The national forest inventory in China: history - results - international context

Zeng, Weisheng; Tomppo, Erkki; Healey, Sean P.; Gadow, Klaus von

doi:10.1186/s40663-015-0047-2

Cited by 84 publications

(61 citation statements)

References 22 publications

(26 reference statements)

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“…US congress established national forest inventory by the McSweeney-McNary Act of 1928 for estimating the national and regional timber supply (Zeng et al, 2015). FIA research program has been in continuous existence since mandated by Congress in 1928.…”

Section: United Statesmentioning

confidence: 99%

“…Plots are measured rotationally every year. Depending on the state the remeasurement cycle is 5 -10 years (Zeng et al, 2015).…”

Section: United Statesmentioning

confidence: 99%

“…Commonly two dimensional sample grid is used but sample grid varies from province to province (Zeng et al, 2015). Plot size is varied from 2 × 2 km to 8 × 8 km and approximately 415,000 fixed ground plot was established in 7 th NFI across the whole country (FAO, 2007a).…”

Section: Chinamentioning

confidence: 99%

“…Plots shape also varies such as square, circular, and rectangular. More than 90 % of the provinces used square plots, but Tibet used circular plot, while rectangular plots are used in inner Mongolia and in one sub-population of Heilongjiang (Zeng et al, 2015). Sample plots are systematically laid out on the grid dots of topographic maps (scale 1:50,000) (FAO, 2007a).…”

Section: Chinamentioning

confidence: 99%

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Brief history of Korean national forest inventory and academic usage

Park¹,

Han²,

Rahman³

et al. 2016

Korean Journal of Agricultural Science

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The National Forest Inventory (NFI) is important for providing fundamental data for basic forest planning and the establishment of forest policies for the purpose of implementing sustainable forest management. The purpose of this study is to present the development of Korea's NFI including legal basis, sampling design, and measured variables and to review the usage of NFI data. The survey methods and forestry statistics among the Unites States, Canada, Japan, China, and European countries were briefly compared. Total 140 publications utilizing NFI data between 2008 and 2015 were categorized with 15 subjects. Korea has conducted the NFI 6 times since 1971, but only the 6 th NFI is comparable with the fifth, the previous NFI, because the permanent sampling plots have been shared between the periods. The Korean Forestry Statistics contains only half as many variables as that of advanced countries in Forestry. More researches were needed to improve consistent measurement of diverse variables through implementation of advanced technologies. Additional data for Forest Health Monitoring since the NFI 6 th must be under quality control which will be an essential part of the inventories for providing the chronological change of forest health.

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Section: United Statesmentioning

confidence: 99%

“…Plots are measured rotationally every year. Depending on the state the remeasurement cycle is 5 -10 years (Zeng et al, 2015).…”

Section: United Statesmentioning

confidence: 99%

Section: Chinamentioning

confidence: 99%

Section: Chinamentioning

confidence: 99%

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Brief history of Korean national forest inventory and academic usage

Park¹,

Han²,

Rahman³

et al. 2016

Korean Journal of Agricultural Science

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“…However, NFI data always lack stand top height in some countries, such as China [19,20] and Japan [18]. For instance, …”

Section: Introductionmentioning

confidence: 99%

Spatial Autoregressive Models for Stand Top and Stand Mean Height Relationship in Mixed Quercus mongolica Broadleaved Natural Stands of Northeast China

Lou

Zhang

Lei

et al. 2016

Forests

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Abstract:The relationship of stand top and stand mean height is important for forest growth and yield modeling, but it has not been explored for natural mixed forests. Observations of stand top and stand mean height can present spatial dependence or autocorrelation, which should be considered in modeling. Simultaneous autoregressive (SAR) models, including spatial lag model (SLM), spatial Durbin model (SDM) and spatial error model (SEM), within nine spatial weight matrices were utilized to model the stand top and stand mean height relationship in the mixed Quercus mongolica Fisch. ex Ledeb. broadleaved natural stands of Northeast China, using ordinary least squares (OLS) as a benchmark model. The results showed that there was a high linear relationship between stand top and stand mean height and that there was a positive spatial autocorrelation pattern in model residuals of OLS. Moreover, SEM and SDM performed better than OLS in terms of reducing the spatial dependence of model residuals and model fitting, regardless of which spatial weight matrix was used. SEM was better than SDM. SLM scarcely reduced the spatial autocorrelation of model residuals. Among nine spatial matrices in SEM, rook contiguous matrix performed best in model fitting, followed by inverse distances raised to the second power (1/d 2 ) and local statistics model matrix (LSM).

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Within‐site difference in nitrogen status between mixed forests and larch plantations: Evidence from multiple indicators

et al. 2023

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Conversion of natural and secondary mixed forests to plantation monocultures can alter soil physical, chemical, and biological properties, which may lead to changes in ecosystem nitrogen (N) status by altering soil N availability. However, assessing and comparing N status between forest types within and across sites remain challenging because different indicators often yield contradicting conclusions. We developed a multiple‐indicator approach to evaluate N status across sites and between larch monocultures and mixed secondary forests paired at three sites (Daxinganling, Maoershan, and Qingyuan) in northeastern China. The selected indicators were foliar N content (%N), soil carbon‐to‐N ratio (C/N), soil inorganic N, foliar 15N natural abundance (δ15N), and δ15N of bulk soil, ammonium, and nitrate in the soil profiles. Our results, as shown mainly by C/N of soil organic layer and the fraction of nitrate in soil inorganic N, showed that N availability increased from north to south in the order Daxinganling < Maoershan < Qingyuan, along with the increasing climatic (mean annual temperature and mean annual precipitation) and N deposition gradients. We also found that the mixed forests had lower N availability than the larch plantations at the two north sites (Daxinganling and Maoershan), while the opposite was found in the south site (Qingyuan). The site‐specific pattern of N availability in the larch versus mixed stands reflects the difference in their succession and management histories. Our study demonstrated that a multiple‐indicator approach is needed for a comprehensive comparison of the N status of different forest types both within and across sites.

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The national forest inventory in China: history - results - international context

Cited by 84 publications

References 22 publications

Brief history of Korean national forest inventory and academic usage

Brief history of Korean national forest inventory and academic usage

Spatial Autoregressive Models for Stand Top and Stand Mean Height Relationship in Mixed Quercus mongolica Broadleaved Natural Stands of Northeast China

Within‐site difference in nitrogen status between mixed forests and larch plantations: Evidence from multiple indicators

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