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      Plant trait covariance and nonlinear averaging: a reply to Koussoroplis et al.

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      Rethinking Ecology
      Pensoft Publishers

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          Abstract

          SADIE (Spatial Analysis by Distance Indices) is designed specifically to quantify patterns in spatially-referenced count-based data. It was developed for dealing with data that can be considered ‘patchy’. Such distributions are commonly found, for example, in insect populations where discrete patches of individuals are often evident. The distributions of such populations have ‘hard edges’, with patches and gaps occurring spatially. In these cases variance of abundance does not vary smoothly, but discontinuously. In this paper we outline the use of SADIE and provide free access to the SADIE software suite, establishing Rethinking Ecology as its permanent home. Finally, we review the use of SADIE and demonstrate its use in a wide variety of sub-disciplines within the general field of ecology.

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          Most cited references12

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          Meta-analysis of trade-offs among plant antiherbivore defenses: are plants jacks-of-all-trades, masters of all?

          On the basis of physiological and ecological costs of defense allocation, most plant defense theories predict the occurrence of trade-offs between resource investment in different types of antiherbivore defenses. To test this prediction, we conducted a meta-analysis of 31 studies published in 1976-2002 that provided data on covariation of different defensive traits in plant genotypes. We found no overall negative association between different defensive traits in plants; instead, the relationship between defensive traits varied from positive to negative depending on the types of co-occurring defenses. Evidence of trade-off was found only between constitutive and induced defenses. Therefore, to a large extent, plants appear to be jacks-of-all-trades, masters of all and may successfully produce several types of defense without paying considerable trade-offs. Our survey thus provides little evidence that genetic trade-offs between defensive traits significantly constrain the evolution of multiple defenses in plants.
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            Variability in plant nutrients reduces insect herbivore performance.

            The performance and population dynamics of insect herbivores depend on the nutritive and defensive traits of their host plants. The literature on plant-herbivore interactions focuses on plant trait mean values, but recent studies showing the importance of plant genetic diversity for herbivores suggest that plant trait variance may be equally important. The consequences of plant trait variance for herbivore performance, however, have been largely overlooked. Here we report an extensive assessment of the effects of within-population plant trait variance on herbivore performance using 457 performance datasets from 53 species of insect herbivores. We show that variance in plant nutritive traits substantially reduces mean herbivore performance via non-linear averaging of performance relationships that were overwhelmingly concave down. By contrast, relationships between herbivore performance and plant defence levels were typically linear, with variance in plant defence not affecting herbivore performance via non-linear averaging. Our results demonstrate that plants contribute to the suppression of herbivore populations through variable nutrient levels, not just by having low average quality as is typically thought. We propose that this phenomenon could play a key role in the suppression of herbivore populations in natural systems, and that increased nutrient heterogeneity within agricultural crops could contribute to the sustainable control of insect pests in agroecosystems.
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              Evolution by individuals, plant-herbivore interactions, and mosaics of genetic variability: The adaptive significance of somatic mutations in plants

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                Author and article information

                Journal
                Rethinking Ecology
                ReEco
                Pensoft Publishers
                2534-9260
                July 02 2019
                July 02 2019
                : 4
                : 115-118
                Article
                10.3897/rethinkingecology.4.32767
                48f6a235-1b14-449d-8b1e-8a26fcc5dca7
                © 2019

                http://creativecommons.org/licenses/by/4.0/

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