教學大綱 Syllabus

科目名稱：以歷史的角度看地表變遷

Course Name: Taking the historical perspective to reveal drivers for land cover change
  • 學年學期：112-2 Spring Semester, 2024
  • 科目代碼：257715001 Course No.257715001

修別：選

Type of Credit: Elective

2.0

學分數

Credit(s)

20

預收人數

Number of Students

課程資料Course Details
  • 開課單位：地政碩一、地政碩二 Course Department:Land Economics/M/1&2
  • 授課老師：陳奕穎 Instructor: CHEN YI-YING
  • 先修科目：無Prerequisite(N/A)
  • 上課時間：二56 Session: tue14-16

課程簡介Course Description

期望以人類文明發展的角度觀察人類活動對於地球環境所產生的影響，其中包含: 人類文明與不同時、空尺度的介紹、植被與氣候之關聯、地質年代與地表覆蓋之重建、局地土地利用改變對全球環境之衝擊以及科學進展對於重建歷史地表覆蓋的貢獻。課程規劃期中考之前探討萬年以前的時間尺度、期中考以後探討近代約300年的時間尺度。預期將引導學生了解如何建構一個試驗性的土地覆蓋變化模式。課程中將介紹土地使用變化模型的發展史與相關核心概念與構想，其中包含：自動細胞機(Cellular Automaton)、邱念(von Thunen)土地經濟理論與馬可夫練(Markov Chain)等。最後，課程將會引入衛星觀測資料並介紹如何運用衛星資料反演地表的覆蓋狀況。

The course was designed for students interested in understanding the relationship between human history and environmental changes (e.g., land-use and land-cover changes). Two distinctive time scales, millennia and the latest 300-years, were selected to have a different look at the impact of land-use and land-cover changes on human life. The following topics: human history and scales, vegetation growth and climate, and reconstruction of historical land-cover/land-use and geological dating, and impact of land-use and land-cover changes on the global environment, were included in this lecture. This lecture will also introduce key concepts for modeling LULCC, including Cellular Automata, the von Thunen economic theory, and the Markov chain. Finally, we will explore the use of remote sensing techniques to retrieve land use and land cover data from the satellite observations.   

 

核心能力分析圖 Core Competence Analysis Chart

能力項目說明

    課程目標與學習成效Course Objectives & Learning Outcomes

    1.人類歷史與探索地球的歷程
    2.建構一個試驗性的土地使用變化模式
    3.局地土地利用對全球環境改變的衝擊
    4.遙測技術運用在地表覆蓋變化之偵測

    1. An overall picture of human history on exploring the land of Earth
    2. The impact of local land-use changes on the global environment
    3. Advance in science development for reconstructing the past land-use and land-cover
    4. Using remote sensing techniques to identify land use and land cover changes

    每周課程進度與作業要求 Course Schedule & Requirements

    教學週次Course Week 彈性補充教學週次Flexible Supplemental Instruction Week 彈性補充教學類別Flexible Supplemental Instruction Type

    Week

    Date

    Topic

    Textbook[T] /References [R]

    1

    2/20

    Introduction of Scales and Human History (I)

    T[2], R[1][7][32][46]

    2

    2/27

    Introduction of Scales and Human History (II)

    T[2], R[1][7][32][46]

    3

    3/5

    Vegetation Growth and Climate, and Chronology

    T[1,CH2][2], R[4][19][21][31][34][35]

    4

    3/12

    Civilization and Land-Use/Land-Cover Change (LULCC) over the Past 12,000 years (Indo-Europe)

    T[1,CH2][2], R[8][9][26]

    5

    3/19

    Civilization and LULCC over the Past 12,000 years (Pan-Asia)

    T[1,CH2][2], R[8][9][26]

    6

    3/26

    Global LULCC Reconstruction Projects

    T[1,CH1][2], R[3][12][13][19][26][33][47]

    7

    4/2

    Modeling local LULCC (Concepts & Formulations)

    T[1,CH5], R[38][39][40]

    8

    4/9

    Modeling local LULCC (using R/GIS)

    T[1,CH5], R[27]

    9

    4/16

    Mid-term

     

    10

    4/23

    Impact of LULCC on Climate Change

    T[1,CH4][2], R[14][15][44]

    11

    4/30

    IPCC Special report on Climate Change and Land

    R[43]

    12

    5/7

    Global LULCC over the Past 300 years (Asia/China)

    T[1,CH2][2], R[6][18][20][22][23][24][25][45]

    13

    5/14

    Global LULCC Harmonization

    T[1,CH1][2], R[1][12][13][17][33][42][47]

    14

    5/21

    Taiwan LULCC Reconstruction (II: 2020 to 1900)

    R[5][37]

    15

    5/28

    Taiwan LULCC Reconstruction (I: 1900 to 1650)

    R[36][37]

    16

    6/4

    Final exam

     

    17

    6/11

    Self-study with assignments

     

    18

    6/18

    Self-study with selected topic

     

    Textbooks:

    1. "Land-Use and Land-Cover Change: Local Processes and Global Impacts" by Lambin, E.F. 2004

    2."Understanding Human History" by Hart, M. H. 2007 

    References:

    1. Allen, T. F. H., &Hoekstra, T. W.,1992. Toward a Unified Ecology.https://doi.org/10.2307/4002476
    2. Canadell, J., Jackson, R., Ehleringer, J., Mooney, H. A., Sala, O. E.,andSchulze, E.-D. 1996. Maximum rooting depth of vegetation types at the global scale. Oecologia 108 583–595. https://doi.org/10.1007/BF00329030
    3. Chang-Martínez, L. A., Mas, J. F., Valle, N. T., Torres, P. S. U.,and Folan, W. J. 2015. Modeling historical land cover and land use: A review from contemporary modeling. ISPRS International Journal of Geo-Information 4(4): 1791–1812. https://doi.org/10.3390/ijgi4041791
    4. Chen, X.,andNiu, J. 2020. Relationships between tree height and tree species richness at small scales. Acta Oecologica 109(October): 103668. https://doi.org/10.1016/j.actao.2020.103668
    5. Chen, Y.Y., Huang, W., Wang, W.H., Juang, J.Y., Hong, J.S., Kato, T., Luyssaert, S., 2019. Reconstructing Taiwan’s land cover changes between 1904 and 2015 from historical maps and satellite images, Scientific Reports, 9, 3643. https://doi.org/10.1038/s41598-019-40063-1
    6. Deng, X.,andLi, Z. 2016. A review on historical trajectories and spatially explicit scenarios of land-use and land-cover changes in China. Journal of Land Use Science 11(6): 709–724. https://doi.org/10.1080/1747423X.2016.1241312
    7. 劉翠溶. 2005. 中國環境史研究芻議. https://idv.sinica.edu.tw/ectjliu/
    8. Ellis, E. C. 2021. Land Use and Ecological Change: A 12,000-Year History. Annual Review of Environment and Resources 46 1–33. https://doi.org/10.1146/annurev-environ-012220-010822
    9. Ellis, E. C., Kaplan, J. O., Fuller, D. Q., Vavrus, S., Goldewijk, K. K.,andVerburg, P. H. 2013. Used planet: A global history. Proceedings of the National Academy of Sciences of the United States of America 110(20): 7978–7985. https://doi.org/10.1073/pnas.1217241110
    10. Fayet, C. M. J., Reilly, K. H., VanHam, C.,andVerburg, P. H. 2022. What is the future of abandoned agricultural lands? A systematic review of alternative trajectories in Europe. Land Use Policy 112(February 2021): 105833. https://doi.org/10.1016/j.landusepol.2021.105833
    11. Gingrich, S., Niedertscheider, M., Kastner, T., Haberl, H., Cosor, G., Krausmann, F., Kuemmerle, T., Müller, D., Reith-Musel, A., Jepsen, M. R., Vadineanu, A.,andErb, K. H. 2015. Exploring long-term trends in land use change and aboveground human appropriation of net primary production in nine European countries. Land Use Policy 47 426–438. https://doi.org/10.1016/j.landusepol.2015.04.027
    12. Goldewijk, K. K. 2001. Estimating global land use change over the past 300 years: The HYDE database. Global Biogeochemical Cycles 15(2): 417–433. https://doi.org/10.1029/1999GB001232
    13. Goldewijk, K. K. and Navin Ramankutty 2004. Land cover change over the last three centuries due to human activities: The availability of new global data sets https://doi.org/10.1007/s10708-004-5050-z
    14. Harrison, S. P., Bartlein, P. J.,andPrentice, I. C. 2016. What have we learnt from paleoclimate simulations? Journal of Quaternary Science 31(4): 363–385. https://doi.org/10.1002/jqs.2842
    15. Haywood, A. M., Valdes, P. J., Aze, T., Barlow, N., Burke, A., Dolan, A. M., von derHeydt, A. S., Hill, D. J., Jamieson, S. S. R., Otto-Bliesner, B. L., Salzmann, U., Saupe, E.,andVoss, J. 2019. What can Palaeoclimate Modelling do for you? Earth Systems and Environment 3(1): 1–18. https://doi.org/10.1007/s41748-019-00093-1
    16. ArchaeoGLOBE Project. 2019. Archaeological assessment reveals Earth ’ s early transformation through land use. 902 897–902. https://www.science.org/doi/10.1126/science.aax1192
    17. Hoffmann, P., Reinhart, V., Rechid, D., Noblet-ducoudré, N.De, Davin, L., Asmus, C., Bechtel, B., Böhner, J., Katragkou, E.,andLuyssaert, S. 2021. Future Changes. August 1–43.
    18. Jin, X. 2018. Historical Farmland in China During 1661-1980. http://www.springer.com
    19. Kattge, J., Díaz, S., Lavorel, S., Prentice, I. C., Leadley, P., Bönisch, G., Garnier, E., Westoby, M., Reich, P. B., Wright, I. J., Cornelissen, J. H. C., Violle, C., Harrison, S. P., VanBodegom, P. M., Reichstein, M., Enquist, B. J., Soudzilovskaia, N. A., Ackerly, D. D., Anand, M.,…Wirth, C. 2011. TRY - a global database of plant traits. Global Change Biology 17(9): 2905–2935. https://doi.org/10.1111/j.1365-2486.2011.02451.x
    20. Klein Goldewijk, K.,andRamankutty, N. 2004. Land cover change over the last three centuries due to human activities: The availability of new global data sets. Geo Journal 61(4): 335–344. https://doi.org/10.1007/s10708-004-5050-z
    21. Kottek, M., Grieser, J., Beck, C., Rudolf, B.,andRubel, F. 2006. World map of the Köppen-Geiger climate classification updated. Meteorologische Zeitschrift 15(3): 259–263. https://doi.org/10.1127/0941-2948/2006/0130
    22. Liu, J., Kuang, W., Zhang, Z., Xu, X., Qin, Y., Ning, J., Zhou, W., Zhang, S., Li, R., Yan, C., Wu, S., Shi, X., Jiang, N., Yu, D., Pan, X.,andChi, W. 2014. Spatiotemporal characteristics, patterns and causes of land use changes in China since the late 1980s. Dili Xuebao/Acta Geographica Sinica 69(1): 3–14. https://doi.org/10.11821/dlxb201401001
    23. Liu, J., Zhang, Z., Xu, X., Kuang, W., Zhou, W., Zhang, S., Li, R., Yan, C., Yu, D., Wu, S.,andJiang, N. 2010. Spatial patterns and driving forces of land use change in China during the early 21st century. Journal of Geographical Sciences 20(4): 483–494. https://doi.org/10.1007/s11442-010-0483-4
    24. Liu, M.,andTian, H. 2010. China’s land cover and land use change from 1700 to 2005: Estimations from high-resolution satellite data and historical archives. Global Biogeochemical Cycles 24(3):. https://doi.org/10.1029/2009GB003687
    25. Miao, L., Zhu, F., He, B., Ferrat, M., Liu, Q., Cao, X.,andCui, X. 2013. Synthesis of China’s land use in the past 300years. Global and Planetary Change 100 224–233. https://doi.org/10.1016/j.gloplacha.2012.10.021\
    26. Morrison, KD, Hammer, E, Boles, O, Madella, M, Whitehouse, N, Gaillard, M-J, et al. 2021. Mapping past human land use using archaeological data: A new classification for global land use synthesis and data harmonization. PLoS ONE 16(4): e0246662. https://doi.org/10.1371/journal.pone.0246662
    27. Moulds, S., Buytaert, W., and Mijic, A. 2015, An open and extensible framework for spatially explicit land use change modelling: the lulcc R package, Geosci. Model Dev., 8, 3215–3229, https://doi.org/10.5194/gmd-8-3215-2015
    28. Park, J.R. Environmental Management in Agriculture: European Perspectives.
    29. Reinhart, V., Hoffmann, P., Rechid, D.,andBechtel, B. 2021. High-resolution land-use land-cover change data for regional climate simulations over Europe - Part I: The plant functional type basemap for 2015. August 1–54.
    30. Rosina, K., Batista e Silva, F., Vizcaino, P., Marín Herrera, M., Freire, S.,andSchiavina, M. 2020. Increasing the detail of European land use/cover data by combining heterogeneous data sets. International Journal of Digital Earth 13(5): 602–626. https://doi.org/10.1080/17538947.2018.1550119
    31. Sea, D. S.,andWhitlock, C. 1995. Postglacial vegetation and climate of the cascade range, central oregon. Quaternary Research 43(3): 370–381. https://doi.org/10.1006/qres.1995.1043
    32. Soligo, C. 2005. Pliocene. 8 486–493.
    33. Stephens, L., Fuller, D., Boivin, N., Rick, T., Gauthier, N., Kay, A., Marwick, B., Armstrong, C. G. D., Barton, C. M., Denham, T., Douglass, K., Driver, J., Janz, L., Roberts, P., Rogers, J. D., Thakar, H., Johnson, A. L., Vattuone, M. M. S., Aldenderfer, M.,…Ellis, E. 2019. Archaeological assessment reveals Earth’s early transformation through land use. Science 365(6456): 897–902. https://doi.org/10.1126/science.aax1192
    34. Tao, S., Guo, Q., Li, C., Wang, Z.,andFang, J. 2016. Global patterns and determinants of forest canopy height. Ecology 97(12): 3265–3270. https://doi.org/10.1002/ecy.1580
    35. Weigelt, P., König, C.,andKreft, H. 2020. GIFT – A Global Inventory of Floras and Traits for macroecology and biogeography. Journal of Biogeography 47(1): 16–43. https://doi.org/10.1111/jbi.13623
    36. Yang, X., Jin, X., Xue, Q.,andZhou, Y. 2022. Land Use Policy Reconstruction of the spatial distribution of historical farmland in the Taiwan Province of China for 1659 – 1945. 114(October 2020):
    37. Yang, X., Xue, Q.,and Zhou, Y. 2021. Reconstruction of farmland dataset of Taiwan province in recent 300 years. Journal of Natural Resources 36(8): 2163. https://doi.org/10.31497/zrzyxb.20210819
    38. Yang, Y., Zhang, S., Liu, Y., Xing, X.,andDeSherbinin, A. 2017. Analyzing historical land use changes using a Historical Land Use Reconstruction Model: A case study in Zhenlai County, northeastern China. Scientific Reports 7(September 2016): https://doi.org/10.1038/srep41275
    39. Yang, Y., Zhang, S., Yang, J., Chang, L., Bu, K.,andXing, X. 2014. A review of historical reconstruction methods of land use/land cover. Journal of Geographical Sciences 24(4): 746–766. https://doi.org/10.1007/s11442-014-1117-z
    40. Zhao, X., van derMensbrugghe, D. Y., Keeney, R. M.,andTyner, W. E. 2020. Improving the way land use change is handled in economic models. Economic Modelling 84(March 2019): 13–26. https://doi.org/10.1016/j.econmod.2019.03.003
    41. Himiyama, Y., 2018. Exploring Sustainable Land Use in Monsoon Asia.
    42. Hurtt, G., Chini, L., Sahajpal, R., Frolking, S., Bodirsky, B., Calvin, K., et al. 2020. Harmonization of Global Land-Use Change and Management for the Period 850–2100 (LUH2) for CMIP6. Geoscientific Model Development Discussions. https://doi.org/10.5194/gmd-2019-360
    43. IPCC, 2019. Special report on climate change and land
    44. 陳媛. 2020. 土地利用變化對區域域碳會的影響綜述. 地礦測繪3(3): 35-36.
    45. 劉多森. 2004. 黃土高原近兩千年來土地利用和環境變遷. 第四紀研究 24(2): 184-190
    46. 李相僖/尹信榮. 2018.人類的起源. 譯者/陳建安/三采文化
    47. UN, 2022, Global Land Outlook

     

    授課方式Teaching Approach

    70%

    講述 Lecture

    10%

    討論 Discussion

    0%

    小組活動 Group activity

    20%

    數位學習 E-learning

    0%

    其他： Others:

    評量工具與策略、評分標準成效Evaluation Criteria

    課程參與討論: 30% Lecture Participation 30 pts
    未參加當周課程討論 無法取得該周討論得分每周最高以2分計算 -2 pts for no-show 
    課程互動 每次答題2分計算 +2 pts for each interactive response
    期中考試：35% Mid-term: 35 pts
    期末考試: 35 % Final exam: 35pts

    30%  Lecture participation 30 pts ( -2 pts for no-show +2 pts for each interactive response)
    35%  Mid-term exam: 35 pts
    35 % Final exam: 35pts

    指定/參考書目Textbook & References

    Textbooks:

    1. "Land-Use and Land-Cover Change: Local Processes and Global Impacts" by Lambin, E.F. 2004

    2."Understanding Human History" by Hart, M. H. 2007 

    References:

    1. Allen, T. F. H., &Hoekstra, T. W.,1992. Toward a Unified Ecology.https://doi.org/10.2307/4002476
    2. Canadell, J., Jackson, R., Ehleringer, J., Mooney, H. A., Sala, O. E.,andSchulze, E.-D. 1996. Maximum rooting depth of vegetation types at the global scale. Oecologia 108 583–595. https://doi.org/10.1007/BF00329030
    3. Chang-Martínez, L. A., Mas, J. F., Valle, N. T., Torres, P. S. U.,andFolan, W. J. 2015. Modeling historical land cover and land use: A review from contemporary modeling. ISPRS International Journal of Geo-Information 4(4): 1791–1812. https://doi.org/10.3390/ijgi4041791
    4. Chen, X.,andNiu, J. 2020. Relationships between tree height and tree species richness at small scales. Acta Oecologica 109(October): 103668. https://doi.org/10.1016/j.actao.2020.103668
    5. Chen, Y.Y., Huang, W., Wang, W.H., Juang, J.Y., Hong, J.S., Kato, T., Luyssaert, S., 2019. Reconstructing Taiwan’s land cover changes between 1904 and 2015 from historical maps and satellite images, Scientific Reports, 9, 3643. https://doi.org/10.1038/s41598-019-40063-1
    6. Deng, X.,andLi, Z. 2016. A review on historical trajectories and spatially explicit scenarios of land-use and land-cover changes in China. Journal of Land Use Science 11(6): 709–724. https://doi.org/10.1080/1747423X.2016.1241312
    7. 劉翠溶. 2005. 中國環境史研究芻議. https://idv.sinica.edu.tw/ectjliu/
    8. Ellis, E. C. 2021. Land Use and Ecological Change: A 12,000-Year History. Annual Review of Environment and Resources 46 1–33. https://doi.org/10.1146/annurev-environ-012220-010822
    9. Ellis, E. C., Kaplan, J. O., Fuller, D. Q., Vavrus, S., Goldewijk, K. K.,andVerburg, P. H. 2013. Used planet: A global history. Proceedings of the National Academy of Sciences of the United States of America 110(20): 7978–7985. https://doi.org/10.1073/pnas.1217241110
    10. Fayet, C. M. J., Reilly, K. H., VanHam, C.,andVerburg, P. H. 2022. What is the future of abandoned agricultural lands? A systematic review of alternative trajectories in Europe. Land Use Policy 112(February 2021): 105833. https://doi.org/10.1016/j.landusepol.2021.105833
    11. Gingrich, S., Niedertscheider, M., Kastner, T., Haberl, H., Cosor, G., Krausmann, F., Kuemmerle, T., Müller, D., Reith-Musel, A., Jepsen, M. R., Vadineanu, A.,andErb, K. H. 2015. Exploring long-term trends in land use change and aboveground human appropriation of net primary production in nine European countries. Land Use Policy 47 426–438. https://doi.org/10.1016/j.landusepol.2015.04.027
    12. Goldewijk, K. K. 2001. Estimating global land use change over the past 300 years: The HYDE database. Global Biogeochemical Cycles 15(2): 417–433. https://doi.org/10.1029/1999GB001232
    13. Goldewijk, K. K. and Navin Ramankutty 2004. Land cover change over the last three centuries due to human activities: The availability of new global data sets https://doi.org/10.1007/s10708-004-5050-z
    14. Harrison, S. P., Bartlein, P. J.,andPrentice, I. C. 2016. What have we learnt from paleoclimate simulations? Journal of Quaternary Science 31(4): 363–385. https://doi.org/10.1002/jqs.2842
    15. Haywood, A. M., Valdes, P. J., Aze, T., Barlow, N., Burke, A., Dolan, A. M., von derHeydt, A. S., Hill, D. J., Jamieson, S. S. R., Otto-Bliesner, B. L., Salzmann, U., Saupe, E.,andVoss, J. 2019. What can Palaeoclimate Modelling do for you? Earth Systems and Environment 3(1): 1–18. https://doi.org/10.1007/s41748-019-00093-1
    16. ArchaeoGLOBE Project. 2019. Archaeological assessment reveals Earth ’ s early transformation through land use. 902 897–902. https://www.science.org/doi/10.1126/science.aax1192
    17. Hoffmann, P., Reinhart, V., Rechid, D., Noblet-ducoudré, N.De, Davin, L., Asmus, C., Bechtel, B., Böhner, J., Katragkou, E.,andLuyssaert, S. 2021. Future Changes. August 1–43.
    18. Jin, X. 2018. Historical Farmland in China During 1661-1980. http://www.springer.com
    19. Kattge, J., Díaz, S., Lavorel, S., Prentice, I. C., Leadley, P., Bönisch, G., Garnier, E., Westoby, M., Reich, P. B., Wright, I. J., Cornelissen, J. H. C., Violle, C., Harrison, S. P., VanBodegom, P. M., Reichstein, M., Enquist, B. J., Soudzilovskaia, N. A., Ackerly, D. D., Anand, M.,…Wirth, C. 2011. TRY - a global database of plant traits. Global Change Biology 17(9): 2905–2935. https://doi.org/10.1111/j.1365-2486.2011.02451.x
    20. Klein Goldewijk, K.,andRamankutty, N. 2004. Land cover change over the last three centuries due to human activities: The availability of new global data sets. Geo Journal 61(4): 335–344. https://doi.org/10.1007/s10708-004-5050-z
    21. Kottek, M., Grieser, J., Beck, C., Rudolf, B.,andRubel, F. 2006. World map of the Köppen-Geiger climate classification updated. Meteorologische Zeitschrift 15(3): 259–263. https://doi.org/10.1127/0941-2948/2006/0130
    22. Liu, J., Kuang, W., Zhang, Z., Xu, X., Qin, Y., Ning, J., Zhou, W., Zhang, S., Li, R., Yan, C., Wu, S., Shi, X., Jiang, N., Yu, D., Pan, X.,andChi, W. 2014. Spatiotemporal characteristics, patterns and causes of land use changes in China since the late 1980s. Dili Xuebao/Acta Geographica Sinica 69(1): 3–14. https://doi.org/10.11821/dlxb201401001
    23. Liu, J., Zhang, Z., Xu, X., Kuang, W., Zhou, W., Zhang, S., Li, R., Yan, C., Yu, D., Wu, S.,andJiang, N. 2010. Spatial patterns and driving forces of land use change in China during the early 21st century. Journal of Geographical Sciences 20(4): 483–494. https://doi.org/10.1007/s11442-010-0483-4
    24. Liu, M.,andTian, H. 2010. China’s land cover and land use change from 1700 to 2005: Estimations from high-resolution satellite data and historical archives. Global Biogeochemical Cycles 24(3):. https://doi.org/10.1029/2009GB003687
    25. Miao, L., Zhu, F., He, B., Ferrat, M., Liu, Q., Cao, X.,andCui, X. 2013. Synthesis of China’s land use in the past 300years. Global and Planetary Change 100 224–233. https://doi.org/10.1016/j.gloplacha.2012.10.021\
    26. Morrison, KD, Hammer, E, Boles, O, Madella, M, Whitehouse, N, Gaillard, M-J, et al. 2021. Mapping past human land use using archaeological data: A new classification for global land use synthesis and data harmonization. PLoS ONE 16(4): e0246662. https://doi.org/10.1371/journal.pone.0246662
    27. Moulds, S., Buytaert, W., and Mijic, A. 2015, An open and extensible framework for spatially explicit land use change modelling: the lulcc R package, Geosci. Model Dev., 8, 3215–3229, https://doi.org/10.5194/gmd-8-3215-2015
    28. Park, J.R. Environmental Management in Agriculture: European Perspectives.
    29. Reinhart, V., Hoffmann, P., Rechid, D.,andBechtel, B. 2021. High-resolution land-use land-cover change data for regional climate simulations over Europe - Part I: The plant functional type basemap for 2015. August 1–54.
    30. Rosina, K., Batista e Silva, F., Vizcaino, P., Marín Herrera, M., Freire, S.,andSchiavina, M. 2020. Increasing the detail of European land use/cover data by combining heterogeneous data sets. International Journal of Digital Earth 13(5): 602–626. https://doi.org/10.1080/17538947.2018.1550119
    31. Sea, D. S.,andWhitlock, C. 1995. Postglacial vegetation and climate of the cascade range, central oregon. Quaternary Research 43(3): 370–381. https://doi.org/10.1006/qres.1995.1043
    32. Soligo, C. 2005. Pliocene. 8 486–493.
    33. Stephens, L., Fuller, D., Boivin, N., Rick, T., Gauthier, N., Kay, A., Marwick, B., Armstrong, C. G. D., Barton, C. M., Denham, T., Douglass, K., Driver, J., Janz, L., Roberts, P., Rogers, J. D., Thakar, H., Johnson, A. L., Vattuone, M. M. S., Aldenderfer, M.,…Ellis, E. 2019. Archaeological assessment reveals Earth’s early transformation through land use. Science 365(6456): 897–902. https://doi.org/10.1126/science.aax1192
    34. Tao, S., Guo, Q., Li, C., Wang, Z.,andFang, J. 2016. Global patterns and determinants of forest canopy height. Ecology 97(12): 3265–3270. https://doi.org/10.1002/ecy.1580
    35. Weigelt, P., König, C.,andKreft, H. 2020. GIFT – A Global Inventory of Floras and Traits for macroecology and biogeography. Journal of Biogeography 47(1): 16–43. https://doi.org/10.1111/jbi.13623
    36. Yang, X., Jin, X., Xue, Q.,andZhou, Y. 2022. Land Use Policy Reconstruction of the spatial distribution of historical farmland in the Taiwan Province of China for 1659 – 1945. 114(October 2020):
    37. Yang, X., Xue, Q.,and Zhou, Y. 2021. Reconstruction of farmland dataset of Taiwan province in recent 300 years. Journal of Natural Resources 36(8): 2163. https://doi.org/10.31497/zrzyxb.20210819
    38. Yang, Y., Zhang, S., Liu, Y., Xing, X.,andDeSherbinin, A. 2017. Analyzing historical land use changes using a Historical Land Use Reconstruction Model: A case study in Zhenlai County, northeastern China. Scientific Reports 7(September 2016): https://doi.org/10.1038/srep41275
    39. Yang, Y., Zhang, S., Yang, J., Chang, L., Bu, K.,andXing, X. 2014. A review of historical reconstruction methods of land use/land cover. Journal of Geographical Sciences 24(4): 746–766. https://doi.org/10.1007/s11442-014-1117-z
    40. Zhao, X., van derMensbrugghe, D. Y., Keeney, R. M.,andTyner, W. E. 2020. Improving the way land use change is handled in economic models. Economic Modelling 84(March 2019): 13–26. https://doi.org/10.1016/j.econmod.2019.03.003
    41. Himiyama, Y., 2018. Exploring Sustainable Land Use in Monsoon Asia.
    42. Hurtt, G., Chini, L., Sahajpal, R., Frolking, S., Bodirsky, B., Calvin, K., et al. 2020. Harmonization of Global Land-Use Change and Management for the Period 850–2100 (LUH2) for CMIP6. Geoscientific Model Development Discussions. https://doi.org/10.5194/gmd-2019-360
    43. IPCC, 2019. Special report on climate change and land
    44. 陳媛. 2020. 土地利用變化對區域域碳會的影響綜述. 地礦測繪3(3): 35-36.
    45. 劉多森. 2004. 黃土高原近兩千年來土地利用和環境變遷. 第四紀研究 24(2): 184-190
    46. 李相僖/尹信榮. 2018.人類的起源. 譯者/陳建安/三采文化
    47. UN, 2022, Global Land Outlook

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