2018
DOI: 10.1016/j.ecolind.2017.11.003
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What drives the distribution of crab burrows in different habitats of intertidal salt marshes, Yellow River Delta, China

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Cited by 23 publications
(20 citation statements)
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“…Coverdale et al (2012) found that Sesarma reticulatum in the northeastern United States needs sediment soft enough to burrow into, but firm enough to avoid burrow collapse. Li et al (2018) working on Helice tientsinensis in the Yellow River Delta of China found crab abundance to be linked to sediment moisture and soil compressibility. Li et al (2018) working on Helice tientsinensis in the Yellow River Delta of China found crab abundance to be linked to sediment moisture and soil compressibility.…”
Section: Generality Of Distribution and Abundance Patternsmentioning
confidence: 99%
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“…Coverdale et al (2012) found that Sesarma reticulatum in the northeastern United States needs sediment soft enough to burrow into, but firm enough to avoid burrow collapse. Li et al (2018) working on Helice tientsinensis in the Yellow River Delta of China found crab abundance to be linked to sediment moisture and soil compressibility. Li et al (2018) working on Helice tientsinensis in the Yellow River Delta of China found crab abundance to be linked to sediment moisture and soil compressibility.…”
Section: Generality Of Distribution and Abundance Patternsmentioning
confidence: 99%
“…Vu and Pennings (2017) found that the same species had predictable patterns of distribution in the southeastern United States, with highest abundance near creek heads, but three other species showed no clear patterns. Li et al (2018) working on Helice tientsinensis in the Yellow River Delta of China found crab abundance to be linked to sediment moisture and soil compressibility. Overall, our broadscale assessment and species-level characterizations match these individual studies: elevation, creek proximity, and sediment conditions affect crab distribution and abundance, but there are differences among sites and crab species.…”
Section: Generality Of Distribution and Abundance Patternsmentioning
confidence: 99%
“…In particular, soil compaction or soil density of novel marshes would likely influence the capacity of crabs to burrow; i.e., more compact sediments are more difficult to burrow into. We see this in other burrowing crabs, such as Helice tientsinensis in China, which have higher burrow densities in softer and wetter sediments than harder and drier sediments that are more difficult to burrow into (Li et al, 2018). Fiddler crabs burrow to feed, avoid predation, and to mate (Bertness and Miller, 1984 .…”
mentioning
confidence: 67%
“…Aboveground biomass (AGB) in each quadrat was collected, bagged and dried for 12 h to a constant weight in an 80 • C oven. In addition, previous studies have suggested that crabs can play an important role as ecosystem engineers, with important effects on many aspects of salt marsh ecosystems including plant performance and SOC accumulation [20,30,31]. Considering that spatial patterns can serve as useful indicators for inferring ecological process in many cases [24,26,32], we characterized local spatial patterns (within the quadrats) of crab (Chiromantes dehaani was the dominant species in our study sites) burrows to quantify the effects of crab activities in a comprehensive and simple way.…”
Section: Soil Analysesmentioning
confidence: 99%
“…To further assess if indirect effects could possibly shape the SOC distribution, we used structural equation modeling to take into account the indirect effects of abiotic soil variables and crab burrows. Based on previous studies [20,30,31,36], we tested for the indirect effects of soil properties (BD, pH and EC) on SOC through affecting plant performance (AGB) and crab burrowing, and the indirect effects of crab burrowing on SOC through affecting plant AGB. These effects were represented by the following three specific causal pathways, (1) soil properties → plant AGB → SOC, (2) soil bulk density (hardness for burrowing) → crab burrowing → SOC and (3) soil bulk density → crab burrowing → plant AGB → SOC.…”
Section: Statistical Analysesmentioning
confidence: 99%