A method of characterizing land-cover swap changes in the arid zone of China

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• 作者：Yecheng Yuan ; Baolin Li ; Xizhang Gao ; Haijiang Liu ; Lili Xu…
• 关键词：land cover swap ; swap ; change status ; flagged swap ; change categories ; swap ; change process ; arid/semiarid zone
• 刊名：Frontiers of Earth Science
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：10
• 期：1
• 页码：74-86
• 全文大小：1,164 KB
• 参考文献：Braimoh A K (2006). Random and systematic land-cover transitions in northern Ghana. Agric Ecosyst Environ, 113(1–4): 254–263CrossRef
  Condit R, Hubbell S P, Lafrankie J V, Sukumar R, Manokaran N, Foster R B, Ashton P S (1996). Species-area and species-individual relationships for tropical trees: a comparison of three 50-ha plots. J Ecol, 84(4): 549–562CrossRef
  Gray J S (2000). The measurement of marine species diversity, with an application to the benthic fauna of the Norwegian continental shelf. Journal of Experimental Marine Biology and Ecology, 250: 23–49CrossRef
  Huang J L, Pontius R G Jr, Li Q S, Zhang Y J (2012). Use of intensity analysis to link patterns with processes of land change from 1986 to 2007 in a coastal watershed of southeast China. Appl Geogr, 34: 371–384CrossRef
  Kassas M (1995). Desertification: a general review. J Arid Environ, 30(2): 115–128CrossRef
  Kempton R A (1979). The structure of species abundance and measurement of diversity. Biometrics, 35(1): 307–321CrossRef
  Li B L, Zhou Q M (2009). Accuracy assessment on multi-temporal landcover change detection using a trajectory error matrix. Int J Remote Sens, 30(5): 1283–1296CrossRef
  Li F R, Zhang H, Zhang T H, Shirato Y (2003). Variations of sand transportation rates in sandy grasslands along a desertification gradient in northern China. Catena, 53(3): 255–272CrossRef
  Li S G, Harazono Y, Zhao H L, He Z Y, Chang X L, Zhao X Y, Zhang T H, Oikawa T (2002). Micrometeorological changes following establishment of artificially established artemisia vegetation on desertified sandy land in the Horqin sandy land, China and their implication on regional environmental change. J Arid Environ, 52(1): 101–119CrossRef
  Liu J Y, Liu M L, Tian H Q, Zhuang D F, Zhang Z X, Zhang W, Tang X M, Deng X Z (2005). Spatial and temporal patterns of China’s cropland during 1990–2000: an analysis based on Landsat TM data. Remote Sens Environ, 98(4): 442–456CrossRef
  Lu D, Mausel P, Brondizio E, Moran E (2004). Change detection techniques. Int J Remote Sens, 25(12): 2365–2401CrossRef
  Macleod R D, Congalton R G (1998). A quantitative comparison of change-detection algorithms for monitoring eelgrass from remotely sensed data. Photogramm Eng Remote Sensing, 64(3): 207–216
  Manandhar R, Odeh I O A, Pontius R G Jr (2010). Analysis of twenty years of categorical land transitions in the Lower Hunter of New South Wales, Australia. Agric Ecosyst Environ, 135(4): 336–346CrossRef
  Nagendra H, Munroe D K, Southworth J (2004). From pattern to process: landscape fragmentation and the analysis of land use/land cover change. Agric Ecosyst Environ, 101(2–3): 111–115CrossRef
  Narumalani S, Mishra D R, Rothwell R G (2004). Change detection and landscape metrics for inferring anthropogenic processes in the greater EFMO area. Remote Sens Environ, 91(3–4): 478–489CrossRef
  Pérez-Hugalde C, Romero-Calcerrada R, Delgado-Pérez P, Novillo C J (2011). Understanding land cover change in a Special Protection Area in Central Spain through the enhanced land cover transition matrix and a related new approach. J Environ Manage, 92(4): 1128–1137CrossRef
  Pielou E (1966). The measurement of diversity in different types of biological collections. J Theor Biol, 13: 131–144CrossRef
  Pontius R G Jr, Shusas E, McEachern M (2004). Detecting important categorical land changes while accounting for persistence. Agric Ecosyst Environ, 101(2–3): 251–268CrossRef
  Poulter B, Pederson N, Liu H Y, Zhu Z C, D’Arrigo R, Ciais P, Davi N, Frank D, Leland C, Myneni R, Piao S L, Wang T (2013). Recent trends in Inner Asian forest dynamics to temperature and precipitation indicate high sensitivity to climate change. Agric Meteorol, 178-179: 31–45CrossRef
  Robbins P, Birkenholtz T (2003). Turfgrass revolution: measuring the expansion of the American lawn. Land Use Policy, 20(2): 181–194CrossRef
  Teferi E, Bewket W, Uhlenbrook S, Wenninger J (2013). Understanding recent land use and land cover dynamics in the source region of the Upper Blue Nile, Ethiopia: spatially explicit statistical modeling of systematic transitions. Agric Ecosyst Environ, 165: 98–117CrossRef
  Wang Y, Ding Y J, Ye B S, Liu F J, Wang J, Wang J (2013). Contributions of climate and human activities to changes in runoff of the Yellow and Yangtze rivers from 1950 to 2008. Science China-Earth Sciences, 56(8): 1398–1412CrossRef
  Zhang T H, Zhao H L, Li S G, Li F R, Shirato Y, Ohkuro T, Taniyama I (2004). A comparison of different measures for stabilizing moving sand dunes in the Horqin Sandy Land of Inner Mongolia, China. J Arid Environ, 58(2): 203–214CrossRef
  Zhou Q, Li B, Kurban A (2008). Trajectory analysis of land cover change in arid environment of China. Int J Remote Sens, 29(4): 1093–1107CrossRef
  Zhou Q M, Li B L, Chen Y M (2011). Remote sensing change detection and process analysis of long-term land use change and human impacts. Ambio, 40(7): 807–818CrossRef
  
• 作者单位：Yecheng Yuan (1)
  Baolin Li (1) (2)
  Xizhang Gao (1)
  Haijiang Liu (2)
  Lili Xu (1) (3)
  Chenghu Zhou (1)
  
  1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
  2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, 210023, China
  3. China National Environment Monitoring Center, Beijing, 100012, China
  
• 刊物主题：Earth Sciences, general;
• 出版者：Springer Berlin Heidelberg
• ISSN：2095-0209

文摘

Net area change analysis can dramatically underestimate total change of land cover, even sometimes seriously misinterpret ecological processes of the ecosystem, especially in arid or semiarid zones. In this paper, a suite of indices are presented to characterize land-cover swaps that may seriously damage the ecosystem in arid or semiarid zones, based on swap-change areas extracted from remotely sensed images. First, swap percentage of total area and swap intensity of total changes were used to determine the status of land-cover swap change in an area. Then, dominated swap category and individual swap-change intensity for a land-cover category were used to determine flagged land-cover swap-change categories. Finally, swap-change mode and Pielou’s index were used to determine the land-cover swap-change processes of dominant categories. A case study is conducted using this approach, based on two land-cover maps in the 1980s and 2000 in Naiman Qi, Tongliao City, Inner Mongolia, China. This study shows that the approach can clearly quantify the severity and flagged classes of land-cover swap-change and reveal their relationship with ecological processes of the ecosystem. These results indicate that the approach can give deep insights into swap change, which can be very valuable to land-cover policy making and management. Keywords land cover swap swap-change status flagged swap-change categories swap-change process arid/semiarid zone