Potential distribution of two lynx species in europe under paleoclimatological scenarios and anthropogenic climate change scenarios

Kiraç, Akın

doi:10.1590/01047760202127012517

Cited by 3 publications

(3 citation statements)

References 24 publications

(26 reference statements)

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“…We selected two climatic niche modeling methods, maximum entropy (Maxent) and generalized additive models (GAM), which have been used frequently and have outperformed other climatic niche modeling methods [43,[52][53][54]. No single modeling approach will perform best in every scenario [55], thus we developed two statistically contrasting models and integrated the predictions by calculating the mean suitability score for each pixel.…”

Section: Cnm Development and Evaluationmentioning

confidence: 99%

Vulnerability Assessment of Groundwater Influenced Ecosystems in the Northeastern United States

Snyder,

Loftin,

Reeve

2024

Water

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Groundwater-influenced ecosystems (GIEs) are increasingly vulnerable due to groundwater extraction, land-use practices, and climate change. These ecosystems receive groundwater inflow as a portion of their baseflow or water budget, which can maintain water levels, water temperature, and chemistry necessary to sustain the biodiversity that they support. In some systems (e.g., springs, seeps, fens), this connection with groundwater is central to the system’s integrity and persistence. Groundwater management decisions for human use often do not consider the ecological effects of those actions on GIEs. This disparity can be attributed, in part, to a lack of information regarding the physical relationships these systems have with the surrounding landscape and climate, which may influence the environmental conditions and associated biodiversity. We estimate the vulnerability of areas predicted to be highly suitable for the presence of GIEs based on watershed (U.S. Geological Survey Hydrologic Unit Code 12 watersheds: 24–100 km2) and pixel (30 m × 30 m pixels) resolution in the Atlantic Highlands and Mixed Wood Plains EPA Level II Ecoregions in the northeastern United States. We represent vulnerability with variables describing adaptive capacity (topographic wetness index, hydric soil, physiographic diversity), exposure (climatic niche), and sensitivity (aquatic barriers, proportion urbanized or agriculture). Vulnerability scores indicate that ~26% of GIEs were within 30 m of areas with moderate vulnerability. Within these GIEs, climate exposure is an important contributor to vulnerability of 40% of the areas, followed by land use (19%, agriculture or urbanized). There are few areas predicted to be suitable for GIEs that are also predicted to be highly vulnerable, and of those, climate exposure is the most important contributor to their vulnerability. Persistence of GIEs in the northeastern United States may be challenged as changes in the amount and timing of precipitation and increasing air temperatures attributed to climate change affect the groundwater that sustains these systems.

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Section: Cnm Development and Evaluationmentioning

confidence: 99%

Vulnerability Assessment of Groundwater Influenced Ecosystems in the Northeastern United States

Snyder,

Loftin,

Reeve

2024

Water

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“…Ekosistemlerde model tabanlı haritalama konusunda bitki ve hayvan türlerine yönelik gerçekleştirilen birçok çalışma bulunmaktadır (Şentürk, 2012;Özkan ve ark., 2015;Mert ve ark., 2016;Kıraç ve Mert, 2019;Kıraç, 2021). Canlı türlerine yönelik çalışmalar ile kıyaslandığında cansız ortam faktörlerinin model tabanlı haritalamasına yönelik çalışmalar ise çok daha düşük oranda kalmıştır.…”

Section: Introductionunclassified

Model based distribution maps of some soil properties in Akdağ massif

Çelik¹,

Özkan

Mert

et al. 2021

Ormancılık Araştırma Dergisi

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Bu çalışma Kütahya-Simav yöresinde yer alan Akdağ Kütlesi'nde bazı fiziksel toprak özelliklerinin haritalanması amacıyla gerçekleştirilmiştir. Toprak özelliklerinin dağılım modellerini elde etmek için regresyon ağacı tekniği (RTT) kullanılmıştır. Toprak kireç içeriği (10-30 cm), toprak derinliği ve genel toprak taşlılığına ait ağaç modeller elde edilememiştir. Elde edilen ağaç modellerden, hem eğitim seti (ta) hem de test seti (tb) sonuçlarına göre, en yüksek açıklanan varyans (R 2 ) değerlerine sahip toprak özellikleri sırası ile Kil2 (R 2 (ta)= 0,384; R 2 (tb)=0,313), Kum2 (R 2 (ta)= 0,370; R 2 (tb)=0,280), Kil1 (R 2 (ta)= 0,495; R 2 (tb)=0,236) ve Kum1 (R 2 (ta)= 0,404; R 2 (tb)= 0,233) içerikleri olmuştur. Ayrıca bu toprak özelliklerinin tamamına ait ortalama mutlak yüzde hata (MAPE) değerleri kabul edilebilir kestirim geçerliliği anlamına gelen 50 değerinin altında kalmıştır. Diğer toprak özelliklerinin ağaç modellerinde eğitim ve özellikle test R 2 değerleri düşük veya çok düşük çıkmıştır. RTT ile elde edilen dağılım modelleri çalışma alanı boyunca yaygınlaştırılmış ve böylece toprak özelliklerine ait dağılım haritaları çıkartılmıştır.

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“…While the population of the species has risen, this unfortunately does not mean that the population is no longer prone to extinction due to climate change, especially when looking at the longterm future. Even when the population had risen in the past, different researchers discussed climate change as a major threat to the survival of the species [3,4]. The fact that the population has continued to increase has likely made the species more robust towards the effects of climate change.…”

mentioning

confidence: 99%