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
  • [1] Research on Accurate House Price Analysis by Using GIS Technology and Transport Accessibility: A Case Study of Xi'an, China
    Xue, Chao
    Ju, Yongfeng
    Li, Shuguang
    Zhou, Qilong
    Liu, Qingqing
    SYMMETRY-BASEL, 2020, 12 (08): : 1 - 21
  • [2] Thermodynamic benchmark study using Biacore technology
    Navratilova, Iva
    Papalia, Giuseppe A.
    Rich, Rebecca L.
    Bedinger, Daniel
    Brophy, Susan
    Condon, Brad
    Deng, Ta
    Emerick, Anne W.
    Guan, Hann-Wen
    Hayden, Tanya
    Heutmekers, Thomas
    Hoorelbeke, Bart
    McCroskey, Mark C.
    Murphy, Mary M.
    Nakagawa, Terry
    Parmeggiani, Fabio
    Qin, Xiaochun
    Rebe, Sabina
    Tomasevic, Nenad
    Tsang, Tiffany
    Waddell, M. Brett
    Zhang, Fred Feiyu
    Leavitt, Stephanie
    Myszka, David G.
    ANALYTICAL BIOCHEMISTRY, 2007, 364 (01) : 67 - 77
  • [3] Urban Building Type Mapping Using Geospatial Data: A Case Study of Beijing, China
    Chen, Wei
    Zhou, Yuyu
    Wu, Qiusheng
    Chen, Gang
    Huang, Xin
    Yu, Bailang
    REMOTE SENSING, 2020, 12 (17) : 1 - 18
  • [4] Classifications and Development Frameworks of Tourist Resorts Based on Geospatial Division Theory: A Case Study of Sichuan Province, Western China
    Qin, Jian-Xiong
    Zhang, Min-Min
    Chenlai, Jia-Cuo
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MATERIAL SCIENCE AND APPLICATIONS (ICMSA 2015), 2015, 3 : 752 - 759
  • [5] Soil quality analysis and mapping of various land uses using geospatial technology: a case study
    Anuradha, C. T.
    APPLIED GEOMATICS, 2024, 16 (01) : 57 - 66
  • [6] Modeling sprawl of unauthorized development using geospatial technology: case study in Kuantan district, Malaysia
    Hashim, Mazlan
    Noor, Norzailawati Mohd
    Marghany, Maged
    INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2011, 4 (03) : 223 - 238
  • [7] Soil quality analysis and mapping of various land uses using geospatial technology: a case study
    C. T. Anuradha
    Applied Geomatics, 2024, 16 : 57 - 66
  • [8] Urban Development Plan Using Open Source Geospatial Technology - A Case Study of Ahmedabad.
    Rawal, D.
    Gupta, V
    Vyas, A.
    FOSS4G 2019 - ACADEMIC TRACK, 2019, 42-4 (W14): : 197 - 201
  • [9] Geospatial analysis of factors driving gully erosion: a case study from Southeastern Nigeria
    Emeh, Chukwuebuka
    Igwe, Ogbonnaya
    Ugwoke, Tochukwu A. S.
    NATURAL HAZARDS, 2023, 117 (03) : 2903 - 2933
  • [10] Geospatial analysis of factors driving gully erosion: a case study from Southeastern Nigeria
    Chukwuebuka Emeh
    Ogbonnaya Igwe
    Tochukwu A. S. Ugwoke
    Natural Hazards, 2023, 117 : 2903 - 2933