Analysis of recent changes in natural habitat types in the Apuseni Mountains (Romania), using multi-temporal Landsat satellite imagery (1986-2015)

被引:0
|
作者
Chetan, Marinela Adriana [1 ]
Dornik, Andrei [1 ]
Urdea, Petru [1 ]
机构
[1] West Univ Timisoara, Dept Geog, Blvd V Parvan 4, Timisoara 300223, Timis, Romania
关键词
Natural habitat types; Change detection; Landscape metrics; Object-based image analysis; Apuseni mountains; EARTH OBSERVATION DATA; WATER INDEX NDWI; RURAL LANDSCAPE; PROTECTED AREAS; COVER CHANGE; FOREST; CLASSIFICATION; INDICATORS; MANAGEMENT; DIVERSITY;
D O I
10.1016/j.apgeog.2018.06.007
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
This study analysed the dynamics of natural habitat types in the last 30 years, in the three largest Natura 2000 sites in the Apuseni Mountains area in Romania. The Apuseni Mountains area records one of the highest percentages of protected areas among Romanian mountains, exceeding 50%, characterised by high biodiversity with faunal and floral endemics and rare species across distinctive karstic landscapes. Habitat type maps were derived from Landsat satellite images acquired in 1986, 1993, 2000, 2007 and 2015 using an object-based classification. Based on habitat type maps, 18 landscape metrics at the class level and 16 metrics at the landscape level have been derived to quantify the structure, composition and spatial pattern of the landscape, correlating them with habitat type area changes. Results indicate that in the last 30 years, the deciduous and coniferous forests continuously improved in the Apuseni-Vladeasa Mountains, but surprisingly deteriorated after the site was declared a Special Protection Area (SPA) in 2007. The mixed forest habitat type has recorded a tendency of deterioration since 1986, however, this trend stopped in 2007, probably due to the decrease of human interventions. In this site, the pastures and meadows habitat type deteriorated until 2000 due to agriculture development (before 1993) and natural growth of vegetation, improving considerably after that with a surprising atenuation after 2007. The deciduous forests habitats within the Defileul MureNOT AVAILABLEului Inferior - Dealurile Lipovei site deteriorated until 2007, but it appears that human interventions have diminished after the site was declared a SPA, while within the Drocea-Zarand site the deciduous forests have not suffered deterioration. In these two sites, pastures recorded a constant deterioration in the last three decades, mainly due to land abandonment. Results are potentially useful for authorities to improve management and to develop appropriate strategies for habitat conservation.
引用
收藏
页码:161 / 175
页数:15
相关论文
共 44 条
  • [1] Impacts of the Tropical Cyclone Idai in Mozambique: A Multi-Temporal Landsat Satellite Imagery Analysis
    Charrua, Alberto Bento
    Padmanaban, Rajchandar
    Cabral, Pedro
    Bandeira, Salomao
    Romeiras, Maria M.
    REMOTE SENSING, 2021, 13 (02) : 1 - 17
  • [2] Monitoring Cropland Dynamics of the Yellow River Delta based on Multi-Temporal Landsat Imagery over 1986 to 2015
    Feng, Quanlong
    Gong, Jianhua
    Liu, Jiantao
    Li, Yi
    SUSTAINABILITY, 2015, 7 (11) : 14834 - 14858
  • [3] Area changes of glaciers on active volcanoes in Latin America between 1986 and 2015 observed from multi-temporal satellite imagery
    Reinthaler, Johannes
    Paul, Frank
    Granados, Hugo Delgado
    Rivera, Andres
    Huggel, Christian
    JOURNAL OF GLACIOLOGY, 2019, 65 (252) : 542 - 556
  • [4] Detecting changes on coastal primary sand dunes using multi-temporal Landsat Imagery
    Goncalves, Gil
    Duro, Nuno
    Sousa, Ercilia
    Pinto, Luis
    Figueiredo, Isabel
    IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XX, 2014, 9244
  • [5] Subspace Analysis for Multi-temporal Disaster Mapping Using Satellite Imagery
    Okorie, Azubuike M.
    Makrogiannis, Sokratis
    ADVANCES IN VISUAL COMPUTING, ISVC 2022, PT I, 2022, 13598 : 162 - 173
  • [6] Pen Culture Detection Using Filter Tensor Analysis with Multi-Temporal Landsat Imagery
    Xi, Yanxin
    Ji, Luyan
    Geng, Xiurui
    REMOTE SENSING, 2020, 12 (06)
  • [7] Monitoring water resource changes using multi-temporal Landsat imagery taken in Changnyeong, South Korea
    Choung, Yun-Jae
    Jo, Myung-Hee
    12TH INTERNATIONAL CONFERENCE ON HYDROINFORMATICS (HIC 2016) - SMART WATER FOR THE FUTURE, 2016, 154 : 348 - 352
  • [8] Analysis of broadleaf encroachment in coniferous forest plantations using multi-temporal satellite imagery
    McInerney, Daniel
    Kempeneers, Pieter
    Marron, Magdalene
    McRoberts, Ronald E.
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2019, 78 : 130 - 137
  • [9] Detecting aquatic vegetation changes in Taihu Lake, China using multi-temporal satellite imagery
    Ma, Ronghua
    Duan, Hongtao
    Gu, Xiaohong
    Zhang, Shouxuan
    SENSORS, 2008, 8 (06) : 3988 - 4005
  • [10] Monitoring of wetland turbidity using multi-temporal Landsat-8 and Landsat-9 satellite imagery in the Bisalpur wetland, Rajasthan, India
    Singh, Raj
    Saritha, Vara
    Pande, Chaitanya B.
    ENVIRONMENTAL RESEARCH, 2024, 241