It　is　attractive　and　advantageous　to　utilize　marginal　land　to　support　regional　biomass　energy　development　and　improve　energy　security.　In　this　study,　an　integrated　and　comprehensive　decision-making　framework　is　proposed　to　support　the　strategic　planning　and　tactical　management　of　regional　biomass　supply　networks　from　an　energy-　land-carbon　nexus　perspective.　It　combines　a　multi-objective　fuzzy　chance-constraint　programming　model　with　spatial　analysis　of　marginal　land　and　multi-criteria　assessment　of　biorefinery　sites.　The　model　is　verified　through　a　case　study　of　a　major　agricultural　region,　Shandong　Province　in　China.　Local　agricultural　residues　remain　a　key　feedstock　for　bioethanol　production.　The　results　highlight　the　importance　of　considering　the　multi-objective　tradeoffs　and　the　intricate　resource　and　environmental　nexus　for　stakeholders　to　achieve　sustainability　in　real　practice.　A　cost-minimization　objective　drives　the　construction　of　large-scale　biomass　plants　to　enhance　efficiency.　An　emissions-minimization　goal　favors　smaller,　decentralized　plants　to　reduce　transport　distances　and　improve　local　land　use.　Maximizing　social　welfare　promotes　marginal　land　development,　creating　more　employment　opportunities.　Decision-makers＇　management　goals,　risk　preferences,　and　external　fluctuations　significantly　influence　the　spatial　planning　of　bioethanol　supply　chains,　marginal　land　utilization,　and　operational　strategies.　Overall,　the　proposed　methodology　offers　decision-makers　an　effective　tool　for　achieving　optimal　decisions　while　accounting　for　complex　system　interdependencies,　conflicting　objectives,　and　uncertainties.