A recent report by the Nature Conservancy and Next 10 shows that nature based solutions to climate change can be a cost-effective means of reducing carbon emissions and can produce many co-benefits. The authors used ST-Sim software to build an integrated model of landscape change and carbon dynamics for the state of California which allowed them to quantify emissions associated with different land use interventions in forests, farms, and rangelands. The effectiveness of these land use interventions to reduce emissions was evaluated under two different climate scenarios out to 2030, 2050, and 2100.
A recent paper published in Frontiers in Ecology and Evolution proposes that traditional networks of permanent protected areas may be more effective at conserving biodiversity under climate change if they are augmented with dynamic conservation areas. The paper was the brain child of a working group funded by the Canadian Institute for Ecology and Evolution that was made up of researchers from academia, government, NGOs, and ApexRMS.
Early registration ends Tuesday, Feb 19!
This two-day online course establishes the fundamentals attendees need to use the free ST-Sim software to develop spatially-explicit, integrated models of both landscape change and carbon dynamics.
For additional details please visit:
Opportunities to expand Canada’s protected area system are the focus of a new study published in a special issue on Biodiversity and Protected Areas in the journal Land. The study was authored by scientists at the Canadian Forest Service, McGill University, and ApexRMS. The authors argue that diversifying the management and governance types represented in Canada’s protected area system could expedite its expansion and contribute to long-term biodiversity conservation in Canada.
Bronwyn Rayfield recently conducted a broad-scale, multi-species connectivity assessment across the entire St. Lawrence Lowlands in collaboration with Andrew Gonzalez, at McGill University. Read the full report (in French) at:
Check out the interactive tool created by our co-author Guillaume Larocque that allows you to explore how different species experience connectivity in the St. Lawrence Lowlands:
A recent study led by the US Geological Survey published in the journal Environmental Research Letters used ST-Sim to estimate the ecosystem carbon balance for the continental United States (CONUS) over the period from 1973 to 2010. The study used remotely sensed data to estimate the effects of land use and land cover change on ecosystem carbon balance. The study estimates that on average, ecosystems in CONUS have been a net carbon sink (254 TG Carbon per year) but that there is much inter annual variability. Forests are the largest carbon sink and the size of the sink due to forests has declined by 35% over the study period. The reasons for the decline in the size of the forest carbon sink are forest ageing and a reduction in the total area of forests in CONUS. The historic ecosystem carbon balance is more uncertain prior to 1985 when remotely sensed data sets of wildfire and other disturbances became available. In future, the model developed in this study could be used to evaluate the effects of alternative land use policies on future ecosystem carbon balance.
This journal article by Brian Miller and others, published in the journal Ecosphere, demonstrates how a scenario planning process can be combined with a state-and-transition simulation model of vegetation dynamics to inform land management decisions for rangelands in the face of climate change. The study highlights the benefits and challenges of engaging stakeholders in the development of simulation models to support decision making. The authors also identify some key tradeoffs between grazer density and vegetation composition, as well as between the short‐ and long‐term costs of invasive species management.
Course & Workshop
California Air Resources Board
U.S. Geological Survey
Apex Resource Management Solutions
This unique event begins with a two-day online course on the fundamentals of developing state-and-transition simulation models of landscape change, followed by an optional one-day workshop on how this approach has been used to integrate projections of land-use/land-cover change and terrestrial carbon dynamics across the state of California.
State-and-transition simulation modeling online course: June 12-13, 2018
This two-day course establishes the fundamentals attendees need to use the free ST-Sim software to develop spatially-explicit, integrated models of both landscape change and carbon dynamics. The course will be delivered interactively online with an option to follow the course in a group setting at the California Air Resources headquarters in Sacramento, California.
California land use and terrestrial carbon modeling workshop: June 14, 2018
This workshop focuses on how the U.S. Geological Survey has used the ST-Sim software to develop and apply the Land Use and Carbon Scenario Simulator (LUCAS) in California. The California Air Resources Board will host this workshop at their headquarters in Sacramento, California, with live-streaming available for those who are unable to attend in-person.
For additional details please visit: www.apexrms.com/training
In December 2017, Colin Daniel and others published a study in the journal Methods in Ecology and Evolution describing a new approach for integrating continuous stocks and flows into a state-and-transition simulation model (STSM). This is the method behind the Stock-Flow Add-On to the ST-Sim software, which allows users to extend their models developed in ST-Sim to include interactions between continuous state variables and STSMs. For example, a model in ST-Sim can now track forest carbon in any number of continuous carbon pools (i.e., live biomass, deadwood and soil), with fluxes between these carbon pools triggered by wildfire transitions in the STSM. The paper illustrates the approach by extending the original Hawaii STSM case study in Daniel et al. 2016 to integrated a spatially-explicit carbon budget model with a STSM of land use/land cover change.