Remote Sensing of Forests in Bavaria: A Review

Author:

Coleman Kjirsten1ORCID,Müller Jörg23,Kuenzer Claudia14

Affiliation:

1. German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), 82234 Wessling, Germany

2. Fabrikschleichach, Department of Animal Ecology and Tropical Biology, Biocenter, University of Würzburg, Glashüttenstraße 5, 96181 Rauhenebrach, Germany

3. Nationalpark Bavarian Forest, Freyunger Str. 2, 94481 Grafenau, Germany

4. Institute for Geography and Geology, University of Wuerzburg, 97074 Wuerzburg, Germany

Abstract

In recent decades, climatic pressures have altered the forested landscape of Bavaria. Widespread loss of trees has unevenly impacted the entire state, of which 37% is covered by forests (5% more than the national average). In 2018 and 2019—due in large part to drought and subsequent insect infestations—more tree-covered areas were lost in Bavaria than in any other German state. Moreover, the annual crown condition survey of Bavaria has revealed a decreasing trend in tree vitality since 1998. We conducted a systematic literature review regarding the remote sensing of forests in Bavaria. In total, 146 scientific articles were published between 2008 and 2023. While 88 studies took place in the Bavarian Forest National Park, only five publications covered the whole of Bavaria. Outside of the national park, the remaining 2.5 million hectares of forest in Bavaria are understudied. The most commonly studied topics were related to bark beetle infestations (24 papers); however, few papers focused on the drivers of infestations. The majority of studies utilized airborne data, while publications utilizing spaceborne data focused on multispectral; other data types were under-utilized- particularly thermal, lidar, and hyperspectral. We recommend future studies to both spatially broaden investigations to the state or national scale and to increase temporal data acquisitions together with contemporaneous in situ data. Especially in understudied topics regarding forest response to climate, catastrophic disturbances, regrowth and species composition, phenological timing, and in the sector of forest management. The utilization of remote sensing data in the forestry sector and the uptake of scientific results among stakeholders remains a challenge compared to other heavily forested European countries. An integral part of the Bavarian economy and the tourism sector, forests are also vital for climate regulation via atmospheric carbon reduction and land surface cooling. Therefore, forest monitoring remains centrally important to attaining more resilient and productive forests.

Funder

German Aerospace Center (DLR) Remote sensing data center (DFD) Land Surface Dynamics (LAX) department

Publisher

MDPI AG

Reference187 articles.

1. (2024, March 13). Germany, the Land of Forests—Forest Area Unchanged. Available online: https://www.bundeswaldinventur.de/en/third-national-forest-inventory/germany-the-land-of-forests-forest-area-unchanged.

2. (2024, March 07). Wetter und Klima—Deutscher Wetterdienst—Our Services—Climate Data for Direct Download. Available online: https://www.dwd.de/EN/ourservices/cdc/cdc_ueberblick-klimadaten_en.html.

3. Recent and Future Climate Extremes Arising from Changes to the Bivariate Distribution of Temperature and Precipitation in Bavaria, Germany;Estrella;Int. J. Climatol.,2013

4. Trends in Indices of Daily Temperature and Precipitation Extremes in Europe, 1946–99;Tank;J. Clim.,2003

5. Causes of Climate Change over the Historical Record;Hegerl;Environ. Res. Lett.,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3