Developing a Multidimensional Framework for Evaluating Forest Ecological Product Production Capacity: A Case Study of Henan Province, China

0Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

With the escalating demand for forest-derived ecological products, quantifying forest ecological product production capacity (EPC) has become essential for precise ecological governance. Addressing the methodological gaps and complexity in current assessments, this study develops a transferable Forest EPC theoretical framework integrated across four dimensions: environmental background, vegetation status, human pressure, and human investment. Using Henan Province as a case study, we established a multi-criteria evaluation model to characterize the spatial drivers and supply potential of Forest EPC. Our findings reveal that the provincial forest EPC stands at a moderate level (0.341). The spatial distribution is highly heterogeneous: the “medium” EPC grade dominates the landscape (36.69%), whereas “high-level” areas are critically scarce (3.76%). Notably, forest EPC exhibits a strong spatial gradient, with high-performance clusters in the southern and western highlands contrasting with lower values in the northern plains. The identification of significant spatial autocorrelation (Global Moran’s I = 0.71) highlights the necessity of regional collaborative management. This study provides a methodological reference that is adaptable to diverse regional contexts through the recalibration of local indicators and weights, offering a scientific benchmark for optimizing the spatial layout of ecological product supply.

Cite

CITATION STYLE

APA

Liu, B., Wu, K., Feng, Z., & Qian, J. (2026). Developing a Multidimensional Framework for Evaluating Forest Ecological Product Production Capacity: A Case Study of Henan Province, China. Sustainability (Switzerland), 18(5). https://doi.org/10.3390/su18052610

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free