173 related articles for article (PubMed ID: 30411557)
1. [Stand-level biomass estimation models for the tree layer of main forest types in East Daxing'an Mountains, China.].
Dong LH; Li FR
Ying Yong Sheng Tai Xue Bao; 2018 Sep; 29(9):2825-2834. PubMed ID: 30411557
[TBL] [Abstract][Full Text] [Related]
2. [Error structure and additivity of individual tree biomass model for four natural conifer species in Northeast China].
Dogn LH; Li FR; Song YW
Ying Yong Sheng Tai Xue Bao; 2015 Mar; 26(3):704-14. PubMed ID: 26211050
[TBL] [Abstract][Full Text] [Related]
3. [Comparison of three stand-level biomass estimation methods].
Dong LH; Li FR
Ying Yong Sheng Tai Xue Bao; 2016 Dec; 27(12):3862-3870. PubMed ID: 29704344
[TBL] [Abstract][Full Text] [Related]
4. [Additive aboveground biomass equations based on different predictors for natural Tilia Linn].
Wang JH; Li FR; Dong LH
Ying Yong Sheng Tai Xue Bao; 2018 Nov; 29(11):3685-3695. PubMed ID: 30460816
[TBL] [Abstract][Full Text] [Related]
5. [Carbon storage of forest vegetation and allocation for main forest types in the east of Da-xing'an Mountains based on additive biomass model].
Peng W; Dong LH; Li FR
Ying Yong Sheng Tai Xue Bao; 2016 Dec; 27(12):3749-3758. PubMed ID: 29704331
[TBL] [Abstract][Full Text] [Related]
6. Efficacy of generic allometric equations for estimating biomass: a test in Japanese natural forests.
Ishihara MI; Utsugi H; Tanouchi H; Aiba M; Kurokawa H; Onoda Y; Nagano M; Umehara T; Ando M; Miyata R; Hiura T
Ecol Appl; 2015 Jul; 25(5):1433-46. PubMed ID: 26485966
[TBL] [Abstract][Full Text] [Related]
7. [Biomass allometric equations of nine common tree species in an evergreen broadleaved forest of subtropical China].
Zuo SD; Ren Y; Weng X; Ding HF; Luo YJ
Ying Yong Sheng Tai Xue Bao; 2015 Feb; 26(2):356-62. PubMed ID: 26094447
[TBL] [Abstract][Full Text] [Related]
8. [Individual tree diameter increment model for natural Betula platyphylla forests based on meteorological factors].
Zhang HP; Li FR; Dong LH; Liu Q
Ying Yong Sheng Tai Xue Bao; 2017 Jun; 28(6):1851-1859. PubMed ID: 29745147
[TBL] [Abstract][Full Text] [Related]
9. [Analysis of carbon concentration and allometric growth model of carbon content for
Zhang Y; Xie LF; Dong LH
Ying Yong Sheng Tai Xue Bao; 2022 May; 33(5):1166-1174. PubMed ID: 35730073
[TBL] [Abstract][Full Text] [Related]
10. Critical analyses when modeling tree biomass to ensure additivity of its components.
Behling A; Péllico Netto S; Sanquetta CR; Corte APD; Affleck DLR; Rodrigues AL; Behling M
An Acad Bras Cienc; 2018; 90(2):1759-1774. PubMed ID: 29791562
[TBL] [Abstract][Full Text] [Related]
11. Compatibility predictive model for regeneration quantities of
Xiao C; Tian DY; Ma R; Dong LB
Ying Yong Sheng Tai Xue Bao; 2023 Sep; 34(9):2345-2354. PubMed ID: 37899099
[TBL] [Abstract][Full Text] [Related]
12. Aboveground biomass allocation, additive biomass and carbon sequestration models for
Ganamé M; Bayen P; Dimobe K; Ouédraogo I; Thiombiano A
Heliyon; 2020 Apr; 6(4):e03805. PubMed ID: 32368649
[TBL] [Abstract][Full Text] [Related]
13. Allometric biomass equations for 12 tree species in coniferous and broadleaved mixed forests, Northeastern China.
He H; Zhang C; Zhao X; Fousseni F; Wang J; Dai H; Yang S; Zuo Q
PLoS One; 2018; 13(1):e0186226. PubMed ID: 29351291
[TBL] [Abstract][Full Text] [Related]
14. [Comparison of artificial neural network with compatible biomass model for predicting aboveground biomass of individual tree].
Liang RT; Wang YF; Qiu SY; Sun YJ; Xie YH
Ying Yong Sheng Tai Xue Bao; 2022 Jan; 33(1):9-16. PubMed ID: 35224920
[TBL] [Abstract][Full Text] [Related]
15. [Compatible biomass estimation models of natural forests in Changbai Mountains based on forest inventory].
Xing YQ; Wang LH
Ying Yong Sheng Tai Xue Bao; 2007 Jan; 18(1):1-8. PubMed ID: 17396491
[TBL] [Abstract][Full Text] [Related]
16. [Crown width model for planted Korean pine in eastern Liaoning mountains based on mixed effect linear quantile].
Tong YW; Chen DS; Feng J; Gao HL
Ying Yong Sheng Tai Xue Bao; 2022 Sep; 33(9):2321-2330. PubMed ID: 36131646
[TBL] [Abstract][Full Text] [Related]
17. The accuracy of species-specific allometric equations for estimating aboveground biomass in tropical moist montane forests: case study of Albizia grandibracteata and Trichilia dregeana.
Daba DE; Soromessa T
Carbon Balance Manag; 2019 Dec; 14(1):18. PubMed ID: 31858282
[TBL] [Abstract][Full Text] [Related]
18. Models for Predicting the Biomass of Cunninghamialanceolata Trees and Stands in Southeastern China.
Guangyi M; Yujun S; Saeed S
PLoS One; 2017; 12(1):e0169747. PubMed ID: 28095512
[TBL] [Abstract][Full Text] [Related]
19. [Stand biomass model for
Xin SD; Yan YX; Jiang LC
Ying Yong Sheng Tai Xue Bao; 2020 Oct; 31(10):3322-3330. PubMed ID: 33314821
[TBL] [Abstract][Full Text] [Related]
20. MODIS Based Estimation of Forest Aboveground Biomass in China.
Yin G; Zhang Y; Sun Y; Wang T; Zeng Z; Piao S
PLoS One; 2015; 10(6):e0130143. PubMed ID: 26115195
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
