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Data from: Developing allometric models to predict the individual aboveground biomass of shrubs worldwide
负责人:
关键词:
plant allometry;carbon inventories;dimensional relationships;Scaling relationships;allometric model construction;biomass equation;multistemmed individuals;crown diameter
DOI:
doi:10.5061/dryad.282bm46
摘要:
Aim Existing global models to predict standing woody biomass are based on trees characterized by a single principal stem, well-developed in height
Data from: Kleptoparasitism and scavenging can stabilize ecosystem dynamics
负责人:
Focardi, Stefano
关键词:
Food web: theory Modeling: predator/prey Population: dynamics ungulates
DOI:
doi:10.5061/dryad.p8j38
摘要:
Scavenging is ubiquitous in nature and yet its implications for ecosystem dynamics have rarely been investigated. We used camera traps on wolf kills
Data from: How to predict biodiversity in space? An evaluation of modelling approaches in marine ecosystems
负责人:
关键词:
GDM;HMSC;Hill diversity profile;Random Forest;SSDM;?-diversity
DOI:
doi:10.5061/dryad.2fv7mt8
摘要:
in a mesoscales. The approach of multi?model evaluations is applicable to a variety of ecosystems for biodiversity prediction.
Data from: Consequences of climatic thresholds for projecting fire activity and ecological change
负责人:
关键词:
climate change;Nonlinear relationships;Thresholds;statistical modeling;Fire ecology;transferability;Paleoecology;850-2100 CE
DOI:
doi:10.5061/dryad.82vs647
摘要:
: Boreal forest and tundra ecosystems of Alaska. Time period: 850–2100 CE. Major taxa studied: Not applicable. Methods: We informed a set of publi
Data from: Spatial distribution of fishes in a Northwest Atlantic ecosystem in relation to risk of predation by a marine mammal
负责人:
关键词:
behaviour-mediated top-down effects non-consumptive predator effects predator-induced habitat selection predator-prey interactions
DOI:
doi:10.5061/dryad.n43qf
摘要:
. Distribution was modelled using generalized additive models incorporating spatially variable effects of predation risk, density dependence and water tem
Data from: Predicting local and non-local effects of resources on animal space use using a mechanistic step-selection model
负责人:
关键词:
DOI:
doi:10.5061/dryad.1d60p
摘要:
e real aspects of animal space use missing from previous mechanistic resource-selection models. 4. Whilst we focus on habitats in this paper, our modelling
Data from: Thermal segregation drives patterns of alder and willow expansion in a montane ecosystem subject to climate warming
负责人:
关键词:
tundra;range expansion;Salix;thermal niche modeling;forecast modeling;shrubs;alpine;plant-climate interactions;Alnus;climate change
DOI:
doi:10.5061/dryad.dc863
摘要:
ra: Alnus, Betula, and Salix. Which genus expands most into tundra landscapes will determine ecosystem properties. 2.We show that Alnus and Salix shrubs
Data from: Rising variability, not slowing down, as a leading indicator of a stochastically driven abrupt transition in a dryland ecosystem
负责人:
关键词:
Community: succession;Conservation Biology;Grasslands;Ecology: theoretical;Ecology: ecosystem;Desert;Modeling: ecological;Methods: time series analysis;Ecology: experimental
DOI:
doi:10.5061/dryad.gg1fk
摘要:
in field ecosystems, where stochasticity is important in driving transitions, remains unclear. We analyzed long-term data from a dryland ecosystem in the Shapotou
Data from: Application of a trait?based species screening framework for vegetation restoration in a tropical coral island of China
负责人:
关键词:
functional restoration;tropical coral island;trait-based species screening;the maximum entropy model;Recover Plant Species Selection software platform
DOI:
doi:10.5061/dryad.6q573n5w0
摘要:
t potential species for restoration of degraded ecosystems. 2. Here, we developed a species screening model based on quantitative trait?based theory
Data from: Catastrophic dynamics limit Atlantic cod recovery
负责人:
Sguotti, Camilla
关键词:
Catastrophe theory stock collapse Atlantic cod stochastic cusp modelling population recovery
DOI:
doi:10.5061/dryad.037jr6v
摘要:
Collapses and regime changes are pervasive in complex systems (such as marine ecosystems) governed by multiple stressors. The demise of Atlantic cod

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