Spatio-temporal prediction of tree mortality based on long-term sample plots, climate change scenarios and parametric frailty modeling

Population growth and climate change is projected to increase the pressure on land and water resources, especially in arid and semi-arid regions. This pressure is expected to affect all driving mechanisms of soil salinization comprising alteration in soil hydrological balance, sea salt intrusion, wet/dry deposition of wind-born saline aerosols &#8212; leading to an increase in soil salinity. Soil salinity influences soil stability, bio-diversity, ecosystem functioning and soil water evaporation (1). It can be a long-term threat to agricultural activities and food security. To devise sustainable action plan investments and policy interventions, it is crucial to know when and where salt-affected soils occur. However, current estimates on spatio-temporal variability of salt-affected soils are majorly localized and future projections in response to climate change are rare. Using Machine Learning (ML) algorithms, we related the available measured soil salinity values (represented by electrical conductivity of the saturated paste soil extract, ECe) to some environmental information (or predictors including outputs of Global Circulation Models, soil, crop, topographic, climatic, vegetative, and landscape properties of the sampling locations) to develop a set of data-driven predictive tools to enable the spatio-temporal predictions of soil salinity. The outputs of these tools helped us to estimate the extent and severity of the soil salinity under current and future climatic patterns at different geographical levels and identify the salinization hotspots by the end of the 21st century in response to climate change. Our analysis suggests that a soil area of 11.73 Mkm2 located in non-frigid zones has been salt-affected in at least three-fourths of the 1980 - 2018 period (2). At the country level, Brazil, Peru, Sudan, Colombia, and Namibia were estimated to have the highest rates of annual increase in the total area of soils with an ECe &#8805; 4 dS m-1. Additionally, the results indicate that by the end of the 21st century, drylands of South America, southern and Western Australia, Mexico, southwest United States, and South Africa will be the salinization hotspots (compared to the 1961 - 1990 period). The results of this study could inform decision-making and contribute to attaining the United Nation&#8217;s Sustainable Development Goals for land and water resources management.1. Shokri-Kuehni, S.M.S., Raaijmakers, B., Kurz, T., Or, D., Helmig, R., Shokri, N. (2020). Water Table Depth and Soil Salinization: From Pore-Scale Processes to Field-Scale Responses. Water Resour. Res., 56, e2019WR026707. https://doi.org/ 10.1029/2019WR0267072. Hassani, A., Azapagic, A., Shokri, N. (2020). Predicting Long-term Dynamics of Soil Salinity and Sodicity on a Global Scale, Proc. Nat. Acad. Sci., 117, 52, 33017&#8211;33027. https://doi.org/10.1073/pnas.2013771117

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Spatio-temporal prediction of site index based on forest inventories and climate change scenarios

Forest Ecology and Management ◽

10.1016/j.foreco.2012.05.018 ◽

2012 ◽

Vol 279 ◽

pp. 97-111 ◽

Cited By ~ 53

Author(s):

Arne Nothdurft ◽

Thilo Wolf ◽

Andre Ringeler ◽

Jürgen Böhner ◽

Joachim Saborowski

Keyword(s):

Climate Change ◽

Site Index ◽

Climate Change Scenarios ◽

Temporal Prediction ◽

Forest Inventories ◽

Spatio Temporal

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Assessing the long-term effectiveness of Nature-Based Solutions under different climate change scenarios

The Science of The Total Environment ◽

10.1016/j.scitotenv.2021.148515 ◽

2021 ◽

pp. 148515

Author(s):

Eulalia Gómez Martín ◽

María Máñez Costa ◽

Sabine Egerer ◽

Uwe Schneider

Keyword(s):

Climate Change ◽

Climate Change Scenarios

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Climate Change Influences Basidiome Emergence of Leaf-Cutting Ant Cultivars

Journal of Fungi ◽

10.3390/jof7110912 ◽

2021 ◽

Vol 7 (11) ◽

pp. 912

Author(s):

Rodolfo Bizarria ◽

Pepijn W. Kooij ◽

Andre Rodrigues

Keyword(s):

Climate Change ◽

Climate Change Scenarios ◽

Nest Architecture ◽

Historical Records ◽

Climate Data ◽

Temperature And Precipitation ◽

Data Analyses ◽

Symbiotic Mutualism ◽

Leaf Cutting

Maintaining symbiosis homeostasis is essential for mutualistic partners. Leaf-cutting ants evolved a long-term symbiotic mutualism with fungal cultivars for nourishment while using vertical asexual transmission across generations. Despite the ants’ efforts to suppress fungal sexual reproduction, scattered occurrences of cultivar basidiomes have been reported. Here, we review the literature for basidiome occurrences and associated climate data. We hypothesized that more basidiome events could be expected in scenarios with an increase in temperature and precipitation. Our field observations and climate data analyses indeed suggest that Acromyrmex coronatus colonies are prone to basidiome occurrences in warmer and wetter seasons. Even though our study partly depended on historical records, occurrences have increased, correlating with climate change. A nest architecture with low (or even the lack of) insulation might be the cause of this phenomenon. The nature of basidiome occurrences in the A. coronatus–fungus mutualism can be useful to elucidate how resilient mutualistic symbioses are in light of climate change scenarios.

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Climate change impacts the protective effect of forests: A case study in Switzerland

10.21203/rs.3.rs-346221/v1 ◽

2021 ◽

Author(s):

Christine Moos ◽

Antoine Guisan ◽

Christophe F. Randin ◽

Heike Lischke

Keyword(s):

Climate Change ◽

Protective Effect ◽

Climate Warming ◽

Swiss Alps ◽

Present Species ◽

Future Research ◽

Change Scenario ◽

Climate Change Scenarios ◽

Ground Truth Data

Abstract In steep terrain, forests play an important role as natural means of protection against natural hazards, such as rockfall. Due to climate warming, significant changes in the protection service of these forests have to be expected in future. Shifts of current to more drought adapted species may result in temporary or even irreversible losses in the risk reduction provided by these forests. In this study, we assessed how the protective effect against rockfall of a protection forest in the western part of the Valais in the Swiss Alps may change in future, by combining dynamic forest modelling with a quantitative risk analysis. Current and future forest development was modelled with the spatially explicit forest model TreeMig for a moderate (RCP4.5) and an extreme (RCP8.5) climate change scenario. The simulated forest scenarios were compared to ground-truth data from the current forest complex. We quantified the protective effect of the different forest scenarios based on the reduction of rockfall risk for people and infrastructure at the bottom of the slope. Rockfall risk was calculated on the basis of three-dimensional rockfall simulations. The forest simulations predicted a clear decrease in basal area of most of the currently present species in future. The forest turned into a Q. pubescens dominated forest, for both climate scenarios, and mixed with P. sylvestris in RCP4.5. F. sylvatica completely disappeared in RCP8.5. With climate warming, a clear increase in risk is expected for both climate change scenarios. In the long-term (> 100 years), a stabilization of risk, or even a slight decline may be expected due to an increase in biomass of the trees. The results of this study further indicate that regular forest interventions may promote regeneration and thus accelerate the shift in species distribution. Future research should address the long-term effect of different forest management strategies on the protection service of forests under climate change.

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A Hydrological Modeling Approach for Assessing the Impacts of Climate Change on Runoff Regimes in Slovakia

Water ◽

10.3390/w13233358 ◽

2021 ◽

Vol 13 (23) ◽

pp. 3358

Author(s):

Patrik Sleziak ◽

Roman Výleta ◽

Kamila Hlavčová ◽

Michaela Danáčová ◽

Milica Aleksić ◽

...

Keyword(s):

Climate Change ◽

Water Resources ◽

Hydrological Modeling ◽

Performance Metrics ◽

Climate Change Scenarios ◽

Reference Period ◽

Changing Climate ◽

Time Horizons ◽

The Future

The changing climate is a concern with regard to sustainable water resources. Projections of the runoff in future climate conditions are needed for long-term planning of water resources and flood protection. In this study, we evaluate the possible climate change impacts on the runoff regime in eight selected basins located in the whole territory of Slovakia. The projected runoff in the basins studied for the reference period (1981–2010) and three future time horizons (2011–2040, 2041–2070, and 2071–2100) was simulated using the HBV (Hydrologiska Byråns Vattenbalansavdelning) bucket-type model (the TUW (Technische Universität Wien) model). A calibration strategy based on the selection of the most suitable decade in the observation period for the parameterization of the model was applied. The model was first calibrated using observations, and then was driven by the precipitation and air temperatures projected by the KNMI (Koninklijk Nederlands Meteorologisch Instituut) and MPI (Max Planck Institute) regional climate models (RCM) under the A1B emission scenario. The model’s performance metrics and a visual inspection showed that the simulated runoff using downscaled inputs from both RCM models for the reference period represents the simulated hydrological regimes well. An evaluation of the future, which was performed by considering the representative climate change scenarios, indicated that changes in the long-term runoff’s seasonality and extremality could be expected in the future. In the winter months, the runoff should increase, and decrease in the summer months compared to the reference period. The maximum annual daily runoff could be more extreme for the later time horizons (according to the KNMI scenario for 2071–2100). The results from this study could be useful for policymakers and river basin authorities for the optimum planning and management of water resources under a changing climate.

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Recruitment patterns following a severe drought: long-term compositional shifts in Patagonian forests

Canadian Journal of Forest Research ◽

10.1139/x08-149 ◽

2008 ◽

Vol 38 (12) ◽

pp. 3002-3010 ◽

Cited By ~ 80

Author(s):

María L. Suarez ◽

Thomas Kitzberger

Keyword(s):

Vegetation Change ◽

Forest Canopy ◽

Tree Mortality ◽

Forest Composition ◽

Future Climate Change ◽

Severe Drought ◽

Climate Change Scenarios ◽

Recruitment Pattern ◽

Recruitment Patterns

Severe droughts have the potential of inducing transient shifts in forest canopy composition by altering species-specific adult tree mortality patterns. However, permanent vegetation change will occur only if tree recruitment patterns are also affected. Here, we analyze how a massive mortality event triggered by the 1998–1999 drought affected adult and sapling mortality and recruitment in a mixed Nothofagus dombeyi (Mirb.) Blume – Austrocedrus chilensis (D. Don) Flor. et Boult. forests of northern Patagonia. Comparing drought-induced and tree-fall gaps, we assessed changes in forest composition, microenvironments, and seedling density and survival of both species. Drought-kill disturbance shifted species composition of both canopy and sapling cohorts in favour of A. chilensis. Drought gaps were characterized by a shadier and more xeric environment, affecting the recruitment pattern of N. dombeyi seedlings. The seedling cohort was composed mostly of A. chilensis, and its survival was always higher than that of N. dombeyi. Additionally, A. chilensis seedlings showed higher plasticity than N. dombeyi seedlings, increasing its root to shoot ratios in drought gaps. The results suggest that extreme drought itself is a strong driving force in forest dynamics, with important imprints on forest landscapes. Future climate-change scenarios, projecting an increased in frequency and severity of droughts, alert us about expected long-term compositional shifts in many forest ecosystems.

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Water Quality Sustainability Evaluation under Uncertainty: A Multi-Scenario Analysis Based on Bayesian Networks

Sustainability ◽

10.3390/su11174764 ◽

2019 ◽

Vol 11 (17) ◽

pp. 4764 ◽

Cited By ~ 7

Author(s):

Anna Sperotto ◽

Josè Luis Molina ◽

Silvia Torresan ◽

Andrea Critto ◽

Manuel Pulido-Velazquez ◽

...

Keyword(s):

Climate Change ◽

Water Resources ◽

Bayesian Networks ◽

Climate Model ◽

Future Climate Change ◽

Climate Projections ◽

Climate Change Scenarios ◽

Large Variability ◽

Nutrient Loadings

With increasing evidence of climate change affecting the quality of water resources, there is the need to assess the potential impacts of future climate change scenarios on water systems to ensure their long-term sustainability. The study assesses the uncertainty in the hydrological responses of the Zero river basin (northern Italy) generated by the adoption of an ensemble of climate projections from 10 different combinations of a global climate model (GCM)–regional climate model (RCM) under two emission scenarios (representative concentration pathways (RCPs) 4.5 and 8.5). Bayesian networks (BNs) are used to analyze the projected changes in nutrient loadings (NO3, NH4, PO4) in mid- (2041–2070) and long-term (2071–2100) periods with respect to the baseline (1983–2012). BN outputs show good confidence that, across considered scenarios and periods, nutrient loadings will increase, especially during autumn and winter seasons. Most models agree in projecting a high probability of an increase in nutrient loadings with respect to current conditions. In summer and spring, instead, the large variability between different GCM–RCM results makes it impossible to identify a univocal direction of change. Results suggest that adaptive water resource planning should be based on multi-model ensemble approaches as they are particularly useful for narrowing the spectrum of plausible impacts and uncertainties on water resources.

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Subnational violent conflict forecasts for sub-Saharan Africa, 2015–65, using climate-sensitive models

Journal of Peace Research ◽

10.1177/0022343316682064 ◽

2017 ◽

Vol 54 (2) ◽

pp. 175-192 ◽

Cited By ~ 23

Author(s):

Frank DW Witmer ◽

Andrew M Linke ◽

John O’Loughlin ◽

Andrew Gettelman ◽

Arlene Laing

Keyword(s):

Climate Change ◽

Violent Conflict ◽

Sub Saharan Africa ◽

Population Projections ◽

High Fertility ◽

Climate Change Scenarios ◽

Political Rights ◽

Monthly Data ◽

Spatio Temporal ◽

Sub Saharan

How will local violent conflict patterns in sub-Saharan Africa evolve until the middle of the 21st century? Africa is recognized as a particularly vulnerable continent to environmental and climate change since a large portion of its population is poor and reliant on rain-fed agriculture. We use a climate-sensitive approach to model sub-Saharan African violence in the past (geolocated to the nearest settlements) and then forecast future violence using sociopolitical factors such as population size and political rights (governance), coupled with temperature anomalies. Our baseline model is calibrated using 1° gridded monthly data from 1980 to 2012 at a finer spatio-temporal resolution than existing conflict forecasts. We present multiple forecasts of violence under alternative climate change scenarios (optimistic and current global trajectories), of political rights scenarios (improvement and decline), and population projections (low and high fertility). We evaluate alternate shared socio-economic pathways (SSPs) by plotting violence forecasts over time and by detailed mapping of recent and future levels of violence by decade. The forecasts indicate that a growing population and rising temperatures will lead to higher levels of violence in sub-Saharan Africa if political rights do not improve. If political rights continue to improve at the same rate as observed over the last three decades, there is reason for optimism that overall levels of violence will hold steady or even decline in Africa, in spite of projected population increases and rising temperatures.

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Mediterranean Tropical-Like Cyclones in Present and Future Climate

Journal of Climate ◽

10.1175/jcli-d-14-00339.1 ◽

2014 ◽

Vol 27 (19) ◽

pp. 7493-7501 ◽

Cited By ~ 40

Author(s):

Leone Cavicchia ◽

Hans von Storch ◽

Silvio Gualdi

Keyword(s):

Climate Change ◽

Mediterranean Sea ◽

Tropical Cyclones ◽

Dynamical Evolution ◽

Climate Change Scenarios ◽

Moderate Increase ◽

High Resolution Data ◽

The Mediterranean ◽

The One

Abstract The Mediterranean has been identified as one of the most responsive regions to climate change. It has been conjectured that one of the effects of a warmer climate could be to make the Mediterranean Sea prone to the formation of hurricanes. Already in the present climate regime, however, a few of the numerous low pressure systems that form in the area develop a dynamical evolution similar to the one of tropical cyclones. Even if their spatial extent is generally smaller and the life cycle shorter compared to tropical cyclones, such storms produce severe damage on the highly populated coastal areas surrounding the Mediterranean Sea. This study, based on the analysis of individual realistically simulated storms in homogeneous long-term and high-resolution data from multiple climate change scenarios, shows that the projected effect of climate change on Mediterranean tropical-like cyclones is decreased frequency and a tendency toward a moderate increase of intensity.

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