| Literature DB >> 34962639 |
Eben Goodale1, Christos Mammides1,2, Wambura Mtemi1, You-Fang Chen1, Ranjit Barthakur3, Uromi Manage Goodale1, Aiwu Jiang1, Jianguo Liu4, Saurav Malhotra3, Madhava Meegaskumbura1, Maharaj K Pandit5, Guangle Qiu6, Jianchu Xu7, Kun-Fang Cao8,9, Kamaljit S Bawa10.
Abstract
As the two largest countries by population, China and India have pervasive effects on the ecosphere. Because of their human population size and long international boundary, they share biodiversity and the threats to it, as well as crops, pests and diseases. We ranked the two countries on a variety of environmental challenges and solutions, illustrating quantitatively their environmental footprint and the parallels between them regarding the threats to their human populations and biodiversity. Yet we show that China and India continue to have few co-authorships in environmental publications, even as their major funding for scientific research has expanded. An agenda for collaboration between China and India can start with the shared Himalaya, linking the countries' scientists and institutions. A broader agenda can then be framed around environmental challenges that have regional patterns. Coordinated and collaborative research has the potential to improve the two countries' environmental performance, with implications for global sustainability.Entities:
Keywords: Conservation; Developing countries; Environmental science; Pollutants; Sustainability
Mesh:
Year: 2021 PMID: 34962639 PMCID: PMC8713148 DOI: 10.1007/s13280-021-01681-0
Source DB: PubMed Journal: Ambio ISSN: 0044-7447 Impact factor: 5.129
China and India’s contributions to, or experience of, environmental issues, both problems and solutions. The selection of issues is guided by the planetary boundaries concept (Steffen et al. 2015), as shown in the second column; we also indicate roughly the scale of the impacts of the issue and whether it is constrained to the country itself (‘local’), or is regional or global. The number represents the global rank of the country in its contribution to a problem/solution. Note that most rows indicate a total for the whole country. In contrast, air pollution metrics (ozone, PM2.5), estimated by the Health Effects Institute, represent population-weighted annual average concentrations (https://www.stateofglobalair.org/). The Environmental Performance Index (EPI; https://epi.yale.edu/)’s 2020 report ranks 180 countries, using seven metrics for their biodiversity index and three metrics for their ecosystem services index, and using cumulatively seven data sources. For the EPI indices, smaller numbers indicate better performance
| Environmental issue | Planetary boundary | Impact level | Unit | China | India | Year of assessment | References |
|---|---|---|---|---|---|---|---|
| Problems | |||||||
| CO2 emissions | Climate change; ocean acidification | Global | MtCO2e | 1 | 3 | 2018 | |
| Other greenhouse gases (CH4, N2O, F-gas) | Climate change | Global | MtCO2e | 1 | 3 | 2018 | |
| Nitrogen deposition | Biochemical flow | Regional | kg | 1 | 2 | 2016 | Ackerman et al. ( |
| Mercury emission | Biochemical flow | Regional | Tonnes | 1 | 4 | 2015 | AMAP/UN Environment ( |
| Plastic waste production | Novel entities | Regional (ocean circulation)/local | Million metric tons | 1 | 2 | 2015 | Lebreton and Andrady ( |
| Waste from electrical and electronic equipment | Novel entities | Local | Million metric tonnes | 1 | 4 | 2016 | Baldé et al. ( |
| DDT | Novel entities | Regional (trans-boundary wildlife)/local | Tonnes produced | 3 | 4 | Through 2019 | Fiedler et al. ( |
| Atmospheric sulfur (SO2) | Aerosol loading | Local | Tg | 1 | 2 | 2015 | Aas et al. ( |
| Ambient ozone (O3) pollution | Aerosol loading | Local | ppb | 44 | 3 | 2019 | |
| Ambient fine particulate matter (PM2.5) | Aerosol loading | Local | µg/m3 | 29 | 1 | 2019 | |
| Annual freshwater withdrawals | Freshwater | Regional/local | Cubic meters | 2 | 1 | 2010–2014 | |
| Import of palm oil | Land-use change | Global/regional | Million tonnes | 2 | 1 | 2018 | DAC&FW ( |
| Import of roundwood | Land-use change | Global/regional | Million m3 | 1 | 7 | 2018 | FAO ( |
| Ecosystem services | Land-use change | Local | Country ranking by EPI | 90 | 93 | 2020 ranking | |
| Biodiversity conservation | Biosphere integrity | Local/regional (trans-boundary species) | Country ranking by EPI | 172 | 148 | 2020 ranking | |
| Solutions | |||||||
| Afforestation (in) | Land-use change | Global (climate change mitigation) | Million hectares | 1 | 6 | 2020 | FAO ( |
| Net change in leaf area (2000–2017) | Climate change mitigation | Global | % | 1 | 2 | 2017 | Chen et al. ( |
| Electric car market shares | Climate change mitigation | Global | % | 13 | 28 | 2020 | IEA ( |
| Wind electricity generation | Climate change mitigation | Global | GWh | 1 | 4 | 2018 | IEA ( |
| Solar PV electricity generation | Climate change mitigation | Global | GWh | 1 | 5 | 2018 | IEA ( |
Fig. 1A network map showing co-authorship patterns between countries in the environmental science based on 20 000 articles published in English between 2015 and 2018. Asian countries are shown in green, and other countries in red; the size of label is proportional to the number of research articles a country produced. Countries are shown if they were included in at least 175 publications, and links between countries are shown if there were at least 50 co-authorships. The lack of connection between China (CHN) and India (IND) was strongly significant (see text)
Fig. 2The total organizational budgets of major scientific funders in the two countries over an eight-year period. Chinese budgets (panel A) are from the 2010 and 2018 annual years, Indian budgets (panel B) are from the 2010–2011 and 2018–2019 years; all figures represent actual expenditures. CAS Chinese Academy of Sciences (https://www.cas.cn/), MOST Ministry of Science and Technology (https://www.most.gov.cn), NSFC National Science Foundation of China (https://nsfc.gov.cn/); DBT Department of Biotechnology (https://dbtindia.gov.in/), DST Department of Science and Technology (https://dst.gov.in/), MOEFCC Ministry of Environment, Forestry and Climate Change (https://moef.gov.in/)
Issues to study, and kinds of organizers, for collaboration between China and India in the environmental sciences, with some successful examples, and some potential pathways forward
| Issue 1. Research in the Himalaya region |
| 1.a. Organizers: Regional organizations, such as the International Centre for Integrated Mountain Development (ICIMOD), and its “Kailash Sacred Landscape Conservation and Development Initiative” |
| 1.b. Organizers: Institutions or scientists, such as the collaboration between Balipara Foundation (India) and the Kunming Institute for Botany, Chinese Academy of Sciences (China) |
| Issue 2. Research on the wider issues of environmental problems shared between the countries |
| 2.a. Organizers: Working groups associated with bilateral meetings (e.g., China-India Strategic Economic Dialogue) or intergovernmental organizations (e.g., BRICS, Shanghai Cooperation Organization) |
| 2.b. Organizers: Regional organizations (such as ICIMOD and its “Atmosphere” unit) could potentially leverage their knowledge to address larger issues throughout both countries (e.g., air pollution), analogous to the role the Arctic Council has done in ecotoxicological studies |
| 2.c. Organizers: Scientists or societies, such as “Asian Air Pollution Workshop”, International Union of Forest Research Organizations’ “Working Unit 8.04 on Air Pollution and Climate Changes’ Effects on Forest Ecosystems”, and the “First Indo-China Research Series in Geotechnical and Geoenvironmental Engineering”, who or which could be potentially facilitated by the development of a joint China/India funding mechanism |