Grade Division and Benchmark Price of Forestlands Using Geospatial Technology: A Case Study of Southeastern China

被引:2
|
作者
Wu, Lianbei [1 ]
Zhang, Weimin [1 ]
Li, Mingyue [1 ]
Chen, Fangyuan [1 ]
机构
[1] Beijing Forestry Univ, Sch Econ & Management, Beijing 100083, Peoples R China
来源
FORESTS | 2022年 / 13卷 / 07期
基金
中国国家社会科学基金;
关键词
ArcGIS spatial analysis; forestland classification; forestland benchmark price; forestland resource asset accounting; CLIMATE-CHANGE; LAND; CLASSIFICATION; MODEL; SOIL; MANAGEMENT; QUALITY; REGION;
D O I
10.3390/f13071105
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Forestlands not only provide the conditions that support forested environments, but they also generate natural resources and ecosystem services that support human survival and social development. Using benchmark price to evaluate the economic value of forests is fast and efficient, which can function as an important tool for the improvement of forest resources management. However, information remains limited on how to establish a unified and complete benchmark price for forestland resources in China. Therefore, this study aimed to grade the forestlands and formulate the corresponding benchmark price to improve the statistical management efficiency of forestlands resources. We conducted our study in Longquan County, Zhejiang Province, where we implemented a survey and collected data focusing on forest resources planning. We classified forest resources in this area to establish a benchmark price using geographic information system (GIS) spatial analysis technology. Based on the characteristics of the survey data and the local economic and social situation, the correction coefficient of forestland price was formulated, and the economic value of forestlands resource assets was calculated accordingly. Results indicate that: (1) the forestland can be divided into five grades. The number and area of forestland increased firstly and then decreased from Grade I to Grade V. Forestland resources were concentrated in Grade II and Grade III, accounting for 62.0% of the total area. (2) The benchmark price of forestland in Longquan County was 10380, 9493, 8708, 7827 and 6771 Chinese Yuan (CNY)center dot hm(-2) from Grade I to Grade V, respectively. The benchmark price of forestland in different grades could reflect the quality of forestland. (3) The price correction coefficient was formulated to match the benchmark price of forestland according to the forestland particularity and the external embodiment of forestland productivity level, and then, the economic value of forestland resource assets in the study area was calculated to be 22.48 million CNY accordingly. The method used in this study has the advantages of simple operation, high efficiency and a low cost. This study can provide methods for the evaluation and accounting of forestland resources, give technical support for the audit of natural resource assets of government departments, help to prepare the balance sheet of natural resources, and further prompt references for the statistical management of forest resources in similar regions and countries.
引用
收藏
页数:21
相关论文
共 50 条
  • [21] Assessing spatiotemporal bikeability using multi-source geospatial big data: A case study of Xiamen, China
    Dai, Shaoqing
    Zhao, Wufan
    Wang, Yanwen
    Huang, Xiao
    Chen, Zhidong
    Lei, Jinghan
    Stein, Alfred
    Jia, Peng
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2023, 125
  • [22] Technology and curricular reform in China: A case study
    Xu, F
    Warschauer, M
    TESOL QUARTERLY, 2004, 38 (02) : 301 - 323
  • [23] Analysis of Distribution Characteristics and Driving Factors of Forestry Enterprises in China Using Geospatial Technology and Models
    Ma, Qiang
    Ni, Honghong
    Su, Xiangxiang
    Nian, Ying
    Li, Jun
    Wang, Weiqiang
    Sheng, Yali
    Zhu, Xueqing
    Liu, Jiale
    Li, Weizhong
    Liu, Jikai
    Li, Xinwei
    FORESTS, 2025, 16 (02):
  • [24] Assessing Regional Public Service Facility Accessibility Using Multisource Geospatial Data: A Case Study of Underdeveloped Areas in China
    Huang, Chunlin
    Feng, Yaya
    Wei, Yao
    Sun, Danni
    Li, Xianghua
    Zhong, Fanglei
    REMOTE SENSING, 2024, 16 (02)
  • [25] Geospatial Analysis of Urban Expansion Using Remote Sensing Methods and Data: A Case Study of Yangtze River Delta, China
    Sun, Wei
    Shan, Jie
    Wang, Zhiming
    Wang, Lei
    Lu, Dianmei
    Jin, Zhifeng
    Yu, Kun
    COMPLEXITY, 2020, 2020 (2020)
  • [26] Research and Application of Early Identification of Geological Hazards Technology in Railway Disaster Prevention and Control: A Case Study of Southeastern Gansu, China
    He, Peng
    Guo, Zhaocheng
    Chen, Hong
    Shi, Pengqing
    Zhou, Xiaolong
    Wang, Genhou
    SUSTAINABILITY, 2023, 15 (24)
  • [27] Landform classification based on landform geospatial structure - a case study on Loess Plateau of China
    Lin, Siwei
    Xie, Jin
    Deng, Jiayin
    Qi, Meng
    Chen, Nan
    INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2022, 15 (01) : 1125 - 1148
  • [28] A Case Study of Using Blockchain Technology in Regulatory Technology
    Gozman, Daniel
    Liebenau, Jonathan
    Aste, Tomaso
    MIS QUARTERLY EXECUTIVE, 2020, 19 (01) : 19 - 37
  • [29] Local Distortion Hiding in Financial Technology application: a case study with a benchmark data set
    Feretzakis, Georgios
    Kalles, Dimitris
    Verykios, Vassilios S.
    2019 10TH INTERNATIONAL CONFERENCE ON INFORMATION, INTELLIGENCE, SYSTEMS AND APPLICATIONS (IISA), 2019, : 485 - 488
  • [30] PROFILING WINE CONSUMERS BY PRICE SEGMENT: A CASE STUDY IN BEIJING, CHINA
    Mu, W.
    Zhu, H.
    Tian, D.
    Feng, J.
    ITALIAN JOURNAL OF FOOD SCIENCE, 2017, 29 (03) : 377 - 397