Spatial differentiation mechanism of land cover and related changes in water-carbon variables in Wuding River Basin
Received date: 2022-03-22
Revised date: 2022-12-24
Online published: 2023-04-28
The Wuding River Basin is the key area for the implementation of the grain for green program on the Loess Plateau. Exploring the spatial differentiation mechanism of land cover and the characteristics of variation of related water-carbon variables is essential for supporting water and soil resources conservation and planning, along with serving the construction of regional ecological civilization. Here we used the linear tendency method, Mann-Kendall trend test, Pettitt test, and geodetector to analyze the spatiotemporal characteristics and the factors driving the spatial differentiation of land cover in Wudinghe River Basin. In addition, from the perspective of land-water-carbon coupling, we analyzed the characteristics of variation of total primary productivity (GPP), actual evapotranspiration (ET), and water use efficiency (WUE). Three main results were as follows: (i) The total grassland, forest, and construction land increased significantly, while the cropland and barren land decreased significantly during 1990-2019. The area of forest and grassland increased mainly in the lower reaches of the basin and along Wuding River. (ii) Population density, precipitation, and temperature have a significant impact on the spatial pattern of land cover. On the whole, the influence of socioeconomic factors is greater than that of natural factors, but the influence of natural factors represented by precipitation and temperature is increasing. (iii) There is a good correlation between the variation of water-carbon variables and land cover change. Spatially, GPP, ET, and WUE are relatively high in the southeastern part of the basin where cropland, forest, and grassland are the main cover, while they are lower in the northwestern part of the basin where grassland and barren land are the main cover. In terms of time, GPP, ET, and WUE all showed increasing trends during 2001-2019. GPP and WUE increased significantly in most parts of the basin, while ET increased significantly mainly in its middle and lower reaches. In conclusion, under the implementation of the grain for green program and climate change, the forest and grass in Wudinghe River Basin have been restored and the ecology has been improved.
Jinxin LYU , Kang LIANG , Changming LIU , Yihui ZHANG , Lu LIU . Spatial differentiation mechanism of land cover and related changes in water-carbon variables in Wuding River Basin[J]. Arid Zone Research, 2023 , 40(4) : 563 -572 . DOI: 10.13866/j.azr.2023.04.05
[1] | Turner B L, Lambin E F, Reenberg A. The emergence of land change science for global environmental change and sustainability[J]. Proceedings of the National Academy of Sciences, 2007, 104(52): 20666-20671. |
[2] | Sterling S M, Ducharne A, Polcher J. The impact of global land-cover change on the terrestrial water cycle[J]. Nature Climate Change, 2013, 3(4): 385-390. |
[3] | Rindfuss R R, Entwisle B, Walsh S J, et al. Land use change: complexity and comparisons[J]. Journal of Land Use Science, 2008, 3(1): 1-10. |
[4] | Liu X, Liang X, Li X, et al. A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects[J]. Landscape and Urban Planning, 2017, 168: 94-116. |
[5] | Li Y, Piao S, Li L Z, et al. Divergent hydrological response to large-scale afforestation and vegetation greening in China[J]. Science Advances, 2018, 4(5): 4182. |
[6] | 刘婉如, 陈春波, 罗格平, 等. 巴尔喀什湖流域土地利用/覆被变化过程与趋势[J]. 干旱区研究, 2021, 38(5): 1452-1463. |
[6] | [Liu Wanru, Chen Chunbo, Luo Geping, et al. Change processes and trends of land use/cover in the Balkhash Lake basin[J]. Arid Zone Research, 2021, 38(5): 1452-1463.] |
[7] | Ren Y J, Lyu Y H, Fu B J, et al. Driving factors of land change in China’s Loess Plateau: Quantification using geographically weighted regression and management implications[J]. Remote Sensing, 2020, 12(3): 453. |
[8] | Gohain K J, Mohammad P, Goswami A. Assessing the impact of land use land cover changes on land surface temperature over Pune city, India[J]. Quaternary International, 2021, 575: 259-269. |
[9] | Anand V, Oinam B. Future land use land cover prediction with special emphasis on urbanization and wetlands[J]. Remote Sensing Letters, 2020, 11(3): 225-234. |
[10] | 王永洵, 王亚飞, 张静文, 等. 海岸带土地利用转型及其生态环境效应——以福建海岸带为例[J]. 环境科学学报, 2021, 41(10): 3927-3937. |
[10] | [Wang Yongxun, Wang Yafei, Zhang Jingwen, et al. Land use transition in coastal zone and its eco-environmental effects: Taking Fujian coastal zone as an example[J]. Acta Scientiae Circumstantiae, 2021, 41(10): 3927-3937.] |
[11] | Chen Y, Wang K, Lin Y, et al. Balancing green and grain trade[J]. Nature Geoscience, 2015, 8(10): 739-741. |
[12] | 李婷, 吕一河, 任艳姣, 等. 黄土高原植被恢复成效及影响因素[J]. 生态学报, 2020, 40(23): 8593-8605. |
[12] | [Li Ting, Lyu Yihe, Ren Yanjiao, et al. Gauging the effectiveness of vegetation restoration and the influence factors in the Loess Plateau[J]. Acta Ecologica Sinica, 2020, 40(23): 8593-8605.] |
[13] | 李宗善, 杨磊, 王国梁, 等. 黄土高原水土流失治理现状、问题及对策[J]. 生态学报, 2019, 39(20): 7398-7409. |
[13] | [Li Zongshan, Yang Lei, Wang Guoliang, et al. The management of soil and water conservation in the Loess Plateau of China: Present situations, problems, and counter-solutions[J]. Acta Ecologica Sinica, 2019, 39(20): 7398-7409.] |
[14] | 佟彪, 党安荣, 周宏宇. 无定河流域城镇聚落的历史演变与人地耦合[J]. 自然资源学报, 2021, 36(1): 38-54. |
[14] | [Tong Biao, Dang Anrong, Zhou Hongyu. The historical evolution of urban settlements and man-land coupling in Wuding River Basin[J]. Journal of Natural Resources, 2021, 36(1): 38-54.] |
[15] | 王计平, 程复, 汪亚峰, 等. 生态恢复背景下无定河流域土地利用时空变化[J]. 水土保持通报, 2014, 34(5): 237-243. |
[15] | [Wang Jiping, Cheng Fu, Wang Yafeng, et al. Spatial-temporal changes of land use in wuding river basin under ecological restoration[J]. Bulletin of Soil and Water Conservation, 2014, 34(5): 237-243.] |
[16] | 张冉, 王义民, 畅建霞, 等. 基于水资源分区的黄河流域土地利用变化对人类活动的响应[J]. 自然资源学报, 2019, 34(2): 274-287. |
[16] | [Zhang Ran, Wang Yimin, Chang Jianxia, et al. Response of land use change to human activities in the Yellow River Basin based on water resources division[J]. Journal of Natural Resources, 2019, 34(2): 274-287.] |
[17] | 何航, 张勃, 候启, 等. 1982—2015年中国北方生长季NDVI变化及其对气温极值的响应[J]. 干旱区研究, 2020, 37(1): 244-253. |
[17] | [He Hang, Zhang Bo, Hou Qi, et al. Spatio-temporal change of NDVI and its response to extreme temperature indices in North China from 1982 to 2015[J]. Arid Zone Research, 2020, 37(1): 244-253.] |
[18] | Tian X, Zhao G, Mu X, et al. Hydrologic alteration and possible underlying causes in the Wuding River, China[J]. Science of the Total Environment, 2019, 693: 133556. |
[19] | 宁怡楠, 杨晓楠, 孙文义, 等. 黄河中游河龙区间径流量变化趋势及其归因[J]. 自然资源学报, 2021, 36(1): 256-269. |
[19] | [Ning Yinan, Yang Xiaonan, Sun Wenyi, et al. The trend of runoff change and its attribution in the middle reaches of the Yellow River[J]. Journal of Natural Resources, 2021, 36(1): 256-269.] |
[20] | 蒋凯鑫, 于坤霞, 曹文洪, 等. 黄土高原典型流域水沙变化归因对比分析[J]. 农业工程学报, 2020, 36(4): 143-149. |
[20] | [Jiang Kaixin, Yu Kunxia, Cao Wenhong, et al. Attributional comparative analysis of runoff and sediment change in typical basin of Loess Plateau[J]. Chinese Journal of Agricultural Engineering, 2020, 36(4): 143-149.] |
[21] | 陶帅, 邝婷婷, 彭文甫, 等. 2000—2015年长江上游NDVI时空变化及驱动力——以宜宾市为例[J]. 生态学报, 2020, 40(14): 5029-5043. |
[21] | [Tao Shuai, Kuang Tingting, Peng Wenfu, et al. Analyzing the spatio-temporal variation and drivers of NDVI in upper reaches of the Yangtze River from 2000 to 2015: A case study of Yibin City[J]. Acta Ecologica Sinica, 2020, 40(14): 5029-5043.] |
[22] | 纪秋磊, 梁伟, 傅伯杰, 等. 基于Google Earth Engine与复杂网络的黄河流域土地利用/覆被变化分析[J]. 生态学报, 2022, 42(6): 2122-2135. |
[22] | [Ji Qiulei, Liang Wei, Fu Bojie, et al. Land use/cover change in the Yellow River Basin based on Google Earth Engine and complex network[J]. Acta Ecologica Sinica, 2022, 42(6): 2122-2135.] |
[23] | 闫国振, 张征, 梁康, 等. 鄂尔多斯高原泊江海子流域土地利用动态变化及驱动因素分析[J]. 中国生态农业学报, 2017, 25(11): 1693-1706. |
[23] | [Yan Guozhen, Zhang Zheng, Liang Kang, et al. Characteristics and driving factors of land use change in the Bojiang Lake Basin in Ordos Plateau, China[J]. Chinese Journal of Eco-Agriculture, 2017, 25(11): 1693-1706.] |
[24] | 臧玉珠, 刘彦随, 杨园园. 山区县域土地利用格局变化及其地形梯度效应——以井冈山市为例[J]. 自然资源学报, 2019, 34(7): 1391-1404. |
[24] | [Zang Yuzhu, Liu Yansui, Yang Yuanyuan. Land use pattern change and its topographic gradient effect in the mountainous areas: A case study of Jinggangshan city[J]. Journal of Natural Resources, 2019, 34(7): 1391-1404.] |
[25] | 于元赫, 李子君, 林锦阔, 等. 沂河流域土地利用时空变化图谱特征分析[J]. 自然资源学报, 2019, 34(5): 975-988. |
[25] | [Yu Yuanhe, Li Zijun, Lin Jinkuo, et al. TUPU characteristics of spatiotemporal variation for the land use in the Yihe River Basin[J]. Journal of Natural Resources, 2019, 34(5): 975-988.] |
[26] | 何春阳, 张金茜, 刘志锋, 等. 1990—2018年土地利用/覆盖变化研究的特征和进展[J]. 地理学报, 2021, 76(11): 2730-2748. |
[26] | [He Chunyang, Zhang Jinqian, Liu Zhifeng, et al. Characteristics and progress of land use/cover change research during 1990-2018[J]. Acta Geographica Sinica, 2021, 76(11): 2730-2748.] |
[27] | Berihun M L, Tsunekawa A, Haregeweyn N, et al. Exploring land use/land cover changes, drivers and their implications in contrasting agro-ecological environments of Ethiopia[J]. Land Use Policy, 2019, 87: 104052. |
[28] | 高江波, 焦珂伟, 吴绍洪. 1982—2013年中国植被NDVI空间异质性的气候影响分析[J]. 地理学报, 2019, 74(3): 534-543. |
[28] | [Gao Jiangbo, Jiao Kewei, Wu Shaohong. Revealing the climatic impacts on spatial heterogeneity of NDVI in China during 1982-2013[J]. Acta Geographica Sinica, 2019, 74(3): 534-543.] |
[29] | Arowolo A O, Deng X. Land use/land cover change and statistical modelling of cultivated land change drivers in Nigeria[J]. Regional environmental change, 2018, 18(1): 247-259. |
[30] | 王劲峰, 徐成东. 地理探测器:原理与展望[J]. 地理学报, 2017, 72(1): 116-134. |
[30] | [Wang Jinfeng, Xu Chengdong. Geodetector: Principle and prospective[J]. Acta Geographica Sinica, 2017, 72(1): 116-134.] |
[31] | 马晓妮, 任宗萍, 谢梦瑶, 等. 基于地理探测器的砒砂岩区植被覆盖度环境驱动因子量化分析[J]. 生态学报, 2022, 42(8): 3389-3399. |
[31] | [Ma Xiaoni, Ren Zongping, Xie Mengyao, et al. Quantitative analysis of environmental driving factors of vegetation coverage in the Pisha sandstone area based on geodetector[J]. Acta Ecologica Sinica, 2022, 42(8): 3389-3399.] |
[32] | 韩美, 孔祥伦, 李云龙, 等. 黄河三角洲“三生”用地转型的生态环境效应及其空间分异机制[J]. 地理科学, 2021, 41(6): 1009-1018. |
[32] | [Han Mei, Kong Xianglun, Li Yunlong, et al. Eco-environmental effects and its spatial heterogeneity of ‘ecological-production-living’ land use transformation in the Yellow River Delta[J]. Scientia Geographica Sinica, 2021, 41(6): 1009-1018.] |
[33] | 韩海青, 王旭红, 牛林芝, 等. 1992—2015年中亚五国LUCC特征及耕地驱动力研究[J]. 中国生态农业学报, 2021, 29(2): 325-339. |
[33] | [Han Haiqing, Wang Xuhong, Niu Linzhi, et al. The land-use and land-cover change characteristics and driving forces of cultivated land in Central Asian countries from 1992 to 2015[J]. Chinese Journal of Eco-Agriculture, 2021, 29(2): 325-339.] |
[34] | Zhang K, Kimball J S, Nemani R R, et al. Vegetation greening and climate change promote multidecadal rises of global land evapotranspiration[J]. Scientific Reports, 2015, 5: 15956. |
[35] | 姚佳, 陈启慧, 李琼芳, 等. 伊犁河—巴尔喀什湖流域实际蒸散发时空变化特征及其环境影响因子[J]. 干旱区研究, 2022, 39(5): 1564-1575. |
[35] | [Yao Jia, Chen Qihui, Li Qiongfang, et al. Spatial and temporal variability of evapotranspiration and its environmental influencing factors in lli River-Balkhash Lake Basin[J]. Arid Zone Research, 2022, 39(5): 1564-1575.] |
[36] | Monteith J L. Solar radiation and productivity in tropical ecosystems[J]. Journal of Applied Ecology, 1972, 9(3): 747-766. |
[37] | Guan X, Chen J M, Shen H, et al. Comparison of big-leaf and two-leaf light use efficiency models for GPP simulation after considering a radiation scalar[J]. Agricultural and Forest Meteorology, 2022, 313: 108761. |
[38] | 张世喆, 朱秀芳, 刘婷婷, 等. 气候变化下中国不同植被区GPP对干旱的响应分析[J]. 生态学报, 2022, 42(8): 3429-3440. |
[38] | [Zhang Shizhe, Zhu Xiufang, Liu Tingting, et al. Response of gross primary production to drought under climate change in different vegetation regions of China[J]. Acta Ecologica Sinica, 2022, 42(8): 3429-3440.] |
[39] | To A, Inatomi M. Water-use efficiency of the terrestrial biosphere: A model analysis focusing on interactions between the global carbon and water cycles[J]. Journal of Hydrometeorology, 2012, 13(2): 681-694. |
[40] | 吴方涛, 曹生奎, 曹广超, 等. 高寒湿地生态系统水分利用效率研究[J]. 干旱区研究, 2018, 35(2): 306-314. |
[40] | [Wu Fangtao, Cao Shengkui, Cao Guangchao, et al. Water use Efficiency of Alpine Wetland Ecosystem[J]. Arid Zone Research, 2018, 35(2): 306-314.] |
[41] | 张永强, 孔冬冬, 张选泽, 等. 2003—2017年植被变化对全球陆面蒸散发的影响[J]. 地理学报, 2021, 76(3): 584-594. |
[41] | [Zhang Yongqiang, Kong Dongdong, Zhang Xuanze, et al. Impacts of vegetation changes on global evapotranspiration in the period 2003-2017[J]. Acta Geographica Sinica, 2021, 76(3): 584-594.] |
[42] | 李艳忠, 刘昌明, 刘小莽, 等. 植被恢复工程对黄河中游土地利用/覆被变化的影响[J]. 自然资源学报, 2016, 31(12): 2005-2020. |
[42] | [Li Yanzhong, Liu Changming, Liu Xiaomang, et al. Impact of the grain for green project on the land use/cover change in the middle Yellow River[J]. Journal of Natural Resources, 2016, 31(12): 2005-2020.] |
[43] | 叶许春, 杨晓霞, 刘福红, 等. 长江流域陆地植被总初级生产力时空变化特征及其气候驱动因子[J]. 生态学报, 2021, 41(17): 6949-6959. |
[43] | [Ye Xuchun, Yang Xiaoxia, Liu Fuhong, et al. Spatio temporal variations of land vegetation gross primary production in the Yangtze River Basin and correlation with meteorological factors[J]. Acta Ecologica Sinica, 2021, 41(17): 6949-6959.] |
[44] | Li C, Zhang Y, Shen Y, et al. LUCC-driven changes in gross primary production and actual evapotranspiration in northern China[J]. Journal of Geophysical Research: Atmospheres, 2020, 125(6): e2019JD031705. |
[45] | 佟彪, 党安荣, 周宏宇. 无定河流域城镇聚落的历史演变与人地耦合[J]. 自然资源学报, 2021, 36(1): 38-54. |
[45] | [Tong Biao, Dang Anrong, Zhou Hongyu. The historical evolution of urban settlements and man-land coupling in Wuding River Basin[J]. Journal of Natural Resources, 2021, 36(1): 38-54.] |
[46] | Xu Y, Yu L, Peng D, et al. Annual 30-m land use/land cover maps of China for 1980-2015 from the integration of AVHRR, MODIS and Landsat data using the BFAST algorithm[J]. Science China Earth Science, 2020, 63(9): 1390-1407. |
[47] | 徐新良. 中国GDP空间分布公里网格数据集[DB/OL]. 中国科学院资源环境科学数据中心数据注册与出版系统, 2017. |
[47] | [Xu Xinliang. Kilometer Grid Dataset of Spatial Distribution of China’s GDP[DB/OL]. Data Registration and Publishing System of Resources and Environment Science and Data Center, Chinese Academy of Sciences, 2017.] |
[48] | 徐新良. 中国人口空间分布公里网格数据集[DB/OL]. 中国科学院资源环境科学数据中心数据注册与出版系统, 2017. |
[48] | [Xu Xinliang. Kilometer Grid Dataset of Population Spatial Distribution in China[DB/OL]. Data Registration and Publishing System of Resources and Environment Science and Data Center, Chinese Academy of Sciences, 2017.] |
[49] | 张永强, 何韶阳. 中国区域PML-V2陆地蒸散发与总初级生产力数据集(2000.02.26-2020.12.31)[DB/OL]. 国家青藏高原科学数据中心, 2022. |
[49] | [Zhang Yongqiang, He Shaoyang. PML-V2(China): Evapotranspiration and Gross Primary Production (2000. 02.26-2020.12.31)[DB/OL]. National Tibetan Plateau Data Center, 2022.] |
[50] | 魏凤英. 现代气候统计诊断与预测技术[M]. 北京: 气象出版社, 1999. |
[50] | [Wei Fengying. Modern Climate Statistical Diagnosis and Prediction Technology[M]. Beijing: Meteorological Press, 1999.] |
[51] | Mann H B. Nonparametric tests against trend[J]. Econometrica: Journal of the Econometric Society, 1945, 13(3): 245-259. |
[52] | Kendall M G. Rank correlation methods[J]. British Journal of Psychology, 1990, 25(1): 86-91. |
[53] | Pettitt A N. A Non-parametric approach to the change-point problem[J]. Journal of the Royal Statistical Society: Series C (Applied Statistics), 1978, 28(2): 126-135. |
[54] | 徐成东, 王劲峰, 邢丁凡. 一种基于模拟退火的地理探测器最优离散化方法: CN108959192A[P]. 2018. |
[54] | [Xu Chengdong, Wang Jinfeng, Xing Dingfan. An Optimal Discretization Method for Geographic Detectors Based on Simulated Annealing: CN108959192A[P]. 2018.] |
[55] | 朱永华, 罗平平, 郭倩, 等. 毛乌素沙地暖湿化特征分析及其对植被变化的影响[J]. 水土保持学报, 2022, 36(5): 160-172, 180. |
[55] | [Zhu Yonghua, Luo Pingping, Guo Qian, et al. Analysis of warming and humidifying characteristics of Mu Us Sandy Land and its influence on vegetation change[J]. Journal of Soil and Water Conservation, 2022, 36(5): 160-172, 180.] |
[56] | 孙福宝. 基于Budyko水热耦合平衡假设的流域蒸散发研究[D]. 北京: 清华大学, 2007. |
[56] | [Sun Fubao. Study on Watershed Evapotranspiration Based on the Budyko Hypothesis[D]. Beijing: Tsinghua University, 2007.] |
/
〈 | 〉 |