Equivalent biodiversity area: A novel metric for No Net Loss success in Brazil's changing biomes.

This study presents a new method to incorporate the No Net Loss (NNL) principle within corporate Environmental, Social, and Governance (ESG) frameworks. This principle aims to ensure that biodiversity losses from human activities are fully offset. In this context, we tackle two main challenges: managing epistemic uncertainties in environmental modeling and accurately assessing compensatory areas needed to replace lost habitats. Focusing on Brazil's diverse biomes, which are undergoing rapid changes, we highlight the role of expert opinion surveys in addressing the uncertainties of the InVEST Habitat Quality, a model that simulates changes in landscape integrity under different land use scenarios. Our analysis across three of Brazil's regions - Caatinga Semi-arid, Cerrado Savanna, and Atlantic Forest - leverages open-source data to reveal substantial habitat losses due to activities like wind farm development, mining, and intensive agriculture, leading to a widespread decline in habitat quality. We introduce the Equivalent Biodiversity Area (EBA) metric to support NNL and Net Gain of Biodiversity efforts, measured in hectares. Findings show a reduction in EBA across all studied areas, highlighting the need for effective compensation strategies. Such strategies should merge Legal Reserves and ecological restoration into ESG policies, encourage landholder collaboration, and align with larger environmental efforts, such as watershed revitalization and Biodiversity Credits markets.

Technological Hazard Vulnerability: A GIS-Based Approach for Supporting Environmental Zoning.

Technological hazard assessments are extremely rare in Brazil, despite their importance for planning. Aquatic systems are of particular concern, since they are the endpoint of every process occurring in the watershed, including technological disasters. Thus, our goal is to map the technological hazard vulnerability in lagoon systems though a geographic information systems (GIS) model. The technological hazard vulnerability model consists of the spatial overlapping of technological pressure and fragility, having environmental systems as spatial units. The methodology was applied to the lagoon systems of the Rio Grande do Sul State, Southern Brazil, as a case study. The very high vulnerability of the Northern Guaíba Lake is due to the high concentration of technological infrastructures combined with high fragilities of wetland systems. In the Patos Lagoon Estuary, highly vulnerable systems consist mostly in shallow waters. The Mirim Lagoon was less vulnerable compared to other systems, due to a much smaller occurrence of elements of technological pressure. The proposed methodology allowed for the identification of environmental systems particularly vulnerable to technological hazards, where management efforts must be more intense. The results were used for the Ecological-Economic Zoning of the Rio Grande do Sul, as well as to revise the water quality framework of the Patos Lagoon estuary, currently underway. Integr Environ Assess Manag 2021;17:445-454. © 2020 SETAC.