ReviewFrontiers in plant science2013
Analyzing spatial patterns linked to the ecology of herbivores and their natural enemies in the soil.
Review in Frontiers in plant science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Upgrading Strategies for Managing Nematode Pests on Profitable Crops.Plants (Basel, Switzerland) · 2024Review
- Entomopathogenic nematodes and their symbiotic bacteria: from genes to field uses.Frontiers in insect science · 2023Review
- Exploiting Plant-Phytonematode Interactions to Upgrade Safe and Effective Nematode Control.Life (Basel, Switzerland) · 2022Review
- Optimizing Sampling and Extraction Methods for Plant-Parasitic and Entomopathogenic Nematodes.Plants (Basel, Switzerland) · 2021Review
- Belowground Microbiota and the Health of Tree Crops.Frontiers in microbiology · 2018Review
- Combined Field Inoculations ofFrontiers in plant science · 2017Article
- Concilience in Entomopathogenic Nematode Responses to Water Potential and Their Geospatial Patterns in Florida.Frontiers in microbiology · 2016Article
- Editorial: Above-belowground interactions involving plants, microbes and insects.Frontiers in plant science · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Modern agricultural systems can benefit from the application of concepts and models from applied ecology. When understood, multitrophic interactions among plants, pests, diseases and their natural enemies can be exploited to increase crop production and reduce undesirable environmental impacts. Although the understanding of subterranean ecology is rudimentary compared to the perspective aboveground, technologies today vastly reduce traditional obstacles to studying cryptic communities. Here we emphasize advantages to integrating as much as possible the use of these methods in order to leverage the information gained from studying communities of soil organisms. PCR-based approaches to identify and quantify species (real time qPCR and next generation sequencing) greatly expand the ability to investigate food web interactions because there is less need for wide taxonomic expertise within research programs. Improved methods to capture and measure volatiles in the soil atmosphere in situ make it possible to detect and study chemical cues that are critical to communication across trophic levels. The application of SADIE to directly assess rather than infer spatial patterns in belowground agroecosystems has improved the ability to characterize relationships between organisms in space and time. We review selected methodology and use of these tools and describe some of the ways they were integrated to study soil food webs in Florida citrus orchards with the goal of developing new biocontrol approaches.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.