Location: Grassland Soil and Water Research Laboratory
Title: Bloom and bust: Ecological consequences of precipitation variability in aridlandsAuthor
POTTS, DANIEL - Buffalo State College | |
BARRON-GAFFORD, GREG - University Of Arizona | |
BUTTERFIELD, BRADLEY - Northern Arizona University | |
Fay, Philip | |
HULTINE, KEVIN - Desert Botanical Garden |
Submitted to: Plant Ecology
Publication Type: Peer Reviewed Journal Publication Acceptance Date: 2/15/2019 Publication Date: 2/20/2019 Citation: Potts, D.L., Barron-Gafford, G.A., Butterfield, B.J., Fay, P.A., Hultine, K.R. 2019. Bloom and bust: Ecological consequences of precipitation variability in aridlands. Plant Ecology. 220(2):135-139. https://doi.org/10.1007/s11258-019-00915-2. DOI: https://doi.org/10.1007/s11258-019-00915-2 Interpretive Summary: This paper serves as the Editorial Notes accompanying the collection of papers assembled in the special issue of Plant Ecology titled ‘Bloom and Bust: ecological consequences of precipitation variability in aridlands’. The paper describes the conceptual basis for understanding the effects of precipitation variability on arid ecosystems, which are by definition limited by the amount of precipitation they receive. We describe how the assembled papers fit in a conceptual model relating precipitation variability to plant traits that predict the persistence and productivity of ecosystems. Together these papers identify important conceptual linkages between field and model-based research and identify important gaps for future investigation. Technical Abstract: This paper serves as the Editorial Notes accompanying the collection of papers assembled in the special issue of Plant Ecology titled ‘Bloom and Bust: ecological consequences of precipitation variability in aridlands’. The paper describes the conceptual basis for understanding the effects of precipitation variability on arid ecosystems, which are by definition limited by the amount of precipitation they receive. We describe how the assembled papers fit in a conceptual model relating precipitation variability to plant traits that predict the persistence and productivity of ecosystems. Together these papers identify important conceptual linkages between field and model-based research and identify important gaps for future investigation. |