Exploration of the Relationship Between Landscape Diversity and Carbon Storage Potential Using Remote Sensing and GIS

Year 2021, Volume: 18 Issue: 1, 89 - 96, 30.06.2021

Derya Gülçin

https://doi.org/10.25308/aduziraat.822263

Cited By: 1

Abstract

Human-induced Land Cover / Land Use (LCLU) changes have caused land degradation in the last decade and have led to an intense reduction of carbon especially in the Mediterranean basin. Remote sensing based metrics based on experimental assumptions to predict carbon storage can be used in simplified estimates of local carbon stocks where field data is missing. The aim of this study is to examine the relationship between landscape diversity and carbon storage through remote sensing and GIS. Conducted in Manisa, this study used LCLU data dated 2018, three landscape diversity metrics –Shannon’s diversity index (SHDI), patch richness density (PRD), and Simpson’s evenness index (SIEI) were calculated for sample areas at different distances. Diversity values and aboveground carbon storage values were evaluated by correlation analysis. As a result, all landscape diversity metrics explained the relationship between landscape diversity and carbon storage at medium level for 3000 m. This study suggests that SHDI explains this relationship better than other metrics (p <0.05). Future studies can generate new metrics that will allow cost effective and practical measurement of potential carbon storage using LCLU data. Thus, changes in carbon storage can also be practically monitored.

Keywords

Shannon’s diversity index, carbon capture, landscape metrics, landscape ecology, landscape planning

Uzaktan Algılama ve CBS Teknikleri ile Peyzaj Çeşitliliği ve Karbon Depolama Potansiyeli Arasındaki İlişkinin İncelenmesi

Abstract

Antropojenik faaliyetler kaynaklı Arazi Kullanımı/Arazi Örtüsü (AK/AO) değişimi, önemli miktarda toprak tahribatı ve arazi kaybına neden olmuştur. Bu nedenle, özellikle son on yılda Akdeniz’de karbon tutulumu azalmıştır. Arazi verisinin eksik olduğu alanlarda karbon depolanmasını tahmin etmek için deneysel varsayımlara dayanan küresel değerler, uzaktan algılama teknikleri ile yerel karbon stoklarının basitleştirilmiş tahminlerinde kullanılabilir. Bu çalışmanın amacı, peyzaj çeşitliliği ve karbon depolama potansiyeli arasındaki ilişkinin uzaktan algılama ve CBS aracılığıyla incelenmesidir. Manisa il sınırı bütününden oluşan peyzajda yürütülen bu çalışmada, güncel arazi kullanımı/arazi örtüsü verisi kullanılarak, farklı mesafelerdeki örneklik alanlar için peyzaj çeşitliliği metriklerinden Shannon çeşitlilik indeksi (SHDI), yama yoğunluğu (PRD) ve Simpson eşitlik indeksi (SIEI) hesaplanmıştır. Çeşitlilik değerleri ile yer üstü karbon tutumu değerleri korelasyon analizi ile değerlendirilmiştir. Sonuç olarak, kullanılan tüm peyzaj çeşitlilik metrikleri peyzaj çeşitliliği ve karbon depolama potansiyeli arasındaki ilişkiyi 3000 m’de en iyi düzeyde açıklamıştır. SHDI’nın bu ilişkiyi diğer metriklere göre daha iyi açıkladığı görülmüştür (p < 0,05). Ancak ilişkinin düzeyi ortadır ve yönü pozitiftir. Bundan sonraki çalışmalarda, AK/AO verisini kullanılarak karbon depolama potansiyelinin hızlı, pratik ve daha yüksek güvenilirlik seviyesinde ölçülmesini sağlayacak yeni metrikler üretilebilir. Böylece, AK/AO değişimlerine bağlı olarak arazideki karbon depolama potansiyeli değişimi de pratik olarak izlenebilir.

Keywords

Shannon çeşitlilik indeksi, karbon tutma, peyzaj metrikleri, peyzaj ekolojisi, peyzaj planlama

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