Scale- and resolution-invariance of suitable geographic range for shorebird metapopulations

Convertino, Matteo; Kiker, Gregory A.; Muñoz‐Carpena, Rafael; Chu-Agor, M. L.; Fischer, Richard A.; Linkov, Igor

doi:10.1016/j.ecocom.2011.07.007

Cited by 30 publications

(45 citation statements)

References 73 publications

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“…The dual goal of sustaining military activities and protecting TERs in the face of changes in land cover/use and increases in human population, coupled with potential sea level rise and increases in storm frequency/intensity create significant planning challenges for natural resource managers [1], [2], [7]. For example, Santa Rosa Island (SRI), managed by Eglin Air Force Base (EAFB) in Florida, requires sandy beaches for training; concomitantly, the same habitat is utilized by the Snowy Plover, an endangered resident species in Florida (Figure 1, S1 and S2 in File S1) [2], [8], [9], and by other migrant shorebirds like the Piping Plover and the Red Knot (Figure 1 and Figure S1 in File S1) [2]–[6], [10]–[12]. Of course, EAFB also maintains infrastructure of importance for humans (e.g., military buildings, training lands, and recreational facilities, etc.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, the value of each asset is not something that is exogenously specified or modeled (as is often the case in MPT models), but rather a spatially explicit variable that depends on a set of criteria that evolve dynamically over time, as a function of sea-level rise and restoration actions. These assets share the same habitat; however, their level of interaction is, on average, low [1]–[10]. For example, Snowy Plover, Piping Plover, and Red Knot populations are weakly correlated in term of abundance.…”

Section: Introductionmentioning

confidence: 99%

“…For example, Snowy Plover, Piping Plover, and Red Knot populations are weakly correlated in term of abundance. This is due to their different spatial and temporal distribution within the same habitat [1]–[10]. Correlation between military installations and species is considered endogenously within the biophysical models employed [1]–[10]; in consequence, no further correlation is needed for the purposes of the portfolio analysis conducted here.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Portfolio Decision Analysis Framework for Value-Focused Ecosystem Management

Convertino

Valverde

2013

PLoS ONE

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Management of natural resources in coastal ecosystems is a complex process that is made more challenging by the need for stakeholders to confront the prospect of sea level rise and a host of other environmental stressors. This situation is especially true for coastal military installations, where resource managers need to balance conflicting objectives of environmental conservation against military mission. The development of restoration plans will necessitate incorporating stakeholder preferences, and will, moreover, require compliance with applicable federal/state laws and regulations. To promote the efficient allocation of scarce resources in space and time, we develop a portfolio decision analytic (PDA) framework that integrates models yielding policy-dependent predictions for changes in land cover and species metapopulations in response to restoration plans, under different climate change scenarios. In a manner that is somewhat analogous to financial portfolios, infrastructure and natural resources are classified as human and natural assets requiring management. The predictions serve as inputs to a Multi Criteria Decision Analysis model (MCDA) that is used to measure the benefits of restoration plans, as well as to construct Pareto frontiers that represent optimal portfolio allocations of restoration actions and resources. Optimal plans allow managers to maintain or increase asset values by contrasting the overall degradation of the habitat and possible increased risk of species decline against the benefits of mission success. The optimal combination of restoration actions that emerge from the PDA framework allows decision-makers to achieve higher environmental benefits, with equal or lower costs, than those achievable by adopting the myopic prescriptions of the MCDA model. The analytic framework presented here is generalizable for the selection of optimal management plans in any ecosystem where human use of the environment conflicts with the needs of threatened and endangered species. The PDA approach demonstrates the advantages of integrated, top-down management, versus bottom-up management approaches.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Portfolio Decision Analysis Framework for Value-Focused Ecosystem Management

Convertino

Valverde

2013

PLoS ONE

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“…In recent comparisons, MaxEnt has been shown to be robust for modeling presence-only occurrence data with good performance using both small and large datasets (Elith et al 2006). Convertino et al (2011) showed also its scale and resolution invariance properties until a threshold related to the average home range or geographical range of the species considered. In this analysis, we used a logistic output of MaxEnt, with suitability values ranging from 0 (fully unsuitable habitat) to 1 (optimal habitat) (Phillips & Dudík 2008).…”

Section: Predicting Distributions Of the Functional Groupsmentioning

confidence: 98%

Predicting the distribution of potential natural vegetation based on species functional groups in fragmented and species-rich forests

Zhang

Zang

Convertino

2013

Plecevo

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Background and aims -Potential natural vegetation (PNV) can provide a basic reference in guiding the restoration activities for damaged landscapes. Our aim was to find a practicable approach of reconstructing PNV based on functional groups (FGs) in species rich and fragmented forest region. Methods -A total of 149 sample plots (20 × 20 m) were laid and investigated systematically by 1 × 1 km or 1 × 2 km grids across the 482 km 2 forest region in Bawangling nature reserve, Hainan Island, China. The 579 woody plant species found were aggregated into eight functional groups (FGs) according to successional status and potential maximum height. The ecological niche model (MaxEnt) was adopted in predicting the potential distribution of the FGs. The relationship between occurrence probability of FGs and environmental factors was determined as a function of the predicted response curves. The PNV was produced by the overlay of maps for the potential distribution of the FGs, while referring the FGs interactions. Key results -The predicted pioneer FGs scattered widely in the whole landscape, while climax FGs mainly distributed in the central and south part of the study region. Pioneer FGs could better withstand environmental change and occurred in warmer and drier sites, while climax FGs are distributed in cooler and wetter conditions. The PNV could be reconstructed by considering interactions among the FGs. Sixteen main functional patch types were reconstructed in the tropical forest landscape, among which twelve were dominated by climax FGs, accounting for 72.7% of the area, and only four were dominated by pioneer FGs, and accounting for 18.8% of the area. Conclusion -We produced successful prediction of the observed PNV by applying a niche-based model (MaxEnt) based on FGs in fragmented and species rich forest region. This is helpful for predicting how PNV will change to natural and anthropic stressors.

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“…area accessibility [3,17]), which act in the geographic space and are related each other in a scale-dependent way [11,18]. The majority of the studies focusing on spatial scale were devoted at analysing spatial grain and/or extent (sensu Wiens [15]) and how SDM respond to their changes [7,8,10,12,14]. These two components in the SDM studies have been generally associated respectively to the resolution (pixel size) and the geographic range (extent of the study area) at which the models are developed [8].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Spatial Scale Effect of Anthropogenic Factors on Species Distribution

et al. 2013

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Patch context is a way to describe the effect that the surroundings exert on a landscape patch. Despite anthropogenic context alteration may affect species distributions by reducing the accessibility to suitable patches, species distribution modelling have rarely accounted for its effects explicitly. We propose a general framework to statistically detect the occurrence and the extent of such a factor, by combining presence-only data, spatial distribution models and information-theoretic model selection procedures. After having established the spatial resolution of the analysis on the basis of the species characteristics, a measure of anthropogenic alteration that can be quantified at increasing distance from each patch has to be defined. Then the distribution of the species is modelled under competing hypotheses: H0, assumes that the distribution is uninfluenced by the anthropogenic variables; H1, assumes the effect of alteration at the species scale (resolution); and H2, H3 … Hn add the effect of context alteration at increasing radii. Models are compared using the Akaike Information Criterion to establish the best hypothesis, and consequently the occurrence (if any) and the spatial scale of the anthropogenic effect. As a study case we analysed the distribution data of two insular lizards (one endemic and one naturalised) using four alternative hypotheses: no alteration (H0), alteration at the species scale (H1), alteration at two context scales (H2 and H3). H2 and H3 performed better than H0 and H1, highlighting the importance of context alteration. H2 performed better than H3, setting the spatial scale of the context at 1 km. The two species respond differently to context alteration, the introduced lizard being more tolerant than the endemic one. The proposed approach supplies reliably and interpretable results, uses easily available data on species distribution, and allows the assessing of the spatial scale at which human disturbance produces the heaviest effects.

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Scale- and resolution-invariance of suitable geographic range for shorebird metapopulations

Cited by 30 publications

References 73 publications

Portfolio Decision Analysis Framework for Value-Focused Ecosystem Management

Portfolio Decision Analysis Framework for Value-Focused Ecosystem Management

Predicting the distribution of potential natural vegetation based on species functional groups in fragmented and species-rich forests

Assessing the Spatial Scale Effect of Anthropogenic Factors on Species Distribution

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