Community-based forest ecotourism is an important livelihood pathway for communities around protected forests, but household agritourism operators often face ecological regulations, seasonal demand and heterogeneous tourist expectations. These conditions increase information asymmetry and make service matching difficult. This study examines how two-way information disclosure affects business performance in community-based forest ecotourism. Drawing on social penetration theory, we test a chained mechanism linking two-way information disclosure to operational performance. Based on 780 valid questionnaires from agritourism operators and core family managers around Giant Panda National Park, China, this study measures information disclosure practices, service responsiveness, operator-side perceptions of tourist responses and self-reported business performance. The results show that seller- and buyer-side information disclosure significantly enhance perceived identification. Seller information disclosure has relatively stable effects on customer orientation, perceived quality and operational performance, whereas buyer information disclosure mainly works through perceived identification. Perceived quality, perceived value and satisfaction act as partial transmission channels. Heterogeneity analysis shows stronger effects among low-income and newly established operators. The findings provide micro-level evidence for reducing expectation mismatch and strengthening sustainable livelihood capacity in forest protected-area communities.

Urban parks provide key ecosystem services and support everyday recreation, but their multifunctional use often creates mismatches between planned functions and diverse public demands. Taking Chaoyang Park in Beijing as the study area, this study applied Public Participation Geographic Information Systems (PPGISs) to map landscape values and identify recreation conflicts. Boundary-based and inductive social landscape metrics were used to analyze the spatial patterns of six landscape values: aesthetic value, ecological value, recreational value, cultural value, healing value and economic value. Kernel density analysis was further used to identify recreation conflict hotspots and examine their spatial association with landscape value agglomeration. The results show that the landscape values in Chaoyang Park are characterized by multi-value agglomeration in core areas and functional differentiation in peripheral areas. Aesthetic value, recreational value and ecological value are the dominant value types, and their spatial distribution is highly consistent with the planning orientations of functional areas. Recreation conflicts are mainly manifested as activity disturbances and space contention, and are jointly associated with overlapping spatial functions, divergent activity characteristics and unbalanced facility allocation. This study demonstrates that PPGISs can support refined management and recreation conflict regulation in large urban parks, providing evidence for public participation planning and sustainable management of urban green spaces in high-density cities.