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Disentangling the interrelated abiotic and biotic pathways linking landscape composition and crop production
<p><span>Landscape composition and its related functional agrobiodiversity (FAB) was severely simplified during the last decades. As landscape composition is expected to influence the interrelated microclimate and arthropod community at different scales, this simplification might have led to a decline in multiple agro-ecosystem services, with potential impacts for the growth of crops with different demands from the environment. </span></p> <p><span>To study landscape-scale effects on multi-crop yield and herbivory in combination with its potential drivers, including functional arthropod community and microclimate, we used standardised 1 m² mini-gardens planted with ten different vegetable crops as phytometers. The gardens were installed at locations varying in surrounding landscape composition and </span><span>the vegetables were selected to have contrasting requirements in terms of growing conditions, pollination services, and susceptibility to pests. Monitoring of the mini-gardens was performed in 2018 and 2019 in Flanders (Belgium). </span></p> <p><span>We found no relationship between landscape composition in a 500 meter radius and crop yield. Considering possible mechanisms, we found that an increasing share of woody vegetation (> 3 m high) in the surrounding landscape is important to buffer the temperature and soil moisture variation in the mini-gardens. The share of agricultural land use and urban green (< 3 m high) is, respectively, positively and negatively related with the activity-density of natural enemies and pollinators. The growth of different crops responded differently to higher temperature ranges and we found no relation between natural enemies and herbivory. In conclusion, these abiotic and biotic pathways did not cause an overall relationship between landscape composition and yield.</span></p>
Do large-scale associations in birds imply biotic interactions or environmental filtering?
<p><strong>Aim</strong>: There has been a wide interest in the effect of biotic interactions on species' occurrences and abundances at large spatial scales, coupled with a vast development of the statistical methods to study them. Still, the evidence whether the effects of within-trophic level biotic interactions (e.g. competition and heterospecific attraction) are discernible beyond local scales remains inconsistent. Here, we present a novel hypothesis-testing framework based on joint dynamic species distribution models (JDSDMs) and functional trait similarity to dissect between environmental filtering and biotic interactions. </p> <p><strong>Location</strong>: France and Finland. </p> <p><strong>Taxon</strong>: Birds. </p> <p><strong>Methods</strong>: We estimated species-to-species associations within a trophic level, independent of the main environmental variables (mean temperature and total precipitation) for common species at large spatial scale with joint dynamic species distribution models (VAST). We created hypotheses based on species' functionality (morphological and/or diet dissimilarity) and habitat preferences about the sign and strength of the pairwise spatio-temporal associations to estimate the extent to which they result from biotic interactions (competition, heterospecific attraction) and/or environmental filtering. </p> <p><strong>Results</strong>: Spatio-temporal associations were mostly positive (80%), followed by random (15%), and only 5% were negative. Negative spatio-temporal associations in different communities were due to a few species when they existed. The relationship between spatio-temporal association and functional dissimilarity among species was negative, which fulfills the predictions of both environmental filtering and heterospecific attraction. </p> <p><strong>Main conclusions: </strong>We showed that processes leading to species aggregation (mixture between environmental filtering and heterospecific attraction) seem to dominate assembly rules, and we did not find evidence for competition. Altogether, hypothesis-testing framework based on joint dynamic species distribution models and functional trait similarity is beneficial in ecological interpretation of species-to-species associations from the long-term large-scale data. </p>
StArt Protocol for systematic review: Use of CRISPR technology in gene editing for tolerance to biotic factors in plants: A systematic review.
<p>StArt Protocol for systematic review: Use of CRISPR technology in gene editing for tolerance to biotic factors in plants: A systematic review.</p>
Fig. 26 in A Unitary Association-based conodont biozonation of the Smithian-Spathian boundary (Early Triassic) and associated biotic crisis from South China
Fig. 26 (See legend on previous page.)
Fig. 17 in A Unitary Association-based conodont biozonation of the Smithian-Spathian boundary (Early Triassic) and associated biotic crisis from South China
Fig. 17 (See legend on previous page.)
Fig. 20 in A Unitary Association-based conodont biozonation of the Smithian-Spathian boundary (Early Triassic) and associated biotic crisis from South China
Fig. 20 (See legend on previous page.)
Fig. 18 in A Unitary Association-based conodont biozonation of the Smithian-Spathian boundary (Early Triassic) and associated biotic crisis from South China
Fig. 18 (See legend on previous page.)
Fig. 16 in A Unitary Association-based conodont biozonation of the Smithian-Spathian boundary (Early Triassic) and associated biotic crisis from South China
Fig. 16 (See legend on previous page.)
Fig. 13 in A Unitary Association-based conodont biozonation of the Smithian-Spathian boundary (Early Triassic) and associated biotic crisis from South China
Fig. 13 (See legend on previous page.)
FIG. 2 in Les mantes (Dictyoptera, Mantodea) du massif du Mitaraka (Guyane), in Touroult J. (ed.), "Our Planet Reviewed" 2015 large-scale biotic survey in Mitaraka, French Guiana.
FIG. 2. — Liturgusa milleri Svenson, 2014, femelle. Photo S. Hugel.
FIG. 1 in Les mantes (Dictyoptera, Mantodea) du massif du Mitaraka (Guyane), in Touroult J. (ed.), "Our Planet Reviewed" 2015 large-scale biotic survey in Mitaraka, French Guiana.
FIG. 1. — Bantia fusca Chopard, 1912, mâle. Photo S. Hugel.
FIG. 6 in Les mantes (Dictyoptera, Mantodea) du massif du Mitaraka (Guyane), in Touroult J. (ed.), "Our Planet Reviewed" 2015 large-scale biotic survey in Mitaraka, French Guiana.
FIG. 6. — Plesiacanthops tuberculata (Saussure, 1870), juvénile. Photo S. Hugel.
FIG. 5 in Les mantes (Dictyoptera, Mantodea) du massif du Mitaraka (Guyane), in Touroult J. (ed.), "Our Planet Reviewed" 2015 large-scale biotic survey in Mitaraka, French Guiana.
FIG. 5. — Paratithrone royi Lombardo, 1996, femelle. Photos S. Hugel.
Figure 1 in Macroinvertebrate-based biotic indices for evaluating the water quality of Kargı Stream (Antalya, Turkey)
Figure 1. Study area and stations.
Fig. 1 in Biotic and abiotic factors influencing the prevalence, intensity and distribution of Eucoleus aerophilus and Crenosoma vulpis in red foxes, Vulpes vulpes from Romania
Fig. 1. Distribution of Crenosoma vulpis and Eucoleus aerophilus in Romania.
Fig. 1 in Influence of biotic and abiotic factors on flea species population dynamics on Lasiopodomys brandtii
Fig. 1. Map of the study area.
Global Biotic Interactions: GloBI test snapshot- Feb 24, 2021
Global Biotic Interactions (GloBI) provides an infrastructure and data service that aggregates or combines existing biotic interaction datasets to provide easy access to biotic interaction data.<p></p>
Global Biotic Interactions: GloBI_refuted_biotic_interactions_by_EOL
Global Biotic Interactions (GloBI) provides an infrastructure and data service that aggregates or combines existing biotic interaction datasets to provide easy access to biotic interaction data.<p></p>
Global Biotic Interactions: GloBI aggregated DwC-A
Global Biotic Interactions (GloBI) provides an infrastructure and data service that aggregates or combines existing biotic interaction datasets to provide easy access to biotic interaction data.<p></p>Global Biotic Interactions (GloBI) provides an infrastructure and data service that aggregates or combines existing biotic interaction datasets to provide easy access to biotic interaction data. <p></p>https://www.globalbioticinteractions.org/
Data from: Biotic and abiotic modifications of leaf litter during dry periods affect litter mass loss and nitrogen loss during wet periods
1. Decomposition of organic matter in semiarid ecosystems is a key component of the terrestrial carbon (C) cycle. The well-known inaccuracies in predicting litter decay in water-limited regions were lessened by considering solar radiation as an abiotic decay driver of photodegradation. Moreover, exposure to high solar irradiance in dry periods often led to massive facilitation of litter decay in subsequent wet periods ("photoacceleration"), though in many studies this effect was absent. 2. Recently, water vapor and dew were identified as modulators enabling substantial microbial degradation during rainless periods. Here we asked, (i) if the activity of microorganisms modifies litter traits, such as litter quality and microbial community in dry periods, consequently altering the loss of litter mass and nitrogen (N) in wet periods, and (ii) whether it can co-occur with photoacceleration. 3. By successively introducing litter to the field at the beginning and the end of the dry season, we found that microbial activity during the dry season affected litter mass and N loss during the wet season. Low microbial activity in the dry season led to inhibition of mass loss in the wet season, while high microbial activity led to facilitation of mass loss. Microbial activity during the dry season also caused strong inhibition of N loss from litter during the wet season, likely by enhancing the dry-season N loss. A microclimate manipulation experiment using radiation filters showed that microbial activity and exposure to solar radiation jointly modified the litter during the dry season and affected subsequent decay in the wet season. 4. Knowledge of biotic and abiotic modifications of litter during dry periods and their implication for wet periods enhances our understanding of litter decay in semiarid regions. Furthermore, it can improve biogeochemical model predictions of C and N cycling in
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.