The research team, led by Vivek Ranjan with colleagues Sipu Kumar, Stanzin Zangmo, and Gopi Govindan Veeraswami, spent months conducting one of the most comprehensive biodiversity baselines ever assembled for Harike Wildlife Sanctuary, an 86-square-kilometer protected area at the river confluence. Their fieldwork, carried out between March and May 2024 and again after the monsoon from October to December, spanned every major taxonomic group. Using point counts, camera traps, double-observer boat surveys, visual encounter surveys, nested quadrats, and rake sampling, they documented 187 bird species, 14 mammal species, 18 species of herpetofauna, 25 fish species, and dozens of plant species across the sanctuary’s terrestrial, lotic, and lentic ecosystems. The inventory included some of the subcontinent’s most imperiled animals: the critically endangered gharial, the endangered Indus River Dolphin, of which Harike represents the only Indian home, the vulnerable smooth-coated otter, and an isolated breeding population of the endangered Hog deer.

The technical heart of the study lies in its spatial analysis. The researchers divided the sanctuary into one-square-kilometer sampling grids and then used two complementary geospatial techniques to identify biodiversity hotspots. The Getis-Ord Gi* statistic, a classic test for statistically significant spatial clustering, was applied to overall bird species richness and to independent camera-trap detections of Hog deer. Both variables showed strongly clustered distributions, with Moran’s I tests yielding highly significant results: a z-score of 3.10 for bird richness and 3.06 for Hog deer detections. Kernel Density Estimation, meanwhile, generated smooth heat maps of threatened and near-threatened bird richness and Hog deer distribution, classified into low, moderate, and high classes using the natural breaks method. The results revealed that the highest concentrations of threatened birds cluster near the terrestrial-lentic ecotone and around the Beas-Sutlej confluence, while Hog deer concentrate on river islands and connected mainland areas dominated by tall grasses and reeds.

What elevates the study beyond a conventional hotspot map is its application of multi-criteria decision analysis, or MCDA, a GIS-based weighted overlay technique that integrates multiple reclassified raster layers into a single composite suitability surface. The researchers assigned the greatest weight, 70 percent, to the threatened and near-threatened bird richness hotspot layer, followed by 20 percent for Hog deer distribution, 9 percent for overall bird richness, and 1 percent for water depth, with shallower areas rated as more suitable because they support submerged vegetation, macroinvertebrates, and fish breeding. Cropland at the human-wildlife interface was treated as a restrictive factor rather than a weighted layer, and the five mapped heronry sites, colonial waterbird nesting colonies of Oriental Darters, cormorants, Glossy Ibis, egrets, and night herons, were folded in because they overlapped with high bird richness zones. A one-at-a-time sensitivity analysis tested the robustness of the weighting scheme across multiple runs.

The output of this weighted overlay was a delineation of No-Desilt Zones, areas covering roughly 16 square kilometers where any desilting or developmental activity should be categorically excluded. These zones fall into two broad ecological categories. In the LMB and Riyasat reservoirs, the priority areas are characterized by extensive floating vegetation and open water, the lentic habitats that the surveys showed harbor the highest bird diversity, with a mean species richness of 26.68 and a Shannon Diversity Index of 3.01. Near the Beas-Sutlej confluence, the priority zones are dominated by reed banks along flowing channels, underscoring the ecological value of lotic habitats within the wetland mosaic. Crucially, when the researchers compared their priority map against an independent post-monsoon hotspot map built from winter migratory bird data, a season with entirely different species assemblages, they found substantial overlap. This validation suggests the MCDA approach captures something fundamental about habitat quality rather than merely the distribution of a single season’s species.

The study also developed an indicator-species monitoring system designed to make long-term impact tracking practical and inexpensive. Using the IndVal method of Dufrêne and Legendre, which scores each species on its fidelity and specificity to a habitat type, the team identified 45 significant indicator bird species in the pre-monsoon period and 48 in the post-monsoon period. Strong indicators, those with IndVal values of at least 0.7, included the common myna and jungle babbler in terrestrial habitats, with indicator values of 0.95 and 0.90 respectively, and the intermediate egret, little cormorant, and little egret in aquatic systems, scoring 0.94, 0.93, and 0.87. Several species, notably the little cormorant, intermediate egret, and little egret, remained strong aquatic indicators across both seasons, making them reliable sentinels for long-term monitoring. Winter visitors such as the Eurasian coot, northern shoveler, and gadwall emerged as strong lentic indicators only in the cold months, reflecting the seasonal importance of slow-moving open water for migratory waterbirds traveling the Central Asian flyway.

Perhaps the most consequential contribution is the conceptual decision-making framework that wraps around these technical tools. The framework places biodiversity at the center of project planning and insists that impact assessment and mitigation planning occur during the project planning phase, before any Detailed Project Report is drafted. It follows the internationally accepted mitigation hierarchy, avoidance first, then minimization, restoration, offset as a last resort, and enhancement to create net benefits. But the framework goes further than most by explicitly addressing the question that earlier spatial prioritization studies left unanswered: under what conditions should a project be abandoned altogether? The authors are unambiguous. If biodiversity hotspots cannot be safeguarded within the techno-economic constraints of a project, or if projected impacts on priority critical wildlife areas would be highly detrimental, the project should not proceed. Techno-economic feasibility, in their formulation, is a necessary but never overriding consideration.

This stance matters because Harike sits at the intersection of two statutory mandates that pull in opposite directions. The water resources department must manage sediment to preserve storage capacity for millions of people downstream, while the forest department must protect the sanctuary’s flora and fauna. In India, developmental projects in protected areas face review by three different statutory bodies, each of which can demand scientifically rigorous wildlife mitigation plans as a clearance condition. What has been missing, the authors argue, is a unified, evidence-based process for producing those plans. Their framework fills this gap by integrating baseline biodiversity assessment, spatial prioritization, indicator-based monitoring, and mitigation planning into feedback loops that guide decisions on where, whether, and how interventions should proceed. It is designed to be adaptable to other protected wetlands and floodplain ecosystems, provided reliable baseline data and long-term monitoring exist to keep it calibrated.

The study is candid about its limitations. The baseline rests on two seasons within a single annual cycle, and the authors note that multi-year data would sharpen the spatial prioritization further. Hydrological, sediment, and water-quality data for the sanctuary were not incorporated, and MCDA outcomes can shift with different variable selections, larger datasets, and alternative weightings. Long-term monitoring will be needed to validate the indicator species through observed changes in abundance, occupancy, breeding success, and habitat use. None of these caveats, however, undermines the central demonstration: that a framework-based, ecocentric approach can convert a seemingly irreconcilable conflict between public welfare and biodiversity conservation into a tractable planning problem with clearly delineated red lines.

The broader lesson radiating from Harike is one that wetland managers worldwide should heed. Development and conservation are routinely framed as antagonists, yet the authors show that holistic impact assessment and mitigation planning can transform a conservation challenge into a conservation opportunity. Wetlands are among the planet’s most productive ecosystems, delivering water storage, flood regulation, fisheries, and habitat within a single socio-ecological system, and human communities are integral to their functioning. By using biodiversity attributes as surrogates for spatial prioritization, by validating priority zones against independent seasonal data, and by anchoring monitoring in statistically robust indicator species, the Harike framework offers a template for the kind of evidence-driven compromise that the mitigation hierarchy was always meant to enable but rarely achieves in practice. As sedimentation, encroachment, and land-use change intensify pressures on protected wetlands across the developing world, the question is no longer whether such interventions will be needed, but whether the science guiding them will be rigorous enough to leave the biodiversity refuges intact.

Subject of Research: Spatial prioritization and mitigation planning for protected wetland desilting using multi-criteria decision analysis

Article Title: Spatial prioritization of habitats and conceptual framework for impact assessment and mitigation planning for protected wetlands

Article References: Ranjan, V., Kumar, S., Zangmo, S., & Govindan Veeraswami, G. (2026). Spatial prioritization of habitats and conceptual framework for impact assessment and mitigation planning for protected wetlands. Environmental and Sustainability Indicators, 32, Article 101563. https://doi.org/10.1016/j.indic.2026.101563

Image Credits: AI Generated

DOI: 10.1016/j.indic.2026.101563

Keywords: Harike Wetland, Ramsar site, spatial prioritization, mitigation hierarchy, multi-criteria decision analysis, biodiversity hotspots, indicator species, desilting, wetland conservation, Getis-Ord Gi*, kernel density estimation, Indus River Dolphin

The research, led by Ángela Martín-Méndez of the Universidad Europea de Madrid together with Francisco Campuzano-Bolarín of the Polytechnic University of Cartagena and David López-López of ESADE Business School, is built on a structured critical review spanning six connected literatures: nature-positive itself, net-based approaches such as no net loss and biodiversity net gain, the mitigation hierarchy and offsetting, biodiversity measurement and reporting, environmental management systems, and the realities of implementation in industrial firms and small and medium-sized enterprises. Rather than running a conventional meta-analysis, which the authors say is impossible in a field lacking a common outcome variable or unit of analysis, they coded each source against a common set of analytical questions covering definitions, netting logic, controllability, measurement, governance and reporting.

The review’s central finding is that nature-positive is used in radically unstable ways. In its strongest and most cited sense, it describes a societal ambition to halt and reverse biodiversity loss and move towards ecological recovery, a directional goal championed by figures such as Harvey Locke and E.J. Milner-Gulland. But the same term is routinely deployed as a corporate commitment, a project-level outcome or a vague rhetorical signal of green intent. Critics including Milner-Gulland and, more recently, Thomas White and colleagues have warned that the concept loses analytical meaning when applied without clear specification of scale, baseline, evidence standard and governance. For a bounded operational site embedded in a wider landscape, the authors argue, this ambiguity is especially corrosive: it invites either unverifiable net-outcome claims or empty slogans.

The second tension the review uncovers lies in the netting logic inherited from no net loss, net positive impact and biodiversity net gain approaches. These frameworks promise a familiar performance arithmetic: establish a baseline, quantify losses and gains, report a net result. Yet decades of scholarship, from John Bull’s foundational work on offsets to Maron and colleagues’ 2024 warning that nature-positive must incorporate rather than undermine the mitigation hierarchy, keep circling the same unresolved problems of equivalence, additionality, timing, permanence and governance. Gains created through compensation may not genuinely match losses elsewhere; some gains would have happened anyway; restoration lags far behind impact; and long-term maintenance is hostage to changing ownership and budgets. For industrial facilities, the authors conclude, compensation provides a fragile basis for claims of positive biodiversity performance, and the evidence more strongly supports on-site avoidance, pressure reduction and continuity of management.

The third tension is perhaps the most practically important: controllability. Facility managers can directly alter mowing regimes, planting structure, drainage patterns, lighting, herbicide use and contractor specifications, and these interventions can meaningfully improve habitat quality within the site perimeter. What they cannot do is fully control species occurrence, abundance or persistence, which depend on landscape connectivity, source populations, climatic variation and ecological time lags that stop at no fence line. Improved habitat may be necessary for biodiversity recovery without being sufficient to guarantee it. This asymmetry, the authors argue, should reshape accountability: managers can be held responsible for actions that are implemented, maintained and governed, but not for every ecological response over long horizons. Ecological observations, on this view, are directional learning signals rather than deterministic performance scores.

Measurement compounds the difficulty. Biodiversity is multidimensional, encompassing habitats, species, ecological functions and relationships, and any single metric captures only selected slices of ecological change. Studies by Nicholson, Martínez-Jauregui, Simpson and Wauchope all show that different indicator choices lead to different ecological and managerial conclusions. Meanwhile the reporting literature, including Boiral’s influential work on biodiversity reporting and impression management, documents how disclosure under instruments such as TNFD and ESRS E4 remains fragmented, selective and vulnerable to overstatement. The review therefore endorses a two-layer evidence logic: a first layer of intervention evidence, recording what was implemented, where, when, by whom and with what maintenance provisions, and a second layer of ecological signal evidence, consisting of repeated habitat observations useful for learning but not to be presented as proof of net biodiversity outcomes.

From these findings the authors derive their framework, Nature-Positive for Industrial Facilities, or NP4IF. It is deliberately not a new biodiversity doctrine and does not replace TNFD, ESRS, science-based targets or biodiversity net gain requirements; its contribution is operational. NP4IF treats the facility perimeter as the unit of action, evidence, responsibility and claim, and links seven components: a site baseline, a prioritisation filter that selects interventions by ecological relevance, feasibility, safety, cost and persistence, an intervention portfolio covering measures such as vegetation management, drainage improvement, lighting attenuation and reduced chemical pressure, governance mechanisms that embed actions in routine operations, the two-layer evidence system, and a claims-discipline mechanism that aligns external communication with the strength of available evidence.

The framework runs on a PDCA-compatible cycle familiar from ISO 14001-style environmental management systems. In the Plan stage, a facility defines its perimeter, identifies ecological zones and constraints and selects a small set of feasible priorities. In the Do stage, interventions are implemented through standard operating procedures, maintenance routines, contractor requirements and training. The Check stage verifies intervention continuity and records ecological observations using proportionate indicators, while the Act stage corrects weaknesses, scales effective measures and discontinues ineffective ones. A six-point decision pathway then governs what can be claimed: strong claims are limited to actions that have been implemented, maintained, governed and verified, qualified claims may describe ecological signals or trends, and claims of demonstrated net biodiversity gain are to be avoided unless robust evidence exists for baseline, equivalence, additionality, permanence, attribution and governance.

Why does this matter beyond the technical literature? Because biodiversity actions at industrial sites are notoriously fragile, vulnerable to reversal through procurement changes, contractor drift, budget cuts and staff turnover. The EMS literature shows that environmental systems function either as symbolic commitments or as practical infrastructures depending on how deeply they penetrate everyday routines, audits and management review. The authors argue that credible stewardship is associated less with ambitious rhetoric than with mundane but durable mechanisms: site zoning, maintenance standards, contractor clauses, inspection schedules and periodic review. For small and medium-sized enterprises and legacy sites in particular, a limited but persistent stewardship system may be far more defensible than expansive claims unsupported by operational continuity.

The study is candid about its limits: it is structured and critical rather than fully systematic, and the literature it synthesises is weighted towards Anglophone and European debates. Future research priorities include longitudinal studies of which interventions endure changes in budgets and management attention, testing of small feasible indicator sets, empirical work on adoption pathways in SMEs, and scrutiny of whether external disclosure under TNFD and ESRS strengthens substantive stewardship or merely produces more sophisticated claims. But the central message is already clear and likely to reverberate through corporate sustainability departments: industrial facilities should stop claiming, in abstract net-outcome terms, that they are definitively nature-positive. A far more credible claim, the authors conclude, is that a facility has implemented, maintained, monitored and reviewed a structured biodiversity stewardship process within its perimeter, reporting ecological observations as signals rather than proof. Nature-positive, in other words, is best understood not as a label a site earns, but as a disciplined management practice it performs, locally, persistently and with appropriate humility about what the fence line can and cannot deliver.

Subject of Research: An environmental management framework for biodiversity stewardship at industrial facilities

Article Title: Nature-Positive for Industrial Facilities: An Environmental Management Framework for Biodiversity Stewardship

Article References: Martín-Méndez, Á., Campuzano-Bolarín, F., & López-López, D. (2026). Nature-Positive for Industrial Facilities: An Environmental Management Framework for Biodiversity Stewardship. Environmental Management, 76(9), Article 298. https://doi.org/10.1007/s00267-026-02601-2

Image Credits: AI Generated

DOI: 10.1007/s00267-026-02601-2

Keywords: nature-positive, biodiversity stewardship, industrial facilities, environmental management systems, mitigation hierarchy, biodiversity offsets, no net loss, biodiversity reporting, TNFD, ESRS, SMEs, PDCA