Chemical fertility of forest ecosystems. Part 1: Common soil chemical analyses were poor predictors of stand productivity across a wide range of acidic forest soils

Autor: Claude Nys, Arnaud Legout, Jean-Paul Laclau, Gregory van der Heijden, Karna Hansson, Manuel Nicolas, Laurent Saint-André, Louis Mareschal, Jacques Ranger
Přispěvatelé: Unité de recherche Biogéochimie des Ecosystèmes Forestiers (BEF), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Office National des Forêts (ONF), Office National des Forêts, the Région Lorraine, GIP ECOFOR, AnaEE France, the FEDER, LTER-ZAM (Zone Atelier Moselle), ANR-11-LABX-0002,ARBRE,Recherches Avancées sur l'Arbre et les Ecosytèmes Forestiers(2011)
Rok vydání: 2020
Předmět:
[SDV.SA]Life Sciences [q-bio]/Agricultural sciences
0106 biological sciences
Biogeochemical cycle
F40 - Écologie végétale
Production forestière
F62 - Physiologie végétale - Croissance et développement
Management
Monitoring
Policy and Law
Soil fertility
010603 evolutionary biology
01 natural sciences
Écologie forestière
Stand productivity
[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry
Fertilité du sol
Soil pH
K01 - Foresterie - Considérations générales
Biomasse
Forest ecology
Forest ecosystem
Temperate climate
Nutrient stocks
QD
Croissance
SD
Nature and Landscape Conservation
Biomass (ecology)
GE
P35 - Fertilité du sol
Sol acide
Forestry
15. Life on land
Productivity (ecology)
Forêt
Soil water
Soil indicator
Environmental science
010606 plant biology & botany
Zdroj: Forest Ecology and Management
Forest Ecology and Management, Elsevier, 2020, 461, pp.117843. ⟨10.1016/j.foreco.2019.117843⟩
ISSN: 0378-1127
DOI: 10.1016/j.foreco.2019.117843
Popis: Forest soil fertility can be defined as a combination of physical, chemical and biological factors characterising the biomass production capacity of the soil. However, numerous ecological variables affect tree growth and the aim of the present study was to investigate the specific influence of soil chemical properties on tree productivity at 49 acidic forest sites. A standardized tree productivity index based on tree height expressed as dominant height of the studied stand divided by maximum tree height observed at the same age for the same species in the same climatic region was firstly computed at each site. This index is assumed to limit the influence of species, ages and climate. A soil database was also compiled with data on soil properties from 47 temperate (France) and two tropical (Congo, Brazil) sites. Data included seven tree species, varying in age from 1 to 175 years. Commonly used indicators such as C:N ratio, soil pH, as well as available and total pools of soil nutrients were compared to the standardized tree productivity index, to find the most reliable indicator(s). Nutrient pools at fixed mineral soil depths (down to 100 cm) were used, as well as (for 11 stands) the depth comprising 95% of fine roots. Our results show that none of the common soil chemical parameters tested in this paper could individually explain stand productivity. Combinations of different parameters were also tested using PCA and they could better explain the variability of the data set but without being able to separate the sites according to their standardized tree productivity index. Moreover, random Forests performed on our dataset were unable to properly predict the standardized tree productivity index. Our results reinforce the idea that the influence of the soil chemical fertility on stand productivity is complex and the soil chemical parameters alone (individually or combined) are poor predictors of tree productivity as assessed by the H0:Hmax index. In this paper we focused on static soil chemical indicator and more dynamic indictors, such as nutrient fluxes involved in the biogeochemical cycles, could better explain stand productivity. A companion paper (Legout et al., 2020) focuses on the connection between productivity and different components of the biogeochemical cycle, using data from 11 of the stands presented in this paper.
Databáze: OpenAIRE
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