Dynamic characteristics and driving factors of grassland desertification in Hexi Corridor

doi:10.7522/j.issn.1000-694X.2022.00065

Journal of Desert Research ›› 2022, Vol. 42 ›› Issue (6): 134-141.DOI: 10.7522/j.issn.1000-694X.2022.00065

Dynamic characteristics and driving factors of grassland desertification in Hexi Corridor

Xiaoyun Cheng¹(), Qin Zhang¹, Fangfang Lan¹, Yuan Li¹, Yaxuan Han², Limin Zhang¹, Yanke Yang³, Xinyuan Wang¹()

^1.Gansu Monitoring Center for Ecological Resources / Gansu Institute of Forestry Survey and Planning，Lanzhou 730020，China
^2.Forestry Sci-tech Extension Station of Gansu Province，Lanzhou 730046，China
^3.Bailongjiang Forestry Ecological Monitoring and Investigation Planning Institute of Gansu Province，Lanzhou 730000，China

Received:2022-03-11 Revised:2022-04-12 Online:2022-11-20 Published:2023-01-09
Contact: Xinyuan Wang

Abstract

Abstract:

Grassland desertification is the main ecological problem in Hexi Corridor. Therefore， exploring the status and changes of grassland desertification in the Hexi Corridor is the key to maintain regional ecological security and ensure healthy and stable economic and social development. Based on the three national desertification monitoring data in 2009， 2014 and 2019， and combined with the meteorological and yearbook data of the same period， our study analyzed the rule of dynamic changes of grassland desertification in the Hexi Corridor by applying trend analysis， grey correlation and structural equation modeling， and on this basis， the factors driving grassland desertification were quantified. The results show that：（1） The threat of grassland desertification persists in the Hexi Corridor region. In 2019， the desertified grassland area was 3.7193 million hm²， accounting for 43.7% of the total grassland area in the Hexi Corridor， and the degree of desertification was mainly moderate， accounting for 65.58% of the total desertification grassland. （2） From 2009 to 2019， the area of desertified grassland decreased by 1.3468 million hm²， and the grassland desertification tended to be reversed. The comprehensive evaluation index of grassland desertification degree showed that， except for Jinchang City， the grassland desertification in Jiuquan City， Jiayuguan City， Zhangye City and Wuwei City showed reversing trend. （3） Among the driving factors that cause the dynamic changes of grassland desertification， the increase of precipitation is helpful for the reversal of desertification. Among them， temperature， crop sown area， number of large livestock， and permanent population are positively correlated with grassland desertification， and the permanent population indirectly promote the exacerbation of grassland desertification by affecting the sown area of crops.

Key words: Hexi Corridor, grassland desertification, status and changes, driving factors

CLC Number:

S283

Xiaoyun Cheng, Qin Zhang, Fangfang Lan, Yuan Li, Yaxuan Han, Limin Zhang, Yanke Yang, Xinyuan Wang. Dynamic characteristics and driving factors of grassland desertification in Hexi Corridor[J]. Journal of Desert Research, 2022, 42(6): 134-141.

Figures/Tables 7

References 39

1	王涛.干旱区绿洲化、荒漠化研究的进展与趋势［J］.中国沙漠，2009，29（1）：1-9.
2	赵哈林，赵学勇，张铜会，等.我国西北干旱区的荒漠化过程及其空间分异规律［J］.中国沙漠，2011，31（1）：1-8.
3	常影，宁大同.全球气候变化对中国土地荒漠化的影响［J］.地学前缘，2002，9（1）：244.
4	Zhang R Y， Wang Z W， Han G D，et al.Grazing induced changes in plant diversity is a critical factor controlling grassland productivity in the Desert Steppe，Northern China［J］.Agriculture，Ecosystems and Environment，2018，26（5）：73-83.
5	Cui Y X， Fang L C， Guo X B，et al.Responses of soil microbial communities to nutrient limitation in the desert-grassland ecological transition zone［J］.Science of the Total Environment，2018，64（2）：42-55.
6	Isselstein J， Griffith B A， Pradel P，et al.Effects of livestock breed and grazing intensity on biodiversity and production in grazing systems.1.Nutritive value of herbage and livestock performance［J］.Grass and Forage Science，2007，62（2）：145-158.
7	王新源，马仲武，王小军，等.不同沙化阶段高寒草甸植物群落与表土环境因子的关系［J］.生态学报，2020，40（19）：6850-6862.
8	Li X L， Yuan Q H， Wan L Q，et al.Perspectives on livestock production systems in China［J］.Rangeland Journal，2008，30（2）：211-220.
9	王新源，刘世增，陈翔舜，等.河西走廊绿洲面积动态及其驱动因素［J］.中国沙漠，2019，39（4）：212-219.
10	崔丹丹，张耀南，陈广庭.2001-2010年甘肃省植被覆盖的时空变化［J］.中国沙漠，2014，34（4）：1161-1166.
11	吕子君，卢欣石.甘肃河西走廊草地沙质荒漠化监测与治理对策［J］.江西农业大学学报，2005，27（3）：365-370.
12	常兆丰.甘肃河西60年防沙治沙的问题及出路［J］.干旱区资源与环境，2019，33（9）：152-159.
13	Luo W C， Zhao W Z， He Z B，et al.Spatial characteristics of two dominant shrub populations in the transition zone between oasis and desert in the Heihe River Basin，China［J］.Catena，2018，170：356-364.
14	Zhou H， Zhao W Z， He Z B，et al.Variation in depth of water uptake for Pinus sylvestris var.mongolica along a precipitation gradient in sandy regions［J］.Journal of Hydrology，2019，577：123921.
15	Liu H， Zhao W Z， Yang Y，et al.Modeling the physiological responses of a desert shrub to rainfall pulses in an arid environment in northwestern China［J］.Journal of Arid Environments，2020，183：104277.
16	高志海，丁峰，魏怀东.甘肃河西地区土地荒漠化的现状、成因及其防治［J］.自然灾害学报，2001，10（4）：70-75.
17	马仲武，王新源，王小军，等.甘肃省酒泉市土地沙漠化现状及动态分析［J］.中国农业资源与区划，2018，39（3）：141-147.
18	王小军，陈翔舜，魏金平，等.甘肃省2004-2009年土地沙漠化时空变化分析［J］.中国沙漠，2013，33（1）：33-37.
19	尚立照，陈翔舜，王小军，等.基于RS和GIS的敦煌市沙漠化动态监测［J］.水土保持通报，2016，36（2）：125-128，135.
20	孔君洽，杜泽玉，杨荣，等.黑河中游土地利用/覆被变化及其对碳储量影响的预测［J］.中国沙漠，2019，39（3）：87-97.
21	Zhang Y Y， Zhao W Z， Fu L，et al.Land use conversion influences soil respiration across a desert-oasis ecoregion in Northwest China，with consideration of cold season CO₂ efflux and its significance［J］.Catena，2020，188：104460.
22	董安祥，方锋，张宇，等.河西走廊大风持续时间的气候特征［J］.干旱气象，2014，32（4）：576-581.
23	邵梅，马立鹏，王新源，等.2004-2014年河西走廊荒漠化草地生态系统服务价值估算［J］.中国沙漠，2022，42（3）：63-73.
24	甘肃省林业厅.甘肃省荒漠化和沙漠化监测技术细则［Z］.2014.
25	Tang Q Y， Zhang C X.Data Processing System（DPS）software with experimental design，statistical analysis and data mining developed for use inentomological research［J］.Insect Science，2013，20（2）：254-260.
26	魏伟，俞啸，张梦真，等.1995-2018年石羊河流域下游荒漠化动态变化［J］.应用生态学报，2021，32（6）：2098-2106.
27	石建忠，陈翔舜，张龙生，等.甘肃省土地荒漠化状况及分析［J］.环境科学学报，2006，26（9）：1539-1544.
28	张钛仁，张玉峰，柴秀梅，等.人类活动对我国西北地区沙质荒漠化影响与对策研究［J］.中国沙漠，2010，30（2）：228-234.
29	陈英玉，王永贵，周向阳.黄河源区荒漠化现状及其驱动力研究［J］.青海大学学报（自然科学版），2008，26（4）：71-76，80.
30	张希彪，张多勇，上官周平，等.1949-2013年甘肃省环县土地沙漠化驱动因素研究［J］.干旱区资源与环境，2016，30（1）：130-135.
31	姚俊强，杨青，刘志辉，等.中国西北干旱区降水时空分布特征［J］.生态学报，2015，35（17）：5846-5855.
32	王新源，赵学勇，李玉霖，等.环境因素对干旱半干旱区凋落物分解的影响研究进展［J］.应用生态学报，2013，24（11）：3300-3310.
33	瞿王龙，杨小鹏，张存涛，等.干旱、半干旱地区天然草原灌木及其肥岛效应研究进展［J］.草业学报，2015，24（4）：201-207.
34	郑伟，朱进忠.新疆草地荒漠化过程及驱动因素分析［J］.草业科学，2012，29（9）：1340-1351.
35	王小军，陈翔舜，刘晓荣，等.河西走廊区沙漠化年度趋势变化分析研究［J］.甘肃科技，2014，30（9）：1-4，23.
36	Dai L C， Fu R Y， Guo X W，et al.Long-term grazing exclusion greatly improve carbon and nitrogen store in an alpine meadow on the northern Qinghai-Tibet Plateau［J］.Catena，2021，197：104955.
37	王力，李天玲.河西地区土地荒漠化现状与成因分析［J］.青海气象，2004，16（1）：45-51.
38	鱼小军.牦牛粪维系青藏高原高寒草地健康的作用机制［D］.兰州：甘肃农业大学，2010.
39	王新源，连杰，杨小鹏，等.玛曲县植被覆被变化及其对环境要素的响应［J］.生态学报，2019，39（3）：923-935.

评价指标	量化分值
植被总盖度	<10%(评分40)、10%—24%(评分30)、25%—39%(评分20)、40%—59%(评分10)、≥60%(评分4)
土壤质地	黏土(评分1)、壤土(评分5)、砂壤土(评分10)、壤砂土(评分15)、砂土(评分20)或砾石含量 <1%(评分1)、1%—14%(评分5)、15%—29%(评分10)、30%—49%(评分15)、≥50%(评分20)
覆沙厚度	≥100 cm(评分15)、99—50 cm(评分11)、49—20 cm(评分7.5)、19—5 cm(评分4)、<5 cm(评分1)
地表形态	平沙地或沙丘高度≤2 m(评分6)、沙丘高度 2.1—5.0 m(评分12.5)、沙丘高度 5.1—10 m(评分19)、裸地或沙丘高度>10 m(评分25)

评价指标	量化分值
植被总盖度	<10%(评分40)、10%—24%(评分30)、25%—39%(评分20)、40%—59%(评分10)、≥60%(评分4)
土壤质地	黏土(评分1)、壤土(评分5)、砂壤土(评分10)、壤砂土(评分15)、砂土(评分20)或砾石含量 <1%(评分1)、1%—14%(评分5)、15%—29%(评分10)、30%—49%(评分15)、≥50%(评分20)
覆沙厚度	≥100 cm(评分15)、99—50 cm(评分11)、49—20 cm(评分7.5)、19—5 cm(评分4)、<5 cm(评分1)
地表形态	平沙地或沙丘高度≤2 m(评分6)、沙丘高度 2.1—5.0 m(评分12.5)、沙丘高度 5.1—10 m(评分19)、裸地或沙丘高度>10 m(评分25)

行政区域	社会因素					自然因素
行政区域	常住人口数	大牲畜存栏数	羊存栏数	粮食产量	农作物播种面积	年降水量	年均气温
河西走廊	0.8895	0.9111	0.8260	0.8562	0.8588	0.9255	0.9119
酒泉市	0.8884	0.9319	0.8298	0.8613	0.8574	0.9407	0.9197
嘉峪关市	0.8781	0.9103	0.8345	0.9013	0.8837	0.9141	0.9192
张掖市	0.8673	0.7893	0.7976	0.7864	0.8246	0.8524	0.8692
金昌市	0.8869	0.9422	0.8110	0.7946	0.8192	0.8936	0.8858
武威市	0.9216	0.9126	0.8371	0.9150	0.9140	0.9205	0.9104

行政区域	社会因素					自然因素
行政区域	常住人口数	大牲畜存栏数	羊存栏数	粮食产量	农作物播种面积	年降水量	年均气温
河西走廊	0.8895	0.9111	0.8260	0.8562	0.8588	0.9255	0.9119
酒泉市	0.8884	0.9319	0.8298	0.8613	0.8574	0.9407	0.9197
嘉峪关市	0.8781	0.9103	0.8345	0.9013	0.8837	0.9141	0.9192
张掖市	0.8673	0.7893	0.7976	0.7864	0.8246	0.8524	0.8692
金昌市	0.8869	0.9422	0.8110	0.7946	0.8192	0.8936	0.8858
武威市	0.9216	0.9126	0.8371	0.9150	0.9140	0.9205	0.9104

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Dynamic characteristics and driving factors of grassland desertification in Hexi Corridor

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