The Use of Global-Change Scenarios to Determine Changes in Species and Habitats

2001 ◽  
pp. 23-45
Author(s):  
Rik Leemans
Keyword(s):  
Global Change ◽  
Global Change Scenarios

scholarly journals Sensitivities to global change drivers may correlate positively or negatively in a foundational marine macroalga

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Balsam Al-Janabi ◽  
Martin Wahl ◽  
Ulf Karsten ◽  
Angelika Graiff ◽  
Inken Kruse
Keyword(s):  
Global Change ◽  
Nutrient Enrichment ◽  
Ecological Impact ◽  
Intraspecific Variability ◽  
Fucus Vesiculosus ◽  
The Other ◽  
Natural Experiments ◽  
Full Sibling ◽  
Global Change Scenarios ◽  
Marine Macroalga

Abstract Ecological impact of global change is generated by multiple synchronous or asynchronous drivers which interact with each other and with intraspecific variability of sensitivities. In three near-natural experiments, we explored response correlations of full-sibling germling families of the seaweed Fucus vesiculosus towards four global change drivers: elevated CO2 (ocean acidification, OA), ocean warming (OW), combined OA and warming (OAW), nutrient enrichment and hypoxic upwelling. Among families, performance responses to OA and OW as well as to OAW and nutrient enrichment correlated positively whereas performance responses to OAW and hypoxia anti-correlated. This indicates (i) that families robust to one of the three drivers (OA, OW, nutrients) will also not suffer from the two other shifts, and vice versa and (ii) families benefitting from OAW will more easily succumb to hypoxia. Our results may imply that selection under either OA, OW or eutrophication would enhance performance under the other two drivers but simultaneously render the population more susceptible to hypoxia. We conclude that intraspecific response correlations have a high potential to boost or hinder adaptation to multifactorial global change scenarios.

Using dynamical downscaling to close the gap between global change scenarios and local permafrost dynamics

2007 ◽  
Vol 56 (1-2) ◽  
pp. 203-214 ◽  
Author(s):  
Martin Stendel ◽  
Vladimir E. Romanovsky ◽  
Jens H. Christensen ◽  
Tatiana Sazonova
Keyword(s):  
Global Change ◽  
Dynamical Downscaling ◽  
Global Change Scenarios

Marine hydrothermal vents as templates for global change scenarios

Hydrobiologia ◽  
2018 ◽  
Vol 818 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Hans-Uwe Dahms ◽  
Nikolaos V. Schizas ◽  
R. Arthur James ◽  
Lan Wang ◽  
Jiang-Shiou Hwang
Keyword(s):  
Global Change ◽  
Hydrothermal Vents ◽  
Global Change Scenarios

scholarly journals GLOBAL LAND-USE AND LAND-COVER DATA FOR ECOLOGISTS: HISTORICAL, CURRENT AND FUTURE SCENARIOS

2021 ◽  
Author(s):  
Mariana Moncassim Vale ◽  
Taina Carreira da Rocha ◽  
Matheus de Souza Lima Ribeiro
Keyword(s):  
Land Use ◽  
Global Change ◽  
Land Cover ◽  
Ecological Niche Modeling ◽  
Climatic Conditions ◽  
Land Use Land Cover ◽  
Distribution Models ◽  
Change Analysis ◽  
Land Cover Data ◽  
Global Change Scenarios

Land-use land-cover (LULC) data are important predictors of species occurrence and biodiversity threat. Although there are LULC datasets available for ecologists under current conditions, there is a lack of such data under historical and future climatic conditions. This hinders, for example, projecting niche and distribution models under global change scenarios at different times. The Land Use Harmonization Project (LUH2) is a global terrestrial dataset at 0.25° spatial resolution that provides LULC data from 850 to 2300 for 12 LULC state classes. The dataset, however, is compressed in a file format (NetCDF) that is incompatible with most ecological analysis and intractable for most ecologists. Here we selected and transformed the LUH2 data in order to make it more useful for ecological studies. We provide LULC for every year from 850 to 2100, with data from 2015 on provided under two Shared Socioeconomic Pathways (SSP2 and SSP5). We provide two types of file for each year: separate files with continuous values for each of the 12 LULC state classes, and a single categorical file with all state classes combined. To create the categorical layer, we assigned the state with the highest value in a given pixel among the 12 continuous data. The final dataset provides LULC data for 1251 years that will be of interest for macroecology, ecological niche modeling, global change analysis, and other applications in ecology and conservation. We also provide a description of LUH2 prediction of future LULC change through time.

scholarly journals European small pelagic fish distribution under global change scenarios

2020 ◽  
Vol 22 (1) ◽  
pp. 212-225
Author(s):  
Alexandre Schickele ◽  
Eric Goberville ◽  
Boris Leroy ◽  
Gregory Beaugrand ◽  
Tarek Hattab ◽  
...  
Keyword(s):  
Global Change ◽  
Pelagic Fish ◽  
Fish Distribution ◽  
Small Pelagic Fish ◽  
Global Change Scenarios

scholarly journals Global land-use and land-cover data for ecologists: Historical, current, and future scenarios

2021 ◽  
Vol 16 (1) ◽  
pp. 28-38
Author(s):  
Tainá Rocha ◽  
Mariana M Vale ◽  
Matheus S. Lima-Ribeiro
Keyword(s):  
Land Use ◽  
Global Change ◽  
Land Cover ◽  
Ecological Niche Modeling ◽  
Climatic Conditions ◽  
Land Use Land Cover ◽  
Distribution Models ◽  
Change Analysis ◽  
Land Cover Data ◽  
Global Change Scenarios

Land-use land-cover (LULC) data are important predictors of species occurrence and biodiversity threat. Although there are LULC datasets available for ecologists under current conditions, there is a lack of such data under historical and future climatic conditions. This hinders, for example, projecting niche and distribution models under global change scenarios at different times. The Land Use Harmonization Project (LUH2) is a global terrestrial dataset at 0.25o spatial resolution that provides LULC data from 850 to 2300 for 12 LULC state classes. The dataset, however, is compressed in a file format (NetCDF) that is incompatible with most ecological analysis and intractable for most ecologists. Here we selected and transformed the LUH2 data in order to make it more useful for ecological studies. We provide LULC for every year from 850 to 2100, with data from 2015 on provided under two Shared Socioeconomic Pathways (SSP2 and SSP5). We provide two types of file for each year: separate files with continuous values for each of the 12 LULC state classes, and a single categorical file with all state classes combined. To create the categorical layer, we assigned the state with the highest value in a given pixel among the 12 continuous data. The final dataset provides LULC data for 1251 years that will be of interest for macroecology, ecological niche modeling, global change analysis, and other applications in ecology and conservation. We also provide a description of LUH2 prediction of future LULC change through time.

scholarly journals A global database of plant production and carbon exchange from global change manipulative experiments

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Jian Song ◽  
Jingyi Ru ◽  
Mengmei Zheng ◽  
Haidao Wang ◽  
Yongge Fan ◽  
...  
Keyword(s):  
Global Change ◽  
Carbon Cycling ◽  
Plant Production ◽  
Atmospheric Composition ◽  
Carbon Exchange ◽  
Terrestrial Carbon ◽  
Global Database ◽  
Precipitation Regimes ◽  
Manipulative Experiments ◽  
Global Change Scenarios

Abstract Numerous ecosystem manipulative experiments have been conducted since 1970/80 s to elucidate responses of terrestrial carbon cycling to the changing atmospheric composition (CO2 enrichment and nitrogen deposition) and climate (warming and changing precipitation regimes), which is crucial for model projection and mitigation of future global change effects. Here, we extract data from 2,242 publications that report global change manipulative experiments and build a comprehensive global database with 5,213 pairs of samples for plant production (productivity, biomass, and litter mass) and ecosystem carbon exchange (gross and net ecosystem productivity as well as ecosystem and soil respiration). Information on climate characteristics and vegetation types of experimental sites as well as experimental facilities and manipulation magnitudes subjected to manipulative experiments are also included in this database. This global database can facilitate the estimation of response and sensitivity of key terrestrial carbon-cycling variables under future global change scenarios, and improve the robust projection of global change‒terrestrial carbon feedbacks imposed by Earth System Models.

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