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Türkiye’de Nüfus Yaşlanması, Yerel Düzeyde Tehlike Çanları Çalıyor!
Pub Date : 2022-07-30 DOI: 10.26650/jgeog2022-1059215
Mustafa Yakar, E. Özgür
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引用次数: 1
Yeni Paleontolojik Analizlerin Işığında Finike Ovasının Paleocoğrafyası ve Limyra’nın Jeoarkeolojisi
Pub Date : 2022-06-30 DOI: 10.26650/jgeog2022-1082292
Ertuğ Öner, Rifat Ilhan, Serdar Vardar, Aylin Karadaş
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引用次数: 0
Exploring Traditional Ecological Knowledge (TEK) as an Urgent Action to Combat Climate Change in Turkey 探索传统生态知识(TEK)是土耳其应对气候变化的紧急行动
Pub Date : 2022-06-30 DOI: 10.26650/jgeog2022-1093425
Seyfullah Gül
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引用次数: 1
Uzun Dönemli (1984-2020) Arazi Kullanımı Değişiminin Tespiti ve Modellemesi (2035): Gölcük İlçesi’nin Analizi
Pub Date : 2022-06-30 DOI: 10.26650/jgeog2022-997334
Sultan Bolat, M. Doğan
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引用次数: 0
Nusaybin: Bir Sinir Şehrinin Mekânsal Gelişimi 努赛宾神经城的空间发展
Pub Date : 2022-06-30 DOI: 10.26650/jgeog2022-1084421
Rauf Belge
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引用次数: 0
Anadolu’da Konifer Ağaçların Yayılış Alanlarındaki Değişimler
Pub Date : 2022-06-30 DOI: 10.26650/jgeog2022-974433
D. Koç, H. Dalfes, Meral Avcı
This study aims to estimate the responses of Cedrus libani, Abies cilicica, and Juniperus drupacea to the Last Glacial Maximum (LGM), present and future climate changes in Anatolia. For this purpose, the temporal and spatial distributions of these conifer species were modeled, based on global climate change scenarios. Accordingly, the temporal and spatial distributions of the studied species are predicted and back-projected using fossil pollen data, occurrence data, and 19 bioclimatic variables collected from the WorldClim database. The principal component analysis (PCA) method was applied to these variables, resulting in the identification of 8 variables for the species distribution model. Past and future climate information is based on CCSM4 and RCP 8.5 scenario was assumed for future projections. Furthermore, both MaxEnt 3.4.1 and ArcGIS 10.5 were utilized to develop the models. At every instance, the area under curve (AUC) test values that determine the accuracy of the projections is >0,90. Among the 8 bioclimatic variables, those that contributed the most to the models were as follows: Cedrus libani, BIO14 (%32,3), BIO8 (%23,7), BIO15 (%19,2); Abies cilicica BIO8 (%30,5), BIO14 (%24,1), BIO15 (%19,5); Juniperus drupacea, BIO15 (%38,1), BIO12 (%30,9), and BIO4 (%13,1). Cedrus libani, Abies cilicica, and Juniperus drupacea found suitable habitats in the south of Anatolia during the LGM, according to the results. From the Holocene onward, their distribution areas narrowed and reached the present-day borders. Future predictions indicate that some of the ecological conditions of the species will be lost, and their areas will narrow. ABSTRACT Climate change is recognized as a major threat to the survival of species and the integrity of ecosystems. Changes in climate have had substantial effects on the floristic density, presence of relict species, and endemism of certain regions. Anatolia has been one of the shelter areas for plants in the eastern Mediterranean Basin, particularly during the climate changes in the Quaternary. Several tree species expanded their distribution areas toward Anatolia in the Mediterranean Basin during the Last Glacial Maximum (LGM). However, during the 21 st century, rising temperatures in the eastern Mediterranean Basin are likely to impact the distribution of conifer trees. According to the International Union for Conservation of Nature (IUCN) Red Endangered Species, Cedrus libani and Abies cilicica subsp. isaurica are classified as “Vulnerable (VU),” while Abies cilicica subsp. cilicica is classified as “Near Threatened (NT).” Also, Juniperus drupacea is a Tertiary relict plant and has narrow distribution. In addition, human activities are among the primary factors limiting the distribution of the species. Therefore, we aim to determine the possible distribution status of Cedrus libani, Abies cilicica , and Juniperus drupacea in Anatolia during the LGM and in the future, taking into account various climate change sce
摘要本研究旨在评估安那托利亚杉木、冷杉和朱柏对末次盛冰期(LGM)、当前和未来气候变化的响应。为此,基于全球气候变化情景,模拟了这些针叶树的时空分布。基于此,利用化石花粉资料、发生量资料和WorldClim数据库收集的19个生物气候变量,对研究物种的时空分布进行了预测和反演。采用主成分分析(PCA)方法对这些变量进行分析,得到8个物种分布模型变量。过去和未来的气候信息基于CCSM4,未来预估假设RCP 8.5情景。利用MaxEnt 3.4.1和ArcGIS 10.5开发模型。在每一个实例中,决定投影精度的曲线下面积(AUC)测试值都大于0,90。在8个生物气候变量中,对模型贡献最大的是雪松,BIO14 (%32,3), BIO8 (%23,7), BIO15 (%19,2);冷杉(Abies cilicica) BIO8 (%30,5), BIO14 (%24,1), BIO15 (%19,5);朱柏,BIO15 (% 38.1), BIO12 (% 30.9), BIO4(% 13.1)。根据研究结果,雪松、冷杉和杜松在LGM期间在安纳托利亚南部找到了合适的栖息地。从全新世开始,它们的分布区域缩小并到达了今天的边界。未来的预测表明,该物种的一些生态条件将会丧失,它们的生存区域将会缩小。气候变化被认为是对物种生存和生态系统完整性的重大威胁。气候的变化对植物区系密度、残种的存在和某些地区的特有性产生了实质性的影响。安纳托利亚一直是地中海盆地东部植物的庇护区之一,特别是在第四纪气候变化期间。末次盛冰期(LGM)期间,地中海盆地一些树种向安纳托利亚扩展了分布区域。然而,在21世纪,地中海东部盆地的气温上升可能会影响针叶树的分布。根据国际自然保护联盟(IUCN)的红色濒危物种,雪松和冷杉亚种。isaurica被归类为“易危(VU)”,而冷杉(Abies cilicica)亚种。纤毛虫被归类为“近危(NT)”。朱柏属第三系孑遗植物,分布较窄。此外,人类活动是限制该物种分布的主要因素之一。因此,我们的目标是在排除人类影响的情况下,在LGM期间和未来考虑各种气候变化情景的情况下,确定雪松(Cedrus libani)、冷杉(Abies cilicica)和杜松(Juniperus drupacea)在安纳托利亚的可能分布状况。本研究利用杉木属、冷杉属和杜松属的花粉化石记录,对LGM模型的性能进行了测试,并确定了潜在的过去避难所。该物种的发生分布数据来源于全球生物多样性信息设施(GBIF)数据库、欧洲森林遗传资源计划(EUFORGEN)数据库和野外研究。从WorldClim中获取了19个生物气候变量,建立了物种分布模型。对这些变量进行主成分分析(PCA),得到物种分布模型的8个变量。气候输入采用CCSM4 (Community climate System Model, version 4)代表性浓度路径(RCP) 8.5情景下的气候预估。生物气候变量数据包括LGM、现在和未来CCSM4的数据
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引用次数: 1
Ağrı İlinde Meydana Gelen Doğal Afetlerin Mekânsal ve Zamansal Analizi
Pub Date : 2022-06-30 DOI: 10.26650/jgeog2022-978387
Ahmet Toprak, Murat Sunkar
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引用次数: 0
İstanbul Üniversitesi Coğrafya Dergisi’nin Bibliyometrik Analizi
Pub Date : 2022-06-30 DOI: 10.26650/jgeog2022-1057635
Mustafa Kahraman
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引用次数: 0
Şehirlerin Pandemik Kırılganlık Seviyelerinin Faktör Analizi Yöntemiyle Belirlenmesi 用因子分析法确定城市的流行病脆弱性水平
Pub Date : 2022-06-30 DOI: 10.26650/jgeog2022-1057248
Cem Kırlangıçoğlu
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引用次数: 0
Suitability Analysis of Apiculture (Beekeeping) Activity Areas with Multi-Criteria Method: A Case Study of Adıyaman 基于多标准法的养蜂活动区域适宜性分析——以Adıyaman为例
Pub Date : 2022-06-30 DOI: 10.26650/jgeog2022-894419
Necmettin Elmastas, I. Ölmez, E. Vural
Turkey ranks 2 nd in the world in terms of honey production. Due to many factors that favor Turkey, i.e. rich flora properties, topographically suitable fields, and different climate zones, honey production can be done almost year-long. This study covers Adiyaman province, which is located in the southeast Anatolian region. Adiyaman province, in addition to its topographic diversity, has a rich flora due to the effects of the continental climate and partly Mediterranean climate, acting as a bridge due to the fact that eastern Anatolia, southeastern Anatolia and the Mediterranean region are in the transition zone. The fact that Adiyaman province is rich in flora and topography, as well as being suitable for other features, has allowed many criteria to be used together in the study. The purpose of this study is to identify areas in the province of Adiyaman that are suitable for beekeeping, taking into account natural and human factors. In this context, the layers formed by natural and human environment elements were taken into account in order to obtain maximum efficiency from the bees. In addition, the expectations of the honey producers were analyzed using Geographic Information Systems (GIS). In this context, the results were redesigned as inappropriate, less suitable, appropriate and most appropriate areas with masking process and results maps were made.
土耳其的蜂蜜产量位居世界第二。由于许多有利于土耳其的因素,即丰富的植物群特性,地形适宜的田地和不同的气候带,蜂蜜生产几乎可以进行一年。本研究涵盖了位于安纳托利亚地区东南部的阿迪亚曼省。Adiyaman省除了地形多样性外,由于大陆性气候和部分地中海气候的影响,拥有丰富的植物群,由于安纳托利亚东部,安纳托利亚东南部和地中海地区处于过渡区,因此具有桥梁作用。Adiyaman省具有丰富的植物群和地形,以及适合其他特征,因此可以在研究中同时使用许多标准。本研究的目的是在考虑自然和人为因素的情况下,确定Adiyaman省适合养蜂的地区。在这种情况下,考虑到自然和人为环境因素形成的层,以便从蜜蜂获得最大的效率。此外,利用地理信息系统(GIS)分析了蜂蜜生产者的期望。在这种情况下,结果被重新设计为不合适、不太合适、合适和最合适的区域,并制作了掩蔽过程和结果图。
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引用次数: 1
期刊
Coğrafya Dergisi / Journal of Geography
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