scholarly journals Effects of logging on landscape-level tree diversity across an elevational gradient in Bornean tropical forests

2021 ◽  
pp. e01739
Author(s):  
Sakiko Yano ◽  
Ryota Aoyagi ◽  
Fujiki Shogoro ◽  
John B. Sugau ◽  
Joan T. Pereira ◽  
...  
2018 ◽  
Vol 10 (4) ◽  
pp. 629 ◽  
Author(s):  
Chelsea Robinson ◽  
Sassan Saatchi ◽  
David Clark ◽  
Johanna Hurtado Astaiza ◽  
Anna Hubel ◽  
...  

2005 ◽  
Vol 205 (1-3) ◽  
pp. 385-395 ◽  
Author(s):  
Matthew D. Potts ◽  
Abd. Rahman Kassim ◽  
M.N. Nur Supardi ◽  
S. Tan ◽  
William H. Bossert

2016 ◽  
Vol 13 (5) ◽  
pp. 1553-1570 ◽  
Author(s):  
Daniel Magnabosco Marra ◽  
Niro Higuchi ◽  
Susan E. Trumbore ◽  
Gabriel H. P. M. Ribeiro ◽  
Joaquim dos Santos ◽  
...  

Abstract. Old-growth forests are subject to substantial changes in structure and species composition due to the intensification of human activities, gradual climate change and extreme weather events. Trees store ca. 90 % of the total aboveground biomass (AGB) in tropical forests and precise tree biomass estimation models are crucial for management and conservation. In the central Amazon, predicting AGB at large spatial scales is a challenging task due to the heterogeneity of successional stages, high tree species diversity and inherent variations in tree allometry and architecture. We parameterized generic AGB estimation models applicable across species and a wide range of structural and compositional variation related to species sorting into height layers as well as frequent natural disturbances. We used 727 trees (diameter at breast height  ≥  5 cm) from 101 genera and at least 135 species harvested in a contiguous forest near Manaus, Brazil. Sampling from this data set we assembled six scenarios designed to span existing gradients in floristic composition and size distribution in order to select models that best predict AGB at the landscape level across successional gradients. We found that good individual tree model fits do not necessarily translate into reliable predictions of AGB at the landscape level. When predicting AGB (dry mass) over scenarios using our different models and an available pantropical model, we observed systematic biases ranging from −31 % (pantropical) to +39 %, with root-mean-square error (RMSE) values of up to 130 Mg ha−1 (pantropical). Our first and second best models had both low mean biases (0.8 and 3.9 %, respectively) and RMSE (9.4 and 18.6 Mg ha−1) when applied over scenarios. Predicting biomass correctly at the landscape level in hyperdiverse and structurally complex tropical forests, especially allowing good performance at the margins of data availability for model construction/calibration, requires the inclusion of predictors that express inherent variations in species architecture. The model of interest should comprise the floristic composition and size-distribution variability of the target forest, implying that even generic global or pantropical biomass estimation models can lead to strong biases. Reliable biomass assessments for the Amazon basin (i.e., secondary forests) still depend on the collection of allometric data at the local/regional scale and forest inventories including species-specific attributes, which are often unavailable or estimated imprecisely in most regions.


2017 ◽  
Vol 24 (2) ◽  
pp. 597-607 ◽  
Author(s):  
Melina Melito ◽  
Jean Paul Metzger ◽  
Alexandre A. de Oliveira

2020 ◽  
Vol 105 (3) ◽  
pp. 377-392 ◽  
Author(s):  
Liza S. Comita ◽  
Simon M. Stump

Over the past five decades, many studies have examined the Janzen-Connell hypothesis, which posits that host-specific natural enemies, such as insect herbivores and fungal pathogens, promote plant species coexistence by providing a recruitment advantage to rare plant species. Recently, researchers have been exploring new and exciting angles on plant-enemy interactions that have yielded novel insights into this long-standing hypothesis. Here, we highlight some empirical advances in our understanding of plant-enemy interactions in tropical forests, including improved understanding of variation in plant species’ susceptibility to enemy effects, as well as insect and pathogen host ranges. We then review recent advances in related ecological theory. These theoretical studies have confirmed that specialist natural enemies can promote tree diversity. However, they have also shown that the impact of natural enemies may be weakened, or that natural enemies could even cause species exclusion, depending on enemy host range, the spatial extent of enemy effects, and variation among plant species in seed dispersal or enemy susceptibility. Finally, we end by discussing how human impacts on tropical forests, such as fragmentation, hunting, and climate change, may alter the plant-enemy interactions that contribute to tropical forest diversity.


Flora ◽  
2017 ◽  
Vol 234 ◽  
pp. 84-91 ◽  
Author(s):  
Vitor de Andrade Kamimura ◽  
Pedro Luís Rodrigues de Moraes ◽  
Henrique Lauand Ribeiro ◽  
Carlos Alfredo Joly ◽  
Marco Antonio Assis

2014 ◽  
Vol 30 (1) ◽  
pp. 119-132 ◽  
Author(s):  
Roberto Cazzolla Gatti ◽  
Simona Castaldi ◽  
Jeremy A. Lindsell ◽  
David A. Coomes ◽  
Marco Marchetti ◽  
...  

2021 ◽  
Author(s):  
Marina Melo Duarte ◽  
Rafael de Andrade Moral ◽  
Joannès Guillemot ◽  
Caroline Isaac Ferreira Zuim ◽  
Catherine Potvin ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document