APAR is a better predictor than LUE of the stem growth differences found between Loblolly pine grown in the United State and Brazil

IF 6.6 1区 农林科学 Q1 AGRONOMY
Agricultural and Forest Meteorology Pub Date : 2026-03-01 Epub Date: 2025-12-13 DOI:10.1016/j.agrformet.2025.110964
Lorena Oliveira Barbosa , Otávio Camargo Campoe , José Roberto Soares Scolforo , Henrique Ferraço Scolforo , Timothy J. Albaugh , Rachel Cook , Rafael Rubilar , Juscelina Arcanjo Santos
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Abstract

Pinus taeda is a species native to southeastern regions of the United State (USA), but plantations with the highest productivity are found in the southern region of Brazil (BRA). The objective of our study was to determine the higher (Light Use Efficiency) LUE and absorbed photosynthetically active radiation (APAR) of P. taeda genotypes with different spacings in order to evaluate potential strategies that could increase the productivity of intensively managed stands in Brazil and the United States. The experiment was designed as a split-split-plot, and evaluations included 81 trees in BRA and 63 trees in the USA, two genotypes (clone C3 vs. open pollination (OP)) and two spacings (BRA – 2.4 × 6.8 m, 613 trees/ha; USA – 3.66 × 4.42 m, 618 trees/ha) and narrow spacing (BRA – 2.4 × 2.2 m, 1894 trees/ha; USA – 3.66 × 1.47 m, 1853 trees/ha). Individual tree calculations of LUE were made at both locations for each tree by dividing its current annual stem increment (WNPPi) by APAR estimated from MAESTRA, a process-based model. The parameterization of this model included the use of forest inventory data, meteorological data, crown characteristics (average crown radius, height, diameter, and leaf area), leaf area density distribution, leaf transmittance, and leaf and soil reflectance. Results showed that trees growing in Brazil had greater leaf area (32%) and stem biomass growth (5%) and absorbed more light (49%) than trees in the USA. The genotype C3 was more efficient than OP in light use at both locations. Narrow spacing resulted in higher LUE values (0,8 g MJ-1). APAR explain 80% and 65% of WNPP in BRA and USA, respective. Our results suggest that LUE explained the growth differences between sites, genotypes, and spacings, while APAR provided a better differentiation of WNPP between the sites.
APAR比LUE更能预测美国和巴西火炬松的茎生长差异
红松原产于美国东南部地区,但产量最高的人工林分布在巴西南部地区(BRA)。本研究的目的是确定不同间距下紫杉树基因型的较高(光利用效率)LUE和吸收光合有效辐射(APAR),以评估提高巴西和美国集约经营林分生产力的潜在策略。试验采用裂裂样地设计,包括81株BRA树和63株美国树,两种基因型(C3无性系vs开放授粉(OP)),两种间距(BRA - 2.4 × 6.8 m, 613株/ha;美国- 3.66 × 4.42 m, 618株/ha)和窄间距(BRA - 2.4 × 2.2 m, 1894株/ha;美国- 3.66 × 1.47 m, 1853株/ha)。通过将每棵树当前的年干增量(WNPPi)除以MAESTRA(一个基于过程的模型)估计的APAR,在两个地点对每棵树的LUE进行了单独的计算。该模型的参数化包括利用森林清查数据、气象数据、树冠特征(平均树冠半径、树冠高度、树冠直径和叶面积)、叶面积密度分布、叶片透光率以及叶片和土壤反射率。结果表明,生长在巴西的树木比生长在美国的树木具有更大的叶面积(32%)和茎生物量(5%),吸收更多的光(49%)。C3基因型在两个地点的光能利用效率均高于OP基因型。较窄的间距导致较高的LUE值(0.8 g MJ-1)。APAR分别解释了BRA和美国80%和65%的WNPP。我们的结果表明,LUE解释了不同位点、基因型和间距之间的生长差异,而APAR提供了更好的WNPP在不同位点之间的分化。
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来源期刊
CiteScore
10.30
自引率
9.70%
发文量
415
审稿时长
69 days
期刊介绍: Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published. Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.
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