Temporal and spatial pattern of NPP in Yulin and its influencing factors during the desertification reversal

doi:10.7522/j.issn.1000-694X.2023.00066

Journal of Desert Research ›› 2024, Vol. 44 ›› Issue (1): 22-32.DOI: 10.7522/j.issn.1000-694X.2023.00066

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Temporal and spatial pattern of NPP in Yulin and its influencing factors during the desertification reversal

Xiao Feng¹(), Jianjun Qu², Xinhui Ding¹, Qin Tian¹, Qingbin Fan³

^1.College of Geography and Environment，Xianyang Normal University，Xianyang 712000，Shaanxi，China
^2.College of Urban and Environmental Sciences，Northwest University，Xi'an 710100，China
^3.Northwest Institute of Eco-Environment and Resources，Chinese Academy of Sciences，Lanzhou 730000，China

Received:2023-02-10 Revised:2023-05-17 Online:2024-01-20 Published:2023-12-26

Abstract

Abstract:

An in-depth understanding of the spatial and temporal pattern of NPP and its influencing factors during the process of desertification reversal is of great scientific significance for the regulation of carbon cycle and the implementation of ecological engineering in desertification reversal zone. This paper estimated the values of NPP in Yulin from 2000 to 2020 using CASA model， and quantitatively analyzed the impact of climate change and human activities on NPP change through difference analysis， trend analysis and correlation analysis. The results showed that：（1） During the desertification reversal process， the values of NPP （calculation in C） of Yulin showed a fluctuating and increasing trend with a rate of 12.39 g·m^-2·a^-1， and displayed a spatial distribution pattern of low west and high east. The area with an increasing trend of changing NPP accounted for 98.4% of the total area of Yulin， and only 1.6% showed a decreasing trend. （2） The correlation between the NPP and the temperature was not significant， but the NPP was positively correlated with precipitation. The influence of human activities on NPP was mainly positive. （3） The change of NPP in the Mu Us Sandy Land in western Yulin was dominated by climate change， showing more sensitive to changes in precipitation. The change of NPP in the central and eastern regions of Yulin was dominated by human activities. The areas dominated by climate change and human activities accounted for 43.1% and 56.9% of the total area of Yulin， respectively. The restoration of vegetation in the sandy area of western Yulin was subject to the supply of water resources， and human activities such as returning farmland to forest in the central and eastern regions have shown a more positive effect on the restoration of vegetation.

Key words: desertification reversal, NPP, climate change, human activities

CLC Number:

Q948

Xiao Feng, Jianjun Qu, Xinhui Ding, Qin Tian, Qingbin Fan. Temporal and spatial pattern of NPP in Yulin and its influencing factors during the desertification reversal[J]. Journal of Desert Research, 2024, 44(1): 22-32.

Figures/Tables 13

References 31

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NPP变化趋势	情景	植被NPP变化主导因素
<0	\|S_PNPP\|<\|S_HNPP\|	人类活动主导的植被NPP减小
<0	\|S_PNPP\|>\|S_HNPP\|	气候变化主导的植被NPP减小
>0	\|S_PNPP\|<\|S_HNPP\|	人类活动主导的植被NPP增加
>0	\|S_PNPP\|>\|S_HNPP\|	气候变化主导的植被NPP增加

NPP变化趋势	情景	植被NPP变化主导因素
<0	\|S_PNPP\|<\|S_HNPP\|	人类活动主导的植被NPP减小
<0	\|S_PNPP\|>\|S_HNPP\|	气候变化主导的植被NPP减小
>0	\|S_PNPP\|<\|S_HNPP\|	人类活动主导的植被NPP增加
>0	\|S_PNPP\|>\|S_HNPP\|	气候变化主导的植被NPP增加

来源	年份	方法	数据来源	榆林市NPP /(g·m^-2·a^-1)	榆林市NPP多年平均值/(g·m^-2·a^-1)	陕西省NPP多年平均值/(g·m^-2·a^-1)
本研究	2000—2020	基于改进的CASA模型	MOD13Q1-NDVI	100~500	336.57
石志华等^[27]	2003—2012	CASA模型	SPOT VGT-NDVI	100~300		418.59
李玲^[28]	2000—2016	CASA模型	MOD13A2-NDVI	100~400		521.77
王钊等^[29]	2000—2015		MOD17A3-NPP	100~200		344.00
朱莹莹等^[13]	2000—2014		MOD17A3-NPP			379.74

来源	年份	方法	数据来源	榆林市NPP /(g·m^-2·a^-1)	榆林市NPP多年平均值/(g·m^-2·a^-1)	陕西省NPP多年平均值/(g·m^-2·a^-1)
本研究	2000—2020	基于改进的CASA模型	MOD13Q1-NDVI	100~500	336.57
石志华等^[27]	2003—2012	CASA模型	SPOT VGT-NDVI	100~300		418.59
李玲^[28]	2000—2016	CASA模型	MOD13A2-NDVI	100~400		521.77
王钊等^[29]	2000—2015		MOD17A3-NPP	100~200		344.00
朱莹莹等^[13]	2000—2014		MOD17A3-NPP			379.74

年份	定边县	榆阳区	横山区	神木市	靖边县	平均值
2000	155.99	166.94	138.23	179.51	180.76	164.29
2001	196.65	192.57	194.26	183.32	212.27	195.81
2002	265.32	236.56	266.51	256.00	273.78	259.63
2003	263.87	249.66	260.09	274.56	282.51	266.14
2004	246.83	247.61	272.25	272.16	295.43	266.86
2005	219.47	226.62	238.10	258.94	267.55	242.14
2006	226.06	234.75	238.20	269.11	279.43	249.51
2007	229.67	264.74	278.45	311.49	287.82	274.43
2008	224.26	273.87	287.41	319.65	293.03	279.64
2009	264.70	272.98	306.45	329.32	329.44	300.58
2010	284.91	288.90	318.69	341.15	332.38	313.21
2011	263.13	285.81	330.10	326.98	341.84	309.57
2012	344.18	337.35	414.04	386.84	404.86	377.45
2013	307.37	343.34	410.23	420.75	396.74	375.69
2014	319.26	338.50	396.27	419.70	406.30	376.01
2015	254.76	315.49	309.39	362.75	324.92	313.46
2016	305.80	346.67	385.59	431.36	371.04	368.09
2017	331.68	380.62	409.23	467.90	418.39	401.56
2018	387.26	388.71	454.57	450.90	446.32	425.55
2019	354.14	388.26	402.37	467.85	414.74	405.47
2020	303.42	373.17	394.42	442.37	407.63	384.20

Temporal and spatial pattern of NPP in Yulin and its influencing factors during the desertification reversal

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