High-resolution maps of vegetation nitrogen density on the Tibetan Plateau: An intensive field-investigation

Li, Xin; Xu, Li; Li, Mingxu; He, Nianpeng

doi:10.1016/j.scitotenv.2023.167233

Cited by 3 publications

(1 citation statement)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, we collected the entire aboveground part of the herbs (Zhang, Li, et al., 2021). The biomass of different plant organs of trees and shrubs were calculated using allometric equations (Luo et al., 2015; Wang et al., 2015; Zhou et al., 2018), and the aboveground and root biomass of herbs was obtained using field weighing (Li, Li, et al., 2023; Li, Xu, et al., 2023). All sampling sites were located in areas with mild or no disturbances.…”

Section: Methodsmentioning

confidence: 99%

Optimal Allocation Strategies of Plant Calcium on Qinghai–Tibetan Plateau

Jiao,

Zhang,

Wang

et al. 2024

JGR Biogeosciences

Self Cite

View full text Add to dashboard Cite

Calcium (Ca) is an essential nutrient for plant growth and development. As Ca plays crucial roles in plant structure and signaling, its allocation strategies among organs can reflect the optimization of plant functions and responses to the environment. However, the allocation strategies and spatial variation of plant Ca at the community level have not been systematically determined on a large scale despite their potential link to ecosystem functions. Here, we mapped community‐level Ca content and density (1 × 1 km) using grid‐investigated data on leaves, branches, trunks, and roots from 680 sampling sites on the Qinghai–Tibetan Plateau (TP). Specifically, the Ca content and density of the leaves, branches, trunks, and roots of TP plants were 10.90, 6.09, 1.85, and 15.62 mg g−1 and 3.29, 17.10, 12.27, and 12.06 g m−2, respectively. Importantly, plant adopted optimal allocation strategies with allocating more Ca to roots in stressed ecosystems to maintain survival while more Ca to leaves in suitable forests for growth, that is the proposed survival/growth‐driven allocation hypothesis. Furthermore, plants optimally absorbed more nutrients in stressed environments for defense, as demonstrated by the higher Ca content and lower Ca use efficiency in deserts and grasslands than in forests. Furthermore, the strong evidence for the proposed hypothesis was the spatial pattern of plant Ca content decreasing from the northwest to the southeast. Our findings reveal the optimal nutrient allocation strategies and provide data support (Ca content and density) for assessing plant nutrient status in different types of ecosystems.

show abstract

Section: Methodsmentioning

confidence: 99%

Optimal Allocation Strategies of Plant Calcium on Qinghai–Tibetan Plateau

Jiao,

Zhang,

Wang

et al. 2024

JGR Biogeosciences

Self Cite

View full text Add to dashboard Cite

show abstract

Phenol identification and mapping of rangeland species at laboratory and landscape scales using PRISMA hyperspectral data

Ghorbani,

Jafari,

Golkar

et al. 2024

International Journal of Remote Sensing

View full text Add to dashboard Cite

Variation of magnesium drives plant adaption to heterogeneous environments by regulating efficiency in photosynthesis on a large scale

Jiao,

Zhang,

et al. 2024

Journal of Ecology

View full text Add to dashboard Cite

Magnesium (Mg) is a vital nutrient for plants, and its role in photosynthesis, enzyme regulation and resistance to environmental stress is becoming increasingly evident. However, there is a paucity of knowledge regarding the characteristics of Mg (content, density and stock) on a large scale, particularly at the community level, which is essential for linking to ecosystem functions. A leaf‐branch‐trunk‐root‐matched database of the Mg content (mg g−1) and biomass density (g m−2) of plant organs across 1972 sampling sites in China was constructed based on field surveys and data compilation. Using machine learning algorithms, we comprehensively explored the spatial patterns and main influencing factors of plant Mg content and density (g m−2). Furthermore, a new index, leaf Mg productivity (LMP), was developed to determine the Mg use efficiency, defined as the ratio of gross primary productivity to leaf Mg density. The Mg contents in the leaves, branches, trunks and roots were 2.80, 0.87, 0.23 and 1.66 mg g−1, respectively. Deserts exhibited higher Mg content, with the primary influencing factors being high temperatures and soil Mg supply. Higher LMP values observed in grasslands and deserts indicate that Mg use is more efficient in these relatively stressful environments, whereas forests require more Mg for unit biomass productivity. This change was driven by the minimum temperature, aridity and soil Mg content. Synthesis. We systematically explored spatial variation in plant community Mg and its correlation with the photosynthetic capacity of plant communities. The aridity and soil Mg content have negative effects on LMP. This suggests that Mg is used more efficiently in photosynthesis under conditions of resource scarcity, indicating that resources become more valuable when they are limited. Photosynthesis in forests is more sensitive to Mg and more Mg is required for biomass production; therefore, Mg is not just a nutrient but a potential bottleneck in optimizing photosynthetic efficiency. Our findings highlight the pivotal role of Mg in photosynthesis and offer a foundation for optimizing ecosystem management through Mg regulation.

show abstract

High-resolution maps of vegetation nitrogen density on the Tibetan Plateau: An intensive field-investigation

Cited by 3 publications

References 49 publications

Optimal Allocation Strategies of Plant Calcium on Qinghai–Tibetan Plateau

Optimal Allocation Strategies of Plant Calcium on Qinghai–Tibetan Plateau

Phenol identification and mapping of rangeland species at laboratory and landscape scales using PRISMA hyperspectral data

Variation of magnesium drives plant adaption to heterogeneous environments by regulating efficiency in photosynthesis on a large scale

Contact Info

Product

Resources

About