Presenting a climate-smart forestry evaluation framework based on national forest inventories

نویسندگان

چکیده

Climate-smart forestry (CSF) has gained increasing attention in recent years. Yet, a framework to assess the three pillars of CSF, terms mitigation and adaptation climate change ecosystem service (ES) provision based on national forest inventory (NFI) data is currently lacking. In this study, we present an assessment CSF indicators derived from NFI. To quantify defined 1) carbon stock, 2) using biodiversity susceptibility disturbances caused by storm bark beetles 3) ES with timber production protection against avalanches rockfall. We demonstrate application Swiss NFI projections future development under four different management scenarios. Our results show that, general, stock at scale when current practices are maintained. Increases especially pronounced Jura Southern Alps regions. Trade-offs occur between enhancing adaption, sustainable such as production. Scenarios increased harvesting intensities lead higher supply short-term, while decreasing biodiversity-related old-growth protective function forests. The indicator presented study provides first methodological approach that can support policy making balance services context CSF.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Remote Sensing supporting national forest inventories NFA

This chapter deals with the integration of remote sensing data for national forest inventories. It will give a basic understanding of how remote sensing can be integrated in national forest inventories (NFA) and what aspects are important. It will give an overview of different remote sensing systems, data types, the advantages and disadvantages as well as future developments. Remote sensing dat...

متن کامل

Testing a Large-Scale Forestry Scenario Model by Means of Successive Inventories on a Forest Property

Modellers of large-scale forestry scenario models face numerous challenges. Information and sub-models from different disciplines within forestry, along with statistical and mathematical methodology, have to be considered. The individual biological submodels (i.e. models for recruitment, growth and mortality) applied in large-scale forestry scenario models are in general well documented and ext...

متن کامل

A Simulation of Image-Assisted Forest Monitoring for National Inventories

The efficiency of national forest monitoring efforts can be increased by the judicious incorporation of ancillary data. For instance, a fixed number of ground plots might be used to inform a larger set of annual estimates by observing a smaller proportion of the plots each year while augmenting each annual estimate with ancillary data in order to reduce overall costs while maintaining a desired...

متن کامل

Climate change impacts on forestry.

Changing temperature and precipitation pattern and increasing concentrations of atmospheric CO(2) are likely to drive significant modifications in natural and modified forests. Our review is focused on recent publications that discuss the changes in commercial forestry, excluding the ecosystem functions of forests and nontimber forest products. We concentrate on potential direct and indirect im...

متن کامل

Estimating dead wood during national forest inventories: a review of inventory methodologies and suggestions for harmonization.

Efforts to assess forest ecosystem carbon stocks, biodiversity, and fire hazards have spurred the need for comprehensive assessments of forest ecosystem dead wood (DW) components around the world. Currently, information regarding the prevalence, status, and methods of DW inventories occurring in the world's forested landscapes is scattered. The goal of this study is to describe the status, DW c...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Ecological Indicators

سال: 2021

ISSN: ['1470-160X', '1872-7034']

DOI: https://doi.org/10.1016/j.ecolind.2021.108459