scholarly journals Soil variation response is mediated by growth trajectories rather than functional traits in a widespread pioneer Neotropical tree

2018 ◽  
Author(s):  
Sébastien Levionnois ◽  
Niklas Tysklind ◽  
Eric Nicolini ◽  
Bruno Ferry ◽  
Valérie Troispoux ◽  
...  

AbstractTrait-environment relationships have been described at the community level across tree species. However, whether interspecific trait-environment relationships are consistent at the intraspecific level is yet unknown. Moreover, we do not know how consistent is the response between organ vs. whole-tree level.We examined phenotypic variability for 16 functional leaf (dimensions, nutrient, chlorophyll) and wood traits (density) across two soil types, Ferralitic Soil (FS) vs. White Sands (WS), on two sites for 70 adult trees of Cecropia obtusa Trécul (Urticaceae) in French Guiana. Cecropia is a widespread pioneer Neotropical genus that generally dominates early successional forest stages. To understand how soil types impact resource-use through the processes of growth and branching, we examined the architectural development with a retrospective analysis of growth trajectories. We expect soil types to affect both, functional traits in relation to resource acquisition strategy as already described at the interspecific level, and growth strategies due to resource limitations with reduced growth on poor soils.Functional traits were not involved in the soil response, as only two traits-leaf residual water content and K content-showed significant differences across soil types. Soil effects were stronger on growth trajectories, with WS trees having the slowest growth trajectories and less numerous branches across their lifespan.The analysis of growth trajectories based on architectural analysis improved our ability to characterise the response of trees with soil types. The intraspecific variability is higher for growth trajectories than functional traits for C. obtusa, revealing the complementarity of the architectural approach with the functional approach to gain insights on the way trees manage their resources over their lifetime. Soil-related responses of Cecropia functional traits are not the same as those at the interspecific level, suggesting that the effects of the acting ecological processes are different between the two levels. Apart from soil differences, much variation was found across sites, which calls for further investigation of the factors shaping growth trajectories in tropical forests.

Biotropica ◽  
2021 ◽  
Author(s):  
Shasank Ongole ◽  
Karthik Teegalapalli ◽  
Venkateshwarlu Byrapoghu ◽  
Jayashree Ratnam ◽  
Mahesh Sankaran
Keyword(s):  

2014 ◽  
Vol 63 (1-6) ◽  
pp. 240-243 ◽  
Author(s):  
F. B. Gandara ◽  
E. V. Tambarussi ◽  
Alexandre Magno Sebbenn ◽  
E. M. Ferraz ◽  
M. A. Moreno ◽  
...  

Abstract The timber of the Neotropical tree Cedrela fissilis is used in construction, shipbuilding, carpentry and for medical purposes. In this study, polymorphic microsatellite (SSR) markers derived from an enriched genomic library were characterized using 120 adult trees from four different C. fissilis populations. No substantial genotypic linkage disequilibrium was detected among all possible pairs of SSR loci. The number of alleles per locus ranged from 2 to 20, the average allele number ranged from 8 to 9.7, depending on the population. The observed heterozygosity among the different SSR loci varied from 0.0 to 1.00 , the expected heterozygosity varied from 0.07 to 0.95 On the population level, the average observed and expected heterozygosities ranged from 0.50 to 0.63 and from 0.64 to 0.70, respectively. The average fixation index among populations ranged from 0.09 to 0.24. Thus, the SSR loci revealed high poly - morphism rates and can be used to study the genetic diversity,structure, mating system, and gene flow in C. fissilis.


2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Fabien Wagner ◽  
Vivien Rossi ◽  
Christopher Baraloto ◽  
Damien Bonal ◽  
Clément Stahl ◽  
...  

Climate models predict significant rainfall reduction in Amazonia, reducing water availability for trees. We present how functional traits modulate the tree growth response to climate. We used data from 3 years of bimestrial growth measurements for 204 trees of 53 species in the forest of Paracou, French Guiana. We integrated climate variables from an eddy covariance tower and functional trait values describing life history, leaf, and stem economics. Our results indicated that the measured functional traits are to some extent linked to the response of trees to climate but they are poor predictors of the tree climate-induced growth variation. Tree growth was affected by water availability for most of the species with different species growth strategies in drought conditions. These strategies were linked to some functional traits, especially maximum height and wood density. These results suggest that (i) trees seem adapted to the dry season at Paracou but they show different growth responses to drought, (ii) drought response is linked to growth strategy and is partly explained by functional traits, and (iii) the limited part of the variation of tree growth explained by functional traits may be a strong limiting factor for the prediction of tree growth response to climate.


2009 ◽  
Vol 39 (2) ◽  
pp. 396-409 ◽  
Author(s):  
Christina L. Staudhammer ◽  
Eric J. Jokela ◽  
Timothy A. Martin

Few studies within the native range of loblolly ( Pinus taeda L.) and slash pine ( Pinus elliottii Engelm. var. elliottii) have compared yield and stand dynamics in pure-family block versus mixed-family block plantings under a range of silvicultural treatments. Understanding intergenotypic competitive interactions is important for predicting phenotypic performance, defining growth strategies and ideotypes, and deploying the correct mix of families that possess complementary characteristics for enhanced yield and pest resistance. In 2000, replicated experimental trials were installed in the southeastern United States, controlling for genotype (pure- and mixed-family plantings; consisting of seven full-sibling loblolly and six full-sibling slash pine families), planting density (1334 vs. 2990 trees/ha), and levels of silvicultural treatment intensity (operational vs. intensive). We measured four installations of these trials. There were numerous examples of differential family performance in mixed versus pure plots manifested as significant deployment × family interactions for diameter at breast height, height, basal area, volume, survival, disease, and damage traits. Significant and consistent interactions of several families with mixed versus pure deployment led to the identification of putative crop and competition ideotypes in both loblolly and slash pine. Tree-level crown architectural traits and an index of growth efficiency for the identified families were consistent with the hypothesized ideotypes.


2020 ◽  
Vol 17 (20) ◽  
pp. 4981-4998
Author(s):  
Maitane Iturrate-Garcia ◽  
Monique M. P. D. Heijmans ◽  
J. Hans C. Cornelissen ◽  
Fritz H. Schweingruber ◽  
Pascal A. Niklaus ◽  
...  

Abstract. Plant traits reflect growth strategies and trade-offs in response to environmental conditions. Because of climate warming, plant traits might change, altering ecosystem functions and vegetation–climate interactions. Despite important feedbacks of plant trait changes in tundra ecosystems with regional climate, with a key role for shrubs, information on responses of shrub functional traits is limited. Here, we investigate the effects of experimentally increased permafrost thaw depth and (possibly thaw-associated) soil nutrient availability on plant functional traits and strategies of Arctic shrubs in northeastern Siberia. We hypothesize that shrubs will generally shift their strategy from efficient conservation to faster acquisition of resources through adaptation of leaf and stem traits in a coordinated whole-plant fashion. To test this hypothesis, we ran a 4 year permafrost thaw and nutrient fertilization experiment with a fully factorial block design and six treatment combinations – permafrost thaw (control, unheated cable, heated cable) × fertilization (no nutrient addition, nutrient addition). We measured 10 leaf and stem traits related to growth, defence and the resource economics spectrum in four shrub species (Betula nana, Salix pulchra, Ledum palustre and Vaccinium vitis-idaea), which were sampled in the experimental plots. The plant trait data were statistically analysed using linear mixed-effect models and principal component analysis (PCA). The response to increased permafrost thaw was not significant for most shrub traits. However, all shrubs responded to the fertilization treatment, despite decreased thaw depth and soil temperature in fertilized plots. Shrubs tended to grow taller but did not increase their stem density or bark thickness. We found a similar coordinated trait response for all four species at leaf and plant level; i.e. they shifted from a conservative towards a more acquisitive resource economy strategy upon fertilization. In accordance, results point towards a lower investment into defence mechanisms, and hence increased shrub vulnerability to herbivory and climate extremes. Compared to biomass and height only, detailed data involving individual plant organ traits such as leaf area and nutrient contents or stem water content can contribute to a better mechanistic understanding of feedbacks between shrub growth strategies, permafrost thaw and carbon and energy fluxes. In combination with observational data, these experimental tundra trait data allow for a more realistic representation of tundra shrubs in dynamic vegetation models and robust prediction of ecosystem functions and related climate–vegetation–permafrost feedbacks.


2020 ◽  
Vol 63 (5) ◽  
pp. 1327-1348
Author(s):  
Andrés F. Jiménez ◽  
Brenda V. Ortiz ◽  
Luca Bondesan ◽  
Guilherme Morata ◽  
Damianos Damianidis

HighlightsNARX and LSTM recurrent neural networks were evaluated for prediction of irrigation prescriptions.LSTM neural networks presented the best performance for irrigation scheduling using soil matric potential sensors.NARX neural networks had the best performance for predicting irrigation prescriptions using weather data.High performance for several time-ahead predictions using both recurrent neural networks, with R2 > 0.94.The results can be adopted as a decision-support tool in irrigation scheduling for fields with different types of soils.Abstract. The implementation of adequate irrigation strategies could be done through real-time monitoring of soil water status at several soil depths; however, this could also represent a complex nonlinear problem due to the plant-soil-weather relationships. In this study, two recurrent neural network (RNN) models were evaluated to estimate irrigation prescriptions. Data for this study were collected from an on-farm corn irrigation study conducted between 2017 and 2019 in Samson, Alabama. The study used hourly data of weather and soil matric potential (SMP) monitored at three soil depths from 13 sensor probes installed on a loamy fine sand soil and a sandy clay loam soil. Two neural network methods, i.e., a nonlinear autoregressive with exogenous (NARX) input system and long short-term memory (LSTM), were trained, validated, and tested with a maximum dataset of 20,052 records and a maximum of eight categorical attributes to estimate one-step irrigation prescriptions. The performance of both methods was evaluated by varying the model development parameters (neurons or blocks, dropout, and epochs) and determining their impact on the final model prediction. Results showed that both RNN models demonstrated good capability in the prediction of irrigation prescriptions for the soil types studied, with a coefficient of determination (R2) > 0.94 and root mean square error (RMSE) < 1.2 mm. The results of this study indicate that after training the RNNs using the dataset collected in the field, models using only SMP sensors at three soil depths obtained the best performance, followed by models that used only data of solar radiation, temperature, and relative humidity in the prediction of irrigation prescriptions. For future applicability, the RNN models can be extended using datasets from other places for training, which would allow the adoption of a unique data-driven soil moisture model for irrigation scheduling useful in a wide range of soil types. Keywords: Corn, Irrigation scheduling, Machine learning, Modeling, Soil matric potential sensor.


Forests ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 774 ◽  
Author(s):  
Wensheng Bu ◽  
Cancan Zhang ◽  
Jihong Huang ◽  
Runguo Zang ◽  
Yi Ding ◽  
...  

Research Highlights: We try to evaluate the relative contribution of environmental factors and functional traits on aboveground biomass in a species rich tropical forest ecosystem after a 40-years natural recovery. Background and Objectives: Functional traits have a potential to incorporate community dynamics into the impacts of disturbance histories or environmental conditions on ecosystem functioning, but few studies have been conducted to understand these processes. Materials and Methods: We measured plant functional traits and soil properties in the tropical montane rainforests on Hainan Island, China, which had experienced different disturbance histories (clear cutting, selective logging, and old-growth) 40 years ago. A structural equation model was used to elucidate how disturbance histories and soil factors influence aboveground biomass (AGB) across different size classes (saplings, treelets, and adult trees) through plant functional traits. Results: The results demonstrated logging stimulated seedling establishment but decreased AGB of adult trees and wood density at community-level (CWM_WD) of sapling and adult tree. Generally, CWM_WD of sapling, treelet, and adult tree decreased linearly with the increasing of specific leaf area at community-level (CWM_SLA) in old-growth forest and these two disturbed forests. Moreover, CWM_SLA explained more variation of CWM_WD with increasing intensity of logging within sapling, treelet, and adult tree. CWM_SLA and CWM_WD not only responded to environmental conditions and disturbance intensity but also affected AGB in all size classes; meanwhile, CWM_SLA was a major driver of AGB. CWM_SLA had a stronger effect on AGB in sapling and treelet classes than on the adult tree class. Conclusions: Our results suggested that disturbance history and environmental factors could directly or indirectly affect ecosystem functioning through plant functional traits. Functional traits always had a stronger effect on AGB than environmental conditions. Moreover, CWM_SLA is a key trait that can be used to link the relationship between environmental conditions and AGB.


1946 ◽  
Vol 1946 (02) ◽  
pp. 20-25
Author(s):  
Arthur Ward

In New Zealand, herd recording, since the introduction of the Herd Improvement Plan in 1938, has been governed in policy by the Herd Recording Council in Wellington. In 1938 the decision was taken to extend the scope of the milk recording movement so that milk records could be used for:— (1) improvement through breeding; (2) studies on farm management, including the prevention of disease in dairy herds; and (3) studies on problems of nutrition on dairy farms, em-bracing not only the feeding of dairy cattle and young stock, but also such matters as the influence of soil types, pasture species, etc. There are six Herd Improvement Associations and a representative of each Association is elected annually to the Herd Recording Council with full voting power.


Author(s):  
Sunil Chopra ◽  
Sudhir Arni ◽  
Jacqueline Tan ◽  
Ilya Trakhtenberg

Winner of the 2014 EFMD competition for best case on Indian Management Issues and Opportunities.After a highly successful third round of funding in 2012, Gaurav Jain, founder of quick service restaurant chain Mast Kalandar, was looking to expand. In addition to opening new stores in other cities, Jain was also hoping to increase the profitability of his existing stores in Bangalore, Hyderabad, Chennai, and Pune. He needed to fully understand the financials of his current operations and identify the key drivers of success at the stores, at both the city and corporate levels. With this understanding, he would be able to evaluate how best to improve the performance of existing outlets and to choose an entry strategy for new cities. Students are asked to develop a financial model for outlets and use it to compare different growth strategies.After analyzing this case, students will be able to: Assess the strategic and operational tradeoffs being made by the CEO of a company in a growing foodservice sector of an emerging market as he establishes and grows his enterprise Build a financial model for outlet operations that identifies key drivers of performance and allows for a comparison between different growth strategies Strategically prioritize growth opportunities for a company in response to an influx of new capita


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