Remote sensing monitoring and analysis of the vegetation phenological characteristics of the Qinling Mountains-Huanghuai Plain ecotone from 2002 to 2020

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Abstract

Vegetation phenology shows non-linear and regionally different responses to global changes. Typical differences exist in the climates between the north and the south of the Qinling Mountains. Accordingly, this study investigated the Qinling Mountains - Huanghuai Plain ecotone zone. Based on the MOD09Q1 remote sensing data from 2002 to 2020, this study extracted key parameters of the phenological characteristics of the Qinling Mountains-Huaihe Plain ecotone zone using the adaptive dynamic threshold method. Then, it described in detail the spatio-temporal change process of vegetation phenology in the study area to reveal the spatio-temporal differentiation characteristics. Furthermore, the responses of vegetation phenology to climate changes in the study area were analyzed by combining the temperature data. The study results show that: Significant spatial differentiation characteristics of vegetation phenology existed in the Qinling Mountains - Huanghuai Plain ecotone. Both the start of the growing season (SOS) and the end of the growing season (EOS) of the forest vegetation were later than those of farmland vegetation. Specifically, the SOS and EOS were Day 67-Day 116 and Day 280-Day 340 for forest vegetation and were Day 49-Day 92 and Day 195-Day 328 for farmland vegetation. The length of the growing season (LOS) was 215~262 days for forest vegetation and was 147~261 days for farmland vegetation. In addition, the forest vegetation phenology was affected by altitude. A higher altitude corresponds to a later SOS and an earlier EOS. From 2002 to 2020, the Qinling Mountains-Huaihe Plain ecotone zone generally had early SOS and EOS and shortened LOS. The changing trends of SOS and EOS were -0.14 d·a^-1and -0.78 d·a^-1, respectively for forest vegetation and 0.1 d·a^-1 and -1.43 d·a^-1, respectively for farmland vegetation. The vegetation phenological characteristics of the Qinling Mountains-Huaihe Plain ecotone were significantly correlated with regional temperature, especially the temperatures in March and September. The analysis of the data from the existent observation sites shows that the rising temperature advanced the regional phenophases.

Keywords vegetation phenology Qinling Mountains-Huanghuai Plain ecotone spatio-temporal change remote sensing

ZTFLH:	TP79
	Q948
	X17

Issue Date: 27 December 2022

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	Yating WANG
	Changming ZHU
	Tao ZHANG
	Xin ZHANG
	Zhiyu SHI

Cite this article:

Yating WANG,Changming ZHU,Tao ZHANG, et al. Remote sensing monitoring and analysis of the vegetation phenological characteristics of the Qinling Mountains-Huanghuai Plain ecotone from 2002 to 2020[J]. Remote Sensing for Natural Resources, 2022, 34(4): 225-234.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2021400 OR https://www.gtzyyg.com/EN/Y2022/V34/I4/225

Fig.1 Study area

Fig.2 Typical sample fitting curve of NDVI

Fig.3 Spatial distribution of vegetation phenology in the study area

Fig.4 Spatial distribution of interannual change trend of vegetation phenology in the study area

Fig.5 Annual and seasonal changes of temperature in study area

Tab.1 Correlation coefficient of phenology and temperature at each period

Fig.6 Relationship between the vegetation phenology and the temperature in study area

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