An integrated index based on climatic constraints and soil quality to simulate vegetation productivity patterns

Vegetation productivity simulation at large scales has become an important issue as it reflects the spatial difference of ecosystem carbon sequestration. Vegetation productivity patterns are generally controlled by environmental factors such as climate and soil. However, most of the current models f...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Shoubao Geng, Wei Li, Tingting Kang, Peili Shi, Wanrui Zhu
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Vegetation productivity pattern Climatic constraint Soil quality Water-temperature-soil index Vegetation type Spatial classification Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/1dd986fc606f4ffdacb1fdd29b47f076
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:1dd986fc606f4ffdacb1fdd29b47f076
record_format	dspace
spelling	oai:doaj.org-article:1dd986fc606f4ffdacb1fdd29b47f0762021-12-01T04:57:59ZAn integrated index based on climatic constraints and soil quality to simulate vegetation productivity patterns1470-160X10.1016/j.ecolind.2021.108015https://doaj.org/article/1dd986fc606f4ffdacb1fdd29b47f0762021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21006804https://doaj.org/toc/1470-160XVegetation productivity simulation at large scales has become an important issue as it reflects the spatial difference of ecosystem carbon sequestration. Vegetation productivity patterns are generally controlled by environmental factors such as climate and soil. However, most of the current models focus on climatic limitations on productivity, whereas soil restrictions have been rarely considered. Moreover, some models are too sophisticated to exert their applications. In this study, we integrated vapor pressure deficit, minimum temperature, and soil quality into a simple water-temperature-soil index (WTSI) to simulate vegetation productivity patterns, and identified the spatial classification of the three environmental constraints on productivity in the Taihang Mountains. Results showed that WTSI was significantly correlated with NDVI at both annual and seasonal scales and the integration of soil quality and climatic constraints could greatly increase the accuracy of productivity simulation except for summer, indicating that WTSI was highly effective to model vegetation productivity patterns. The spatial patterns of WTSI presented three distinct regions with a descending trend of the averaged WTSI values from the southern to the northern and then to the central part of the study area, suggesting that the constraints of water, temperature, and soil factors were minimum in the south but maximum in the center for vegetation. The seasonal dynamics of WTSI depended on the cyclic variations of hydrothermal conditions from nearly unconstrained in summer to almost completely restricted in winter for plant growth, with spring and autumn as transition periods. WTSI and NDVI generally had similar variation trends along elevation gradients but diverse performances among vegetation types with more consistencies for forests, shrubs, and steppes than meadows and crops. WTSI was significantly correlated with NDVI for all vegetation types with comparable correlation coefficients (R2) for forests (0.73), shrubs (0.70), and steppes (0.72), followed by crops (0.57) and meadows (0.41). RGB composite and spatial classification of the three environmental constraints illustrated that water-limited regions were mainly distributed in the southern and eastern basins and piedmont plains, and low-temperature stress mostly occurred in the northern and central regions with high elevations, and most of the south-central regions were largely controlled by soil quality. Thus, spatially explicit strategies and practices could be accordingly proposed for ecosystem conservation and management.Shoubao GengWei LiTingting KangPeili ShiWanrui ZhuElsevierarticleVegetation productivity patternClimatic constraintSoil qualityWater-temperature-soil indexVegetation typeSpatial classificationEcologyQH540-549.5ENEcological Indicators, Vol 129, Iss , Pp 108015- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Vegetation productivity pattern Climatic constraint Soil quality Water-temperature-soil index Vegetation type Spatial classification Ecology QH540-549.5
spellingShingle	Vegetation productivity pattern Climatic constraint Soil quality Water-temperature-soil index Vegetation type Spatial classification Ecology QH540-549.5 Shoubao Geng Wei Li Tingting Kang Peili Shi Wanrui Zhu An integrated index based on climatic constraints and soil quality to simulate vegetation productivity patterns
description	Vegetation productivity simulation at large scales has become an important issue as it reflects the spatial difference of ecosystem carbon sequestration. Vegetation productivity patterns are generally controlled by environmental factors such as climate and soil. However, most of the current models focus on climatic limitations on productivity, whereas soil restrictions have been rarely considered. Moreover, some models are too sophisticated to exert their applications. In this study, we integrated vapor pressure deficit, minimum temperature, and soil quality into a simple water-temperature-soil index (WTSI) to simulate vegetation productivity patterns, and identified the spatial classification of the three environmental constraints on productivity in the Taihang Mountains. Results showed that WTSI was significantly correlated with NDVI at both annual and seasonal scales and the integration of soil quality and climatic constraints could greatly increase the accuracy of productivity simulation except for summer, indicating that WTSI was highly effective to model vegetation productivity patterns. The spatial patterns of WTSI presented three distinct regions with a descending trend of the averaged WTSI values from the southern to the northern and then to the central part of the study area, suggesting that the constraints of water, temperature, and soil factors were minimum in the south but maximum in the center for vegetation. The seasonal dynamics of WTSI depended on the cyclic variations of hydrothermal conditions from nearly unconstrained in summer to almost completely restricted in winter for plant growth, with spring and autumn as transition periods. WTSI and NDVI generally had similar variation trends along elevation gradients but diverse performances among vegetation types with more consistencies for forests, shrubs, and steppes than meadows and crops. WTSI was significantly correlated with NDVI for all vegetation types with comparable correlation coefficients (R2) for forests (0.73), shrubs (0.70), and steppes (0.72), followed by crops (0.57) and meadows (0.41). RGB composite and spatial classification of the three environmental constraints illustrated that water-limited regions were mainly distributed in the southern and eastern basins and piedmont plains, and low-temperature stress mostly occurred in the northern and central regions with high elevations, and most of the south-central regions were largely controlled by soil quality. Thus, spatially explicit strategies and practices could be accordingly proposed for ecosystem conservation and management.
format	article
author	Shoubao Geng Wei Li Tingting Kang Peili Shi Wanrui Zhu
author_facet	Shoubao Geng Wei Li Tingting Kang Peili Shi Wanrui Zhu
author_sort	Shoubao Geng
title	An integrated index based on climatic constraints and soil quality to simulate vegetation productivity patterns
title_short	An integrated index based on climatic constraints and soil quality to simulate vegetation productivity patterns
title_full	An integrated index based on climatic constraints and soil quality to simulate vegetation productivity patterns
title_fullStr	An integrated index based on climatic constraints and soil quality to simulate vegetation productivity patterns
title_full_unstemmed	An integrated index based on climatic constraints and soil quality to simulate vegetation productivity patterns
title_sort	integrated index based on climatic constraints and soil quality to simulate vegetation productivity patterns
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/1dd986fc606f4ffdacb1fdd29b47f076
work_keys_str_mv	AT shoubaogeng anintegratedindexbasedonclimaticconstraintsandsoilqualitytosimulatevegetationproductivitypatterns AT weili anintegratedindexbasedonclimaticconstraintsandsoilqualitytosimulatevegetationproductivitypatterns AT tingtingkang anintegratedindexbasedonclimaticconstraintsandsoilqualitytosimulatevegetationproductivitypatterns AT peilishi anintegratedindexbasedonclimaticconstraintsandsoilqualitytosimulatevegetationproductivitypatterns AT wanruizhu anintegratedindexbasedonclimaticconstraintsandsoilqualitytosimulatevegetationproductivitypatterns AT shoubaogeng integratedindexbasedonclimaticconstraintsandsoilqualitytosimulatevegetationproductivitypatterns AT weili integratedindexbasedonclimaticconstraintsandsoilqualitytosimulatevegetationproductivitypatterns AT tingtingkang integratedindexbasedonclimaticconstraintsandsoilqualitytosimulatevegetationproductivitypatterns AT peilishi integratedindexbasedonclimaticconstraintsandsoilqualitytosimulatevegetationproductivitypatterns AT wanruizhu integratedindexbasedonclimaticconstraintsandsoilqualitytosimulatevegetationproductivitypatterns
_version_	1718405648547315712

An integrated index based on climatic constraints and soil quality to simulate vegetation productivity patterns

Ejemplares similares