2016
DOI: 10.1007/s10668-016-9844-1
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How do people select plants for use? Matching the Ecological Apparency Hypothesis with Optimal Foraging Theory

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Cited by 35 publications
(36 citation statements)
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“…Although the different gradients can result in this complex functional response of plant species at species level, at community level wood extraction is the main factor influencing species assemblage. Humans extract wood for fuel and construction generally focusing on the most abundant and frequent woody plant species near by their residences (Soldati et al 2017), regardless of their functional group (Specht et al 2015). Therefore, it is reasonable to assume that wood removal reduces tree and shrub density, clearing the vegetation and exposing the soil, with a consequent increase in light incidence and water loss in these portions of vegetation.…”
Section: Discussionmentioning
confidence: 99%
“…Although the different gradients can result in this complex functional response of plant species at species level, at community level wood extraction is the main factor influencing species assemblage. Humans extract wood for fuel and construction generally focusing on the most abundant and frequent woody plant species near by their residences (Soldati et al 2017), regardless of their functional group (Specht et al 2015). Therefore, it is reasonable to assume that wood removal reduces tree and shrub density, clearing the vegetation and exposing the soil, with a consequent increase in light incidence and water loss in these portions of vegetation.…”
Section: Discussionmentioning
confidence: 99%
“…Similar to nonhuman foragers, humans can behave as specialists or generalists (de Albuquerque, Soldati, & Ramos, ). Plant apparency might play a more important role for generalists than for specialists, while the latter are more or less associated with special plant chemicals (Gonçalves et al., ; Soldati et al., ). Regarding human utilization, the phylogenetic structure differed distinctly from random for wide uses (food, medicines, environmental uses, food additives, materials, and weeds; D < 0.886, p random < 0.1), but this was not the case for indirect plant selection by other organisms (forage, vertebrate poisons, invertebrate food, endangered plants, nonvertebrate poisons, hosts of harmful organisms, and bee plants) or for uncommon uses (biomass energy as fuel, gene sources and social uses; D > 0.886, p random > 0.1).…”
Section: Discussionmentioning
confidence: 99%
“…Plant apparency, or plant commonness, is an important indicator of the utilization of plant resources (Feeny, ; Guèze et al., ). The plant apparency hypothesis implies that more apparent plants suffer more herbivory and, thus, invest more in quantitative chemical defenses (Feeny, ; Smilanich, Fincher, & Dyer, ; Soldati, de Medeiros, Duque‐Brasil, Coelho, & Albuquerque, ; Strauss, Cacho, Schwartz, Schwartz, & Burns, ). Such chemical weapons may reduce the number of specific enemies but not completely eliminate enemy attack.…”
Section: Introductionmentioning
confidence: 99%
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“…Although many quantitative traits, such as density, cover, or biomass, can be used to measure community dominance, the use of combinations of multiple variables may be more appropriate (Guo & Rundel, 1997). As the importance value encompasses cover, frequency, abundance, and, occasionally, diversity (Curtis & McIntosh, 1951; Gonmadje et al., 2011; Mori, Boom, de Carvalino, & dos Santos, 1983), it is expected to be a good indicator of dominance or apparency (Brandt, Zimmermann, Hensen, Mariscal Castro, & Rist, 2012; Dahdouh‐Guebas, Koedam, Satyanarayana, & Cannicci, 2011; Dahdouh‐Guebas, Verheyden, De Genst, Hettiarachchi, & Koedam, 2000; Dai, Zhang, Xu, Duffy, & Guo, 2017; Gonçalves, Albuquerque, & de Medeiros, 2016; Guèze et al., 2014; Guo, Li, Liu, & Zhou, 2012; Hu, Su, Li, Li, & Ke, 2015; Smith & Smith, 2001; Soldati, de Medeiros, Duque‐Brasil, Coelho, & Albuquerque, 2017; Thomas, Vandebroek, & Van Damme, 2009). Importance values can be applied to detect dominant species in different communities, especially along ecological gradients (Greig‐Smith, 1983; Henkel, Chambers, & Baker, 2016; Kent, 2012).…”
Section: Introductionmentioning
confidence: 99%