Data from: "Colonisation of the alpine tundra by trees: alpine neighbours assist late-seral but not early-seral conifer seedlings" ...

• Main Authors: Jabis, Meredith D., Germino, Matthew J., Kueppers, Lara M.
• Format: Dataset
• Language: English
• Published: Environmental System Science Data Infrastructure for a Virtual Ecosystem; Subalpine and Alpine Species Range Shifts with Climate Change: Temperature and Soil Moisture Manipulations to Test Species and Population Responses (Alpine Treeline Warming Experiment) 2021
• Subjects: 54 ENVIRONMENTAL SCIENCES; alpine tundra; Chionophila jamesii; climate change; competition; conifer; facilitation; plant neighbourhood; Picea engelmannii; Pinus flexilis; stress gradient hypothesis; tree colonisation; EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS; EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS; EARTH SCIENCE > BIOSPHERE > VEGETATION; EARTH SCIENCE > LAND SURFACE > LANDSCAPE; Seedling survival; Tree seedling survival; Alpine plant survival; Efficiency of photosystem II; Soil temperature; Volumetric water content; Instantaneous water use efficiency; Soil moisture; R script; WUE; Tundra
• Online Access: https://dx.doi.org/10.15485/1771221; https://www.osti.gov/servlets/purl/1771221/

This archive contains data used to support conclusions made in “Colonisation of the alpine tundra by trees: alpine neighbours assist late-seral but not early-seral conifer seedlings”, by Jabis et al., 2020. Data were collected in the alpine field location of the Alpine Treeline Warming Experiment (ATWE), on Niwot Ridge, in the Front Range of the Colorado Rocky Mountains, USA.This package includes survivorship and physiology data for limber pine (Pinus flexilis), Engelmann spruce (Picea engelmannii), and Rocky Mountain snowlover (Chionophila jamesii). Site climate data such as soil moisture and temperature are also included. This data package contains ten comma-separated-values (.csv) files, and two rich-text-format (.rtf) files all compressed within one folder named “Neighbor_data_repository.zip”. Both file types can be opened by text-edit softwares such as TextEdit (Mac) and Notepad (Windows). The files are also compatible with analyses softwares such as R. .csv files can also be opened by Microsoft Excel. ...