The Effect of Drought on Vegetation Gross Primary Productivity under Different Vegetation Types across China from 2001 to 2020
Climate change has exacerbated the frequency and severity of droughts worldwide. Evaluating the response of gross primary productivity (GPP) to drought is thus beneficial to improving our understanding of the impact of drought on the carbon cycle balance. Although many studies have investigated the...
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| Published in: | Remote sensing (Basel, Switzerland) Vol. 14; no. 18; p. 4658 |
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01.09.2022
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| ISSN: | 2072-4292, 2072-4292 |
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| Abstract | Climate change has exacerbated the frequency and severity of droughts worldwide. Evaluating the response of gross primary productivity (GPP) to drought is thus beneficial to improving our understanding of the impact of drought on the carbon cycle balance. Although many studies have investigated the relationship between vegetation productivity and dry/wet conditions, the capability of different drought indices of assessing the influence of water deficit is not well understood. Moreover, few studies consider the effects of drought on vegetation with a focus on periods of drought. Here, we investigated the spatial-temporal patterns of GPP, the standardized precipitation evapotranspiration index (SPEI), and the vapor pressure deficit (VPD) in China from 2001 to 2020 and examined the relationship between GPP and water deficit/drought for different vegetation types. The results revealed that SPEI and GPP were positively correlated over approximately 70.7% of the total area, and VPD was negatively correlated with GPP over about 66.2% of the domain. Furthermore, vegetation productivity was more negatively affected by water deficit in summer and autumn. During periods of drought, the greatest negative impact was on deciduous forests and croplands, and woody savannas were the least impacted. This research provides a scientific reference for developing mitigation and adaptation measures to lessen the impact of drought disasters under a changing climate. |
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| AbstractList | HighlightsTwo drought indices (SPEI and VPD) were used to characterize the degree of dryness/wetness.The water deficit represented by two drought indices was mostly negatively correlated with vegetation GPP, especially in summer and autumn.The negative impact of water deficit/drought as measured by SPEI on vegetation GPP was more severe than that revealed by VPD.During drought, both SPEI and VPD showed that drought had a negative impact on vegetation GPP in North China, Southwest China, and the Qinghai–Tibet Plateau.AbstractClimate change has exacerbated the frequency and severity of droughts worldwide. Evaluating the response of gross primary productivity (GPP) to drought is thus beneficial to improving our understanding of the impact of drought on the carbon cycle balance. Although many studies have investigated the relationship between vegetation productivity and dry/wet conditions, the capability of different drought indices of assessing the influence of water deficit is not well understood. Moreover, few studies consider the effects of drought on vegetation with a focus on periods of drought. Here, we investigated the spatial-temporal patterns of GPP, the standardized precipitation evapotranspiration index (SPEI), and the vapor pressure deficit (VPD) in China from 2001 to 2020 and examined the relationship between GPP and water deficit/drought for different vegetation types. The results revealed that SPEI and GPP were positively correlated over approximately 70.7% of the total area, and VPD was negatively correlated with GPP over about 66.2% of the domain. Furthermore, vegetation productivity was more negatively affected by water deficit in summer and autumn. During periods of drought, the greatest negative impact was on deciduous forests and croplands, and woody savannas were the least impacted. This research provides a scientific reference for developing mitigation and adaptation measures to lessen the impact of drought disasters under a changing climate. Climate change has exacerbated the frequency and severity of droughts worldwide. Evaluating the response of gross primary productivity (GPP) to drought is thus beneficial to improving our understanding of the impact of drought on the carbon cycle balance. Although many studies have investigated the relationship between vegetation productivity and dry/wet conditions, the capability of different drought indices of assessing the influence of water deficit is not well understood. Moreover, few studies consider the effects of drought on vegetation with a focus on periods of drought. Here, we investigated the spatial-temporal patterns of GPP, the standardized precipitation evapotranspiration index (SPEI), and the vapor pressure deficit (VPD) in China from 2001 to 2020 and examined the relationship between GPP and water deficit/drought for different vegetation types. The results revealed that SPEI and GPP were positively correlated over approximately 70.7% of the total area, and VPD was negatively correlated with GPP over about 66.2% of the domain. Furthermore, vegetation productivity was more negatively affected by water deficit in summer and autumn. During periods of drought, the greatest negative impact was on deciduous forests and croplands, and woody savannas were the least impacted. This research provides a scientific reference for developing mitigation and adaptation measures to lessen the impact of drought disasters under a changing climate. |
| Author | Wang, Qianfeng Bento, Virgílio A. Qi, Junyu Leng, Song Wu, Xiaoping Zeng, Jingyu Zhang, Rongrong |
| Author_xml | – sequence: 1 givenname: Xiaoping surname: Wu fullname: Wu, Xiaoping – sequence: 2 givenname: Rongrong orcidid: 0000-0002-1089-1869 surname: Zhang fullname: Zhang, Rongrong – sequence: 3 givenname: Virgílio A. orcidid: 0000-0001-9574-3090 surname: Bento fullname: Bento, Virgílio A. – sequence: 4 givenname: Song orcidid: 0000-0001-6724-9597 surname: Leng fullname: Leng, Song – sequence: 5 givenname: Junyu surname: Qi fullname: Qi, Junyu – sequence: 6 givenname: Jingyu surname: Zeng fullname: Zeng, Jingyu – sequence: 7 givenname: Qianfeng orcidid: 0000-0002-8460-6821 surname: Wang fullname: Wang, Qianfeng |
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| SubjectTerms | Accuracy Agricultural land Autumn Carbon Carbon cycle China climate Climate change Correlation Deciduous forests Drought Drought index Ecology Ecosystems Environmental economics Environmental impact Evapotranspiration Forests GPP Grasslands gross primary productivity Humidity Precipitation Productivity SPEI Summer Topography Vapor pressure vapor pressure deficit Vegetation VPD Water deficit |
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| Title | The Effect of Drought on Vegetation Gross Primary Productivity under Different Vegetation Types across China from 2001 to 2020 |
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