Hamed Gholizadeh | Search USGS

USGS2025

Methodology for quantifying biodiversity

Protected and Conserved Areas (PCAs) are usually created and managed for multiple values, with biodiversity conservation being the primary value for most PCAs (see Chapter 1). When using Natural Climate Solutions (NCS) or Ecosystem-based Management (EBM) approaches to climate change mitigation, it is important to ensure that there are no unintended negative consequences on biodiversity and co-benefits for biodiversity are sought. This requires baseline biodiversity information and periodic monitoring. The Convention on Biological Diversity (CBD) has developed a monitoring framework to measure progress (CBD COP 15 2022) towards the GBF. The framework consists of: • headline indicators for national, regional and global monitoring; • global level indicators (collated from yes/no responses in national reports and used to provide a count of the number of countries having undertaken specific activities); • component indicators (which are a list of optional indicators that may apply at global, regional, national and sub-national levels); • complementary indicators (which are a list of optional indicators for thematic or in-depth analysis of each goal and target). Further details of the monitoring framework can be found in Decision 15/5: Monitoring framework for the Kunming-Montreal Global Biodiversity Framework (CBD COP 15, 2022). See Table 5.1 for headline indicators and related targets that they measure. These indicators are used to track national progress towards the GBF. However, those designing sub-national or regional PCA frameworks can use them as well. Biodiversity can be measured at different scales, both spatially and temporally, and at different levels and attributes of biological organisation (Noss, 1990). The Kunming-Montreal Global Biodiversity Framework (GBF) (Convention on Biological Diversity, 2022, December 18) includes goals and targets across scales, with Targets 1 and 3 focused on spatial planning and PCA creation, Targets 2 and 4 focused on restoration and species management to prevent extinction, Target 5 focused on fish stocks, Target 8 on minimising climate change impacts, Target 11 on ecosystem services, and Target 21 on biodiversity information for monitoring the GBF.

IUCN WCPA Protected Area Technical Report Series↗

USGS2021

NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms

The 2017–2027 National Academies' Decadal Survey, Thriving on Our Changing Planet , recommended Surface Biology and Geology (SBG) as a “Designated Targeted Observable” (DO). The SBG DO is based on the need for capabilities to acquire global, high spatial resolution, visible to shortwave infrared (VSWIR; 380–2500 nm; ~30 m pixel resolution) hyperspectral (imaging spectroscopy) and multispectral midwave and thermal infrared (MWIR: 3–5 μm; TIR: 8–12 μm; ~60 m pixel resolution) measurements with sub-monthly temporal revisits over terrestrial, freshwater, and coastal marine habitats. To address the various mission design needs, an SBG Algorithms Working Group of multidisciplinary researchers has been formed to review and evaluate the algorithms applicable to the SBG DO across a wide range of Earth science disciplines, including terrestrial and aquatic ecology, atmospheric science, geology, and hydrology. Here, we summarize current state-of-the-practice VSWIR and TIR algorithms that use airborne or orbital spectral imaging observations to address the SBG DO priorities identified by the Decadal Survey: (i) terrestrial vegetation physiology, functional traits, and health; (ii) inland and coastal aquatic ecosystems physiology, functional traits, and health; (iii) snow and ice accumulation, melting, and albedo; (iv) active surface composition (eruptions, landslides, evolving landscapes, hazard risks); (v) effects of changing land use on surface energy, water, momentum, and carbon fluxes; and (vi) managing agriculture, natural habitats, water use/quality, and urban development. We review existing algorithms in the following categories: snow/ice, aquatic environments, geology, and terrestrial vegetation, and summarize the community-state-of-practice in each category. This effort synthesizes the findings of more than 130 scientists.

Remote Sensing of Environment↗