78 Science in China Ser. D Earth Sciences 2004 Vol.47 Supp.ĉ 78ü88 Study of spatial distribution of sandy desertification in North China in recent 10 years WANG Tao1, WU Wei2, XUE Xian1, SUN Qingwei1 & CHEN Guangting1 1. Key Laboratory of Desert and Desertification, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China; 2. Department of Environment Engineering, Peking University, Beijing 100871, China Correspondence should be addressed to Wang Tao (email: [email protected]) Received November 10, 2003; revised December 16, 2003 Abstract Sandy desertification is a land degradation characterized by wind erosion, mainly resulted from the excessive human activities in arid, semiarid and part of sub-humid regions in North China. It is one of main kinds of desertification/land degradation as well as water-soil erosion and salinization in China. Rapid and continuous spread of sandy desertification during last 50 years has created a major environmental and socio-economic problem in North China. Remote sensing monitored results in 2000 showed that the sandy desertified land area has been 38.57h104 km2. The area of potential to slightly sandy desertified land is 13.93h104 km2, moderately land 9.977h104 km2, severely land 7.909h104 km2 and very severely land 6.756h104 km2. Sandy desertification mainly occurs in the semi-arid mixed farming-grazing zone and its northern rangeland zone, semi-arid dryland rainfed cropping zone and arid oasis-desert margin zone. The average annually developmental rate of sandy desertified land increased from 2,100 km2ga−1 in 1976ü1988 to 3,600 km2ga−1 in 1988ü2000. The basic status of sandy desertification in North China is “overall deterioration, while local rehabilitation”. Already achieved rehabilitation results and monitoring assessment show that about 60% of desertified land in North China can be restored under the conditions of rational land-use ways and intensity. Keywords: sandy desertified land, spatial distribution, remote sensing monitoring, last 10 years, North China. DOI: 10.1360/04zd0009 Desertification is a very serious environment and socio-economic problem facing the world today. According to the “United Nations Convention to Combat Desertification” and China’s actual situation[1,2], desertification can be classified into several major types, namely sandy desertification, soil erosion and salinization etc. One of the main manifestations of desertification in North China is sandy desertification. Since the 1950s scientists in China have conducted a series of researches on natural conditions, resources, desert environment, sandy desertification and control in Copyright by Science in China Press 2004 farmlands and grasslands, and rational use of water and land resources in desert and sandy desertified regions. All these research and technique popularized works lay a solid basis for launching large-scale stuü dies of sandy desertification in North China[3 7]. In sandy desertification studies, one of the most important and rapidly developed themes is the dynamical monitoring of temporal and spatial changes of sandy desertification. The use of advanced means, such as remote sensing, GIS, GPS and computer Study of spatial distribution of sandy desertification in North China in recent 10 years simulation etc., basically realizes the combination of theory and practice, qualitative and quantitative studies, and status and prediction, which are fully reflected in the research achievements such as “Handbook on desertification indicators”[8], “Provisional Methodology of Assessment and Mapping of Desertification (FAO)”[9], “World Atlas of Desertification”[10] and “Handbook for the Field Assessment of Land Degradation”[11]. Tucker et al.[12] used NOAA/ AVHRR data to infer the advance and retreat of Sahara Desert basing on the precipitation calculated by NDVI (normalized difference vegetation index). Hanna[13] assessed desertification around deep wells in Sahel region using NOAN/AVEIRR data. Hutchinson et al.[14] tried to make famine early warning analysis in Sahel region using NOAA/AVHRR and meteorological observation data in combination with market food prices and field investigation data. Establishing the relation between NDVI and crop yield, Malo et al.[15] suggested that in the semi-arid Sahel region in West Africa with an annual precipitation ranging from 150 ü1000 mm there was an obvious linear relation between NDVI and precipitation. From the investigation in Botswana region during 1982ü1987 Nicholson[16] found that the precipitation at most of observation stations can be described by NDVI. Palmer et al.[17] made dynamical monitoring on land-use, vegetation changes and desertification processes in Kalahari region in south Africa during 1989ü1994 using TM data. In Argentina the assessment of land desertification was also completed by remote sensing technique and image processing system. At first a main image series corresponding to the phenological phase of grassland ecosystem was established as a reference different times of image data using NOAA/AVHRR/LAC (large area coverage), and then based on field investigation and high-resolution images the desertification state types were defined through direct supervision and non-supervision classification. This method presents a new evaluation conception and also represents a new tendency in this respect at present[18]. Many researü chers in China have also done much work[19 23] in the dynamical monitoring of land desertification, indicator system, assessing and monitoring methods, and achieved encouraged results[24 79 ü28] . According to the researches and practices in land degradation regions in North China over the past 30 years, we defined the sandy desertification is a land degradation characterized by wind erosion mainly resulted from the excessive human activities in arid, semiarid and part of sub-humid regions in North China. It mainly occurred in human historic period, especially during last century. In this respect, the human impact and the interaction between the human and nature factors must be stressed, i.e. only the land degradation resulted from the adverse effects of human activities and the interaction of wind-dominated external agents is called sandy desertification. Through remote sensing monitoring, field investigation and statistical analysis, Zhu et al.[5] found that from 1950s to 1970s sandy desertification in North China developed at an average annual rate of 1560 km2ga−1. Following next 10 years the sandy desertified land developed at an annual rate[29] of 2100 km2ga−1, and by the late 1980s the area of sandy desertified land has been 33.3h104 km2. In order to further find out the sandy desertification status and developmental trend in North China from 1987 to 2000, basing on the 1987 monitoring results we conducted field investigation and dynamical monitoring of sandy desertification in North China in 2000, and compared monitoring results of 1987 to analyze the spatial changes and developmental trend of land desertification in recent 10 years. 1 Monitoring method of spatial changes of sandy desertification The monitoring regions selected in 1987 were the mixed farming-grazing zone and dry-land rainfed cropping zone in its southern and pasture land in its northern, extending from Hulun Buir Grassland in the Northeast to Hedong desert zone of Ningxia in the southwest and also including several representative zones in Alaxa Plateau, Qaidam Basin and Tarim Basin to the West of Helan Mountain[29]. The monitoring regions selected in 2000 were determined according to previous field investigations, and they rapidly developed desertification zones in different periods, in- 80 Science in China Ser. D Earth Sciences cluding 177 countries (cities) of 10 Provinces (Regions) in regions suffered from the sandy desertification of North China, with a total area of 256h104 km2. The monitoring regions mainly contain the mixed farming-grazing zone, dry-land rainfed cropping zone, irrigated agricultural oases and grazing zones. In natural zone they contain sub-humid grassland, semiarid steppe, desert steppe and high-cold meadow. According to the monitoring indicator system in 2000 the sandy desertified land was divided into four degrees such as potential to slightly sandy desertified land, moderate land, severe land and very severely land. Such a classification is basically consistent with the desertification types of monitoring indicator system classified in 1987, which includes potential sandy desertification, on-going sandy desertification, strongly developing sandy desertification and serious sandy desertification. On the whole, the present monitoring results not only represent the real situation but also can be compared with two previous monitoring results. For the remote sensing monitoring of sandy desertification the first thing to be done is to establish the classification indicator system of sandy desertification. Our studies[30,31] showed that useful indicators for the desertification processes and environmental conditions can be divided into three indicators: (1) natural indicators, including the dynamic data of wind-eroded land, sandy land or sandy dune spread, seasonal and annual change of precipitation, wind direction, wind velocity, effective soil thickness, organic matter content, groundwater depth and quality, and surface albedo etc.; (2) biological and agricultural indicators, and including vegetation cover, biological production, key plant species distribution, land-use regime (e.g. farming, grazing, fuel collection, and industrial water resource use etc.), crop yield, livestock composition and number, and various economic input; (3) social Degree Slight (L) Moderate (M) indicators, including inhabitant, population, structure, variation processes and developmental trend, health indexes, mandatory policy or stage-specific policy etc. According to the processes of sandy desertification in North China, human activity characteristics and existing monitoring results, we summed up the following directly usable indicators, which can be obtained and analyzed by remote sensing and computer means: (1) wind-eroded land area or moving sand area percentage in a region’s total land area; (2) annual expanded area percentage of wind-eroded land or moving sand in a region’s total land area; (3) vegetation cover mainly referring to grassland and forest land; (4) biological production. Then we can give out a general classification of sandy desertification degrees and their indicators (table 1). In fact, under different land-use conditions in different regions sandy desertification often appears as different types. We summarized the unified sandy desertification classification used in different periods of remote sensing monitoring (table 2). In the remote sensing monitoring, we often use wind-eroded land area or moving sand area percentage and vegetation cover as the most important indicators, others indicators are used as auxiliary types. On the one hand, wind-eroded land or moving sand area and vegetation cover are an integrated embodiment of surface features, community structure, biological production, effective soil thickness, structure, organic and moisture changes. On the other hand, they are clear, easily judged and representative indicators in the sandy desertification monitoring in North China. Sandy desertified land area of 2000 in North China was obtained by using the GIS such as ARCVIEW and ARC/INFO through the man-computer interpretation of 2000 TM remote sensing data. The Table 1 Classification and indicators of sandy desertification degrees Percentage of blown sand Percentage of annual Percentage of vegetation area in total/% expansion area/% covera)/% ˘5 ˘1 ˚60 Percentage of annual reduction in biomass/% ˘1.5 5ü25 1ü2 60ü30 1.5ü3.5 25ü50 2ü5 30ü10 3.5ü7.5 Severe (S) Very severe (VS) ˚50 ˚5 10ü0 ˚7.5 a) Vegetation cover is calculated by projection method, and the vegetation cover of local primary landscape is regarded as 100%. Study of spatial distribution of sandy desertification in North China in recent 10 years 81 Table 2 Sandy desertification types and classification in North China Sandy desertification type Main distribution region Primary state 1 Potential to slightly desertified land Desertification degree 2 Moderately desertified land 3 Severely desertified land 4 Very severely desertified land A B C D E Sandy dune mobilization or moving sand encroachment Shrub desertification Gravel desertification Wind erosion badland Dry-farming cropland desertification Sandy land in East China desert of West China, or river banks in desert Desert in West China, sandy land in East China, middle part of Inner Mongolia Gobi edge, middle and west part of Inner Mongolia Lop Nur in Xinjiang, edge of Yardan zone at east side of Alun Mts; South Inner Mongolian Plateau (Bashang in Hebei) Reclamation districts in East China, grassland, north part of Loess Plateau Fixed dunes, oasis grassland and farmland Steppe or desert steppe, steppified desert Desert steppe or steppified desert Steppe or desert steppe, steppified desert Dry-farming cropland 1(a) 1(b) 1(c) 1(d) 1(e) Blowouts occurs on windward slopes of dunes; area of moving sand spots is 5% ü25%; primary vegetation cover˚ 90%. Shrubs grow well; shrub sand mound and sand spits of various shapes occur. Gravels are enriched on ground surface. Shallow winderoded pits occur but no obvious steep bench is formed. Sand is accumulated in furrows in spring, ridges exhibit obvious wind erosion evidence. 2(a) 2(b) 2(c) 2(d) 2(e) Sand dunes exhibit obvious wind-eroded slope and slip face differentiation, area of moving sand is 25% ü50%, vegetation cover is 50%ü90% of primary state. Leaved shrubs cannot entirely cover sand mounds; moving sand occurs on the windward side of sand mounds; loose sand or gravels occur in inter-ridge flats. Coarse sand and gravels cover ground surface; there are sparse plants, grass cover >25%; surface exhibits a gravel pastureland landscape. Blowouts are mostly exposed; small steep benches occur on ground surface. Small patches of moving sand occur in loessial farmlands; wind-eroded cropland has very low fertility; 50% of humus layer is blown away. 3(a) 3(b) 3(c) 3(d) 3(e) Sandy land is in a semi-fixed state; area of moving sand exceeds 50%; vegetation cover is smaller than 50% of primary state. Large area of shrubs begins to die; vegetation cover ˘ 25%, area of moving sand exceeds 50%. Ground surface is almost entirely covered by gravels; sands exist between gravels; vegetation cover is 10%ü 25%. Residual wind-eroded benches occur on ground surface; grasses are scattered between low-class deflation residual hills; gravelly farmlands are abandoned. Humus layer in wind-eroded farmland is almost entirely blown away; calcium horizon and soil parent material are exposed; moving sand area of desertified croplands˚25%; desertified croplands are mostly abandoned. 4(a) 4(b) 4(c) 4(d) 4(e) Mobile dune field; vegetation cover˘ 10% Undulated moving sand land; vegetation cover˘10% Ground surface is entirely covered by gravels; vegetation cover˘10% Wind-eroded badlands become the main body of ground surface. Flat sand land or gravel land vegetation cover˘10% 82 technical route for remote sensing monitoring of sandy desertification is shown in fig. 1. Fig. 1. Technical route block diagram for remote sensing monitoring of sandy desertification in 2000. In the remote sensing monitoring using abovementioned technical route we paid special attention to the following several problems: (i) Selection of optimal information source. In 2000 remote sensing monitoring TM data were used, images could directly display on the computer screen. Seasonal selection of images can greatly affect the monitoring effect of sandy desertification. It may enhance or reduce sandy desertification degree classified by vegetation cover in the interpretation process. Therefore, selecting optimal time interval is a key to the successful monitoring. The basic principle for the selection of high-quality images is that they should contain large amount of information, i.e. intertype variance is large and key ground objects to be monitored should have evident color hue. In winter and spring vegetation is in a poor condition, precipitation is sparse, and colour hue of ground objects is monotonous. In summer, vegetation on sand land is flourish, and vegetation cover can be used to classify sandy desertification degree, but dense crops are easily confused with forest. Therefore, autumn is the best season to obtain optimal TM images for the sandy desertification monitoring. The present monitoring almost covered the whole North China. Due to the limitation of objective conditions, not all images in all regions are obtained in optimal season. Some images in local places actually reflect the surface regimes in other seasons, which no doubt affects the interpreta- Science in China Ser. D Earth Sciences tion accuracy to a certain degree. (ii) Influence of image processing technique on monitoring effect. In the monitoring standard false color composite TM images (TM band 4, 3 and 2 with three colors, i.e. red, green, and blue respectively), such band assemblage can best reflect vegetation growth situation. TM band 4 can reflect vegetation features in different degrees of sandy desertified land. TM band 3 can reflect brightness of sandy soils and whiteness of salinized soils. TM band 2 is sensitive to vegetation reflectance and can distinguish forest types and tree species. Therefore, this kind of assembly images of this band can prominently display vegetation features, but they have weak response to sand dune information. Therefore, image processing technique and band assemblage can affect the monitoring effect to a great degree. (iii) Characteristics of sandy desertification images. We established main TM image characteristic system of different sandy desertification types in different study zones. Interpreters and analysers must be familiar with interpretation contents, image characteristics and interpretation marks of sandy desertification of various types in the man-machine dialogue and visual interpretation processes. 2 Remote sensing monitoring results of sandy desertification in 2000 The monitoring results of sandy desertification in 2000 are presented in table 3. It can be seen from table 3 that in 2000 potential to slightly sandy desertified land in North China occupied the largest percentage, about 13.93h104 km2 in area, accounting for 36.1% of total sandy desertified land area and 5% of total monitoring land area. Moderately sandy desertified land was about 9.977h104 km2 in area, accounting for 25.9% of total sandy desertified land area and 4% of total monitoring land area; severely sandy desertified land 7.909h104 km2 in area, accounting for 20.5% and 3.0% respectively; very severely sandy desertified land 6.756h104 km2 in area, accounting for 17.5% and 3.1% respectively. Potential to slight and moderate degrees of sandy de- Study of spatial distribution of sandy desertification in North China in recent 10 years Region Monitoring area/km2 83 Table 3 Sandy desertification area in North China in 2000 The area of The area of The area of The area of very moderately potential to severely deserti- severely desertidesertified slightly desertified land/km2 fied land/km2 land/km2 fied land/km2 17890.00 852.00 1990.00 161.00 Total area of desertified land/km2 Hulun Bair sandy land 83615.0 Songnen sandy land 51588.0 1909.76 1386.25 460.43 8.94 3765.00 7.3 Horqin sandy land Xilin Gol Meng in Inner Mongolia Ulaqab Meng in Inner Mongolia Bashang region 10563.8 30669.32 9008.79 5815.42 4673.99 50167.52 47.5 181309.8 20999.21 11300.09 7274.83 5595.37 45169.49 24.9 60967.9 9079.36 3782.65 278.44 41.57 13182.02 21.6 Hobq sandy land Mu Us sandy land 20893.00 Percentage in monitoring area/% 25.0 46013.0 7824.30 3680.73 1302.42 243.87 13051.33 28.4 87158.5 5214.02 13025.43 5705.72 2338.44 26283.59 30.2 97352.0 20509.82 14333.78 7949.56 10679.33 53472.49 54.9 Shiyang River Basin 120172.0 2243.32 3692.43 16704.70 10005.36 32645.81 27.2 Heihe River Basin 202946.0 352.72 1568.20 2852.47 10090.82 14864.2 7.3 Kumtag region 172731.0 2594.94 4341.53 1823.95 325.14 9085.56 5.3 89996.0 7728.00 2586.00 1314.00 1377.00 13005.00 14.5 Qaidam region 446562.7 3008.38 11170.07 2835.49 2606.50 1962.44 4.4 North Xinjiang 272552.0 5715.39 13609.29 12948.15 9046.60 41319.43 15.2 Middle Xinjiang 158843.0 2238.78 2502.04 4397.90 6552.30 15691.02 9.9 Three-river Source area South Xinjiang Total monitoring area 386651.0 1290.28 2929.70 5437.88 3813.08 13470.94 3 2564062.0 139267.60 90768.98 78608.85 79091.35 385686.80 15.0 sertified land occupied over 60% of total sandy desertified land area, which showed that in the arid and semi-arid zones with fragile eco-environment in North China a large area has entered the developed stage of sandy desertification and is facing the danger of severity sandy desertification. As primary grassland vegetation occurs degradation, or some initial sandy desertification symptoms such as bare spots, irrational human activities will aggravate the process and thereby lead to the occurrence of moving sand or the formation of sand dunes. When desertification reaches the severe stage, it is very difficult to restore and control. Compared to the monitoring results in 1987, sandy desertification in some regions has reversed through more than 10 years of rehabilitation, sandy desertified land area has decreased and its severity also reduced. But from an overall point of view, sandy desertification development is faster than its reverse. Especially over the past 10 years sandy desertification development significantly sped up. In 2000 the total area of sandy desertification increased 46740 km2 and reached at least 38.57h104 km2, or the area of average annual increasement was 3595 km2 (fig. 2). 3 Evolutionary feature and trend of sandy desertification in recent 10 years Basing on our previous studies we can conclude that the developmental features of sandy desertification in North China over the past 50 years are the expansion in area of sandy desertification and the quickening in developmental rate. As the development rate of sandy desertification is concerned, from the late 1950s to 1975 its annual development rate in area was 1560 km2ga−1, from 1975 to 1987 was 2100 km2ga−1, and from 1988 to 2000 about 3600 km2ga−1. The distribution area of desertified land in some representative regions in North China during 1987ü2000 is presented in table 4. According to the analytical results of table 4, the general evolutionary trends of sandy desertification in North China from 1987 to 2000 are as follows: (i) In the key monitoring regions sandy desertification shows a continuous developmental trend, for example in the reclamation district of Bashang Grassland in Hebei Province, reclamation district in Qahar Grassland and grazing zone, southwest Ordos Grass- Fig. 2. Sketch map of sandy desertification in North China. 84 Science in China Ser. D Earth Sciences Study of spatial distribution of sandy desertification in North China in recent 10 years 85 Table 4 Developmental status of sandy desertifiction in representative regions in North China in recent 10 years 1987 Region East part of reclamation district in Bashang West part of reclamation district in Bashang Reclamation district and grazing area in Qahar grassland Horqin region (Jirem Meng and Uloanqab Meng) Houshan grassland grazing area and reclamation in Ulanqab Meng Ordos grassland in Ih Ju Meng Shenmu, Hengshan, Jingbian, and Dingbian Southwest part (Yanchi) of Ordos grassland Lower reach of Heihe River in west Alxa Desert Piedmont Plain of Kunlun Mt. in Qaidam Basin Margin of Gurbantunggut Desert Margin of Taklimakan Desert 2000 Monitoring area/km2 Sandy desertification area/km2 Percentage of monitoring area/% Monitoring area/km2 3471 1336.6 38.5 17715 2213.6 12.5 3272 23.6 13803 4756.8 34.5 5992.9 66.1 28957.7 14148.2 48.9 50198 47.5 13833 9056 Desertification Percentage of area/km2 monitoring area/% 61008 57.8 105604 46660 18121.2 38.8 60968 13182.1 21.6 49112.4 45973 93.6 64453 45751.4 80.1 8221.7 34.9 105573 18046.4 8166.9 45.3 23547 6761.2 1845.5 27.3 6744 3495 51.8 16200 5955 36.8 82596.3 11435 13.8 7920 5573 70.4 74360.4 8694 11.7 / 272552 41319.4 15.2 / 386651 13471 land, downstream area of the Heihe River in Alxa Desert and Piedmont Plain Kunlun Mountain in Qaidam Basin. 3.5 (iii) In some representative regions sandy desertification was severely developed before 1987, but it has been controlled through the rehabilitation during 1988 ü2000, for example, Horqin region (in Jirem Meng of Inner Mongolia) and Mu Us Sandy Land. On the whole, it appears as two situations, i.e. overall reverse and local reverse. Horqin sandy land. According to previous and present study results, the spatial distribution changes of sandy desertification in Horqin sandy land over the past 50 years are presented in table 5. It can be seen that area of sandy desertification increased from 42300 km2 in 1959 to 51384 km2 in 1975, 61008 km2 in 1987 and 50198 km2 in 2000. That is to say, it decreased by 10810 km2 or 17.7% in area in recent ten years compared to that of the previous stages. Very severe and slightly sandy desertified land area increased 393 km2 and 1749 km2 respectively, while severe and moderate sandy desertified land area showed a decreasing tendency, decreased 488 km2 and 12463 km2 respectively. It should be pointed out that the decrease in sandy desertified land area occurred in all Horqin sandy land rather than concentrated in several countries (Qis). 1) Overall reverse. The case of overall reverse is The overall reverse of sandy desertification in (ii) In some representative regions sandy desertification exhibited a slow spread trend before 1987, but in recent ten years it kept a stable state, for example, Ordos Grassland in Ih Ju Meng of Inner Mongolia and Shenmu-Hengshan-Jinbian-Dingbian region. Table 5 Dynamical changes of sandy desertified land in Horqin sandy land Area of very severe desertification/km2 Area of severe desertification/km2 Area of moderate desertification/km2 Area of slight desertification/km2 Total area/km2 1975 2829 7885 22495 18175 51384 +21.47 1987 5162 5422 28950 28950 61008 +18.72 2000 4674 5815 30699 30699 50198 −17.72 Year 1959 Compared to previous stage/% 42300 86 Science in China Ser. D Earth Sciences Horqin sandy land attributed to such a factor that local government, farmers and herdsmen were increasing aware of the seriousness of sandy desertification and therefore putted into large amount of man power, material and financial resources to rationally readjust land-use structure and intensity, cutted down extensively managed cultivated land area, increased intensively managed fertile land area, returned croplands to forest and grassland, closed large area of pastureland to livestock grazing and arrest overgrazing. The use of all these effective measures not only slowed down the spread rate of sandy desertification but also improved large area of sandy desertified land. 2) Local reverse. The case of local reverse is Mu Us sandy land. Table 6 represents the general trend of the dynamical changes of sandy desertification in Mu Us sandy land in past 30 years. Sandy desertification in Yulin, Hengshan, Jingbian and Shenmu significantly reversed in the past 30 years. Especially in Yulin the reversing rate of sandy desertification greatly increased after the middle 1980s, the mean annually reversing rate increased from 48.17 km2ga−1 during the mid-1970s and mid-1980s to 59.21 km2ga−1 during last decade. Although the monitoring region in Hengshan, Jingbian and Shenmu included loess hills which led to a significant reduction in desertification percentage compared to previous two stages, the monitoring results of the three stages have higher comparability, because sandy desertified land mainly occurred in the non-loess hill zones. Sandy desertified land in Hengshan country decreased from 1596.5 km2 in area in 1970s to 1292.4 km2 in 1980s and further decreased to 782.5 km2 in 2000, the annually reversing rate in first ten years was 30.41 km2ga−1 and in the later 15 years was 39.99 km2ga−1. Unlike Hengshan, sandy desertification annually reversing rate in Jingbian was slow, as during the first ten years it was 10.2 km2ga−1 and in the later 15 years was 39.23 km2ga−1, and in Shenmu 42.71 km2ga−1 and 10.05 km2ga−1 respectively. In one word, except the Shenmu Country that had a slower reversing rate of sandy desertification after the mid-1980s, the reversing rate of sandy desertification in other three countries exhibited an accelerating tendency. Unlike the situation in the four countries mentioned above, sandy desertification in other countries of Mu Us sandy land exhibited such an evolutionary tendency: from the mid-1970s to the mid-1980s sandy desertification experienced a reverse process but from the mid-1980s to 2000 it went through a development process, and the annually increasing rate in Dingbian country was 37.68 km2, in Yanchi country 109.93 km2 and in Uxin Qi 81.2 km2. The overall reverse of sandy desertification in Horqin sandy land and local reverse of sandy desertification in Mu Us sandy land are attributed to local government and people’s hard work to combat desertification. They increased desertification control input, readjusted land-use structure and intensity, cut down Table 6 Dynamical changes of sandy desertification in Mu Us sandy land Region Yulin mid-1970s mid-1980s Percentage in Monitoring Sandy deserti2 2 monitoring area/km fied area/km area/% 6551 5729.8 87.5 Percentage in Monitoring Sandy desertimonitoring 2 2 fied area/km area/km area/% 6551 5248.1 80.1 2000 Monitoring area/km2 Sandy desertified area/km2 6891 4360 782.5 Percentage in monitoring area/% 63.3 Hengshan 2584 1596.5 61.8 2584 1292.4 50.0 4219 Dingbian 4493 2093.5 46.6 4493 1729.8 38.5 6847 2295 33.5 18.6 Jingbian 3485 1917.5 55.0 3485 1815.5 52.1 4972 1227 24.7 Shenmu 4463 3772.9 84.5 4463 3345.8 75.0 7509 3195 42.5 Yanchi 6761 1369 20.2 6761 1846 27.3 6744 3495 51.8 Uxin Qi 11645 10164 87.3 11645 9561 82.1 11627 10779 92.7 Otog Qi 5251 4721 89.9 5251 4165 79.3 20245 13103 64.7 Otog Qianqi 7713 6321 82.0 7713 6306 81.8 12321 11426 92.7 Study of spatial distribution of sandy desertification in North China in recent 10 years cultivated land area, practiced intensive management, planted trees and grasses, closed large area of pastureland and arrested overgrazing. As a result, considerably large area of sandy desertified land was rehabilitated and restored production potential to a certain degree. However, the rehabilitated effect was also affected by natural conditions. Horqin sandy land is located in the eastern part of semi-arid zone of China, mean annual precipitation increases from 340 mm in the north to 450 mm in the south, mean annual temperature varies between 6.0ü8.5ć. Relatively speaking, the water and heat conditions in Horqin sandy land area are better than those of Mu Us sandy land and therefore favorable to the reversing of sandy desertification processes. This is one of the reasons that the Horqin sandy land achieved a better sandy desertification control effect. By the year 2000, the area of potential to slight and moderate degrees of sandy desertified land in North China has been over 60% of China’s total sandy desertified land, the area of severe and very severe sandy desertified land less than 40%. To a certain degree this is a favorable factor, because potential to slightly and moderately desertified lands have slight degradation degree and are easy to rehabilitate as long as human irrational activities are arrested and effective control measures are adopted. Field investigation and remote sensing monitoring in Horqin sandy land and Mu Us sandy land in 2000 demonstrated that local government and people putted into large amount of man power, material and financial resources to combat potential to slightly and moderately desertified lands and achieved encouraged results. If such experiences and methods are widely popularized, about 60% sandy desertified land in North China can be controlled in a short period. 4 Conclusions Sandy desertification is land degradation characterized by wind erosion mainly resulted from the excessive human activities in arid, semiarid and part of sub-humid regions in North China. In this study a classification system of sandy desertification was perfected and used in the monitoring of sandy desertifica- 87 tion in North China. Remote sensing monitoring results showed that in 2000 sandy desertification in North China on the whole still exhibited a developmental trend, its area reached 38.57h104 km2. The area of potential to slightly sandy desertified land was 13.93h104 km2, accounting for 36% of total sandy desertified land area; moderate sandy desertified land 9.977h104 km2, accounting for 25.9%; severe sandy desertified land 7.909h104 km2, accounting for 20.5%; and very severe sandy desertified land 6.756h104 km2, accounting for 17.5%. Sandy desertification mainly occurred in the semi-arid mixed farming-grazing zone and its northern grassland livestock-raising zone, semi-arid dryland cropping zone and arid oasis-desert margin zone. All these zones are the priority regions to implement sandy desertification projects in recent years. Since the late 1950s sandy desertification in North China has been exhibiting a rapidly developed tendency, annual development rate of sandy desertification enhanced from 1560 km2ga−1 in the period from the 1950s to the mid-1970s to 2100 km2ga−1 in the period from the mid-1970s to the late 1980s and further to 3600 km2ga−1 in the period from the late 1980s to 2000. “Overall deterioration while local rehabilitation” is the basic status of sandy desertification in North China. Existing sandy desertification control achievements and monitoring assessment show that about 60% of sandy desertified land in North China can be controlled under the condition of rational land-use ways and intensity. Acknowledgements This work was supported by the “973” Programme of China (Grant No. TG2000048705). References 1. United Nations, United Nations Convention to Combat Desertification in Those Countries Experiencing Serious Drought and/or Desertification Particularly in Africa (in Chinese), Beijing: Forestry Press, 1995, 1ü5. 2. Research Group of “Study on Combating Desertification/Land Degradation in China”, Study on Combating Desertification/Land Desertification in China, Beijing: China Environmental Science Press, 1988, 60ü164. 3. Zhu, Z. D., Liu, S., Wu, Z. et al., Introduction to Deserts in China, Beijing: Science Press, 1980, 20ü29. 4. Zhu, Z. D., Liu, S., Desertification and Its Control in China, Beijing: Science Press, 1989, 1ü122. 88 5. Zhu, Z. D., Wang, T., Theory and practice in the study of desertification in China, Quaternary Research (in Chinese), 1992, 2: 97 ü106. 6. Wang, T., Zhao, H. L., Xiao, H. L., Advance in sandy desertification study in China, Journal of Desert Research (in Chinese), 1999, 19(4): 299ü311. 7. Wang, T., Zhu, Z. D., Several problems on sandy desertification in North China, Quaternary Research (in Chinese), 2001, 1: 56ü65. 8. Reining, P., Handbook on desertification indicators: Based on the science, Associations’ Nairobi Seminar on Desertification (ed. Priscilla, R.), Washington: American Association for the Advancement of Science, 1978, 141. 9. Food and Agriculture Organization and United Nations Environment Programme, Provisional Methodology of Assessment and Mapping of Desertification, Rome: FAO Press House, 1983, 84. 10. Middleton, N., Thomas, D., World Atlas of Desertification, London: Baltimore Edward Arnold, 1992, 84. 11. Michael, S., Niamb, M., Handbook for the Field Assessment of Land Degradation, Sterling: Earthscan Publications, 2001, 169. 12. Tucker, C. J., Dregne, H. W., Newcomb, W. W., Expansion and contraction of Sahara desert from 1980 to 1990, Science, 1990, 253: 299ü301. 13. Hanna, N. R., Assessment of desertification around deep wells in Sahel using satellite image, Journal of Applied Ecology, 1991, 28: 173ü186. 14. Hutchinson, C. F., Use of satellite data for famine early warning in sub-Saharan Africa, International Journal of Remote Sensing, 1991, 12(6): 1405ü1421. 15. Malo, A. R., Nicholson, S. E., A study of rainfall and vegetation dynamics in the Africa Sahel using normalized vegetation index, Journal of Arid Environment, 1990, 19: 134ü142. 16. Nicholson, S. E., The influence of soil type on the relationship between NDVI rainfall and soil moisture in semi-arid Botswanan, NDVI response to rainfall, Remote Sensing Environment, 1994, 50: 107ü120.[DOI] 17. Palmer, A. R., van Rooyen, A. F., Detecting vegetation change in the Southern Kalahari using Landsat TM data, Journal of Arid Environments, 1998, 39(2): 143ü154.[DOI] 18. Del Valle, H. F., Elissalde, N. O., Gagliardini, D. A. et al., Status of desertification in the Patagonian region: Assessment and mapping from satellite imagery, Arid Soil Rehabilitation, 1998(12): 75 ü122. Science in China Ser. D Earth Sciences 19. Ci, L. J., Wu, B., Classification of desertification climatic type and establishment of potential occurrence range in China, Journal of Desert Research (in Chinese), 1997, 17(2): 107ü111. 20. Gao, S. W., Wang, B. F., Indicator system for monitoring and assessment of sandy desertification in China, Forestry Science (in Chinese), 1998, 34(2): 1ü10. 21. Dong, Y. X., Approach to the indicator system for monitoring land desertification, Monitoring of Arid Environment (in Chinese), 1992, 6(4): 234ü237. 22. Li, F., Landscape ecological theoretic analysis in desertification monitoring, Arid Zone Research (in Chinese), 1997, 14(1): 69ü 73. 23. Wang, C. Y., Bu, H., Di, X. C., Role of remote sensing technique in the study of global environmental changes, Advance in Earth Science (in Chinese), 1988, 13(3): 278ü284. 24. Wang, X. L., Bao, Y. H., Approach to the study method of landuse dynamical changes, Advance in Geographical Science (in Chinese), 1999, 18(1): 81ü87. 25. Wang, X. Z., Study of classification code of spatial data of information system for monitoring and evaluation of desertification disasters, Journal of Desert Research (in Chinese), 1994, 14(1): 41 ü44. 26. Yan, C. Z., Feng, Y. X., Establishment of interpretation marks of TM images of land resource types in Northwest China, Journal of Desert Research (in Chinese), 1999, 19(3): 206ü209. 27. Ma, L. P., Han, G. Q., Application of TM images in the investigation of desertification in Hexi region, Journal of Desert Research (in Chinese), 1996, 16(4): 400ü406. 28. Dong, Y. X., Preliminary study of the judgment of desertification degrees and zoning in China, Journal of Desert Research (in Chinese), 1995, 15(2): 170ü174. 29. Zhu, Z. D., Wang, T., Analysis of desertification evolution trend over past 10 year through the investigation in several representative regions in China, Acta Geographic Sinica (in Chinese), 1990, 45(4): 430ü440. 30. Wang, T., Wu, W., Remote sensing monitoring and assessment of sandy desertification, Quaternary Research (in Chinese), 1998, 2: 108ü118. 31. Wang, T., Zhu, Z. D., Wu, W., Sandy desertification in the North China, Science in China, Series D, 2002, 45(Supp): 23 ü 24.[Abstract][PDF]
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