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The value of biodiversity for the functioning of tropical forests: insurance effects during the first decade of the Sabah biodiversity experiment.

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TLDR
The results reveal the species differences required for potential insurance effects including a trade-off in which species with denser wood have lower growth rates but higher survival, and average survival rates were extreme in monocultures than mixtures.
Abstract
One of the main environmental threats in the tropics is selective logging, which has degraded large areas of forest. In southeast Asia, enrichment planting with seedlings of the dominant group of dipterocarp tree species aims to accelerate restoration of forest structure and functioning. The role of tree diversity in forest restoration is still unclear, but the ‘insurance hypothesis’ predicts that in temporally and spatially varying environments planting mixtures may stabilize functioning owing to differences in species traits and ecologies. To test for potential insurance effects, we analyse the patterns of seedling mortality and growth in monoculture and mixture plots over the first decade of the Sabah biodiversity experiment. Our results reveal the species differences required for potential insurance effects including a trade-off in which species with denser wood have lower growth rates but higher survival. This trade-off was consistent over time during the first decade, but growth and mortality varied spatially across our 500 ha experiment with species responding to changing conditions in different ways. Overall, average survival rates were extreme in monocultures than mixtures consistent with a potential insurance effect in which monocultures of poorly surviving species risk recruitment failure, whereas monocultures of species with high survival have rates of self-thinning that are potentially wasteful when seedling stocks are limited. Longer-term monitoring as species interactions strengthen will be needed to more comprehensively test to what degree mixtures of species spread risk and use limited seedling stocks more efficiently to increase diversity and restore ecosystem structure and functioning.

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Citations
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Journal ArticleDOI

Diversity and forest productivity in a changing climate

TL;DR: A conceptual framework is suggested to explain the various processes leading to higher productivity of species-rich forests compared with average yields of their respective monocultures and provides three pathways for possible development of the diversity-productivity relationship under a changing climate.
Journal ArticleDOI

Quantifying effects of biodiversity on ecosystem functioning across times and places.

TL;DR: A new approach is developed and applied to estimate these previously unquantified insurance effects of biodiversity on ecosystem functioning that arise due to species turnover across times and places, and it is found that total insurance effects are positive in sign and substantial in magnitude.
Journal ArticleDOI

Synthesis and future research directions linking tree diversity to growth, survival, and damage in a global network of tree diversity experiments

TL;DR: Findings from TreeDivNet indicate that tree diversity experiments are extending BEF research across systems and scales, complementing previous BEF work in grasslands by providing opportunities to use remote sensing and spectral approaches to study BEF dynamics, integrate belowground and aboveground approaches, and trace the consequences of tree physiology for ecosystem functioning.
References
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Journal Article

R: A language and environment for statistical computing.

R Core Team
- 01 Jan 2014 - 
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
Journal ArticleDOI

Fitting Linear Mixed-Effects Models Using lme4

TL;DR: In this article, a model is described in an lmer call by a formula, in this case including both fixed-and random-effects terms, and the formula and data together determine a numerical representation of the model from which the profiled deviance or the profeatured REML criterion can be evaluated as a function of some of model parameters.
Book

Mixed-Effects Models in S and S-PLUS

TL;DR: Linear Mixed-Effects and Nonlinear Mixed-effects (NLME) models have been studied in the literature as mentioned in this paper, where the structure of grouped data has been used for fitting LME models.
Journal ArticleDOI

The maintenance of species-richness in plant communities: the importance of the regeneration niche

TL;DR: It is shown that when an individual dies, it may or may not be replaced by an individual of the same species, which is all‐important to the argument presented.
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