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- Title
2000-2019年洞庭湖流域植被 NPP时空特征及驱动因素分析.
- Authors
朱思佳; 冯徽徽; 邹滨; 叶书朝
- Abstract
The nd pymara productivity (NPP) of veeetation is a VU indicator for assessiny a basin ecosystem. Based on a lony time sees of NPP data of 2000-2019 from a modeaie resolution imaainy spectroradiometer (MODIS), this study analyzed the spatio 一 temporal venations in the veeetation NPP of the Dongtiny Lake basin O the pasi 20 yea. Then, V revealed tae influencc characteristid and contrieution of drivinyfactorr (e. y., meteorolovy and yround surfaco) on the veeetation NPP of the study n usiny methods includiny the GIS spatio - temporaO analysis and GevDetectvr. The results ara as follows. ① The NPP vvlues in the study aree have an averaye of 0. 65 kgC/(m2 • a), witi high vvlues mainlz distributed in Uiv wesi and south of the basin and low vvlues concentrated ner the lake. ② Duriny 2000-2019, the veeetation NPP of the Dongtiny Lake basin presented a slighhy rising trend ("二 0.003# +0.622 7, $ 二 0.437, p V 0.001). It increesed in the northwest and south 一 cental parts and decreesed in the northesi and southwest boundaries, and Vs center of gravity slightly shifted. ③ The changes in the veeetation NPP of the Dongting Lake basin was signimcontly affected by meteorolovicol factorr (epemily temperature). By contrast, its spaim characteristid were mainly affected by lad use, folowed by precipitation and DEM. In addition, the results suggested siynificant interactions between dCferent factors, which wasmaonoyeeeoecied byihebo-eacioeenhancemeni(DEM and oand use, oeDEM and peecopoiaioon) and nonooneae enhancemeni (iempeeaiuee and peecopoiaioon, oand use and DEM, and peecopoiaioon and oand use). The conclusions of this study help to correctly understand and grasp the spatio 一 UmpOTt characteristid of the veeetation NPP of the Dongting Lake basin and their inUrnt influencing mechanisms, thus providing a scientific basis for the manaaement and govemanco of the ecosystem in the basin.
- Subjects
CENTER of mass; SPECTRORADIOMETER; ECOSYSTEMS; LAKES; TEMPERATURE
- Publication
Remote Sensing for Natural Resources, 2022, Vol 34, Issue 3, p196
- ISSN
2097-034X
- Publication type
Article
- DOI
10.6046/zrzyyg-2021283