İçeriğe geç
akaturk Akademik ölçüm

Makale detayı · 2021

The estimation of non-irrigated crop area and production using the regression analysis approach: A case study of Bursa Region (Turkey) in the mid-nineteenth century

Dergi

PLOS ONE

ISSN 1932-6203

YÖKSİS OpenAlex Açık erişim · gold SJR Q1 JCR Q2 Atıf 8 Üst %10 Yüzdelik 94.7% FWCI 4.91
Yıl
2021
Tür
article

Veri kaynağı ayrımı

  • YÖKSİS YÖKSİS makale kaydı
  • YÖKSİS dergi adı PLOS ONE
  • Katalog eşleşmesi (ISSN) PLOS ONE
  • OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)

Özet

OpenAlex · İngilizce

Agricultural land cover and its changing extent are directly related to human activities, which have an adverse impact on the environment and ecosystems. The historical knowledge of crop production and its cultivation area is a key element. Such data provide a base for monitoring and mapping spatio-temporal changes in agricultural land cover/use, which is of great significance to examine its impacts on environmental systems. Historical maps and related data obtained from historical archives can be effectively used for reconstruction purposes through using sample data from ground observations, government inventories, or other historical sources. This study considered historical population and cropland survey data obtained from Ottoman Archives and cropland suitability map, accessibility, and geophysical attributes as ancillary data to estimate non-irrigated crop production and its corresponding cultivation area in the 1840s Bursa Region, Turkey. We used the regression analysis approach to estimate agricultural land area and grain production for the unknown data points in the study region. We provide the spatial distribution of production and its cultivation area based on the estimates of regression models. The reconstruction can be used in line with future historical research aiming to model landscape, climate, and ecosystems to assess the impact of human activities on the environmental systems in preindustrial times in the Bursa Region context.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

8 atıf

OpenAlex cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 10 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. Automatic Road Extraction from Historical Maps Using Deep Learning Techniques: A Regional Case Study of Turkey in a German World War II Map 2021 Atıf 45 · OpenAlex
  2. Automatic Road Extraction from Historical Maps Using Deep Learning Techniques: A Regional Case Study of Turkey in a German World War II Map 2021 Atıf 45 · OpenAlex
  3. Automatic Road Extraction from Historical Maps Using Deep Learning Techniques: A Regional Case Study of Turkey in a German World War II Map 2021 Atıf 45 · OpenAlex
  4. Integrated usage of historical geospatial data and modern satellite images reveal long-term land use/cover changes in Bursa/Turkey, 1858-2020 2022 Atıf 43 · OpenAlex
  5. Integrated usage of historical geospatial data and modern satellite images reveal long-term land use/cover changes in Bursa/Turkey, 1858\u20132020 2022 Atıf 43 · OpenAlex
  6. Integrated usage of historical geospatial data and modern satellite images reveal long-term land use/cover changes in Bursa/Turkey, 1858-2020 2022 Atıf 43 · OpenAlex
  7. A nineteenth-century urban Ottoman population micro dataset: Data extraction and relational database curation from the 1840s pre-census Bursa population registers 2024 Atıf 3 · OpenAlex
  8. Reconstruction of Residential Land Cover and Spatial Analysis of Population in Bursa Region (Turkey) in the Mid-Nineteenth Century 2021 Atıf 3 · OpenAlex
  9. Reconstruction of Residential Land Cover and Spatial Analysis of Population in Bursa Region (Turkey) in the Mid-Nineteenth Century 2021 Atıf 3 · OpenAlex
  10. Reconstruction of Residential Land Cover and Spatial Analysis of Population in Bursa Region (Turkey) in the Mid-Nineteenth Century 2021 Atıf 3 · OpenAlex

Yazarlar

  1. Eda Ustaoğlu
  2. MUSTAFA ERDEM KABADAYI KOÇ ÜNİVERSİTESİ