Does the growth rate of drifting<i>Furcellaria lumbricalis</i>and<i>Coccotylus truncatus</i>depend on their proportion and density?

Paalme, Tiina; Kotta, Jonne; Kersen, Priit

doi:10.3176/proc.2013.2.08

Cited by 7 publications

(4 citation statements)

References 34 publications

(29 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…SDMs often neglect species interactions 62 , which impedes the effectiveness of climate change projections, as biotic interactions (e.g. mutualism, competition and predation) may constrain the responses of species 10,61,63,64 .…”

Section: Discussionmentioning

confidence: 99%

Integrating experimental and distribution data to predict future species patterns

Kotta

Vanhatalo

Jänes

et al. 2019

Sci Rep

View full text Add to dashboard Cite

Predictive species distribution models are mostly based on statistical dependence between environmental and distributional data and therefore may fail to account for physiological limits and biological interactions that are fundamental when modelling species distributions under future climate conditions. Here, we developed a state-of-the-art method integrating biological theory with survey and experimental data in a way that allows us to explicitly model both physical tolerance limits of species and inherent natural variability in regional conditions and thereby improve the reliability of species distribution predictions under future climate conditions. By using a macroalga-herbivore association (Fucus vesiculosus - Idotea balthica) as a case study, we illustrated how salinity reduction and temperature increase under future climate conditions may significantly reduce the occurrence and biomass of these important coastal species. Moreover, we showed that the reduction of herbivore occurrence is linked to reduction of their host macroalgae. Spatial predictive modelling and experimental biology have been traditionally seen as separate fields but stronger interlinkages between these disciplines can improve species distribution projections under climate change. Experiments enable qualitative prior knowledge to be defined and identify cause-effect relationships, and thereby better foresee alterations in ecosystem structure and functioning under future climate conditions that are not necessarily seen in projections based on non-causal statistical relationships alone.

show abstract

Section: Discussionmentioning

confidence: 99%

Integrating experimental and distribution data to predict future species patterns

Kotta

Vanhatalo

Jänes

et al. 2019

Sci Rep

View full text Add to dashboard Cite

show abstract

“…At a certain threshold level, however, the community photosynthetic production levels off as the lower photosynthetic tissue in the community has an unused photosynthetic potential (Binzer & Middelboe 2005). Thus, the highest photosynthetic yield is expected in communities expressing a mixture of traits that are interactively boosting the efficiency of light absorption at community level (Paalme, Kotta & Kersen 2013).…”

Section: Discussionmentioning

confidence: 99%

Functional traits of marine macrophytes predict primary production

et al. 2016

View full text Add to dashboard Cite

Summary The relationship between community structure and the functioning of ecosystems is the subject of ongoing debate. Biological or functional trait‐based approaches that capture life strategy, morphology and behavioural characteristics have received far less attention than taxonomic diversity in this context, despite their more intuitive link to ecosystem functioning. Macrophyte primary production underpins aquatic food webs, regulates benthic and pelagic ecosystems and is a key aspect of the global carbon cycle. This study spans a range of aquatic biomes across Europe and aims to examine potential for predicting primary production of macrophyte communities based on the functional traits of species and identify the traits that are the most informative indicators of macrophyte production. Macrophyte primary production was assessed based on the oxygen production of the whole community, linked to biomasses of selected biological traits derived of its component species and analysed using the novel boosted regression trees modelling technique. Results showed that functional traits derived from macrophyte community data explained most of the variation in primary production of macrophyte communities without the need to incorporate environmental data on the habitats. Macrophyte primary production was influenced by a combination of tolerance, morphology and life habit traits; however tolerance traits contributed most of variability in macrophyte primary production when all traits were analysed jointly. This study also showed the existence of trait clustering as the studied trait categories were not fully independent; strong interlinkages between and within trait categories emerged. Our study suggests that functional trait analysis captures different aspects of ecosystem functioning and thereby enables assessing primary production of macrophyte communities over geographically distinct areas without extensive taxonomic and environmental data. This could result in a novel framework through which a simplification of the general procedure of production estimations and comparisons across environmental gradients can be achieved. A http://onlinelibrary.wiley.com/doi/10.1111/1365-2435.12798/suppinfo is available for this article.

show abstract

“…The third process, shelf-shading, is one of the most critical biological limitations because it sets an actual threshold for realized photosynthesis along vertical light gradient within macroalgal assemblages (Binzer et al, 2006;Tait and Schiel, 2010). The effect is stronger with increasing algal densities (Kotta et al, 2008;Paalme et al, 2013;Pärnoja et al, 2014) and in extreme cases, e.g., within giant kelp forests, only a fraction of light above algal canopy reaches the basal subcanopy species (Reed and Foster, 1984). This has large but mostly unknown affects on photosynthesis and growth of macroalgal assemblages.…”

Section: Introductionmentioning

confidence: 99%

Scale-Specific Patterns of the Production of the Charophyte Chara aspera in the Brackish Baltic Sea: Linking Individual and Community Production and Biomass Growth

et al. 2021

View full text Add to dashboard Cite

An understanding of the nature of scale-dependence in macroalgal production and to quantify how primary production is incorporated into autotrophic biomass requires an assessment of primary production at multiple scales. In this study we experimentally estimated seasonal variability in individual photosynthesis, community production and growth in biomass of the charophyte Chara aspera in the Baltic Sea together with the key environmental variables known to regulate the production of macroalgae. The experiments suggested that the production and growth of C. aspera was defined largely by light and temperature at all studied scales. However, the algal production at the same light levels was systematically lower at the community than an individual level, suggesting the importance of shelf-shading and below-ground processes in natural plant assemblages. Moreover, the observation scale also defined response types between the environment, plant production and growth. This implies that the patterns of variability of the production and growth of macrophytes should always be interpreted in the context of scale and any multiscale model development should involve experimental validation at all important scales.

show abstract

Does the growth rate of driftingFurcellaria lumbricalisandCoccotylus truncatusdepend on their proportion and density?

Cited by 7 publications

References 34 publications

Integrating experimental and distribution data to predict future species patterns

Integrating experimental and distribution data to predict future species patterns

Functional traits of marine macrophytes predict primary production

Scale-Specific Patterns of the Production of the Charophyte Chara aspera in the Brackish Baltic Sea: Linking Individual and Community Production and Biomass Growth

Contact Info

Product

Resources

About