Quantile regression: prediction of growth and yield for a eucalyptus plantation in northeast Brazil

Farias, Aline Araújo; Soares, Carlos Pedro Boëchat; Leite, Hélio Garcia; Silva, Gilson Fernandes da

doi:10.1007/s10342-021-01380-1

Cited by 4 publications

(2 citation statements)

References 34 publications

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“…Finally, the LoM approach can be used to estimate the carrying capacity of managed systems such as forest plantations (e.g. Farias et al, 2021) or fishery stocks (e.g. See et al, 2021;Sweka & Mackey, 2010).…”

Section: Discussionmentioning

confidence: 99%

The neglected role of limiting factors in large-scale abundance patterns

Alves‐Martins

Morales‐Castilla

Andivia

et al. 2023

Preprint

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The Law of the Minimum states that species’ abundance at a location is limited by one single factor. If true, abundance-environment plots should take polygonal shapes constrained by an upper boundary representing the maximum abundance that the species can reach across the environmental gradient. Here, we examine the generality of polygonal plots in the literature and in observational data, and assess how often they are analyzed under the theory of ecological limitation. We also present a proof-of-concept of a method to identify polygon-shaped plots. We found polygonal plots in 76% of reviewed studies and in 73% of the 300 analyzed tree and bird species. We demonstrate that polygonal shapes with upper boundaries are prevalent in abundance-environment plots; yet they are rarely interpreted considering the Law of the Minimum. A wider acknowledgement of limiting relationships would improve our ecological understanding and estimation with further benefits to theoretical and applied ecology.

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Section: Discussionmentioning

confidence: 99%

The neglected role of limiting factors in large-scale abundance patterns

Alves‐Martins

Morales‐Castilla

Andivia

et al. 2023

Preprint

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“…It is not only a vital source of short fiber in pulp and paper production [1], but also plays an important role in ecological security [2], regulating climate change, and ensuring national timber security [3]. Currently, eucalypti are extensively cultivated in China [4]. Guangxi, China, is mainly characterized by mountainous and hilly basins, with a mild climate and abundant rainfall, making it ideal for the planting and growth of Eucalyptus.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Seasonal Growth of Eucalyptus Plantation under Different Forest Age and Slopes Based on Multi-Temporal UAV Stereo Images

Tang,

Lei,

You

et al. 2023

Forests

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Eucalyptus grows rapidly and can grow up to 10 m per year, making them an important source of wood supply. Guangxi is a typical karst terrain, with hills and plains being the main growth areas for Eucalyptus. The differences in terrain can affect the seasonal growth of Eucalyptus plantations at different forest ages, which in turn affects the stocking of Eucalyptus. Currently, indiscriminate logging and management not only cause resource waste but also bring economic losses to operators. In this study, an unmanned aerial vehicle (UAV) was used to obtain multi-temporal stereo images to investigate the seasonal growth differences in structural parameters of individual Eucalyptus trees under different forest ages and slopes, providing data support for the precise management of Eucalyptus resources. The results showed that the tree height, crown width, diameter at breast height (DBH), and aboveground biomass (AGB) of individual trees, extracted based on UAV stereo images, are highly correlated with the field measured data, with an R2 of 0.99, 0.78, 0.75, and 0.92, and RMSE of 0.21 m, 0.16 m, 1.17 cm, and 3.79 kg/tree, respectively. The growth of Eucalyptus structural parameters varies in different seasons, with faster growth in spring and autumn, accounting for 76.39%, 73.75%, 73.65%, and 73.68% of the total annual growth, respectively. The growth of different structural parameters of individual trees is closely related to forest age, with tree height, crown width, and DBH gradually slowing down with the increase in forest age, while AGB shows a trend of first increasing and then decreasing. The differences in terrain also have a certain impact on the growth of individual Eucalyptus tree structural parameters. For individual 1-year-old and 3-year-old Eucalyptus trees, those located on gentle slopes grow faster in spring and autumn than those located on flat land. However, those located on flat land grow faster in summer and winter than those located on gentle slopes. For tree height, crown width, DBH, and AGB, the maximum annual growth differences between Eucalyptus trees on gentle slopes and flat are 3.17 m, 0.26 m, 1.9 cm, and 9.27 kg/tree, respectively. The results indicate that based on UAV stereo images, the individual tree structural parameters in Eucalyptus plantations under different forest ages and slopes can be extracted, as well as seasonal growth can be monitored, providing data support for logging, planting, and management of Eucalyptus plantations.

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Kantil regresyon ile gövde çapı modelinin geliştirilmesi

Özçelık¹,

Alkan²,

Kalkanlı³

2020

Turkish Journal of Forestry | Türkiye Ormancılık Dergisi

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Büyüme ve hasılat modellerinin en önemli bileşenlerinden birisi ağaç hacim tahminleridir. Hacim tahminleri amacıyla kullanılan en modern yaklaşımlardan birisi de gövde çapı modelleridir. Günümüze kadar farklı formlarda pek çok gövde çapı modeli geliştirilmiştir. Gövde çapı modellerinin geliştirilmesi amacıyla geleneksel doğrusal olmayan en küçük kareler (ONLS) yöntemi başta olmak üzere farklı regresyon teknikleri kullanılmıştır. Son yıllarda, ormancılık uygulamalarında ve gövde çapı modellerinin geliştirilmesi amacıyla Kantil Regresyon (QR) tekniği de kullanılmaya başlamıştır. Bu çalışmada, doğal karaçam meşcereleri için ONLS ve QR teknikleriyle Max ve Burkhart (1976) modelini temel alan gövde çapı modeli geliştirilmiştir. Bu amaçla, birbirinden bağımsız iki farklı karaçam meşceresinden örnek ağaç verileri elde edilmiş ve verilerin bir kısmı (grup I) model geliştirmek, diğer kısmı ise (grup II) ise geliştirilen modelin test edilmesi amacıyla kullanılmıştır. Çalışmada, QR tekniği iki farklı kantil setini (3QR ve 5QR) esas alarak kullanılmıştır. Sonuçlar, dört farklı değerlendirme ölçütü kullanılarak tüm ağaç gövdesi ve on farklı nisbi boy sınıfı için karşılaştırılmıştır. QR tekniği ile elde edilen gövde çapı tahminlerinin hem tüm gövde hem de farklı nispi boy sınıfları için ONLS ile elde edilen sonuçlara göre daha başarılı olduğu görülmüştür. Çap tahminleri için 3QR ile elde edilen sonuçlar, 5QR ile elde edilen sonuçlara göre nispeten daha başarılıdır. Sonuç olarak, QR tekniği de, gövde çapı tahminleri için diğer regresyon tekniklerine alternatif olarak kullanılabilecek bir yaklaşımdır.

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Quantile regression: prediction of growth and yield for a eucalyptus plantation in northeast Brazil

Cited by 4 publications

References 34 publications

The neglected role of limiting factors in large-scale abundance patterns

The neglected role of limiting factors in large-scale abundance patterns

Monitoring Seasonal Growth of Eucalyptus Plantation under Different Forest Age and Slopes Based on Multi-Temporal UAV Stereo Images

Kantil regresyon ile gövde çapı modelinin geliştirilmesi

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