cff-version: 1.2.0
message: "If you use this dataset, please cite it as below."
title: "CONUS-HCS: a continental harvest decision-surface product (240 m annual harvest probability, intensity, and silvicultural type, 2024)"
type: dataset
authors:
  - family-names: Weiskittel
    given-names: Aaron R.
    orcid: "https://orcid.org/0000-0003-2534-4478"
    affiliation: "University of Maine, Center for Research on Sustainable Forests"
  - family-names: Daigneault
    given-names: Adam R.
    affiliation: "University of Maine, School of Forest Resources"
version: "4.0.0"
date-released: "2026-06-03"
license: CC-BY-4.0
keywords:
  - forestry
  - timber harvest
  - FIA
  - TreeMap
  - Bayesian hierarchical model
  - CONUS
abstract: >
  Continental harvest decision surfaces for the 48 conterminous United States at 240 m
  (EPSG:5070): annual partial-harvest and stand-replacement probability, harvest intensity,
  and modal silvicultural class, from the four-stage Bayesian hierarchical CONUS-HCS module
  fit on the full FIA remeasured plot-pair record and projected via TreeMap 2022.