Lagged precipitation effect on plant productivity is influenced collectively by climate and edaphic factors in drylands

He, Lei; Li, Zhao-Liang; Wang, Xunming; Xie, Yaowen; Ye, Jian‐Sheng

doi:10.1016/j.scitotenv.2020.142506

Cited by 11 publications

(2 citation statements)

References 62 publications

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“…The effects of the rainfall are variable and depend on the species present in the ecosystem [71]. The rainfall aids in the biophysical processes of the vegetation [72,73]. It is noteworthy that the association of lower rainfall with high evapotranspiration rates contributes to increased stress in plants [74].…”

Section: Discussionmentioning

confidence: 99%

Interactions of Environmental Variables and Water Use Efficiency in the Matopiba Region via Multivariate Analysis

et al. 2022

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This study aimed to evaluate the interaction of environmental variables and Water Use Efficiency (WUE) via multivariate analysis to understand the importance of each variable in the carbon–water balance in MATOPIBA. Principal Component Analysis (PCA) was applied to reduce spatial dimensionality and to identify patterns by using the following data: (i) LST (MOD11A2) and WUE (ratio between GPP-MOD17A2 and ET-MOD16A2), based on MODIS orbital products; (ii) Rainfall based on CHIRPS precipitation product; (iii) slope, roughness, and elevation from the GMTED and SRTM version 4.1 products; and (iv) geographic data, Latitude, and Longitude. All calculations were performed in R version 3.6.3 and Quantum GIS (QGIS) version 3.4.6. Eight variables were initially used. After applying the PCA, only four were suitable: Elevation, LST, Rainfall, and WUE, with values greater than 0.7. A positive correlation (≥0.78) between the variables (Elevation, LST, and Rainfall) and vegetation was identified. According to the KMO test, a series-considered medium was obtained (0.7 < KMO < 0.8), and it was explained by one PC (PC1). PC1 was explained by four variables (Elevation, LST, Rainfall, and WUE), among which WUE (0.8 < KMO < 0.9) was responsible for detailing 65.77% of the total explained variance. Positive scores were found in the states of Maranhão and Tocantins and negative scores in Piauí and Bahia. The positive scores show areas with greater Rainfall, GPP, and ET availability, while the negative scores show areas with greater water demand and LST. It was concluded that variations in variables such as Rainfall, LST, GPP, and ET can influence the local behavior of the carbon–water cycle of the vegetation, impacting the WUE in MATOPIBA.

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Section: Discussionmentioning

confidence: 99%

Interactions of Environmental Variables and Water Use Efficiency in the Matopiba Region via Multivariate Analysis

et al. 2022

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“…Because the densely distributed grassland areas were all in semi-arid areas, the water availability in semi-arid areas was strong, and precipitation was absorbed by the soil and used by plants quickly. Water availability is a decisive factor affecting the function of semi-arid ecosystems (He et al, 2021). According to Table 1, climate zones I and II were semi-humid regions, whereas climate zones IV and V were humid regions with abundant precipitation.…”

Section: Spatio-temporal Ndvi Response Of Different Vegetation Types ...mentioning

confidence: 99%

The different vegetation types responses to potential evapotranspiration and precipitation in China

Liu,

Wei,

Zhu

et al. 2024

Front. Environ. Sci.

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Global climate change is considered one of the greatest environmental threats in the world. It is expected to significantly change the global hydrological cycle. The two main water cycle components, potential evapotranspiration (PET) and precipitation (P), are closely related to vegetation dynamics. In this study, the partial correlation analysis method was used to analyzed the relationship between Normalized Difference Vegetation Index (NDVI) and climate factors (PET and P) based on grid cells. PET was calculated by FAO-56 Penman–Monteith method. Moreover, we also investigated the NDVI and climate factors in different vegetation cover types. The results showed that grassland, forest and cropland in China were positively correlated with PET and P. The time scales of the maximum partial correlation coefficients between NDVI and PET of grassland vegetation were mostly longer than 5–6 months. These time scales were longer than the time scales related to P. The partial correlation coefficients between NDVI and PET, P of forest vegetation were higher in northern China, whereas the spatial distribution of related time scales was the opposite. The partial correlation coefficients between NDVI and PET, P of forest vegetation were higher in northern China. However, the spatial distribution of related time scales was the opposite. The correlations between NDVI and PET, P of cropland vegetation and the time scales related to PET had clear spatial heterogeneity. The time scale of the correlation between NDVI and P for cropland in the northern China was about 2 months. P had a strong influence on the growth of various types of vegetation in the study area, and grassland vegetation was affected by P over the shortest time scale. We compare and analyze the results of this study with other related studies. These results provide a reference for exploring the dynamic changes in different vegetation types and factors impacting them.

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Soil nematode biodiversity mediates the impact of altered precipitation on dryland agroecosystem multifunctionality in the loess tableland area of China

Huang,

Chen,

Huang

et al. 2024

Agriculture, Ecosystems & Environment

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Lagged precipitation effect on plant productivity is influenced collectively by climate and edaphic factors in drylands

Cited by 11 publications

References 62 publications

Interactions of Environmental Variables and Water Use Efficiency in the Matopiba Region via Multivariate Analysis

Interactions of Environmental Variables and Water Use Efficiency in the Matopiba Region via Multivariate Analysis

The different vegetation types responses to potential evapotranspiration and precipitation in China

Soil nematode biodiversity mediates the impact of altered precipitation on dryland agroecosystem multifunctionality in the loess tableland area of China

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