Ecological niche modeling under climate change to select shrubs for ecological restoration in Central Mexico

Gelviz-Gelvez, Sandra Milena; Pavón, Numa P.; Illoldi-Rangel, Patricia; Ballesteros-Barrera, Claudia

doi:10.1016/j.ecoleng.2014.09.082

Cited by 58 publications

(36 citation statements)

References 52 publications

(68 reference statements)

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“…Ideally, a restoration target should be set so that it both complies with actual and future conditions (Battin et al 2007;Choi et al 2008). The dominant target species can serve as a proxy when estimating habitat survival under climate change (Gelviz-Gelvez et al 2015). Oaks are reported to tolerate well the expected climate change in the Carpathian Basin (Hlásny et al 2014).…”

Section: Discussionmentioning

confidence: 99%

Restoration prioritization for industrial area applying multiple potential natural vegetation modeling

Török

Csecserits

Somodi

et al. 2017

Restoration Ecology

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Scaling‐up ecological restoration demands the involvement of private sector actors. Experience regarding science‐based habitat restoration programs in the sector should be made available to support further joint projects. In our case, hierarchical restoration prioritization was applied to select best target for habitat reconstruction at a Hungarian industrial area. Multiple potential natural vegetation model, a novel approach, supported restoration prioritization satisfying both ecological (sustainability and nature conservation value) and other needs (feasibility, rapid green surface, amenity, and education value). The target that met all priorities was the open steppe forest that has a mosaic arrangement with open and closed sand steppes. The potential area of this xero‐thermophile oak wood is expected to expand in Hungary with climate change, therefore the selected target has a likelihood of long‐term sustainability, if established. A matrix of sand steppes was created first at the factory area in 2014–2015, and tree and shrub saplings were planted in this matrix. The seeding induced rapid changes in vegetation composition: the second year samples became close to reference sand steppes in the principal component analysis ordination space. Tree and shrub survival was species dependent, reaching a maximum of 52 and 73% for tree and shrub species, respectively. One tree and 2 shrub species did not survive at all. Altogether 53 of 107 target species have established. So far, restored vegetation development confirmed the suitability of the applied hierarchical prioritization framework at factory scale.

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Section: Discussionmentioning

confidence: 99%

Restoration prioritization for industrial area applying multiple potential natural vegetation modeling

Török

Csecserits

Somodi

et al. 2017

Restoration Ecology

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show abstract

“…Understanding the interaction between species and its surrounding environmental variables is significant to predict the current and future species habitat distribution (Adhikari et al, 2012;Baldwin, 2009). Hence it is taken as one of the essential factors in many ecological engineering methods as well as in most of the sustainable climate change adaptation management practices in order to conserve biodiversity (Zai et al, 2009;Gelviz-Gelvez et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Predicting the current and future suitable habitat distribution of Myristica dactyloides Gaertn. using MaxEnt model in the Eastern Ghats, India

Remya

Ramachandran

Jayakumar

2015

Ecological Engineering

196

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“…In fact, while B. miersii is predicted to see reductions in its potential distribution under the future climate, P. splendens is expected to have an opposite response, presenting a large increase in projected distribution. This species specific response to climate change highlights the importance to take into account the future climate variability for planning plant species restoration initiatives (Gelviz-Gelvez et al 2015). Because these two species are dominant trees in their respective ecological community, they can be used as proxy for selecting priority sites for restoration efforts focused in the entire vegetation community.…”

Section: Discussionmentioning

confidence: 99%

Prioritization of sites for plant species restoration in the Chilean Biodiversity Hotspot: A spatial multi-criteria decision analysis approach

2015

Preprint

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Various initiatives to identify global priority areas for conservation have been developed over the last 20 years (e.g. Biodiversity Hotspots). However, translating this information to actionable local scales has proven to be a major task, highlighting the necessity of efforts to bridge the global-scale priority areas with local-based conservation actions. Furthermore, as these global priority areas are increasingly threatened by climate change and by the loss and alteration of their natural habitats, developing additional efforts to identify priority areas for restoration activities is becoming an urgent task. In this study we used a Spatial Multi-Criteria Decision Analysis (SMCDA) approach to help optimize the selection of sites for restoration initiatives of two endemic threatened flora species of the ″Chilean Winter Rainfall-Valdivian Forest″ Hotspot. Our approach takes advantage of freely GIS software, niche modeling tools, and available geospatial databases, in an effort to provide an affordable methodology to bridge global-scale priority areas with local actionable restoration scales. We used a set of weighting scenarios to evaluate the potential effects of short-term vs long-term planning perspective in prioritization results. The generated SMCDA was helpful for evaluating, identifying and prioritizing best suitable areas for restoration of the assessed species. The method proved to be simple, transparent, cost effective and flexible enough to be easily replicable on different ecosystems. This approach could be useful for prioritizing regional-scale areas for species restoration in Chile, as well as in other countries with restricted budgets for conservation efforts.

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Ecological niche modeling under climate change to select shrubs for ecological restoration in Central Mexico

Cited by 58 publications

References 52 publications

Restoration prioritization for industrial area applying multiple potential natural vegetation modeling

Restoration prioritization for industrial area applying multiple potential natural vegetation modeling

Predicting the current and future suitable habitat distribution of Myristica dactyloides Gaertn. using MaxEnt model in the Eastern Ghats, India

Prioritization of sites for plant species restoration in the Chilean Biodiversity Hotspot: A spatial multi-criteria decision analysis approach

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