Organic greenhouse (OGH) production is characterized by different systems and agricultural practices with diverse environmental impact. Soil arthropods are widely used as bioindicators of ecological sustainability in open field studies, while there is a lack of research on organic production for protected systems. This study assessed the soil arthropod abundance and diversity over a 2-year crop rotation in three systems of OGH production in the Mediterranean. The systems under assessment differed in soil fertility management: SUBST - a simplified system of organic production, based on an input substitution approach (use of guano and organic liquid fertilizers), AGROCOM - soil fertility mainly based on compost application and agroecological services crops (ASC) cultivation (tailored use of cover crops) as part of crop rotation, and AGROMAN - animal manure and ASC cultivation as part of crop rotation. Monitoring of soil fauna was performed by using pitfall traps and seven taxa were considered: Carabidae, Staphylinidae, Araneae, Opiliones, Isopoda, Myriapoda, and Collembola. Results demonstrated high potential of ASC cultivation as a technique for beneficial soil arthropod conservation in OGH conditions. SUBST system was dominated by Collembola in all crops, while AGROMAN and AGROCOM had more balanced relative abundance of Isopoda, Staphylinidae, and Aranea. Opiliones and Myriapoda were more affected by season, while Carabidae were poorly represented in the whole monitoring period. Despite the fact that all three production systems are in accordance with the European Union regulation on organic farming, findings of this study displayed significant differences among them and confirmed the suitability of soil arthropods as bioindicators in protected systems of organic farming.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1017/S0007485317001158 | DOI Listing |
ScientificWorldJournal
December 2024
Department of Biological and Environmental Sciences, Faculty of Natural Sciences, Walter Sisulu University, Nelson Mandela Drive Campus, P/Bag X1, Mthatha 5117, Eastern Cape, South Africa.
Invertebrates form a vital component of agricultural ecosystems, and they are chief actors in sustaining the functions of the ecosystem and soil health. Scholarly publications that concentrated on visualizing the research outputs and trends on invertebrates and agriculture are scarce. In this paper, we adopted a bibliometric model to extract trends/research studies on invertebrates and agriculture between 1991 and 2022, using scholarly studies retrieved from the Web of Science (WoS) databank.
View Article and Find Full Text PDFAbstractChanging climates are driving population declines in diverse animals worldwide. Winter conditions may play an important role in these declines but are often overlooked. Animals must not only survive winter but also preserve body condition, a key determinant of growing season success.
View Article and Find Full Text PDFBMC Genomics
December 2024
Department of Agricultural Biology, Colorado State University, Fort Collins, CO, 80523, USA.
Background: Sugar beets (Beta vulgaris L.) are grown worldwide and suffer economic loss annually due to curly top disease caused by the beet curly top virus (BCTV). The virus is spread by the beet leafhopper (BLH), Circulifer tenellus Baker.
View Article and Find Full Text PDFSci Total Environ
December 2024
Amsterdam Institute for Life and Environment (A-LIFE), Faculty of Science, Vrije Universiteit Amsterdam, De Boelelaan 1108, 1081 HZ Amsterdam, the Netherlands. Electronic address:
An estimated 467 kt of plastic used in agriculture annually end up in European soils, potentially breaking down into secondary microplastics (MPs). Not much is known about the possible effects of these MPs on organisms residing in the soil. To properly assess their environmental risk, experimental data is needed on the toxicity of MPs to the survival and reproduction of model organisms.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Biosystems Engineering and Soil Sciences, The University of Tennessee, Knoxville, TN 37996, USA.
Deep learning applications in agriculture are advancing rapidly, leveraging data-driven learning models to enhance crop yield and nutrition. Tomato (), a vegetable crop, frequently suffers from pest damage and drought, leading to reduced yields and financial losses to farmers. Accurate detection and classification of tomato pests are the primary steps of integrated pest management practices, which are crucial for sustainable agriculture.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!