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Sustainable conservation planning depends on understanding local context including the way social values impact a landscape. Flamingos are used here as a flagship species to focus the social values of a broad range of people living in and working in the Camargue in France. A survey questionnaire (n = 87) was used to identify the range of ways in which people value the landscape and their perception of effectiveness of flamingo management strategies. Survey analysis was conducted through a multi-method approach, triangulating standard descriptive statistics, qualitative data analysis, and multivariate analysis applying numerical taxonomy. Applying numerical taxonomy allowed us to identify and define six social assemblages. Each assemblage had geographical characteristics with distinct values and perceptions in relation to management. The primary residence and geographic identity of the participants was defining, showing clear value differences from participants living in different parts of the delta. The participants most frequently agreed that flamingos contributed to the aesthetic, economic, biodiversity, and recreational values of the landscape. We show how identifying points of consensus and points in contest is necessary for navigating differences in values for conservation planning. This research shows the importance of the local social context in sustainably managing landscape change.
Lisa Ernoul; Angela Wardell-Johnson; Raphaël Mathevet; Alain Sandoz; Olivier Boutron; Loïc Willm; Stephan Arnassant; Arnaud Béchet. Context in Landscape Planning: Improving Conservation Outcomes by Identifying Social Values for a Flagship Species. Sustainability 2021, 13, 6827 .
AMA StyleLisa Ernoul, Angela Wardell-Johnson, Raphaël Mathevet, Alain Sandoz, Olivier Boutron, Loïc Willm, Stephan Arnassant, Arnaud Béchet. Context in Landscape Planning: Improving Conservation Outcomes by Identifying Social Values for a Flagship Species. Sustainability. 2021; 13 (12):6827.
Chicago/Turabian StyleLisa Ernoul; Angela Wardell-Johnson; Raphaël Mathevet; Alain Sandoz; Olivier Boutron; Loïc Willm; Stephan Arnassant; Arnaud Béchet. 2021. "Context in Landscape Planning: Improving Conservation Outcomes by Identifying Social Values for a Flagship Species." Sustainability 13, no. 12: 6827.
Wetlands have been declining worldwide over the last century with climate change becoming an additional pressure, especially in regions already characterized by water deficit. This paper investigates how climate change will affect the values and functions of Mediterranean seasonally-flooded wetlands with emergent vegetation. We simulated the future evolution of water balance, wetland condition and water volumes necessary to maintain these ecosystems at mid- and late- 21st century, in 229 localities around the Mediterranean basin. We considered future projections of the relevant climatic variables under two Representative Concentration Pathway scenarios assuming a stabilization (RCP4.5) or increase (RCP 8.5) of greenhouse gases emissions. We found similar increases of water deficits at most localities around 2050 under both RCP scenarios. By 2100, however, water deficits under RCP 8.5 are expected to be more severe and will impact all localities. Simulations performed under current conditions show that 97% of localities could have wetland habitats in good state. By 2050, however, this proportion would decrease to 81% and 68% under the RCP 4.5 and RCP 8.5 scenarios, respectively, decreasing further to 52% and 27% by 2100. Our results suggest that wetlands can persist with up to a 400 mm decrease in annual precipitation. Such resilience to climate change is attributed to the semi-permanent character of wetlands (lower evaporation on dry ground) and their capacity to act as reservoir (higher precipitation expected in some countries during winter). Countries at highest risk of wetland degradation and loss are Algeria, Morocco, Portugal and Spain. Degradation of wetlands with emergent vegetation will negatively affect their biodiversity and the services they provide by eliminating animal refuges and primary resources for industry and tourism. A sound strategy to preserve these wetlands would consist of proactive management to reduce non-climate stressors.
Gaëtan Lefebvre; Lauren Redmond; Christophe Germain; Elisa Palazzi; Silvia Terzago; Loïc Willm; Brigitte Poulin. Predicting the vulnerability of seasonally-flooded wetlands to climate change across the Mediterranean Basin. Science of The Total Environment 2019, 692, 546 -555.
AMA StyleGaëtan Lefebvre, Lauren Redmond, Christophe Germain, Elisa Palazzi, Silvia Terzago, Loïc Willm, Brigitte Poulin. Predicting the vulnerability of seasonally-flooded wetlands to climate change across the Mediterranean Basin. Science of The Total Environment. 2019; 692 ():546-555.
Chicago/Turabian StyleGaëtan Lefebvre; Lauren Redmond; Christophe Germain; Elisa Palazzi; Silvia Terzago; Loïc Willm; Brigitte Poulin. 2019. "Predicting the vulnerability of seasonally-flooded wetlands to climate change across the Mediterranean Basin." Science of The Total Environment 692, no. : 546-555.
Many wetlands are characterized by a vegetation cover of variable height and density over time. Tracking spatio-temporal changes in inundation patterns of these wetlands remains a challenge for remote sensing. Water In Wetlands (WIW) was predicted using a dichotomous partitioning of reflectance values encoded based on ground-truth (n = 4038) and optical-space derived (n = 7016) data covering all land cover types (n = 17) found in the Rhône delta, southern France. The models were developed with spectral data from Sentinel 2, Landsat 7, and Landsat 8 sensors, hence providing a monitoring tool that covers a 35-year period (same sensor for Landsat 5 and 7). A single model combining the near infrared (NIR ≤ 0.1558 to 0.1804, depending on sensors) and short-wave infrared (SWIR2 ≤ 0.0871 to 0.1131) wavelengths was identified by three independent analyses, each one using a different satellite. Overall accuracy of water maps ranged from 89% to 94% for the training samples and from 90% to 94% for the validation samples, encompassing standard water indices that systematically underestimate flooding duration under vegetation cover. Sentinel 2 provided the highest performance with a kappa coefficient of 0.82 for both samples. Such tool will be most useful for monitoring the water dynamics of seasonal wetlands, which are particularly sensitive to climate change while providing multiple services to humankind. Considering the high temporal resolution of Sentinel 2 (every 5 days), cumulative water maps built with the WIW logical rule could further be used for mapping a wide range of wetlands which are either periodically or permanently flooded.
Gaëtan Lefebvre; Aurélie Davranche; Loïc Willm; Julie Campagna; Lauren Redmond; Clément Merle; Anis Guelmami; Brigitte Poulin. Introducing WIW for Detecting the Presence of Water in Wetlands with Landsat and Sentinel Satellites. Remote Sensing 2019, 11, 2210 .
AMA StyleGaëtan Lefebvre, Aurélie Davranche, Loïc Willm, Julie Campagna, Lauren Redmond, Clément Merle, Anis Guelmami, Brigitte Poulin. Introducing WIW for Detecting the Presence of Water in Wetlands with Landsat and Sentinel Satellites. Remote Sensing. 2019; 11 (19):2210.
Chicago/Turabian StyleGaëtan Lefebvre; Aurélie Davranche; Loïc Willm; Julie Campagna; Lauren Redmond; Clément Merle; Anis Guelmami; Brigitte Poulin. 2019. "Introducing WIW for Detecting the Presence of Water in Wetlands with Landsat and Sentinel Satellites." Remote Sensing 11, no. 19: 2210.