Indicator‐based natural capital reporting to inform decision‐making in the Brazilian Pantanal

Author:

Fairbrass Alison J.1ORCID,Moretti Victor2,Quaresma Elvander2,Ribeiro Celma2,de Oliveira Roque Fabio3ORCID,Oller Claudio2,Tomei Julia1ORCID

Affiliation:

1. Institute for Sustainable Resources University College London London UK

2. Polytechnic School University of São Paulo São Paulo Brazil

3. Universidade Federal de Mato Grosso do Sul (UFMS) Campo Grande Mato Grosso do Sul Brazil

Abstract

AbstractThe natural capital indicator framework (NCIF) offers an entry‐level approach to natural capital reporting using existing data sources and indicators. Here, we test the NCIF for the first time in the megadiverse Pantanal biome in Brazil. We compile publicly available indicators on the cattle, soy, fishing, and nature‐based tourism industries alongside indicators on the state of the biome and its ecosystem services. We show that the NCIF is quick to implement using existing environmental and socioeconomic indicators produced by public and NGO statistics communities. However, we identify significant gaps in indicators on the condition and economic value of the biome, the human investment required to derive benefits from the biome, emissions produced by the industries that exploit the biome, and the ecosystem services that maintain the functioning of the biome, such as nutrient cycling and biodiversity. Existing initiatives in Brazil could fill natural capital reporting gaps, including Brazil's experimental natural capital accounts. The NCIF provides a structured approach to highlight gaps in natural capital reporting and guide decision‐makers to prioritize investment in filling data and reporting gaps. Systematic, transnational monitoring must fill gaps in natural capital data to inform decision‐making in the megadiverse Pantanal biome.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3