Open Collections

Replication Data for: "Improving litterfall production prediction in China under variable environmental conditions using machine learning algorithms"

Tu, Qingshi

Data: "data_updated_0618-empty rows removed-3-2.xlsx" contains 968 records of total annual litterfall production (Mg/ha/yr) collected at 314 forest sites covering the full geographical range of Chinese forests. The sites were distributed across various climatic zones, spanning latitudes from 18.26° to 51.50° N, longitudes from 82.25° to 129.53° E, altitudes from 0 to 4115 m above sea level, mean annual temperatures (MAT) from −5.4 to 25.4 °C, and mean annual precipitation (MAP) levels from 370 to 2800 mm. In addition to the geographical location and climate conditions, associated stand information is also included, such as forest type, stand origin, stand age, mean diameter at breast height (DBH), mean tree height, and stand density. Trap size (i.e., the surface area of the litter traps) is also included as it is a potentially important factor affecting litter collection. Code: "Litterfall v1.2_[total]_public release.ipynb" contains a complete pipeline of data parsing, cleaning, preprocessing, model training, and prediction.

Dataset

University of British Columbia Library

10.14288/1.0406362

https://doi.org/10.5683/SP3/HCVFCU

Dataverse