scholarly journals A spatially explicit index for tree species or trait diversity at neighborhood and stand level

2021 ◽  
Vol 130 ◽  
pp. 108073
Author(s):  
Jonas Glatthorn
2021 ◽  
Author(s):  
Thais R. Pfeilsticker ◽  
Renata S. O. Buzatti ◽  
André C. Muniz ◽  
Marcelo L. Bueno ◽  
José P. Lemos‐Filho ◽  
...  

PLoS ONE ◽  
2017 ◽  
Vol 12 (9) ◽  
pp. e0184457 ◽  
Author(s):  
Hannes Gaisberger ◽  
Roeland Kindt ◽  
Judy Loo ◽  
Marco Schmidt ◽  
Fidèle Bognounou ◽  
...  

2013 ◽  
Vol 19 (7) ◽  
pp. 2196-2208 ◽  
Author(s):  
Anantha M. Prasad ◽  
Judith D. Gardiner ◽  
Louis R. Iverson ◽  
Stephen N Matthews ◽  
Matthew Peters

2020 ◽  
Vol 73 (1) ◽  
pp. 107-124
Author(s):  
Maksym Matsala ◽  
Viktor Myroniuk ◽  
Andrii Bilous ◽  
Andrii Terentiev ◽  
Petro Diachuk ◽  
...  

Abstract Spatially explicit and consistent mapping of forest biomass is one of the key tasks towards full and appropriate accounting of carbon budgets and productivity potentials at different scales. Landsat imagery coupled with terrestrial-based data and processed using modern machine learning techniques is a suitable data source for mapping of forest components such as deadwood. Using relationships between deadwood biomass and growing stock volume, here we indirectly map this ecosystem compartment within the study area in northern Ukraine. Several machine learning techniques were applied: Random Forest (RF) for the land cover and tree species classification task, k-Nearest Neighbours (k-NN) and Gradient Boosting Machines (GBM) for the deadwood imputation purpose. Land cover (81.9%) and tree species classification (78.9%) were performed with a relatively high level of overall accuracy. Outputs of deadwood biomass mapping using k-NN and GBM matched quite well (8.4 ± 2.3 t·ha−1 (17% of the mean) vs. 8.1 ± 1.7 t·ha−1 (16% of the mean), respectively mean ± SD deadwood biomass stock), indicating a strong potential of ensemble boosters to predict forest biomass in a spatially explicit manner. The main challenges met in the study were related to the limitations of available ground-based data, thus showing the need for national statistical inventory implications in Ukraine.


2020 ◽  
Author(s):  
Dominik Thom ◽  
Anthony Taylor ◽  
Rupert Seidl ◽  
Wilfried Thuiller ◽  
Jiejie Wang ◽  
...  

<p>The functional diversity (FD) represented by plant traits is fundamentally linked to the ecosystem’s capacity to respond to changes in the environment. Thus, there is an ongoing debate about including FD considerations in management plans to safeguard forests and their services to the society under climate change. However, incomplete scientific knowledge and difficulties to understand the concept of FD hinder the implementation of FD-based management approaches. Our study fills these knowledge gaps by (i) mapping the current distribution, (ii) analyzing the drivers, and (iii) testing the sensitivity of FD to projected increases in temperature and precipitation in northeastern North America. Following the stress-dominance hypothesis, we expected the strongest effect on FD from environmental filtering (i.e., climatic conditions) within our study region.</p><p>We combined a literature and database review of 44 traits for 43 tree species with terrestrial inventory data of 48,426 plots spanning an environmental gradient from northern boreal to temperate biomes. Employing multiple non-parametric models, we evaluated the impacts of 25 covariates on FD. Subsequently, we conducted a climate sensitivity analysis. The effect of rarity and commonness were tested for all outcomes using Hill numbers with different abundance weightings.</p><p>We identified FD hotspots in temperate forests and the boreal-temperate ecotone east and northeast of the Great Lakes. Forest stand structure explained most of the variation in FD. Elevated temperature increased FD in boreal, but lowered FD in temperate forests. Different species abundance weightings affected trait diversity distributions and drivers only marginally.</p><p>As environmental filtering was of secondary importance behind forest structure in explaining the trait diversity distribution of tree species in northeastern North America, our study provides only partial support for the stress-dominance hypothesis. Forest management can increase FD by promoting structural complexity. In addition, mixing species from functionally different groups identified in this study can enhance the response diversity of forests to an uncertain future.</p>


PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12150
Author(s):  
Shuntaro Watanabe ◽  
Yuri Maesako

In plants, negative reproductive interaction among closely related species (i.e., reproductive interference) is known to hamper the coexistence of congeneric species while facilitation can increase species persistence. Since reproductive interference in plants may occur through interspecific pollination, the effective range of reproductive interference may reflects the spatial range of interspecific pollination. Therefore, we hypothesized that the coexistence of congeners on a small spatial scale would be less likely to occur by chance but that such coexistence would be likely to occur on a scale larger than interspecific pollination frequently occur. In the present study, we tested this hypothesis using spatially explicit woody plant survey data. Contrary to our prediction, congeneric tree species often coexisted at the finest spatial scale and significant exclusive distribution was not detected. Our results suggest that cooccurrence of congeneric tree species is not structured by reproductive interference, and they indicate the need for further research to explore the factors that mitigate the effects of reproductive interference.


2021 ◽  
Author(s):  
Shuntaro Watanabe ◽  
Yuri Maesako

AbstractUnderstanding how biotic interaction affects species composition and distribution is a major challenge in community ecology. In plants, negative reproductive interaction among closely related species (i.e., reproductive interference) is known to hamper the coexistence of congenic species. Since the magnitude of reproductive interference in plants depends on pollen flow distance, we hypothesized that the coexistence of congeners on a small spatial scale would be less likely to occur by chance but that such coexistence would be likely to occur on a scale larger than pollen flow distance. In the present study, we tested this hypothesis using spatially explicit woody plant survey data. Contrary to our prediction, congenic tree species often coexisted at the finest spatial scale and significant exclusive distribution was not detected. Our results suggest that cooccurrence of congenic tree species is not structured by reproductive interference, and they indicate the need for further research to explore the factors that mitigate the effects of reproductive interference.


1995 ◽  
Vol 95 (3) ◽  
pp. 399-408 ◽  
Author(s):  
Elena Toll ◽  
Federico J. Castillo ◽  
Pierre Crespi ◽  
Michele Crevecoeur ◽  
Hubert Greppin

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