| 101 | 0 | 54 |
| 下载次数 | 被引频次 | 阅读次数 |
植被的碳、水利用效率不仅受自身生理条件影响，还与气候条件密切相关。基于MODIS遥感产品，利用Theil-Sen+Mann-Kendall检验及相关分析等方法分析了2000—2022年赤峰市不同土地利用类型下，植被的碳利用效率(CUE)和水分利用效率(WUE)的时空变化及其与干旱的相关关系。结果表明：(1)赤峰市植被碳、水利用效率的多年平均值分别为0.591、1.39 gC/(mm·m2)，不同土地利用类型碳利用效率的大小依次为：草地(0.605)>未利用土地(0.601)>耕地(0.568)>林地(0.565)，水分利用效率的大小依次为：林地(1.53 gC/(mm·m2))>耕地(1.41 gC/(mm·m2))>草地(1.38 gC/(mm·m2))>未利用土地(0.86 gC/(mm·m2))；(2)研究时段内，赤峰市碳、水利用效率整体呈增加趋势，林地、草地和未利用土地CUE及林地WUE呈显著增加趋势；(3)植被的碳利用效率比水利用效率更易受到干旱的影响，干旱程度增加时，林地、草地和未利用土地的碳利用效率显著下降。
Abstract：The carbon and water utilization efficiency of vegetation are not only affected by their physiological conditions, but also closely related to climatic conditions. Based on the MODIS remote sensing products, we used Theil-Sen trend analysis, Mann-Kendall significance test and correlation analysis methods to analyze the changes of vegetation carbon utilization efficiency(CUE) and water utilization efficiency(WUE) of different land-use types in Chifeng City from 2000 to 2022 and their correlations with drought. The results showed that(1)the average annual CUE and WUE in Chifeng City were 0.591 and 1.39 gC/(mm·m2). The order of CUE of different land-use types was grassland(0.605 g C/(mm·m2))>unused land(0.601)> cultivated land(0.568)>forest(0.565), and the order of WUE was forest(1.53 gC/(mm·m2))> cultivated land(1.41 gC/(mm·m2))>grassland(1.38 gC/(mm·m2))>unused land(0.86 gC/(mm·m2)).(2)During the study period, CUE and WUE in Chifeng City showed an increasing trend, while the CUE of forest, grassland, unused land and the WUE of forest showed a significant increasing trend.(3)CUE of vegetation was more susceptible to drought than WUE. When the degree of drought increased, CUE of forest, grassland and unused land decreased significantly.
[1]Manzoni S, Taylor P, Richter A, et al. Environmental and Stoichiometric Controls on Microbial Carbon-use Efficiency in Soils[J]. New Phytologist,2012,196(1):79-91
[2]张婷，周军志，李建柱，等.陆地生态系统碳水通量特征研究进展[J].地球环境学报，2022,13(6):645-666
[3]Tang X,Li H,Desai A,et al. How is Water-use Efficiency of Terrestrial Ecosystems Distributed and Changing on Earth?[J]. Scientific Reports,2014(4):7483
[4]钱佳霖，赵梦扬，卜灵心，等.黄河上游宁蒙大型灌区生态系统水分利用效率变化及其影响因素[J].干旱区资源与环境，2024,38(11):124-136
[5]姚瑶，黄治勇，陈笑笑，等.基于MOD16和地面降水数据的大别山区农业干旱与气象干旱响应关系[J].干旱地区农业研究，2024,42(4):262-272
[6]吴天晓，李宝富，郭浩，等.基于优选遥感干旱指数的华北平原干旱时空变化特征分析[J].生态学报，2023,43(4):1621-1634
[7]曹晓云，周秉荣，周华坤，等.气候变化对青藏高原植被生态系统的影响研究进展[J].干旱气象，2022,40(6):1068-1080
[8]Khalifa M,Elagrib N,Ribbe L,et al. Spatio-temporal Variations in Climate,Primary Productivity and Efficiency of Water and Carbon Use of the Land Cover Types in Sudan and Ethiopia[J]. Science of the Total Environment,2018,624:790-806
[9]吴梦月.中国西南地区生态系统碳循环对干旱的响应[D].西安:西安科技大学，2021
[10]赵紫竹，张宝林，潘丽杰，等.基于SPEI的内蒙古东部干旱诊断与预测[J].环境生态学，2023,5(7):39-48
[11]夏国华.内蒙古赤峰市现代农业发展研究[D].北京:中国农业科学院，2017
[12]孙桂候，徐军，张静雯，等.利用多源数据分析江苏省碳源/汇时空格局[J].地理空间信息，2024,22(9):7-12
[13]Yang J,Huang X. The 30 m Annual Land Cover Dataset and Its Dynamics in China from 1990 to 2019[J]. Earth System Science Data,2021,13(8):3907-3925
[14]卫鸿飞，张唯，吉宸佳，等.基于GEE的阿拉善左旗植被时空变化特征及驱动因子分析[J].地理空间信息，2024,22(2):55-60
[15]林子琦，温仲明，刘洋洋，等.基于遥感数据的植被碳水利用效率时空变化和归因分析[J].生态学报，2024,44(1):377-391
[16]赵月帅，张秀红，范田禾，等.西安市植被碳汇时空演变特征及影响因素解析[J].地理空间信息，2024,22(2):30-33
基本信息:
中图分类号:P237;Q948
引用信息:
[1]张迎杰,樊雪丰,刘宣,等.赤峰市植被碳水利用效率变化及其与干旱的关系[J].地理空间信息,2026,24(02):55-58.
基金信息:
内蒙古自治区科技计划资助项目（2022YFSH0130、2021GG0019）
2026-02-25
2026-02-25