Scaling in Ecology with a Model System (eBook)

Aaron M. Ellison, Nicholas J. Gotelli (Autoren)

eBook Download: PDF

2021
338 Seiten
Princeton University Press (Verlag)
978-0-691-22278-3 (ISBN)

Infos

A groundbreaking approach to scale and scaling in ecological theory and practiceScale is one of the most important concepts in ecology, yet researchers often find it difficult to find ecological systems that lend themselves to its study. Scaling in Ecology with a Model System synthesizes nearly three decades of research on the ecology of Sarracenia purpurea-the northern pitcher plant-showing how this carnivorous plant and its associated food web of microbes and macrobes can inform the challenging question of scaling in ecology.Drawing on a wealth of findings from their pioneering lab and field experiments, Aaron Ellison and Nicholas Gotelli reveal how the Sarracenia microecosystem has emerged as a model system for experimental ecology. Ellison and Gotelli examine Sarracenia at a hierarchy of spatial scales-individual pitchers within plants, plants within bogs, and bogs within landscapes-and demonstrate how pitcher plants can serve as replicate miniature ecosystems that can be studied in wetlands throughout the United States and Canada. They show how research on the Sarracenia microecosystem proceeds much more rapidly than studies of larger, more slowly changing ecosystems such as forests, grasslands, lakes, or streams, which are more difficult to replicate and experimentally manipulate.Scaling in Ecology with a Model System offers new insights into ecophysiology and stoichiometry, demography, extinction risk and species distribution models, food webs and trophic dynamics, and tipping points and regime shifts.

Produkt-Details

• Erscheint lt. Verlag: 3.8.2021
• Reihe/Serie: Monographs in Population Biology
• Reihe/Serie: Monographs in Population Biology
• Zusatzinfo: 95 b/w illus. 24 tables.
• Sprache: englisch
• Themenwelt: Naturwissenschaften ► Biologie ► Botanik
• Themenwelt: Naturwissenschaften ► Biologie ► Ökologie / Naturschutz
• Schlagworte: Alternative stable state • Aristolochia • Assembly rules • author • autocorrelation • Bacteria • biodiversity • biogeography • Biological interaction • Biomass (ecology) • bovine serum albumin • Bromeliaceae • carnivorous plant • Conditional probability • Copyright • Density dependence • Detritus • Drosera • ecological niche • Ecological Succession • Ecology • ecosystem • Environment variable • estimation • Evolution • Field Experiment • Food Chain • food web • Forecasting • Herbivore • histogram • Hysteresis • INaturalist • inference • Inquiline • insect • Invertebrate • keystone species • larva • Markov Chain • Measurement • Metabolism • Microecosystem • Micronutrient • Microorganism • model organism • negative feedback • nepenthes • nitrogen • null hypothesis • nutrient • Obligate • Observational error • organism • Parameter Space • Peptide • Perennial plant • Phenotype • Phenotypic plasticity • photosynthesis • pitcher plant • Plant morphology • Pollination • Population decline • population dynamics • Population Growth • Population Size • Population vector • predation • Prediction • Princeton University Press • Probability • Proportionality (mathematics) • Protein • Protozoa • Regime shift • rotifer • Sarracenia • Sarraceniaceae • Sarracenia purpurea • Shrub • Soil • spatial scale • Species distribution • Sphagnum • spreadsheet • state variable • Stochastic Simulation • stoichiometry • Taxon • Taxonomy (biology) • Time Series • Trade-off • Trophic level • Uncertainty • Vegetation • Weather forecasting • Weather Station • wetland • Wyeomyia smithii
• ISBN-10: 0-691-22278-9 / 0691222789
• ISBN-13: 978-0-691-22278-3 / 9780691222783