美洲耕地利用格局及其时空变化特征

doi:10.3864/j.issn.0578-1752.2018.06.012

摘要/Abstract

摘要： 【目的】耕地时空格局变化特征分析是地表覆盖研究的热点问题之一。美洲作为全球重要的粮食生产区，其耕地数量和分布具有全球性战略地位，科学分析美洲耕地时空格局变化特征、过程和规律为耕地可持续发展提供科学参考。【方法】基于GlobeLand30数据集，运用数理统计和GIS空间分析等方法，系统分析了2000—2010年美洲耕地面积数量变化、空间分布及类型转化特征，并重点分析了亚马逊地区耕地格局变化状况。【结果】2010年美洲耕地总面积为52 875.05×10⁴ hm²；2000—2010年的10年间，美洲耕地总面积总体增加，面积增加约2 128.14×10⁴ hm²，增幅约4.19%。耕地面积增加最大国家为巴西，幅度达到9.51%，位居美洲国家之首，其次为阿根廷；减少最大国家为厄瓜多尔，面积减少101.14×10⁴ hm²。10年间美洲耕地复种指数增加2.42%，变化最为显著国家为巴拉圭、波多黎各。从耕地变化类型看，美洲新增耕地主要来源于林地、草地，而耕地减少主要是由于人造地表的侵占。美国耕地总量最多，但10年间耕地增长率较低，仅为0.08%，绝大部分损失的耕地转为人造地表，由于收获面积的减少导致复种指数减少了0.89%；巴西耕地总量仅次于美国，耕地大幅度增加主要来源于林地和草地，同时复种指数有较大程度提高。亚马逊地区作为美洲重要的生态和农业区域，10年间耕地增长8.41%，耕地增长伴随着森林、草地被大量破坏，尤其在巴西西南和厄瓜多尔表现最为剧烈。【结论】2000—2010年美洲耕地整体上呈现增加态势，国家间耕地利用格局变化差异明显；耕地主要来源于林地、草地和灌木，增长集中在巴西和阿根廷，耕地主要转出为人造地表，集中在美国。作为美洲重要的粮食生产区，亚马逊地区耕地面积和耕地复种指数都提高，两者同步增加一定程度上提高区域或全球粮食产量，但其带来的生态环境效益需要深入关注。

关键词: 美洲, 耕地, 空间格局, 多尺度, 时空变化特征, GlobeLand30

Abstract: 【Objective】The analysis of the spatial and temporal pattern of cropland is one of the hot issues of land surface research. As the world's most important grain production area, a spatio-temporal pattern analysis of America provides regional insight for cropland sustainable development with potential global applications.【Method】GlobeLand30—Cropland, mathematical statistics and GIS-based spatial analysis methods were adopted to explore the spatial-temporal characteristics of cropland area and conversion in America from 2000 to 2010, with particular emphasis on the Amazon region.【Result】This analysis shows that the total cropland area increased by 4.19% from 2000 to 2010 with 2 128.14×10⁴ hm², mainly converted from forest and grassland. The main conversion from cropland was to artificial surfaces. The major cropland expansion happened in Brazil with a rate of 9.51%, followed by Argentina. Ecuador showed the greatest decrease with 101.14×10⁴ hm². From 2000 to 2010, the multiple cropping index increased across the entire region by 2.42%, with Paraguay and Puerto Rico exhibiting the most significant changes. The United States of America had the most cropland area, however growth rate was only 0.08% and the multiple cropping index decreased by 0.89%. Brazil had the second highest amount of cropland area and a high rate of increase (9.51%), with most of the new cropland converted from forest and grassland. As the most important agricultural district and ecoregion in America, the Amazon experienced a cropland increase of 8.41%, with the direct conversions mostly occurring in the southwest of Brazil and Ecuador.【Conclusion】The total amount of cropland in America increased during 2000-2010, but there were large differences between countries. The direct conversions to cropland were mainly from woodlands, grasslands and shrubland in Brazil and Argentina. Loss of cropland was primarily caused by conversion to artificial land. Additionally, the Amazon experienced a steady increase in both the area of cropland and the multiple cropping index. While these increases bolster the regional and global grain production, the ecological environmental effects require more consideration.

Key words: American, cropland, spatial pattern, multi-scale, spatiotemporal characteristics, GlobeLand30

龙禹桥，吴文斌，胡琼，陈迪，项铭涛，陆苗，余强毅 . 美洲耕地利用格局及其时空变化特征[J]. 中国农业科学, 2018, 51(6): 1134-1143.

LONG YuQiao, WU WenBin, HU Qiong, CHEN Di, XIANG MingTao, LU Miao, YU QiangYi. Spatio-Temporal Changes in America’s Cropland over 2000-2010[J]. Scientia Agricultura Sinica, 2018, 51(6): 1134-1143.

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参考文献

[1] 杨桂山. 长江三角洲耕地数量变化趋势及总量动态平衡前景分析. 自然资源学报, 2002, 17(5): 525-532.

YANG G S. Cropland area change and the probability of maintaining dynamic balance of its amount in the Yangtze River Delta. Journal of Natural Resources, 2002, 17(5): 525-532. (in Chinese)

[2] 黄亚捷, 叶回春, 张世文, 郧文聚, 黄元仿. 基于自组织特征映射神经网络的中国耕地生产力分区. 中国农业科学, 2015, 48(6): 1136-1150.

HUANG Y J, YE H C, ZHANG S W, YUN W J, HUANG Y H. Zoning of arable land productivity based on self—organizing map in China. Scientia Agricultura Sinica, 2015, 48(6): 1136-1150. (in Chinese)

[3] 唐华俊, 吴文斌, 余强毅, 夏天, 杨鹏, 李正国. 农业土地系统研究及其关键科学问题. 中国农业科学, 2015, 48(5): 900-910.

TANG H J, WU W B, YU Q Y, XI T, YANG P, LI Z G. Key research priorities for agricultural land system studies. Scientia Agricultura Sinica, 2015, 48(5): 900-910. (in Chinese)

[4] FAO. 2012. FAO statistical yearbook 2012, Food and Agriculture Organization of the United Nations.

[5] LAMBIN E F, GIBBS H K, FERREIRA L, GRAU R, MAYAUX P, MEYFROIDT P, MORTON D, RUDEL T, GASPARRI I, MUNGER J. Estimating the worlds potentially available cropland using a bottom up approach. Glob Environ Change, 2013, 23: 892-901.

[6] Nikos A. World Agriculture: Towards 2010: An FAO Study. Chichester, England: FAO and Wiley, 1995: 488.

[7] FOLEY J A, RAMANKUTTY N, BRAUMAN K A, CASSIDY E S, GERBER J S, JOHNSTON M, MUELLER N D, O^，CONNELL C, RAY D K, WEST P C, BALZER C, BENNETT E M, CARPENTER S R, HILL J, MONFREDA C, POLASKY S, ROCKSTROM J, SHEEHAN J, SIEBERT S. Solutions for a cultivated planet. Nature, 2011, 478: 337-342.

[8] LAUE J E, ARIMA E Y. Spatially explicit models of land abandonment in the Amazon. Journal of Land Use Science, 2016, 11(1): 48-75.

[9] AIDE T M, MUÑIZ M. Deforestation and reforestation of Latin America and the Caribbean (2001–2010). Biotropica, 2013, 45(2): 262-271.

[10] Douglas C M, RUTH S D, YOSIO E S, LIANA O A, EGIDIO A, FERNANDODEL B E, RAMON F, JEFF M. Cropland expansion changes deforestation dynamics in the Southern Brazilian Amazon. Proceedings of the National Academy of Sciences of the United States of America, 2006, 103(39): 14637-14641.

[11] ZEIGLER M, TRUITT NAKATA G. The next global breadbasket: How Latin America can feed the world: A call to action for addressing challenges & developing solutions. Inter—American Development Bank, 2014.

[12] INSTITUTE S T. The future of tropical forests. Annals of the New York Academy of Sciences, 2012, 1268(1): 1-27.

[13] DEFRIES R S, HOUGHTON R A, HANSEN M C, FIELD C B, SKOLE D, TOWNSHEND J. Carbon emissions from tropical deforestation and regrowth based on satellite observations for the 1980s and 1990s. Proceedings of the National Academy of Sciences of the United States of America, 2002, 99(22): 14256-14261.

[14] KARSTENSEN J, PETERS G P, ANDREW R M. Attribution of CO₂ emissions from Brazilian deforestation to consumers between 1990 and 2010. Environmental Research Letters, 2013, 8(2): 279-288.

[15] GRAESSER J, AIDE T M, GRAU H R, RAMANKUTTY N. Cropland/pastureland dynamics and the slowdown of deforestation in Latin America. Environmental Research Letters, 10(2015)034017.

[16] ARVOR D, MEIRELLES M, DUBREUIL V, BEGUE A, SHIMABUKURO Y E. Analyzing the agricultural transition in Mato Grosso, Brazil, using satellite—derived indices. Applied Geography, 2012, 32(2): 702-713.

[17] 杜国明, 匡文慧, 孟凡浩, 迟文峰, 陆灯盛. 巴西土地利用/覆盖变化时空格局及驱动因素. 地理科学进展, 2015, 34(1): 73-82.

DU G M, KUANG W H, MENG F H, CHI W F, LU D S. Spatiotemporal pattern and driving forces of land use/cover change in Brazil. Progress in Geography, 2015, 34(1): 73-82. (in Chinese)

[18] 赵文武. 世界主要国家耕地动态变化及其影响因素. 生态学报, 2012, 32(20):6452-6462.

ZHAO W W. Arable land change dynamics and their driving forces for the major countries of the world. Acta Ecologica Sinica, 2012, 32(20): 6452-6462. (in Chinese)

[19] CHEN J, CHEN J, LIAO A P, CAO X, CHEN L J, CHEN X H, HE C Y, HAN G, PENG S, LU M, ZHANG W W, TONG X H, MILLS J. Global land cover mapping at 30m resolution: a POK— based operational approach. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 103: 7-27.

[20] 曹鑫, 陈学泓, 张委伟, 廖安平, 陈利军, 陈志刚, 陈晋. 全球30m空间分辨率耕地遥感制图研究. 中国科学:地球科学, 2016, 46(11): 1426-1435.

CAO X, CHEN X H, ZHANG W W, LIAO A P, CHEN L J, CHEN Z G, CHEN J. Global cultivated land mapping at 30 m spatial resolution. Scientia Sinica (Terrae), 2016, 59(11): 1426-1435. (in Chinese)

[21] 陈军, 陈利军, 李然, 廖安平, 彭舒, 鲁楠, 张宇硕. 基于GlobeLand30的全球城乡建设用地空间分布与变化统计分析. 测绘学报, 2015, 44(11): 1181-1188.

CHEN J, CHEN L J, LI R, LIAN A P, PENG S, LU N, ZHANG Y S. Spatial Distribution and ten years change of global built—up areas derived from GlobeLand30. Acta Geodaetica et Cartographica Sinica,2015, 44(11): 1181-1188. (in Chinese)

[22] 曹鑫, 陈军, 陈利军, 廖安平, 孙芳蒂, 李阳, 李磊, 林忠辉, 庞治国, 陈晋, 何超英, 彭舒. 全球陆表水体空间格局与波动初步分析. 中国科学:地球科学, 2014, 44(8):1661-1670.

CAO X, CHEN J, CHEN L J, LIAN A P, SUN F D, LI Y, LI L, LIN Z H, PANG Z G, CHEN J, HE C Y, PENG S. Preliminary analysis of spatiotemporal pattern of global land surface water. Science China: Earth Sciences, 2014, 44(8): 1661-1670. (in Chinese)

[23] 杨洋, 麻馨月, 何春阳. 基于GlobeLand 30的耕地资源损失过程研究——以环渤海地区为例. 中国土地科学, 2016, 30(7):72-79.

YANG Y, MA X Y, HE C Y. The Loss Process of Cultivated Land based on Globe Land 30: A Case Study of Bohai Rim. China Land Sciences, 2016, 30(7):72-79. (in Chinese)

[24] 刘吉羽, 彭舒, 陈军, 廖安平，张宇硕. 基于知识的GlobeLand30耕地数据质量检查方法与工程实践. 测绘通报, 2015(4):42-48.

LIU J Y, PENG S, CHEN J, LIAO A P, ZHANG Y S. Knowledge Based Quality Checking Method and Engineering Practice of GlobeLand30 Cropland Data. Bulletin of Surveying and Mapping, 2015, 2015(4):42-48. (in Chinese)

[25] 胡琼, 吴文斌, 项铭涛, 陈迪, 龙禹桥, 宋茜, 刘逸竹, 陆苗, 余强毅. 全球耕地利用格局时空变化分析. 中国农业科学, 2017, 50(22): 1091-1105.

HU Q, WU W B, XIANG M T, CHEN D, LONG Y Q, SONG Q, LIU Y Z, LU M, YU Q Y. Spatio-temporal Changes in Global Cultivated Land over 2000-2010. Scientia Agricultura Sinica, 2017, 50(22): 1091-1105. (in Chinese)

[26] MORTON D C, NOOJIPADY P, MACEDO M M, GIBBS H, VICTORIA D C, BOLFE E L. Reevaluating suitability estimates based on dynamics of cropland expansion in the Brazilian Amazon. Global Environmental Change, 2016, 37: 92-101.

[27] BOWMAN M S, SOARES-FILHO B S, MERRY F D,NEPSTAD D C, RODRIGUES H, ALMEIDA O T. Persistence of cattle ranching in the Brazilian Amazon: A spatial analysis of the rationale for beef production. Land Use Policy, 2012, 29(3): 558-568.

[28] BARRETTO A G O P, BERNDES G, SPAROVEK G, WIRSENIUS S. Agricultural intensification in Brazil and its effects on land-use patterns: an analysis of the 1975-2006 period. Global Change Biology, 2013, 19(6): 1804-1815.

[29] CLARK M L, AIDE T M, RINER G. Land change for all municipalities in Latin America and the Caribbean assessed from 250m MODIS imagery (2001–2010). Remote Sensing of Environment, 2012, 126(4): 84-103.

[30] LIU J Y, KUANG W H, ZHANG Z X, XU X L, QIN Y W, NING J, ZHOU W C, ZHANG S W, LI R D, YAN C Z, WU S X, SHI X Z, JIANG N, YU D S, PAN X Z, CHI W F. Spatiotemporal characteristics, patterns and causes of land use changes in China since the late 1980s. Journal of Geographical Sciences, 2014, 24(2): 195-210.

[31] 张仲威. 试谈中国农业、农村经济发展前景—从美国经济危机中得到的启示. 农业展望, 2009, 5(5): 37-39.

ZHANG Z W. Discussion of China's agricultural and rural economic prospects—lessons from the US economic crisis. Agricultural Outlook, 2009, 5(5): 37-39. (in Chinese)

[32] 贾洪雷, 马成林, 李慧珍, 陈忠亮. 基于美国保护性耕作分析的东北黑土区耕地保护. 农业机械学报, 2010, 41(10): 28-34.

JIA H L, MA C L, LI H Z, CHEN Z L. Tillage soil protection of black soil zone in Northeast of China based on analysis of conservation tillage in the United States. Transactions of the Chinese Society for Agricultural Machinery, 2010, 41(10): 28-34. (in Chinese)

[33] GALFORD G L, M USTARD J F, MELILLO J, GENDRIN A, CERRI C C, CERRI C E P. Wavelet analysis of MODIS time series to detect expansion and intensification of row—crop agriculture in Brazil. Remote Sensing of Environment, 2008, 112(2): 576-587.

[34] DROS J M. Managing the soy boom: two scenarios of soy production expansion in South America. Technical Report(AIDEnvironment, Amsterdam) , 2004.

[35] STICKLER C M, NEPSTAD D C, AZEVEDO A A, MCGRATH D G. Defending public interests in private lands: compliance, costs and potential environmental consequences of the Brazilian Forest Code in Mato Grosso. Philosophical Transactions B, 2012, 368: 160.

[36] PACHECO P. Soybean and oil palm expansion in South America: a review of main trends and implications. Cifor Working Paper, 2012.

[37] LEGUIZAMÓN A. Modifying Argentina: GM soy and socio— environmental change. Geoforum, 2014, 53: 149-160.

[38] TAPIAARMIJOS M F, HOMEIER J, ESPINOSA C I, LEUSCHNER C, DE L C M. Correction: Deforestation and forest fragmentation in South Ecuador since the 1970s — Losing a Hotspot of Biodiversity. Plos One, 2015, 10(9): e0133701.

[39] QUEZADA C A V, FONSECA M B, ROMERO H. The circular agriculture applied in neighboring countries: the case of biogas on the border between Ecuador and Perú. New Biotechnology, 2016, 33: 66-67.

[40] GALEANO L A. Paraguay and the expansion of Brazilian and Argentinian agribusiness frontiers. Canadian Journal of Development Studies, 2012, 33(4):458-470.

[41] URIOSTE M, TIERRA F, PAZ L. Concentration and “foreignisation” of land in Bolivia. Canadian Journal of Development Studies, 2012, 33(4): 439-457.

[42] LAURANCE W F, GOOSEM M, LAURANCE S G. Impacts of roads and linear clearings on tropical forests. Trends in Ecology and Evolution, 2009, 24(12): 659.