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Edith Cowan University

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Mangrove

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Articles 1 - 2 of 2

Full-Text Articles in Life Sciences

Habitat Discontinuities Form Strong Barriers To Gene Flow Among Mangrove Populations, Despite The Capacity For Long Distance Dispersal [Dataset], Rachel M. Binks, Margaret Byrne, Kathryn Mcmahon, Georgina Pitt, Kathy Murray, Richard D. Evans Jan 2019

Habitat Discontinuities Form Strong Barriers To Gene Flow Among Mangrove Populations, Despite The Capacity For Long Distance Dispersal [Dataset], Rachel M. Binks, Margaret Byrne, Kathryn Mcmahon, Georgina Pitt, Kathy Murray, Richard D. Evans

Research Datasets

Mangrove forests are among the world’s most important ecosystems but are declining rapidly worldwide. Effective conservation management requires a better understanding of the patterns and drivers of gene flow across a range of spatial scales.

Despite the capacity for long distance propagule dispersal, field studies suggest that mangrove propagules tend not to disperse far from the release point, which has important implications for the impact of habitat discontinuities on gene flow. We use a comprehensive seascape genomics approach to investigate this concept in the world’s most widely distributed mangrove species, Avicennia marina.

Location 21 sites along 2400 km of Western …


Optimal Soil Carbon Sampling Designs To Achieve Cost-Effectiveness: A Case Study In Blue Carbon Ecosystems [Dataset], Mary A. Young, Peter I. Macreadie, Clare Duncan, Paul E. Carnell, Emily Nicholson, Oscar Serrano, Carlos M. Duarte, Glenn Shiell, Jeff Baldock, Daniel Ierodiaconou Jan 2018

Optimal Soil Carbon Sampling Designs To Achieve Cost-Effectiveness: A Case Study In Blue Carbon Ecosystems [Dataset], Mary A. Young, Peter I. Macreadie, Clare Duncan, Paul E. Carnell, Emily Nicholson, Oscar Serrano, Carlos M. Duarte, Glenn Shiell, Jeff Baldock, Daniel Ierodiaconou

Research Datasets

Researchers are increasingly studying carbon (C) storage by natural ecosystems for climate mitigation, including coastal ‘blue carbon’ ecosystems. Unfortunately, little guidance on how to achieve robust, cost-effective estimates of blue C stocks to inform inventories exists. We use existing data (492 cores) to develop recommendations on the sampling effort required to achieve robust estimates of blue C. Using a broad-scale, spatially explicit dataset from Victoria, Australia, we applied multiple spatial methods to provide guidelines for reducing variability in estimates of soil C stocks over large areas. With a separate dataset collected across Australia, we evaluated how many samples are needed …