Dataset Information

Development of a landscape integrity model framework to support regional conservation planning.

ABSTRACT: Land managers increasingly rely upon landscape assessments to understand the status of natural resources and identify conservation priorities. Many of these landscape planning efforts rely on geospatial models that characterize the ecological integrity of the landscape. These general models utilize measures of habitat disturbance and human activity to map indices of ecological integrity. We built upon these modeling frameworks by developing a Landscape Integrity Index (LII) model using geospatial datasets of the human footprint, as well as incorporation of other indicators of ecological integrity such as biodiversity and vegetation departure. Our LII model serves as a general indicator of ecological integrity in a regional context of human activity, biodiversity, and change in habitat composition. We also discuss the application of the LII framework in two related coarse-filter landscape conservation approaches to expand the size and connectedness of protected areas as regional mitigation for anticipated land-use changes.

SUBMITTER: Walston LJ

PROVIDER: S-EPMC5882122 | biostudies-other | 2018

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Development of a landscape integrity model framework to support regional conservation planning.

Walston Leroy J LJ Hartmann Heidi M HM

PloS one 20180403 4

Land managers increasingly rely upon landscape assessments to understand the status of natural resources and identify conservation priorities. Many of these landscape planning efforts rely on geospatial models that characterize the ecological integrity of the landscape. These general models utilize measures of habitat disturbance and human activity to map indices of ecological integrity. We built upon these modeling frameworks by developing a Landscape Integrity Index (LII) model using geospatia ...[more]

PMID: 29614093

Similar Datasets

Project description:Spatial prioritization in conservation is required to direct limited resources to where actions are most urgently needed and most likely to produce effective conservation outcomes. In an effort to advance the protection of a highly threatened hotspot of marine biodiversity, the Mediterranean Sea, multiple spatial conservation plans have been developed in recent years. Here, we review and integrate these different plans with the goal of identifying priority conservation areas that represent the current consensus among the different initiatives. A review of six existing and twelve proposed conservation initiatives highlights gaps in conservation and management planning, particularly within the southern and eastern regions of the Mediterranean and for offshore and deep sea habitats. The eighteen initiatives vary substantially in their extent (covering 0.1-58.5% of the Mediterranean Sea) and in the location of additional proposed conservation and management areas. Differences in the criteria, approaches and data used explain such variation. Despite the diversity among proposals, our analyses identified ten areas, encompassing 10% of the Mediterranean Sea, that are consistently identified among the existing proposals, with an additional 10% selected by at least five proposals. These areas represent top priorities for immediate conservation action. Despite the plethora of initiatives, major challenges face Mediterranean biodiversity and conservation. These include the need for spatial prioritization within a comprehensive framework for regional conservation planning, the acquisition of additional information from data-poor areas, species or habitats, and addressing the challenges of establishing transboundary governance and collaboration in socially, culturally and politically complex conditions. Collective prioritised action, not new conservation plans, is needed for the north, western, and high seas of the Mediterranean, while developing initial information-based plans for the south and eastern Mediterranean is an urgent requirement for true regional conservation planning.

Project description:BackgroundProviding access to pediatric healthcare services in British Columbia, Canada, presents unique challenges given low population densities spread across large geographic distances combined with a lack of availability of specialist providers in remote areas, leading to quality of care shortcomings and inequalities in care delivery. The study objective was to develop a framework that provides a common language and methodology for defining and planning child and youth healthcare services across the province.MethodsThe framework was developed in two phases. In Phase 1, a literature and jurisdictional review was completed using the following inclusion criteria: (i) description of a framework focusing on organizing service delivery systems (ii) that supports health service planning, (iii) includes specialty or subspecialty services and (iv) has been published since 2008. In Phase 2, a series of meetings with key provincial stakeholders were held to receive feedback on the developed Tiers of Service framework versions that were based on the literature and jurisdictional review and adjusted to the British Columbian health care context. The final version was endorsed by the Child Health BC Steering Committee.ResultsTen medical articles and thirteen jurisdictional papers met the established selection criteria and were included in this study. Most frameworks were developed by the Australian national or state jurisdictions and published in jurisdictional papers (n = 8). Frameworks identified in the medical literature were mainly developed in Canada (n = 3) and the US (n = 3) and focused on maternity, neonatal, critical care and oncology services. Based on feedback received from the expert group, the framework was expanded to include community-based services, prevention and health determinants. The final version of the Tiers of Service framework describes the specific services to be delivered at each tier, which are categorized as Tier 1 (community services) through Tier 6 (sub-specialized services). Two consecutive steps were identified to effectively use the framework for operational and system planning: (i) development of a 'module' outlining the responsibilities and requirements to be delivered at each tier; and (ii) assessment of services provided at the health care facility against those described in the module, alignment to a specific tier, identification of gaps at the local, regional and provincial level, and implementation of quality improvement initiatives to effectively address the gaps.ConclusionsThe benefits of the Tiers of Service framework and accompanying modules for health service planning are being increasingly recognized. Planning and coordinating pediatric health services across the province will help to optimize flow and improve access to high-quality services for children living in British Columbia.

Project description:Marine classification schemes based on abiotic surrogates often inform regional marine conservation planning in lieu of detailed biological data. However, these schemes may poorly represent ecologically relevant biological patterns required for effective design and management strategies. We used a community-level modeling approach to characterize and delineate representative mesoscale (tens to thousands of kilometers) assemblages of demersal fish and benthic invertebrates in the Northwest Atlantic. Hierarchical clustering of species occurrence data from four regional annual multispecies trawl surveys revealed three to six groupings (predominant assemblage types) in each survey region, broadly associated with geomorphic and oceanographic features. Indicator analyses identified 3-34 emblematic taxa of each assemblage type. Random forest classifications accurately predicted assemblage distributions from environmental covariates (AUC > 0.95) and identified thermal limits (annual minimum and maximum bottom temperatures) as important predictors of distribution in each region. Using forecasted oceanographic conditions for the year 2075 and a regional classification model, we projected assemblage distributions in the southernmost bioregion (Scotian Shelf-Bay of Fundy) under a high emissions climate scenario (RCP 8.5). Range expansions to the northeast are projected for assemblages associated with warmer and shallower waters of the Western Scotian Shelf over the 21st century as thermal habitat on the relatively cooler Eastern Scotian Shelf becomes more favorable. Community-level modeling provides a biotic-informed approach for identifying broadscale ecological structure required for the design and management of ecologically coherent, representative, well-connected networks of Marine Protected Areas. When combined with oceanographic forecasts, this modeling approach provides a spatial tool for assessing sensitivity and resilience to climate change, which can improve conservation planning, monitoring, and adaptive management.

Project description:Systematic conservation planning is a framework for optimally locating and prioritizing areas for conservation. An often-noted shortcoming of most conservation planning studies is that they do not address future uncertainty. The selection of protected areas that are intended to ensure the long-term persistence of biodiversity is often based on a snapshot of the current situation, ignoring processes such as climate change. Scenarios, in the sense of being accounts of plausible futures, can be utilized to identify conservation area portfolios that are robust to future uncertainty. We compared three approaches for utilizing scenarios in conservation area selection: considering a full set of scenarios (all-scenarios portfolio), assuming the realization of specific scenarios, and a reference strategy based on the current situation (current distributions portfolio). Our objective was to compare the robustness of these approaches in terms of their relative performance across future scenarios. We focused on breeding bird species in Israel's Mediterranean region. We simulated urban development and vegetation dynamics scenarios 60 years into the future using DINAMICA-EGO, a cellular-automata simulation model. For each scenario, we mapped the target species' available habitat distribution, identified conservation priority areas using the site-selection software MARXAN, and constructed conservation area portfolios using the three aforementioned strategies. We then assessed portfolio performance based on the number of species for which representation targets were met in each scenario. The all-scenarios portfolio consistently outperformed the other portfolios, and was more robust to 'errors' (e.g., when an assumed specific scenario did not occur). On average, the all-scenarios portfolio achieved representation targets for five additional species compared with the current distributions portfolio (approximately 33 versus 28 species). Our findings highlight the importance of considering a broad and meaningful set of scenarios, rather than relying on the current situation, the expected occurrence of specific scenarios, or the worst-case scenario.

Dataset Information

Development of a landscape integrity model framework to support regional conservation planning.

Publications

Development of a landscape integrity model framework to support regional conservation planning.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets