Spatio-Temporal Evolution of Forest Landscape in China's Giant Panda National Park: A Case Study of Jiudingshan Nature Reserve

被引:0
|
作者
Wang, Juan [1 ]
Zhao, Dan [2 ]
Liu, Xian'an [3 ]
Shao, Qiufang [4 ]
Yang, Danli [5 ]
Zeng, Fanru [6 ]
Feng, Yu [7 ]
Zhang, Shiqi [7 ]
Peng, Peihao [1 ]
Liu, Jinping [8 ,9 ]
机构
[1] Chengdu Univ Technol, Coll Tourism & Urban Rural Planning, Chengdu 610059, Peoples R China
[2] Sichuan Tourism Univ, Sch Tourism & Culture Ind, Chengdu 610100, Peoples R China
[3] Sichuan Tourism Univ, Coll Art, Chengdu 610100, Peoples R China
[4] Sichuan Tourism Univ, Sch Informat & Engn, Chengdu 610100, Peoples R China
[5] Neijiang Normal Univ, Tuojiang River Basin High Qual Dev Res Ctr, Sch Econ & Management, Neijiang 641100, Peoples R China
[6] Sichuan Water Conservancy Coll, Coll Surveying & Geoinformat, Chengdu 611231, Peoples R China
[7] Chengdu Univ Technol, Coll Earth Sci, Chengdu 610059, Peoples R China
[8] North China Univ Water Resources & Elect Power, Coll Surveying & Geoinformat, Zhengzhou 450046, Peoples R China
[9] Katholieke Univ Leuven, Hydraul & Geotech Sect, Kasteelpark Arenberg 40, BE-3001 Leuven, Belgium
来源
FORESTS | 2023年 / 14卷 / 08期
关键词
forest ecology; sustainable forest management; national parks; landscape patterns; WENCHUAN EARTHQUAKE; HABITAT; VEGETATION; CONSERVATION; RECOVERY; SICHUAN; AREA; POLICIES; MODIS; NDVI;
D O I
10.3390/f14081606
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
The continuous prohibition of commercial logging and intensifying conservation endeavors have encompassed the implementation of the Natural Forest Conservation Program (NFCP) and the Grain-to-Green Program (GTGP) by the Chinese government since 1999. Nevertheless, the efficacy of the commercial logging ban and its effectiveness in halting deforestation remain uncertain. Likewise, the destructive aftermath of the 7.9 magnitude Wenchuan earthquake in 2008 continues to be under scrutiny, necessitating ongoing study and analysis. Thus, there exists a pressing need to comprehensively monitor the spatio-temporal evolution of the forest habitat and assess the ecological status over the past two decades. The Jiudingshan Nature Reserve (JNR) is situated in the upper reaches of the Tuojiang River basin in Sichuan province, China, constituting an integral part of the Giant Panda National Park (GPNP). In this study, we classified land cover types and conducted a meticulous monitoring of forest habitat alterations within JNR, by a multilayer perceptron model (MLP) with a highly learning-sensitive algorithm. To quantify these changes, the Simple Ratio Index (SRI) and the Normalized Difference Vegetation Index (NDVI) were computed from Landsat TM/OLI images of four years (i.e., 1997, 2007, 2008, and 2018). Additionally, elevation, slope, aspect, and other topographic data were acquired from the Digital Elevation Model (DEM). The findings of our study unveil a notable expansion in both the scope and proportion of mixed conifer and broadleaf forest from 1997 to 2004. The growth of coniferous forest and the augmented areas of mixed conifer and broadleaf forest signify a substantial improvement in panda habitat. However, the seismic event of 2008 exhibited a pronounced adverse impact on vegetation, particularly within forested regions. Although there is evidence of forest recovery spanning 21 years, concerns regarding fragmentation linger. It is pivotal to acknowledge the potential long-term adverse implications arising from widespread socio-economic development and a multitude of geohazards. Hence, sustained long-term monitoring coupled with effective management strategies remain pivotal for the preservation and rehabilitation of the Giant Panda National Park (GPNP) and giant panda habitat in the future.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Indigenous Forest Knowledge (IFK) and Nature Reserve Workers' Perceptions of IFK: A Case Study of Leigongshan National Nature Reserve, China
    Zhao, Dongchang
    Liu, Feng
    JOURNAL OF SUSTAINABLE FORESTRY, 2022, 41 (08) : 721 - 744
  • [32] Gap Analysis of Giant Panda Conservation as an Example for Planning China's National Park System
    Yang, Biao
    Qin, Siyu
    Xu, Wansu
    Busch, Jonah
    Yang, Xuyu
    Gu, Xiaodong
    Yang, Zhisong
    Wang, Bin
    Dai, Qiang
    Xu, Yu
    CURRENT BIOLOGY, 2020, 30 (07) : 1287 - +
  • [33] Spatio-temporal evolution mechanism of China's internal skilled migration
    Gu H.
    Shen T.
    Dili Xuebao/Acta Geographica Sinica, 2022, 77 (10): : 2457 - 2473
  • [34] Spatio-temporal infestation patterns of Ips typographus (L.) in the Bavarian Forest National Park, Germany
    Lausch, Angela
    Heurich, Marco
    Fahse, Lorenz
    ECOLOGICAL INDICATORS, 2013, 31 : 73 - 81
  • [35] Effects of spatio-temporal landscape patterns on land surface temperature: a case study of Xi’an city, China
    Boyan Li
    Wei Wang
    Liang Bai
    Wei Wang
    Nengcheng Chen
    Environmental Monitoring and Assessment, 2018, 190
  • [36] Spatio-Temporal Separating Analysis of NDVI Evolution and Driving Factors: A Case Study in Nanchang, China
    Li, Jiatong
    Wu, Hua
    Zhu, Jiaqi
    Xu, Yue
    Guo, Qiyun
    Li, Huishan
    Xie, Xue
    Liu, Sihang
    SUSTAINABILITY, 2024, 16 (23)
  • [37] Spatio-Temporal Evolution Analysis of the Urban Heat Island: A Case Study of Zhengzhou City, China
    Min, Min
    Zhao, Hongbo
    Miao, Changhong
    SUSTAINABILITY, 2018, 10 (06)
  • [38] Effects of spatio-temporal landscape patterns on land surface temperature: a case study of Xi'an city, China
    Li, Boyan
    Wang, Wei
    Bai, Liang
    Wang, Wei
    Chen, Nengcheng
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2018, 190 (07)
  • [39] A Study on the Spatio-Temporal Evolution Characteristics of Social Development Levels in China
    Lian, Yanan
    Fan, Jie
    Lu, Chen
    LAND, 2024, 13 (05)
  • [40] Spatiotemporally monitoring forest landscape for giant panda habitat through a high learning-sensitive neural network in Guanyinshan Nature Reserve in the Qinling Mountains, China
    Liu, Xuehua
    Wu, Pengfeng
    Shao, Xiaoming
    Songer, Melissa
    Cai, Qiong
    Zhu, Yun
    He, Xiangbo
    ENVIRONMENTAL EARTH SCIENCES, 2017, 76 (17)