Abstract
With the recently adopted Global Biodiversity Framework (GBF), the significance of ecosystem health and the need for increasing the protected area/other effective area-based conservation measures (OECM) coverage has been reiterated. Ecosystem health assessment or Red Listing of Ecosystems is the headline indicator for target A of GBF. The indicators listed in the IUCN Red Listing of Ecosystems (RLE) have been adopted to monitor the important targets under the Global Biodiversity Framework. Globally, 4279 ecosystems have been assessed using IUCN RLE, and immense potential exists to study the indicators to monitor and classify the health of Indian ecosystems, especially high conservation-value ecosystems. The work presented here synthesises the analyses of the pertinent current global trends in this domain to plan a suitable decentralised approach for assessing ecosystems in India that will be required to be included in the upcoming National Biodiversity Strategy and Action Plan (NBSAPs) as per GBF.
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1 Introduction
Worldwide ecosystems are deteriorating at an alarming rate, and more than 1 million plant and animal species are facing the risk of extinction (IPBES 2019). Global loss of biodiversity, with an average of 69% decline, has been reported between 1970 and 2018 due to the dual crisis of climate change and biodiversity loss (WWF 2022). A decline of 47% has also been reported with respect to global natural ecosystems, followed by a 75% alteration in the land surface and 85% in wetlands. Land-use/land-cover changes have severely impacted terrestrial and freshwater ecosystems since 1970 (IPBES 2019). These observations were further supported by the IPBES-IPCC combined report, which reported 77% of land area and 87% of ocean area being modified by human impact (Pörtner et al. 2021). Loss of biodiversity and ecosystem degradation have created a positive feedback loop for even more drastic climate change consequences (Mooney et al. 2009). The UN Decade for Ecosystem Restoration (2021–2030), with the aim to halt and reverse ecosystem degradation and support sustainable productions and local livelihoods, was declared an extension of the Bonn Challenge for Forest Landscape Restoration and Land Degradation Neutrality by UNCCD (Dhyani et al. 2022a). Renewed attempts to ensure global efforts for achieving conservation of biodiversity are made through the Kunming-Montreal Global Biodiversity Framework, especially Targets 1, 2, and 3, which aim to bring the loss of ecosystems to zero by 2030, ensure appropriate restoration and conservation measures taken for the ecosystems (CBD 2022).
Ecosystems are part of life-support systems and provide goods and services with quantifiable value (Cowx and Portocarrero Aya 2011; Elmqvist et al. 2012). While ecosystems are critical for their biophysical value and functions, recent studies additionally indicate the existing links between biodiversity, ecosystem services, and human well-being (Cardinale et al. 2012; Sandifer et al. 2015; Ament et al. 2017; Pradhan and Khaling 2023), and healthy ecosystems have a significant role to play in this context (Costanza et al. 2022). Evaluating the status of the ecosystems is of serious consideration for a country as populous and biodiverse as India, considering ecosystem health assessment using RLE is a headline indicator for target A of GBF and will be required to mainstream in upcoming National Biodiversity Strategy and Action Plans (NBSAPs) produced by the country.
2 Biological Diversity and Significance of Red Listing of Ecosystems for India
India is home to rich biodiversity and a variety of landscapes and ecosystems ranging from mountains to deserts, and tropical evergreen forests to coral reef ecosystems and having important biodiversity hotspots (Space Applications Centre 2016). However, the country is experiencing rapid loss of biodiversity and ecosystems (Dhyani et al. 2022a). Nearly 30% or 98.7 million ha of total geographic land has been degraded or faced desertification (Space Applications Centre 2016). India has four biodiversity hotspots and high conservation-value ecosystems: the Himalayas, Indo-Burma, the Western Ghats, and the Sundaland. Indo-Burma is regarded as one of the most threatened of the World’s 36 biodiversity hotspots (CEPF 2020). The recent State of Forest Report by the Forest Survey of India (FSI 2021) found that the North-eastern states of Arunachal Pradesh, Manipur, Nagaland, Mizoram, and Meghalaya witnessed the largest forest cover loss in the country in the last two years (2019–2021). A study (Chaturvedi et al. 2017) found that about 50% of the forests in Meghalaya experienced increased disturbance from 2000 to 2016. The condition in the Himalayan ecosystems is even critical as they are threatened by diverse drivers, with an increased probability of loss of endemic species and natural ecosystems (Dhyani 2023). The dramatic increase in forest fires across Indian forests, increased temperatures, and erratic rainfall patterns have led to increased habitat destruction and loss of ecosystem structures and functions (Roy et al. 2015).
Key ecosystems in India are affected by continuously increasing human interference and increasing climate vulnerability. For instance, in biodiversity hotspots, the forest covers of 77% of Western Ghats–Sri Lanka, 99% of Indo-Burma, and 75% of the Indian Himalayan Region are already lost to diverse direct and indirect drivers of biodiversity loss (Singh and Kushwaha 2008; Dhyani et al. 2022a), followed by 47% decline in evergreen semi-evergreen forests in Kerala region of Western Ghats by 1998 (Prasad 1998). Even future projected changes estimate a reduction in the distribution of endemic plants in the biodiversity hotspots across India (Chitale et al. 2014). Increased vulnerability of forests in the Himalayas, parts of the Western Ghats and Central India (Chaturvedi et al. 2011; Dhyani et al. 2022b), and extinctions of endemic species and subspecies of various taxa in the Himalayas by 2100 present an alarming situation (Pandit et al. 2007; Dhyani et al. 2020). In Central India, tremendous development pressures have impacted the remaining refugees and wildlife corridors of the typically dry deciduous forest ecosystem with a human-dominated agricultural matrix (Schoen et al. 2022; Srivathsa et al. 2023).
The grasslands of the Terai region are part of a unique ecosystem, with grass species amongst the tallest in the world and maintained by annual flooding. All the iconic large mammals of the country and some of the most threatened species of birds use this sensitive ecosystem as their habitat. There has been a drastic reduction of these ecosystems by transitions into woodland as well as through human-induced land-use changes (Banerjee et al. 2023). The tree-covered freshwater wetlands Myristica swamps in the Western Ghats, considered primaeval ecosystems, are known to act as a sponge and source of water for several streams supporting diverse ecological and social requirements of the region. Unfortunately, they now exist as fast-depleting small, isolated pockets and are one of the most threatened ecosystems in India (Ranganathan et al. 2022). Conservation of blue carbon has also been emphasised in the coastal zones where sensitive ecosystems such as mangroves and seagrasses are being lost, resulting in a decline in the fisheries-based economy (Kadaverugu et al. 2021; Das and Santhanam 2022). Country-wise, India holds the highest number of threatened species in the Indo-Malayan Relm (Sivadas 2020). Projected climate change in the twenty-first century increases the risk of impaired ecosystem services resulting in reduced human well-being (Ashutosh et al. 2020). Habitat loss in biodiversity-rich areas may also be a crucial concern for the spread of zoonotic diseases (Walsh et al. 2019).
While species Red Listing has been an important approach by the IUCN Species Survival Commission since 1964, it has not been possible to assess the status of species and red list them timely as many species were threatened and even went extinct before they were discovered (https://www.iucnredlist.org). Hence, an umbrella approach that helps assess the ecosystem health was considered crucial to provide blanket protection to ecosystems as a sensitive habitat and flora and fauna residing in the ecosystem (Rodríguez et al. 2012).
Human well-being and ecosystem well-being are interlinked via diverse important ecosystem functions or ecosystem services. Alongside the provisioning and cultural services, the regulation and supporting ecosystem services are important to maintain balance in the environment and ensuring resilience in the changing climate conditions. These services, however, are often undervalued and mostly ignored (Dasgupta 2021). Certain undervalued ecosystems like mangroves, wetlands, salt marshes, and seagrasses are important carbon sinks (Banerjee et al. 2017; Ganguly et al. 2018; Bal and Banerjee 2020). Mangrove ecosystems, along with carbon sequestration, provide cushion to tropical cyclones (Bhargava and Friess 2022; Bimrah et al. 2022). The importance of certain ecosystems spans beyond their immediate environment; for example, diverse ecosystems in the Himalayas are important for downstream communities and even global processes (Joshi and Joshi 2018; Dhyani et al. 2022b). IUCN RLE tool is a proven asset in factoring in the ecosystem services to direct immediate actions and aids in conserving often overlooked but high conservation-value ecosystems.
3 Current Trends in Red Listing of Ecosystems
With the growing global loss of ecosystems, it has become imperative to assess the health of ecosystems to prioritise conservation actions and ensure appropriate actions are undertaken to reduce biodiversity loss and restore them using Nature-based Solutions (Dhyani et al. 2022b; Manika et al. 2023). IUCN Red List of Ecosystems (RLE) following the global typology of ecosystems is helpful to assess ecosystem health to identify priority conservation areas (Sato et al. 2019; Dhyani et al. 2022a; Keith et al. 2022). Ecosystem Health Assessment following the IUCN Red List of Ecosystems (RLE) is an important, standardised, and tested approach for conducting transparent and reproducible risk assessments for assessing threats to ecosystems as well as their collapse in terrestrial, freshwater, as well as marine ecosystems at different tiers/levels as also evidenced through multiple assessments undertaken in Australia, Latin America, and Europe (Keith et al. 2022). The earlier global ecosystem assessments relied heavily on species matrices and land-cover proxies, which could only partially include the ecosystem’s functional aspects (Keith et al. 2022). Hence, the IUCN Global Ecosystem Typology based on the generalisation of the world’s ecosystem based on their species composition, functions, and drivers of threat is a tested, data-driven and appropriate approach (Keith et al. 2022). Classifying the ecosystems and assessing ecosystem health using RLE based on this typology has been globally considered an effective approach for creating a unified database to prioritise areas and share best practices and successful measures from one region to another (Keith et al. 2015).
The significance of RLE is recognised in the recently approved Kunming-Montreal Global Biodiversity Framework (GBF), 2023, for its incorporation in law and government regulatory tools, the listing of the threatened ecosystems to improve their status in legal protection, acts as an important tool in planning and expansion of protected areas, for informing decisions regarding the restoration investments (Rowland et al. 2020a; IUCN-CEM 2021). The Red List of Ecosystems uses the IUCN Red List Index for Ecosystems as the reporting index, which is one of the main indicators in the monitoring framework for the post-2020 Global Biodiversity Framework. Along with the size of natural ecosystems, their capacity for supporting ecosystem components, and Target 1, it is a headline indicator for Goal A. For GBF Target 2, 3, and 7, it also serves as a component or supplemental indicator (Rowland et al. 2020b; Nicholson et al. 2021). RLE has also been highlighted as a useful tool and indicator in the National Biodiversity Strategy and Action Plans in countries like South Africa and Norway, enabling smoother tracking and reporting for national and international biodiversity and environment goals and targets (Bland et al. 2018) and will be required in post-2022 NBSAPs of each country that is signatory and has ratified CBD.
So far, 4279 ecosystem assessments have been carried out in the world over. National assessments have been carried out in 60 countries, and sub-national assessments in 19 countries (IUCN-CEM 2022). While RLE was to be completed for the entire world by 2022, the pandemic brought a temporary break to this process, and post-pandemic approval of Kunming-Montreal GBF, it is now important to assess the remaining areas and ecosystems at a country level. Many of these are biodiversity hotspots, high conservation-value ecosystems and may be facing hidden collapse (Dhyani et al. 2022b).
In the IUCN programme for 2017–2020 and even later 2021–2025, South Asia has been considered a region requiring the greatest conservation needs among IUCN’s eight Statutory Regions. Further, India is reeling under tremendous loss and degradation of ecosystems, and ecosystem health assessments will be critical to address climate change, land degradation, biodiversity loss, and other issues (Singh and Kushwaha 2008). Hence, it is crucial to undertake and initiate pilot ecosystem health assessments in various high conservation-value ecosystems of the region. One of the RLE carried out for the Sundarbans mangroves assessed the ecosystem to be in the ‘Endangered’ category owing to continuous clearing of the mangrove forests over several decades and declining fish populations (Sievers et al. 2020), and similar attempts are required to be initiated to assess the health of other high-value high priority ecosystems across the country.
As seen from the global case studies, RLE can specifically help prioritise conservation areas and other aspects in India, along with other co-benefits (Fig. 1). This shall help create a robust database for policy interventions at various levels, from local to national. It can also inform the State Biodiversity Strategy and Action Plans (SBSAPs), and NBSAPs, and support better reporting of biodiversity assessments to international bodies like Convention on Biological Diversity (CBD), International Union for Conservation of Nature (IUCN), United Nations Convention to Combat Desertification (UNCCD), United Nations Environment Programme (UNEP), and United Nations Framework Convention on Climate Change (UNFCCC), and reporting on the progress towards Global Goals under the new Global Biodiversity Framework and also UN SDGs, especially SDG 13, 14, and 15 directly dealing with the loss of biodiversity and ecosystems. Considering the importance and benefits of RLE, ecosystem-level, national as well as biome-level ecosystem assessments are a crucial necessity, with a major focus initially on the most vulnerable ecosystems, especially hotspots.
As per the IUCN Red List of Ecosystems, RLE comprises “five criteria for assessing the risk of ecosystem ‘collapse’”. The criteria are based on the principle that ecosystem risk is a consequence of the species that comprise them, their interactions, and the ecological processes on which they rely (Keith et al. 2013) (Fig. 2).
4 Approach to be Followed for Red Listing of Ecosystems in India
Instead of a nationwide approach followed in regions like North America (Comer et al. 2022), a more focused approach can be followed in India that will be more beneficial. It is important initially to undertake pilot studies and analyse the gaps and challenges arising from them to help support future assessments. There have been studies for identifying the critical area (landscape prioritisation) in the country based on their vulnerability to climate change and anthropogenic stressors (Srivathsa et al. 2023) and vegetation map, and an essential component of the ecosystem and RLE has already been created (Roy et al. 2015) [this helped in understanding the shift and change in forest ecosystems from Champion and Seth (1968)], which is a much-needed base for delineating functional ecosystems [ecosystem functioning, which encompasses processes such as biomass production, resource regulation, energy flow, and interactions among biota, along with ecosystem properties like ecological processes and species traits, defines and sustains the identity of an ecosystem and shapes its responses (Keith et al. 2022)] in the country. Further, a recent work (Choksi et al. 2023) can help integrate the socio-economic and biophysical concerns in this approach to ensure that one of the mega but hidden drivers of socioeconomics in ecosystem health assessments bringing local concerns in the High Conservation Value Area (Brown et al. 2013). (Moktan et al. 2021) used criteria like species distribution, key ecosystems, cultural ecosystem services, and threats to identify priority areas for conservation at the state level (Sikkim). However, the functional classification of ecosystems is largely lacking for Indian ecosystems, which means that a collaborative approach rather than a single institutional approach will be practical and appropriate to strengthen partnerships and collaborations between different organisations working in important ecosystems, sharing their experiences and strengths that can benefit these initial pilots.
This paper highlights the collaboration and partnerships emerging between different organisations in India CSIR-National Environmental Engineering and Research Institute (NEERI), Kerala Forest Research Institute (KFRI), Birla Institute of Technology and Science (BITS Pilani), Network for Conserving Central India (NCCI), Aranyak, Indian Institute of Technology (IIT) Delhi, Ashoka Trust for Research in Ecology and the Environment (ATREE), and others, to attempt RLE in moist temperate mixed broad-leaved forests in Western Himalayas; Terai Grasslands; Myristica Swamps in Western Ghats; Evergreen forests, Goa; Central Indian Forests; Mangroves in East Coast; Coastal Wetlands; River stretches (Ganga Gomukh to Haridwar) as first pilots in the country. These ecosystems are threatened by diverse drivers of loss that include but are not limited to socio-economic factors, climate change, and habitat loss (Singh and Kushwaha 2008; Tewari et al. 2017; Santhanam et al. 2022; Sivadas et al. 2023; Choksi et al. 2023; Manika et al. 2023). Also, the presence of organisations working in these ecosystems for a longer time brings a ground understanding of authentic information from different contexts and concerns of these ecosystems.
A recent IUCN-CEM global Steering Committee meeting in India followed by an international master class workshop on the status of ecosystems in Asia and Ecosystem Health Assessments for evidence-based Nature-based Solution (NbS) applications organised at Kerala Forest Research Institute (KFRI), Peechi Kerala in March 2023 raised a common thought on the need for working towards the common goal of assessment of the status of ecosystems in the region, emphasising the need for developing a roadmap along with diagnostic model and collaboration of experts from different domains and networks for achieving the goal (Manika et al. 2023).
India, being a vast country with a range of different ecosystem types, also has certain challenges to undertaking ecosystem health assessments. This includes the requirement for intensive capacity building, the inaccessibility of certain ecosystems’ evaluation, and the lack of funding support. However, effective collaboration between stakeholders and public & private entities could enable us to move forward and overcome these barriers. Apart from implementing ecosystem health assessment using RLE, the effort is to build the capacity of researchers to strengthen the cooperation and ensure that ecosystem health assessments are undertaken for different ecosystems of the country at the ecosystem, national as well as biome levels, whatever suits local, regional, and transboundary conditions. Conducting RLE will also help set up continuous monitoring systems for regular updating of undertaken and ongoing assessments, along with collaboration and cooperation to identify the gaps and further addressing these gaps by scientific collaborators and partners who are capable and empowered with diverse tools and techniques required for ecosystem health assessments The process would enable establishing a network of researchers, academicians, students, and other stakeholders that can help address future conservation, restoration, and conflict resolution concerns too (Fig. 3).
The ecosystem health assessment scientific network for India will be crucial to achieving: (a) functional mapping of ecosystems, (b) identification of priority areas and threats, (c) understanding of socio-economic drivers, (d) climate change impacts on the ecosystems, (e) generation of crucial data on biodiversity, ecological interactions, ecosystem services and overall planning and implementation of customised Nature-based Solutions (NbS) at a landscape level (Valderrábano et al. 2021), (f) status of flow of ecosystem services (tangible and intangible), and (g) set of ecosystem health indicators that are relevant for India. Mainstreaming RLE in the NBSAPs can help improve our understanding beyond spatiotemporal changes in ecosystems as followed so far and help us understand the impact of diverse drivers on ecosystem functions and support GBF and Other Effective area-based Conservation Measures (OECMs).
5 Conclusion
Considering the successful implementation of RLE in other continents, regions, and countries, its effective use in informed management activities, and in the face of climate emergency threatening the existence of ecosystems, biodiversity, and the resulting ecological functions. The six-step approach proposed here, tailored to the country context, will help in prioritising the actions and identifying and gauging the probability of range-wide collapse of high-value ecosystems. It is imperative that RLE initiated in pilots is further followed for other high conservation-value ecosystems of South Asia and countries in the Asian region, as it could be an invaluable tool for quantitatively assessing the health of regional ecosystems and biomes. Although challenging, RLE has been effective in safeguarding resources, combating climate change, ensuring sustainable development, and helping policymakers devise science-supported, evidence-based strategies and implement them effectively to support conservation and sustainable development. This also includes mainstreaming various targets and goals, including SDGs, targets under GBF, NBSAPS, Net Zero, and others.
References
Ament JM, Moore CA, Herbst M, Cumming GS (2017) Cultural ecosystem services in protected areas: understanding bundles, trade-offs, and synergies. Conserv Lett 10(4):440–450. https://doi.org/10.1111/conl.12283
Ashutosh DS, Chaturvedi DR, Sharma S, Lakhchaura P, Joshi M, Ghosh S, Rao V (2020) Mapping climate change hotspots in indian forests based on observed climate change and high resolution climate model projections. FSI Technical Information Series 2(5). Forest Survey of India. http://webline.org.in/technical-information-series-vol2-no5-2020.pdf
Bal G, Banerjee K (2020) Carbon storage potential of tropical wetland forests of South Asia: a case study from Bhitarkanika Wildlife Sanctuary. India Environ Monit Assess 191(3):795. https://doi.org/10.1007/s10661-019-7690-y
Banerjee K, Sappal SM, Ramachandran P, Ramesh R (2017) Salt marsh: ecologically important, yet least studied blue carbon ecosystems in India. J Clim Change 3(2):59–72. https://doi.org/10.3233/JCC-170014
Banerjee S, Das D, Zhang H, John R (2023) Grassland-woodland transitions over decadal timescales in the Terai-Duar savanna and grasslands of the Indian subcontinent. For Ecol Manage 530:120764. https://doi.org/10.1016/j.foreco.2022.120764
Bhargava R, Friess DA (2022) Previous shoreline dynamics determine future susceptibility to cyclone impact in the Sundarban Mangrove Forest. Front Mar Sci. https://doi.org/10.3389/fmars.2022.814577
Bimrah K, Dasgupta R, Hashimoto S, Saizen I, Dhyani S (2022) Ecosystem services of mangroves: a systematic review and synthesis of contemporary scientific literature. Sustainability 14(19):12051. https://doi.org/10.3390/su141912051
Bland L, Nicholson E, Miller R, Andrade A, Etter A, Ferrer-Paris JR, Kontula T, Lindgaard A, Pliscoff P, Skowno A, Zager I, Keith D (2018) Impacts of the IUCN Red list of ecosystems on conservation policy and practice. Conserv Lett 12(5):e12666. https://doi.org/10.1111/conl.12666
Brown E, Dudley N, Lindhe A, Muhtaman DR, Stewart C, Synnott T (eds.) (2013) Common guidance for the identification of high conservation values. HCV Resource Network. https://wwfint.awsassets.panda.org/downloads/guidance_identification_hcv.pdf
Cardinale BJ, Duffy JE, Gonzalez A, Hooper DU, Perrings C, Venail P, Narwani A, Mace GM, Tilman D, Wardle DA, Kinzig AP, Daily GC, Loreau M, Grace JB, Larigauderie A, Srivastava DS, Naeem S (2012) Biodiversity loss and its impact on humanity. Nature 486(7401):59–67. https://doi.org/10.1038/nature11148
CBD (2022) Monitoring framework for the Kunming-Montreal global biodiversity framework. Conference of the Parties to the Convention on Biological Diversity Fifteenth Meeting – Part II Montreal, Canada. https://www.cbd.int/doc/c/179e/aecb/592f67904bf07dca7d0971da/cop-15-l-26-en.pdf. Accessed 22 Dec 2023
CEPF (2020) Ecosystem Profile Indo-Burma Biodiversity Hotspot 2020 Update Technical Summary. Critical Ecosystem Partnership Fund, Conservation International, Arlington, USA. https://www.cepf.net/sites/default/files/indo-burma_ecosystem_profile_2020_technical_summary.pdf. Accessed 22 Dec 2023
Champion HG, Seth SK (1968) A revised survey of the forest types of India. Manager of Publications, Delhi
Chaturvedi RK, Gopalakrishnan R, Jayaraman M, Bala G, Joshi NV, Sukumar R, Ravindranath NH (2011) Impact of climate change on Indian forests: a dynamic vegetation modeling approach. Mitig Adapt Strateg Glob Change 16(2):119–142. https://doi.org/10.1007/s11027-010-9257-7
Chaturvedi RK, Ravindranath NH, Shruthi B, Hegde G, Thongni P, Ryntathiang J, Jayaraman M, Arakesh C (2017) Assessment of the impact of climate change on forests and biodiversity of Meghalaya. A report by Indian Institute of Science, Bengaluru, India. https://www.indiaspend.com/wp-content/uploads/2019/03/IISC-report.pdf. Accessed 23 Dec 2023
Chitale VS, Behera MD, Roy PS (2014) Future of endemic flora of biodiversity hotspots in India. PLoS One 9(12):e115264. https://doi.org/10.1371/journal.pone.0115264
Choksi P, Agrawal A, Bialy I, Chaturvedi R, Davis KF, Dhyani S, Fleischman F, Lechner J, Nagendra H, Srininvasan V, DeFries R (2023) Combining socio-economic and biophysical data to identify people-centric restoration opportunities. NPJ biodivers 2(1):1–5. https://doi.org/10.1038/s44185-023-00012-8
Comer PJ, Hak JC, Seddon E (2022) Documenting at-risk status of terrestrial ecosystems in temperate and tropical North America. Conserv Sci Pract 4(2):e603. https://doi.org/10.1111/csp2.603
Costanza JK, Koch FH, Reeves MC (2022) Monthly drought index for the conterminous United States: 6-month and 36-month Standardized Precipitation Evapotranspiration Index (SPEI) for 10 climate scenarios, 1950–2070. Forest Service Research Data Archive. Fort Collins. https://doi.org/10.2737/RDS-2022-0086
Cowx IG, Portocarrero Aya M (2011) Paradigm shifts in fish conservation: moving to the ecosystem services concept. J Fish Biol 79(6):1663–1680. https://doi.org/10.1111/j.1095-8649.2011.03144.x
Das S, Santhanam H (2022) “Seas the day” - Investing in blue natural capital, the Seagrasses. Harness Nat 4:39–46. https://harnessingnature.online/wp-content/uploads/2023/01/HN_Vol_4_Iss_1.pdf
Dasgupta P (2021) The economics of biodiversity: the Dasgupta review. HM Treasury, London. https://www.gov.uk/government/publications/final-report-the-economics-of-biodiversity-the-dasgupta-review
Dhyani S (2023) Are Himalayan ecosystems facing hidden collapse? Assessing the drivers and impacts of change to aid conservation, restoration and conflict resolution challenges. Biodivers Conserv 32:1–34. https://doi.org/10.1007/s10531-023-02692-x
Dhyani S, Kadaverugu R, Pujari P (2020) Predicting impacts of climate variability on Banj oak (Quercus leucotrichophora A. Camus) forests: understanding future implications for Central Himalayas. Reg Environ Change 20(4):113. https://doi.org/10.1007/s10113-020-01696-5
Dhyani S, Bhaskar D, Santhanam H, Murthy IK (2022a) Post-pandemic recovery through landscape restoration. Restor Ecol 30(5):e13617. https://doi.org/10.1111/rec.13617
Dhyani S, Sivadas D, Basu O, Karki M (2022b) Ecosystem health and risk assessments for high conservation value mountain ecosystems of South Asia: a necessity to guide conservation policies. Anthr Sci 1(1):211–225. https://doi.org/10.1007/s44177-022-00010-8
Elmqvist T, Maltby E, Barker T, Mortimer M, Perrings C, Aronson J, De Groot R, Fitter A, Mace G, Norberg J, Sousa Pinto I, Ring I, Jax K, Grimm V, Leemans R, Salles JM, Salles JM (2012) Biodiversity, ecosystems and ecosystem services. The economics of ecosystems and biodiversity. Taylor and Francis Ltd., pp 41–112
FSI (2021) State of Forest Report. Forest Survey of India, Dehradun. https://fsi.nic.in/forest-report-2021-details. Accessed 22 Nov 2023
Ganguly D, Singh G, Purvaja R, Bhatta R, Paneer Selvam A, Banerjee K, Ramesh R (2018) Valuing the carbon sequestration regulation service by seagrass ecosystems of Palk Bay and Chilika, India. Ocean Coast Manag 159:26–33. https://doi.org/10.1016/j.ocecoaman.2017.11.009
IPBES (2019) Summary for policymakers of the global assessment report on biodiversity and ecosystem services. IPBES secretariat, Bonn. https://doi.org/10.5281/zenodo.3553579
IUCN-CEM (2021) Ecosystem indicators accepted by the Biodiversity Indicators Partnership. The Commission on Ecosystem Management, The International Union for Conservation of Nature, Gland. https://iucnrle.org/news/ecosystem-indicators-accepted-by-the-biodiversity-indicators-partnership. Accessed 22 Nov 2023
IUCN-CEM (2022) Red List of Ecosystems. The Commission on Ecosystem Management, The International Union for Conservation of Nature, Gland. https://iucnrle.org/. Accessed 23 Dec 2023
Joshi A, Joshi P (2018) Forest Ecosystem Services in the Central Himalaya: Local Benefits and Global Relevance. Proc Natl Acad Sci India Sect B: Biol Sci 89:785–792. https://doi.org/10.1007/s40011-018-0969-x
Kadaverugu R, Dhyani S, Dasgupta R, Kumar P, Hashimoto S, Pujari P (2021) Multiple values of Bhitarkanika mangroves for human well-being: synthesis of contemporary scientific knowledge for mainstreaming ecosystem services in policy planning. J Coast Conserv 25(2):32. https://doi.org/10.1007/s11852-021-00819-2
Keith DA, Rodríguez JP, Rodríguez-Clark KM, Nicholson E, Aapala K, Alonso A, Asmussen M, Bachman S, Basset A, Barrow EG, Benson JS, Bishop MJ, Bonifacio R, Brooks TM, Burgman MA, Comer P, Comín FA, Essl F, Faber-Langendoen D, Fairweather PG, Holdaway RJ, Jennings M, Kingsford RT, Lester RE, Nally RM, McCarthy MA, Moat J, Oliveira-Miranda MA, Pisanu P, Poulin B, Regan TJ, Riecken U, Spalding MD, Zambrano-Martínez S (2013) Scientific foundations for an IUCN red list of ecosystems. PLoS ONE 8(5):e62111. https://doi.org/10.1371/journal.pone.0062111
Keith DA, Rodríguez JP, Brooks TM, Burgman MA, Barrow EG, Bland L, Comer PJ, Franklin J, Link J, McCarthy MA, Miller RM, Murray NJ, Nel J, Nicholson E, Oliveira-Miranda MA, Regan TJ, Rodríguez-Clark KM, Rouget M, Spalding MD (2015) The IUCN red list of ecosystems: motivations, challenges, and applications. Conserv Lett 8(3):214–226. https://doi.org/10.1111/conl.12167
Keith DA, Ferrer-Paris JR, Nicholson E, Bishop MJ, Polidoro BA, Ramirez-Llodra E, Tozer MG, Nel JL, Mac Nally R, Gregr EJ, Watermeyer KE, Essl F, Faber-Langendoen D, Franklin J, Lehmann CER, Etter A, Roux DJ, Stark JS, Rowland JA, Brummitt NA, Fernandez-Arcaya UC, Suthers IM, Wiser SK, Donohue I, Jackson LJ, Pennington RT, Iliffe TM, Gerovasileiou V, Giller P, Robson BJ, Pettorelli N, Andrade A, Lindgaard A, Tahvanainen T, Terauds A, Chadwick MA, Murray NJ, Moat J, Pliscoff P, Zager I, Kingsford RT (2022) A function-based typology for Earth’s ecosystems. Nature 610(7932):513–518. https://doi.org/10.1038/s41586-022-05318-4
Manika N, Sivadas D, Basu O, Dhyani S (2023) Towards the assessment of ecosystem health of ecosystems in Asia and promoting nature-based solutions. Anthr Sci 2(2):172–175. https://doi.org/10.1007/s44177-023-00062-4
Moktan A, Khaling S, Samrat A, George A (2021) High conservation value areas (HCVAs) in North and West districts of Sikkim final report. Submitted to the Forest Environment and Wildlife Management Department Government of Sikkim, India
Mooney H, Larigauderie A, Cesario M, Elmquist T, Hoegh-Guldberg O, Lavorel S, Mace GM, Palmer M, Scholes R, Yahara T (2009) Biodiversity, climate change, and ecosystem services. Curr Opin Environ Sustain 1(1):46–54. https://doi.org/10.1016/j.cosust.2009.07.006
Nicholson E, Watermeyer KE, Rowland JA, Sato CF, Stevenson SL, Andrade A, Brooks TM, Burgess ND, Cheng S-T, Grantham HS, Hill SL, Keith DA, Maron M, Metzke D, Murray NJ, Nelson CR, Obura D, Plumptre A, Skowno AL, Watson JEM (2021) Scientific foundations for an ecosystem goal, milestones and indicators for the post-2020 global biodiversity framework. Nat Ecol Evol 5(10):1338–1349. https://doi.org/10.1038/s41559-021-01538-5
Pandit MK, Sodhi NS, Koh LP, Bhaskar A, Brook BW (2007) Unreported yet massive deforestation driving loss of endemic biodiversity in Indian Himalaya. Biodivers Conserv 16(1):153–163. https://doi.org/10.1007/s10531-006-9038-5
Pörtner HO, Scholes RJ, Agard J, Archer E, Arneth A, Bai X, Barnes D, Burrows M, Chan L, Cheung WL, Diamond S, Donatti C, Duarte C, Eisenhauer N, Foden W, Gasalla M, Handa C, Hickler T, Hoegh-Guldberg O, Ichii K, Jacob U, Insarov G, Kiessling W, Leadley P, Leemans R, Levin L, Lim M, Maharaj S, Managi S, Marquet P, McElwee P, Midgley G, Oberdorff T, Obura D, Osman E, Pandit R, Pascual U, Pires APF, Popp A, Reyes-García V, Sankaran M, Settele J, Shin YJ, Sintayehu DW, Smith P, Steiner N, Strassburg B, Sukumar R, Trisos C, Val AL, Wu J, Aldrian E, Parmesan C, Pichs-Madruga R, Roberts DC, Rogers A, Díaz S, Fischer M, Hashimoto S, Lavorel S, Wu N, Ngo HT (2021) IPBES-IPCC co-sponsored workshop report on biodiversity and climate change. Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) and Intergovernmental Panel on Climate Change (IPCC), Bonn. https://www.ipbes.net/events/ipbes-ipcc-co-sponsored-workshop-biodiversity-and-climate-change
Pradhan A, Khaling S (2023) Community priorities, values, and perceptions associated with ecosystem services provided by the socio-ecological landscapes of Darjeeling-Sikkim Himalaya. Reg Environ Change 23(1):36. https://doi.org/10.1007/s10113-023-02028-z
Prasad SN (1998) Conservation planning for the Western Ghats of Kerala: II assessment of habitat loss and degradation. Curr Sci 75(3):228–235. https://www.jstor.org/stable/24100956
Ranganathan P, Ravikanth G, Aravind NA (2022) A review of research and conservation of Myristica swamps, a threatened freshwater swamp of the Western Ghats. India Wetl Ecol Manage 30(1):171–189. https://doi.org/10.1007/s11273-021-09825-5
Rodríguez JP, Rodríguez-Clark KM, Keith DA, Barrow EG, Benson J, Nicholson E, Wit P (2012) IUCN Red List of Ecosystems. S.A.P.I.E.N.S Surv Perspect Integrating Environ Soc 5(2):61–70. http://journals.openedition.org/sapiens/1286
Rowland JA, Bland LM, Keith DA, Juffe-Bignoli D, Burgman MA, Etter A, Ferrer-Paris JR, Miller RM, Skowno AL, Nicholson E (2020a) Ecosystem indices to support global biodiversity conservation. Conserv Lett 13(1):e12680. https://doi.org/10.1111/conl.12680
Rowland JA, Lee CKF, Bland LM, Nicholson E (2020b) Testing the performance of ecosystem indices for biodiversity monitoring. Ecol Ind 116:106453. https://doi.org/10.1016/j.ecolind.2020.106453
Roy PS, Behera MD, Murthy MSR, Roy A, Singh S, Kushwaha SPS, Jha CS, Sudhakar S, Joshi PK, Reddy ChS, Gupta S, Pujar G, Dutt CBS, Srivastava VK, Porwal MC, Tripathi P, Singh JS, Chitale V, Skidmore AK, Rajshekhar G, Kushwaha D, Karnatak H, Saran S, Giriraj A, Padalia H, Kale M, Nandy S, Jeganathan C, Singh CP, Biradar CM, Pattanaik C, Singh DK, Devagiri GM, Talukdar G, Panigrahy RK, Singh H, Sharma JR, Haridasan K, Trivedi S, Singh KP, Kannan L, Daniel M, Misra MK, Niphadkar M, Nagabhatla N, Prasad N, Tripathi OP, Prasad PRC, Dash P, Qureshi Q, Tripathi SK, Ramesh BR, Gowda B, Tomar S, Romshoo S, Giriraj S, Ravan SA, Behera SK, Paul S, Das AK, Ranganath BK, Singh TP, Sahu TR, Shankar U, Menon ARR, Srivastava G, Neeti SS, Mohapatra UB, Peddi A, Rashid H, Salroo I, Krishna PH, Hajra PK, Vergheese AO, Matin S, Chaudhary SA, Ghosh S, Lakshmi U, Rawat D, Ambastha K, Malik AH, Devi BSS, Gowda B, Sharma KC, Mukharjee P, Sharma A, Davidar P, Raju RRV, Katewa SS, Kant S, Raju VS, Uniyal BP, Debnath B, Rout DK, Thapa R, Joseph S, Chhetri P, Ramachandran RM (2015) New vegetation type map of India prepared using satellite remote sensing: Comparison with global vegetation maps and utilities. Int J Appl Earth Obs Geoinf 39:142–159. https://doi.org/10.1016/j.jag.2015.03.003
Sandifer PA, Sutton-Grier AE, Ward BP (2015) Exploring connections among nature, biodiversity, ecosystem services, and human health and well-being: opportunities to enhance health and biodiversity conservation. Ecosyst Serv 12:1–15. https://doi.org/10.1016/j.ecoser.2014.12.007
Santhanam H, Dhyani S, Kundu S (2022) Ecosystem-based approaches to develop a monitoring framework for restoring the transitional lagoon ecosystem of Pulicat. India Ecol Eng 179:106608. https://doi.org/10.1016/j.ecoleng.2022.106608
Sato CF, Westgate MJ, Barton PS, Foster CN, O’Loughlin LS, Pierson JC, Balmer J, Chapman J, Catt G, Detto T, Hawcroft A, Kavanagh RP, Marshall D, McKay M, Moseby K, Perry M, Robinson D, Schroder M, Tuft K, Lindenmayer DB (2019) The use and utility of surrogates in biodiversity monitoring programmes. J Appl Ecol 56(6):1304–1310. https://doi.org/10.1111/1365-2664.13366
Schoen JM, Neelakantan A, Cushman SA, Dutta T, Habib B, Jhala YV, Mondal I, Ramakrishnan U, Reddy PA, Saini S, Sharma S, Thatte P, Yumnam B, DeFries R (2022) Synthesizing habitat connectivity analyses of a globally important human-dominated tiger-conservation landscape. Conserv Biol 36(4):e13909. https://doi.org/10.1111/cobi.13909
Sievers M, Chowdhury MR, Adame MF, Bhadury P, Bhargava R, Buelow C, Friess DA, Ghosh A, Hayes MA, McClure EC, Pearson RM, Turschwell MP, Worthington TA, Connolly RM (2020) Indian Sundarbans mangrove forest considered endangered under Red List of ecosystems, but there is cause for optimism. Biol Cons 251:108751. https://doi.org/10.1016/j.biocon.2020.108751
Singh JS, Kushwaha SPS (2008) Forest biodiversity and its conservation in India. Int For Rev 10(2):292–304. https://www.jstor.org/stable/43740343
Sivadas D (2020) How many could soon be wiped out? Harness Nat 2:29–30. https://harnessingnature.online/wp-content/uploads/2020/05/08336-hn_vol_2_iss_1_fin_red.pdf
Sivadas D, Geethakumary MP, Pandurangan AG (2023) An overview of the biodiversity, ecosystem services and conservation actions in the Western Ghats, India. In: Aguilar CN, Abdulhameed S, Rodriguez-Herrera R, Sugathan S (eds) Microbial Biodiversity, Biotechnology and Ecosystem Sustainability. Springer Nature, Singapore, pp 15–41. https://doi.org/10.1007/978-981-19-4336-2_2
Space Applications Centre I (2016) Desertification and Land Degradation Atlas of India. https://www.sac.gov.in/SACSITE/Desertification_Atlas_2016_SAC_ISRO.pdf. Accessed 22 Dec 2023
Srivathsa A, Vasudev D, Nair T, Chakrabarti S, Chanchani P, DeFries R, Deomurari A, Dutta S, Ghose D, Goswami VR, Nayak R, Neelakantan A, Thatte P, Vaidyanathan S, Verma M, Krishnaswamy J, Sankaran M, Ramakrishnan U (2023) Prioritizing India’s landscapes for biodiversity, ecosystem services and human well-being. Nat Sustain 6(5):568–577. https://doi.org/10.1038/s41893-023-01063-2
Tewari VP, Verma RK, von Gadow K (2017) Climate change effects in the Western Himalayan ecosystems of India: evidence and strategies. For Ecosyst 4(1):13. https://doi.org/10.1186/s40663-017-0100-4
Valderrábano M, Nelson C, Nicholson E, Etter A, Carwardine J, Hallett JG, McBreen J, Botts E (2021) Using ecosystem risk assessment science in ecosystem restoration. IUCN, Gland. https://doi.org/10.2305/IUCN.CH.2021.19.en
Walsh MG, Mor SM, Maity H, Hossain S (2019) Forest loss shapes the landscape suitability of Kyasanur Forest disease in the biodiversity hotspots of the Western Ghats. India Int J Epidemiol 48(6):1804–1814. https://doi.org/10.1093/ije/dyz232
WWF (2022) Living Planet Report 2022– Building a naturepositive society. WWF, Gland. https://www.wwf.org.uk/our-reports/living-planet-report-2022. Accessed 22 Nov 2023
Acknowledgements
The authors would like to thank IUCN CEM Chair Angela Andrade, IUCN CEM Red List of Ecosystems thematic group lead David Keith for brainstorming and discussions on the topic. Thanks are also due to Dr. P.S. Roy, WRI, for his suggestions to develop this for the country. Authors also wish to thank Director KFRI, NEERI and heads of IIT Delhi, BITS Pilani, NCCI, and Aaranyak, ATREE, for their support and encouragement.
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Dhyani, S., Sivadas, D., Chaturvedi, R. et al. Ecosystem Health Assessment in India for Mainstreaming Global Biodiversity Framework Headline Indicator and Prioritising Conservation Action. Anthr. Sci. 3, 122–130 (2024). https://doi.org/10.1007/s44177-024-00074-8
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DOI: https://doi.org/10.1007/s44177-024-00074-8