Page 59 - 《广西植物》2025年第8期
P. 59

8 期          贾玉伟等: TG 和 VI 生产力模型在中亚热带典型森林多时间尺度的适用性评价                                      1 4 2 5

               China [J]. Journal of Plant Ecologyꎬ 41(3): 337-347. [王克  (8): 884-894. [严燕儿ꎬ 赵斌ꎬ 郭海强ꎬ 等ꎬ 2008. 生态
               清ꎬ 王鹤松ꎬ 孙建新ꎬ 2017. 遥感 GPP 模型在中国地区多站               系统碳通量估算中耦合涡度协方差与遥感技术研究进展
               点的应用与比较 [J]. 植物生态学报ꎬ 41(3): 337-347.]             [J]. 地球科学进展ꎬ 23(8): 884-894.]
            WANG XFꎬ MA MGꎬ LI Xꎬ et al.ꎬ 2012. Comparison of remote  YANG MXꎬ DAI ZYꎬ DU QYꎬ et al.ꎬ 2019. Comparison of
               sensing based GPP models at an alpine meadow site  different GPP models in subtropical evergreen forest sites
               [J]. Journal of Remote Sensingꎬ 16(4): 751-763. [王旭  [J]. Surveying and Mapping Geographic Informationꎬ 44
               峰ꎬ 马明国ꎬ 李新ꎬ 等ꎬ 2012. 遥感 GPP 模型在高寒草甸               (1): 69-73. [杨明兴ꎬ 代侦勇ꎬ 杜启勇ꎬ 等ꎬ 2019. 遥感
               的应用比较 [J]. 遥感学报ꎬ 16(4): 751-763.]                 GPP 模型在亚热带常绿林的应用比较 [J]. 测绘地理信
            WATHAM Tꎬ PATEL NRꎬ KUSHWAHA SPSꎬ et al.ꎬ            息ꎬ 44(1): 69-73.]
               2017. Evaluation of remote ̄sensing ̄based models of gross  YU GRꎬ ZHANG LMꎬ SUN XMꎬ 2014. Major progress and
               primary productivity over Indian sal forest using flux tower  development prospect of ChinaFLUX [ J ]. Progress in
               and MODIS satellite data [ J ]. International Journal of  Geoscienceꎬ 33(7): 903-917. [于贵瑞ꎬ 张雷明ꎬ 孙晓
               Remote Sensingꎬ 38(18): 5069-5090.                敏ꎬ 2014. 中 国 陆 地 生 态 系 统 通 量 观 测 研 究 网 络
            WU CYꎬ HAN XZꎬ NI JSꎬ et al.ꎬ 2010. Estimation of gross  (ChinaFLUX)的主要进展及发展展望 [J]. 地理科学进
               primary production in wheat from in situ measurements  展ꎬ 33(7): 903-917.]
               [J]. International Journal of Applied Earth Observation and  YUAN WPꎬ CAI WWꎬ LIU Dꎬ et al.ꎬ 2014. Satellite ̄based
               Geoinformationꎬ 12(3): 183-189.                   vegetation production models of terrestrial ecosystem: An
            WUTZLER Tꎬ LUCAS ̄MOFFAT Aꎬ MIGLIAVACCA Mꎬ et al.ꎬ    overview [ J]. Progress in Earth Scienceꎬ 29 (5): 541 -
               2018. Basic and extensible post ̄processing of eddy covariance  550. [袁文平ꎬ 蔡文文ꎬ 刘丹ꎬ 等ꎬ 2014. 陆地生态系统植
               flux data with REddyProc [ J]. Biogeosciencesꎬ 15 (16):  被生产力遥感模型研究进展 [J]. 地球科学进展ꎬ 29(5):
               5015-5030.                                        541-550.]
            XIAO XMꎬ ZHANG QYꎬ SALESKA Sꎬ et al.ꎬ 2005. Satellite ̄  ZHANG XJꎬ LI DJꎬ LIU SHꎬ et al.ꎬ 2022. Application progress
               based modeling of gross primary production in a seasonally  of remote sensing technology in the realization of “ Double
               moist tropical evergreen forest [ J ]. Remote Sensing of  Carbon” goal [J]. Space Return and Remote Sensingꎬ 43
               Environmentꎬ 94(1): 105-122.                      (6): 106-118. [张晓娟ꎬ 李东杰ꎬ 刘思含ꎬ 等ꎬ 2022. 遥
            XU SXꎬ JING CQꎬ GAO SHꎬ et al.ꎬ 2022. Evaluation of the  感技术在“双碳”目标实现中的应用进展 [J]. 航天返回
               applicability of remote sensing GPP models in four typical  与遥感ꎬ 43(6): 106-118.]
               ecosystems in the arid zone of Central Asia [J]. Journal of  ZHU WQꎬ XIE ZYꎬ ZHAO CLꎬ et al.ꎬ 2024. Remote sensing of
               Ecologyꎬ 42(23): 9689-9700. [许世贤ꎬ 井长青ꎬ 高胜寒ꎬ       terrestrial gross primary productivity: a review of advances in
               等ꎬ 2022. 遥感 GPP 模型在中亚干旱区 4 个典型生态系                 theoretical foundationꎬ key parameters and methods [ J].
               统的适用性评价 [J]. 生态学报ꎬ 42(23): 9689-9700.]            GIScience & Remote Sensingꎬ 61(1): 2318846.
            YAN YEꎬ ZHAO Bꎬ GUO HQꎬ et al.ꎬ 2008. Progress of
               coupled eddy covariance and remote sensing in ecosystem                      (责任编辑  邓斯丽)
               carbon flux estimation [J]. Advances in Earth Sciencesꎬ 23
   54   55   56   57   58   59   60   61   62   63   64