Aboveground biomass estimation models for Tectona grandis Linn f. plantation in Nnamdi Azikiwe University, Awka, Nigeria

Onyekachi Chukwu

Makale detayları

Aboveground biomass estimation models for Tectona grandis Linn f. plantation in Nnamdi Azikiwe University, Awka, Nigeria

Yazarlar:

Onyekachi Chukwu

Yayıncı:

Isparta University of Applied Sciences

Ana Başlıklar:

Orman Biyokütlesi ve Biyoürünleri | Orman Biyometrisi

Dergi:

Turkish Journal of Forestry Vol.25 Issue 3, pp.244-248

Belge Tipi:

Makale

Yayın Tarihi:

9/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001328823

pISSN:

2149-3898

Anahtar kelimeler:

Özet:

 Tree biomass is considered a useful indicator of structural and functional attributes of forest ecosystems across a wide range of environmental conditions. The aboveground biomass refers to the living vegetation above the soil, including stem, stump, branches, bark, seeds, and foliage. Teak Tectona grandis Linn f. is a popular exotic tree species in Nigeria; it is widely grown in both large scale and small community woodlots. The objective of this study was to develop models for estimation of biomass content of Teak plantation in Nnamdi Azikiwe University, Awka, Nigeria for sustainable management. Data on the diameter at breast height D and total height H of all teak stands in the plantation were recorded. Non-destructive method using an existing equation was used to estimate the aboveground biomass AGB of the individual stands from stump diameter. The Data was subjected to descriptive statistics, bivariate correlation analysis and fitted to six 6 linear regression functions. A total of 295 trees were measured with mean AGB of 18.61 kg. Out of the AGB prediction models developed for the study area, the Semi Log 3 B5 model had the best predictive ability; with the highest adjusted coefficient of determination 0.984 and the lowest standard error of estimate 0.308, and Akaike information criterion -690.974. Model B5 B0.7640.764D-0.105lnH is therefore recommended for future inventory and management of the plantation.

 Tree biomass is considered a useful indicator of structural and functional attributes of forest ecosystems across a wide range of environmental conditions. The aboveground biomass refers to the living vegetation above the soil, including stem, stump, branches, bark, seeds, and foliage. Teak Tectona grandis Linn f. is a popular exotic tree species in Nigeria; it is widely grown in both large scale and small community woodlots. The objective of this study was to develop models for estimation of biomass content of Teak plantation in Nnamdi Azikiwe University, Awka, Nigeria for sustainable management. Data on the diameter at breast height D and total height H of all teak stands in the plantation were recorded. Non-destructive method using an existing equation was used to estimate the aboveground biomass AGB of the individual stands from stump diameter. The Data was subjected to descriptive statistics, bivariate correlation analysis and fitted to six 6 linear regression functions. A total of 295 trees were measured with mean AGB of 18.61 kg. Out of the AGB prediction models developed for the study area, the Semi Log 3 B5 model had the best predictive ability; with the highest adjusted coefficient of determination 0.984 and the lowest standard error of estimate 0.308, and Akaike information criterion -690.974. Model B5 B0.7640.764D-0.105lnH is therefore recommended for future inventory and management of the plantation.

 Tree biomass is considered a useful indicator of structural and functional attributes of forest ecosystems across a wide range of environmental conditions. The aboveground biomass refers to the living vegetation above the soil, including stem, stump, branches, bark, seeds, and foliage. Teak Tectona grandis Linn f. is a popular exotic tree species in Nigeria; it is widely grown in both large scale and small community woodlots. The objective of this study was to develop models for estimation of biomass content of Teak plantation in Nnamdi Azikiwe University, Awka, Nigeria for sustainable management. Data on the diameter at breast height D and total height H of all teak stands in the plantation were recorded. Non-destructive method using an existing equation was used to estimate the aboveground biomass AGB of the individual stands from stump diameter. The Data was subjected to descriptive statistics, bivariate correlation analysis and fitted to six 6 linear regression functions. A total of 295 trees were measured with mean AGB of 18.61 kg. Out of the AGB prediction models developed for the study area, the Semi Log 3 B5 model had the best predictive ability; with the highest adjusted coefficient of determination 0.984 and the lowest standard error of estimate 0.308, and Akaike information criterion -690.974. Model B5 B0.7640.764D-0.105lnH is therefore recommended for future inventory and management of the plantation.

 Ağaç biyokütlesi, çok çeşitli çevresel koşullarda orman ekosistemlerinin yapısal ve işlevsel özelliklerinin önemli bir göstergesi olarak kabul edilir. Topraküstü biyokütle TÜB, gövde, kütük, dal, kabuk, tohum ve yapraklar dahil olmak üzere toprağın üstündeki canlı bitki örtüsünü ifade etmektedir. Tik Tectona grandis Linn f., Nijeryada popüler bir egzotik ağaç türü olup büyük ve küçük topluluklar halinde ormanlık alanlarda yaygın olarak yetiştirilmektedir. Bu çalışmanın amacı, sürdürülebilir yönetim için Nijerya Awkadaki Nnamdi Azikiwe Üniversitesinde bulunan tik plantasyonundaki biyokütle miktarının tahmini için modeller geliştirmektir. Plantasyondaki tüm tik ağaçlarının göğüs yüksekliği çapı DBH, kütük çapı Ds ve toplam ağaç boyu TH ölçülmüştür. Kütük çapını bir değişken olarak kullanan bir denklem yardımıyla tüm ağaçların topraküstü biyokütle miktarları tahmin edilmiştir. Verilere ait tanımlayıcı istatistikler belirlenmiş, iki değişkenli korelasyon analizi yapılmış ve altı 6 doğrusal regresyon fonksiyonu geliştirilmiştir. Toplamda 295 ağaç ile gerçekleştirilen bu çalışmada, ortalama topraküstü biyokütle miktarı 18.61 kg olarak belirlenmiştir. Çalışma kapsamında geliştirilen modeller arasında en başarılı model, en yüksek düzeltilmiş belirleme katsayısı 0,984, en düşük tahminin standart hatası 0,308 ve en düşük Akaike bilgi kriteri -690,974 ile Semi Log 3 B5 modeli olmuştur. Bu nedenle, Model B5, plantasyonun gelecekteki envanteri ve yönetimi için önerilmektedir.

Makale detayları

Aboveground biomass estimation models for Tectona grandis Linn f. plantation in Nnamdi Azikiwe University, Awka, Nigeria

Yazarlar:

Onyekachi Chukwu

Yayıncı:

Isparta University of Applied Sciences

Ana Başlıklar:

Orman Biyokütlesi ve Biyoürünleri | Orman Biyometrisi

Dergi:

Turkish Journal of Forestry Vol.25 Issue 3, pp.244-248

Belge Tipi:

Makale

Yayın Tarihi:

9/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001328823

pISSN:

2149-3898

Carbon stocks

Forest inventory

Forest modelling

Regression

Tree growth variablesKarbon bütçesi

Orman envanteri

Orman modelleme

Regresyon

Ağaç büyüme değişkenleri

Sayı

Makale detayları

Yazarlar: Onyekachi Chukwu

Yayıncı: Isparta University of Applied Sciences

Ana Başlıklar: Orman Biyokütlesi ve Biyoürünleri | Orman Biyometrisi

Dergi: Turkish Journal of Forestry Vol.25 Issue 3, pp.244-248

Belge Tipi: Makale

Yayın Tarihi: 9/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001328823

pISSN: 2149-3898

Sayı

Yazarlar:

Onyekachi Chukwu

Yayıncı:

Isparta University of Applied Sciences

Ana Başlıklar:

Orman Biyokütlesi ve Biyoürünleri | Orman Biyometrisi

Dergi:

Turkish Journal of Forestry Vol.25 Issue 3, pp.244-248

Belge Tipi:

Makale

Yayın Tarihi:

9/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001328823

pISSN:

2149-3898