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Data from: Comparing forest structure and biodiversity on private and public land: secondary tropical dry forests in Costa Rica
负责人:
McClellan, Moana
关键词:
ecosystem services forest biomass forest conservation forest succession forest management land tenure secondary forests species composition
DOI:
doi:10.5061/dryad.57s62
摘要:
on higher soil fertility areas while forests occupied areas of lower soil fertility. We found that forest structure and tree species diversity did not diffe
Data from: Temporal dynamics in animal community assembly during post-logging succession in boreal forest
负责人:
Hélène Le Borgne
关键词:
Community assembly Forest succession Habitat characteristics Logging
DOI:
doi:10.5061/dryad.679s1dt
摘要:
assemblages in landscapes dominated by old-growth boreal forests. Our objectives were to 1) characterize variations in communities during the first 66 yea
Data from: A mechanistic and empirically-supported lightning risk model for forest trees
负责人:
关键词:
plant population and community dynamics;disturbance;forest dynamics;Tree mortality;tree species;Panama;tree size;Lightning;risk modelling
DOI:
doi:10.5061/dryad.c59zw3r48
摘要:
e patterns suggest that lightning influences forest structure and the global carbon budget by nonrandomly damaging large trees. ?Moreover, these models provide
Data from: How does avian seed dispersal shape the structure of early successional tropical forests?
负责人:
关键词:
dispersal-limitation;frugivory and seed dispersal;diversity-maintenance;recruitment-limitation;forest regeneration;island ecology;anti-apostatic;Forest Ecology
DOI:
doi:10.5061/dryad.55p11md
摘要:
. 4. Because frugivory and seed dispersal patterns depart from random encounters between frugivores and plants in communities, successional forests ar
Data from: Severe fire weather and intensive forest management increase fire severity in a multi-ownership landscape
负责人:
关键词:
Oregon;Landsat;multi-owner landscape;fire severity;plantation forestry;Forest management;RdNBR;2013-2014
DOI:
doi:10.5061/dryad.3gv5c78
摘要:
higher fire severity? Using Random Forest ensemble machine learning, we found daily fire weather was the most important predictor of fire severity
Data from: Post-fire changes in forest carbon storage over a 300-year chronosequence of Pinus contorta-dominated forests
负责人:
关键词:
net ecosystem carbon balance;carbon;Pinus contorta var. latifolia;Yellowstone;Chronosequence;lodgepole pine
DOI:
doi:10.5061/dryad.1v87f
摘要:
A warming climate may increase the frequency and severity of stand-replacing wildfires, reducing carbon (C) storage in forest ecosystem
Data from: Breeding habitat and nest site selection by an obligatory “nest-cleptoparasite”, the Amur Falcon Falco amurensis
负责人:
关键词:
DOI:
doi:10.5061/dryad.s4mw6m93d
摘要:
ll. We used different classification methods to predict the probability of occurrence, of which the Random forest method showed the highest accura
Data from: Integrating life history traits into predictive phylogeography
负责人:
关键词:
cryptic diversity;comparative phylogeography;Machine Learning;Random Forest
DOI:
doi:10.5061/dryad.s6v210k
摘要:
about unsampled taxa using machine-learning techniques such as Random Forests. To date, organismal trait data have infrequently been incorporated into predictive
Data from: Demographic model selection using random forests and the site frequency spectrum
负责人:
关键词:
ABC;Haplotrema vancouverense;phylogeography;Landscape Genetics;Invertebrates
DOI:
doi:10.5061/dryad.2j27b
摘要:
to next-generation sequencing (NGS) data sets. We implement here several improvements to overcome these difficulties. We use a Random Forest (RF) classifier for model selection
Data from: Altitudinal biodiversity patterns of seed plants along Gongga Mountain in the southeastern Qinghai-Tibetan Plateau
负责人:
关键词:
DOI:
doi:10.5061/dryad.739sh81
摘要:
s in evergreen broad-leaved forests had phylogenetically random structure. Both climate and human pressure had strong correlation with species diversity, phylogenetic diversity

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