Detecting and predicting forest degradation: A comparison of ground surveys and remote sensing in Tanzanian forests

Ahrends, Antje; Bulling, Mark T.; Platts, Philip J.; Swetnam, Ruth D.; Ryan, Casey M.; Doggart, Nike; Hollingsworth, Peter; Marchant, Robert; Balmford, Andrew; Harris, David J.; Gross-Camp, Nicole; Sumbi, Peter; Munishi, P. K. T.; Madoffe, S. S.; Mhoro, Boniface E.; Leonard, Charles; Bracebridge, Claire; Doody, Kathryn; Wilkins, Victoria; Owen, Nisha; Marshall, A.; Schaafsma, Marije; Pfliegner, Kerstin; Jones, Trevor; Robinson, James Scott; Topp-Jorgensen, Elmer J.; Brink, Henry; Burgess, Neil D.

doi:10.1002/ppp3.10189

Cited by 30 publications

(29 citation statements)

References 69 publications

(111 reference statements)

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“…Throughfall deposition does not fully reflect the total (wet + dry) atmospheric deposition, however, because some substances are taken up or excreted or leached by tree canopy. In this paper we do not attempt to evaluate the effect of canopy interaction on throughfall deposition, discussed for example by Draaijers and Erisman (1995), Staelens et al (2008), Talkner et al (2010), or Ahrends et al (2021). Sites of the Swedish SWETHRO Network (Pihl- Karlsson et al, 2011) are not formally a part of ICP Forests, but the data are reported to ICP Forests, and used in this study.…”

Section: Icp Forests and Swethro Deposition Measurementsmentioning

confidence: 99%

Good Agreement Between Modeled and Measured Sulfur and Nitrogen Deposition in Europe, in Spite of Marked Differences in Some Sites

Marchetto

Simpson

Aas

et al. 2021

Front. Environ. Sci.

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Atmospheric nitrogen and sulfur deposition is an important effect of atmospheric pollution and may affect forest ecosystems positively, for example enhancing tree growth, or negatively, for example causing acidification, eutrophication, cation depletion in soil or nutritional imbalances in trees. To assess and design measures to reduce the negative impacts of deposition, a good estimate of the deposition amount is needed, either by direct measurement or by modeling. In order to evaluate the precision of both approaches and to identify possible improvements, we compared the deposition estimates obtained using an Eulerian model with the measurements performed by two large independent networks covering most of Europe. The results are in good agreement (bias <25%) for sulfate and nitrate open field deposition, while larger differences are more evident for ammonium deposition, likely due to the greater influence of local ammonia sources. Modeled sulfur total deposition compares well with throughfall deposition measured in forest plots, while the estimate of nitrogen deposition is affected by the tree canopy. The geographical distribution of pollutant deposition and of outlier sites where model and measurements show larger differences are discussed.

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Section: Icp Forests and Swethro Deposition Measurementsmentioning

confidence: 99%

Good Agreement Between Modeled and Measured Sulfur and Nitrogen Deposition in Europe, in Spite of Marked Differences in Some Sites

Marchetto

Simpson

Aas

et al. 2021

Front. Environ. Sci.

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“…The removal of the blocks operates such as gradual changes making the structure unstable (low resilience) until the wooden block collapse (irreversible state). Similarly, tipping points theory behave in the same way, with each day of accumulated environmental stress pushing the ecosystem closer to irreversible state such as desertification [43].…”

Section: Drought Drive To Land Degradation As the Major Impact On Ter...mentioning

confidence: 96%

“…As it mentioned before, the low resilience of an ecosystem faced critical transitions before is close to a tipping point due to the low trend of its recovery. The three metrics that depict an upcoming critical transition in any dynamic system such as an ecosystem are the spatial variance / standard deviation, skewness and autocorrelation [43]. The estimation trend of the above metric-based indicators implemented through Kendall's τ.…”

Section: Application Of Early-warning Signals On Vegetation Changesmentioning

confidence: 99%

Detecting changes in vegetation and climate that serve as early warning signal on land degradation using remote sensing: a review

Eliades

Hadjimitsis

Danezis

2021

Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIII

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Desertification and land degradation have severe negative effects on land-use, water resources, soil stability, agriculture and biodiversity. Especially, drylands cover 33.8% of northern Mediterranean countries: approximately 69% of Spain and 66% of Cyprus. The European Environment Agency (EEA) indicated that 8% of the territory of the European Union (mostly in Bulgaria, Cyprus, Greece, Italy, Spain and Portugal) experience a 'very high' or 'high sensitivity' to desertification. For Cyprus Island, 9.68% of the land area was found to be susceptible to land degradation.The objective of this literature review is to provide a detailed synthesis of the main contributions of the global vegetation phenology research to the development of environmental knowledge, based on land degradation/ desertification and Earth observation (EO)-based science and technology. The study identifies the current fields of research and possible research gaps. To achieve this, more than 700 scientific papers were screened from which approximately 549 papers were reviewed, identifying and the state of land surfaces and vegetation phenology with remote sensing data.Most of the studies have as a central research object direct human-induced land degradation or the degradation of anthropogenic-modified landscapes, without having considered long-term un-altered natural vegetation, in order to assess the impact and the level of climate change. Hence, a detailed EO-based time-series monitoring and analysis of un-altered natural vegetation could provide indicators that may serve as early warning signals for the scale and level of climate change induced effects on vegetation and ecosystems that might lead to land degradation and even to desertification.

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“…First experiences to identify individual tree species confirmed the high value of RSD, thanks to the increasing availability of higher-resolution images at high frequency [28,87,88]. Parallel efforts to generate ground data [50] provide fundamental knowledge to get better accuracy on RSD-based maps [22]. As RSD classification maps are assessed by "ground-truthing" [55], obtaining accurate field data is key to getting accurate species distribution maps.…”

Section: The Use Of Remote Sensing Data To Validate Species Distribution Modelsmentioning

confidence: 99%

“…Satellite spectral information (RSD) in combination with attributes obtained from inventory plots is a growing research field to investigate ecosystem functioning and to detect plant assemblages or ecosystem properties' changes in time that complement in situ terrestrial monitoring approaches [22,23]. Multi-spectral biophysical estimates of vegetation have been used to map large areas of forests [24] or to assist forest surveys for stratification and post-stratification field sampling [25].…”

Section: Introductionmentioning

confidence: 99%

Combining Remote Sensing and Species Distribution Modelling to Assess Pinus hartwegii Response to Climate Change and Land Use from Izta-Popo National Park, Mexico

García‐Amorena

Amat

Aullo-Maestro³

et al. 2021

Land

Self Cite

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A detailed analysis of distribution shifts in Pinus hartwegii Lindl. is provided across time for Izta-Popo National Park (México). Combining satellite images, species distribution models, and connectivity analysis we disentangled the effect of climate change and anthropogenic land use on the habitat availability. Twenty-four Maxent habitat suitability models with varying complexity were combined with insights on vegetation and land cover change derived from two Landsat satellite images at 30-m resolution from 1993 and 2013. To evaluate effects of climate change on Izta-Popo’s P. hartwegii forest, projections for future climatic conditions (averaged for 2050 and 2070) were derived using two General Circulation Models under three Representative CO2 concentration pathways (RCPs). Calculated fragmentation and connectivity indexes (Equivalent Connected Area and Probability of Connectivity metrics) showed significant habitat loss and habitat fragmentation that weakens P. hartwegii dispersion flux and the strength of connections. Projections of future climate conditions showed a reduction of P. hartwegii habitat suitability as populations would have to migrate to higher altitudes. However, the impact of anthropogenic land use change documented over the 20 years masks the predicted impact of climate change in Izta-Popo National Park.

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Detecting and predicting forest degradation: A comparison of ground surveys and remote sensing in Tanzanian forests

Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 30 publications

References 69 publications

Good Agreement Between Modeled and Measured Sulfur and Nitrogen Deposition in Europe, in Spite of Marked Differences in Some Sites

Good Agreement Between Modeled and Measured Sulfur and Nitrogen Deposition in Europe, in Spite of Marked Differences in Some Sites

Detecting changes in vegetation and climate that serve as early warning signal on land degradation using remote sensing: a review

Combining Remote Sensing and Species Distribution Modelling to Assess Pinus hartwegii Response to Climate Change and Land Use from Izta-Popo National Park, Mexico

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