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 50 条
  • [31] USING CA-MARKOV MODEL TO MODEL THE SPATIOTEMPORAL CHANGE OF LAND USE/COVER IN FUXIAN LAKE FOR DECISION SUPPORT
    Li, S. H.
    Jin, B. X.
    Wei, X. Y.
    Jiang, Y. Y.
    Wang, J. L.
    ISPRS INTERNATIONAL WORKSHOP ON SPATIOTEMPORAL COMPUTING, 2015, : 163 - 168
  • [32] Land Use Change Prediction Method Based on CA-Markov Model Under Cloud Computing Environment
    Kang J.
    Li S.
    Fang L.
    Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2020, 45 (07): : 1021 - 1026and1034
  • [33] Integrated use of the CA-Markov model and the Trends.Earth module to enhance the assessment of land cover degradation
    Zimba, Henry M.
    Banda, Kawawa E.
    Mbewe, Stephen
    Nyambe, Imasiku A.
    ENVIRONMENTAL SYSTEMS RESEARCH, 2024, 13 (01)
  • [34] National Green GDP Assessment and Prediction for China Based on a CA-Markov Land Use Simulation Model
    Yu, Yuhan
    Yu, Mengmeng
    Lin, Lu
    Chen, Jiaxin
    Li, Dongjie
    Zhang, Wenting
    Cao, Kai
    SUSTAINABILITY, 2019, 11 (03):
  • [35] Spatiotemporal assessment of land use/land cover change and associated carbon emissions and uptake in the Mekong River Basin
    Tang, Xiaojing
    Woodcock, Curtis E.
    Olofsson, Pontus
    Hutyra, Lucy R.
    REMOTE SENSING OF ENVIRONMENT, 2021, 256
  • [36] Spatio-temporal land use and land cover change assessment: Insights from the Oueme River Basin
    Annan, Ernestina
    Amponsah, William
    Adjei, Kwaku Amaning
    Disse, Markus
    Hounkpe, Jean
    Biney, Ernest
    Agbenorhevi, Albert Elikplim
    Agyare, Wilson Agyei
    SCIENTIFIC AFRICAN, 2024, 25
  • [37] Spatiotemporal Monitoring and Prediction of Land Use/Land Cover Changes Using CA-Markov Chain Model: A Case Study in Orkhon Province, Mongolia
    Vandansambuu, Battsengel A. B.
    Davaa, Tsolmon
    Gantumur, Byambakhuu
    Purevtseren, Myagmartseren
    Lkhagva, Otgonbayar
    Wu, Falin
    REMOTE SENSING TECHNOLOGIES AND APPLICATIONS IN URBAN ENVIRONMENTS V, 2020, 11535
  • [38] An integrated object-based image analysis and CA-Markov model approach for modeling land use/land cover trends in the Sarab plain
    Amin Naboureh
    Mohammad Hossein Rezaei Moghaddam
    Bakhtiar Feizizadeh
    Thomas Blaschke
    Arabian Journal of Geosciences, 2017, 10
  • [39] An integrated object-based image analysis and CA-Markov model approach for modeling land use/land cover trends in the Sarab plain
    Naboureh, Amin
    Moghaddam, Mohammad Hossein Rezaei
    Feizizadeh, Bakhtiar
    Blaschke, Thomas
    ARABIAN JOURNAL OF GEOSCIENCES, 2017, 10 (12)
  • [40] Assessment of land use-land cover changes using GIS, remote sensing, and CA-Markov model: a case study of Algiers, Algeria
    Hind, Madani
    M'hammed, Setti
    Djamal, Akziz
    Zoubida, Nemer
    APPLIED GEOMATICS, 2022, 14 (04) : 811 - 825