User Guide
Why can I only view 3 results?
You can also view all results when you are connected from the network of member institutions only. For non-member institutions, we are opening a 1-month free trial version if institution officials apply.
So many results that aren't mine?
References in many bibliographies are sometimes referred to as "Surname, I", so the citations of academics whose Surname and initials are the same may occasionally interfere. This problem is often the case with citation indexes all over the world.
How can I see only citations to my article?
After searching the name of your article, you can see the references to the article you selected as soon as you click on the details section.
  Citation Number 2
 Views 15
 Downloands 2
Kokulu Ardıç’ın (Juniperus foetidissima Willd.) Günümüz ve Gelecekteki Potansiyel Yayılışının Makine Öğrenmesi ile Modellenmesi
2021
Journal:  
Avrupa Bilim ve Teknoloji Dergisi
Author:  
Abstract:

Küresel ölçekte incelendiğinde, biyolojik çeşitlilik sağlama ve karbon tutma bakımından önemli ekosistemler arasındaki ormanların, biyotik, abiyotik ve antropojenik etkenler nedeniyle önemli değişimler içerisinde olduğu görülmektedir. Bu süreçte, iklimin belirleyici bir rolü olduğu kabul edilmiştir. Buna ek olarak, değişen iklim koşullarının, ormanların dağılımını, bileşimini, işlevini önemli oranda değiştireceği ve sonuç olarak biyolojik çeşitliliği tehdit edeceği öngörülmüştür. Bu çalışmanın amacı; Türkiye’de doğal yayılış gösteren ve orman ekosistemine ekolojik katkısı ile ön planda olan türler arasındaki kokulu ardıçın (Juniperus foetidissima Willd.), günümüz ve gelecekteki potansiyel coğrafi dağılımının tür varlığı verisi ve çevresel değişkenler (biyoiklimsel değişkenler ve yükseklik) ile modellenmesidir. Ayrıca, J. foetidissima Willd.’nin potansiyel yayılış alanlarının, günümüzde ve gelecekte alansal ve konumsal olarak nasıl değişiklik gösterdiği de değişim analizleri ile ortaya konmuştur. Bu kapsamda, tür dağılımı SSP2 4.5 ve SSP5 8.5 senaryolarına göre 2041-2060 ve 2081-2100 periyotlarını kapsayacak şekilde belirlenmiştir. Maksimum entropi modelinin kullanıldığı bu çalışmada, her bir tahmin değişkeninin göreceli katkısı Jackknife (çek-çıkar) testi ile belirlenmiş, çoklu doğrusallığı önlemek amacıyla Pearson korelasyonundan yararlanılmıştır. Bulgular, J. foetidissima Willd.’nin yayılışında en önemli değişkenlerin sırasıyla yükseklik, soğuk ayın en az sıcaklığı (BIO6) ve en nemli mevsimin ortalama sıcaklığı (BIO8) olduğunu göstermiştir. Tahmin doğruluğunu ifade eden ROC eğrisi, kullanılan modelin simülasyon gücünün çok yüksek olduğunu ifade etmektedir. Model sonuçlarına göre, J. foetidissima Willd.’nin potansiyel yayılışında önemli miktarda değişiklikler olacağı ve türün iklim değişikliğinden ciddi oranda olumsuz etkileneceği tahmin edilmiştir. Değişim analizi sonuçları, habitat uygunluğundaki alansal kaybın, kazanç miktarından daha fazla olduğunu göstermektedir. Sonuç olarak, bu çalışmada J. foetidissima Willd.’nin iklim değişikliklerine adaptasyon direncinin düşük olacağı ve dolayısıyla tür koruma çalışmalarına dâhil edilmesi gerektiği vurgulanmıştır. Bu çalışmanın bulguları, türün gelecekte sürdürülebilmesi ve korunmasına yönelik güçlü stratejilerin belirlenebilmesi amacıyla kullanılabilir.

Keywords:

The Spice of the Spice (Juniperus foetidissima Willd.) Modeling the present and future potential spread with machine learning
2021
Author:  
Abstract:

When studied globally, it is found that forests between important ecosystems in terms of biodiversity and carbon retention are under significant changes due to biotic, abiotic and anthropogenic factors. In this process, climate has been recognized as a decisive role. In addition, it is predicted that changing climate conditions will significantly change the distribution, composition, function of forests and consequently threaten biological diversity. The aim of this study is to develop the aromatic follow-up between the species that show natural spread in Turkey and the ecological contribution to the forest ecosystem and the species that are in the forefront (Juniperus foetidissima Willd. The present and future potential geographical distribution is modeled by species existence data and environmental variables (bio-climate variables and height). Also, J. foetidissima Willd.It has also been revealed by the analysis of how the potential spread fields, in the present and in the future, are changing alansally and locally. In this context, species distribution is determined to cover the periods 2041-2060 and 2081-2100 according to SSP2 4.5 and SSP5 8.5 scenarios. In this study using the maximum entropic model, the proportional contribution of each predictive variable was determined by the Jackknife test, and the Pearson correlation was used to prevent multiple accuracy. The results, J. foetidissima Willd. The most important variables in the spread have shown that the height, the lowest temperature in the cold moon (BIO6) and the average temperature in the moistest season (BIO8) are respectively. The ROC curve, which represents predictive accuracy, indicates that the simulation power of the used model is very high. According to the model results, J. foetidissima Willd.It is estimated that there will be significant changes in its potential spread and that the species will be seriously affected by climate change. The results of change analysis indicate that the proportional loss in habitat conformity is greater than the amount of profits. As a result, in this study J. foetidissima Willd.It has been emphasized that the climate change adaptation resistance will be low and therefore it should be included in species protection efforts. The findings of this study can be used to identify strong strategies for the sustainability and preservation of the species in the future.

Keywords:

Modeling Of The Current and Future Potential Distribution Of Stinking Juniper (juniperus Foetidissima Willd.) With Machine Learning Techniques
2021
Author:  
Abstract:

Forest ecosystems, which are seen relevant in terms of providing biodiversity and capturing carbon, have been affected by significant changes due to biotic, abiotic, and anthropogenic factors over time. There is no doubt that climate has a decisive role in this process. In addition, previous studies claim that changing climatic conditions will significantly alter the distribution, composition, and function of forests and, consequently, threaten biodiversity. This study aims to model the present and future potential geographic distribution of the stinking juniper (Juniperus foetidissima Willd.), which has a natural and potential distribution in Turkey as an ecologically important species, with presence data and diverse environmental variables (bioclimatic predictors and altitude). In this context, species distributions were modelled to cover the 2041-2060 and 2081-2100 periods under the SSP2 4.5 and SSP5 8.5 scenarios. Using maximum entropy model, this study analyzed the relative contribution of each environmental predictor by Jackknife test. In order prevent high correlation and multicollinearity, the correlated factors were determined by Pearson correlation coefficient. The findings showed that the most significant variables in the distribution of J. foetidissima were elevation, minimum temperature of coldest month (BIO6), and mean temperature of wettest quarter (BIO8), respectively. Representing the prediction accuracy, ROC curve indicates that the predictive power of the model used in this study was great. According to the model results, it was predicted that there would be significant changes in the potential distribution of J. foetidissima Willd. and this species would be seriously adversely affected by climate change. The results of change analysis pointed out that the spatial loss in habitat suitability was greater than the amount of gain. As a result, this study suggested that J. foetidissima Willd.'s adaptation resistance to climate changes would be low, and therefore should be incorporated into species conservation. The findings of this study can be used to identify robust strategies for the future survival and conservation of the species.

Keywords:

Citation Owners
Attention!
To view citations of publications, you must access Sobiad from a Member University Network. You can contact the Library and Documentation Department for our institution to become a member of Sobiad.
Off-Campus Access
If you are affiliated with a Sobiad Subscriber organization, you can use Login Panel for external access. You can easily sign up and log in with your corporate e-mail address.
Similar Articles






Avrupa Bilim ve Teknoloji Dergisi

Field :   Fen Bilimleri ve Matematik; Mühendislik

Journal Type :   Uluslararası

Metrics
Article : 3.175
Cite : 5.553
2023 Impact : 0.178
Avrupa Bilim ve Teknoloji Dergisi