SynthesisPloS one2014
The trajectory of dispersal research in conservation biology. Systematic review.
Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
What it found
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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
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Estimating Dispersal Kernels for Stream Periphyton Using Drifting Lake Algae.Ecology and evolution · 2026Article
- Spatial metrics in fire ecology: seeking consistency amidst complexity.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Article
- Habitat conditions during winter explain movement among subpopulations of a declining migratory bird.Movement ecology · 2025Article
- Conservation-focused mapping of avian migratory routes using a pan-European automated telemetry network.Conservation biology : the journal of the Society for Conservation Biology · 2025Article
- A Mechanistic Approach to Animal Dispersal-Quantifying Energetics and Maximum Distances.Ecology letters · 2025Article
- The Role of Local and Upstream Colonisation in Determining Stream Periphyton Metacommunity Assemblages.Ecology and evolution · 2025Article
- Stable isotopes (Ecology and evolution · 2024Article
- disperseNN2: a neural network for estimating dispersal distance from georeferenced polymorphism data.BMC bioinformatics · 2023Article
- disperseNN2: a neural network for estimating dispersal distance from georeferenced polymorphism data.bioRxiv : the preprint server for biology · 2023Article
- Dispersal inference from population genetic variation using a convolutional neural network.Genetics · 2023Article
- Empirical landscape genetic comparison of single nucleotide polymorphisms and microsatellites in three arid-zone mammals with high dispersal capacity.Ecology and evolution · 2023Article
- Blowin' in the wind: Dispersal of Glossy IbisEcology and evolution · 2023Article
- Large-scale PVA modeling of insects in cultivated grasslands: The role of dispersal in mitigating the effects of management schedules under climate change.Ecology and evolution · 2022Article
- Phenotypic and environmental correlates of natal dispersal in a long-lived territorial vulture.Scientific reports · 2021Article
- Genetic analysis indicates spatial-dependent patterns of sex-biased dispersal in Eurasian lynx in Finland.PloS one · 2021Article
- Weather variation affects the dispersal of grasshoppers beyond their elevational ranges.Ecology and evolution · 2020Article
- Downhill seed dispersal by temperate mammals: a potential threat to plant escape from global warming.Scientific reports · 2019Article
- Disrupted dispersal and its genetic consequences: Comparing protected and threatened baboon populations (Papio papio) in West Africa.PloS one · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dispersal knowledge is essential for conservation management, and demand is growing. But are we accumulating dispersal knowledge at a pace that can meet the demand? To answer this question we tested for changes in dispersal data collection and use over time. Our systematic review of 655 conservation-related publications compared five topics: climate change, habitat restoration, population viability analysis, land planning (systematic conservation planning) and invasive species. We analysed temporal changes in the: (i) questions asked by dispersal-related research; (ii) methods used to study dispersal; (iii) the quality of dispersal data; (iv) extent that dispersal knowledge is lacking, and; (v) likely consequences of limited dispersal knowledge. Research questions have changed little over time; the same problems examined in the 1990s are still being addressed. The most common methods used to study dispersal were occupancy data, expert opinion and modelling, which often provided indirect, low quality information about dispersal. Although use of genetics for estimating dispersal has increased, new ecological and genetic methods for measuring dispersal are not yet widely adopted. Almost half of the papers identified knowledge gaps related to dispersal. Limited dispersal knowledge often made it impossible to discover ecological processes or compromised conservation outcomes. The quality of dispersal data used in climate change research has increased since the 1990s. In comparison, restoration ecology inadequately addresses large-scale process, whilst the gap between knowledge accumulation and growth in applications may be increasing in land planning. To overcome apparent stagnation in collection and use of dispersal knowledge, researchers need to: (i) improve the quality of available data using new approaches; (ii) understand the complementarities of different methods and; (iii) define the value of different kinds of dispersal information for supporting management decisions. Ambitious, multi-disciplinary research programs studying many species are critical for advancing dispersal research.
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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.