Wetlands Knowledge Search Results
Wetlands Knowledge Search Results
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La restauration écologique dans l’est du Québec et la péninsule acadienne - Symposium 2025 de SER-EC / ACRSD / CIC
Event
Event Date and Time
June 1st, 2025 at 12:00am to June 3rd, 2025 at 11:59pm
Québec, QC
Organization
Surveillez cet espace pour les nouvelles concernant le Symposium 2025 : La restauration écologique dans l’est du Québec et la péninsule acadienne. Un programme plus détaillé arrive sous peu. Venez...
Landform Design Institute Products
News
Organization
The Landform Design Institute (LDI) is dedicated to creating and supporting a community of landform design practitioners and helping their teams design and build truly sustainable mining landscapes...
Landmark Solutions
Organization
Landowner Guide to the Alberta Wetland Policy
Resource
The Landowner Guide to the Alberta Wetland Policy helps landowners understand their rights and responsibilities when working in and around wetlands on their farm or ranch under Alberta’s Wetland...
Landscape Context is More Important than Wetland Buffers for Farmland Amphibians
Resource
This resource is available on an external database and may require a paid subscription to access it. It is included on the CCLM to support our goal of capturing and sharing the breadth of all...
Landscape Ecology, Avian Information and the Rehabilitation of Wildland Complexes in the Greater Toronto Area
Resource
It is proposed that land regeneration projects should consider the total landscape or landscape ecology of a Site. This holistic approach would extend management plans that link the replacement of the...
Large Scale Mapping of Soil Organic Carbon Concentration with 3D Machine Learning and Satellite Observations
Resource
Canada has extensive forests and peatlands that play key roles in global carbon cycle. Canadian soils and peatlands are assumed to store approximately 20% of the world’s soil carbon stock. However...
Large Stocks of Peatland Carbon and Nitrogen are Vulnerable to Permafrost Thaw
Resource
Northern peatlands have accumulated large stocks of organic carbon (C) and nitrogen (N), but their spatial distribution and vulnerability to climate warming remain uncertain. Here, we used machine...
Large-scale Probabilistic Identification of Boreal Peatlands Using Google Earth Engine, Open-access Satellite Data, and Machine Learning
Resource
The resulting peatland occurrence model shows an accuracy of 87% compared to our validation data set. Differentiating peatlands from mineral wetlands achieved an accuracy of 69%.