{"id":9490,"date":"2018-02-23T15:12:58","date_gmt":"2018-02-23T20:12:58","guid":{"rendered":"https:\/\/cnr.ncsu.edu\/geospatial\/?page_id=9490"},"modified":"2022-07-25T11:28:30","modified_gmt":"2022-07-25T15:28:30","slug":"landscape-forecasting","status":"publish","type":"page","link":"https:\/\/cnr.ncsu.edu\/geospatial\/research\/landscape-forecasting\/","title":{"rendered":"Forecasting Landscape and Environmental Change"},"content":{"rendered":"\n
\"forecasting<\/figure>\n\n\n
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Explore the models<\/h2>\n <\/div>\n
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FUTURES<\/h3>\n \n\n \n\t \t

FUTURES, or FUTure Urban-Regional Environment Simulation, is an open source urban growth model designed to address the regional-scale ecological and environmental impacts of urbanization. It is one of the few land change models developed to explicitly capture the spatial structure of development.<\/p>\n\t \t \n

Learn how to use FUTURES<\/span>\n\t\t\t\n\t\t\t\n\t\t<\/svg><\/span><\/p>\n <\/div>\n\n <\/a>\n\n\n\n \n

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\n \"schematic\n <\/div>\n <\/div>\n \n
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LANDIS-II<\/h3>\n \n\n \n\t \t

The LANDIS-II model simulates landscape change as a function of disturbance (e.g., fire, wind, insects), forest management, land use change, and succession. Climate change effects are integrated throughout the model. The model is highly customizable with dozens of libraries (‘extensions’) to choose from.<\/p>\n\t \t \n

Learn how to use LANDIS-II<\/span>\n\t\t\t\n\t\t\t\n\t\t<\/svg><\/span><\/p>\n <\/div>\n\n <\/a>\n\n\n\n \n

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\n \"PoPS\n <\/div>\n <\/div>\n \n
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PoPS<\/h3>\n \n\n \n\t \t

PoPS, the Pest or Pathogen Spread forecast, predicts the spread of invasive plant pathogens and insect pests across large landscapes. Stakeholders employ this user-friendly modeling framework to support collaborative decision-making for management action.<\/p>\n\t \t \n

Learn how to use PoPS<\/span>\n\t\t\t\n\t\t\t\n\t\t<\/svg><\/span><\/p>\n <\/div>\n\n <\/a>\n<\/div>\n\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n\n\n\n

Learn more about the interdisciplinary researchers forecasting landscape and environmental change:<\/p>\n\n\n

Faculty at the <\/span>Frontier <\/span> <\/svg> <\/span><\/span><\/span><\/a><\/div>\n\n<\/div>\n\n\n\n\n

Join our user\/developer communities<\/h2>\n\n\n\n

All of the landscape forecasting models at the Center for Geospatial Analytics are open source and continue to expand and improve. We invite you engage with our user\/developer communities and help us learn from each other.<\/p>\n\n\n\n

FUTURES<\/h3>\n\n\n\n

Join us on the FUTURES online forum<\/a> to ask questions, connect with the development team, receive announcements and contribute to discussions. Visit the FUTURES webpage<\/a> for more information.<\/p>\n\n\n\n

LANDIS-II<\/h3>\n\n\n\n

The LANDIS-II community is very active with hundreds of users and developers worldwide. We welcome anyone to join the LANDIS-II community and to contribute. All model components are free and open-source. There are active bulletin boards for Users and Developers. And there are meetings and trainings held every year in various locations across the US and Canada. Please visit www.landis-ii.org<\/a> for further information.<\/p>\n\n\n\n

PoPS<\/h3>\n\n\n\n

Join us on the PoPS online forum<\/a> to ask questions, connect with the development team, receive announcements and contribute to discussions. Visit the PoPS webpage<\/a> for more information.<\/p>\n\n\n

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FORECASTING NEWS<\/h2>\n More<\/a>\n <\/div>\n
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\n \"Aerial\n <\/div>\n <\/div>\n \n
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\n September 30, 2024<\/span>\n <\/p>\n \n

Urban Growth Projections Offer Key Insights Shaping Conservation Decisions<\/h3>\n \n\n \n\t \t

Experts from the Southeast Conservation Adaptation Strategy (SECAS) share how the Center’s research informs and strengthens their conservation prioritization strategies.<\/span>\n\t\t\t\n\t\t\t\n\t\t<\/svg><\/span><\/p>\n\t \t \n <\/div>\n\n <\/a>\n\n \n

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\n November 07, 2023<\/span>\n <\/p>\n \n

New Model Adds Human Reactions to Flood Risk Assessment<\/h3>\n \n\n \n\t \t

By taking human adaptation into account, a new version of the FUTURES land change model offers a more realistic assessment of flood risk.<\/span>\n\t\t\t\n\t\t\t\n\t\t<\/svg><\/span><\/p>\n\t \t \n <\/div>\n\n <\/a>\n\n \n

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\n September 28, 2022<\/span>\n <\/p>\n \n

Natural Solutions and a Clean Water Future for the Cape Fear<\/h3>\n \n\n \n\t \t

Faculty Fellow Katherine Martin and her research team are using the Center\u2019s signature FUTURES land change model to simulate potential new development scenarios throughout the Cape Fear River Basin, to better understand how upstream land-use changes could impact downstream water quality.<\/span>\n\t\t\t\n\t\t\t\n\t\t<\/svg><\/span><\/p>\n\t \t \n <\/div>\n\n <\/a>\n\n \n

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\n \"Insect\n <\/div>\n <\/div>\n \n
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\n June 08, 2022<\/span>\n <\/p>\n \n

Forecasting the Arrival of an Insect Pest<\/h3>\n \n\n \n\t \t

Invasive agricultural pests are a big problem, and the first step to preventing or minimizing their damage is determining whether an area is environmentally suitable for invasion. Predicting *when* a pest is likely to arrive, though, is just as important as anticipating *where*…<\/span>\n\t\t\t\n\t\t\t\n\t\t<\/svg><\/span><\/p>\n\t \t \n <\/div>\n\n <\/a>\n\n \n

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\n June 08, 2022<\/span>\n <\/p>\n \n

Invasive Insect that Kills Grapes Could Reach California Wine Region by 2027<\/h3>\n \n\n \n\t \t

An NC State study predicts the spotted lanternfly has a low probability of first reaching the grape-producing counties of California by 2027, and a high probability by 2033.<\/span>\n\t\t\t\n\t\t\t\n\t\t<\/svg><\/span><\/p>\n\t \t \n <\/div>\n\n <\/a>\n\n \n

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\n April 20, 2022<\/span>\n <\/p>\n \n

New USDA-Funded Research Will Leverage Big Data and Machine Learning to Forecast Spread of Agricultural Pests<\/h3>\n \n\n \n\t \t

New research led by Center director Ross Meentemeyer and research scholar Chris Jones will address data gaps that have previously hindered the accuracy of, and rapid updates to, pest spread forecasts.<\/span>\n\t\t\t\n\t\t\t\n\t\t<\/svg><\/span><\/p>\n\t \t \n <\/div>\n\n <\/a>\n\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Learn more about the interdisciplinary researchers forecasting landscape and environmental change: Join our user\/developer communities All of the landscape forecasting models at the Center for Geospatial Analytics are open source…<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":11632,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"source":"","ncst_custom_author":"","ncst_show_custom_author":false,"ncst_dynamicHeaderBlockName":"ncst\/default-header","ncst_dynamicHeaderData":"{\"pageIntro\":\"At the Center for Geospatial Analytics, we develop dynamic spatial-temporal models to simulate patterns of landscape and environmental change and help decision-makers explore what may happen in the future under different scenarios. We cultivate an open source community of users and developers who advance these models and find new applications.\"}","ncst_content_audit_freq":"","ncst_content_audit_date":"","ncst_content_audit_display":false,"ncst_backToTopFlag":"","footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-9490","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/pages\/9490","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/comments?post=9490"}],"version-history":[{"count":15,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/pages\/9490\/revisions"}],"predecessor-version":[{"id":23449,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/pages\/9490\/revisions\/23449"}],"up":[{"embeddable":true,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/pages\/11632"}],"wp:attachment":[{"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/media?parent=9490"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}