default author photo

Christian Temperli

affiliation not provided to SSRN

SCHOLARLY PAPERS

4

DOWNLOADS

238

TOTAL CITATIONS

0

Scholarly Papers (4)

1.

Regional disturbance predisposition assessment to support management in mountain spruce forests

Number of pages: 37 Posted: 03 Dec 2025
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 89 (753,595)

Abstract:

Loading...

2.

Mountain spruce forests under disturbance risk: decision support for the spatial prioritization of silvicultural management—considering costs and benefits

Number of pages: 42 Posted: 01 Jan 2026
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 78 (837,727)

Abstract:

Loading...

3.

Deriving Forest Stand Information from Small Samples: An Evaluation of Statistical Methods

Number of pages: 44 Posted: 23 Dec 2022
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 59 (970,490)

Abstract:

Loading...

forest model initialisation, local and regional forest stand descriptions, model evaluation, National Forest Inventory, tree diameter distribution, tree species composition

4.

Computationally Efficient Predictions of Forest Dynamics for LargeAreas

Number of pages: 62 Posted: 13 Apr 2026
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and ETH Zürich
Downloads 12 (1,541,665)

Abstract:

Loading...

Forest dynamics, Machine learning, Climate Change, National Forest Inventory, Basal area, Species composition