3/9/2023 0 Comments Stefan karl karlson![]() Taking a whole-system approach was reported as essential to successful conservation because the hydrological conditions, chemical properties and biota are intrinsically linked. We found that there is consistent evidence that rewetting, shading or mulching, reprofiling, mowing, controlling grazers and active revegetation can improve the condition of degraded peatlands. Here, we used a rapid review approach to identify, appraise and synthesise scientific evidence on the effectiveness of conservation interventions intended to restore the hydrological conditions, chemical properties and/or characteristic biota of degraded boreal, montane, alpine and temperate peatlands globally. ‘Rapid evidence reviews’ have emerged in healthcare as a method of delivering key research findings to policymakers and decision-makers in a timely manner. Using the best-available evidence to identify management interventions that will effectively abate threats and restore ecological processes can help facilitate successful conservation. Restoring degraded peatlands requires re-establishing the key features that drive these ecosystems – the hydrological conditions, chemical properties and characteristic biota. However, land-use change, resource extraction and changing climates are threatening peatlands globally. Peatlands support unique biodiversity and provide essential ecosystem services, such as regulating climate and providing freshwater and food. Our results reveal how changes in water elevation have changed the patch distribution in significant ways, leading to the local extinction of cattail by 2019 and a continuous increase in the area cover of water lily patches. A set of vegetation maps was created for the years 2016 to 2020 at our research site to identify the vegetation changes at the site as it is affected by rapid water elevation increases in Lake Erie. The classification accuracy was higher in pixels of a more uniform composition. The resulting true-positive classified rate was >73% for all patch types other than water lily. We calculated the distance between the HLS-NDVI time series at each pixel and the “pure”-pixel standards for each land-cover type. These were identified using a single-time high-resolution image. To classify vegetation patches, a standard time series library of the four land-cover patch types was built from referencing specific locations that were identified as “pure” pixels. We demonstrate our approach at a temperate, coastal lake, estuarine marsh. This study aimed to use NDVI time series, generated from NASA’s HLS dataset, to classify vegetation patches. To date, most remote sensing classification approaches for wetland vegetation either rely on coarse images that cannot capture the spatial variability of wetland vegetation or rely on very-high-resolution multi-spectral images that are detailed but very sporadic in time (less than once per year). Hydrological and biogeochemical processes in wetlands vary strongly among these ecosystem patches. Natural wetlands are intrinsically heterogeneous and typically composed of a mosaic of ecosystem patches with different vegetation types. ![]()
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