The concept at the heart of the study is known as escape habitat planning. As climate change pushes ecosystems beyond their historical ranges, species must either adapt in place or move to survive. For coastal wetlands, movement means migrating landward, a process that requires both vertical space for sediment accumulation and lateral space for wetlands to form on adjacent uplands. When seawalls, roads, and subdivisions block that retreat, habitats become squeezed between rising water and immovable infrastructure, a phenomenon ecologists call coastal squeeze. In the southeastern United States, projections suggest up to two-thirds of future wetland migration will come at the expense of freshwater wetlands, while the remainder will consume already fragmented uplands, many of which harbor endemic species found nowhere else.

Florida presents a uniquely difficult case. The state’s 1,931-kilometer coastline is home to more than two-thirds of its 23.4 million residents, and its flat topography and porous limestone bedrock make it exceptionally vulnerable not only to inundation but to saltwater intrusion into the aquifers that supply most of its freshwater. Projections indicate that up to 2 meters of sea-level rise could flood more than 7,770 square kilometers of the state, with the southern Gulf Coast and the Everglades bearing the brunt. Coastal forests are already converting to ghost forests, landscapes of dead trees killed by inundation and salt, while nearly half of Florida’s island-dependent species face major extinction risks. Yet some systems retain mobility: salt marshes can transgress landward, and mangroves are expanding northward as freeze events become rarer.

The research team built and compared two complementary models. The first, the Florida Ecological Greenways Network Coastal-to-Inland Connectivity Model, is deliberately simple. Using Esri’s Cost Distance tool and the state’s Cooperative Land Cover dataset, it treats all undeveloped, ecologically suitable land as equally permeable, assigning a uniform resistance value of one, and then calculates continuous pathways along which coastal natural communities could theoretically migrate inland. The study area was delineated using NOAA’s 3-meter sea-level rise model with an additional two-mile buffer. This data-efficient approach is highly transferable to other regions and is intended to support strategic land acquisition decisions with minimal input requirements.

The second model, the Integrated Coastal Connectivity Model, is far richer in data. Built with Omniscape, a circuit-theory-based connectivity tool implemented in the Julia programming language, it combines expert-ranked land cover classifications with high-resolution flood hazard maps from JBA Risk Management, topographic diversity data derived from satellite elevation products, and sea-level rise projections from two established marsh migration models. On the Gulf Coast, the team used the Sea Level Affecting Marshes Model, or SLAMM, a tool originally developed in the mid-1980s with funding from the U.S. Environmental Protection Agency that simulates inundation, erosion, sediment accretion, overwash, saturation, and salinity shifts. Along the Atlantic coast, where comprehensive SLAMM results were unavailable, they substituted the NOAA Marsh Migration Model, which combines land cover data, digital elevation models, and tidal datum surfaces to project marsh persistence, migration, or loss.

One of the study’s most technically interesting choices involves how water itself was parameterized. The researchers tested scenarios in which open marine areas were assigned extreme resistance values and found that both extremes distorted the results. Assigning a value of ten, intended to represent high permeability, inadvertently created artificial islands of low resistance surrounded by higher-resistance matrices, while a value of zero blocked movement entirely. They settled on an intermediate, neutral value of six, which better captured continuous ecological flow along the coastline. Flood data was processed using fuzzy logic, with a gamma overlay combining weighted fuzzy sums and products to highlight areas that flood repeatedly across multiple return periods, from 20-year to 1,500-year events, rather than treating each flood scenario independently.

The results reveal both convergence and striking divergence between the two approaches. The simpler cost-distance model identified its most extensive migration corridors in the Big Bend and Panhandle regions, where natural land cover remains intact, and highlighted the Suwannee River basin and Apalachicola lowlands as critical connectivity zones. The integrated model showed that under a 1-meter rise, many low-lying Gulf Coast wetlands would be inundated, shrinking corridors to localized pockets, and under 2 meters, connectivity would collapse further across southwest Florida and the Big Bend. Agreement between the two models fell as low as 59 percent in some regions, and adding topographic diversity to the resistance surface reduced agreement by an additional 5 to 10 percent, a finding the authors did not fully anticipate.

That divergence may be the study’s most consequential insight. Florida is often perceived as uniformly flat, but its subtle microtopography, relict dune ridges, karst features such as sinkholes and springs, and slight elevation gradients, has shaped its biodiversity for millennia. Over successive cycles of rising and falling seas, populations isolated on upland ridges evolved into endemic species through allopatric speciation. The integrated model’s sensitivity to topographic diversity suggests these modest features act as stepping stones and microrefugia, offering drier soils, thermal variation, and resistance to inundation. Conserving geophysically complex areas slows the velocity of climate change exposure for species and provides microclimates that buffer against extremes, meaning that even centimeter-scale terrain variation matters when the entire landscape sits barely above the tide line.

The practical payoff comes in the form of land acquisition priorities. The team overlaid their connectivity outputs on the Florida Forever Board of Trustees Projects layer, which catalogs 362 proposed conservation land purchases not yet protected, and ranked roughly 19,000 individual parcels based on corridor overlap, watershed priority, and elevation. Agreement between the two models increased steadily with ranking quality, from 29.45 percent in the lowest 30 percent of parcels to 63.60 percent in the top 10 percent. In other words, while the models disagree about lower-priority areas, they converge substantially on the highest-value conservation targets, and many of those top-scoring parcels already align with existing state acquisition goals. This convergence gives planners a defensible basis for tiered decision-making, where areas of model agreement can trigger immediate action and divergent areas warrant monitoring or adaptive management.

The authors are careful to note the limits of their framework. The models do not account for ocean warming, freeze-driven shifts between mangrove and marsh dominance, groundwater levels, sediment supply, or the dispersal capacities of individual species, and they should be read as broad-scale screening tools rather than precise predictions. Future work could incorporate focal species, soils data, and higher-resolution elevation analysis. Still, the study demonstrates that integrating climate exposure and geomorphological variation into connectivity analysis can bridge traditional coarse-filter modeling with advanced spatial techniques, producing a transferable template for any coastal region facing the same existential question: not whether the sea will rise, but whether the ecosystems that depend on dry land will have somewhere left to go.

Subject of Research: Modeling coastal-to-inland ecological connectivity and wetland migration corridors under sea-level rise in Florida

Article Title: Sea level rise escape planning for Florida’s coastal ecosystems

Article References: Sea level rise escape planning for Florida’s coastal ecosystems. (n.d.). https://doi.org/10.1007/s44353-025-00064-w

Image Credits: AI Generated

DOI: 10.1007/s44353-025-00064-w

Keywords: sea-level rise, ecological connectivity, coastal wetlands, marsh migration, Florida, SLAMM, Omniscape, conservation planning, topographic diversity, land acquisition, climate adaptation, ghost forests

The study’s foundation is a new, spatially explicit Human Modification Index, or HMI, built specifically for Florida at a 10-meter resolution, far finer than the 1 to 5 kilometer grids of global datasets such as the Human Footprint or Global Human Modification. Rather than relying on coarse land cover categories, the researchers layered statewide geospatial data on infrastructure development, population density, transportation networks, energy production, agriculture, recreation, and pollution. Each stressor was ranked for both magnitude, meaning the degree of ecological alteration it causes, and footprint, the geographic spread of its influence. Distance decay functions then modeled how the impact of a feature, say a major highway, fades with distance, strongest within 500 meters and effectively vanishing by 2 kilometers. Because decay distances borrowed from national models might overestimate regional impacts, the team ran three scenarios: high, low, and no distance decay, testing how sensitive their conclusions were to assumptions about how far human influence reaches.

To combine these many stressor layers without the mathematical pitfalls of simple addition, the researchers used a fuzzy sum algorithm. Where additive approaches can inflate cumulative pressure simply by counting more variables, the fuzzy sum formula, which computes one minus the product of one minus each stressor value, integrates overlapping pressures while avoiding overestimation when stressors are not independent. The result is a continuous gradient of human influence across the entire state rather than a patchwork of categorical land use classes. This gradient then served as a resistance surface for Omniscape, a connectivity modeling tool implemented in Julia that simulates omnidirectional wildlife movement across heterogeneous landscapes using a moving-window framework. Higher human modification means higher resistance to movement, and the model’s outputs, cumulative current flow and normalized current flow, reveal both broad connectivity patterns and the channelized, intensified flow zones ecologists call pinch points.

The analysis focused on the ten critical linkages of the Florida Wildlife Corridor’s Priority 1 region, the highest-value segments of a network formalized by the Florida Legislature through the Florida Wildlife Corridor Act of 2021. These linkages, ranging from 75 to 160 kilometers in length, were identified through decades of planning under the Florida Ecological Greenways Network, a blueprint maintained by the University of Florida in collaboration with the Florida Department of Environmental Protection and the Florida Natural Areas Inventory. The stakes are considerable. Florida hosts roughly 16,000 native species, 690 of which are considered imperiled or at risk, and 133 species or subspecies legally protected under state and federal endangered species laws. Meanwhile the state’s population has surged from about 2.7 million in 1950 to 22.8 million in 2023, with projections exceeding 33 million by 2070, and 82 percent of the Southeast’s Conservation Opportunity Areas are threatened by future housing development.

The researchers then took a step that sets this work apart: they multiplied their connectivity layers by biodiversity data to produce a novel composite index. Cumulative current flow was combined with normalized current flow classifications, impeded, diffuse, channelized, and intensified, and then multiplied by potential habitat richness, drawn from a dataset tracking up to 62 rare or vulnerable terrestrial vertebrate species, and by priority natural communities such as sandhill, pine flatwoods, and coastal wetlands ranked by global rarity. The top 20 percent of these composite scores defined the high-priority areas. The logic is elegant: a pinch point matters most when it is also rich in species and rare habitats, because losing it would simultaneously sever a movement corridor and destroy irreplaceable biodiversity. Across the ten linkages, these high-value composite pinch points carry 58 percent of top-tier connectivity flow while covering just 1.6 percent of the land.

Vulnerability, however, is far from uniform. The proportion of top flow concentrated in pinch points ranges from 49 percent in the Kissimmee–Caloosahatchee linkage to 77 percent in Eglin–Apalachicola. Three corridors, Eglin–Apalachicola, Suwannee, and Nature Coast, exceed 0.64 in flow-to-pinch-point ratio, marking them as the most severe bottlenecks where even minor degradation could fragment habitats and undermine the corridor’s entire function. The Ocala–St. Johns–Kissimmee linkage exemplifies the dynamic, holding the largest share of constrained movement with 14,810 hectares in the top 20 percent of cumulative current flow and the largest pinch point area at 8,200 hectares. At the other end of the spectrum, the vast Caloosahatchee–Big Cypress linkage, spanning roughly 1.4 million hectares, retains the largest extents of minimally modified habitat, while linkages such as Osceola–Ocala, Nature Coast, and Suwannee retain only 28, 86, and 103 hectares respectively of no-decay refugia, signaling pervasive fragmentation.

Perhaps the most consequential innovation is economic. By clipping the 2022 Florida property parcels database to the critical linkages, removing parcels already within managed conservation areas or national conservation easements, the team attached just value and land value figures to the highest-priority pinch points. The numbers are sobering: just value across the top 20 percent of pinch point composites exceeds 948 million dollars, with land value alone surpassing 307 million dollars. Value is intensely concentrated. Ocala–St. Johns–Kissimmee alone accounts for 436 million dollars in just value, roughly 46 percent of the total, followed by Nature Coast at 140 million and Kissimmee–Caloosahatchee at 106 million. Together these three linkages represent more than 72 percent of estimated pinch-point protection costs, and the study suggests the highest-value composite areas, though only 1.6 percent of linkage land, could require up to one billion dollars to protect.

That concentration cuts both ways. On one hand, it reveals intense development pressure bearing down on exactly the places wildlife needs most. On the other, it suggests outsized returns on conservation investment: Nature Coast’s pinch points span just 3,130 hectares, 2.8 percent of that linkage, yet carry 140 million dollars in just value, while Eglin–Apalachicola’s 8,744 hectares of pinch points, 2.6 percent of its area, hold 66 million dollars in market value. Modest acquisitions or easements in these hotspots could therefore yield disproportionate ecological and economic benefits. The authors frame these parcels as ecological infrastructure, assets whose protection advances both biodiversity and resilience, and their classification scheme, sorting corridors by pinch-point concentration and economic value, gives planners a practical triage tool for deciding where acquisition, easements, or incentives will matter most.

The policy context is equally significant. Florida’s conservation programs, from the Land Conservation Act of 1972 through Preservation 2000 and Florida Forever, have collectively secured more than 1,011,715 hectares statewide. Funding, however, has been volatile: annual appropriations of 300 million dollars before the 2008 recession collapsed to roughly 30 million per year between 2009 and 2021, before the Florida Wildlife Corridor Act revitalized the state’s commitment to approximately 300 million dollars annually. Even so, more than 3.6 million hectares of the Florida Ecological Greenways Network remain unprotected and vulnerable to conversion. Because corridor lands are largely private, conservation easements, payments for ecosystem services, and incentive programs for landowners will be essential, alongside emerging initiatives such as Corridor Compatible Communities, which apply landscape ecology principles to development that proves unavoidable.

The authors are candid about limitations. Their index and current-flow outputs are modeled abstractions, sensitive to input data quality, parameter choices, and decay assumptions, and factors like invasive species, small-scale habitat degradation, and climate indicators remain underrepresented. Notably, many high-value pinch points in the Nature Coast and Suwannee linkages overlap floodplains, aquifer recharge zones, and areas projected to face sea level rise, suggesting that corridor protection could double as climate adaptation. Future work, they note, could integrate cost-effectiveness optimization frameworks such as Marxan to prioritize parcels by return on investment. For now, the message is clear and urgent: Florida’s wildlife corridor will live or die not across its millions of hectares, but in a handful of narrow, expensive, irreplaceable passages, and the window to secure them is closing as the state’s population races toward 33 million.

Subject of Research: Mapping human modification and connectivity conservation priorities in the Florida Wildlife Corridor

Article Title: Mapping human modification and conservation priorities across critical linkages of the Florida Wildlife Corridor

Article References: Bohnett, E., Hoctor, T., O’Brien, M., Thompson, E., Smith, D. J., Frank, K., Oetting, J., & Noss, R. (2026). Mapping human modification and conservation priorities across critical linkages of the Florida Wildlife Corridor. Discover Conservation, 3(1), Article 10. https://doi.org/10.1007/s44353-026-00078-y

Image Credits: AI Generated

DOI: 10.1007/s44353-026-00078-y

Keywords: Florida Wildlife Corridor, human modification index, ecological connectivity, pinch points, Omniscape, habitat fragmentation, conservation easements, land valuation, biodiversity, wildlife corridors, Florida Ecological Greenways Network, landscape ecology