CA-Markov prediction modeling for the assessment of land use/land cover change in two sub-basins of the Tocantins-Araguaia River Basin

被引:2
作者
dos Santos, Wharley P. [1 ]
Acuna-Guzman, Salvador F. [2 ]
de Oliveira, Paulo T. S. [3 ]
Beniaich, Adnane [4 ]
Cardoso, Dione P. [1 ]
Silva, Marx L. N. [1 ]
Curi, Nilton [1 ]
Avanzi, Junior C. [1 ]
机构
[1] Fed Univ Lavras UFLA, Dept Soil Sci, BR-37200900 Lavras, MG, Brazil
[2] Univ Puerto Rico Mayaguez, Dept Agr & Biosyst Engn, Mayaguez, PR USA
[3] Univ Fed Mato Grosso Do Sul UFSM, Fac Engn Architecture & Urbanism & Geog, BR-79070900 Campo Grande, MS, Brazil
[4] Univ Mohammed VI Polytech UM6P, Coll Agr & Environm Sci CAES, Agr Innovat & Technol Transfer Ctr AITTC, Benguerir 43150, Morocco
关键词
Environmental conservation; Agricultural expansion; Tropical watersheds; MapBiomas; CELLULAR-AUTOMATA; SOUTHERN AMAZONIA; CHANGE IMPACTS; CHAIN MODELS; CLIMATE; CERRADO; VEGETATION; ECOSYSTEM; LOCATION; BRAZIL;
D O I
10.1007/s10661-024-12673-4
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Due to the anthropogenic pressures of expansion areas for livestock and agricultural production in the Brazilian Cerrado, it is of paramount importance to understand the dynamics of land use/land cover (LULC) changes in this region. Thus, we investigated LULC changes in two sub-basins of the Tocantins-Araguaia River basin from 1997 to 2015 and consequently projected future changes for the timespan between 2030 and 2050. The Formoso sub-basin experienced significant expansion of agricultural and pasture areas, whereas the Sono sub-basin limited farmland expansion (more stable native vegetation) due to substantial protected areas, trends that were also observed for future projections (2030 and 2050). Pastureland in the Formoso sub-basin increased by 5.8%, while the Sono sub-basin saw significant gains in cultivated land, according to change detection analyses during the 1997-2015 period. High stability probabilities of no change (> 70%) for grassland areas in the Sono River sub-basin and pasturelands in the Formoso River sub-basin were computed. The CA-Markov model demonstrated a high consistency level with actual LULC classes for both sub-basins, as indicated by an overall Kappa coefficient above 0.8. Future projections for 2030 and 2050 show a substantial expansion of agriculture and pasture in both sub-basins, driven by specific factors such as soil organic carbon stocks, distance from rural settlements, and proximity to rivers. Short- and mid-term simulations indicate substantial expansion of agriculture and pasture in both basins, with potential adverse impacts on water erosion. Consequently, developing policies for soil management and sustainable land use planning is essential for agroecosystem sustainability, promoting a balanced approach to economic development while addressing climate change and anthropogenic challenges.
引用
收藏
页数:18
相关论文
共 29 条
  • [21] Modeling Land-Use and Land-Cover Change and Hydrological Responses under Consistent Climate Change Scenarios in the Heihe River Basin, China
    Zhang, Ling
    Nan, Zhuotong
    Yu, Wenjun
    Ge, Yingchun
    WATER RESOURCES MANAGEMENT, 2015, 29 (13) : 4701 - 4717
  • [22] Land use change assessment in coastal mangrove forests of Iran utilizing satellite imagery and CA-Markov algorithms to monitor and predict future change
    Etemadi, Hana
    Smoak, Joseph M.
    Karami, Jalal
    ENVIRONMENTAL EARTH SCIENCES, 2018, 77 (05)
  • [23] Analysis and Projection of Land-Use/Land-Cover Dynamics through Scenario-Based Simulations Using the CA-Markov Model: A Case Study in Guanting Reservoir Basin, China
    Ruben, Gebdang B.
    Zhang, Ke
    Dong, Zengchuan
    Xia, Jun
    SUSTAINABILITY, 2020, 12 (09)
  • [24] Land Use and Cover Change Assessment and Dynamic Spatial Modeling in the Ghara-su Basin, Northeastern Iran
    Shooshtari, Sharif Joorabian
    Silva, Tatiana
    Namin, Behnaz Raheli
    Shayesteh, Kamran
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2020, 48 (01) : 81 - 95
  • [25] Quantitatively Assessing the Future Land-Use/Land-Cover Changes and Their Driving Factors in the Upper Stream of the Awash River Based on the CA-Markov Model and Their Implications for Water Resources Management
    Daba, Mekonnen H.
    You, Songcai
    SUSTAINABILITY, 2022, 14 (03)
  • [26] Spatial modeling of land-use change in a rapidly urbanizing landscape in central Iran: integration of remote sensing, CA-Markov, and landscape metrics
    Motlagh, Zeynab Karimzadeh
    Lotfi, Ali
    Pourmanafi, Saeid
    Ahmadizadeh, Saeedreza
    Soffianian, Alireza
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2020, 192 (11)
  • [27] Prediction of Future Land Use/Land Cover Changes Using a Coupled CA-ANN Model in the Upper Omo-Gibe River Basin, Ethiopia
    Lukas, Paulos
    Melesse, Assefa M.
    Kenea, Tadesse Tujuba
    REMOTE SENSING, 2023, 15 (04)
  • [28] Modeling spatiotemporal land use/land cover dynamics by coupling multilayer perceptron neural network and cellular automata markov chain algorithms in the Wabe river catchment, Omo Gibe River Basin, Ethiopia
    Mathewos, Yonas
    Abate, Brook
    Dadi, Mulugeta
    Mathewos, Markos
    ENVIRONMENTAL RESEARCH COMMUNICATIONS, 2024, 6 (10):
  • [29] A Two-Layer SD-ANN-CA Model Framework for Multi-Typed Land Use and Land Cover Change Prediction under Constraints: Case Study of Ya'an City Area, Western China
    Zhao, Jingyao
    Zhu, Xiaofan
    Zhang, Fan
    Gao, Lei
    LAND, 2024, 13 (05)