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Data from: Integral Projection Models for host-parasite systems with an application to amphibian chytrid fungus
负责人:
Mark Wilber
关键词:
Integral Projection Models macroparasite models microparasite models
DOI:
doi:10.5061/dryad.06sd9
摘要:
;We illustrate how Integral Projection Models (IPMs) provide a novel modelling framework to represent both types of pathogens. We build a simple host–parasite IPM
Data from: Opportunities and challenges of Integral Projection Models for modeling host-parasite dynamics
负责人:
关键词:
Integral Projection Model parasite demography infectious disease dynamics murine malaria measles
DOI:
doi:10.5061/dryad.07mc1
摘要:
categorization and/or agent-based approaches. Integral Projection Models (IPMs) allow variance in individual trajectories of quantitative traits and thei
Data from: Integrating correlation between traits improves spatial predictions of plant functional composition
负责人:
关键词:
generalized additive mixed effect models;Community weighted mean;response and effect traits
DOI:
doi:10.5061/dryad.v475g
摘要:
ve mixed effect models to predict the functional composition of alpine grasslands in the Guisane Valley (France). We demonstrate that, compared to traditional appro
Data from: Comparing the impact of future cropland expansion on global biodiversity and carbon storage across models and scenarios
负责人:
关键词:
Land-use change;biodiversity;Carbon storage;integrated models
DOI:
doi:10.5061/dryad.sj3tx961p
摘要:
variation between models and scenarios, with little overlap across all nine projections. Although SSP1 projects the least impact, there are still significant
Data from: Using an integral projection model to assess the effect of temperature on the growth of gilthead seabream Sparus aurata
负责人:
Heather, Freddie J.
关键词:
environmental effects gilthead seabream integral projection model longitudinal analysis otoliths temperature effects growth rate fish growth von Bertalanffy size-at-age
DOI:
doi:10.5061/dryad.fb128m1
摘要:
ture on growth was modelled with linear mixed effects models and a simplified linear model to be implemented in a cohort Integral Projection Model (cIPM). The cIPM
Data from: Landscape heterogeneity is key to forecasting outcomes of plant reintroduction
负责人:
关键词:
Longleaf pine savanna;Conservation Biology;Anthropocene;Demography;Ecological forecasting;Landscape corridor;Carphephorus bellidifolius;Prediction;habitat fragmentation;integral projection model;restoration ecology;Liatris earlei
DOI:
doi:10.5061/dryad.8s7v328
摘要:
Conservation and restoration projects often involve starting new populations by introducing individuals into portions of their native or projecte
Global top soil texture data compatible with the WRF model based on the Harmonized World Soil Database (HWSD) at 30 arc-second horizontal resoluti
负责人:
The Food And Agriculture Organization Of The United Nations (FAO);;International Institute For Applied Systems Analysis (IIASA);;International Soil
关键词:
Climate RU_1695 soil
DOI:
doi:10.1594/wdcc/wrf_noah_hwsd_world_top_st_v121
摘要:
ible socio-economic conditions and adaptation processes. In order to achieve these objectives, regional climate models coupled with land surface
Data from: Deer indirectly alter the reproductive strategy and operational sex ratio of an unpalatable forest perennial
负责人:
关键词:
operational sex ratio;Arisaema triphyllum;environmental disturbance;reproductive strategy;Age-from-stage modeling;integral projection model;2006-2009;Cost of reproduction;Odocoileus virginianus
DOI:
doi:10.5061/dryad.gv0420c
摘要:
r the abiotic environment, we parameterize a size-dependent integral projection model for a sexually labile and unpalatable forest perennial to investigate the demogra
Data from: Demography of Euterpe precatoria and Mauritia flexuosa in the Amazon: application of integral projection models for their harvest
负责人:
关键词:
Euterpe precatoria;NTFPs;Population Ecology;Mauritia flexuosa;Edible fruits;Arecaceae;Sustainable use;Wild foods
DOI:
doi:10.5061/dryad.bn3kd
摘要:
ortant palms of the Amazon, using integral projection models, to characterize the population dynamics and project impact of different fruit
Data from: Quantifying demographic uncertainty: Bayesian methods for integral projection models (IPMs)
负责人:
关键词:
Opuntia imbricata Hawarth D.C.;Demography;hierarchical Bayes;process error;model selection;parameter estimation;Markov chain Monte Carlo;stochasticity;uncertainty;population dynamics
DOI:
doi:10.5061/dryad.db428
摘要:
Integral projection models (IPMs) are a powerful and popular approach to modeling population dynamics. Generalized linear models form the statistical

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