Climatic and biotic stochasticity: disparate causes of convergent demographies in rare, sympatric plants

Conserv Biol. 2007 Dec;21(6):1556-61. doi: 10.1111/j.1523-1739.2007.00800.x.

Abstract

Species with known demographies may be used as proxies, or approximate models, to predict vital rates and ecological properties of target species that either have not been studied or are species for which data may be difficult to obtain. These extrapolations assume that model and target species with similar properties respond in the same ways to the same ecological factors, that they have similar population dynamics, and that the similarity of vital rates reflects analogous responses to the same factors. I used two rare, sympatric annual plants (sand gilia [Gilia tenuiflora arenaria] and Monterey spineflower [Chorizanthe pungens pungens]) to test these assumptions experimentally. The vital rates of these species are similar and strongly correlated with rainfall, and I added water and/or prevented herbivore access to experimental plots. Their survival and reproduction were driven by different, largely stochastic factors and processes: sand gilia by herbivory and Monterey spineflower by rainfall. Because the causal agents and processes generating similar demographic patterns were species specific, these results demonstrate, both theoretically and empirically, that it is critical to identify the ecological processes generating observed effects and that experimental manipulations are usually needed to determine causal mechanisms. Without such evidence to identify mechanisms, extrapolations among species may lead to counterproductive management and conservation practices.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Climate*
  • Conservation of Natural Resources
  • Demography
  • Ecosystem
  • Models, Biological
  • Plants* / classification
  • Reproduction
  • Stochastic Processes
  • Water

Substances

  • Water