A dataset of the ecosystem service assessment in Mao’er Mountain National Forest Park during 2018–2019

Abstract

Mao’er Mountain is a typical area of natural secondary forest with strong spatial heterogeneity. As a result, the scientific assessment of ecosystem service function value in Mao’er Mountain can provide data support for researches on the decision-making for forest management and the relation between supply and demand for natural forests. This paper provides a dataset of six categories of ecological indicators in Mao’er Mountain, including water conservation, soil conservation, carbon fixation and oxygen release, nutrient accumulation, atmospheric purification, biodiversity conservation, which are assessed based on the Specifications for Assessment of Forest Ecosystem Services in China (LY/T 1721-2008). The raw data mainly include GF-1 remote sensing data, meteorological data, forest resource inventory data for management, etc. The data accuracy is strictly ensured through a series of processes such as vectorization, correction, and registration. The dataset in this paper includes the physical and value quantities of 18 specific ecological indicators in the ecosystem service assessment system. The data can be divided into two types: monthly data and yearly data according to the time resolution with unified spatial resolution of 16 m. During the process of index calculation, we strictly screened and controlled the input data and model parameters in this study, so as to ensure the reliability of the dataset through comparison and verification. This dataset covers most of the indicators in the forest ecosystem service assessment system, which can provide fine-grained data support for the study on natural secondary forest in cold temperate zones in China.