scholarly journals Binned Relative Environmental Change Indicator (BRECI): A tool to communicate the nature of differences between environmental niche model outputs

2019 ◽  
Author(s):  
Peter D. Wilson
Keyword(s):  
Biological Sciences ◽  
Environmental Change ◽  
Best Practice ◽  
Model Performance ◽  
Change Model ◽  
Environmental Niche ◽  
Raster Maps ◽  
Environmental Niche Model ◽  
Climate Change Model ◽  
Niche Models

AbstractNiche models are now widely used in many branches of the biological sciences and are often used to contrast the distribution of favouroble environments between regionsa or under changes in environmental conditions such as anthropogenic climate change. Model performance and quality assessment are accepted as best-practice when using these models. One aspect that has received far less attention is developing methods to communicate the degree and nature of changes between model outputs (typically as raster maps). The method described in this paper, Binned Environmental Change Index (BRECI), seeks to address this shortfall in communicating model results.

Demographic history and niche conservatism of tropical rainforest trees separated along an altitudinal gradient of a biogeographic barrier

2014 ◽  
Vol 62 (5) ◽  
pp. 438 ◽  
Author(s):  
Rohan Mellick ◽  
Peter D. Wilson ◽  
Maurizio Rossetto
Keyword(s):  
Environmental Change ◽  
Demographic History ◽  
Environmental Drivers ◽  
Environmental Niche ◽  
Glacial Cycle ◽  
Demographic Response ◽  
History Of ◽  
Environmental Niche Models ◽  
Response To Environmental Change ◽  
Niche Models

The genetic disjunctions and distributions of long-lived species provide valuable signatures of past demographic response to environmental change. Here we use genetic markers to study two Elaeocarpus species from the Australian Wet Tropics to understand changes in palaeodistribution and demography associated with environmental change on either side of the Black Mountain Corridor (BMC). Contrasting the genetic structure of species with different distributions along altitudinal gradients is important to explore some of the environmental drivers of adaptive evolution. Using coalescent-based molecular and environmental niche models, we investigate the demographic history of two long-lived, altitudinally differentiated species that were previously identified as genetically divergent across the BMC. The origin of the genetic disjunction across the BMC is inferred to have occurred during the last glacial cycle in relation to 13 combined molecular histories of both plastid and nuclear loci. Interestingly, whereas midland populations show a dynamic history of expansion and contraction, the highland populations do not. Molecular history and environmental niche models show the populations north of the BMC have remained relatively stable over time in response to environmental change. Populations south of the BMC have been more dynamic in response to environmental change. These differences are likely to highlight the topographical character and environmental heterogeneity of areas separated by the BMC.

scholarly journals Influence of Cesaro summation and the Fejer Kernel onto the climate change model

2018 ◽  
Vol Volume-2 (Issue-3) ◽  
pp. 2466-2471
Author(s):  
Rajendra Bapurao Vhatkar ◽  
Dr. Vishwajeet S. Goswami ◽  
Keyword(s):  
Climate Change ◽  
Change Model ◽  
Fejér Kernel ◽  
Climate Change Model

scholarly journals Environmental niche models for riverine desert fishes and their similarity according to phylogeny and functionality

Ecosphere ◽  
2017 ◽  
Vol 8 (1) ◽  
pp. e01658
Author(s):  
James E. Whitney ◽  
Joanna B. Whittier ◽  
Craig P. Paukert
Keyword(s):  
Environmental Niche ◽  
Desert Fishes ◽  
Environmental Niche Models ◽  
Niche Models

scholarly journals Adaptational lags during periods of environmental change

2019 ◽  
Author(s):  
Tom J. M. Van Dooren
Keyword(s):  
Biological Sciences ◽  
Environmental Change ◽  
Adaptive Dynamics ◽  
A Priori ◽  
Practical Relevance ◽  
Uncertain Environments ◽  
Mitigation And Adaptation ◽  
Engineering Problems ◽  
Establishment Probability ◽  
Model Structures

AbstractEffects of climate change can be handled by means of mitigation and adaptation. In the biological sciences, adaptations are evolved solutions of engineering problems where organisms need to match an ecological challenge. Based on Adaptive Dynamics theory, a definition is proposed of adapted states and adaptational lags which is applicable during periods with environmental change of any speed and to any character. Adaptation can thus be studied even when it emerges from complex eco-evolutionary processes and targets for adaptation are not defined or known a priori. The approach is exemplified with a model for delayed germination (germination probability) in an annual plant, which is the classic life history example for adaptation to uncertain environments. Plasticity and maternal effects are added to the model to investigate lags in these modes of trait determination which are often presumed to be adaptive. In the example, adaptational lags are not converging to an equilibrium and change sign. For the model version with plasticity and maternal effect weights, the presence of a lag in these trait components can temporarily change the direction of selection on the genotypic weight. Adaptational lag is related to the establishment probability of mutants in the model example. It could therefore have practical relevance. A first general classification is proposed of model structures that include both adaptive control and evolutionary adaptation.

scholarly journals An empirical model for the raw wood assortment price predicting – case study in Slovakia

BioResources ◽  
2020 ◽  
Vol 15 (3) ◽  
pp. 5913-5925
Author(s):  
Miloš Gejdoš ◽  
Marek Trenčiansky ◽  
Blanka Giertliová ◽  
Martin Lieskovský ◽  
Zuzana Danihelová
Keyword(s):  
Slovak Republic ◽  
Elastic Response ◽  
Economic Welfare ◽  
Change Model ◽  
Linear Regression Equation ◽  
Climate Change Model ◽  
Timber Sale ◽  
The Impact ◽  
Model Scenarios

Sales of timber, which represent the main source of forest management income, are essential for the economic welfare of forest businesses. Planning the timber sale management faces a certain amount of uncertainty and risk in such difficult conditions of climate change. Model scenarios make preparation for potential future development possible. The aim of the study was to create a prediction model of coniferous and non-coniferous sawlogs for the area of the Central Europe. The objective of the model was to estimate the variations in the price of coniferous or non-coniferous sawlogs following a linear regression equation in the analysed time series from 2001 to 2017. The price of coniferous sawlogs was significantly affected in a negative way by the amount of incidental fellings and in a positive way by the Gross Domestic Product. The price of the non-coniferous sawlogs was significantly affected in a positive way by the GDP and the volume of non-coniferous sawlog export. These factors caused a non-elastic response of the coniferous sawlog price. The impact of these factors depends to a great extent on the wood species composition of the forests in the Slovak Republic. The model also can be set for conditions of other countries when considering their economic indicators.

Sign in / Sign up

Export Citation Format

Share Document