Your browser doesn't support javascript.
loading
Unraveling ecosystem functioning in intertidal soft sediments: the role of density-driven interactions.
Schenone, Stefano; Thrush, Simon F.
Afiliação
  • Schenone S; Institute of Marine Science, University of Auckland, Auckland, 1142, New Zealand. ssch901@aucklanduni.ac.nz.
  • Thrush SF; Institute of Marine Science, University of Auckland, Auckland, 1142, New Zealand.
Sci Rep ; 10(1): 11909, 2020 07 17.
Article em En | MEDLINE | ID: mdl-32681058
ABSTRACT
Although they only occupy a relatively small portion of the surface of the planet, coastal habitats are some of the most productive and valued ecosystems in the world. Among these habitats, tidal flats are an important component of many harbours and estuaries, but their deterioration due to human activities poses a serious threat to biodiversity and ecosystem function. Benthic communities are usually arranged in patches dominated by key species with overlapping distributions. Understanding the ecological consequences of interactions between these species in transition zones where their habitats overlap is necessary in order to quantify their contribution to overall ecosystem functioning and to scale-up and generalize results. Spatial transition in abundance and the interaction of multiple factors that drive ecosystem function are complex processes that require real-world research. Through a multi-site mensurative experiment, we show that transition areas drive non-linear effects on biogeochemical fluxes that have important implications for quantifying overall functioning. In our study the main drivers of ecosystem function were the abundance of two large but functionally very different species rather than biodiversity per se. Furthermore, we demonstrate that the use of the biogenic features created by specific infaunal species at the sediment-water interface is a better predictor of ecosystem functioning than the density of the species per se, making this approach particularly appealing for large scale, mapping and monitoring studies.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article