Individual tree biomass equations and growth models sensitive to climate variables for Larix spp. in China

Zeng, Weisheng; Duo, Hairui; Lei, Xiangdong; Chen, Xinyun; Wang, Xuejun; Pu, Ying; Zou, Weixin

doi:10.1007/s10342-017-1024-9

Cited by 70 publications

(34 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The use of stem dbh as the best predictor for the total aboveground biomass corroborates several studies from tropical savannas and forests (Basuki et al 2009;Sawadogo et al 2010;Kuyah et al 2012;Mbow et al 2013) to subtropical ecosystems (Paul et al 2013;Xiang et al 2016;Zeng et al 2017). However, adding tree height as an additional biomass predictor (dbh 2 h) did not improve the TAGB equations, as reported in earlier studies (Henry et al 2010;Picard et al 2015;Djomo et al 2016;Mensah et al 2016a, b).…”

Section: Aboveground Biomass and Dendrometric Relationshipssupporting

confidence: 88%

“…Tropical forests are carbon-rich ecosystems accounting for 55% of terrestrial carbon sinks (Pan et al 2011) with aboveground biomass contributing the major carbon portion (Gibbs et al 2007;Pan et al 2011;Vashum and Jayakumar 2012). Hence, estimating aboveground biomass is critical for monitoring changes in carbon fluxes in tropical forests (Gibbs et al 2007;Vashum and Jayakumar 2012) and assessing energy accumulation and the productivity and sustainability of forest ecosystems (Sawadogo et al 2010;Vashum and Jayakumar 2012;Zeng et al 2017). Biomass can be estimated by direct or indirect methods and remote sensing methods.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Aboveground biomass allometric equations and distribution of carbon stocks of the African oak (Afzelia africana Sm.) in Burkina Faso

et al. 2019

View full text Add to dashboard Cite

The significant role of tropical forest ecosystems in the global carbon budget has increased the need for accurate estimates of tropical forest biomass. The lack of large-scale biomass allometric equations hampers the understanding of the spatial distribution of tree biomass and carbon stocks and their influencing factors in West Africa. This study aimed to develop allometric equations to estimate aboveground biomass of African oak (Afzelia africana Sm.) in Burkina Faso and to analyze factors affecting the variability of tree biomass and carbon storage. Sixty individual trees were destructively sampled in four protected areas along two climatic zones. In each climatic zone, log-log models were tested and fitted to each aboveground biomass component and to the total aboveground biomass. Carbon content in tree aboveground components was evaluated using the ash method. All validated equations showed good fit and performance with high explained variance. Allometric equations differed between the Sudano-sahelian zone and the Sudanian zone, except for leaf biomass equations. Both biomass allocation and carbon content varied significantly between tree components but not between climatic zones. Carbon content in tree components followed the patterns of biomass allocation with branches accounting for the highest proportion. In the two climatic zones, carbon contents were 50.18-52.62% for leaves, 54.78-54.94% for stems and 54.96-55.99% for branches. Dry biomass ranged from 509.05 to 765.56 kg tree-1 at site level and from 620.21 to 624.48 kg tree-1 along climatic zones. Carbon content varied from 53.90% in the Sudano-sahelian zone to 54.39% in the Sudanian zone. This study indicated that climate does not influence aboveground biomass production and carbon sequestration of Afzelia africana along the Sudanosahelian and the Sudanian climatic zones of Burkina Faso. Future studies on climate-growth relationships should contribute to better understanding climate effects on biomass production and carbon storage.

show abstract

Section: Aboveground Biomass and Dendrometric Relationshipssupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Aboveground biomass allometric equations and distribution of carbon stocks of the African oak (Afzelia africana Sm.) in Burkina Faso

et al. 2019

View full text Add to dashboard Cite

show abstract

“…When the effects of future climate change on AGB using the climate-sensitive AGB model developed in the study were analyzed, ideally, the D growth of sample trees should be predicted related to climate change (Zeng et al 2017). The climatic impacts on AGB of each sample tree under climate change scenarios should be then analyzed.…”

Section: Discussionmentioning

confidence: 99%

Integrating regional climate change into allometric equations for estimating tree aboveground biomass of Masson pine in China

Lei

et al. 2017

Annals of Forest Science

Self Cite

View full text Add to dashboard Cite

Abstract& Key message A climate-sensitive aboveground biomass (AGB) equation, in combination with nonlinear mixedeffects modeling and dummy variable approach, was developed to examine how climate change may affect the allometric relationships between tree diameter and biomass. We showed that such changes in allometry need to be taken into account for estimating tree AGB in Masson pine. & Context As a native species and being widely distributed in subtropical China, Masson pine (Pinus massoniana Lamb.) forests play a pivotal role in maintaining forest ecosystem functions and mitigation of carbon concentration increase at the atmosphere. Traditional biomass allometric equations do not account for a potential effect of climate on the diameterbiomass relationships. The amplitude of such an effect remains poorly documented. & Aims We presented a novel method for detecting the longterm (2041-2080) effects of climate change on the diameterbiomass relationships and the potential consequences for long-term changes of biomass accumulation for Masson pine. & Methods Our approach was based on a climate-sensitive AGB model developed using a combined nonlinear mixedeffects model and dummy variable approach. Various climaterelated variables were evaluated for their contributions to model improvement. Heteroscedasticity was accounted for by three residual variance functions: exponential function, power function, and constant plus function. & Results The results showed that diameter at breast height, together with the long-term average of growing season temperature, total growing season precipitation, mean temperature of wettest quarter, and precipitation of wettest quarter, had significant effects on values of AGB. Excessive rain during the growing season and high mean temperature in the wettest quarter reduced the AGB, while a warm growing season and abundant precipitation in the wettest quarter increased the AGB.

show abstract

“…Forest stands included in the data set were restricted to those not recently disturbed by logging, fires or insect pests. Additionally, the following small numbers of special types were excluded: (i) Dahurian larch afforestation in wetland (Li et al, 1985;Song and Li, 1990;Huang, 2011;Cui et al, 2013), pastureland (Duan, 2005) or abandoned mine land (Yang et al, 2013); (ii) hybrid test between Dahurian larch and other larch (Deng et al, 2010;Zhang et al, 2005) and (iii) low-yield stands in hard environments (Wang et al, 1979(Wang et al, , 1991.…”

Section: Data Collection Criteriamentioning

confidence: 99%

Reply for Referee #2

Jia¹

2018

Preprint

View full text Add to dashboard Cite

Dahurian larch (Larix gmelinii Rupr.) is the dominant species in both natural and planted forests in northeast China, which is situated in the southernmost part of the global boreal forest biome and is undergoing great climatically induced changes. Published studies (1965-2015) on tree above-ground growth of Dahurian larch forests in northeast China were collected in this study and critically reviewed, and a comprehensive growth data set was developed from 122 sites, which are distributed between 40.85 and 53.47 • N in latitude, between 118.20 and 133.70 • E in longitude and between 130 and 1260 m in altitude. The data set is composed of 743 entries and includes growth data (mean tree height, mean diameter at breast height (DBH), mean tree volume and/or stand volume) and associated information, i.e., geographical location (latitude, longitude, altitude, aspect and slope), climate (mean annual temperature (MAT) and mean annual precipitation (MAP)), stand description (origin, stand age, stand density and canopy density) and sample regime (observation year, plot area and plot number). It provides a quantitative reference for plantation management practices and boreal forest growth prediction under future climate change. The data set is freely available for noncommercial scientific applications, and the DOI for the data is https://doi.org/10.1594/PANGAEA.880984.

show abstract

Individual tree biomass equations and growth models sensitive to climate variables for Larix spp. in China

Cited by 70 publications

References 48 publications

Aboveground biomass allometric equations and distribution of carbon stocks of the African oak (Afzelia africana Sm.) in Burkina Faso

Aboveground biomass allometric equations and distribution of carbon stocks of the African oak (Afzelia africana Sm.) in Burkina Faso

Integrating regional climate change into allometric equations for estimating tree aboveground biomass of Masson pine in China

Reply for Referee #2

Contact Info

Product

Resources

About