Habitat suitability mapping for sand cat (Felis margarita) in Central Iran using remote sensing techniques

Torabian, Shiva; Soffianian, Alireza; Fakheran, Sima; Asgarian, Ali; Feizabadi, Hossein Akbari; Senn, Josef

doi:10.1007/s41324-017-0152-0

Cited by 9 publications

(2 citation statements)

References 26 publications

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“…There have been several recent studies related to the HEP process, such as a recent study (2018) on the SI mapping for the implementation of changes in order to protect the sand cat ( Felis margatia ), an endangered species [38], and a study on the suitable habitat selection for black bears ( Ursus americanus ) which combined HSI index analysis and GPS points collection in the North Carolina area [39]. In many countries, quantitatively assessing environmental habitats should become important.…”

Section: Discussionmentioning

confidence: 99%

Application of Habitat Evaluation Procedure with Quantifying the Eco-Corridor in the Process of Environmental Impact Assessment

Choi

Lee

2019

IJERPH

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In contrast to other fields, environmental protection (e.g., habitat protection) often fails to include quantitative evaluation as part of the existing environmental impact assessment (EIA) process, and therefore the EIA is often a poor forecasting tool, which makes selecting a reasonable plan of action difficult. In this study, we used the Habitat Evaluation Procedure (HEP) to quantify the long-term effects of a road construction project on an ecosystem. The water deer (Hydropotes inermis) was selected as the species of study since it uses an optimum habitat; water deer habitat data were collected on vegetation cover, stream water density, geographic contour, land use class, and road networks. The Habitat Suitability Index (HSI) and Cumulative Habitat Unit (CHU) values for the water deer were estimated to investigate the major land cover classes, the national river systems, and vegetation cover. Results showed that the environmental impact in the road construction project area would result in a net ecological loss value of 1211 without installation of an eco-corridor, which reduced to 662 with an eco-corridor, providing a 55% increase in the net value after 50 years of the mitigation plan. Comparing the 13 proposed ecological mitigation corridors, the corridor that would result in the highest net increase (with an increase of 69.5), was corridor #4, which was regarded as the most appropriate corridor to properly connect water deer habitat. In sum, the study derived the net increase in quantitative values corresponding with different mitigation methods over time for a road construction project; this procedure can be effectively utilized in the future to select the location of ecological corridors while considering the costs of constructing them.

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Section: Discussionmentioning

confidence: 99%

Application of Habitat Evaluation Procedure with Quantifying the Eco-Corridor in the Process of Environmental Impact Assessment

Choi

Lee

2019

IJERPH

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“…We used the analytical hierarchy process (AHP) (Saaty, 1987) for expert elicitation because it is commonly used for eliciting habitat suitability of large mammals (Thinley et al., 2021; Torabian et al., 2018). This method can be inexpensively administered without the need for specialist software, making it straightforward for those seeking to develop expert‐based HSMs.…”

Section: Introductionmentioning

confidence: 99%

Comparing wildlife habitat suitability models based on expert opinion with camera trap detections

Hurtado

Hemming

Burton

2023

Conservation Biology

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Expert knowledge is used in the development of wildlife habitat suitability models (HSMs) for management and conservation decisions. However, the consistency of such models has been questioned. Focusing on 1 method for elicitation, the analytic hierarchy process, we generated expert‐based HSMs for 4 felid species: 2 forest specialists (ocelot [Leopardus pardalis] and margay [Leopardus wiedii]) and 2 habitat generalist species (Pampas cat [Leopardus colocola] and puma [Puma concolor]). Using these HSMs, species detections from camera‐trap surveys, and generalized linear models, we assessed the effect of study species and expert attributes on the correspondence between expert models and camera‐trap detections. We also examined whether aggregation of participant responses and iterative feedback improved model performance. We ran 160 HSMs and found that models for specialist species showed higher correspondence with camera‐trap detections (AUC [area under the receiver operating characteristic curve] >0.7) than those for generalists (AUC < 0.7). Model correspondence increased as participant years of experience in the study area increased, but only for the understudied generalist species, Pampas cat (β = 0.024 [SE 0.007]). No other participant attribute was associated with model correspondence. Feedback and revision of models improved model correspondence, and aggregating judgments across multiple participants improved correspondence only for specialist species. The average correspondence of aggregated judgments increased as group size increased but leveled off after 5 experts for all species. Our results suggest that correspondence between expert models and empirical surveys increases as habitat specialization increases. We encourage inclusion of participants knowledgeable of the study area and model validation for expert‐based modeling of understudied and generalist species.

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Sand Mining Consequences on Habitat Ecology, Water Quality and Species Diversity: Implementing of HSI, MLR, WQI and ANN Methods

Bhattacharya

Chatterjee

2021

River Sand Mining Modelling and Sustainable Practice

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Habitat suitability mapping for sand cat (Felis margarita) in Central Iran using remote sensing techniques

Cited by 9 publications

References 26 publications

Application of Habitat Evaluation Procedure with Quantifying the Eco-Corridor in the Process of Environmental Impact Assessment

Application of Habitat Evaluation Procedure with Quantifying the Eco-Corridor in the Process of Environmental Impact Assessment

Comparing wildlife habitat suitability models based on expert opinion with camera trap detections

Sand Mining Consequences on Habitat Ecology, Water Quality and Species Diversity: Implementing of HSI, MLR, WQI and ANN Methods

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