About: A demographic approach to understanding the effects of climate on population growth

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: A demographic approach to understanding the effects of climate on population growth Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	A demographic approach to understanding the effects of climate on population growth
Creator	Caruso, Nicholas Rissler, Leslie Staudhammer, Christina
Source	BioRxiv
abstract	Amphibian life history traits are affected by temperature and precipitation. Yet, connecting these relationships to population growth, especially for multiple populations within a species, is lacking and precludes our understanding of how amphibians are distributed. Therefore, we constructed Integral Projection Models (IPM) for five populations along an elevational gradient to determine how climate and season affects population growth of a terrestrial salamander Plethodon montanus and the importance of demographic vital rates to population growth under varying climate scenarios. We found that population growth was typically higher at the highest elevation compared to the lower elevations whereas varying inactive season conditions, represented by the late fall, winter and early spring, produced a greater variation in population growth than varying active season conditions (late spring, summer, and early fall). Furthermore, survival and growth was consistently more important, as measured by elasticity, compared to fecundity and large females had the greatest elasticity compared to all other sizes. Our results suggest that changing inactive season conditions, especially those that would affect the survival of large individuals, may have the greatest impact on population growth. Therefore, we recommend experimental studies focused on the inactive season to determine the mechanism by which these conditions can affect survival.
has issue date	2019-11-13(xsd:dateTime)
bibo:doi	10.1101/840512
has license	biorxiv
sha1sum (hex)	6491438a8e7d8ff8317e85918b808587c8df9165
schema:url	https://doi.org/10.1101/840512
resource representing a document's title	A demographic approach to understanding the effects of climate on population growth
schema:publication	bioRxiv
resource representing a document's body	covid:6491438a8e7d8ff8317e85918b808587c8df9165#body_text
is schema:about of	named entity 'terrestrial' named entity 'IPM' named entity 'gradient' named entity 'determine' named entity 'salamander' named entity 'constructed' named entity 'terrestrial' named entity 'population growth' named entity 'population growth' named entity 'von Bertalanffy' named entity 'probability' named entity 'probability density function' named entity 'standard deviation' named entity 'probability density function' named entity 'logistic regression' named entity 'sex ratio' named entity 'skeletochronology' named entity 'SWE' named entity 'lines of arrested growth' named entity 'Von Bertalanffy' named entity 'fecundity' named entity 'standard deviation' named entity 'fecundity' named entity 'probability' named entity 'discrete time' named entity 'probability density function' named entity 'Inactive season' named entity 'SWE' named entity '95%' named entity 'standard deviation' named entity 'SWE' named entity 'fecundity' named entity 'periosteal layer' named entity 'SWE' named entity 'snow water equivalent' named entity 'snow water equivalent' named entity 'fecundity' named entity 'probability' named entity 'population dynamics' named entity 'IPMs' named entity 'SWE' named entity 'probability' named entity 'SWE' named entity 'discrete time' named entity 'US National Museum' named entity 'species' named entity 'amphibians' named entity 'salamander' named entity 'Integral' named entity 'population growth' named entity 'precipitation' named entity 'demographic' named entity 'Amphibian' covid:arg/6491438a8e7d8ff8317e85918b808587c8df9165 named entity 'IPM' named entity 'life history traits' named entity 'population growth' named entity 'Models' named entity 'distributed' named entity 'season' named entity 'population growth' named entity 'climate' named entity 'species' named entity 'amphibians' named entity 'climate' named entity 'connecting' named entity 'Yet' named entity 'temperature' named entity 'Therefore' named entity 'Amphibian' named entity 'precipitation' named entity 'population growth' named entity 'life history traits' named entity 'demographic' named entity 'effects' nodeID://b56411494 nodeID://b56565258 nodeID://b56566978 nodeID://b56921166 nodeID://b57118126 nodeID://b57129630 nodeID://b57364918

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software