Europe's freshwater biodiversity under climate change: distribution shifts and conservation needs

Markovic, Danijela; Carrizo, Savrina F.; Freyhof, Jörg; Cid, Núria; Lengyel, Szabolcs; Scholz, Mathias; Kasperdius, Hans; Darwall, William

doi:10.1111/ddi.12232

Cited by 122 publications

(92 citation statements)

References 44 publications

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“…Freshwater biodiversity loss in Mediterranean regions from climate change is expected to be among the highest worldwide [142,143]. Predicted changes include increased variability in natural environmental conditions, with potential negative consequences for species persistence.…”

Section: Conservation Management In Mediterranean Regionsmentioning

confidence: 99%

High Variability Is a Defining Component of Mediterranean-Climate Rivers and Their Biota

Cid

Bonada

Carlson

et al. 2017

Water

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Abstract:Variability in flow as a result of seasonal precipitation patterns is a defining element of streams and rivers in Mediterranean-climate regions of the world and strongly influences the biota of these unique systems. Mediterranean-climate areas include the Mediterranean Basin and parts of Australia, California, Chile, and South Africa. Mediterranean streams and rivers can experience wet winters and consequent floods to severe droughts, when intermittency in otherwise perennial systems can occur. Inter-annual variation in precipitation can include multi-year droughts or consecutive wet years. Spatial variation in patterns of precipitation (rain vs. snow) combined with topographic variability lead to spatial variability in hydrologic patterns that influence populations and communities. Mediterranean streams and rivers are global biodiversity hotspots and are particularly vulnerable to human impacts. Biomonitoring, conservation efforts, and management responses to climate change require approaches that account for spatial and temporal variability (including both intra-and inter-annual). The importance of long-term data sets for understanding and managing these systems highlights the need for sustained and coordinated research efforts in Mediterranean-climate streams and rivers.

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Section: Conservation Management In Mediterranean Regionsmentioning

confidence: 99%

High Variability Is a Defining Component of Mediterranean-Climate Rivers and Their Biota

Cid

Bonada

Carlson

et al. 2017

Water

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“…Aquatic ecosystems are under increasing pressure from climate change, intensification of land use, and spread of invasive alien species [9][10][11]. As a result, the need to monitor changes in aquatic ecosystems is greater than ever.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Manual Mapping and Automated Object-Based Image Analysis of Non-Submerged Aquatic Vegetation from Very-High-Resolution UAS Images

2016

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Aquatic vegetation has important ecological and regulatory functions and should be monitored in order to detect ecosystem changes. Field data collection is often costly and time-consuming; remote sensing with unmanned aircraft systems (UASs) provides aerial images with sub-decimetre resolution and offers a potential data source for vegetation mapping. In a manual mapping approach, UAS true-colour images with 5-cm-resolution pixels allowed for the identification of non-submerged aquatic vegetation at the species level. However, manual mapping is labour-intensive, and while automated classification methods are available, they have rarely been evaluated for aquatic vegetation, particularly at the scale of individual vegetation stands. We evaluated classification accuracy and time-efficiency for mapping non-submerged aquatic vegetation at three levels of detail at five test sites (100 m × 100 m) differing in vegetation complexity. We used object-based image analysis and tested two classification methods (threshold classification and Random Forest) using eCognition ® . The automated classification results were compared to results from manual mapping. Using threshold classification, overall accuracy at the five test sites ranged from 93% to 99% for the water-versus-vegetation level and from 62% to 90% for the growth-form level. Using Random Forest classification, overall accuracy ranged from 56% to 94% for the growth-form level and from 52% to 75% for the dominant-taxon level. Overall classification accuracy decreased with increasing vegetation complexity. In test sites with more complex vegetation, automated classification was more time-efficient than manual mapping. This study demonstrated that automated classification of non-submerged aquatic vegetation from true-colour UAS images was feasible, indicating good potential for operative mapping of aquatic vegetation. When choosing the preferred mapping method (manual versus automated) the desired level of thematic detail and the required accuracy for the mapping task needs to be considered.

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“…Climate change can affect species' habitats by altering abiotic factors, which in turn affect biotic interactions and distribution patterns of species (Walther et al 2002). Under climate change, areas previously unsuitable may become suitable, while current suitable areas may become less appropriate for a species (Williams et al 2007, Liu et al 2011, Hu & Liu 2014, Markovic et al 2014. Previous studies showed that the climate changes of the 20th century have already affected the size, range, and elevation of many species' distributions, such as arctic shrubs (Sturm et al 2001), butterflies (Parmesan et al 1999, Boggs et al 2003, birds (Sun & Zhang 2000), and mammals (Hersteinsson & Macdonald 1992), with general trends of movement toward higher latitude or higher elevation.…”

Section: Introductionmentioning

confidence: 99%

Assessment of climatically suitable area for Syrmaticus reevesii under climate change

Feng¹,

Lin²,

Qiao³

et al. 2015

Endang. Species. Res.

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Global climate change is one of the major threats to biodiversity. Global warming caused by the excess emission of greenhouse gases affects the distribution and physiology of species, and threatens their survival. Thus, predicting and evaluating the consequences of changing climates on species' distributions is important for biodiversity conservation. The goal of our study was to assess the influence of future climate scenarios on the extent and geographic location of climatically suitable areas for Reeves's pheasant Syrmaticus reevesii, a species endemic to China, using geographic information systems and ecological niche modeling techniques. We compared model prediction under present climate with the species' historical range and land-cover data, both of which enable a plausible assessment of present-day climatically suitable areas for the species. The areas predicted suitable under future climates showed differences among emission scenarios, but several common trends emerged. Specifically, our results indicated that future climatically suitable area for S. reevesii would decrease and shift to higher altitudes, and the geographic centroids of the climatically suitable areas would mainly move northwest. Additionally, we assessed future changes of climatically suitable areas in the nature reserves where S. reevesii is known to occur, and provided suggestions for conserving the species under climate change scenarios.

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Europe's freshwater biodiversity under climate change: distribution shifts and conservation needs

Cited by 122 publications

References 44 publications

High Variability Is a Defining Component of Mediterranean-Climate Rivers and Their Biota

High Variability Is a Defining Component of Mediterranean-Climate Rivers and Their Biota

Comparison of Manual Mapping and Automated Object-Based Image Analysis of Non-Submerged Aquatic Vegetation from Very-High-Resolution UAS Images

Assessment of climatically suitable area for Syrmaticus reevesii under climate change

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