Anna-Lena Vollheyde and Haaren, {Christina von}",
note = "This study is funded by the Federal Ministry of Education and Research (BMBF) (FKZ 01DH20007) under the PRIMA (Partnership for Research and Innovation in the Mediterranean Area) international funding initiative.",
year = "2024",
month = mar,
day = "11",
doi = "10.1016/j.dib.2024.110306",
language = "English",
volume = "54",

}

Download

TY - JOUR

T1 - Agri-ecological dataset from vegetation surveys on organic legume fields in Tuscany, Italy

AU - Vollheyde, Anna-Lena

AU - Haaren, Christina von

N1 - This study is funded by the Federal Ministry of Education and Research (BMBF) (FKZ 01DH20007) under the PRIMA (Partnership for Research and Innovation in the Mediterranean Area) international funding initiative.

PY - 2024/3/11

Y1 - 2024/3/11

N2 - Legumes are becoming increasingly important regarding the transformation of food consumption and production systems towards more sustainability. Apart from supporting and production services, legumes can also enhance biodiversity in agroecosystems. In this dataset, we present results from vegetation surveys of 244 samplings on 32 lentil and chickpea fields of five organic farms in Tuscany, Italy. Centre and edge zones of the fields were surveyed separately. Additionally, the dataset provides a comprehensive summary of the associated management practices applied to the respective fields as well as a characterisation of the site conditions through soil texture, organic matter, local weather data during the legume growing period and the diversity of the field's landscape contexts. This additional extensive characterisation of the management system and environment allows the data to be used for a variety of multivariate analysis on biodiversity and agroecosystems.

AB - Legumes are becoming increasingly important regarding the transformation of food consumption and production systems towards more sustainability. Apart from supporting and production services, legumes can also enhance biodiversity in agroecosystems. In this dataset, we present results from vegetation surveys of 244 samplings on 32 lentil and chickpea fields of five organic farms in Tuscany, Italy. Centre and edge zones of the fields were surveyed separately. Additionally, the dataset provides a comprehensive summary of the associated management practices applied to the respective fields as well as a characterisation of the site conditions through soil texture, organic matter, local weather data during the legume growing period and the diversity of the field's landscape contexts. This additional extensive characterisation of the management system and environment allows the data to be used for a variety of multivariate analysis on biodiversity and agroecosystems.

KW - Biodiversity

KW - Flora

KW - Pulses

KW - Sustainable agriculture

KW - Weeds

UR - http://www.scopus.com/inward/record.url?scp=85187962509&partnerID=8YFLogxK

U2 - 10.1016/j.dib.2024.110306

DO - 10.1016/j.dib.2024.110306

M3 - Article

VL - 54

JO - Data in Brief

JF - Data in Brief

M1 - 110306

ER -

Von denselben Autoren