Gaining local accuracy while not losing generality - extending the range of gap model applications

Didion M, Kupferschmid AD, Zingg A, Fahse L & Bugmann H
Choose the citation style.
Didion, M., Kupferschmid, A. D., Zingg, A., Fahse, L., & Bugmann, H. (2009). Gaining local accuracy while not losing generality - extending the range of gap model applications. Canadian Journal of Forest Research, 39(6), 1092-1107. https://doi.org/10.1139/X09-041